Intel CEO Lip-Bu Tan. Image: Intel Business/YouTube Intel will spin off assets that aren’t part of its core mission, according to Bloomberg. Intel CEO Lip-Bu Tan, who became CEO in mid-March after Pat Gelsinger took a heavily encouraged suggestion to retire, made the announcement on March 31 at the Intel Vision conference. Tan did not define the core business or which parts of the business would be affected. Intel will try to expand its core business using AI and Software 2.0, Tan said. Software 2.0 is a term about the way generative AI allows for coding without writing individual lines of code; instead, the technique, named by computer vision scientist Andrej Karpathy, uses natural language and an AI model. Software 2.0 has some similarities to “vibe coding,” although Software 2.0 encompasses more possible uses for generative AI. More must-read AI coverage Tan tries to turn Intel around as other semiconductor companies pull ahead in the AI boom Despite the AI boom, Intel was not lifted on the wave of demand for chips. Gelsinger’s departure and the state of the company under his last few years of leadership left the future uncertain for Intel. Some considered breaking up the company, according to Bloomberg. Intel rival Taiwan Semiconductor Manufacturing Company (TSMC) was in the running as a potential buyer, as was Broadcom. Splitting its interests between manufacturing or designing chips may have allowed other companies, like TSMC, to pull well ahead. NVIDIA also outweighs Intel in the fight to benefit from the AI boom. SEE: Arm Shocked the Semiconductor Industry by Announcing It May Sell Its Own Chips Tan’s leadership must involve some effort to regain Intel’s footing. His motto is “under-promise and over-deliver,” Tan said. He also said he would focus on recruiting quality engineering talent and boosting Intel’s chip foundry work. One of the few specifics Bloomberg noted from Tan was Intel may begin to launch a custom semiconductor service for customers. Tan previously served on Intel’s board of directors. He was CEO of Cadence Design Systems, where he negotiated design solutions and IP with Intel. Some of Intel’s factory-building is on hold Intel had planned to build two advanced semiconductor plants in Ohio. Those plans were delayed in late March due to misalignment with “the needs of our business and broader market demand,” said Intel Foundry Manufacturing executive vice president, chief global operations officer and general manager Naga Chandrasekaran. source

Business leaders know it’s crucial to use identity-driven customer data to make smart decisions. But often, they get stuck because they don’t have a unified view of their customers and prospects. That’s a recipe for poor business outcomes. The consequences of getting identity wrong are substantial: Poor data quality = missed insights, operational inefficiencies, and wasted marketing spend. Vendor lock-in and cost overruns = higher expenses with limited flexibility. Slow digital adoption = inability to activate customer data reliably at scale. Customers are engaging through multiple channels, yet 2024 Forrester Research reported that consumer perceptions of Customer Experience had dropped in three consecutive years to its lowest point ever.[i] CIOs face mounting pressure to optimize their data strategy, manage vendors effectively, and accelerate digital transformation. Identity resolution is central to all three, yet many organizations struggle with fragmented data, vendor management, and scalable identity solutions.  We share three common mistakes that hinder data strategies and how they can be fixed. 1. Underestimating the complexity of a customer data strategy Data siloed across platforms prevents unified customer profiles. Companies collect on average 100+ data points per consumer, with at least 22% becoming obsolete each year.[ii] Inaccurate data impacts AI models, personalization efforts, and decision-making. How CIOs can reduce complexity: Adopt a first-party identity graph that continuously resolves and updates customer data for accuracy. Bring customer consent into the graph building process to align with regulatory requirements.  The impact: Companies that effectively organize and manage the customer experience can realize a 20% improvement in customer satisfaction, a 15% increase in sales conversion, and a 30% lower cost-to-serve.[iii] 2. Relying on a single vendor Many identity solutions are bound within a single ecosystem, limiting expansion flexibility. Vendor lock-in risk has only increased with the migration to cloud, and it complicates AI adoption.[iv] How CIOs can fix vendor lock-in issues: Build a vendor- and data-agnostic identity framework that supports cloud architectures that allows for interoperability, flexibility, and user control. The impact: A flexible identity framework reduces vendor costs, aligns with regulatory requirements, minimizes data movement, and accelerates business outcomes. 3. Treating identity solely as an IT problem When organizations lack a unified identity resolution, they struggle to activate customer data efficiently. Data silos hinder digital transformation, according to 81% of IT leaders, and 95% say data integration issues are impeding AI adoption.[v] How CIOs can fix identity issues: Treat identity resolution as a core enabler of digital transformation to create value across all functions. Implement enterprise identity solutions that empower business users to activate and collaborate on customer data without delays. The impact: Organizations that integrate identity resolution into digital transformation see faster time-to-market and improved AI-driven insights. Identity strategy as a CIO growth lever Unless they can overcome siloed data problems, CIOs will struggle to unlock the value of their data, enable AI-powered insights, and truly understand their customers. Solutions such as LiveRamp’s Enterprise Identity framework unify customer data into a singular, actionable profile that enables precise targeting and personalization. The company utilizes advanced ML algorithms to construct an accurate view of the customer.  Build an actionable and measurable view of customers. Learn more here. i Jacques, Pete, “Customer Experience Quality In The US Falls To An All-Time Low,” June 17, 2024. Forrester Research. ii Maurici, Vinny, “Understanding the Phenomenon Also Known as Data Decay,” April 13, 2023, Dun & Bradstreet. iii Erlich, et al, “How the operating model can unlock the full power of customer experience,” June 28, 2022. McKinsey & Co. iv Rooney, Paula. “CIOs weigh the new economics and risks of cloud lock-in,” Dec. 14, 2023. CIO. v “85% of IT Leaders See AI Boosting Productivity, but Data Integration and Overwhelmed Teams Hinder Success,” January 23, 2024. Salesforce. source

By Jared Foretek ( April 1, 2025, 7:34 PM EDT) — A major wireless trade association is urging the Federal Communications Commission to drop National Environmental Policy Act requirements on certain wireless infrastructure deployments, saying that the “burdensome” “red tape” is hindering future wireless expansion, rather than facilitating it…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

Image credit: Creative Commons Developers have the opportunity to weigh in on OpenAI’s latest project. On March 31, the AI giant published applications for feedback sessions on an upcoming open language model, the second such model since OpenAI’s LLMs went private after GPT-2. It will be released “in the coming months,” according to a post on X by OpenAI CEO Sam Altman. Open-weight models can be modified by their users. In particular, “weights” in generative AI refers to the connections between digital neurons; changing them might change which concepts the model associates together or the emphasis put on those associations. In Altman’s post, he said the model currently in development will be a “reasoning” model like OpenAI o1. “We’ve been thinking about this for a long time but other priorities took precedence. now it feels important to do,” Altman said. Developers can comment on what they want from an open model Developers in San Francisco will be able to attend an OpenAI event “to gather feedback and later play with early prototypes” in a couple of weeks, he said. OpenAI will hold similar events in Europe and APAC; Altman did not disclose specific locations for those events. “Before release, we will evaluate this model according out our preparedness framework, like we would for any other model. and we will do extra work given that we know this model will be modified post-release,” Altman wrote. OpenAI’s feedback form OpenAI is soliciting feedback about the open model from developers, as well as researchers and anyone in the broader community. The application on OpenAI’s site asks interested developers to provide links to their GitHub profiles and social or professional profiles. It also asks what open models the applicant has used in the past, what they would want to see in an open-weight model from OpenAI, and what they would use it for. “We’re excited to collaborate with developers, researchers, and the broader community to gather inputs and make this model as useful as possible,” OpenAI wrote. SEE: xAI has acquired social media platform X for $45 billion, a consolidation of Elon Musk’s AI startup and the platform formally known as Twitter.  The definition of open source can be murky. One organization, the Open Source Initiative, defines open source AI as models that can be used for any purpose, modified in any way, studied to see how they arrived at their output, and shared with others. More must-read AI coverage Open models are a point of differentiation among AI giants As TechCrunch pointed out, OpenAI’s competitors have more recent examples of success with open models. Developers can download Llama AI model weights from Meta; DeepSeek opened its R1 and V3 models, including some of the model code. OpenAI may be banking on the idea that letting developers run the model themselves will give them a competitive edge in the increasingly crowded AI market. source

PM Ramdas explains that when executives understand the security implications of AI initiatives, they become strong advocates for balanced, secure implementation strategies. This proactive approach helps build a corporate culture where cybersecurity is viewed as an enabler of AI innovation rather than a hindrance. Trust in the age of Deepfake AI ‘Seeing is believing’ was an adage to live by, but in the era of undetectable, sophisticated deepfake fraud courtesy AI, this doesn’t quite ring true. Apart from public misinformation, organizations suffer massive impact to business, reputation and trust deficit if the evil side of AI runs unchecked. Rohit Singh speaks of their ‘AI vs AI’ mechanisms to stay ahead of scammers. “We counter AI-driven fraud with AI-powered detection tools that analyse micro-expressions, vocal tonality, and inconsistencies in digital communications to identify deepfake attempts in real time. We also employ adaptive authentication, such as liveness detection, contextual MFA, and real-time identity challenges, to thwart impersonation attempts.” source

Image: StackCommerce TL;DR: Get a three-year license to Adobe Photoshop Elements 2025 for just $100 — edit, enhance, and create stunning photos with pro-level results using AI-powered tools, no subscription required. If you’ve been waiting for a powerful photo editing tool that delivers both performance and affordability, Adobe Photoshop Elements 2025 could be your perfect match. For just $99.99, you can lock in three full years of creative freedom — no monthly payments, no ongoing fees, just one flat price for a powerhouse of visual editing tools. Whether you’re managing a brand, elevating your marketing visuals, or simply want better control over your image content, this software offers everything you need to work smarter and create faster. Designed with both professionals and aspiring creatives in mind, Photoshop Elements 2025 makes the process of editing images feel intuitive — thanks to Adobe’s AI-powered engine. Want to remove an object from a photo? Fix lighting? Add movement to your static images? It’s all possible with just a few clicks. What’s more, the addition of mobile and web-based beta apps extends your editing capabilities beyond your desktop. You can now sync and access your projects wherever you are, giving professionals the flexibility to make tweaks on the go — whether you’re on a set, in the office, or traveling for business. This version of Photoshop Elements also adds brand-new effects and templates, allowing for even more customization in how you present and share your work. From designing branded visuals for a startup to cleaning up e-commerce photos or building standout social content, it provides the control and quality professionals expect — without the commitment of an endless subscription. Even better, the included 59 guided edits function like your personal design coach, helping you grow your skills as you use the software. You’ll learn to create scroll-stopping effects, blend multiple images seamlessly, and take full advantage of smart editing tools — all within a clean, approachable interface. Get three years of Photoshop Elements 2025 while it’s available for just $99.99. StackSocial prices subject to change. source

At Hannover Messe 2025, Accenture and Siemens announced an extension of their strategic partnership in the form of the Accenture Siemens Business Group, an Accenture-based joint business unit that will employ 7,000 professionals with manufacturing and IT expertise worldwide. The group will develop software-defined products and factories, combining industrial technology with AI-supported engineering and manufacturing expertise. To achieve this, the group will leverage the Siemens Xcelerator portfolio for automation, industrial AI, and software, as well as Accenture’s data and AI expertise, to help companies redesign their engineering and manufacturing processes. Digitalization of manufacturing Roland Busch, president and CEO of Siemens AG, extolled the advantages of the partnership: “Two market leaders bring together their unique capabilities: technology, data access, and strong expertise in software, automation, and industrial AI — and Accenture’s strength, data, and AI in engineering and manufacturing.” source

I recently attended my first-ever Insider Summit (formerly the Insider Threat Summit) in Monterey, California. The event, in its ninth year, was attended by insider risk leaders, counterintelligence professionals, and current/former members of law enforcement and the US military. The heavy focus on people — not data or systems — was surprising to me. More specifically, there was an emphasis on addressing “the whole person” and focusing on employee wellness. This underscores for me that insider risk is very much a human problem, not a technology problem, which doesn’t mean that technology does not help address human problems but rather that technology can only identify — not prevent — the symptoms of a person who is headed down the critical path leading to an insider incident. As Dr. Amanda Najjar pointed out during her talk, “We are all capable of becoming insider threats.” Several speakers covered topics such as employee wellness and safety, which are key to reducing insider risk. Stressed users, after all, are risky users, as they are more likely to make mistakes, act maliciously, and succumb to external coercion. The impact of geopolitics and state actors was another prevalent topic. Insiders are a constant target of state actors, and the volatile geopolitical environment is increasing that risk. Nations are looking for ways to gain an advantage and to acquire valuable intellectual property, and they are aggressively targeting insiders in their pursuits. One topic in particular caught me off guard: suicide. One of the speakers, Dr. Deanna Caputo of MITRE, discussed suicide and the insider risk team’s ability to identify users at risk of suicide. She made the point that “suicide is an insider threat” because of its impact not only on the individual but the whole organization. While the insider risk team isn’t directly responsible for monitoring for mental health or suicide risk, the tools and techniques that insider risk pros use might be useful for picking up clues that certain users are at risk or may be at risk of external adversaries targeting them. My own talk focused on how insider risk and data security can work more closely together to guard against insider data exfiltration. Forrester Principal Analyst Heidi Shey and I codeveloped this approach for last year’s Security & Risk Summit. While insider risk teams focus on detecting and investigating insider incidents, data security teams focus on preventing data breaches. When the two teams collaborate, they can share information about the data at risk, the riskiness of individual users, and how insiders are trying to exfiltrate data. This “data intelligence cycle” creates a continuous feedback loop where insider risk and data security pros learn from each other and collaborate to stop data exfiltration. Heidi and I plan to publish this research later in the year. Let’s Connect Forrester clients can schedule an inquiry or guidance session with me to do a deeper dive on insider risk and learn how to start their own insider risk management program. source

By Bonnie Eslinger ( April 1, 2025, 11:21 PM EDT) — Tesla urged the Delaware Supreme Court on Tuesday to slash a $176 million attorney fee award granted as part of an excessive director compensation suit settlement, saying it amounts to a “windfall in a case that settled well before trial and after three years of only tepid litigation.”… Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source

By Nadia Dreid ( April 1, 2025, 9:12 PM EDT) — Chinese-Americans have been receiving calls from bad actors attempting to line their own pockets by posing as insurance company employees and government officials in order to get personal information or cash payments, the FCC is warning…. Law360 is on it, so you are, too. A Law360 subscription puts you at the center of fast-moving legal issues, trends and developments so you can act with speed and confidence. Over 200 articles are published daily across more than 60 topics, industries, practice areas and jurisdictions. A Law360 subscription includes features such as Daily newsletters Expert analysis Mobile app Advanced search Judge information Real-time alerts 450K+ searchable archived articles And more! Experience Law360 today with a free 7-day trial. source