AI

11 Cool Things Copilot Can Do in Excel

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Microsoft’s Copilot AI assistant in Excel is becoming increasingly useful for spreadsheet work. It can perform various actions, including cleaning up spreadsheets, creating new columns or rows, generating pivot tables, applying conditional formatting, and creating charts and graphs. Copilot can also explain formulas, create custom formulas, summarize spreadsheets, identify trends or unusual values, calculate hypothetical projections, and be embedded within cells for further functionality.

https://www.computerworld.com/article/4119411/11-cool-things-copilot-can-do-in-excel.html

Microsoft Copilot to Soon Get M365 Graph Integration for Smarter, More Personal Answers

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Microsoft Copilot is enhancing its AI capabilities with M365 Graph integration, allowing for more personalized, context-aware responses based on user activity within Microsoft 365. This upgrade aims to improve relevance and utility while giving users better control over Copilot's memory and preferences. Scheduled for rollout in March, additional features may include AI content watermarks.

https://windowsreport.com/microsoft-copilot-gains-m365-graph-integration-for-smarter-more-personal-answers/

Privacy Is Fueling the CIO’s AI Agenda

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The Cisco 2026 Data and Privacy Benchmark Study reveals that AI is driving the expansion of privacy programs, with 90% of companies investing more to keep pace with AI growth and regulatory expectations. While AI enables innovation, it also exposes data hygiene issues and challenges in maintaining customer trust. CIOs must balance enabling AI innovation with maintaining data integrity and transparency to build customer confidence.

https://www.bankinfosecurity.com/privacy-fueling-cios-ai-agenda-a-30610

The CIO’s Guide To AI Readiness

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CIOs must prioritize IT capability maturity over AI hype for successful deployment. Many organizations lack the necessary foundations to safely implement AI, leading to wasted investments. Key factors for success include robust IT governance, reliable data platforms, and effective risk management. A recent framework helps CIOs focus on organizational readiness rather than market anxiety to ensure profitable AI integration.

https://www.forrester.com/blogs/the-cios-guide-to-ai-readiness/

Research From Lenovo Reveals AI Is Paying Off, Yet Most CIOs Aren’t Ready for What Comes Next

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Lenovo’s CIO Playbook 2026 reveals that while enterprises are moving from AI pilots to scaled implementations, many lack the necessary governance, data quality, and expertise to fully capitalize on AI’s potential. Hybrid AI is the preferred deployment model, with a focus on secure, energy-efficient infrastructure and flexible architectures. Lenovo emphasizes the importance of operationalizing AI across hybrid environments with trust and scale.

https://news.lenovo.com/pressroom/press-releases/research-reveals-ai-is-paying-off-cios-arent-ready/

Why AI Assistants Still Face Barriers at Scale

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AI assistants are gaining visibility in workplaces, yet many organizations hesitate to scale their deployment due to security, governance, and trust issues. Despite low usage rates (18% weekly, 8% daily in the US), there's a push for broader adoption, particularly in collaboration software. Companies see a need to leverage AI for efficiency but face challenges like unclear ROI and training needs. Interest in tools like Microsoft 365 Copilot and OpenAI's ChatGPT is high, with many exploring multiple AI solutions. Security risks associated with AI integrations and oversight remain key concerns as enterprises navigate towards larger deployments.

https://www.computerworld.com/article/4119325/why-ai-assistants-still-face-barriers-at-scale.html

As CIOs Focus on AI Integration, New Tools Complicate the Agenda

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CIOs are shifting focus from AI experimentation to integration, prioritizing the execution of existing AI investments. However, the emergence of on-device AI, exemplified by Lenovo’s Qira, adds complexity to this integration process. While offering benefits like improved data privacy and reduced cloud costs, on-device AI also presents challenges such as technical debt and vendor lock-in.

https://www.informationweek.com/ai-innovations/as-cios-focus-on-ai-integration-new-ai-tools-complicate-the-agenda-in-2026

Аgentic AI Security Measures Based on the OWASP ASI Top 10

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The OWASP Foundation released a playbook outlining the top 10 risks of deploying autonomous AI agents, including goal hijacking, tool misuse, and privilege abuse. These risks arise from the agents’ ability to make decisions and process data without human oversight. Mitigation strategies include enforcing least autonomy and privilege, using short-lived credentials, and requiring human confirmation for critical actions.

https://www.kaspersky.com/blog/top-agentic-ai-risks-2026/55184/

Most Workers Spend 3+ Hours Per Week Cleaning up AI Workslop

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TLDR: Workers spend 3+ hours weekly revising low-quality AI outputs, known as “AI workslop.” Despite this, 92% believe AI boosts productivity, indicating it saves more time than it costs. Key issues stem from AI in data analysis and untrained employees, leading to negative consequences like rejections and lost clients. Training can improve outcomes, with 94% of trained workers citing productivity gains. Accountability in AI-generated work remains crucial.

https://zapier.com/blog/ai-workslop/?utm_source=Iterable&utm_medium=email&utm_campaign=itbl-gbl-pgv-ooc-_all__blog_ai_workslop_20260126-ctn

Cybersecurity’s New Business Case: Fraud

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Cybersecurity leaders in government face budget cuts and staffing shortages while fraud increases. Focus should shift from technical jargon to issues like financial fraud, AI-generated scams, and citizen trust. The article emphasizes urgent need for cyber teams to engage in fraud prevention as online financial fraud surges, notably with pandemic-related scams costing billions. Recommendations include collaboration with auditors and implementing robust controls to combat identity fraud, highlighting a collective effort necessary across political lines to address these challenges.

https://www.govtech.com/blogs/lohrmann-on-cybersecurity/cybersecuritys-new-business-case-fraud

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