Tag: AI
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Business Strategies Correlated with Decentralized Data Architecture
I recently read an excellent article on implementing data mesh architecture. Initially, I was concerned about whether the project aligned with the company’s business and technical strategies. After reaching out to upper management, I was reassured that the project is indeed well aligned with their company’s strategy. The adoption of decentralized data architecture (DDA) is…
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Breaking Down Silos: Overcoming Turf Wars and Politics to Streamline Data Infrastructure
This is one of the biggest problems I encountered when helping companies build their data-driven analytics transformation. I have been helping companies solve this particular problem for more than ten years already, and I thought that by now, we should have gotten over this problem already. Unfortunately, the turf war problem is even worse in…
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Essential Components and Infrastructure for Effective AI System Implementation
“Jack, a director at TechPR, was thrilled by the potential of artificial intelligence after reading several articles praising its transformative capabilities. Convinced it was the perfect solution to streamline their customer service operations, he hastily decided to implement an AI system, expecting it to be a straightforward process. Confidently, he instructed his team to proceed…
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Strategic AI Integration: A CTO’s Approach to Future-Proofing the Business
The Chief Technology Officer (CTO) should play a pivotal role in overseeing and guiding the transition effectively when companies are migrating to AI. Unfortunately, from my experience, either CTOs were not technically skilled enough or did not get the full support from the CEO. I have a few key considerations and areas of focus when…