Ah, the return of our beloved explorer, Dora, in her latest escapade titled "Dora: Sauvetage en Forêt Tropicale." Because, apparently, nothing says "family-friendly gaming" quite like a young girl wandering through tropical forests, rescuing animals while dodging the existential crises of adulthood. Who needs therapy when you have a backpack and a map? Let’s take a moment to appreciate the sheer brilliance of this revival. Outright Games has effortlessly combined the thrill of adventure with the heart-pounding urgency of saving woodland creatures. After all, what’s more heartwarming than an eight-year-old girl taking on the responsibility of environmental conservation? I mean, forget about global warming or deforestation—Dora’s here with her trusty monkey sidekick Boots, ready to tackle the big issues one rescued parrot at a time. And let’s not overlook the gameplay mechanics! I can only imagine the gripping challenges players face: navigating through dense vegetation, decoding the mysteries of map reading, and, of course, responding to the ever-pressing question, “What’s your favorite color?” Talk about raising the stakes. Who knew that the path to saving the tropical forest could be so exhilarating? It’s like combining Indiana Jones with a kindergarten art class. Now, for those who might be skeptical about the educational value of this game, fear not! Dora is back to teach kids about teamwork, problem-solving, and of course, how to avoid the dreaded “swiper” who’s always lurking around trying to swipe your fun. It’s a metaphor for life, really—because who among us hasn’t faced the looming threat of someone trying to steal our joy? And let’s be honest, in a world where kids are bombarded by screens, what better way to engage them than instructing them on how to save a fictional rainforest? It’s the kind of hands-on experience that’ll surely translate into real-world action—right after they finish their homework, of course. Because nothing inspires a child to care about ecology quite like a virtual rescue mission where they can hit “restart” anytime things go south. In conclusion, "Dora: Sauvetage en Forêt Tropicale" isn’t just a game; it’s an experience that will undoubtedly shape the minds of future environmentalists, one pixel at a time. So gear up, parents! Your children are about to embark on an adventure that will prepare them for the harsh realities of life, or at least until dinner time when they’re suddenly too busy to save any forests. #DoraTheExplorer #FamilyGaming #TropicalAdventure #EcoFriendlyFun #GamingForKids

Minecraft, le film! Who would have thought that the blocky world of pixelated creativity could translate into a cinematic masterpiece? Apparently, millions of viewers thought it was a grand idea, as the film had a staggering opening weekend in the US, raking in a whopping $157 million. Yes, you read that right - more than the Super Mario Bros movie. Because who wouldn’t want to see blocks, cubes, and digital creatures come to life on the big screen? Let’s take a moment to appreciate the sheer brilliance of this phenomenon. Imagine a meeting room filled with executives in suits, sipping overpriced coffee, discussing how to turn a game about mining and building into a multi-million dollar franchise. “What if we add a plot?” one visionary must have suggested. “And maybe some actual characters!” shouted another. Brilliant! Because nothing screams box office hit like a narrative about crafting and survival – the quintessential human experience, am I right? And while we’re at it, let’s not overlook the glorious irony of a massive online leak. One might think that a film like Minecraft, which is all about building and creating, would have safeguards against such breaches. Yet here we are, in a world where fans are more adept at finding leaks than creepers are at sneaking up on unsuspecting players. It’s as if the universe itself is saying, “Why wait for the official release when you can embrace the chaos of the internet?” Moreover, the film’s success raises an important question: is this the pinnacle of creativity, or just a sign that Hollywood has officially run out of ideas? After all, why bother developing original content when you can simply mine from the vast experiences of gamers? There’s a certain elegance to recycling beloved franchises; the nostalgia factor alone is worth millions. Let’s just hope that the next film adaptation is as riveting as watching a character gather resources for five hours straight. And speaking of adaptations, let’s give a nod to the directors and writers who managed to transform a game with virtually no plot into a cinematic sensation. If these individuals can take pixelated blocks and turn them into a story that captures the hearts of millions, perhaps we should hand them the keys to the next great literary classic. Who wouldn't want to see a film based on the riveting tale of a potato? In conclusion, Minecraft, le film is a remarkable testament to the state of modern cinema. It embodies the essence of our times: a blend of nostalgia, creativity, and a hint of desperation. So, grab your popcorn and enjoy the show, folks! Who knows what other game adaptations await us? Maybe Tetris will be next! #MinecraftMovie #HollywoodAdaptations #BlockbusterSuccess #CinemaIrony #NostalgiaInFilm

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

Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success.The sobering statistics behind AI’s promiseModelOp’s 2025 AI Governance Benchmark Report, based on input from 100 senior AI and data leaders at Fortune 500 enterprises, reveals a disconnect between aspiration and execution.While more than 80% of enterprises have 51 or more generative AI projects in proposal phases, only 18% have successfully deployed more than 20 models into production.The execution gap represents one of the most significant challenges facing enterprise AI today. Most generative AI projects still require 6 to 18 months to go live – if they reach production at all.The result is delayed returns on investment, frustrated stakeholders, and diminished confidence in AI initiatives in the enterprise.The cause: Structural, not technical barriersThe biggest obstacles preventing AI scalability aren’t technical limitations – they’re structural inefficiencies plaguing enterprise operations. The ModelOp benchmark report identifies several problems that create what experts call a “time-to-market quagmire.”Fragmented systems plague implementation. 58% of organisations cite fragmented systems as the top obstacle to adopting governance platforms. Fragmentation creates silos where different departments use incompatible tools and processes, making it nearly impossible to maintain consistent oversight in AI initiatives.Manual processes dominate despite digital transformation. 55% of enterprises still rely on manual processes – including spreadsheets and email – to manage AI use case intake. The reliance on antiquated methods creates bottlenecks, increases the likelihood of errors, and makes it difficult to scale AI operations.Lack of standardisation hampers progress. Only 23% of organisations implement standardised intake, development, and model management processes. Without these elements, each AI project becomes a unique challenge requiring custom solutions and extensive coordination by multiple teams.Enterprise-level oversight remains rare Just 14% of companies perform AI assurance at the enterprise level, increasing the risk of duplicated efforts and inconsistent oversight. The lack of centralised governance means organisations often discover they’re solving the same problems multiple times in different departments.The governance revolution: From obstacle to acceleratorA change is taking place in how enterprises view AI governance. Rather than seeing it as a compliance burden that slows innovation, forward-thinking organisations recognise governance as an important enabler of scale and speed.Leadership alignment signals strategic shift. The ModelOp benchmark data reveals a change in organisational structure: 46% of companies now assign accountability for AI governance to a Chief Innovation Officer – more than four times the number who place accountability under Legal or Compliance. This strategic repositioning reflects a new understanding that governance isn’t solely about risk management, but can enable innovation.Investment follows strategic priority. A financial commitment to AI governance underscores its importance. According to the report, 36% of enterprises have budgeted at least million annually for AI governance software, while 54% have allocated resources specifically for AI Portfolio Intelligence to track value and ROI.What high-performing organisations do differentlyThe enterprises that successfully bridge the ‘execution gap’ share several characteristics in their approach to AI implementation:Standardised processes from day one. Leading organisations implement standardised intake, development, and model review processes in AI initiatives. Consistency eliminates the need to reinvent workflows for each project and ensures that all stakeholders understand their responsibilities.Centralised documentation and inventory. Rather than allowing AI assets to proliferate in disconnected systems, successful enterprises maintain centralised inventories that provide visibility into every model’s status, performance, and compliance posture.Automated governance checkpoints. High-performing organisations embed automated governance checkpoints throughout the AI lifecycle, helping ensure compliance requirements and risk assessments are addressed systematically rather than as afterthoughts.End-to-end traceability. Leading enterprises maintain complete traceability of their AI models, including data sources, training methods, validation results, and performance metrics.Measurable impact of structured governanceThe benefits of implementing comprehensive AI governance extend beyond compliance. Organisations that adopt lifecycle automation platforms reportedly see dramatic improvements in operational efficiency and business outcomes.A financial services firm profiled in the ModelOp report experienced a halving of time to production and an 80% reduction in issue resolution time after implementing automated governance processes. Such improvements translate directly into faster time-to-value and increased confidence among business stakeholders.Enterprises with robust governance frameworks report the ability to many times more models simultaneously while maintaining oversight and control. This scalability lets organisations pursue AI initiatives in multiple business units without overwhelming their operational capabilities.The path forward: From stuck to scaledThe message from industry leaders that the gap between AI ambition and execution is solvable, but it requires a shift in approach. Rather than treating governance as a necessary evil, enterprises should realise it enables AI innovation at scale.Immediate action items for AI leadersOrganisations looking to escape the ‘time-to-market quagmire’ should prioritise the following:Audit current state: Conduct an assessment of existing AI initiatives, identifying fragmented processes and manual bottlenecksStandardise workflows: Implement consistent processes for AI use case intake, development, and deployment in all business unitsInvest in integration: Deploy platforms to unify disparate tools and systems under a single governance frameworkEstablish enterprise oversight: Create centralised visibility into all AI initiatives with real-time monitoring and reporting abilitiesThe competitive advantage of getting it rightOrganisations that can solve the execution challenge will be able to bring AI solutions to market faster, scale more efficiently, and maintain the trust of stakeholders and regulators.Enterprises that continue with fragmented processes and manual workflows will find themselves disadvantaged compared to their more organised competitors. Operational excellence isn’t about efficiency but survival.The data shows enterprise AI investment will continue to grow. Therefore, the question isn’t whether organisations will invest in AI, but whether they’ll develop the operational abilities necessary to realise return on investment. The opportunity to lead in the AI-driven economy has never been greater for those willing to embrace governance as an enabler not an obstacle. #execution #gap #why #projects #dont

News Science & Society A common parenting practice may be hindering teen development Teens need independence on vacation, but many don't get it Parents are reluctant to let teens go off alone during vacation, according to a new poll. But experts say teens need independence. Cavan Images/Getty Images By Sujata Gupta 2 hours ago Vacation season is upon us. But that doesn’t necessarily translate to teens roaming free. A new poll finds that less than half of U.S. parents feel comfortable leaving their teenager alone in a hotel room while they grab breakfast. Fewer than a third would let their teen walk alone to a coffee shop. And only 1 in 5 would be okay with their teen wandering solo around an amusement park. Those results, released June 16, are troubling, says Sarah Clark, a public health expert and codirector of the C.S. Mott Children’s Hospital National Poll on Children’s Health, which conducted the survey. Teenagers, she says, need the freedom to develop the confidence that they can navigate the world on their own. Sign up for our newsletter We summarize the week's scientific breakthroughs every Thursday. #common #parenting #practice #hindering #teen

Apple’s Worldwide Developers Conference 2025 saw a range of announcements that offered a glimpse into the future of Apple’s software design and artificial intelligencestrategy, highlighted by a new design language called  Liquid Glass and by Apple Intelligence news. Liquid Glass is designed to add translucency and dynamic movement to Apple’s user interface across iPhones, iPads, Macs, Apple Watches, and Apple TVs. The overhaul aims to make interactions with elements like buttons and sidebars adapt contextually. However, the real news of WWDC could be what we didn’t see.  Analysts had high expectations for Apple’s AI strategy, and while Apple Intelligence was talked about, many market watchers reported that it lacked the innovation that have come from Google’s and Microsoft’s generative AIrollouts. The question of whether Apple is playing catch-up lingered at WWDC 2025, and comments from Apple execs about delays to a significant AI overhaul for Siri were apparently interpreted as a setback by investors, leading to a negative reaction and drop in stock price. Follow this page for Computerworld‘s coverage of WWDC25. WWDC25 news and analysis Apple’s AI Revolution: Insights from WWDC June 13, 2025: At Apple’s big developer event, developers were served a feast of AI-related updates, including APIs that let them use Apple Intelligence in their apps and ChatGPT-augmentation from within Xcode. As a development environment, Apple has secured its future, with Macs forming the most computationally performant systems you can affordably purchase for the job. For developers, Apple’s tools get a lot better for AI June 12, 2025: Apple announced one important AI update at WWDC this week, the introduction of support for third-party large language models such as ChatGPT from within Xcode. It’s a big step that should benefit developers, accelerating app development. WWDC 25: What’s new for Apple and the enterprise? June 11, 2025: Beyond its new Liquid Glass UI and other major improvements across its operating systems, Apple introduced a hoard of changes, tweaks, and enhancements for IT admins at WWDC 2025. What we know so far about Apple’s Liquid Glass UI June 10, 2025: What Apple has tried to achieve with Liquid Glass is to bring together the optical quality of glass and the fluidity of liquid to emphasize transparency and lighting when using your devices.  WWDC first look: How Apple is improving its ecosystem June 9, 2025: While the new user interface design Apple execs highlighted at this year’s Worldwide Developers Conferencemight have been a bit of an eye-candy distraction, Apple’s enterprise users were not forgotten. Apple infuses AI into the Vision Pro June 8, 2025: Sluggish sales of Apple’s Vision Pro mixed reality headset haven’t dampened the company’s enthusiasm for advancing the device’s 3D computing experience, which now incorporates AI to deliver richer context and experiences. WWDC: Apple is about to unlock international business June 4, 2025: One of the more exciting pre-WWDC rumors is that Apple is preparing to make language problems go away by implementing focused artificial intelligence in Messages, which will apparently be able to translate incoming and outgoing messages on the fly.  #apple #wwdc #news #analysis

Investment scams aren't anything new: Bad actors have long used pump-and-dump tactics to hype stocks or cryptocurrencies, preying on emotions like fear and greed. And who wouldn't want big—or even steady—returns on their money, especially amidst tariffs and other economic turmoil? Scammers are currently capitalizing on this with fraudulent Facebook ads to lure users into handing over large sums of money. Here's how to spot these schemes and avoid falling victim. Investment scams on Meta platformsAccording to a group of 42 state attorneys general, the current fraudulent investment campaigns also happen to have elements of impersonation scams. The scheme begins with ads on Facebook that feature prominent investors, including ARK Investment Management's Cathie Wood, CNBC's Joe Kernan, and Fundstrat's Tom Lee, along with other wealthy individuals like Warren Buffet and Elon Musk. If you click the ad, you'll be prompted to download or open WhatsApp to join an investment group. This is where the pump-and-dump kicks off. "Experts" in the group advise members to purchase specific stocks, inflating the price, which they in turn sell and profit from. The AG letter to Meta detailing the scam includes reports of individuals losing anywhere from to or more after clicking on a fraudulent ad on Facebook. Other investment scams originating on Facebook involve cyber criminals harvesting sensitive personal information via fraudulent investing platforms. Investment scam red flags to watch forFor many people, it seems obvious that you shouldn't get your investment advice from a Facebook ad or WhatsApp group. But fear and greed are powerful emotions, and scammers are counting on these social engineering tactics working at least some of the time. That's why you should be wary of any advice that promises an unrealistic rate of return in a short period of time with no risk of loss as well as endorsements from celebrities, political figures, and well-known investors. It's also just good practice not to click ads on Facebook, which are easy vectors for spreading scams and malware. Another sign of a scam is content or communication that appears to be generated by AI. After joining a WhatsApp group, an investigator from the New York Office of the Attorney General was called by a scammer who used AI to translate her speech into English. Unfortunately, emotions can cloud our ability to identify AI-generated content if we want to believe what we're seeing. #those #investment #ads #facebook #are

Reading Time: 6 minutes What is marketing without data? Assumptions. Guesses. Fluff. For Chapter 6 of our book, “The Customer Engagement Book: Adapt or Die,” we spoke with Alec Haase, Product GTM Lead, Commerce and AI at Hightouch, to explore how engagement data can truly inform critical business decisions.  Alec discusses the different types of customer behaviors that matter most, how to separate meaningful information from the rest, and the role of systems that learn over time to create tailored customer experiences. This interview provides insights into using data for real-time actions and shaping the future of marketing. Prepare to learn about AI decision-making and how a focus on data is changing how we engage with customers.   Alec Haase Q&A Interview 1. What types of customer engagement data are most valuable for making strategic business decisions? It’s a culmination of everything. Behavioral signals — the actual conversions and micro-conversions that users take within your product or website. Obviously, that’s things like purchases. But there are also other behavioral signals marketers should be using and thinking about. Things like micro-conversions — maybe that’s shopping for a product, clicking to learn more about a product, or visiting a certain page on your website. Behind that, you also need to have all your user data to tie that to. So I know someone took said action; I can follow up with them in email or out on paid social. I need the user identifiers to do that. 2. How do you distinguish between data that is actionable versus data that is just noise? Data that’s actionable includes the conversions and micro-conversions — very clear instances of “someone did this.” I can react to or measure those. What’s becoming a bit of a challenge for marketers is understanding that there’s other data that is valuable for machine learning or reinforcement learning models, things like tags on the types of products customers are interacting with. Maybe there’s category information about that product, or color information. That would otherwise look like noise to the average marketer. But behind the scenes, it can be used for reinforcement learning. There is definitely the “clear-cut” actionable data, but marketers shouldn’t be quick to classify things as noise because the rise in machine learning and reinforcement learning will make that data more valuable. 3. How can customer engagement data be used to identify and prioritize new business opportunities? At Hightouch, we don’t necessarily think about retroactive analysis. We have a system where we have customer engagement data firing in that we then have real-time scores reacting to. An interesting example is when you have machine learning and reinforcement learning models running. In the pet retailer example I gave you, the system is able to figure out what to prioritize. The concept of reinforcement learning is not a marketer making rules to say, “I know this type of thing works well on this type of audience.” It’s the machine itself using the data to determine what attribute responds well to which offer, recommendation, or marketing campaign. 4. How can marketers ensure their use of customer engagement data aligns with the broader business objectives? It starts with the objectives. It’s starting with the desired outcome and working your way back. That whole flip of the paradigm is starting with outcomes and letting the system optimize. What are you trying to drive, and then back into the types of experiences that can make that happen? There’s personalization. When we talk about data-driven experiences and personalization, Spotify Wrapped is the North Star. For Spotify Wrapped, you want to drive customer stickiness and create a brand. To make that happen, you want to send a personalized email. What components do you want in that email? Maybe it’s top five songs, top five artists, and then you can back into the actual event data you need to make that happen. 5. What role does engagement data play in influencing cross-functional decisions such as those in product development, sales, or customer service? For product development, it’s product analytics — knowing what features users are using, or seeing in heat maps where users are clicking. Sales is similar. We’re using behavioral signals like what types of content they’re reading on the site to help inform what they would be interested in — the types of products or the types of use cases. For customer service, you can look at errors they’ve run into in the past or specific purchases they’ve made, so that when you’re helping them the next time they engage with you, you know exactly what their past behaviors were and what products they could be calling about. 6. What are some challenges marketers face when trying to translate customer engagement data into actionable insights? Access to data is one challenge. You might not know what data you have because marketers historically may not have been used to the systems where data is stored. Historically, that’s been pretty siloed away from them. Rich behavioral data and other data across the business was stored somewhere else. Now, as more companies embrace the data warehouse at the center of their business, it gives everyone a true single place where data can be stored. Marketers are working more with data teams, understanding more about the data they have, and using that data to power downstream use cases, personalization, reinforcement learning, or general business insights. 7. How do you address skepticism or resistance from stakeholders when presenting data-driven recommendations? As a marketer, I think proof is key. The best thing is if you’ve actually run a test. “I think we should do this. I ran a small test, and it’s showing that this is actually proving out.” Being able to clearly explain and justify your reasoning with data is super important. 8. What technology or tools have you found most effective for gathering and analyzing customer engagement data? Any type of behavioral event collection, specifically ones that write to the cloud data warehouse, is the critical component. Your data team is operating off the data warehouse. Having an event collection product that stores data in that central spot is really important if you want to use the other data when making recommendations. You want to get everything into the data warehouse where it can be used both for insights and for putting into action. For Spotify Wrapped, you want to collect behavioral event signals like songs listened to or concerts attended, writing to the warehouse so that you can get insights back — how many songs were played this year, projections for next month — but then you can also use those behavioral events in downstream platforms to fire off personalized emails with product recommendations or Spotify Wrapped-style experiences. 9. How do you see the role of customer engagement data evolving in shaping business strategies over the next five years? What we’re excited about is the concept of AI Decisioning — having AI agents actually using customer data to train their own models and decision-making to create personalized experiences. We’re sitting on top of all this behavioral data, engagement data, and user attributes, and our system is learning from all of that to make the best decisions across downstream systems. Whether that’s as simple as driving a loyalty program and figuring out what emails to send or what on-site experiences to show, or exposing insights that might lead you to completely change your business strategy, we see engagement data as the fuel to the engine of reinforcement learning, machine learning, AI agents, this whole next wave of Martech that’s just now coming. But it all starts with having the data to train those systems. I think that behavioral data is the fuel of modern Martech, and that only holds more true as Martech platforms adopt these decisioning and AI capabilities, because they’re only as good as the data that’s training the models.     This interview Q&A was hosted with Alec Haase, Product GTM Lead, Commerce and AI at Hightouch, 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 Alec Haase Q&A: Customer Engagement Book Interview appeared first on MoEngage. #alec #haase #qampampa #customer #engagement

This article was originally published on GameDevDigest.comEnjoy!What was Radiant AI, anyway? - A ridiculously deep dive into Oblivion's controversial AI system and its legacyblog.paavo.meConsider The Horse Game - No I don’t think every dev should make a horse game. But I do think every developer should at least look at them, maybe even play one because, it is very important that you understand the importance of genre, fandom, and how visibility works. Even if you are not making a horse game, the lessons you can learn by looking at this sub genre are very similar to other genres, just not as blatantly clear as they are with horse games.howtomarketagame.comMaking a killing: The playful 2D terror of Psycasso® - I sat down with lead developer Benjamin Lavender and Omni, designer and producer, to talk about this playfully gory game that gives a classic retro style and a freshtwist.UnityIntroduction to Asset Manager transfer methods in Unity - Unity's Asset Manager is a user-friendly digital asset management platform supporting over 70 file formats to help teams centralize, organize, discover, and use assets seamlessly across projects. It reduces redundant work by design, making cross-team collaboration smoother and accelerating production workflows.UnityVideosRules of the Game: Five Tricks of Highly Effective Designers - Every working designer has them: unique techniques or "tricks" that they use when crafting gameplay. Sure, there's the general game design wisdom that everyone agrees on and can be found in many a game design book, but experienced game designers often have very specific rules that are personal to them, techniques that not everyone knows about or even agrees with. In this GDC 2015 session, five experienced game designers join the stage for 10 minutes each to share one game design "trick" that they use.Game Developers ConferenceBinding of Isaac Style Room Generator in Unity- Our third part in the series - making the rooms!Game Dev GarnetIntroduction to Unity Behavior | Unity Tutorial - In this video you'll become familiar with the core concepts of Unity Behavior, including a live example.LlamAcademyHow I got my demo ready for Steam Next Fest - It's Steam Next Fest, and I've got a game in the showcase. So here are 7 tips for making the most of this demo sharing festival.Game Maker's ToolkitOptimizing lighting in Projekt Z: Beyond Order - 314 Arts studio lead and founder Justin Miersch discuss how the team used the Screen Space Global Illumination feature in Unity’s High Definition Render Pipeline, along with the Unity Profiler and Timeline to overcome the lighting challenges they faced in building Projekt Z: Beyond Order.UnityMemory Arenas in Unity: Heap Allocation Without the GC - In this video, we explore how to build a custom memory arena in Unity using unsafe code and manual heap allocation. You’ll learn how to allocate raw memory for temporary graph-like structures—such as crafting trees or decision planners—without triggering the garbage collector. We’ll walk through the concept of stack frames, translate that to heap-based arena allocation, and implement a fast, disposable system that gives you full control over memory layout and lifetime. Perfect for performance-critical systems where GC spikes aren’t acceptable.git-amendCloth Animation Using The Compute Shader - In this video, we dive into cloth simulation using OpenGL compute shaders. By applying simple mathematical equations, we’ll achieve smooth, dynamic movement. We'll explore particle-based simulation, tackle synchronization challenges with double buffering, and optimize rendering using triangle strips for efficient memory usage. Whether you're familiar with compute shaders or just getting started, this is the perfect way to step up your real-time graphics skills!OGLDEVHow we're designing games for a broader audience - Our games are too hardBiteMe GamesAssetsLearn Game Dev - Unity, Godot, Unreal, Gamemaker, Blender & C# - Make games like a pro.Passionate about video games? Then start making your own! Our latest bundle will help you learn vital game development skills. 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8 Sage Green Color Palettes You’ve Got to Experience In this article:See more ▼Post may contain affiliate links which give us commissions at no cost to you.There’s something undeniably calming about sage green that makes it one of my absolute favorite colors to work with as a designer. This muted, earthy hue has this incredible ability to ground a space while still feeling fresh and contemporary. Whether you’re working on a branding project, designing an interior space, or creating digital content, sage green offers a versatility that few colors can match. What I love most about sage green is how it bridges the gap between trendy and timeless. It’s not going anywhere anytime soon, and honestly, I don’t think it ever should. This sophisticated color has been quietly revolutionizing design palettes across every industry, and today I’m excited to share eight of my favorite sage green color combinations that will elevate your next project. 👋 Psst... Did you know you can get unlimited downloads of 59,000+ fonts and millions of other creative assets for just /mo? Learn more »The 8 Most Inspiring Sage Green Color Palettes 1. Garden Fresh #D2E5C4 #B2C69E #95B07B #79955D #5A743C Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper This monochromatic sage palette is pure perfection for anyone wanting to create depth without complexity. I use this combination constantly in botanical-themed projects because it captures every shade of green you’d find in a thriving garden. The progression from light to dark creates natural hierarchy, making it incredibly functional for both print and digital work. 2. Misty Morning #BDC9BB #ACBAA1 #B2C1A2 #A4B1A0 #ADC3B7 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper When I need something soft and ethereal, this is my go-to palette. These gentle sage tones remind me of early morning fog rolling over hills. It’s perfect for wellness brands, spa environments, or any project that needs to evoke tranquility and peace. The subtle variations create interest without ever feeling overwhelming. 3. Harvest Moon #9AAB89 #647056 #D6C388 #F8C565 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper Get 300+ Fonts for FREEEnter your email to download our 100% free "Font Lover's Bundle". For commercial & personal use. No royalties. No fees. No attribution. 100% free to use anywhere. The combination of sage green with warm golds creates magic every single time. This palette captures that perfect autumn moment when the light hits everything just right. I love using this for brands that want to feel both grounded and optimistic – it’s earthy sophistication with a sunny disposition. 4. Moody Botanical #4D5D42 #6A894B #8DA67E #9B999A #C6B5DF Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper For projects that need a bit more drama, this palette delivers beautifully. The deeper sage tones paired with that unexpected lavender create intrigue without losing the calming essence of green. I find this combination works wonderfully for upscale restaurants or luxury lifestyle brands that want to feel approachable yet refined. 5. Countryside Charm #A3AC9A #8A9A5B #93A395 #748B74 #827D67 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper This palette feels like a walk through the English countryside – all rolling hills and weathered stone walls. The mix of sage greens with those earthy undertones creates incredible depth. I use this combination for projects that need to feel established and trustworthy, like financial services or heritage brands. 6. Industrial Farmhouse Zen #CED3D2 #3F5054 #6F675E #9CAB86 #C8CAB5 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper The marriage of sage green with industrial grays might seem unexpected, but it creates this incredibly sophisticated modern aesthetic. This palette is perfect for tech companies or architectural firms that want to feel innovative yet grounded. The sage adds warmth to what could otherwise be cold, sterile colors. 7. Desert Sage #9AAB89 #B2AC88 #A06464 #8C909C #C9AD99 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper Inspired by the American Southwest, this palette combines sage with dusty terra cottas and warm beiges. There’s something so comforting about these colors together – they feel like sunset in the desert. I love using this for hospitality brands or any project that wants to evoke adventure and warmth. 8. Forest Floor #B2C69E #ACB6A6 #5B7553 #745000 #462800 Download this color palette 735×1102 Pinterest image 2160×3840 Vertical wallpaper 900×900 Square 3840×2160 4K Wallpaper This rich, earthy combination takes sage green into deeper territory with those gorgeous chocolate browns. It reminds me of walking through an old-growth forest where the light filters through layers of leaves. Perfect for organic brands, outdoor companies, or any project that wants to feel authentic and connected to nature. Why Sage Green Is Having Its Moment As someone who’s been watching color trends for years, I can tell you that sage green’s popularity isn’t just a passing fad. This color speaks to our collective desire for calm in an increasingly chaotic world. It’s the visual equivalent of taking a deep breath – immediately soothing and centering. The rise of biophilic design has also played a huge role in sage green’s dominance. As we spend more time indoors, we’re craving those connections to nature, and sage green delivers that botanical feeling without being overly literal. It’s nature-inspired design at its most sophisticated. What makes sage green particularly special is its incredible adaptability. Unlike brighter greens that can feel overwhelming or dated, sage green has this chameleon-like quality that allows it to work in virtually any context. Pair it with warm woods and it feels rustic; combine it with metallics and it becomes luxurious; add some crisp whites and suddenly it’s Scandinavian minimalism. Mastering Sage Green in Your Design Work The key to working with sage green successfully is understanding its undertones. Some sage greens lean more yellow, others more blue or gray. Recognizing these subtle differences will help you create more cohesive palettes and avoid color clashes that can make your work feel off. I always recommend testing your sage green palettes in different lighting conditions. What looks perfect on your computer screen might feel completely different in natural light or under warm artificial lighting. This is especially crucial for interior design projects or any work that will be viewed in physical spaces. When building palettes around sage green, I like to think about the mood I’m trying to create. For calm, peaceful vibes, I’ll pair it with other muted tones and plenty of white space. For something more energetic, I might add unexpected pops of coral or sunny yellow. The beauty of sage green is that it’s such a diplomatic color – it plays well with almost everything. Sage Green Across Different Design Applications Branding and Logo Design In branding work, sage green communicates reliability, growth, and environmental consciousness without hitting people over the head with it. I love using it for wellness companies, sustainable brands, and professional services that want to feel approachable. The key is pairing it with typography that reinforces your brand personality – clean sans serifs for modern feels, or elegant serifs for more traditional approaches. Interior Spaces Sage green walls have become incredibly popular, and for good reason. The color creates an instant sense of calm while still feeling current. I particularly love using darker sage greens in dining rooms or bedrooms where you want that cozy, enveloping feeling. Lighter sages work beautifully in kitchens and bathrooms where you want freshness without the sterility of pure white. Digital Design For websites and apps, sage green offers a refreshing alternative to the blues and grays that dominate digital design. It’s easy on the eyes, which makes it perfect for apps focused on wellness, meditation, or any platform where users will spend extended time. Just be mindful of accessibility – always test your sage green backgrounds with various text colors to ensure proper contrast ratios. Product Design The natural, organic feeling of sage green makes it perfect for product packaging, especially in the beauty, food, and wellness sectors. It communicates quality and naturalness without feeling overly earthy or crunchy. I’ve seen it work beautifully on everything from skincare packaging to high-end kitchen appliances. The Psychology Behind Sage Green’s Appeal Color psychology tells us that green represents growth, harmony, and balance – all things we desperately need in our modern lives. But sage green takes these positive associations and adds sophistication. It’s green without the intensity, nature without the rawness. There’s also something inherently honest about sage green. It doesn’t try too hard or demand attention the way brighter colors do. This authenticity resonates with consumers who are increasingly skeptical of brands that feel forced or overly polished. Sage green whispers where other colors shout, and sometimes that’s exactly what your message needs. Looking Forward: Sage Green’s Staying Power While I can’t predict the future, I’m confident that sage green will remain relevant for years to come. It hits all the right notes for contemporary design – it’s calming without being boring, natural without being literal, and sophisticated without being pretentious. The color also photographs beautifully, which matters more than ever in our Instagram-driven world. Whether it’s a sage green accent wall or a product shot featuring sage packaging, this color translates perfectly to social media, helping brands create that coveted “aesthetic” that drives engagement. As we continue to prioritize wellness and sustainability in design, sage green offers the perfect visual shorthand for these values. It’s a color that makes people feel good, and in a world that often doesn’t, that’s incredibly powerful. Bringing It All Together These eight sage green palettes represent just the beginning of what’s possible with this incredible color. Whether you’re drawn to the monochromatic serenity of Garden Fresh or the unexpected sophistication of Industrial Zen, there’s a sage green palette that can elevate your next project. The secret to success with sage green is trusting its natural elegance. Don’t feel like you need to overstyling or complicate things – sage green’s beauty lies in its understated sophistication. Let it be the calm, confident foundation that allows other elements of your design to shine. So go ahead and embrace the sage green revolution. Your designswill thank you for it. After all, in a world full of visual noise, sometimes the most powerful statement you can make is a quiet one. Riley Morgan Riley Morgan is a globe-trotting graphic designer with a sharp eye for color, typography, and intuitive design. They are a color lover and blend creativity with culture, drawing inspiration from cities, landscapes, and stories around the world. When they’re not designing sleek visuals for clients, they’re blogging about trends, tools, and the art of making design feel like home—wherever that may be. 8 Stunning Sunset Color PalettesThere’s something absolutely magical about watching the sun dip below the horizon, painting the sky in breathtaking hues that seem...10 Warm Color Palettes That’ll Brighten Your DayThere’s nothing quite like the embracing quality of warm colors to make a design feel inviting and alive. As someone...10 Luxurious Jewel Tone Color PalettesAs a designer who’s always searching for color combinations that exude sophistication and richness, I find myself constantly returning to... #sage #green #color #palettes #youve