Integrating AI and GenAI into turnaround planning marks a significant shift towards proactive, efficient, and safe industrial operations. By embracing data-driven strategies, organizations can optimize their maintenance processes and achieve long-term operational excellence.
In this week's real-time analytics news: IBM announced a number of new technologies to scale enterprise AI.
Bridging the gap between AI potential and real-world impact requires a strategic investment in data literacy. Organizations that train their workforce, simplify their database platforms, and reduce dependence on specialists will not only accelerate AI adoption, but they’ll lead the next wave of innovation.
Companies that align AI initiatives with business priorities, invest in adaptable, user-friendly solutions, and continuously measure impact will see tangible benefits in efficiency, cost savings, and competitive differentiation.
AI holds significant promise for transforming public service organizations by enhancing efficiency, responsiveness, and decision-making. By adopting a cautious yet proactive approach, public agencies can harness AI to better serve their communities.
Mainframe modernization is no longer optional—it is a strategic necessity. While AI alone cannot fully resolve the COBOL challenge, when combined with targeted refactoring and cloud integration, it can be a powerful tool for transformation.
As innovative technologies redefine the sporting goods industry, companies that hesitate risk falling behind more agile, digitally empowered competitors.
In this week's real-time analytics news: MIT focuses on making AI-generated code more accurate in any language.
The patterns of technology adoption continue to be predictable, with GenAI following the same path cloud computing blazed before it. Just as cloud architecture became a critical skill for IT professionals, AI literacy and governance expertise are becoming essential for today's technology leaders.
By outsourcing AI infrastructure to the cloud provider, serverless inference frees enterprises to focus on the application layer of their AI deployments.