Emerging Ideas
Return on Knowledge in the Age of AI: Measuring Value Beyond Data
Beyond traditional ROI, Return on Knowledge (ROK) emerges as the critical metric for measuring AI’s business impact. Organizations implementing AI-enhanced knowledge systems report 47% faster employee onboarding and 38% quicker problem resolution, creating sustainable competitive advantage in the AI economy.
How to Measure ROI of a Data Ecosystem
Measuring the ROI of a data ecosystem can be complex, but it’s crucial for aligning technology investments with business goals. Discover the key metrics and strategies to unlock real value.
Humans on the Loop vs. In the Loop: Striking the Balance in Decision-Making
The balance between humans in the loop vs. humans on the loop is key to building effective, trustworthy systems. By combining human judgment with automation, organizations can enhance decision-making, improve efficiency, and reduce errors—especially in high-stakes environments like healthcare, where nurse-AI collaboration has cut diagnostic errors by 54%.
Enhancing Efficiency with AI: The Crucial Role of User Experience Design
AI systems promise unprecedented efficiency, but poor user experience design can limit their potential. Explore how UX design ensures AI solutions are intuitive, effective, and impactful by simplifying workflows, fostering user empowerment, and driving competitive advantage.
Lift and Shift vs. Refactoring : Choosing the Right Strategy
Deciding between a Lift and Shift vs. Refactoring approach for cloud or data migration can be challenging. This guide explores both strategies, helping you choose the right one for your organization’s needs, timeline, and budget.
AI Strategy is Data Strategy
Artificial Intelligence (AI) thrives on data. Without high-quality, well-governed data, even the most advanced AI models can’t deliver reliable insights. We explore how integrating data strategies with AI initiatives can drive real business value.