AI 2.0: Upgrade Your Enterprise
with Five Next-generation AI Advances

Technology practices for insights-driven businesses

Clients have challenges getting enough productivity out of their data science investments. They don’t have enough skilled staff, it takes too long to build, train, and deploy models, and they can’t trust the models they do produce. As a result, they operationalize 50% fewer models, doubling their data science cost and are 5X longer to deliver models.

IBM Watson® Studio helps enterprises simplify and speed up the process of finding the right data. It supports their build of machine learning and optimization models, the deployment of those models to production, and explains the behavior of models. The solution also monitors models for accuracy, fairness, and drift. IBM Watson Studio on IBM Cloud Pak® for Data is also built for business owners, risk and compliance officers and enterprise CDO. It enables full AI governance through model validation, approvals, documentation and integration with governance, risk, and compliance (GRC) tools to report metrics before and during production.

Watson Studio is built for hybrid, multi-cloud environments, including public clouds, private clouds, and on-premises. This includes IBM Cloud Pak for Data, AWS, Azure and Google.

How can you exploit your technology investments more fully and demonstrate higher returns on AI investments?

How can you estimate the projected cost savings and benefits of explainable AI? Learn more from the Forrester study, where you can also learn why IBM is recognized as a leader in Gartner’s latest Magic Quadrant report. Read the blog.

Build and Scale AI on any cloud with Watson Studio on Cloud Pak for Data.

Wunderman Thompson is reimagining AI at scale across their business with IBM Watson Studio and other opensource tools.

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