The new chapter in AI adoption

While AI continues to gain both traction and momentum in businesses across many industries, most are still discovering challenges to really moving their projects forward.

According to an MIT Sloan report, 81 percent[1] of enterprises do not understand what data is required for AI, or how to access it. And a recent Gartner study[2] found that, “data and analytics leaders continue to struggle with the complexity, time to integration and cost implications of their data integration projects, thereby inflating their schedules and delivery costs with multiple cycles of revised project scope.

However, the vast majority of enterprises, 83 percent, according to the MIT Sloan report, agree that driving AI across the enterprise is a strategic opportunity.

With this kind of capability and toolset, you and your clients are not only provided with the means to build, deploy and run AI models and applications in a simpler and faster way and across any cloud, but have the power to automate business processes for improved efficiencies and performance.

It’s opening up a whole a new chapter in the journey from AI experimentation to wide-scale deployment and industry transformation.


[1] MIT Sloan Management Review, Reshaping Business with Artificial Intelligence

[2] Gartner: “Predicts 2019: Data Management Solutions,” Dec. 6, 2018.

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