Dell Technologies World focuses its keynote on Inventing the Future with AIDell Technologies Dell Technologies unveiled a significant expansion of its Dell AI Factory platform at its annual Dell Technologies World conference today, announcing over 40 product enhancements designed to help enterprises deploy artificial intelligence workloads more efficiently across both on-premises environments and cloud systems. The Dell AI Factory is not a physical manufacturing facility but a comprehensive framework combining advanced infrastructure, validated solutions, services, and an open ecosystem to help businesses harness the full potential of artificial intelligence across diverse environments—from data centers and cloud to edge locations and AI PCs. The company has attracted over 3,000 AI Factory customers since launching the platform last year. In an earlier call with industry analysts, Dell shared research stating that 79% of production AI workloads are running outside of public cloud environments—a trend driven by cost, security, and data governance concerns. During the keynote, Michael Dell provided more color on the value of Dell’s AI factory concept. He said, "The Dell AI factory is up to 60% more cost effective than the public cloud, and recent studies indicate that about three-fourths of AI initiatives are meeting or exceeding expectations. That means organizations are driving ROI and productivity gains from 20% to 40% in some cases. Making AI Easier to Deploy Organizations need the freedom to run AI workloads wherever makes the most sense for their business, without sacrificing performance or control. While IT leaders embraced the public cloud for their initial AI services, many organizations are now looking for a more nuanced approach where the company can control over their most critical AI assets while maintaining the flexibility to use cloud resources when appropriate. Over 80 percent of the companies Lopez Research interviewed said they struggled to find the budget and technical talent to deploy AI. These AI deployment challenges have only increased as more AI models and AI infrastructure services were launched. Silicon Diversity and Customer Choice A central theme of Dell's AI Factory message is how Dell makes AI easier to deploy while delivering choice. Dell is offering customers choice through silicon diversity in its designs, but also with ISV models. The company announced it has added Intel to its AI Factory portfolio with Intel Gaudi 3 AI accelerators and Intel Xeon processors, with a strong focus on inferencing workloads. Dell also announced its fourth update to the Dell AI Platform with AMD, rolling out two new PowerEdge servers—the XE9785 and the XE9785L—equipped with the latest AMD Instinct MI350 series GPUs. The Dell AI Factory with NVIDIA combines Dell's infrastructure with NVIDIA's AI software and GPU technologies to deliver end-to-end solutions that can reduce setup time by up to 86% compared to traditional approaches. The company also continues to strengthen its partnership with NVIDIA, announcing products that leverage NVIDIA's Blackwell family and other updates launched at NVIDIA GTC. As of today, Dell supports choice by delivering AI solutions with all of the primary GPU and AI accelerator infrastructure providers. Client-Side AI Advancements At the edge of the AI Factory ecosystem, Dell announced enhancements to the Dell Pro Max in a mobile form factor, leveraging Qualcomm’s AI 100 discrete NPUs designed for AI engineers and data scientists who need fast inferencing capabilities. With up to 288 TOPs at 16-bit floating point precision, these devices can power up to a 70-billion parameter model, delivering 7x the inferencing speed and 4x the accuracy over a 40 TOPs NPU. According to Dell, the Pro Max Plus line can run a 109-billion parameter AI model. The Dell Pro Max Plus targets AI engineers and data scientist with with the ability to run a ... More 109-billion parameter modelDell Technologies The Pro Max and Plus launches follow Dell's previous announcement of AI PCs featuring Dell Pro Max with GB 10 and GB 300 processors powered by NVIDIA's Grace Blackwell architecture. Overall, Dell has simplified its PC portfolio but made it easier for customers to choose the right system for their workloads by providing the latest chips from AMD, Intel, Nvidia, and Qualcomm. On-Premise AI Deployment Gains Ecosystem Momentum Following the theme of choice, organizations need the flexibility to run AI workloads on-premises and in the cloud. Dell is making significant strides in enabling on-premise AI deployments with major software partners. The company announced it is the first provider to bring Cohere capabilities on-premises, combining Cohere's generative AI models with Dell's secure, scalable infrastructure for turnkey enterprise solutions. Similar partnerships with Mistral and Glean were also announced, with Dell facilitating their first on-premise deployments. Additionally, Dell is supporting Google's Gemini on-premises with Google Distributed Cloud. To simplify model deployment, Dell now offers customers the ability to choose models on Hugging Face and deploy them in an automated fashion using containers and scripts. Enterprises increasingly recognize that while public cloud AI has its place, a hybrid AI infrastructure approach could deliver better economics and security for production workloads. The imperative for scalable yet efficient AI infrastructure at the edge is a growing need. As Michael Dell said during his Dell Technologies World keynote, “Over 75% of enterprise data will soon be created and processed at the edge, and AI will follow that data; it's not the other way around. The future of AI will be decentralized, low latency, and hyper-efficient.” Dell's ability to offer robust hybrid and fully on-premises solutions for AI is proving to be a significant advantage as companies increasingly seek on-premises support and even potentially air-gapped solutions for their most sensitive AI workloads. Key industries adopting the Dell AI Factory include finance, retail, energy, and healthcare providers. Scaling AI Requires a Focus on Energy Efficiency Simplifying AI also requires product innovations that deliver cost-effective, energy-efficient technology. As AI workloads drive unprecedented power consumption, Dell has prioritized energy efficiency in its latest offerings. The company introduced the Dell PowerCool Enclosed Rear Door Heat Exchangerwith Dell Integrated Rack Controller. This new cooling solution captures nearly 100% of the heat coming from GPU-intensive workloads. This innovation lowers cooling energy requirements for a rack by 60%, allowing customers to deploy 16% more racks with the same power infrastructure. Dell's new systems are rated to operate at 32 to 37 degrees Celsius, supporting significantly warmer temperatures than traditional air-cooled or water-chilled systems, further reducing power consumption for cooling. The PowerEdge XE9785L now offers Dell liquid cooling for flexible power management. Even if a company isn't aiming for a specific sustainability goal, every organization wants to improve energy utilization. Early Adopter Use Cases Highlight AI's Opportunity With over 200 product enhancements to its AI Factory in just one year, Dell Technologies is positioning itself as a central player in the rapidly evolving enterprise AI infrastructure market. It offers the breadth of solutions and expertise organizations require to successfully implement production-grade AI systems in a secure and scalable fashion. However, none of this technology matters if enterprises can't find a way to create business value by adopting it. Fortunately, examples from the first wave of enterprise early adopters highlight ways AI can deliver meaningful returns in productivity and customer experience. Let's look at two use cases presented at Dell Tech World.Michael Dell, CEO of Dell Technologies, interviews Larry Feinsmith, the Managing Director and Head ... More of Global Tech Strategy, Innovation & Partnerships at JPMorgan Chase at Dell Technologies WorldDell Technologies The Power of LLMs in Finance at JPMorgan Chase JPMorgan Chase took the stage to make AI real from a customer’s perspective. The financial firm uses Dell's compute hardware, software-defined storage, client, and peripheral solutions. Larry Feinsmith, the Managing Director and Head of Global Tech Strategy, Innovation & Partnerships at JPMorgan Chase, said, "We have a hybrid, multi-cloud, multi-provider strategy. Our private cloud is an incredibly strategic asset for us. We still have many applications and data on-premises for resiliency, latency, and a variety of other benefits." Feinsmith also spoke of the company's Large Language Modelstrategy. He said, “Our strategy is to use a constellation of models, both foundational and open, which requires a tremendous amount of compute in our data centers, in the public cloud, and, of course, at the edge. The one constant thing, whether you're training models, fine-tuning models, or finding a great use case that has large-scale inferencing, is that they all will drive compute. We think Dell is incredibly well positioned to help JPMorgan Chase and other companies in their AI journey.” Feinsmith noted that using AI isn't new for JPMorgan Chase. For over a decade, JPMorgan Chase has leveraged various types of AI, such as machine learning models for fraud detection, personalization, and marketing operations. The company uses what Feinsmith called its LLM suite, which over 200,000 people at JPMorgan Chase use today. The generative AI application is used for QA summarization and content generation using JPMorgan Chase's data in a highly secure way. Next, it has used the LLM suite architecture to build applications for its financial advisors, contact center agents, and any employee interacting with its clients. Its third use case highlighted changes in the software development area. JPMorgan Chase rolled out code generation AI capabilities to over 40,000 engineers. It has achieved as much as 20% productivity in the code creation and expects to leverage AI throughout the software development life cycle. Going forward, the financial firm expects to use AI agents and reasoning models to execute complex business processes end-to-end.Seemantini Godbole, EVP and Chief Digital and Information Officer at Lowe's shares the retailers AI ... More strategy at Dell Technologies WorldDell Technologies. How AI Makes It Easier For Employees to Serve Customers at Lowe's Lowe's Home Improvement Stores provided another example of how companies are leveraging Dell Technology and AI to transform the customer and employee experience. Seemantini Godbole, EVP and Chief Digital and Information Officer at Lowe's, shared insights on designing the strategy for AI when she said, "How should we deploy AI? We wanted to do impactful and meaningful things. We did not want to die a death of 1000 pilots, and we organized our efforts across how we sell, how we shop, and how we work. How we sell was for our associates. How we shop is for our customers, and how we work is for our headquarters employees. For whatever reason, most companies have begun with their workforce in the headquarters. We said, No, we are going to put AI in the hands of 300,000 associates." For example, she described a generative AI companion app for store associates. "Every store associate now has on his or her zebra device a ChatGPT-like experience for home improvement.", said Godbole. Lowe's is also deploying computer vision algorithms at the edge to understand issues such as whether a customer in a particular aisle is waiting for help. The system will then send notifications to the associates in that department. Customers can also ask various home improvement questions, such as what paint finish to use in a bathroom, at Lowes.com/AI. Designing A World Where AI Infrastructure Delivers Human Opportunity Michael Dell said, "We are entering the age of ubiquitous intelligence, where AI becomes as essential as electricity, with AI, you can distill years of experience into instant insights, speeding up decisions and uncovering patterns in massive data. But it’s not here to replace humans. AI is a collaborator that frees your teams to do what they do best, to innovate, to imagine, and to solve the world's toughest problems." While there are many AI deployment challenges ahead, the customer examples shared at Dell Technologies World provide a glimpse into a world where AI infrastructure and services benefits both customers and employees. The challenge now is to do this sustainably and ethically at scale. #how #dells #infrastructure #updates #deliver

Jamie Dimon Tom Williams/CQ-Roll Call, Inc via Getty Images 2025-05-19T19:21:31Z d Read in app This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? JPMorgan CEO Jamie Dimon addressed a range of topics at the firm's Investor Day meeting on Monday. He said the bank will allow investors to buy bitcoin, while warning against stagflation. He sounded dour on the economy but hopeful on the potential for a regulatory reset. Jamie Dimon isn't a fan of bitcoin, but he plans to start offering it to clients of JPMorgan Chase nonetheless."We are going to allow you to buy it," Dimon said at the bank's annual presentation for investors on Monday. "We're not going to custody it. We're going to put it in statements for clients.""I don't think you should smoke. But I defend your right to smoke," he said in explaining his position. The bitcoin comments came as the JPMorgan CEO, often considered Wall Street's elder statesman, took the stage to answer questions from investors and research analysts. In the roughly 40-minute session, he touched on a range of topics, from the economy to what he expects from Trump's regulators. Dimon sounded a dour note on the economy, saying he thinks the risk of stagflation is "two times" higher than many think, and making dire predictions on credit as an investment class. "I think the worst one for a bank and for most companies is stagflation," he continued, warning: "I think the odds of that are probably two times what the market thinks."He also said the bank had lost some commercial opportunities as a result of Trump's trade war. "We've lost business because of that," he said in response to an analyst's question.He sounded upbeat, however, when it came to the president's regulatory agenda. "I think that the Secretary of Treasury, the president of the United States, the new head of the OCC, the new head of the CFPB, Michelle Bowman at Federal Reserve, and the SEC have all made it clear that they want to fix some of the things they think are broken," he said. "I think they'll accomplish some of that. Some will take longer than others, but they all want to do it."He called on regulators to consider lightening regulations for publicly traded companies, which he said have been halved since the 1990s, from 8,000 to 4,000. "We're driving companies out of the public marketplace because of expensive reporting, litigation, cookie-cutter approaches to boards, compensation, and litigation," he said. "I would love to be a private company," he added.Dimon also raised questions about the rapid expansion of investments in credit, including through funds raised to make nonbank loans, or private credit. "I don't like making forecasts," Dimon said, "but I am not a buyer of credit today. I think credit today is a bad risk," he said, adding, "I think that people who haven't been through major downturns are missing the point about what can happen in credit." As interest rates rise and economic conditions soften, the risk of credit defaults rises, sometimes leaving borrowers strapped for cash and lenders struggling to recoup capital.Earlier in the day, Marianne Lake, JPMorgan's CEO of consumer and community banking, said the firm was "closely monitoring the whole ecosystem" of lending but not giving up in spite of warning signs. "The environment is very challenging for home lending and auto," she said, adding, "but we remain committed."Have a tip? Contact this reporter via email at ralexander@businessinsider.com or SMS/Signal at 561-247-5758. Use a personal email address and a nonwork device; here's our guide to sharing information securely. Recommended video #jamie #dimon #opens #door #bitcoin

JPMorgan is now allowing clients to buy bitcoin, a major shift for the largest U.S. bank. #jpmorgan #ceo #jamie #dimon #says

Welcome back to our Sunday edition, where we round up some of our top stories and take you inside our newsroom. If you're lucky enough to receive a lump sum of cash, it might be tempting to take the trip that's been on your bucket list. But if you want to take the responsible route, BI broke down how to manage a windfall that includes age, risk factors, and financial goals.On the agenda today:Why Microsoft is flattening its management layers.HBO Max is mocking itself with memes as it rebrands … again.The Seed 100: Here are the best early-stage investors of 2025.Goldman Sachs is leaning into AI. Here's what we know about five of its tools.But first: Let's talk tariffs.If this was forwarded to you, sign up here. Download Business Insider's app here.This week's dispatch Mint Images/Getty Images/Mint Images RF 'A lose-lose situation'There are a few ways to think about President Donald Trump's trade deal with China.For one, Wall Street loves it. Stocks recovered their "Liberation Day" losses. Fears of an imminent recession, at least viewed through the lens of the betting markets, have already started to subside.But the real-world ripple effects of the current tariff situation are far less clear-cut. Friday's downbeat consumer sentiment data, the second-worst reading on record, showed just how gloomy people feel right now.Consider how a range of businesses — big and small — reacted in the aftermath of the 90-day pause on higher tariffs with China.Retail titan Walmart said it will raise prices in light of Trump's tariffs. John David Rainey, Walmart's chief financial officer, told CNBC, "the magnitude of these increases is more than any retailer can absorb."Toy maker Hasbro abruptly reversed course on its decision to raise prices and halt some production following Monday's deal, but the future isn't clear. Gina Goetter, Hasbro's chief financial officer, said at a conference, "every day is a new adventure."And for small businesses, planning ahead during this rapidly changing global landscape is proving to be particularly difficult.One small-business owner quantified the tariff impact. Jamey Stegmaier told BI he worries they could put his board game company, Stonemaier Games, out of business.If the full 145% tariffs had remained in effect, he'd need to raise the price of his Wingspan game, which sells for to close to "No one would buy it," he said.He'd love to move production to the US to avoid tariffs. However, the US doesn't have the infrastructure or expertise he said he needs.The current US-China trade agreement also isn't a complete relief. The 30% tariffs are "still painful," Stegmaier added.Ultimately, the unpredictability surrounding Trump's tariff policy means customers could start seeing higher prices across the board."There's no math that makes it work," Stegmaier said. "There's no silver lining. It's a lose-lose-lose situation for everyone involved."Microsoft's bid to flatten management Satya Nadellacelebrates Microsoft's 50 year anniversary with Steve Ballmerand Bill GatesJeffrey Dastin/REUTERS Microsoft is axing 6,000 jobs to increase "span of control," or the number of employees reporting to each manager. The cuts come as the tech giant reduces costs and invests heavily in AI.The half-dozen Microsoft insiders whom BI spoke to about the cuts see the effort as a good thing.Also read:Max is roasting its own rebrand Turning HBO in to HBO Max and then Max and now HBO Max is pretty funny — something the streaming service is acknowledging itself by distributing this meme to the media. Warner Bros. Discovery The streamer is tacking "HBO" back onto its name after abandoning it in 2023. That may seem a bit ridiculous, and Max is well aware. Instead of being laughed at, Max is opting to laugh with the internet.The social team at Warner Bros. Discovery cooked up a host of memes for the occasion. BI's Dan Whateley broke down why silliness, rather than sincerity, could be the right move.Also read:The top 100 early-stage investors of 2025 Courtesy of Ben Ling, Ann DeWitt, Meltem Demirors, Kevin Mahaffey, Alexis Ohanian, Ava Horton/BI Seed-stage investors reach for their checkbooks after hearing merely the kernel of an idea. They may have the hardest job in VC.Back for its fifth year, BI's Seed 100 list uses Termina's data analysis to identify and honor these dealmakers. Their interests span tech, from defense to consumer.Also read:Five tools in Goldman's AI arsenal Getty Images; Jenny Chang-Rodriguez/BI The bank's tech chief once said AI would be as ubiquitous as email, with 100% of the workforce relying on it. With Goldman Sachs' up-and-coming slate of AI tools, the bank appears to be on track.BI kept tabs on the rollout of these resources, ranging from an AI assistant to a translation tool.This week's quote:"These days Gates looks like a sage compared to Musk and compared to the administration."— Michael Morris, a professor at the Columbia Business School, on both Elon Musk's and Bill Gates' approach to efficiency.More of this week's top reads:How to get a job in the booming business of secondaries.We found 200 "podcasts" peddling opioids. Now Spotify is taking them down.Meet the CEOs behind YouTube's biggest stars.Please, kids: Do not set your Chromebook on fire.Hulk Hogan's beer brand is eyeing a takeover of the Hooters name.Why Citadel Securities is training its developers on a coding language that hasn't even been released yet.Meta's Llama has reached a turning point with developers as delays and disappointment mount.Brevan Howard hires longtime JPMorgan dealmaker Carlos Hernandez as its first executive chair.In a chilly funding market, a VC explains why legal tech is "as hot as you can humanly imagine."The BI Today team: Dan DeFrancesco, deputy editor and anchor, in New York. Grace Lett, editor, in Chicago. Amanda Yen, associate editor, in New York. Lisa Ryan, executive editor, in New York. Elizabeth Casolo, fellow, in Chicago. #only #certainty #around #trump039s #tariffs

Michael M. Santiago/Getty Images; Getty Images; BIWall Street banks are proving that generative AI is here to stay, and the tech is not just a fad.Business Insider has reported on how some of finance's biggest banks are approaching generative AI.See how giants like Goldman Sachs and JPMorgan are weaving the tech into the fabric of their firms.Wall Street bank leaders say generative AI is here to stay, and they're weaving the technology throughout the fabric of their banks to make sure.From trading to payments to marketing, it's hard to find a corner of the banking industry that isn't claiming to use AI.In fact, the technology's impact, made mainstream by OpenAI's ChatGPT in late 2022, is becoming cultural. Generative AI is changing what it takes to be a software developer and how to stand out as a junior banker, especially as banks mull over how to roll out autonomous AI agents. The technology is even changing roles in the c-suite. But it's also presented new challenges — bank leaders say they are struggling to keep up with AI-powered cyberattacks.From supercharging productivity via AI-boosted search engines to figuring out the best way banks can realize a return on their AI investments, here's what we know about how Wall Street banks are embracing AI.JPMorgan ChaseJPMorgan CEO Jamie DimonTom Williams/CQ-Roll Call, Inc via Getty ImagesJPMorgan CEO Jamie Dimon is a "tremendous" user of the bank's generative AI suite. We have the story of how he and other bank executives use AI.JPMorgan's AI rollout: Jamie Dimon's a 'tremendous' user and it's caused some 'healthy competition' among teamsJPMorgan is making a big bet on AI. Here's how its private bankers are using it.Dimon also laid out his vision for how America's largest bank will win the AI battle against fintechs through data. Meet the leaders of that mission.Jamie Dimon says he's out to win the AI arms race. See who he's put in charge of this critical mission.JPMorgan's Lori Beer just added 2 new tech leaders to her ranks. Meet the team behind the bank's AI future.Mary Erdoes, the boss of JPM's asset- and wealth-management business, used these slides to outline how she wants to get her people ready for the "AI of the future."Here's how JPM boss Mary Erdoes wants to use AI to eliminate "no joy" workIt's not just JPMorgan's in-house tech teams that have been gearing up for an AI future. Cloud partners, like AWS, also play an important role.AWS is helping financial giants like JPMorgan and Bridgewater with their AI ambitionsGoldman SachsGoldman Sachs' David SolomonMichael KovacIs Goldman in its AI era? These real-world stories about employees using AImake it seem so. Take a look at how AI is being put to the test across the bank and seniority levels, from C-suites to analysts.7 Goldman Sachs insiders explain how the bank's new AI sidekick is helping them crush it at workGoldman is assembling a growing arsenal of AI tools. Here's everything we know about 5.AI is doing 95% of the work on an IPO prospectus, Goldman Sachs CEO saysGoldman's top partners and CEO David Solomon are eager to see AI rev up their businesses. From realizing internal productivity gains to capturing more business as clients look to raise money in anticipation of AI development and acquisitions, here's what the top echelon is expecting.How AI will shake up Goldman Sachs, according to top partners and CEO David SolomonInside Goldman Sachs' plans for AI, from helping non-tech workers do more with software to streamlining how code is documentedThere is no AI without data, and there is no data strategy at Goldman without its chief data officer, Neema Raphael. Raphael gave BI an inside look at how his roughly 500-person team melds with the rest of the bank to get the most out of its data.Meet Neema Raphael, the data whiz key to Goldman's AI ambitions who's overseeing the bank's army of engineers and scientistsAI's impact has ripple effects that go far beyond technology. Goldman's chief information officer, Marco Argenti, predicts that cultural change will be critical to getting the bank to 100% adoption.Goldman Sachs CIO Marco Argenti says Wall Street's 'next big wave' in AI will come down to culture, not just technologyMany dollars are being spent on Wall Street's AI ambitions. But how do you measure the return on the investment? Argenti offers some tips on the calculus that can help firms prioritize where to invest.As AI usage ramps up on Wall Street, Goldman Sachs CIO details how the bank analyzes return on investment for the techMorgan StanleyMorgan Stanley CEO Ted PickJeenah Moon / ReutersMorgan Stanley wants to turn employees' AI ideas into a reality. Here's an exclusive look at that process.Morgan Stanley has 30 AI projects in the pipeline. Here's how the bank sources employees' ideas for inspiration.See how AI is transforming Morgan Stanley's wealth division and the jobs of its 16,000 financial advisors.Morgan Stanley is betting on AI to free up advisors' time to be 'more human.' Nearly 100% of advisor teams use it, and here's how.Thanks to its partnership with ChatGPT-maker OpenAI, Morgan Stanley has ramped up its AI efforts. The exec in charge of tech partnerships and firmwide innovation opened up about how it all started.Morgan Stanley's new innovation head lays out his plan for more OpenAI-type partnershipsA Morgan Stanley exec breaks down how the bank courts tech partners like OpenAICitiCiti's Jane FraserNICHOLAS KAMM/Getty ImagesMeet the new exec in charge of giving an AI facelift to Citi's lagging wealth business.Citi snags AI leader from Morgan Stanley to help turn around its wealth techCiti's top tech executive, Shadman Zafar, outlined the bank's four-phased AI strategy and how it will "change how we work for decades to come."A top Citi tech exec breaks down the 4 phases of the bank's AI strategy that will impact everyone from operations to wealth and productBank of AmericaBank of America's Brian MoynihanJohn Lamparski/Getty ImagesBank of America's chief experience officer, Rob Pascal, details how the bank's internal-facing AI assistant helps bankers collect, record, and review client data. Here are all the ways it's helping employees be more effective and efficient.How Bank of America is using an AI-powered tool to help its bankers prep for client meetings more efficientlyAI hits the investment bankWall Street investment banks prepare for an AI future.Momo Takahashi/BIInvestment bankers are hopeful that corporate America's obsession with AI could kick off a new era of mergers, acquisitions, and IPOs. From execs stepping into recently created roles to accommodate the sector to industry veterans launching their own AI-focused M&A-advisory firm, meet 11 investment bankers poised to lead Wall Street's AI revolution.Wall Street is gearing up for an AI shopping spree. Meet 11 bankers poised to come out on top.We spoke with four of those AI bankers about why 2025 is going to be all about AI pickaxes and shovels rather than pure-play AI deals.The deals 4 tech bankers think the 'AI arms race' could drive in 2025AI could save junior bankers time by automating tedious tasks known all too well by Wall Street's youngest ranks. But it can also make it harder to break into the industry by shifting the skills required for entry.How AI will change the job of the junior banker and raise the bar to entryA former Goldman Sachs managing director built an AI-powered networking tool to spur dealmaking. The budding startup, Louisa AI, already has a few clients, including Goldman Sachs, Insight Partners, and a global exchange.See the pitch deck that helped a former Goldman Sachs exec raise million for an AI-powered networking startup that feeds deal ideas to bankers.Here's how former investment bankers left their Wall Street jobs to build an AI startup to solve junior bankers' woes.See the pitch deck that helped former investment bankers raise a million seed round for their generative 'AI consigliere' to bankers and analystsRead the original article on Business Insider #here039s #everything #know #about #how

Quantum computing may still be regarded by many IT leaders as a very niche technology, but broader business use cases may be just a few years away. While only a handful of companies have machines with logical qubits today, delegates at the Commercialising Quantum Computing conference in London were told that a machine with 100 logical qubits would offer quantum advantage in material science by 2028. This means that, by then, a sufficiently powerful and stable quantum computer would start delivering business value better than what would be possible using high performance computing. Mark Jackson, senior quantum evangelist at Quantinuum, said the company was already using generative quantum artificial intelligence. In a fireside chat at the conference, Jackson spoke about the interaction between quantum computing and AI. It is largely acknowledged that a quantum computer is not good at providing a precise answer, such as if applied to big data analysis. But, according to Jackson, it shines when used for machine learning, which can be applied to identify a correct answer. Quantum-enhanced machine learning can process large datasets far quicker than conventional computers, especially when applied to detecting patterns. “Quantum computers can detect patterns that would be missed by other conventional computing methods,” said Jackson. This ability to detect patterns in massive datasets could revolutionise cyber security. Becky Pickard, managing director of global cyber operations at Barclays, pointed out during a panel discussion that a lot of progress has been made with machine learning and how to apply it on a day-to-day basis: “We’re working with massive volumes of data – 12Tbytes – on a daily basis.” She suggested that quantum machine learning could help. From an optimisation perspective, she is keen to see the development of quantum computing applied in a way that reshapes cyber defence.  HSBC is one of the organisations that has been working on quantum computing for several years. Discussing the return on investment opportunity, and how quantum computing can be used to build more optimised financial models, Phil Intallura, global head of quantum technologies at HSBC, said: “When you breakdown the opportunities, financial services is one of the biggest beneficiaries.” As Intallura points out, banks are always looking for a better financial model: “There’s one thing that catalyses commercial organisations more than anything else, and that’s confidence. If you can show a solution using quantum technology that can get a better output based than using a supercomputers,will give you much more runway than you need.” Another application area is the ability to generate a true random number, which can feed into financial model simulations. In March, a team of researchers from JPMorganChase, Quantinuum, Argonne National Laboratory, Oak Ridge National Laboratory, and the University of Texas at Austin published a paper in Nature discussing a technique known as Random Circuit Sampling. RCS is used to perform a certified-randomness-expansion protocol, which outputs more randomness than it takes as input. It is a task that is often used to demonstrate quantum supremacy since it cannot be achieved on a classical computer. Speaking of the usefulness of a quantum number generator at HSBC, Intallura said: “Using quantum random numbers as your entropy source to classical simulation does not change any of the underlying model practices in classical models. You’re just injecting a different source of entropy than what we woulduse.” For Intallura, regulatory pressure and the need to ensure financial transactions are secure is helping to inform quantum computing plans at financial institutions.  The US National Institute of Standards and Technology has ratified a number of post-quantum cryptographystandards. Banks face pressure from regulators to replace RSA-2048 encryption by 2035 and migrate fully over to quantum safe encryption standards to protect banking transactions.But, as Mark Carney, lead of quantum cyber security research at Santander Global, noted, post-quantum cryptography needs both software and hardware acceleration. “We want to be able to have PQC at speed in our devices and on our payment cards,” he said. “We want to give our customers the very best cryptography that we possibly can – not just for regulatory purposes, but also because it gives a sense of assurance.” Among the promises of quantum computing is that it can be applied to solve complex optimisation problems. As and when they become commercially viable, such systems will need to work alongside traditional enterprise IT. This is something that Gerard Mullery, interim CEO of Oxford Quantum Circuits, recognised during his presentation at the event. Mullery sees a need for quantum computing to be embedded in enterprise workflows.  “As AI agents autonomously orchestrate enterprise workflows, quantum compute platforms must be designed to integrate with them,” he added. What is clear from the experts who spoke at the Commercialising Quantum Computing conference is that a useful machine is perhaps only a few years away. This will have enough logical qubits to solve real-world problems. As such devices evolve, it is likely more organisations will draw on quantum computing for certain combinatorial optimisation problems, which will need to integrate with classical computing in the datacentre. As quantum computing becomes more accessible, there will also be a need to bolster cryptography with PQC. about quantum developments Cisco lays out plans for networking in era of quantum computing: The network equipment provider has opened a new lab and developed a prototype chip as it fleshes out its quantum networking strategy. Quantum datacentre deployments: How they are supporting evolving compute projects: Quantum datacentre deployments are emerging worldwide, so what are they and where are the benefits? #how #close #quantum #computing #commercial

In its latest executive guide, “Agentic AI – The New Frontier in GenAI,” PwC presents a strategic approach for what it defines as the next pivotal evolution in enterprise automation: Agentic Artificial Intelligence. These systems, capable of autonomous decision-making and context-aware interactions, are poised to reconfigure how organizations operate—shifting from traditional software models to orchestrated AI-driven services. From Automation to Autonomous Intelligence Agentic AI is not just another AI trend—it marks a foundational shift. Unlike conventional systems that require human input for each decision point, agentic AI systems operate independently to achieve predefined goals. Drawing on multimodal data (text, audio, images), they reason, plan, adapt, and learn continuously in dynamic environments. PwC identifies six defining capabilities of agentic AI: Autonomy in decision-making Goal-driven behavior aligned with organizational outcomes Environmental interaction to adapt in real time Learning capabilities through reinforcement and historical data Workflow orchestration across complex business functions Multi-agent communication to coordinate actions within distributed systems This architecture enables enterprise-grade systems that go beyond single-task automation to orchestrate entire processes with human-like intelligence and accountability. Closing the Gaps of Traditional AI Approaches The report contrasts agentic AI with earlier generations of chatbots and RAG-based systems. Traditional rule-based bots suffer from rigidity, while retrieval-augmented systems often lack contextual understanding across long interactions. Agentic AI surpasses both by maintaining dialogue memory, reasoning across systems (e.g., CRM, ERP, IVR), and dynamically solving customer issues. PwC envisions micro-agents—each optimized for tasks like inquiry resolution, sentiment analysis, or escalation—coordinated by a central orchestrator to deliver coherent, responsive service experiences. Demonstrated Impact Across Sectors PwC’s guide is grounded in practical use cases spanning industries: JPMorgan Chase has automated legal document analysis via its COiN platform, saving over 360,000 manual review hours annually. Siemens leverages agentic AI for predictive maintenance, improving uptime and cutting maintenance costs by 20%. Amazon uses multimodal agentic models to deliver personalized recommendations, contributing to a 35% increase in sales and improved retention. These examples demonstrate how agentic systems can optimize decision-making, streamline operations, and enhance customer engagement across functions—from finance and healthcare to logistics and retail. A Paradigm Shift: Service-as-a-Software One of the report’s most thought-provoking insights is the rise of service-as-a-software—a departure from traditional licensing models. In this paradigm, organizations pay not for access to software but for task-specific outcomes delivered by AI agents. For instance, instead of maintaining a support center, a business might deploy autonomous agents like Sierra and only pay per successful customer resolution. This model reduces operational costs, expands scalability, and allows organizations to move incrementally from “copilot” to fully autonomous “autopilot” systems. To implement these systems, enterprises can choose from both commercial and open-source frameworks: LangGraph and CrewAI offer enterprise-grade orchestration with integration support. AutoGen and AutoGPT, on the open-source side, support rapid experimentation with multi-agent architectures. The optimal choice depends on integration needs, IT maturity, and long-term scalability goals. Crafting a Strategic Adoption Roadmap PwC emphasizes that success in deploying agentic AI hinges on aligning AI initiatives with business objectives, securing executive sponsorship, and starting with high-impact pilot programs. Equally crucial is preparing the organization with ethical safeguards, data infrastructure, and cross-functional talent. Agentic AI offers more than automation—it promises intelligent, adaptable systems that learn and optimize autonomously. As enterprises recalibrate their AI strategies, those that move early will not only unlock new efficiencies but also shape the next chapter of digital transformation. Download the Guide here. 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 90k+ ML SubReddit. Here’s a brief overview of what we’re building at Marktechpost: ML News Community – r/machinelearningnews (92k+ members) Newsletter– airesearchinsights.com/(30k+ subscribers) miniCON AI Events – minicon.marktechpost.com AI Reports & Magazines – magazine.marktechpost.com AI Dev & Research News – marktechpost.com (1M+ monthly readers) Partner with us NikhilNikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.Nikhilhttps://www.marktechpost.com/author/nikhil0980/Multimodal AI Needs More Than Modality Support: Researchers Propose General-Level and General-Bench to Evaluate True Synergy in Generalist ModelsNikhilhttps://www.marktechpost.com/author/nikhil0980/This AI Paper Introduces Effective State-Size (ESS): A Metric to Quantify Memory Utilization in Sequence Models for Performance OptimizationNikhilhttps://www.marktechpost.com/author/nikhil0980/Huawei Introduces Pangu Ultra MoE: A 718B-Parameter Sparse Language Model Trained Efficiently on Ascend NPUs Using Simulation-Driven Architecture and System-Level OptimizationNikhilhttps://www.marktechpost.com/author/nikhil0980/Google Redefines Computer Science R&D: A Hybrid Research Model that Merges Innovation with Scalable Engineering Source: https://www.marktechpost.com/2025/05/13/pwc-releases-executive-guide-on-agentic-ai-a-strategic-blueprint-for-deploying-autonomous-multi-agent-systems-in-the-enterprise/ #pwc #releases #executive #guide #agentic #strategic #blueprint #for #deploying #autonomous #multiagent #systems #the #enterprise