Tagged In:
Modernize: Cloud-ready data Analyze: Build and scale AI Infuse: Operationalize AI Client stories Collect: Make data accessible
Related Tags
Newest by Date Newest by Title Oldest by Date Oldest by Title
Predicting the winners: How IBM uses data and AI at the US Open to drive insights and fan engagement
As the US Open’s official technology partner, IBM Consulting works with the United States Tennis ...
3 new steps in the data mining process to ensure trustworthy AI
Sometimes as data scientists, we are often so determined to build a perfect model that we can ...
Automated governance and trustworthy AI
Artificial intelligence is being infused slowly but surely into all aspects of our lives, and it will be ubiquitous in everyday life sooner than we might imagine. Governments and regulatory bodies around the world are working to establish safety ...
Driving AI ethics for better business and a more just world
As AI technology pushes past limits in new real-world applications, regulators, investors, and the public are pushing back, asking what kind of relationship we ultimately want with AI and how to guarantee its responsible use. In response, ...
Drive exponential growth in healthcare with trustworthy AI
In the wake of the coronavirus pandemic, healthcare organizations encountered unpredictable financial, operational, and total experience challenges. According to Forrester Research[1], 69% of healthcare data and analytics decision-makers report that ...
Financial services: Trustworthy AI’s promise and payoff
Data: It’s becoming richer, cheaper, and increasingly open in the post-pandemic world of broad digitalization. And for financial services organizations, this windfall is opening pathways to improve business performance with end-to-end intelligent ...
Making Data Simple: Al Martin and Kush Varshney discuss machine learning and trustworthy AI