Winning with AI

Sure you want to win, delivering value.  But does it matter what you call it?   Yes because it gets attention, good or bad.   Context changes.

Winning with AI
 Written by: Rob Thomas in IBM Blog

Categorized: AI | Analytics | Artificial Intelligence | IBM Cloud

Since the year 2000, 52% of the companies that make up the Fortune 500 have disappeared. They have been acquired, succumbed to performance atrophy, or declared bankruptcy. In this hyper-competitive marketplace, winners and losers are being declared every day. And while artificial intelligence (AI) can be the valve to these pressures, for many, drafting a playbook for actually winning with AI remains daunting.

Also, consider a recent IDC Cloud and AI Adoption Survey[1] in which more than 80% of respondents said they plan to move, or repatriate, data and workloads from public cloud environments to private clouds or on-premises locations over the next year, as the initial expectations of a single public cloud provider were not realized. These dynamics add to the confusion that every CEO, CIO, CTO, and CDO faces on a daily basis.

So, what precisely is dragging down projects and preventing companies from delivering measurable business value? I see three recurring patterns:

Companies have been accumulating data at an amazing pace for years, but are still challenged with how to store, manage, and control access. They need a new, modern approach;
The pressure to innovate is mounting. Companies create a chief data office or a data science center of excellence, but do not always have the right model for organizational success;
Small successes only scale when models are put into production and companies adapt their business processes, but unfortunately, this doesn’t occur very often. Scale requires platform thinking and technology.

Companies are at a critical juncture. They must be able to find and scale insights on demand if they want to climb the Ladder to AI.   .... "