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How to Scale the AI ladder: Watch these enterprises (IBM Big Data & Analytics Hub)

By Juliet Sigmann posted Tue May 28, 2019 10:41 AM

  

Check out this blog on IBM Big Data & Analytics here:

https://www.ibmbigdatahub.com/blog/how-scale-ai-ladder-watch-these-enterprises

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How to Scale the AI ladder: Watch these enterprises

VP, Offering Management, Analytics, IBM

New innovations go through an evolution of dismissal, avoidance, fear and finally acceptance. AI is no exception – but it’s not magic and it’s not science fiction. It’s computer science fused with business reality – and it can help you, your business, your employees, and your customers through better prediction, automation and optimization.

Business leaders are striving to get more from their data but data remains unanalyzed, inaccessible or untrusted. Yet we are in a digital world, and it is data that fuels digital transformation. As some in the industry have predicted, models will run the world. And that brings us to why almost every enterprise on the planet is ramping up its investment in AI.

Why AI? Well, it’s the key to unlocking the value of data in totally new ways:

  • Predict and shape future outcomes
  • Optimize people to do higher value work
  • Intelligently automate decisions, processes and experiences
  • Re-imagine new business models

My team is seeing almost every business we engage with getting on the journey to AI. But what we have learned from the leaders is that AI is not magic. It takes a prescriptive approach – a methodology – to successful reap benefits from the journey ahead. At their core, enterprises must start by making their data ready for AI – and do this in a manner that provides trust and transparency for the people that will rely on it. That is, enterprises require trustworthy AI that is explainable, bias-free, robust, fair, and auditable. And that starts with the data that fuels AI.

Some 85 percent of responding enterprises in an MIT Sloan survey view AI as a strategic opportunity to unlock the business value hidden in their data. However, the same study cites that 81 percent do not understand the data required for AI. MIT's conclusion was right on.

>> CONTINUE reading this blog here: https://www.ibmbigdatahub.com/blog/how-scale-ai-ladder-watch-these-enterprises


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