AI implementation

AI’s Last-Mile Failure: Why ERP Value Breaks Down After the Investment

Organizations investing in AI within ERP systems often fail to achieve expected results not due to technology issues, but because they neglect to redesign decision-making processes and empower employees to effectively use AI insights.

Analytics and AI

The Enterprise AI Revolution Is Boring, and That Is What Makes It Work

The article advocates for 'boring AI,' which emphasizes embedding AI into back-end processes and workflows to deliver real operational value, as opposed to flashy, superficial applications that often fail to provide measurable returns.

IBM office building | IBM announces expansion to its software portfolio in AWS marketplace

Analytics and AI

IBM Embeds AI Consulting Tools Inside Microsoft Copilot, Cites 250,000 Hours Saved

IBM integrates its Consulting Advantage with Microsoft Copilot to enhance efficiency for consultants, saving over 250,000 hours annually, by optimizing access to proprietary information within familiar Microsoft 365 applications while maintaining governance and oversight.

Analytics and AI

Pragmatic AI: What it means for manufacturers

A recent SAP Insider survey reveals that while 40% of manufacturing organizations have no plans to adopt AI, nearly 39% are considering implementation within the next two years, driven primarily by the need to automate tasks and improve operational efficiency, highlighting a cautious yet evolving approach to AI in the industry.