AI Strategy Generative AI Metadata 
AI News
DECEMBER 9, 2024
Avi Perez, CTO of Pyramid Analytics, explained that his business intelligence software’s AI infrastructure was deliberately built to keep data away from the LLM , sharing only metadata that describes the problem and interfacing with the LLM as the best way for locally-hosted engines to run analysis.”There’s
IBM Journey to AI blog
OCTOBER 4, 2023
Also, a lakehouse can introduce definitional metadata to ensure clarity and consistency, which enables more trustworthy, governed data. All of this supports the use of AI. And AI, both supervised and unsupervised machine learning, is often the best or sometimes only way to unlock these new big data insights at scale.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
MARCH 31, 2025
The enterprise AI landscape is undergoing a seismic shift as agentic systems transition from experimental tools to mission-critical business assets. In 2025, AI agents are expected to become integral to business operations, with Deloitte predicting that 25% of enterprises using generative AI will deploy AI agents, growing to 50% by 2027.
IBM Journey to AI blog
MAY 9, 2023
Suddenly, everybody is talking about generative AI: sometimes with excitement, other times with anxiety. The answer is that generative AI leverages recent advances in foundation models. Watsonx, IBM’s next-generation AI platform, is designed to do just that. But why now?
AWS Machine Learning Blog
AUGUST 26, 2024
Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness. Use case overview Using generative AI, we built Account Summaries by seamlessly integrating both structured and unstructured data from diverse sources.
IBM Journey to AI blog
JULY 17, 2023
is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.
AWS Machine Learning Blog
SEPTEMBER 12, 2024
Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity.
Expert insights. Personalized for you.
295 
Let's personalize your content