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Centralizing AI Resources

Posted June 07, 2022

Ray Blanco

By Ray Blanco

Centralizing AI Resources

Artificial intelligence, or AI, is perhaps one of the most talked-about technologies of the past decade. What started as a sort of sci-fi concept has now found its way into most big companies in one way or another. 

And rather than have software development wings handle AI adoption, big companies are putting their AI resources together.

As organizations continue to explore the benefits of AI adoption, big names like Goldman Sachs Group Inc., Morgan Stanley, and Procter & Gamble Co., are creating focused AI groups to coordinate their efforts in deploying AI.

These centralized groups are helping companies plan artificial intelligence strategies at the corporate level. A centralized group is better able to prioritize projects, evaluate proofs of concepts, establish AI governance and structure, and spread AI knowledge and skills throughout the organization.

Some companies have even gone as far as having completely separate facilities for AI research and development. 

Whether they’re referred to as AI research groups, AI innovation groups, or AI task groups, they all come in different shapes and sizes depending on the company. Some have physical locations like I mentioned above, while others are dispersed throughout the business. Some are run by just a few data scientists while others are staffed by entire teams of executives and AI experts.

However, regardless of the scope of an AI-focused group, the mission remains the same: harness and direct AI resources to better benefit the business.

And AI brings multiple business benefits when utilized correctly. For example, companies can use AI to better automate certain processes. By automating simple and repetitive tasks, businesses can free up employees' time to focus on higher-value work.

AI can also be used for data analytics, giving organizations better insights that were previously inaccessible by discovering new patterns and correlations in data.

Other benefits include data transferring and cross-referencing, file updates, predicting consumer behavior with product suggestions, fraud detection, advertising and marketing messages tailored to the customer, and more.

And with dedicated AI departments, companies around the globe will be able to adopt AI-based tech with more efficiency. 

We’re already seeing high levels of AI adoption even though the technology is relatively young, it’s going to be extremely exciting to see where AI adoption is a few more years down the road. 

To a bright future,

Ray Blanco

Ray Blanco
Chief Technology Expert, Technology Profits Daily
AskRay@StPaulResearch.com

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