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Despite the efforts to train more AI experts (across academic, governmental, and corporate entities, for example), the truth remains: There is a lack of AI experts, particularly in less tech savvy or sexy industries.
With data central to every aspect of business, the chief data officer has become a highly strategic executive. Todays CDO is focused on helping the organization leverage data as a business asset to drive outcomes. A strong CDO who can communicate and drive the strategy is essential for getting value out of these AI investments.
With AI talent in high demand, the shortage of AI technicians available will only get worse, some hiring experts say, as job postings for workers with AI expertise are growing 3.5 There has to be a marriage between the AI skill sets that somebody can bring and the practical application of what that means at the company level,” she says.
In addition to upskilling technical competencies, the company’s training programs are also more focused on enhancing soft skills, he says, and preparing people for a future where they can thrive alongside AI. That can soon become difficult however, since AI systems seem to be doubling in capability every three to six months.
Having a clear vantage point within the organization, CIOs play a vital role bringingtogether engaged and motivated employees to work toward a common outcome, increase productivity, and achieve better business outcomes. The key is understanding where the opportunities lie and how varying strengths can dovetail with each other.
Every organization wants to better serve its customers, and that goal is often achieved through data. Situationally, it was a really good time to deploy a data mesh architecture and its principles and invest in this space because we were doing so much tech modernization,” Lavorini says. So why not make data a part of it?”
The bank also reduced average call handling times by 40% and eliminated all data entry errors by auto-filling forms with relevant case data. First Tech Credit Union is a San Jose-based financial institution with more than $16 billion in assets. Its existing point automation solutions were often unable to do the hand-offs.
Now is the time for enterprises, commercial organizations and research institutions to begin exploring how to use quantum to solve problems in their respective domains. We anticipate a future wherein programs weave quantum and classical computation together, relying on each one where they’re more appropriate.
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