IBM Journey to AI blog
MAY 9, 2023
We stand on the frontier of an AI revolution. Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. It sounds like a joke, but it’s not, as anyone who has tried to solve business problems with AI may know.
IBM Journey to AI blog
APRIL 5, 2024
These models often incorporate machine learning and AI algorithms to detect the onset of degradation mechanisms in an early stage. Read more about IBM Data Model for Energy and Utilities The post An integrated asset management data platform appeared first on IBM Blog.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
IBM Journey to AI blog
NOVEMBER 27, 2023
According to a Gartner® report , “By 2026, more than 80% of enterprises will have used generative AI APIs or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023.”* The watsonx.governance toolkit and watsonx.ai
Snorkel AI
JUNE 12, 2023
They trained it on 100x the amount of data. Better data almost always has a greater impact than fancier models or algorithms in AI—and yet, data development has always been undersupported by AI formalisms and technology. However, they are rarely supported in first-class, systematic ways.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. Join us for a forward-looking exploration of the future data landscape! Delve into the distinctive roles and responsibilities of a Platform PM compared to other Product Managers.
Snorkel AI
JUNE 12, 2023
They trained it on 100x the amount of data. Better data almost always has a greater impact than fancier models or algorithms in AI—and yet, data development has always been undersupported by AI formalisms and technology. However, they are rarely supported in first-class, systematic ways.
IBM Journey to AI blog
JANUARY 18, 2023
Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution.
Advertisement
While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.
Expert insights. Personalized for you.
347 
Let's personalize your content