technology

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/

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

Top 10 World’s Best Data Security Companies in 2026

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Top 10 Data Security Companies 2026:
Data security is crucial due to increasing ransomware attacks and strict regulations. The leading companies provide advanced solutions beyond traditional encryption, focusing on intelligent data management, compliance support, and scalable protection across various environments. Key players include Microsoft, IBM, Cisco, and Palo Alto Networks, each offering unique strengths in data governance, AI security, and cloud integration. Investing in the right data security firm is essential for safeguarding sensitive information and maintaining compliance in today's complex digital landscape.

https://gbhackers.com/best-data-security-companies/

The CIO Mindset, Decoded Ft. Andrea Bergamini, CIO, Orbia

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CIO Andrea Bergamini discusses the evolving role of technology within businesses in the “CIO Mindset, Decoded” podcast. He emphasizes that technology should be integral to business operations rather than merely supportive. The conversation highlights the necessity for modern CIOs to adapt to complexities like AI adoption and cybersecurity while driving measurable outcomes. Bergamini shares insights from his diverse career, advocating for resilience, continuous learning, and embracing technology as a core aspect of organizational strategy. Each segment of the discussion focuses on leadership traits, prioritizing IT strategies, and leveraging Global Capability Centers for innovation.

https://zinnov.com/podcasts/business-resilience/the-cio-mindset-decoded-how-to-build-scale-and-stay-resilient-ft-andrea-bergamini-orbia/

Many Small Steps for Robots, One Giant Leap for Mankind

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TL;DR: Packy McCormick and Evan Beard discuss robotics, challenging the belief that breakthroughs will create significant advancements. Beard emphasizes that progress comes from small iterative improvements across various tasks instead of one giant leap. His company, Standard Bots, focuses on making versatile robots that can learn from real-world environments rather than relying on theoretical models. They argue existing robotics progress is limited due to constrained data needs; true automation will require diverse, real-world learning experiences to succeed across complex tasks in dynamic environments.

https://www.notboring.co/p/robot-steps

8 CIO Recommendations for ERP Implementation in 2026

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Agentic AI is transforming ERP systems, enabling new operating models and improving agility, efficiency, and customer responsiveness. By 2026, CIOs should develop a business plan for agentic AI adoption, engage with ERP vendors, and define a human-AI collaboration strategy. They must also address risks, readiness gaps, and talent needs while planning for change management and communication strategies.

https://www.informationweek.com/software-platforms/8-cio-recommendations-for-erp-implementation-in-2026-think-agentic

The Economics of Skills: AI, Human Augmentation, and the Future Workforce

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HR faces challenges due to digital transformation, wage inflation, and a shift in global tech talent from the Global North to decentralized regions. Key metrics are changing from FTE counts to Effective Digital Capacity (EDC). By 2027, 40% of tech skills may become obsolete due to AI. Emerging Tier-2 cities are gaining importance as competitive tech hubs, while significant supply-demand gaps exist in software development and cybersecurity roles. The half-life of tech skills is under two years, emphasizing skill adaptation. Companies must transition to a strategic focus on skills, with an urgency for Builders in the workforce, as traditional labor cost advantages diminish. Competitive advantage will rely on capability, innovation, and skill-based compensation systems.

https://draup.com/talent/data-books/economics-of-skills-ai-augmentation

CES 2026 Unveils the Stunning Rise of Physical AI and Robotics Revolution

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CES 2026 marked a significant shift to “physical AI,” showcasing robots for various applications. Key developments included Boston Dynamics' redesigned Atlas robot and Mobileye's acquisition of Mentee Robotics. Trends in industrial automation and consumer robotics emerged, addressing challenges in safety and efficiency. The event highlighted the expansive growth potential of physical AI and its impact on multiple industries, with substantial investments reflecting confidence in the market's future.

https://cryptorank.io/news/feed/e563f-ces-2026-physical-ai-robotics-revolution

How AI Is Reshaping the Foundations of Computing and Storage

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AI workloads challenge traditional storage, requiring high-performance systems to prevent GPU idling and stalled training cycles. Legacy systems are inadequate, leading to reliability issues and costly inefficiencies. Modern architectures must incorporate fault tolerance, resilience, and efficient data management to meet AI demands and ensure ROI.

https://www.cio.com/article/4112793/how-ai-is-reshaping-the-foundations-of-computing-and-storage.html

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