Agentic AI has the potential to reshape several industries by enabling autonomous decision-making, real-time adaptability, and proactive problem-solving. As businesses strive to enhance operational efficiency, they face the challenge of deciding how and where to implement agentic AI for maximum impact. From supply chain optimization to predictive maintenance and customer experience enhancement, enterprise leaders must…
There is a new latent value found in modern companies and organizations. Beyond the physical building space, office equipment and quality employees that make an organization function, 4 out of 5 organizations today manage over a petabyte of data within their systems, holding trillions of dollars of market value and the legal and ethical capabilities…
Real estate is the world’s oldest and largest asset class. Yet, the sector has a heavy tech debt. Agents still process documents manually, schedule viewings via calls or texts, and rely on spreadsheets or outdated CRMs to manage critical operations. While other industries are being completely disrupted by AI, many real estate businesses are still…
Roman Axelrod is the Founder and Managing Partner of XPANCEO. He has a background in building companies across computer vision, esports, and fintech, with experience expanding operations into Western Europe, the United States, and the Asia-Pacific region. Axelrod has negotiated and structured deals totaling over $5 billion and led three successful exits. XPANCEO is developing…
As more businesses adopt AI, understanding its security risks has become more important than ever. AI is reshaping industries and workflows, but it also introduces new security challenges that organizations must address. Protecting AI systems is essential to maintain trust, safeguard privacy, and ensure smooth business operations. This article summarizes the key insights from Cisco’s…
Why it matters: Microsoft’s Bold AI Bet with OpenAI explores its Copilot tools, Azure AI services, and enterprise dominance.
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If you rely on AI to recommend what to watch, read, or buy, new research indicates that some systems may be basing these results from memory rather than skill: instead of learning to make useful suggestions, the models often recall items from the datasets used to evaluate them, leading to overestimated performance and recommendations that…