Latest news with #PhilFersht
Channel Post MEA
3 days ago
- Business
- Channel Post MEA
Infosys Launches Agentic AI Foundry
Infosys has announced the launch of Infosys Agentic AI Foundry, a comprehensive solution designed to accelerate the development and deployment of reliable production-grade AI agents. The Agentic AI Foundry, part of Infosys Topaz™, provides enterprises a strategic roadmap to adopt AI agents responsibly and ethically, while ensuring a future-ready architecture that accommodates advancements in AI technology. It enables seamless integration of AI agents across business, operations, and IT ecosystems, driving faster decisions, improved customer experiences, and higher operational efficiency. Infosys Agentic AI Foundry brings together a comprehensive collection of reusable components, including a growing repository of pre-built horizontal and vertical agents, that will enable organizations to discover, shortlist, develop, deploy, monitor, and measure AI-driven initiatives effectively. Enterprises will be able to integrate these agents into any in-house or third-party platforms, ensuring accelerated implementation of AI solutions. The Agentic AI Foundry also allows organizations to build agents and customize pre-built agents to be adopted in their enterprise context. With an open architecture that avoids technology lock-in, the Foundry provides a clear and ethical pathway for enterprises to adopt AI while staying future-ready for advancements in the field. Additionally, its interoperability and cost-efficiency make it a sustainable investment for enterprises looking to scale their AI capabilities responsibly. Infosys Agentic AI Foundry will aim to transform enterprises across industries, enabling them to take business critical decisions and helping them increase productivity exponentially. For a technology major, Infosys deployed a continuous learning deep research agent that delivers comprehensive product insights in seconds, reducing support resolution times by up to 50 percent and enhancing CSAT by 24 percent. Similarly, for a leading service company, the AI agents automated complex audit processes, including transaction sampling, document collection and review, enhancing financial record integrity. Infosys is embodying its AI-first approach by integrating Agentic AI into its own operations to drive efficiency, innovation, and cost-effectiveness. For example, the deployment of a multi-agent invoice automation solution within its finance team has streamlined processes by improving productivity by over 50 percent along with delivering significant cost savings and operational efficiency. Phil Fersht, Chief Executive Officer and Chief Analyst, HFS Research, said, 'The line between human capabilities and AI-powered software is rapidly blurring and its impact on IT and business services is going to be profound. Infosys' approach to Agentic AI is a critical move to support enterprises under increasing pressure to embed these capabilities into their employee and customer experiences.' Balakrishna D. R. (Bali), Executive Vice President, Global Services Head, AI and Industry Verticals, Infosys, said, '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, providing a clear, ethical, and future-ready pathway to harness AI's full potential. By seamlessly integrating AI agents across ecosystems, we are enabling businesses to innovate faster, operate smarter, and lead with purpose in an evolving digital world.' 0 0
Cision Canada
5 days ago
- Business
- Cision Canada
Infosys Launches Agentic AI Foundry, Part of Infosys Topaz™, to Accelerate Enterprise AI Journey
Tailored to develop and deploy enterprise AI agents at scale, the Foundry aims to transform businesses with reliable and responsible innovation BENGALURU, India, May 28, 2025 /CNW/ -- Infosys (NSE: INFY) (BSE: INFY) (NYSE: INFY), a global leader in next-generation digital services and consulting, today announced the launch of Infosys Agentic AI Foundry, a comprehensive solution designed to accelerate the development and deployment of reliable production-grade AI agents. The Agentic AI Foundry, part of Infosys Topaz™, provides enterprises a strategic roadmap to adopt AI agents responsibly and ethically, while ensuring a future-ready architecture that accommodates advancements in AI technology. It enables seamless integration of AI agents across business, operations, and IT ecosystems, driving faster decisions, improved customer experiences, and higher operational efficiency. Infosys Agentic AI Foundry brings together a comprehensive collection of reusable components, including a growing repository of pre-built horizontal and vertical agents, that will enable organizations to discover, shortlist, develop, deploy, monitor, and measure AI-driven initiatives effectively. Enterprises will be able to integrate these agents into any in-house or third-party platforms, ensuring accelerated implementation of AI solutions. The Agentic AI Foundry also allows organizations to build agents and customize pre-built agents to be adopted in their enterprise context. With an open architecture that avoids technology lock-in, the Foundry provides a clear and ethical pathway for enterprises to adopt AI while staying future-ready for advancements in the field. Additionally, its interoperability and cost-efficiency make it a sustainable investment for enterprises looking to scale their AI capabilities responsibly. Infosys Agentic AI Foundry will aim to transform enterprises across industries, enabling them to take business critical decisions and helping them increase productivity exponentially. For a technology major, Infosys deployed a continuous learning deep research agent that delivers comprehensive product insights in seconds, reducing support resolution times by up to 50 percent and enhancing CSAT by 24 percent. Similarly, for a leading service company, the AI agents automated complex audit processes, including transaction sampling, document collection and review, enhancing financial record integrity. Infosys is embodying its AI-first approach by integrating Agentic AI into its own operations to drive efficiency, innovation, and cost-effectiveness. For example, the deployment of a multi-agent invoice automation solution within its finance team has streamlined processes by improving productivity by over 50 percent along with delivering significant cost savings and operational efficiency. Phil Fersht, Chief Executive Officer and Chief Analyst, HFS Research, said, "The line between human capabilities and AI-powered software is rapidly blurring and its impact on IT and business services is going to be profound. Infosys' approach to Agentic AI is a critical move to support enterprises under increasing pressure to embed these capabilities into their employee and customer experiences." Balakrishna D. R. (Bali), Executive Vice President, Global Services Head, AI and Industry Verticals, Infosys, said, "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, providing a clear, ethical, and future-ready pathway to harness AI's full potential. By seamlessly integrating AI agents across ecosystems, we are enabling businesses to innovate faster, operate smarter, and lead with purpose in an evolving digital world." About Infosys Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next. Safe Harbor Certain statements in this release concerning our future growth prospects, or our future financial or operating performance, are forward-looking statements intended to qualify for the 'safe harbor' under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause actual results or outcomes to differ materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding the execution of our business strategy, increased competition for talent, our ability to attract and retain personnel, increase in wages, investments to reskill our employees, our ability to effectively implement a hybrid work model, economic uncertainties and geo-political situations, technological disruptions and innovations such as Generative AI, the complex and evolving regulatory landscape including immigration regulation changes, our ESG vision, our capital allocation policy and expectations concerning our market position, future operations, margins, profitability, liquidity, capital resources, our corporate actions including acquisitions, and cybersecurity matters. Important factors that may cause actual results or outcomes to differ from those implied by the forward-looking statements are discussed in more detail in our US Securities and Exchange Commission filings including our Annual Report on Form 20-F for the fiscal year ended March 31, 2024. These filings are available at Infosys may, from time to time, make additional written and oral forward-looking statements, including statements contained in the Company's filings with the Securities and Exchange Commission and our reports to shareholders. The Company does not undertake to update any forward-looking statements that may be made from time to time by or on behalf of the Company unless it is required by law.
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
Mint
12-05-2025
- Business
- Mint
BPO companies can better navigate Gen AI, macro uncertainty than IT cos
Pure-play business process service providers, including Firstsource Solutions Ltd, Genpact Ltd, WNS (Holdings) Ltd, and ExlService Holdings Inc., are expected to be better at navigating GenAI and macroeconomic uncertainty, according to management and analysts. This is partly due to the nature of BPO companies' work, which does not depend on clients' non-essential expenditure to earn revenue. At least one expert said BPO companies could make use of the AI-led transformation. 'BPO firms are very well placed to exploit AI models as they are all about the process and data. The struggle the IT-centric firms have is that they are too restricted to IT-only relationships, when the core driver of GenAI and agentic is coming from the business functions," said Phil Fersht, chief executive of HFS Research, a US-based global research and advisory firm. Billionaire Sanjiv Goenka-owned Firstsource ended the January-March period with $250 million in revenue, up 0.4% sequentially. This gives it a run rate of $1 billion; that is, if the Mumbai-based company gets at least $250 million in the rest of the four quarters, it will get a revenue of at least $1 billion. The company reported $944 million in revenue for the year ended March 2025, up 23.4% on a yearly basis. This puts it in the league of mid-cap companies that have reported double-digit growth. At least four companies earning annual revenue between $1 billion and $5 billion have reported double-digit growth for the fiscal year. Also Read: How a US tech giant's AI ambitions came to be Indian IT's bugbear Firstsource's growth comes at a time when AI is expected to eat up the revenue of BPO companies. Simply put, BPO companies provide customer support to clients. This work is expected to be automated, which would translate to lower billing rates for executives and, therefore, lower revenue. Pressures on BPOs The company's management said it can also withstand macroeconomic conditions better than its larger peers because it is not dependent on clients' non-essential expenditure or much of its revenue. 'One of the things that I think is important to bear in mind is that the traditional BPM businesses do not have the same kind of discretionary pressures as the IT services side has," said Ritesh Idnani, chief executive of Firstsource, during the company's post-earnings interaction with analysts on 28 April. Idnani added that 'a substantial part of our business is annuity recurring business of which we have greater visibility." He said that Firstsource was better poised than its larger peers to overcome the double whammy of Gen AI and macroeconomic uncertainty. 'At a billion-dollar revenue run-rate, we believe we are at the right scale to be the disruptor. We are large enough to drive a significant impact for our clients, yet agile enough to innovate rapidly. Unlike our larger peers, we are not restrained by excessive bureaucracy or legacy operations, allowing us to proactively capitalize on AI-driven advancements and emerging industry shifts," said Idnani. At least one expert explained the management's stance. 'At US $1 billion revenue run rate, FirstSource believes that it is getting the best of both worlds in the sense that it is neither too small to be not invited to deals nor is it too large to be weighed down by legacy projects. It can act as a disruptor to larger incumbents," said Girish Pai, head of equity research at Bank of Baroda Capital Markets, on 29 April. Hearteningly, for Firstsource investors, the company is expecting growth between 12% and 15% for FY26 in constant currency terms. Order book Behind Firstsource's positive outlook is its healthy order book. In FY25, Firstsource bagged 14 large deals, five of which came in the fourth quarter and three each in the first three quarters. Any deal fetching upwards of $5 million in revenue annually is considered a large deal at Firstsource. The company's management attributed these large deals to domain expertise, automation, and AI. Growth was not limited to Firstsource. Larger peer Genpact ended December 2024 with $4.77 billion in revenue, up 6.5% on a yearly basis. The company expects to cross the $5 billion mark this year, expecting net revenues in the range of $4.862 billion to $5.005 billion, representing year-over-year constant currency growth of 1.9% to 4.9%. Also Read: Mid-cap outperform larger peers yet again, threaten to eat their lunch EXL also reported a 12.5% yearly growth in revenue to end December 2024 with $1.84 billion. Its revenue is expected to cross the $2 billion mark in 2025 as the company has outlined revenue between $2.035 billion and $2.065 billion, representing an increase of 11% to 13% on a constant currency basis. However, WNS reported a revenue decline of 0.6% on a yearly basis to $1.31 billion. Still, its management expects a revenue of at best $1.4 billion for the year ended March 2026. Genpact and EXL follow a January-December financial calendar, whereas Firstsource and WNS follow an April-March financial calendar. Double-digit growth for BPO companies comes at a time when the country's big five have struggled to grow due to macroeconomic uncertainty and a drought of big-ticket deals. Single-digit growth Tata Consultancy Services Ltd, Infosys Ltd, and HCL Technologies Ltd reported full-year growth of 3.78%, 3.85%, and 4.3%, respectively. Wipro Ltd and Tech Mahindra Ltd reported revenue declines of 2.72% and 0.21%, respectively. Even some of the country's mid-caps reported single-digit growth. LTIMindtree Ltd, the country's sixth-largest IT outsourcer, reported a 4.81% full-year growth, whereas the seventh-largest Mphasis Ltd reported 4.43% full-year growth. It is in this backdrop that BPO companies continue to do well. Still, Idnani said that companies would have to do much more than merely offer clients AI-led productivity benefits. 'The traditional labour-linked strengths like large-scale global delivery centres, optimized employee pyramid and shared services factories could become weaknesses. And just a token use of AI and automation for incremental productivity gains will not help. In our view, companies that will be able to pivot their entire business model to the new axis will be the net gainers from this shift. Thus, size will be a critical success factor. As past experiences show, both very large and sub-scale companies find it difficult to adapt to such transformative changes in the industry model," said Idnani. However, with more automation, headcount is expected to reduce. Still, Firstsource, EXL, WNS, and Genpact increased their headcount during the April-March 2025 period, ending with 34,651 employees, 60,652 employees, 64,505 employees, and 142,900 employees, respectively. Traditionally, IT service providers are billed for the number of hours their executives spend on client work. With AI-driven automation, clients are now looking to bill employees of IT services and BPO companies based on the business outcome rather than the number of hours they clock. Balance headcount, pricing HFS Research's Fersht said that companies need to maintain a balance. 'But this hypergrowth comes with high stakes. Scaling headcount while shifting to outcome-based pricing is a balancing act—one that introduces revenue unpredictability just as Firstsource is making massive bets on AI and workforce transformation. Clients love the concept, and many have declared they are ready to commit at scale. This is surely the calm before the storm when enterprise customers are ready to move on from the traditional BPO model," added Fersht. Also Read: GCCs prefer hiring leaders from peers than IT services companies A third expert said that BPO companies are leaning into AI more aggressively than their larger IT peers, as the new technology can impact their whole business model. 'They (BPO companies) know that AI is going to disrupt their business model and therefore they are leaning into it more aggressively than their IT services peers that are looking for revenue opportunities," said Peter Bendor-Samuel, founder of Everest Group. 'The more AI you put into a BPO company, the higher the profit potential for the service that comes out of those companies. AI has some cannibalization effect, but typically if you're ahead of your competitors, you're more than making up for that," said Bendor-Samuel.
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.
