Latest news with #HFSResearch
Business Upturn
5 days ago
- Business
- Business Upturn
Infosys launches Agentic AI Foundry under Topaz to accelerate enterprise AI transformation
By Aditya Bhagchandani Published on May 28, 2025, 16:19 IST Infosys on Wednesday announced the launch of its Agentic AI Foundry, part of its Topaz™ platform, aimed at helping enterprises develop and deploy AI agents at scale. The solution is designed to support reliable, production-grade AI agents across business operations, IT, and customer ecosystems. The Foundry brings together a library of reusable components and pre-built agents, both horizontal and industry-specific, to simplify AI adoption. It enables enterprises to customize and integrate these agents across in-house or third-party platforms, avoiding vendor lock-in and supporting a future-ready, ethical AI architecture. 'At Infosys, we believe the future of innovation lies in harnessing the power of AI responsibly and effectively. Infosys Agentic AI Foundry is a game-changer in enterprise transformation,' said Balakrishna D. R. (Bali), EVP and Global Services Head, AI and Industry Verticals at Infosys. For instance, the company has deployed a multi-agent invoice automation solution in its finance team, improving productivity by over 50% and delivering significant cost savings. 'The line between human capabilities and AI-powered software is rapidly blurring. Infosys' approach to Agentic AI is a critical move to support enterprises under pressure to embed these capabilities into their experiences,' added Phil Fersht, CEO of HFS Research. Infosys also cited deployments at client organizations, such as a deep research agent reducing support resolution times by 50% and AI-powered audit agents enhancing financial record integrity. The initiative aligns with Infosys' broader AI-first approach, promising cost efficiency, innovation, and seamless adoption of evolving AI technologies. Aditya Bhagchandani serves as the Senior Editor and Writer at Business Upturn, where he leads coverage across the Business, Finance, Corporate, and Stock Market segments. With a keen eye for detail and a commitment to journalistic integrity, he not only contributes insightful articles but also oversees editorial direction for the reporting team.
Yahoo
21-05-2025
- Business
- Yahoo
AI Revolutionizes Non-Bank Mortgage Lending: Insights from HFS Research and Cognizant
New study highlights how 2025 will be a turning point as technology redefines experience, operations, and value across the mortgage lifecycle. Key Findings: 74% of non-bank lenders are betting on innovation to drive differentiation, while only 21% believe they are leading the pack—revealing a significant gap and opportunity to innovate. Agentic AI is becoming the next big play, merging GenAI's cognitive reasoning with automation's precision—ushering in task-fulfilling "agents" that scale beyond efficiency into execution. Only 51% of lenders feel fully prepared for compliance risk, with some receiving up to 1,700 regulatory alerts in 2024—25% with direct business impact. Demonstrating ROI is critical. Intelligent Document Processing (IDP) is winning over lenders for its fast returns—especially where paper still rules. Outsourcing is being redefined. Full-service partnerships are expected to rise from 30% to 42% by 2026, measured by growth outcomes instead of simply on cost. Automation will reach 68% of mortgage operations by 2026, signaling a shift from task-level wins to blending technology, human expertise, and continuous improvement into an intuitive tech-to-ops cycle in mortgage operations. NEW YORK, May 21, 2025 /PRNewswire/ -- In a rapidly evolving housing economy, non-bank mortgage lenders are facing a wake-up call. A new joint study by HFS Research and Cognizant, "Reinventing the Non-Bank Mortgage Lending Journey in the Age of AI," reveals an industry grappling with operational fatigue, regulatory pressure, and fast-moving tech disruptions—while a small but bold segment rewrites the mortgage playbook. Drawing insights from 257 non-bank lenders and ecosystem partners, the report delivers a sobering yet hopeful look at the next chapter for mortgage lending. From the emergence of Agentic AI to the reconfiguration of outsourcing strategies, lenders are being challenged to trade reactive cost-cutting for purposeful innovation. "The fundamentals of lending haven't changed—the loan is still a loan. What's changed is the speed, intelligence, and precision with which it's delivered. This is no longer just about access to capital—it's about how seamlessly, securely, and smartly capital flows through digital channels," says Saurabh Gupta, President, Research and Advisory Services, HFS Research. "The ones who go all-in—building digital-first, modular, and intelligent operations—will define the next era of mortgage lending. The rest? They risk being left behind." Powerful Data-Driven Insights: The research reveals that although 2025 is being eyed as a rebuild year, many lenders are stuck playing defense. As lending platforms modernize, access to mortgage capital is becoming faster, smarter, and more modular. Yet, only 21% of lenders consider themselves true innovators. The rest? They're either chasing parity or struggling to catch up. Compliance is also hitting a breaking point. One executive shared they received over 1,700 regulatory alerts last year—nearly one in four with direct business consequences. The result: compliance is now a 24/7 operation, and tech investment is the only scalable solution. Divya Iyer, Practice Leader, BFSI, HFS Research, adds, "We're seeing real momentum around Agentic AI—where GenAI meets the execution muscle of automation. But it's not the only force driving change. Technologies like IDP are bridging the gap in paper-heavy workflows, proving that meaningful transformation doesn't have to wait for full digital maturity." What Lenders Need to Do Next: Move beyond legacy constraints. 58% of lenders still can't support real-time integration—limiting data agility and delaying decision-making. Prioritize technology with measurable outcomes. Tools like IDP, AI underwriting, and cybersecurity are driving rapid ROI, while GenAI is expanding into core operations. Redefine outsourcing partnerships. Lenders must move beyond tactical cost-cutting to leverage partners for platform modernization, AI deployment, and full-service scalability. Focus on value creation—not just efficiency. The winners will blend automation, data platforms, and talent into a cohesive tech-to-ops cycle. "In the rapidly evolving landscape of non-bank mortgage lending, there is a critical need for innovation and agility," said Ajay Pandita, Senior Vice President and Financial Services, Fintech and Insurance Business Unit Leader, of Cognizant. "As we navigate through operational fatigue, regulatory pressures, and technological disruptions, it is imperative that we embrace purposeful innovation and redefine our strategies. The emergence of Agentic AI and IDP are just the beginning. By prioritizing technology with measurable outcomes and leveraging full-service partnerships, we can transform the mortgage lending journey and lead the industry into a new era of efficiency and value creation." Download the full report: Reinventing the Non-Bank Mortgage Lending Journey in the Age of AIReinventing non-bank mortgage lending journey in the age of AI - HFS Research About HFS ResearchHFS Research is a leading global research and advisory firm that helps Fortune 500 companies navigate IT and business transformation with fearless insights and actionable strategies. With unrivaled access to Global 2000 executives, HFS empowers organizations to make confident technology and service decisions that drive competitive advantage. For more information, visit About CognizantCognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at or @cognizant. Forward-Looking Statements This press release includes statements that may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties and assumptions as to future events that may not prove to be accurate. These statements include, but are not limited to, express or implied forward-looking statements relating to the adoption of generative and/or agentic artificial intelligence, the effects of such artificial intelligence on the mortgage lending industry and the competitive opportunities in the marketplace. These statements are neither promises nor guarantees but are the findings of the study discussed above and remain subject to a variety of risks and uncertainties, many of which are beyond Cognizant's control, which could cause actual results to differ materially from those contemplated in these forward-looking statements. Existing and prospective investors are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. Factors that could cause outcomes to differ materially from those expressed or implied include general economic conditions, the impact of technological development and competition, the competitive and rapidly changing nature of the markets Cognizant and its clients compete in, and the other factors discussed in Cognizant's most recent Annual Report on Form 10-K and other filings with the Securities and Exchange Commission. Cognizant undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required under applicable securities law. View original content to download multimedia: SOURCE HFS Research Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
21-05-2025
- Business
- Yahoo
AI Revolutionizes Non-Bank Mortgage Lending: Insights from HFS Research and Cognizant
New study highlights how 2025 will be a turning point as technology redefines experience, operations, and value across the mortgage lifecycle. Key Findings: 74% of non-bank lenders are betting on innovation to drive differentiation, while only 21% believe they are leading the pack—revealing a significant gap and opportunity to innovate. Agentic AI is becoming the next big play, merging GenAI's cognitive reasoning with automation's precision—ushering in task-fulfilling "agents" that scale beyond efficiency into execution. Only 51% of lenders feel fully prepared for compliance risk, with some receiving up to 1,700 regulatory alerts in 2024—25% with direct business impact. Demonstrating ROI is critical. Intelligent Document Processing (IDP) is winning over lenders for its fast returns—especially where paper still rules. Outsourcing is being redefined. Full-service partnerships are expected to rise from 30% to 42% by 2026, measured by growth outcomes instead of simply on cost. Automation will reach 68% of mortgage operations by 2026, signaling a shift from task-level wins to blending technology, human expertise, and continuous improvement into an intuitive tech-to-ops cycle in mortgage operations. NEW YORK, May 21, 2025 /PRNewswire/ -- In a rapidly evolving housing economy, non-bank mortgage lenders are facing a wake-up call. A new joint study by HFS Research and Cognizant, "Reinventing the Non-Bank Mortgage Lending Journey in the Age of AI," reveals an industry grappling with operational fatigue, regulatory pressure, and fast-moving tech disruptions—while a small but bold segment rewrites the mortgage playbook. Drawing insights from 257 non-bank lenders and ecosystem partners, the report delivers a sobering yet hopeful look at the next chapter for mortgage lending. From the emergence of Agentic AI to the reconfiguration of outsourcing strategies, lenders are being challenged to trade reactive cost-cutting for purposeful innovation. "The fundamentals of lending haven't changed—the loan is still a loan. What's changed is the speed, intelligence, and precision with which it's delivered. This is no longer just about access to capital—it's about how seamlessly, securely, and smartly capital flows through digital channels," says Saurabh Gupta, President, Research and Advisory Services, HFS Research. "The ones who go all-in—building digital-first, modular, and intelligent operations—will define the next era of mortgage lending. The rest? They risk being left behind." Powerful Data-Driven Insights: The research reveals that although 2025 is being eyed as a rebuild year, many lenders are stuck playing defense. As lending platforms modernize, access to mortgage capital is becoming faster, smarter, and more modular. Yet, only 21% of lenders consider themselves true innovators. The rest? They're either chasing parity or struggling to catch up. Compliance is also hitting a breaking point. One executive shared they received over 1,700 regulatory alerts last year—nearly one in four with direct business consequences. The result: compliance is now a 24/7 operation, and tech investment is the only scalable solution. Divya Iyer, Practice Leader, BFSI, HFS Research, adds, "We're seeing real momentum around Agentic AI—where GenAI meets the execution muscle of automation. But it's not the only force driving change. Technologies like IDP are bridging the gap in paper-heavy workflows, proving that meaningful transformation doesn't have to wait for full digital maturity." What Lenders Need to Do Next: Move beyond legacy constraints. 58% of lenders still can't support real-time integration—limiting data agility and delaying decision-making. Prioritize technology with measurable outcomes. Tools like IDP, AI underwriting, and cybersecurity are driving rapid ROI, while GenAI is expanding into core operations. Redefine outsourcing partnerships. Lenders must move beyond tactical cost-cutting to leverage partners for platform modernization, AI deployment, and full-service scalability. Focus on value creation—not just efficiency. The winners will blend automation, data platforms, and talent into a cohesive tech-to-ops cycle. "In the rapidly evolving landscape of non-bank mortgage lending, there is a critical need for innovation and agility," said Ajay Pandita, Senior Vice President and Financial Services, Fintech and Insurance Business Unit Leader, of Cognizant. "As we navigate through operational fatigue, regulatory pressures, and technological disruptions, it is imperative that we embrace purposeful innovation and redefine our strategies. The emergence of Agentic AI and IDP are just the beginning. By prioritizing technology with measurable outcomes and leveraging full-service partnerships, we can transform the mortgage lending journey and lead the industry into a new era of efficiency and value creation." Download the full report: Reinventing the Non-Bank Mortgage Lending Journey in the Age of AIReinventing non-bank mortgage lending journey in the age of AI - HFS Research About HFS ResearchHFS Research is a leading global research and advisory firm that helps Fortune 500 companies navigate IT and business transformation with fearless insights and actionable strategies. With unrivaled access to Global 2000 executives, HFS empowers organizations to make confident technology and service decisions that drive competitive advantage. For more information, visit About CognizantCognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at or @cognizant. Forward-Looking Statements This press release includes statements that may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties and assumptions as to future events that may not prove to be accurate. These statements include, but are not limited to, express or implied forward-looking statements relating to the adoption of generative and/or agentic artificial intelligence, the effects of such artificial intelligence on the mortgage lending industry and the competitive opportunities in the marketplace. These statements are neither promises nor guarantees but are the findings of the study discussed above and remain subject to a variety of risks and uncertainties, many of which are beyond Cognizant's control, which could cause actual results to differ materially from those contemplated in these forward-looking statements. Existing and prospective investors are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. Factors that could cause outcomes to differ materially from those expressed or implied include general economic conditions, the impact of technological development and competition, the competitive and rapidly changing nature of the markets Cognizant and its clients compete in, and the other factors discussed in Cognizant's most recent Annual Report on Form 10-K and other filings with the Securities and Exchange Commission. Cognizant undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required under applicable securities law. View original content to download multimedia: SOURCE HFS Research
Yahoo
13-05-2025
- Business
- Yahoo
Enterprises eye AI assistants to modernize systems
This story was originally published on CIO Dive. To receive daily news and insights, subscribe to our free daily CIO Dive newsletter. Enterprises are turning to generative AI tools to drive modernization and cut through technical debt, according to Publicis Sapient. The digital consulting firm commissioned HFS Research to survey more than 600 IT and business leaders for a report published Thursday. Four in 5 respondents expect generative AI coding assistants to help them break free from managing outdated systems by documenting legacy applications, rewriting old code and automating software testing, the report found. Technical debt is an expensive headache, accounting for $1.5 trillion to $2 trillion in spending among Global 2000 companies, according to HFS Research. 'Tech debt isn't just a weight — it's a ticking time bomb that's threatening the future of global enterprises,' the firm's Chief Analyst and CEO Phil Fersht said in the report. As coding assistants rose to the top of a heap of generative AI use cases with ROI potential, vendors mobilized to deploy tools trained to decipher and refactor decades-old applications. IBM taught watsonx more than 100 programming languages and trained its open model to translate COBOL applications into Java. AWS trained its AI assistant, Amazon Q Developer, to build applications and set the tool loose on mainframe modernization last year. As cloud and enterprise software vendors rolled out similar capabilities, banking became a proving ground for the technology, according to Accenture. Goldman Sachs saw its army of 12,000 developers achieve efficiency gains of roughly 20% with GitHub Copilot, the company's CIO Marco Argenti told CIO Dive last month. Bank of America and Citigroup saw similar returns on AI investments. Enterprises across industries can cut years off of modernization initiatives by harnessing the technology, according to Sheldon Monteiro, Publicis Sapient EVP and chief product officer. 'AI really is a jackhammer,' Monteiro said in an interview. 'CIOs need to be thinking about this in terms of some pretty major concrete breaking.' Publicis Sapient inked a five-year partnership with AWS to build AI-powered modernization tools in March. In addition to leveraging the hyperscaler's cloud-based services, the alliance aims to expand the reach of the Sapient Slingshot software development platform. The modernization opportunities are vast, according to HFS Research. A $1.5 trillion IT industry has grown up around servicing rather than eliminating technical debt, the firm estimates. Enterprises spend an average of nearly 30% of IT budgets maintaining legacy technologies, the report found. Yet, fewer than one-third of respondents said their organization has modernized core applications. 'Something's broken in the way clients are buying IT services and the way the service industry has been incentivized,' Monteiro said, pointing to a tendency to see staff augmentation as a means of containing technical debt. Monteiro added, 'If modernization is going to take 10 years to complete, what CIO is going to look at that with any sense that it can get done within their tenure?' Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
08-05-2025
- Business
- Forbes
How AI Can Demolish Tech Debt
getty This is the published version of Forbes' CIO newsletter, which offers the latest news for chief innovation officers and other technology-focused leaders. Click here to get it delivered to your inbox every Thursday. As CIOs know, tech debt will keep piling on until it's taken care of. Estimates from HFS Research indicate Forbes Global 2000 companies are carrying $1.5 trillion to $2 trillion worth of tech debt. But bringing AI into the workplace, HFS and Publicis Sapient say in a new report, has the potential to eradicate that tech debt and get enterprises to modernize. The report calls AI the jackhammer that can smash through tech debt, and highlights a path for companies to use AI to fully modernize—something 80% of surveyed leaders believe it can do. 'Enterprises need to stop tinkering with outdated models and start smashing through the barriers holding them back,' HFS Research CEO and Chief Analyst Phil Fersht said in a release. 'This is the moment to rewrite the rules of modernization, and those who don't act decisively risk being left behind in the dust.' The study shows that only three in 10 enterprises feel they have 'fully modernized' their IT applications—nearly the same amount that say they are 'legacy-heavy' (25%) or at risk of obsolescence (4%). About half of the survey respondents said that they're looking to move to AI because existing IT services mostly just maintain these legacy systems. And even though it may seem like every company is already using AI, the study reiterates that it isn't the case. Just 22% of companies said they are actively scaling AI across multiple IT functions. A third are experimenting with AI in select functions now, while 27% are exploring AI in IT, but not yet implementing it. The study recommends that an enterprise's AI transition does away with siloed data and information, instead bringing everything together in a connected value chain that all departments can access. Governance should be built into the foundation through functions like automated controls and real-time monitoring, breaking from traditional steering committees and policy hierarchies. AI stewardship should also be a part of everyone's job description now, the report recommends. People can focus on using AI to complete tasks and pull information, which will make their workflow more efficient and outcomes more effective. Through making information flow more freely and giving more people the responsibility to work with it, the system is much more likely to adapt alongside technology, reducing the possibility of future tech debt issues. Protecting data and advancing cybersecurity isn't just the CIO's responsibility. CFOs also should be a resource here, especially since the data is often used for projections and forecasts—and breaches can be incredibly expensive. I talked to Abhesh Kumar, chief technology officer at financial advisory firm Springline Advisory, about how CIOs and CFOs can come together. An excerpt from our conversation is later in this newsletter. The days of Google's dominance on Apple devices may be waning, an Apple exec testified in court this week. Eddy Cue, senior vice president of Apple's services unit overseeing the App Store and Safari browser, said that the company is 'actively looking' to add AI-powered search options to Safari, though Cue added he believes Google should remain the default search option. The testimony, which was part of the federal government's ongoing antitrust case against Google, led to a 7.5% drop in the company's stock on Wednesday. It recovered a bit on Thursday, but Google's stock is still more than 5% down this week. This testimony really shouldn't be a surprise to investors. Most big tech companies—especially Apple, Google, Microsoft and Meta—have spent the last year in regulators' crosshairs in both the U.S. and EU. Antitrust litigation in the U.S. and the EU's Digital Markets Act, which aims to level the playing field for companies in the tech space, have been pushing Big Tech to reevaluate their policies that push users into preferred providers for app downloads, web browsing and search, and utility applications. Wednesday's testimony was part of ongoing hearings for U.S. courts to figure out an appropriate remedy after a ruling last year that Google has an illegal monopoly on search. Photo Illustration by Sheldon Cooper/SOPA Images/LightRocket via Getty Images OpenAI has reportedly reached a deal to buy vibe coding platform Windsurf for $3 billion, which would be the generative AI powerhouse's largest deal yet, writes Forbes contributor John Werner. Windsurf has an AI-powered tool that lets users use regular language to describe what they want a system to do, and Windsurf writes appropriate code. It's a powerful tool for code development, but Werner points out that Windsurf also has a specific focus on hardware, with a priority on developing custom AI chips and server clusters. The deal has not yet closed, according to Bloomberg, which broke the story. getty President Donald Trump passed 100 days in office for his second term last week, and a group of cybersecurity leaders and experts talked about what that meant at last week's RSAC 2025 conference, writes Forbes senior contributor Tony Bradley. The top takeaway: It isn't good. While Trump has said he wants to put in place policies to help U.S. tech companies continue to be global leaders, panelists said his focus on drastically cutting the federal workforce and undoing many of his predecessor Joe Biden's policies have undermined progress. Jen Easterly, former director of the Cybersecurity and Infrastructure Security Agency, said the loss of tech talent at government agencies damages cybersecurity readiness. Trump tends to prioritize loyalty above skill, which panelists said erodes morale and independence of federal cybersecurity functions—and makes other nations reluctant to share information about threats. 'We built trust and catalyzed trust and collaboration, and we did it with integrity, we did it with humility, we did it with transparency, and we did it with character. And that's what you all should demand from your government,' Easterly said. Springline Advisory CTO Abhesh Kumar. Springline Advisory In today's business world, data and cybersecurity threats are always multiplying. Abhesh Kumar, chief technology officer of accounting at financial advisory firm Springline Advisory, sees one way to strengthen both a company's use and understanding of data and its security: Having finance and data or technology leaders work together on it. I talked to him about why this is an important partnership and how to make it work. This conversation has been edited for length, clarity and continuity. It was also excerpted in the Forbes CFO newsletter. A longer version is available here. What do you see as some of the biggest hazards in a company in terms of safeguarding their data? Kumar: The short answer, the absolute biggest risk is lack of shared accountability, which arises from lack of shared visibility. But let me elaborate a little bit. We need to view the risk in the context of the fast-evolving threat landscape. So you've got different data assets—whether it's financial data, strategic data, client data, employee data. Unfortunately, most organizations are operating in silos. That means CFOs do not really have full visibility on where the data lies, and they have not really incorporated protecting them or taking any cybersecurity measures as part of their financial risk management. Because of this disconnect, and generally how the CIOs or CTOs and CFOs collaborate, this leads to the presence and increasing expansion of shadow data: Nobody knows where the data is or what kind of data it is, or how it can be tracked back to some of the crown jewels. The increasing diversity of data assets; the emerging sophistication of hackers; and the lack of proactive, collaborative, culturally driven operating models between the CTOs and [CFOs], they all contribute to the explosion in the risk exposure. When you look at cybersecurity threats, they're always changing, with bad actors finding new ways to try to get into data, get into systems, that sort of thing. How does collaboration help, not just for now but for the future? It's always a game of who stays one step ahead of the other. If we are going to take them in isolation and one by one, there will be cases where the attackers will win and the defenders will lose. Where there is joint accountability, when parties—especially senior leaders like CTOs and CFOs—have a good understanding of the threat landscape, they also understand where the data resides, what is the risk exposure, it automatically heightens their preparedness and approach toward proactively putting in place a set of mechanisms to guard that data. This automatically reduces your threat exposure by a lot. Some of these provisions can be technology-based: You could have a NIST-based security assessment, you could have penetration testing, you could have parameter scanning, you could have advanced edge computing-based security. Some of these are technology, some of these have to do with human capital, where there's sponsorship and initiative to build that knowledge. A lot of these hackers find humans as the most vulnerable and easy way to hack the system, so enabling that human capital to be a robust wall in front of these attacks is important. Third is the general culture of being cybersecurity aware, and practice simple things, like locking computers when you're walking away even two minutes away from your desk, do not use public WiFi if you are working on sensitive strategic data files. A culture where parties see the leaders leading by example, and then they emulate it. What advice would you give to a CIO to start working with their CFO? The CIOs have to step up from playing an operational role to a more strategic role. Instead of just putting down the nails and the locks around the place and securing it, they have to elevate the articulation of the problem at the strategic level where it can be communicated to the board: What is the overall risk impact? They almost have to take on a risk manager role from a cybersecurity perspective, and not just be the operator of those security mechanisms. We need to be able to tell a good story: If you don't do this, these are the things that could go wrong, and this is going to cost you in the dollar terms, and have that communication with the board. This is part of stepping up and expanding their point of view from being just a technology or internal service provider to a stakeholder in the business. It's not just about, 'Tell me your data and I'll put it in a vault and secure it,' but 'Help me understand your business and let me be a partner in delivering the business outcome that you're intending [for] your shareholders, the board and other stakeholders.' As generative AI becomes more of a force in everyday life online, companies need to develop strategies for generative engine operation—GEO—that rival what they've had in place for SEO. Here are some ways to start making AI more likely to cite your pages. It's important for leaders to connect with their teams, and if you're having trouble doing that, the underlying reason could be that you don't truly know yourself. Here's how to realign your leadership based on the 3D method—aligning efforts across yourself, your team and the world—and get a better understanding of yourself and your experience. Web applications come and go—even the ones that were once vital to us. Which of these once-indispensable applications sunset this week? A. ICQ B. Vine C. Skype D. Napster See if you got the answer right here.
