Data science can quickly turn data into insights and those insights can lead to decisions. And sometimes, the results are unwittingly spoiled by bias and drift, causing mistrust. This problem undoubtedly hampers AI adoption and can negatively impact people’s lives and a …

Building an AI framework for fair hiring: A U.S. employer puts antibias first Read more »

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 improving business performance with end-to-end intelligent automation and radical differentiation with hyper-personalized services. Those …

Financial services can win with AI by putting trust first Read more »

  95% of businesses are operating in hybrid cloud environments with about two-thirds using multiple cloud providers.[1] This ongoing sprawl of data across multiple data stores, multiple locations, multiple clouds and even multiple vendors has driven many organizations to seek …

Manage all of your data – any type, on any cloud, from any vendor – with a high-performance universal query engine and data fabric Read more »

The COVID-19 pandemic revealed both our collective fragility and resilience – and for many organizations, it was also an impetus to charge full steam ahead with their AI plans — with worldwide spending on AI technology is expected to more than double over the next four years, according to IDC [1]. As AI secures top billing on the …

IDC and IBM call out best practices for scaling AI as investments set to double Read more »