Print the page
Increase font size
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

AI Gets Political

AI Gets Political

Posted January 17, 2024

By Ray Blanco

AI takes center stage in Davos. How this week will shape what AI looks like for decades to come.

Consumer Electronics Show Debrief!

Posted January 16, 2024

By Ray Blanco

A run down of what the Paradigm crew learned from CES in Vegas - plus the week’s top tech stories.

Filtering Out Fake News

Posted January 12, 2024

By Ray Blanco

AI offers a unique solution to the Fake News epidemic.

Should I Buy Bitcoin?

Posted January 11, 2024

By Ray Blanco

It’s official, the Bitcoin ETF has been approved. Its price keeps going up, but should you buy-in now?

Live From CES in Vegas!

Posted January 10, 2024

By Ray Blanco

Zach, Matt, Ari, and Bob are providing live updates from the Consumer Electronics Show in Las Vegas.

Bigger Than Bitcoin

Posted January 09, 2024

By James Altucher

James Altucher tells us why he’s not bothering with the next Bitcoin bull run, even though he thinks it’s legit.