Why AI governance is a business imperative for scaling enterprise AI
Accelerate time to resolution and improve the customer experience
More companies are adopting AI than ever before. According to IDC, enterprises worldwide are expected to invest $151 billion in AI solutions in 2023. Despite the growth, there are existing barriers to adoption.
Responsible AI implementation continues to be a major challenge for businesses. The insights found in this whitepaper will put you on the path to efficient implementation.
Here's what you will learn in this whitepaper:
- The challenges generative AI creates
- How companies are adopting AI governance
- How to establish a framework to implement AI
Download now
Provided by IBM
-
Post-cloud strategy: Architecting the next enterprise stackAs enterprises rethink their dependence on hyperscale, hybrid architectures are emerging as the new foundation for resilient, AI-ready infrastructure
-
Anthropic just launched Claude Fable 5, its first Mythos-class AI modelNews The launch of Claude Fable 5 marks the first public release of a Mythos-class AI model
-
How AI code is changing software developmentITPro Podcast At firms like OpenAI the majority of code is now generated with AI tools
-
Managing tech costs in a volatile marketITPro Podcast Rising energy prices and sprawling cloud environments make the jobs of CIOs and CFOs harder than ever
-
The first hurdle is the hardest in generative AI adoption – and businesses keep fallingAnalysis AWS’ UK chief said AI advances “feel like magic” at its recent London summit, but many firms are facing the reality of sluggish gains
-
CultureAI’s new partner program targets AI governance gains for resellersNews The new partner framework aims to help resellers turn AI governance gaps into scalable services revenue
-
IBM’s Confluent acquisition will give it a ‘competitive edge’ and supercharge its AI credentialsAnalysis IBM described Confluent as a “natural fit” for its hybrid cloud and AI strategy, enabling “end-to-end integration of applications, analytics, data systems and AI agents”.
-
IBM layoffs loom as ‘single-digit percentage’ of global workforce set for cutsNews Headcount at the cloud giant has been decreasing steadily in recent years
-
AI tools are a game changer for enterprise productivity, but reliability issues are causing major headaches – ‘everyone’s using AI, but very few know how to keep it from falling over’News Enterprises are flocking to AI tools, but very few lack the appropriate infrastructure to drive adoption at scale
-
CEOs think workers are becoming hostile to AI tools, but they’re pushing ahead with adoption anywayNews Executives are driving the adoption of AI tools despite concerns workers will push back
