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Microsoft CEO Satya Nadella has warned about the "reverse information paradox," in which companies risk losing control of proprietary data when using AI. Nadella has advised businesses to create a "trust boundary" by controlling AI evaluations, retaining ownership of feedback and building internal learning environments. "A company should be able to use a model without giving up the knowledge that makes it unique," Nadella says.
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Struggling with manual QA? Reviewing 100% of interactions helps you reduce risk and find coaching opportunities at scale. Join our webinar on July 28 to learn executive-level metrics and practical ROI frameworks to secure stakeholder buy-in. Register now »
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Microsoft has warned enterprise customers to expect more Windows patches at a faster pace because of the growing use of AI to find and exploit security defects. Microsoft has recommended that companies defer quality updates by less than three days, begin enforcement on release day or the next day and allow users at most two additional days.
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Samsung's System LSI Business is developing a 4-nanometer chip, known as GAIA, to accelerate AI workloads in PCs, with prototypes already sent to Lenovo and HP, according to industry reports. The chip features a neural processing unit optimized for generative AI and could be combined with processing-in-memory technology for efficiency. Mass production is targeted for 2027 as Samsung aims to re-enter the PC processor market, competing with Nvidia, Qualcomm and Intel.
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Memory chip shortages and rising hardware prices are forcing CIOs to get creative as budgets tighten. To adapt, leaders like ETS CIO Steve Santana have extended device refresh cycles from four to six years and are exploring strategies like operating system refreshes to prolong device lifespans. Despite the sharp price increases from major manufacturers, some organizations are mitigating the impact by leveraging cloud services and making strategic hardware purchases in advance.
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2026 will usher in a new era for cybersecurity. Get forward-looking insights to plan for the year ahead and defend against AI-driven threats. Download the forecast »
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A misconfigured Python web server exposed three Microsoft 365 phishing campaigns using custom Evilginx proxies, as discovered by French security firm Lexfo. The campaigns, primarily targeting corporate mailboxes, employed different methods to bypass multifactor authentication: one by proxying live logins and another by exploiting Microsoft's OAuth device code flow.
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Apple says AI is responsible for shifting its iOS update strategy, in order to keep pace with security threats, as seen in the recent release of iOS 26.5.2, which addressed numerous vulnerabilities found via AI. Apple is mirroring other major tech companies, such as Microsoft and Google, but the increased patching velocity is posing challenges for organizations, particularly those with bring-your-own-device policies.
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The semiconductor industry faces a major workforce challenge, with 67,000 technical jobs projected to go unfilled by 2030. Historical training methods, such as those used by Texas Instruments and Motorola in the 1970s, may no longer be sufficient given the advanced skills required in modern plants. The National Semiconductor Technology Center's Workforce Center of Excellence is developing training solutions, but it remains unclear whether these efforts will meet demand quickly enough.
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Product discovery has shifted to AI platforms like ChatGPT and Copilot. Human-centric copy is no longer sufficient. Join our July 23 webinar to audit your catalog health and enrich data at scale without tech stack disruption. Register now »
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