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Exploring the intersection of AI, simulation, and business innovation

Agentic AI transforming business
October 7, 2025

Agentic AI: Enterprise Adoption Accelerates Despite Implementation Challenges

Agentic AI is rapidly moving from experimental to mainstream enterprise technology. Gartner research shows that 19% of organizations have already made significant investments in agentic AI, with an additional 42% making conservative investments. By 2028, Gartner forecasts that 33% of enterprise software applications will include agentic AI capabilities—up from less than 1% in 2024.

The autonomous decision-making potential is transformative. Gartner predicts that at least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028, up from 0% in 2024. McKinsey research indicates agentic AI could generate $450 billion to $650 billion in additional annual revenue by 2030 for advanced industries, representing a substantial 5-10% revenue uplift.

However, enterprises face significant challenges in scaling implementations. McKinsey reports that 78% of companies use AI in at least one business function, yet fewer than 10% of use cases ever make it past the pilot stage. Gartner warns that over 40% of agentic AI projects will be canceled by end of 2027 due to escalating costs, unclear business value, or inadequate risk controls, emphasizing the need for strategic implementation focused on tangible business outcomes.

⏱ 3 min read
🏷️ Agentic AI
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Digital Twin Technology in Manufacturing
June 2025

Digital Twins and AI: Transforming Manufacturing and Product Development

Digital twin technology is revolutionizing how enterprises approach manufacturing, product development, and operational optimization. According to McKinsey research, 70 percent of C-suite technology executives at large enterprises are already exploring and investing in digital twins to drive efficiency and accelerate innovation.

The business impact is substantial. McKinsey reports that digital twins have cut development times by up to 50 percent for some users while reducing costs along the way. Accenture's cloud-based solution combining NVIDIA Omniverse with generative AI helps improve collaboration speed and deliver capital cost optimization, with organizations at the most advanced level being almost three times as profitable and twice as efficient as their counterparts.

The market opportunity is enormous. Deloitte forecasts the global digital twin market will grow from nearly $13 billion in 2023 to $259 billion by 2032. In January 2025, Accenture acquired advanced digital twin technology to enhance modernization capabilities, demonstrating the growing strategic importance of this technology. BCG research shows retailers using digital twins achieve 20-30% better forecast accuracy and cut delays by 50-80%.

⏱ 3 min read
🏷️ Digital Twin
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