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... Building a business case for generative AI (GenAI) is uniquely challenging, as its outcomes range from incremental to transformative, defying traditional valuation metrics. Recent data shows only 57% of organizations meet their GenAI return on investment (ROI) expectations, largely due to misaligned ...
... implementing AI‑ready architectures, transforming operating models and shifting to outcome‑based metrics. Discover how to connect modernization investments to AI outcomes, make smarter architecture decisions and drive measurable enterprise value. •Learn how to reframe modernization as a driver of AI readiness ...
... While generative AI (GenAI) has emerged as a top-funded supply chain technology initiative for 2024, many organizations are still grappling with how to effectively strategize and prioritize supply chain planning use cases that leverage GenAI technology. This is understandable, as planning technology ...
... reengineered decision making and guides you to: Identify what decisions to reengineer, and why Prioritize decisions, analytics and data Fit artificial intelligence into decision making Rethink your D&A architecture Build skills, habits and teams geared for effective decision making Complete the form and ...
... ubiquitous global broadband, phone and IoT coverage •Digital humans will create new types of companions, assistants, therapists and entertainers. •Adaptive AI will enable massively increased use of drones and robots in various situations. Return to this web page to watch the webinar. Contact us at gartnerwebinars ...
... Warren Bennis said, “The factory of the future will have only two employees — a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment.” Today’s reality is much different. More people are needed and interfaces between humans and machin ...
... development (R&D) leaders found that poor data quality or limited data availability and insufficient infrastructure hindered their ability to take advantage of AI. By extension, the same insufficient digital infrastructure would similarly limit use of data and analytics for innovation, internal data management ...