Latest news with #RajatTaneja
Yahoo
18-04-2025
- Business
- Yahoo
B2AI is the new B2B: Why companies need to start designing products for AI agents
Some common business models can be described as B2C and B2B, which are 'business-to-consumer,' and 'business-to-business,' respectively. But now, get ready for 'B2AI,' or 'business-to-AI.' Zillow turns full-blown housing market bear—just look at its new forecast Apple canceled 'Mythic Quest.' Then it did something unheard of in the world of streaming TV Big Lots store openings update: See the full list of '2nd wave' locations that will reopen for business in May That's one of the potential disruptions on the horizon, identified in a new report from Visa and the Institute for the Future. The report digs into the numerous ways that AI will transform commerce, and to some degree personal finance, including how consumers will likely lasso AI for their own means—and how businesses will, in turn, develop AI agents to communicate and correspond with consumers' AIs. While many people likely haven't adopted 'personal' AI tools yet, they're on the market. And similar to how businesses adopted search engine optimization, or SEO, strategies to attract customers, the next technological wave will see those same businesses deploying similar strategies to appeal to AIs. 'It'll be the new SEO—instead of optimizing for Google, you're optimizing for the perception of what AI agents are suggesting,' says Dylan Hendricks, director of the 10-year forecast program for the Institute for the Future. 'A lot of companies and organizations have teams that are looking at AI and thinking about creating bots, but they're not thinking about how everybody's going to have bots. And as people encounter an onslaught of AI bots trying to talk to them, they'll need their own bots to work to shield them, and act as a vetting system.' Basically, there'll be so much AI information being pushed toward consumers, that they'll need discerning AIs to tell them what's actually relevant. That will birth new 'B2AI' strategies. And yes, it'll be weird at first. But there was also a time when search engines were weird, and strategies to game them were seen as strange, too. All of it is commonplace today, as we've grown accustomed to the technology and the strategies around them have been normalized. And some are saying we'll likely have a similar, albeit faster, developing relationship with AI. That fast pace is surprising even to the experts, says Rajat Taneja, Visa's president of technology, who says that Visa's been working with AI in some capacity for more than three decades. 'The speed at which this has developed is something we couldn't have predicted,' he says, adding also that 'despite all these advancements, we're still in the 'hunt-and-peck' part' of the AI tech cycle—'it's not as seamless as we'd like it to be.' Taneja predicts that personal AI assistants will likely be ubiquitous within a handful of years as the technology improves and becomes more obviously useful, and more people grow accustomed to using it. That, in turn, will spur companies and organizations to adjust their strategies, appealing not only to human consumers, but those AI assistants as well. Hendricks says that the transition won't be seamless, but in a few years, it'll be hard to imagine our lives without AI. 'It's like discovering fire,' he says. 'There's a period where people are just burning down their houses until they learn to use it to cook and heat their homes.' Hendricks thinks that we're still in the 'burn down our houses' phase of learning to use AI assistants, but it's only a matter of time before the upsides become obvious to most people. This post originally appeared at to get the Fast Company newsletter: Sign in to access your portfolio
Yahoo
08-04-2025
- Business
- Yahoo
Visa Insiders Sold US$20m Of Shares Suggesting Hesitancy
Over the past year, many Visa Inc. (NYSE:V) insiders sold a significant stake in the company which may have piqued investors' interest. Knowing whether insiders are buying is usually more helpful when evaluating insider transactions, as insider selling can have various explanations. However, when multiple insiders sell stock over a specific duration, shareholders should take notice as that could possibly be a red flag. Although we don't think shareholders should simply follow insider transactions, we would consider it foolish to ignore insider transactions altogether. This technology could replace computers: discover the 20 stocks are working to make quantum computing a reality. In the last twelve months, the biggest single sale by an insider was when the President of Technology, Rajat Taneja, sold US$11m worth of shares at a price of US$316 per share. So we know that an insider sold shares at around the present share price of US$312. We generally don't like to see insider selling, but the lower the sale price, the more it concerns us. Given that the sale took place at around current prices, it makes us a little cautious but is hardly a major concern. Visa insiders didn't buy any shares over the last year. You can see the insider transactions (by companies and individuals) over the last year depicted in the chart below. If you want to know exactly who sold, for how much, and when, simply click on the graph below! Check out our latest analysis for Visa For those who like to find hidden gems this free list of small cap companies with recent insider purchasing, could be just the ticket. The last three months saw significant insider selling at Visa. Specifically, insiders ditched US$6.1m worth of shares in that time, and we didn't record any purchases whatsoever. Overall this makes us a bit cautious, but it's not the be all and end all. I like to look at how many shares insiders own in a company, to help inform my view of how aligned they are with insiders. I reckon it's a good sign if insiders own a significant number of shares in the company. Visa insiders own about US$237m worth of shares (which is 0.04% of the company). Most shareholders would be happy to see this sort of insider ownership, since it suggests that management incentives are well aligned with other shareholders. Insiders sold stock recently, but they haven't been buying. Looking to the last twelve months, our data doesn't show any insider buying. But it is good to see that Visa is growing earnings. While insiders do own a lot of shares in the company (which is good), our analysis of their transactions doesn't make us feel confident about the company. In addition to knowing about insider transactions going on, it's beneficial to identify the risks facing Visa. To assist with this, we've discovered 1 warning sign that you should run your eye over to get a better picture of Visa. Of course Visa may not be the best stock to buy. So you may wish to see this free collection of high quality companies. For the purposes of this article, insiders are those individuals who report their transactions to the relevant regulatory body. We currently account for open market transactions and private dispositions of direct interests only, but not derivative transactions or indirect interests. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Sign in to access your portfolio
Associated Press
24-03-2025
- Business
- Associated Press
NYSE CONTENT ADVISORY: The NYSE on the ground at HumanX's inaugural AI conference
NEW YORK, March 24, 2025 /PRNewswire/ -- As a leading global exchange, the NYSE is committed to empowering our diverse communities, wherever they may be. Engaging with our listed companies and emerging startups at key industry events is an opportunity to do just that. Experience the full interactive Multichannel News Release here: So, when the visionary teams behind HLTH and Money 20/20—two conferences where we are already deeply involved—unveiled the creation of a new AI-focused community, we were ready to be a part of it. With Funding from a16z, FPV Ventures, Foundation Capital, and Primary Ventures, HumanX is on a mission to distill AI complexity into actionable insights, strategies and tactics to help corporate and government leaders to move confidently forward in deploying and integrating AI. The inaugural HumanX conference was held on March 10-13, 2025 at The Fontainebleau Resort in Las Vegas and featured leaders from diverse industries including Healthcare and Life Sciences, Financial Services, Consumer and Retail, Cybersecurity, Sales and Marketing, Infrastructure Tools and Business Operations. In total, the event comprised of nine diverse industry tracks, over 300 expert speakers, and numerous opportunities for NYSE to collaborate. NYSE kicked off our coverage with a preview by Stefan Weitz, CEO of HumanX, and insights into industry trends from Gene Teare, Senior Data Editor at Crunchbase. According to Stefan, companies in attendance raised over $95 billion in capital and a third have plans to engage in M&A in the coming year. He later described the gathered community as, 'the pioneers, the builders, and the decision makers, those who aren't just watching AI unfold around them, but hopefully actively shaping its future. From startups to Fortune 500 companies, from policy makers to investors, … they're building a roadmap for how AI and humanity can actually thrive together, and we do it at scale.' On Monday, March 10, Laura Diorio from the NYSE moderated a panel discussion on how AI is transforming finance through predictive analytics, fraud prevention, and automation, featuring Andrew Brown (Check), Laura Spiekerman (Alloy), and Juan Pablo Ortega (Yuno). Our coverage also highlighted companies like Credo AI, Brex, Glean, Vanta, Metropolis, Cerebras, SambaNova, and more, with real-time engagement from major participating companies. Stefan Weitz officially welcomed attendees, followed by commentary from Sridhar Ramaswamy, CEO of Snowflake, and Rajat Taneja, President of Technology at Visa. On Tuesday, March 11, NYSE President Lynn Martin led a discussion on AI in the workplace with Sarah Franklin, CEO of Lattice, and Tomer Cohen, CPO of LinkedIn. The day also featured a Women in AI highlight with contributions from Lynn, alongside Monte Carlo, Credo AI, Lattice, Writer, Vanta, and others. Michael Misiewicz, Head of Data Science at Yext, previewed his presence on the HumanX panel and discussed Yext's new product, Scout. Rajat Taneja unveiled new research on AI's impact on commerce and finance from the Institute for the Future. Sven Gierlinger, SVP and CXO at Northwell Health, discussed his involvement in HumanX Innovation and Healthcare. The event also featured companies like Airtable, Mistral, Neo4J, Dialpad, Dataiku, and Crunchbase. Coming off the success of the inaugural HumanX Conference, its leadership team convened at the corner of Wall and Broad to ring the Opening Bell on Wednesday, March 19, to mark next year's conference in San Francisco, planned for April 2026. While here, CEO Stefan Weitz conducted interviews on the trading floor, including with NYSE TV. When he took to stage at the Opening Bell Ceremony, Stefan had this to say about opening the US Equity Markets, 'Let's recognize what we're actually doing, what we're actually opening. It's really a future where AI isn't just another tool, it's a force multiplier, a future where those who understand its potential for those who invest in its power, who won't just adapt, they will lead.'
Yahoo
06-02-2025
- Business
- Yahoo
How Visa places big bets on AI and gen AI to secure 639 million daily transactions
Rajat Taneja has a delicate balancing act in his role as president of technology at Visa. He is responsible for the security and resilience of 639 million transactions each day, money that moves between more than 150 million merchants and 4.6 billion active Visa cards while keeping pace with fast-evolving technologies like generative artificial intelligence. 'That infrastructure has to run in a rock solid manner,' says Taneja, who has worked at Visa for more than 11 years, after serving as chief technology officer at video game publisher Electronic Arts and a 15-year career in research and development leadership roles at Microsoft. When he initially joined Visa in 2013 as a EVP of technology, the company was beginning to see an evolution from simpler forms of AI to more deep learning, neural networks that can learn from data including images and text. Taneja and Visa then spent a few years—and $3.5 billion in total—rebuilding the company's data platform from scratch, including rebuilding and rearchitecting systems to support more modern technologies like digital and mobile commerce, as well as tokenization, which replaces the 16-digit number found on a card with a digital 'token' that Visa says reduces the risk of a data breach. The refreshed data platform also helped position Visa for the generative AI boom. Visa's researchers had been exploring generative AI but it was after the ChatGPT breakthrough in late 2022 that Taneja and his team created rules to protect the company's data, avoid any copyright infringement, and ensure the models Visa uses are compliant with regulations. The company also gave nearly all its workforce access to a secure, internal version of ChatGPT, and it has licenses with Microsoft Copilot for software developers and the sales team. 'We give unfettered access, but with the guardrails and the controls that we built at the beginning,' says Taneja. Today, Visa has embedded more than 100 products with AI and generative AI technologies. Fraud prevention is a big area of focus for Visa's generative AI applications, especially because bad actors are also using generative AI for phishing attacks, helping scammers craft emails, texts, or calls to extract personal banking information from their victims. Some newer generative AI tools include Visa Account Attack Intelligence, which uses the technology to identify and score attacks before a merchant is compromised, and Visa Protect for Account to Account Payments, which provides a risk score to assist financial institutions and automatically block bad transactions deemed suspicious. Visa says generative AI, along with other forms of AI like deep learning detection models, has helped it prevent around $40 billion in fraud attempts annually. As is the case with fraud prevention, most of Visa's generative AI applications are behind the scenes, including assisting with cybersecurity and software development. As for some consumer-facing applications of generative AI technologies, Taneja says they are mostly still in development and not yet ready for deployment. Taneja, who uses generative AI to craft songs to thank his 12,000-strong team or celebrate his father's birthday, also aims to inspire excitement about the technology at Visa. A company hackathon he organized saw thousands of participants and more than 2,300 ideas for AI across departments varying from IT to finance to marketing. A second, three-week hackathon is currently underway. He also hosts regular office hours that are free to anyone on his team to demo new ideas, with the only parameter being that they must show him the code. Visa works with a wide variety of AI LLMs, including OpenAI, Anthropic's Claude, Google, and open-source language models from IBM, Meta, and Mistral AI. Taneja says his team aims to match the best large language models for the solutions for software development, building risk models, and agentic workflows to perform workplace tasks autonomously. Taneja says he's very open minded on the AI providers Visa works with, wanting to avoid vendor lock in. He prioritizes models that he feels are transparent, that put effort into fairness, and that give Visa the control to fine tune the models for the company's needs. Hallucination rates are also an important factor in how he distinguishes between models. 'It's only been two years now,' says Taneja of generative AI's boom. 'It is a toddler in terms of the life cycle of what these models will be.' John Kell Send thoughts or suggestions to CIO Intelligence here. This story was originally featured on
Yahoo
31-01-2025
- Business
- Yahoo
Possible Bearish Signals With Visa Insiders Disposing Stock
In the last year, many Visa Inc. (NYSE:V) insiders sold a substantial stake in the company which may have sparked shareholders' attention. When analyzing insider transactions, it is usually more valuable to know whether insiders are buying versus knowing if they are selling, as the latter sends an ambiguous message. However, if numerous insiders are selling, shareholders should investigate more. Although we don't think shareholders should simply follow insider transactions, logic dictates you should pay some attention to whether insiders are buying or selling shares. Check out our latest analysis for Visa In the last twelve months, the biggest single sale by an insider was when the President of Technology, Rajat Taneja, sold US$11m worth of shares at a price of US$316 per share. That means that even when the share price was below the current price of US$343, an insider wanted to cash in some shares. When an insider sells below the current price, it suggests that they considered that lower price to be fair. That makes us wonder what they think of the (higher) recent valuation. However, while insider selling is sometimes discouraging, it's only a weak signal. It is worth noting that this sale was only 13% of Rajat Taneja's holding. Visa insiders didn't buy any shares over the last year. The chart below shows insider transactions (by companies and individuals) over the last year. If you want to know exactly who sold, for how much, and when, simply click on the graph below! If you are like me, then you will not want to miss this free list of small cap stocks that are not only being bought by insiders but also have attractive valuations. Over the last three months, we've seen significant insider selling at Visa. In total, President of Technology Rajat Taneja sold US$11m worth of shares in that time, and we didn't record any purchases whatsoever. This may suggest that some insiders think that the shares are not cheap. Many investors like to check how much of a company is owned by insiders. Usually, the higher the insider ownership, the more likely it is that insiders will be incentivised to build the company for the long term. Visa insiders own 0.04% of the company, currently worth about US$258m based on the recent share price. I like to see this level of insider ownership, because it increases the chances that management are thinking about the best interests of shareholders. An insider hasn't bought Visa stock in the last three months, but there was some selling. Looking to the last twelve months, our data doesn't show any insider buying. But it is good to see that Visa is growing earnings. The company boasts high insider ownership, but we're a little hesitant, given the history of share sales. So these insider transactions can help us build a thesis about the stock, but it's also worthwhile knowing the risks facing this company. At Simply Wall St, we found 1 warning sign for Visa that deserve your attention before buying any shares. Of course Visa may not be the best stock to buy. So you may wish to see this free collection of high quality companies. For the purposes of this article, insiders are those individuals who report their transactions to the relevant regulatory body. We currently account for open market transactions and private dispositions of direct interests only, but not derivative transactions or indirect interests. Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
