Oh, joy! Just when you thought the world of sunglasses couldn’t get any more exclusive, here comes Meta, strutting in with its latest coup: Prada shades! Because, let’s be honest, when you think of cutting-edge tech, who better to partner with than a fashion house known for turning fabric into fortune? That's right, folks—Ray-Ban, Oakley… and now Prada! I mean, it only makes sense. Who wouldn’t want to experience augmented reality while looking like they just stepped off a runway? Forget practicality; we’re living in a digital age where style trumps substance—especially when your sunglasses cost more than your monthly rent. Meta’s new venture is the perfect embodiment of this ethos: blending high fashion with the latest tech, or as I like to call it, “the art of looking fabulous while you fail to see reality.” The marketing team must have had a field day brainstorming this one. “Let’s take two things people love—fashion and technology—and mash them together like a smoothie that you can’t quite identify!” Brilliant! Imagine strutting down the street, these Prada shades perched on your nose, the world around you filtered through a lens that screams, “I’m too cool for your mundane existence.” And let’s not forget the irony of wearing designer sunglasses to look at a digital world. It’s like putting on a tuxedo to play video games in your basement. Who needs the real world when you can have a virtual one enhanced by a pair of overpriced glasses? It’s a match made in, well, a marketing executive’s dream. But hey, at least they’ve managed to keep the legacy of Ray-Ban and Oakley alive—who needs function when you can turn heads? Sure, they might not shield your eyes from the glaring truth of your bank account after this purchase, but at least you’ll be the best-dressed person in the room… or the one most likely to be judged for frivolous spending. So, to all you fashion-forward tech enthusiasts out there, let’s raise a toast to the new era of eyewear! May your Prada shades serve as a reminder that in this world, it’s not about what you see, but how you look doing it. Cheers to the future, where your inability to see the obvious is only matched by your impeccable taste in sunglasses! #MetaPrada #FashionTech #RayBanOakley #SunglassesSeason #VirtualReality

🌟 Hey everyone! 🌟 Today, I want to share with you an incredible journey that has transformed the world of sports in ways we never thought possible! The Enhanced Games are not just a crazy idea; they’re a spectacular reality that has shattered records and expectations! 🏆💥 Initially dismissed as a wild joke, the concept of the Enhanced Games took root in the minds of visionaries who dared to dream big! 🚀✨ Imagine a world where athletes push beyond their limits, fueled by innovation and the relentless pursuit of excellence. That’s exactly what the Enhanced Games represent—a thrilling blend of ambition, technology, and sheer determination! 🔥 With the support of some incredible backers, including the legendary Peter Thiel and a vibrant mix of retired athletes, the Enhanced Games have risen from mere speculation to a stunning phenomenon. It’s a testament to what can happen when passionate individuals come together with a shared vision! 💪🏼💖 Let’s talk about the athletes! These incredible individuals are not just competing; they are redefining what it means to be an athlete. They are pioneers, exploring the boundaries of human potential through the Enhanced Games. The way they embrace innovation and challenge the status quo is nothing short of inspiring! 🌈🏅 But wait, it’s not just about the competition. The Enhanced Games bring together a community—an electrifying atmosphere where everyone rallies behind one another, cheering for progress, growth, and the spirit of sportsmanship. Can you feel the energy? It’s contagious! 🙌🏼❤️ Now, I know some of you may have reservations about the unconventional aspects of the Enhanced Games, but remember, every groundbreaking idea faces skepticism before it takes flight. Just look at the history of sport and innovation! Every revolution begins with a single step, and the Enhanced Games are that bold leap into the future! 🌍✨ So, let’s celebrate the audacity to dream, the courage to innovate, and the joy of witnessing the remarkable evolution of sports. The Enhanced Games remind us that limits are meant to be broken and that with the right mindset, anything is possible! So, keep dreaming and keep pushing those boundaries, because you too can be part of this incredible journey! 🎉 Together, let’s embrace the spirit of the Enhanced Games! Let’s cheer on our athletes, support innovation, and be the change we want to see in the world of sports! 💖💪🏼 #EnhancedGames #RecordBreaking #InnovateAndInspire #DreamBig #SportsRevolution

Reading Time: 9 minutes In marketing, data isn’t a buzzword. It’s the lifeblood of all successful campaigns. But are you truly harnessing its power, or are you drowning in a sea of information? To answer this question, we sat down with Ankur Kothari, a seasoned Martech expert, to dive deep into this crucial topic. This interview, originally conducted for Chapter 6 of “The Customer Engagement Book: Adapt or Die” explores how businesses can translate raw data into actionable insights that drive real results. Ankur shares his wealth of knowledge on identifying valuable customer engagement data, distinguishing between signal and noise, and ultimately, shaping real-time strategies that keep companies ahead of the curve.   Ankur Kothari Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? Primarily, there are four different buckets of customer engagement data. I would begin with behavioral data, encompassing website interaction, purchase history, and other app usage patterns. Second would be demographic information: age, location, income, and other relevant personal characteristics. Third would be sentiment analysis, where we derive information from social media interaction, customer feedback, or other customer reviews. Fourth would be the customer journey data. We track touchpoints across various channels of the customers to understand the customer journey path and conversion. Combining these four primary sources helps us understand the engagement data. 2. How do you distinguish between data that is actionable versus data that is just noise? First is keeping relevant to your business objectives, making actionable data that directly relates to your specific goals or KPIs, and then taking help from statistical significance. Actionable data shows clear patterns or trends that are statistically valid, whereas other data consists of random fluctuations or outliers, which may not be what you are interested in. You also want to make sure that there is consistency across sources. Actionable insights are typically corroborated by multiple data points or channels, while other data or noise can be more isolated and contradictory. Actionable data suggests clear opportunities for improvement or decision making, whereas noise does not lead to meaningful actions or changes in strategy. By applying these criteria, I can effectively filter out the noise and focus on data that delivers or drives valuable business decisions. 3. How can customer engagement data be used to identify and prioritize new business opportunities? First, it helps us to uncover unmet needs. By analyzing the customer feedback, touch points, support interactions, or usage patterns, we can identify the gaps in our current offerings or areas where customers are experiencing pain points. Second would be identifying emerging needs. Monitoring changes in customer behavior or preferences over time can reveal new market trends or shifts in demand, allowing my company to adapt their products or services accordingly. Third would be segmentation analysis. Detailed customer data analysis enables us to identify unserved or underserved segments or niche markets that may represent untapped opportunities for growth or expansion into newer areas and new geographies. Last is to build competitive differentiation. Engagement data can highlight where our companies outperform competitors, helping us to prioritize opportunities that leverage existing strengths and unique selling propositions. 4. Can you share an example of where data insights directly influenced a critical decision? I will share an example from my previous organization at one of the financial services where we were very data-driven, which made a major impact on our critical decision regarding our credit card offerings. We analyzed the customer engagement data, and we discovered that a large segment of our millennial customers were underutilizing our traditional credit cards but showed high engagement with mobile payment platforms. That insight led us to develop and launch our first digital credit card product with enhanced mobile features and rewards tailored to the millennial spending habits. Since we had access to a lot of transactional data as well, we were able to build a financial product which met that specific segment’s needs. That data-driven decision resulted in a 40% increase in our new credit card applications from this demographic within the first quarter of the launch. Subsequently, our market share improved in that specific segment, which was very crucial. 5. Are there any other examples of ways that you see customer engagement data being able to shape marketing strategy in real time? When it comes to using the engagement data in real-time, we do quite a few things. In the recent past two, three years, we are using that for dynamic content personalization, adjusting the website content, email messaging, or ad creative based on real-time user behavior and preferences. We automate campaign optimization using specific AI-driven tools to continuously analyze performance metrics and automatically reallocate the budget to top-performing channels or ad segments. Then we also build responsive social media engagement platforms like monitoring social media sentiments and trending topics to quickly adapt the messaging and create timely and relevant content. With one-on-one personalization, we do a lot of A/B testing as part of the overall rapid testing and market elements like subject lines, CTAs, and building various successful variants of the campaigns. 6. How are you doing the 1:1 personalization? We have advanced CDP systems, and we are tracking each customer’s behavior in real-time. So the moment they move to different channels, we know what the context is, what the relevance is, and the recent interaction points, so we can cater the right offer. So for example, if you looked at a certain offer on the website and you came from Google, and then the next day you walk into an in-person interaction, our agent will already know that you were looking at that offer. That gives our customer or potential customer more one-to-one personalization instead of just segment-based or bulk interaction kind of experience. We have a huge team of data scientists, data analysts, and AI model creators who help us to analyze big volumes of data and bring the right insights to our marketing and sales team so that they can provide the right experience to our customers. 7. What role does customer engagement data play in influencing cross-functional decisions, such as with product development, sales, and customer service? Primarily with product development — we have different products, not just the financial products or products whichever organizations sell, but also various products like mobile apps or websites they use for transactions. So that kind of product development gets improved. The engagement data helps our sales and marketing teams create more targeted campaigns, optimize channel selection, and refine messaging to resonate with specific customer segments. Customer service also gets helped by anticipating common issues, personalizing support interactions over the phone or email or chat, and proactively addressing potential problems, leading to improved customer satisfaction and retention. So in general, cross-functional application of engagement improves the customer-centric approach throughout the organization. 8. What do you think some of the main challenges marketers face when trying to translate customer engagement data into actionable business insights? I think the huge amount of data we are dealing with. As we are getting more digitally savvy and most of the customers are moving to digital channels, we are getting a lot of data, and that sheer volume of data can be overwhelming, making it very difficult to identify truly meaningful patterns and insights. Because of the huge data overload, we create data silos in this process, so information often exists in separate systems across different departments. We are not able to build a holistic view of customer engagement. Because of data silos and overload of data, data quality issues appear. There is inconsistency, and inaccurate data can lead to incorrect insights or poor decision-making. Quality issues could also be due to the wrong format of the data, or the data is stale and no longer relevant. As we are growing and adding more people to help us understand customer engagement, I’ve also noticed that technical folks, especially data scientists and data analysts, lack skills to properly interpret the data or apply data insights effectively. So there’s a lack of understanding of marketing and sales as domains. It’s a huge effort and can take a lot of investment. Not being able to calculate the ROI of your overall investment is a big challenge that many organizations are facing. 9. Why do you think the analysts don’t have the business acumen to properly do more than analyze the data? If people do not have the right idea of why we are collecting this data, we collect a lot of noise, and that brings in huge volumes of data. If you cannot stop that from step one—not bringing noise into the data system—that cannot be done by just technical folks or people who do not have business knowledge. Business people do not know everything about what data is being collected from which source and what data they need. It’s a gap between business domain knowledge, specifically marketing and sales needs, and technical folks who don’t have a lot of exposure to that side. Similarly, marketing business people do not have much exposure to the technical side — what’s possible to do with data, how much effort it takes, what’s relevant versus not relevant, and how to prioritize which data sources will be most important. 10. Do you have any suggestions for how this can be overcome, or have you seen it in action where it has been solved before? First, cross-functional training: training different roles to help them understand why we’re doing this and what the business goals are, giving technical people exposure to what marketing and sales teams do. And giving business folks exposure to the technology side through training on different tools, strategies, and the roadmap of data integrations. The second is helping teams work more collaboratively. So it’s not like the technology team works in a silo and comes back when their work is done, and then marketing and sales teams act upon it. Now we’re making it more like one team. You work together so that you can complement each other, and we have a better strategy from day one. 11. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? We present clear business cases where we demonstrate how data-driven recommendations can directly align with business objectives and potential ROI. We build compelling visualizations, easy-to-understand charts and graphs that clearly illustrate the insights and the implications for business goals. We also do a lot of POCs and pilot projects with small-scale implementations to showcase tangible results and build confidence in the data-driven approach throughout the organization. 12. What technologies or tools have you found most effective for gathering and analyzing customer engagement data? I’ve found that Customer Data Platforms help us unify customer data from various sources, providing a comprehensive view of customer interactions across touch points. Having advanced analytics platforms — tools with AI and machine learning capabilities that can process large volumes of data and uncover complex patterns and insights — is a great value to us. We always use, or many organizations use, marketing automation systems to improve marketing team productivity, helping us track and analyze customer interactions across multiple channels. Another thing is social media listening tools, wherever your brand is mentioned or you want to measure customer sentiment over social media, or track the engagement of your campaigns across social media platforms. Last is web analytical tools, which provide detailed insights into your website visitors’ behaviors and engagement metrics, for browser apps, small browser apps, various devices, and mobile apps. 13. How do you ensure data quality and consistency across multiple channels to make these informed decisions? We established clear guidelines for data collection, storage, and usage across all channels to maintain consistency. Then we use data integration platforms — tools that consolidate data from various sources into a single unified view, reducing discrepancies and inconsistencies. While we collect data from different sources, we clean the data so it becomes cleaner with every stage of processing. We also conduct regular data audits — performing periodic checks to identify and rectify data quality issues, ensuring accuracy and reliability of information. We also deploy standardized data formats. On top of that, we have various automated data cleansing tools, specific software to detect and correct data errors, redundancies, duplicates, and inconsistencies in data sets automatically. 14. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? The first thing that’s been the biggest trend from the past two years is AI-driven decision making, which I think will become more prevalent, with advanced algorithms processing vast amounts of engagement data in real-time to inform strategic choices. Somewhat related to this is predictive analytics, which will play an even larger role, enabling businesses to anticipate customer needs and market trends with more accuracy and better predictive capabilities. We also touched upon hyper-personalization. We are all trying to strive toward more hyper-personalization at scale, which is more one-on-one personalization, as we are increasingly capturing more engagement data and have bigger systems and infrastructure to support processing those large volumes of data so we can achieve those hyper-personalization use cases. As the world is collecting more data, privacy concerns and regulations come into play. I believe in the next few years there will be more innovation toward how businesses can collect data ethically and what the usage practices are, leading to more transparent and consent-based engagement data strategies. And lastly, I think about the integration of engagement data, which is always a big challenge. I believe as we’re solving those integration challenges, we are adding more and more complex data sources to the picture. So I think there will need to be more innovation or sophistication brought into data integration strategies, which will help us take a truly customer-centric approach to strategy formulation.   This interview Q&A was hosted with Ankur Kothari, a previous Martech Executive, for Chapter 6 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Ankur Kothari Q&A: Customer Engagement Book Interview appeared first on MoEngage. #ankur #kothari #qampampa #customer #engagement

Start SlideshowStart SlideshowImage: The Pokémon Company, Arrowhead Game Studios, Blizzard, The Pokémon Company, Screenshot: Capcom / Samuel Moreno / Kotaku, Bethesda / Brandon Morgan / Kotaku, Nintendo, Bethesda / Brandon Morgan / Kotaku, Capcom / Samuel Moreno / KotakuYou know what we all need sometimes? A little advice. How do I plan for a future that’s so uncertain? Will AI take my job? If I go back to school and use AI to cheat, will I graduate and work for an AI boss? We can’t help you with any of that. But what we can do is provide some tips for Helldivers 2, Monster Hunter Wilds, Oblivion Remastered, and other great games. So, read on for that stuff, and maybe ask ChatGPT about those other things.Previous SlideNext SlideList slidesDon’t Rely On Ex Pokémon In Pokémon TCG Pocket AnymoreImage: The Pokémon CompanyDuring the initial months of Pokémon TCG Pocket, ex monsters dominated the competitive landscape. These monsters arestronger than their non-ex counterparts, and they can come with game-changing abilities that determine how your entire deck plays. In the past, players could create frustratingly fearsome decks consisting of two ex Pokémon supported by trainer and item cards. However, unless you pair together very specific ex Pokémon, you’ll now find yourself losing nearly every game you play. - Timothy Monbleau Read MorePrevious SlideNext SlideList slidesPlease, For The Love Of God, Defeat All Illuminate Stingrays In Helldivers 2Image: Arrowhead Game StudiosYou know what? Screw the Illuminate. I played round after round trying to get the Stingrays, also known as an Interloper, to spawn at least once, and those damn Overseers and Harvesters kept walking up and rocking me. In the end, I was victorious. A Stingray approached the airspace with reckless abandon, swooping in with practiced ease as it unloaded a barrage of molten death beams upon my head, and you know what happened? I died. A few times. But eventually, I managed to pop a shot off and I quickly discovered how to defeat Illuminate Stingrays in Helldivers 2. - Brandon Morgan Read MorePrevious SlideNext SlideList slidesDefeating Monster Hunter Wilds’ Demi Elder Dragon Might Be The Game’s Hardest Challenge So FarScreenshot: Capcom / Samuel Moreno / KotakuAlthough Zoh Shia is the thematic boss of Monster Hunter Wilds, other beasts can put up a tougher fight. Gore Magalaare easily in contention for being the most deadly enemies in the game. Not much is more threatening than their high mobility, powerful attacks, and unique Frenzy ailment that forms the basis for your Corrupted Mantle. - Samuel Moreno Read MorePrevious SlideNext SlideList slidesDon’t Forget To Play ‘The Shivering Isles’ Expansion In Oblivion RemasteredScreenshot: Bethesda / Brandon Morgan / KotakuWhether you’ve played the original Oblivion or not, chances are you’ve heard tales of the oddities awaiting you in the Shivering Isles. This expansion—the largest one for the open-world RPG—features a land of madness under the unyielding control of Sheogorath. It’s a beautiful world, yet so immensely wrong. But that’s why this DLC is one of the best in the franchise, so no matter how many hours you may have already put into the main story and the main world, you don’t want to miss this expansion. - Brandon Morgan Read MorePrevious SlideNext SlideList slidesHow Long Of A Ride Is Mario Kart World?Screenshot: NintendoThe Mario Kart franchise has been entertaining us all for decades—even with sibling fights and fits of rage over losing a race from a blue shell at the last second—but Mario Kart World is the first game to go open world. There hasn’t been a truly new entry in the series since 2014's Mario Kart 8, so being stoked to dive into this exciting adventure is perfectly reasonable. Equally reasonable, especially given the game’s controversial price tag, is to wonder how long it’ll take to beat and what type of replayability it offers. Let’s talk about it. - Billy Givens Read MorePrevious SlideNext SlideList slidesMario Kart World Players Are Exploiting Free Roam To Quickly Farm CoinsGif: Nintendo / FannaWuck / KotakuMario Kart World is full of cool stunts and lots of things to unlock, like new characters, costumes, and vehicles. The last of those requires accumulating a certain number of coins during your time with the Switch 2 exclusive, and while you could do that the normal way by just playing tons of races, you can also use the latest entry’s open world to farm coins faster or even while being completely AFK. - Ethan Gach Read MorePrevious SlideNext SlideList slidesOblivion Remastered’s Best Side Quest Is A World Within A WorldScreenshot: Bethesda / Brandon Morgan / KotakuIt’s been a long time since I kept a spreadsheet for a video game, or even notes beyond what I need for work. I had one for the original Oblivion run back in my school days. Back then, I knew where to find every side quest in the game. There were over 250. Still are, but now they’re enhanced, beautified for the modern gamer. One side quest retains its crown as the best, despite the game’s age. “A Brush With Death” is Oblivion Remastered’s best side quest by far, and here’s how to find and beat it! - Brandon Morgan Read MorePrevious SlideNext SlideList slidesDiablo IV: How To Power Level Your Way To Season 8's EndgameImage: BlizzardWhether you’re running a new build, trying out a new class, or returning to Diablo IV after an extended break,Whatever the case, learning how to level up fast in Diablo IV should help you check out everything new this season, along with hitting endgame so that your friends don’t cruelly make fun of you! - Brandon Morgan Read MorePrevious SlideNext SlideList slidesThe 5 Strongest Non-Ex Pokémon To Use In Pokémon TCG PocketImage: The Pokémon CompanyIt’s official: ex Pokémon no longer rule unchallenged Pokémon TCG Pocket. While these powerful cards are still prevalent in the competitive landscape, the rise of ex-specific counters have made many of these monsters risky to bring. It’s never been more vital to find strong Pokémon that are unburdened by the ex label, but who should you use? - Timothy Monbleau Read MorePrevious SlideNext SlideList slidesSome Of The Coolest Monster Hunter Wilds Armor Can Be Yours If You Collect Enough CoinsScreenshot: Capcom / Samuel Moreno / KotakuIt goes without saying that Monster Hunter Wilds has a lot of equipment materials to keep track of. The Title 1 Update increased the amount with the likes of Mizutsune parts and the somewhat obscurely named Pinnacle Coins. While it’s easy to know what the monster parts can be used for, the same can’t be said for a coin. Making things more complicated is that the related equipment isn’t unlocked all at once. - Samuel Moreno Read More #this #week039s #tips #helldivers #monster

Jun 16, 2025Ravie LakshmananMalware / DevOps Cybersecurity researchers have discovered a malicious package on the Python Package Indexrepository that's capable of harvesting sensitive developer-related information, such as credentials, configuration data, and environment variables, among others. The package, named chimera-sandbox-extensions, attracted 143 downloads and likely targets users of a service called Chimera Sandbox, which was released by Singaporean tech company Grab last August to facilitate "experimentation and development ofsolutions." The package masquerades as a helper module for Chimera Sandbox, but "aims to steal credentials and other sensitive information such as Jamf configuration, CI/CD environment variables, AWS tokens, and more," JFrog security researcher Guy Korolevski said in a report published last week. Once installed, it attempts to connect to an external domain whose domain name is generated using a domain generation algorithmin order to download and execute a next-stage payload. Specifically, the malware acquires from the domain an authentication token, which is then used to send a request to the same domain and retrieve the Python-based information stealer. The stealer malware is equipped to siphon a wide range of data from infected machines. This includes - JAMF receipts, which are records of software packages installed by Jamf Pro on managed computers Pod sandbox environment authentication tokens and git information CI/CD information from environment variables Zscaler host configuration Amazon Web Services account information and tokens Public IP address General platform, user, and host information The kind of data gathered by the malware shows that it's mainly geared towards corporate and cloud infrastructure. In addition, the extraction of JAMF receipts indicates that it's also capable of targeting Apple macOS systems. The collected information is sent via a POST request back to the same domain, after which the server assesses if the machine is a worthy target for further exploitation. However, JFrog said it was unable to obtain the payload at the time of analysis. "The targeted approach employed by this malware, along with the complexity of its multi-stage targeted payload, distinguishes it from the more generic open-source malware threats we have encountered thus far, highlighting the advancements that malicious packages have made recently," Jonathan Sar Shalom, director of threat research at JFrog Security Research team, said. "This new sophistication of malware underscores why development teams remain vigilant with updates—alongside proactive security research – to defend against emerging threats and maintain software integrity." The disclosure comes as SafeDep and Veracode detailed a number of malware-laced npm packages that are designed to execute remote code and download additional payloads. The packages in question are listed below - eslint-config-airbnb-compatts-runtime-compat-checksolders@mediawave/libAll the identified npm packages have since been taken down from npm, but not before they were downloaded hundreds of times from the package registry. SafeDep's analysis of eslint-config-airbnb-compat found that the JavaScript library has ts-runtime-compat-check listed as a dependency, which, in turn, contacts an external server defined in the former packageto retrieve and execute a Base64-encoded string. The exact nature of the payload is unknown. "It implements a multi-stage remote code execution attack using a transitive dependency to hide the malicious code," SafeDep researcher Kunal Singh said. Solders, on the other hand, has been found to incorporate a post-install script in its package.json, causing the malicious code to be automatically executed as soon as the package is installed. "At first glance, it's hard to believe that this is actually valid JavaScript," the Veracode Threat Research team said. "It looks like a seemingly random collection of Japanese symbols. It turns out that this particular obfuscation scheme uses the Unicode characters as variable names and a sophisticated chain of dynamic code generation to work." Decoding the script reveals an extra layer of obfuscation, unpacking which reveals its main function: Check if the compromised machine is Windows, and if so, run a PowerShell command to retrieve a next-stage payload from a remote server. This second-stage PowerShell script, also obscured, is designed to fetch a Windows batch script from another domainand configures a Windows Defender Antivirus exclusion list to avoid detection. The batch script then paves the way for the execution of a .NET DLL that reaches out to a PNG image hosted on ImgBB. "is grabbing the last two pixels from this image and then looping through some data contained elsewhere in it," Veracode said. "It ultimately builds up in memory YET ANOTHER .NET DLL." Furthermore, the DLL is equipped to create task scheduler entries and features the ability to bypass user account controlusing a combination of FodHelper.exe and programmatic identifiersto evade defenses and avoid triggering any security alerts to the user. The newly-downloaded DLL is Pulsar RAT, a "free, open-source Remote Administration Tool for Windows" and a variant of the Quasar RAT. "From a wall of Japanese characters to a RAT hidden within the pixels of a PNG file, the attacker went to extraordinary lengths to conceal their payload, nesting it a dozen layers deep to evade detection," Veracode said. "While the attacker's ultimate objective for deploying the Pulsar RAT remains unclear, the sheer complexity of this delivery mechanism is a powerful indicator of malicious intent." Crypto Malware in the Open-Source Supply Chain The findings also coincide with a report from Socket that identified credential stealers, cryptocurrency drainers, cryptojackers, and clippers as the main types of threats targeting the cryptocurrency and blockchain development ecosystem. Some of the examples of these packages include - express-dompurify and pumptoolforvolumeandcomment, which are capable of harvesting browser credentials and cryptocurrency wallet keys bs58js, which drains a victim's wallet and uses multi-hop transfers to obscure theft and frustrate forensic tracing. lsjglsjdv, asyncaiosignal, and raydium-sdk-liquidity-init, which functions as a clipper to monitor the system clipboard for cryptocurrency wallet strings and replace them with threat actor‑controlled addresses to reroute transactions to the attackers "As Web3 development converges with mainstream software engineering, the attack surface for blockchain-focused projects is expanding in both scale and complexity," Socket security researcher Kirill Boychenko said. "Financially motivated threat actors and state-sponsored groups are rapidly evolving their tactics to exploit systemic weaknesses in the software supply chain. These campaigns are iterative, persistent, and increasingly tailored to high-value targets." AI and Slopsquatting The rise of artificial intelligence-assisted coding, also called vibe coding, has unleashed another novel threat in the form of slopsquatting, where large language modelscan hallucinate non-existent but plausible package names that bad actors can weaponize to conduct supply chain attacks. Trend Micro, in a report last week, said it observed an unnamed advanced agent "confidently" cooking up a phantom Python package named starlette-reverse-proxy, only for the build process to crash with the error "module not found." However, should an adversary upload a package with the same name on the repository, it can have serious security consequences. Furthermore, the cybersecurity company noted that advanced coding agents and workflows such as Claude Code CLI, OpenAI Codex CLI, and Cursor AI with Model Context Protocol-backed validation can help reduce, but not completely eliminate, the risk of slopsquatting. "When agents hallucinate dependencies or install unverified packages, they create an opportunity for slopsquatting attacks, in which malicious actors pre-register those same hallucinated names on public registries," security researcher Sean Park said. "While reasoning-enhanced agents can reduce the rate of phantom suggestions by approximately half, they do not eliminate them entirely. Even the vibe-coding workflow augmented with live MCP validations achieves the lowest rates of slip-through, but still misses edge cases." Found this article interesting? Follow us on Twitter  and LinkedIn to read more exclusive content we post. SHARE     #malicious #pypi #package #masquerades #chimera

The roster of skaters originally featured in Tony Hawk’s™ Pro Skater™ 3 and Tony Hawk’s™ Pro Skater™ 4 helped to further catapult skateboarding culture into the mainstream as big names like Bob Burnquist, Steve Caballero, Elissa Steamer, and Chad Muska joined Tony Hawk in a stacked roster of award-winning pro skaters capable of shredding in and out of the game. In this feature, following the Demo announcement and the full soundtrack reveal, we’re proud to share the full roster of returning skaters in the upcoming Tony Hawk’s™ Pro Skater™ 3 + 4arriving on PlayStation 4 and 5, Xbox Series X|S, Xbox One, Nintendo Switch, Nintendo Switch 2, and PC. Tony Hawk’s Pro Skater 3 + 4 launches on July 11. THPS 3 + 4: Returning Skaters From gold medalists to progenitors of some of today’s most iconic skateboarding tricks, these classic skaters were instrumental in bringing skateboarding culture to a wider audience. Mixing courage, creativity, and an iron will, they’re more than ready to tackle any obstacle put before them. “Being in the original games was epic!” shares Elissa Steamer, who was the first playable female skater in the original Tony Hawk’s Pro Skater game. “It was semi-life changing. I can’t say enough about how stoked I was – and am now! – to be in the games.” “From the moment Tony asked, it was an honor, yet I had no idea of what it would come to mean,” says Rodney Mullen, originator of the kickflip and largely considered one of the most influential skaters in the sport. “The first time I showed up on tour after the release of the game, I recall ‘em shop owners having to put me on top of the tour van roof to manage so that I could sign things in all the madness. The crowd was rocking the van back and forth!blew my mind, the impact it had.” “The game attracted such a broader group of skaters, which has elevated our community in layered ways: from tricks to societal acceptance to the respect we get from people who often thought otherwise, like parents discouraging their kids who were simply outsiders looking for a place to belong,” Mullen continues. “Skating is integrated with a culture, a way of being, more than pretty much any other sport I can think of. The way Tony’s game shows that via the music, art, and vibe batted this home. It’s cool to be understood.”  When Tony Hawk’s Pro Skater 3 + 4 launches this July, here are the returning skaters ready to hit the pavement once again, including skaters featured in the original Tony Hawk’s Pro Skater 3 and Tony Hawk’s Pro Skater 4 games plus other titles in the series. Tony Hawk San Diego, California Style: Vert / Stance: Goofy Tony Hawk made history by landing the first ever 900 at the 1999 X Games, skyrocketing the sport into the mainstream. Today he remains the sport’s most iconic figure. Bob Burnquist Rio de Janeiro, Brazil Style: Vert / Stance: Regular Bob Burnquist shocked the skateboarding world when he landed the first Fakie 900. His iconic “Dreamland” skatepark is home to a permanent Mega Ramp. Bucky Lasek Baltimore, Maryland Style: Vert / Stance: Regular Known for his vert skills, Bucky has won 10 gold medals at the X Games and is one of only two vert skateboarders to have won three gold medals consecutively. Steve Caballero San Jose, California Style: Vert / Stance: Goofy An iconic skateboarder responsible for inventing various vert tricks. He holds the record for the highest air ever achieved on a halfpipe. Kareem Campbell Harlem, New York Style: Street / Stance: Regular Called the godfather of smooth street style, Kareem left his mark by popularizing the skateboard trick, “The Ghetto Bird,” and founded City Stars Skateboards. Geoff Rowley Liverpool, England Style: Street / Stance: Regular Geoff Joseph Rowley Jr. is an English skateboarder and owner of Civilware Service Corporation. In 2000 he was crowned “Skater of the Year” by Thrasher Magazine. Andrew Reynolds North Hollywood, California Style: Street / Stance: Regular Co-founder and owner of Baker Skateboards, Andrew Reynolds turned pro in 1995 and won Thrasher Magazine’s “Skater of the Year” award just three years later. Elissa Steamer San Francisco, California Style: Street / Stance: Regular Elissa is a four-time X Games gold medalist, the first female skateboarder to go pro, and the first woman ever inducted into the Skateboarding Hall of Fame. Chad Muska Los Angeles, California Style: Street / Stance: Regular Artist, musician, and entrepreneur. Described by the Transworld Skateboarding editor-in-chief as “one of the most marketable pros skateboarding has ever seen.” Eric Koston Los Angeles, California Style: Street / Stance: Goofy Co-founder of Fourstar Clothing and the skate brand The Berrics, Eric is a master of street skateboarding and a two-time X Games gold medalist. Rodney Mullen Gainesville, Florida Style: Freestyle / Stance: Regular One of the most influential skateboarders of all time, Rodney Mullen is the progenitor of the Flatground Ollie, Kickflip, Heelflip, and dozens of other iconic tricks. Jamie Thomas Dothan, Alabama Style: Street / Stance: Regular Nicknamed “The Chief,” Jamie is the owner and founder of Zero Skateboards. He helped film 1996’s “Welcome to Hell,” one of the most iconic skate videos ever made. Rune Glifberg Copenhagen, Denmark Style: Vert / Stance: Regular Nicknamed “The Danish Destroyer,” Rune Glifberg is one of three skaters to have competed at every X Games, amassing over 12 medals at the competition. Aori Nishimura Tokyo, Japan Style: Street / Stance: Regular Born in Edogawa, Tokyo in Japan, Aori Nishimura started skateboarding at the age of 7 and went on to become the first athlete from Japan to win gold at the X Games. Leo Baker Brooklyn, New York Style: Street / Stance: Goofy Leo is the first non-binary and transgender professional skateboarder in the Pro Skater™ series and has won three gold medals, placing in over 32 competitions.  Leticia Bufoni São Paulo, Brazil Style: Street / Stance: Goofy Multiple world record holder and six-time gold medalist. Named the #1 women’s street skateboarder by World Cup of Skateboarding four years in a row. Lizzie Armanto Santa Monica, California Style: Park / Stance: Regular A member of the Birdhouse skate team, Lizzie has amassed over 30 skateboarding awards and was the first female skater to complete “The Loop,” a 360-degree ramp. Nyjah Huston Laguna Beach, California Style: Street / Stance: Goofy One of skateboarding’s biggest stars, Nyjah has earned over 12 X Games gold medals, 6 Championship titles, and a bronze medal at the 2024 Summer of Olympics. Riley Hawk San Diego, California Style: Street / Stance: Goofy Riley Hawk decided to turn pro on his 21st birthday and became Skateboarder Magazine’s 2013 Amateur of the Year later that same day. Shane O’Neill Melbourne, Australia Style: Street / Stance: Goofy Australian skateboarder who is one of only a few skateboarders to win gold in all four major skateboarding contests, including the X Games and SLS. Tyshawn Jones Bronx, New York Style: Street / Stance: Regular A New York City native and two-time Thrasher Magazine “Skate of the Year” winner, Tyshawn Jones is the youngest skateboarder to ever achieve that accolade. The above skaters are far from the only icons you’ll encounter in the game’s large roster. Keep your eyes on the Tony Hawk’s Pro Skater blog found here for more info on Tony Hawk’s Pro Skater 3 + 4 as we approach its July 11 release date, including the full reveal of new skaters joining in on the fun.  Tony Hawk’s Pro Skater 3 + 4 rebuilds the original games from the ground up with classic and new skaters, parks, tricks, tracks, and more. Skate through a robust Career mode taking on challenges across two tours, chase high scores in Single Sessions and Speedruns, or go at your own pace in Free Skate. Get original with enhanced creation tools, go big in New Game+, and skate with your friends in cross-platform online multiplayer* supporting up to eight skaters at a time. New to the series? Hit up the in-game tutorial led by Tony Hawk himself to kick off your skating journey with tips on Ollies, kick flips, vert tricks, reverts, manuals, special tricks, and more. Don’t miss the Foundry Demo, available now, featuring playable skaters, two parks, and a selection of songs from the soundtrack. Pre-order Tony Hawk’s Pro Skater 3 + 4 on select platforms* for access to the demo and find more info here. Purchase the Digital Deluxe Edition and gain Early Access*** to play Tony Hawk’s™ Pro Skater™ 3 + 4 three days before the official July 11 launch date. Shred the parks and spread fear as the Doom Slayer and Revenant skaters plus get extra music, skate decks, and Create-A-Skater gear: Doom Slayer: Play as Doom Slayer, featuring a Standard and Retro outfit plus two unique special tricks and the Unmaykr Hoverboard. Revenant: Get evil with the Revenant, including two unique special tricks. Additional Music: Headbang to a selection of classic and modern music tracks added to the in-game soundtrack. Skate Decks: Access additional skate decks including Doom Slayer and Revenant themed designs. Create-A-Skater Items: Kit out your skater with additional apparel items. Pre-orders are now available for Tony Hawk’s Pro Skater 3 + 4 on PlayStation 4 and 5, Xbox Series X|S, Xbox One, Nintendo Switch, and PC. For more information, visit tonyhawkthegame.com. * Activision account and internet required for online multiplayer and other features. Platform gaming subscription may be required for multiplayer and other features. **Foundry demo available on PlayStation 4 and 5, Xbox Series X|S, Xbox One, and PC. Not available on Nintendo Switch. Foundry Demo availability and launch datesubject to change. Internet connection required. *** Actual play time subject to possible outages and applicable time zone differences. #tony #hawks #pro #skater #returning

Navigating the dense urban canyons of cities like San Francisco or New York can be a nightmare for GPS systems. The towering skyscrapers block and reflect satellite signals, leading to location errors of tens of meters. For you and me, that might mean a missed turn. But for an autonomous vehicle or a delivery robot, that level of imprecision is the difference between a successful mission and a costly failure. These machines require pinpoint accuracy to operate safely and efficiently. Addressing this critical challenge, researchers from the École Polytechnique Fédérale de Lausannein Switzerland have introduced a groundbreaking new method for visual localization during CVPR 2025 Their new paper, “FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching,” presents a novel AI model that significantly enhances the ability of a ground-level system, like an autonomous car, to determine its exact position and orientation using only a camera and a corresponding aerialimage. The new approach has demonstrated a remarkable 28% reduction in mean localization error compared to the previous state-of-the-art on a challenging public dataset. Key Takeaways: Superior Accuracy: The FG2 model reduces the average localization error by a significant 28% on the VIGOR cross-area test set, a challenging benchmark for this task. Human-like Intuition: Instead of relying on abstract descriptors, the model mimics human reasoning by matching fine-grained, semantically consistent features—like curbs, crosswalks, and buildings—between a ground-level photo and an aerial map. Enhanced Interpretability: The method allows researchers to “see” what the AI is “thinking” by visualizing exactly which features in the ground and aerial images are being matched, a major step forward from previous “black box” models. Weakly Supervised Learning: Remarkably, the model learns these complex and consistent feature matches without any direct labels for correspondences. It achieves this using only the final camera pose as a supervisory signal. Challenge: Seeing the World from Two Different Angles The core problem of cross-view localization is the dramatic difference in perspective between a street-level camera and an overhead satellite view. A building facade seen from the ground looks completely different from its rooftop signature in an aerial image. Existing methods have struggled with this. Some create a general “descriptor” for the entire scene, but this is an abstract approach that doesn’t mirror how humans naturally localize themselves by spotting specific landmarks. Other methods transform the ground image into a Bird’s-Eye-Viewbut are often limited to the ground plane, ignoring crucial vertical structures like buildings. FG2: Matching Fine-Grained Features The EPFL team’s FG2 method introduces a more intuitive and effective process. It aligns two sets of points: one generated from the ground-level image and another sampled from the aerial map. Here’s a breakdown of their innovative pipeline: Mapping to 3D: The process begins by taking the features from the ground-level image and lifting them into a 3D point cloud centered around the camera. This creates a 3D representation of the immediate environment. Smart Pooling to BEV: This is where the magic happens. Instead of simply flattening the 3D data, the model learns to intelligently select the most important features along the verticaldimension for each point. It essentially asks, “For this spot on the map, is the ground-level road marking more important, or is the edge of that building’s roof the better landmark?” This selection process is crucial, as it allows the model to correctly associate features like building facades with their corresponding rooftops in the aerial view. Feature Matching and Pose Estimation: Once both the ground and aerial views are represented as 2D point planes with rich feature descriptors, the model computes the similarity between them. It then samples a sparse set of the most confident matches and uses a classic geometric algorithm called Procrustes alignment to calculate the precise 3-DoFpose. Unprecedented Performance and Interpretability The results speak for themselves. On the challenging VIGOR dataset, which includes images from different cities in its cross-area test, FG2 reduced the mean localization error by 28% compared to the previous best method. It also demonstrated superior generalization capabilities on the KITTI dataset, a staple in autonomous driving research. Perhaps more importantly, the FG2 model offers a new level of transparency. By visualizing the matched points, the researchers showed that the model learns semantically consistent correspondences without being explicitly told to. For example, the system correctly matches zebra crossings, road markings, and even building facades in the ground view to their corresponding locations on the aerial map. This interpretability is extremenly valuable for building trust in safety-critical autonomous systems. “A Clearer Path” for Autonomous Navigation The FG2 method represents a significant leap forward in fine-grained visual localization. By developing a model that intelligently selects and matches features in a way that mirrors human intuition, the EPFL researchers have not only shattered previous accuracy records but also made the decision-making process of the AI more interpretable. This work paves the way for more robust and reliable navigation systems for autonomous vehicles, drones, and robots, bringing us one step closer to a future where machines can confidently navigate our world, even when GPS fails them. Check out the Paper. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 100k+ ML SubReddit and Subscribe to our Newsletter. Jean-marc MommessinJean-marc is a successful AI business executive .He leads and accelerates growth for AI powered solutions and started a computer vision company in 2006. He is a recognized speaker at AI conferences and has an MBA from Stanford.Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/AI-Generated Ad Created with Google’s Veo3 Airs During NBA Finals, Slashing Production Costs by 95%Jean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video ControlJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised to Reshape Data AnalyticsJean-marc Mommessinhttps://www.marktechpost.com/author/jean-marc0000677/Exclusive Talk: Joey Conway of NVIDIA on Llama Nemotron Ultra and Open Source Models #epfl #researchers #unveil #fg2 #cvpr

An LLM in 2018 would not have trivialized a complex project, although it could have enhanced the final solution The post What If I had AI in 2018: Rent the Runway Fulfillment Center Optimization appeared first on Towards Data Science. #what #had #rent #runway #fulfillment

Reading Time: 9 minutes In the ever-evolving landscape of customer engagement, staying ahead of the curve is not just advantageous, it’s essential. That’s why, for Chapter 7 of “The Customer Engagement Book: Adapt or Die,” we sat down with Mirela Cialai, a seasoned expert in CRM and Martech strategies at brands like Equinox. Mirela brings a wealth of knowledge in aligning technology roadmaps with business goals, shifting organizational focuses from acquisition to retention, and leveraging hyper-personalization to drive success. In this interview, Mirela dives deep into building robust customer engagement technology roadmaps. She unveils the “PAPER” framework—Plan, Audit, Prioritize, Execute, Refine—a simple yet effective strategy for marketers. You’ll gain insights into identifying gaps in your Martech stack, ensuring data accuracy, and prioritizing initiatives that deliver the greatest impact and ROI. Whether you’re navigating data silos, striving for cross-functional alignment, or aiming for seamless tech integration, Mirela’s expertise provides practical solutions and actionable takeaways.   Mirela Cialai Q&A Interview 1. How do you define the vision for a customer engagement platform roadmap in alignment with the broader business goals? Can you share any examples of successful visions from your experience? Defining the vision for the roadmap in alignment with the broader business goals involves creating a strategic framework that connects the team’s objectives with the organization’s overarching mission or primary objectives. This could be revenue growth, customer retention, market expansion, or operational efficiency. We then break down these goals into actionable areas where the team can contribute, such as improving engagement, increasing lifetime value, or driving acquisition. We articulate how the team will support business goals by defining the KPIs that link CRM outcomes — the team’s outcomes — to business goals. In a previous role, the CRM team I was leading faced significant challenges due to the lack of attribution capabilities and a reliance on surface-level metrics such as open rates and click-through rates to measure performance. This approach made it difficult to quantify the impact of our efforts on broader business objectives such as revenue growth. Recognizing this gap, I worked on defining a vision for the CRM team to address these shortcomings. Our vision was to drive measurable growth through enhanced data accuracy and improved attribution capabilities, which allowed us to deliver targeted, data-driven, and personalized customer experiences. To bring this vision to life, I developed a roadmap that focused on first improving data accuracy, building our attribution capabilities, and delivering personalization at scale. By aligning the vision with these strategic priorities, we were able to demonstrate the tangible impact of our efforts on the key business goals. 2. What steps did you take to ensure data accuracy? The data team was very diligent in ensuring that our data warehouse had accurate data. So taking that as the source of truth, we started cleaning the data in all the other platforms that were integrated with our data warehouse — our CRM platform, our attribution analytics platform, etc. That’s where we started, looking at all the different integrations and ensuring that the data flows were correct and that we had all the right flows in place. And also validating and cleaning our email database — that helped, having more accurate data. 3. How do you recommend shifting organizational focus from acquisition to retention within a customer engagement strategy? Shifting an organization’s focus from acquisition to retention requires a cultural and strategic shift, emphasizing the immense value that existing customers bring to long-term growth and profitability. I would start by quantifying the value of retention, showcasing how retaining customers is significantly more cost-effective than acquiring new ones. Research consistently shows that increasing retention rates by just 5% can boost profits by at least 25 to 95%. This data helps make a compelling case to stakeholders about the importance of prioritizing retention. Next, I would link retention to core business goals by demonstrating how enhancing customer lifetime value and loyalty can directly drive revenue growth. This involves shifting the organization’s focus to retention-specific metrics such as churn rate, repeat purchase rate, and customer LTV. These metrics provide actionable insights into customer behaviors and highlight the financial impact of retention initiatives, ensuring alignment with the broader company objectives. By framing retention as a driver of sustainable growth, the organization can see it not as a competing priority, but as a complementary strategy to acquisition, ultimately leading to a more balanced and effective customer engagement strategy. 4. What are the key steps in analyzing a brand’s current Martech stack capabilities to identify gaps and opportunities for improvement? Developing a clear understanding of the Martech stack’s current state and ensuring it aligns with a brand’s strategic needs and future goals requires a structured and strategic approach. The process begins with defining what success looks like in terms of technology capabilities such as scalability, integration, automation, and data accessibility, and linking these capabilities directly to the brand’s broader business objectives. I start by doing an inventory of all tools currently in use, including their purpose, owner, and key functionalities, assessing if these tools are being used to their full potential or if there are features that remain unused, and reviewing how well tools integrate with one another and with our core systems, the data warehouse. Also, comparing the capabilities of each tool and results against industry standards and competitor practices and looking for missing functionalities such as personalization, omnichannel orchestration, or advanced analytics, and identifying overlapping tools that could be consolidated to save costs and streamline workflows. Finally, review the costs of the current tools against their impact on business outcomes and identify technologies that could reduce costs, increase efficiency, or deliver higher ROI through enhanced capabilities. Establish a regular review cycle for the Martech stack to ensure it evolves alongside the business and the technological landscape. 5. How do you evaluate whether a company’s tech stack can support innovative customer-focused campaigns, and what red flags should marketers look out for? I recommend taking a structured approach and first ensure there is seamless integration across all tools to support a unified customer view and data sharing across the different channels. Determine if the stack can handle increasing data volumes, larger audiences, and additional channels as the campaigns grow, and check if it supports dynamic content, behavior-based triggers, and advanced segmentation and can process and act on data in real time through emerging technologies like AI/ML predictive analytics to enable marketers to launch responsive and timely campaigns. Most importantly, we need to ensure that the stack offers robust reporting tools that provide actionable insights, allowing teams to track performance and optimize campaigns. Some of the red flags are: data silos where customer data is fragmented across platforms and not easily accessible or integrated, inability to process or respond to customer behavior in real time, a reliance on manual intervention for tasks like segmentation, data extraction, campaign deployment, and poor scalability. If the stack struggles with growing data volumes or expanding to new channels, it won’t support the company’s evolving needs. 6. What role do hyper-personalization and timely communication play in a successful customer engagement strategy? How do you ensure they’re built into the technology roadmap? Hyper-personalization and timely communication are essential components of a successful customer engagement strategy because they create meaningful, relevant, and impactful experiences that deepen the relationship with customers, enhance loyalty, and drive business outcomes. Hyper-personalization leverages data to deliver tailored content that resonates with each individual based on their preferences, behavior, or past interactions, and timely communication ensures these personalized interactions occur at the most relevant moments, which ultimately increases their impact. Customers are more likely to engage with messages that feel relevant and align with their needs, and real-time triggers such as cart abandonment or post-purchase upsells capitalize on moments when customers are most likely to convert. By embedding these capabilities into the roadmap through data integration, AI-driven insights, automation, and continuous optimization, we can deliver impactful, relevant, and timely experiences that foster deeper customer relationships and drive long-term success. 7. What’s your approach to breaking down the customer engagement technology roadmap into manageable phases? How do you prioritize the initiatives? To create a manageable roadmap, we need to divide it into distinct phases, starting with building the foundation by addressing data cleanup, system integrations, and establishing metrics, which lays the groundwork for success. Next, we can focus on early wins and quick impact by launching behavior-based campaigns, automating workflows, and improving personalization to drive immediate value. Then we can move to optimization and expansion, incorporating predictive analytics, cross-channel orchestration, and refined attribution models to enhance our capabilities. Finally, prioritize innovation and scalability, leveraging AI/ML for hyper-personalization, scaling campaigns to new markets, and ensuring the system is equipped for future growth. By starting with foundational projects, delivering quick wins, and building towards scalable innovation, we can drive measurable outcomes while maintaining our agility to adapt to evolving needs. In terms of prioritizing initiatives effectively, I would focus on projects that deliver the greatest impact on business goals, on customer experience and ROI, while we consider feasibility, urgency, and resource availability. In the past, I’ve used frameworks like Impact Effort Matrix to identify the high-impact, low-effort initiatives and ensure that the most critical projects are addressed first. 8. How do you ensure cross-functional alignment around this roadmap? What processes have worked best for you? Ensuring cross-functional alignment requires clear communication, collaborative planning, and shared accountability. We need to establish a shared understanding of the roadmap’s purpose and how it ties to the company’s overall goals by clearly articulating the “why” behind the roadmap and how each team can contribute to its success. To foster buy-in and ensure the roadmap reflects diverse perspectives and needs, we need to involve all stakeholders early on during the roadmap development and clearly outline each team’s role in executing the roadmap to ensure accountability across the different teams. To keep teams informed and aligned, we use meetings such as roadmap kickoff sessions and regular check-ins to share updates, address challenges collaboratively, and celebrate milestones together. 9. If you were to outline a simple framework for marketers to follow when building a customer engagement technology roadmap, what would it look like? A simple framework for marketers to follow when building the roadmap can be summarized in five clear steps: Plan, Audit, Prioritize, Execute, and Refine. In one word: PAPER. Here’s how it breaks down. Plan: We lay the groundwork for the roadmap by defining the CRM strategy and aligning it with the business goals. Audit: We evaluate the current state of our CRM capabilities. We conduct a comprehensive assessment of our tools, our data, the processes, and team workflows to identify any potential gaps. Prioritize: initiatives based on impact, feasibility, and ROI potential. Execute: by implementing the roadmap in manageable phases. Refine: by continuously improving CRM performance and refining the roadmap. So the PAPER framework — Plan, Audit, Prioritize, Execute, and Refine — provides a structured, iterative approach allowing marketers to create a scalable and impactful customer engagement strategy. 10. What are the most common challenges marketers face in creating or executing a customer engagement strategy, and how can they address these effectively? The most critical is when the customer data is siloed across different tools and platforms, making it very difficult to get a unified view of the customer. This limits the ability to deliver personalized and consistent experiences. The solution is to invest in tools that can centralize data from all touchpoints and ensure seamless integration between different platforms to create a single source of truth. Another challenge is the lack of clear metrics and ROI measurement and the inability to connect engagement efforts to tangible business outcomes, making it very hard to justify investment or optimize strategies. The solution for that is to define clear KPIs at the outset and use attribution models to link customer interactions to revenue and other key outcomes. Overcoming internal silos is another challenge where there is misalignment between teams, which can lead to inconsistent messaging and delayed execution. A solution to this is to foster cross-functional collaboration through shared goals, regular communication, and joint planning sessions. Besides these, other challenges marketers can face are delivering personalization at scale, keeping up with changing customer expectations, resource and budget constraints, resistance to change, and others. While creating and executing a customer engagement strategy can be challenging, these obstacles can be addressed through strategic planning, leveraging the right tools, fostering collaboration, and staying adaptable to customer needs and industry trends. By tackling these challenges proactively, marketers can deliver impactful customer-centric strategies that drive long-term success. 11. What are the top takeaways or lessons that you’ve learned from building customer engagement technology roadmaps that others should keep in mind? I would say one of the most important takeaways is to ensure that the roadmap directly supports the company’s broader objectives. Whether the focus is on retention, customer lifetime value, or revenue growth, the roadmap must bridge the gap between high-level business goals and actionable initiatives. Another important lesson: The roadmap is only as effective as the data and systems it’s built upon. I’ve learned the importance of prioritizing foundational elements like data cleanup, integrations, and governance before tackling advanced initiatives like personalization or predictive analytics. Skipping this step can lead to inefficiencies or missed opportunities later on. A Customer Engagement Roadmap is a strategic tool that evolves alongside the business and its customers. So by aligning with business goals, building a solid foundation, focusing on impact, fostering collaboration, and remaining adaptable, you can create a roadmap that delivers measurable results and meaningful customer experiences.     This interview Q&A was hosted with Mirela Cialai, Director of CRM & MarTech at Equinox, for Chapter 7 of The Customer Engagement Book: Adapt or Die. Download the PDF or request a physical copy of the book here. The post Mirela Cialai Q&A: Customer Engagement Book Interview appeared first on MoEngage. #mirela #cialai #qampampa #customer #engagement

Germany and NVIDIA are building possibly the most ambitious European tech project of the decade: the continent’s first industrial AI cloud.NVIDIA has been on a European tour over the past month with CEO Jensen Huang charming audiences at London Tech Week before dazzling the crowds at Paris’s VivaTech. But it was his meeting with German Chancellor Friedrich Merz that might prove the most consequential stop.The resulting partnership between NVIDIA and Deutsche Telekom isn’t just another corporate handshake; it’s potentially a turning point for European technological sovereignty.An “AI factory”will be created with a focus on manufacturing, which is hardly surprising given Germany’s renowned industrial heritage. The facility aims to give European industrial players the computational firepower to revolutionise everything from design to robotics.“In the era of AI, every manufacturer needs two factories: one for making things, and one for creating the intelligence that powers them,” said Huang. “By building Europe’s first industrial AI infrastructure, we’re enabling the region’s leading industrial companies to advance simulation-first, AI-driven manufacturing.”It’s rare to hear such urgency from a telecoms CEO, but Deutsche Telekom’s Timotheus Höttges added: “Europe’s technological future needs a sprint, not a stroll. We must seize the opportunities of artificial intelligence now, revolutionise our industry, and secure a leading position in the global technology competition. Our economic success depends on quick decisions and collaborative innovations.”The first phase alone will deploy 10,000 NVIDIA Blackwell GPUs spread across various high-performance systems. That makes this Germany’s largest AI deployment ever; a statement the country isn’t content to watch from the sidelines as AI transforms global industry.A Deloitte study recently highlighted the critical importance of AI technology development to Germany’s future competitiveness, particularly noting the need for expanded data centre capacity. When you consider that demand is expected to triple within just five years, this investment seems less like ambition and more like necessity.Robots teaching robotsOne of the early adopters is NEURA Robotics, a German firm that specialises in cognitive robotics. They’re using this computational muscle to power something called the Neuraverse which is essentially a connected network where robots can learn from each other.Think of it as a robotic hive mind for skills ranging from precision welding to household ironing, with each machine contributing its learnings to a collective intelligence.“Physical AI is the electricity of the future—it will power every machine on the planet,” said David Reger, Founder and CEO of NEURA Robotics. “Through this initiative, we’re helping build the sovereign infrastructure Europe needs to lead in intelligent robotics and stay in control of its future.”The implications of this AI project for manufacturing in Germany could be profound. This isn’t just about making existing factories slightly more efficient; it’s about reimagining what manufacturing can be in an age of intelligent machines.AI for more than just Germany’s industrial titansWhat’s particularly promising about this project is its potential reach beyond Germany’s industrial titans. The famed Mittelstand – the network of specialised small and medium-sized businesses that forms the backbone of the German economy – stands to benefit.These companies often lack the resources to build their own AI infrastructure but possess the specialised knowledge that makes them perfect candidates for AI-enhanced innovation. Democratising access to cutting-edge AI could help preserve their competitive edge in a challenging global market.Academic and research institutions will also gain access, potentially accelerating innovation across numerous fields. The approximately 900 Germany-based startups in NVIDIA’s Inception program will be eligible to use these resources, potentially unleashing a wave of entrepreneurial AI applications.However impressive this massive project is, it’s viewed merely as a stepping stone towards something even more ambitious: Europe’s AI gigafactory. This planned 100,000 GPU-powered initiative backed by the EU and Germany won’t come online until 2027, but it represents Europe’s determination to carve out its own technological future.As other European telecom providers follow suit with their own AI infrastructure projects, we may be witnessing the beginning of a concerted effort to establish technological sovereignty across the continent.For a region that has often found itself caught between American tech dominance and Chinese ambitions, building indigenous AI capability represents more than economic opportunity. Whether this bold project in Germany will succeed remains to be seen, but one thing is clear: Europe is no longer content to be a passive consumer of AI technology developed elsewhere.Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here. #nvidia #helps #germany #lead #europes