Almost 2 years into “AI this. AI that.”, what’s the biggest hurdle to actually using it in your business?

IT Strategy & Roadmap AI & Machine Learning Disruptive & Emerging Technologies

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AVP, Innovation & Emerging Technologies in Finance (non-banking)a month ago

Leadership commitment and security/privacy.

Enterprise Architect in IT Servicesa month ago

The biggest challenge businesses face in actually implementing it is figuring out how to effectively integrate AI into their operations and processes.

CIO in Manufacturinga month ago

Competing priorities and defined use cases

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Director of Technology Strategy in Services (non-Government)a month ago

Being able to identify the problems that need to be solved with it.

CIO in Healthcare and Biotecha month ago

I would say the possibility to scale the solutions from a POC to a full solution. It´s easy to complete POCs with data samples but do you have all necessary data (and data quality) to scale the solution.

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We currently have a Model wrapped in app layer operating as a hub with multiple apps acting as spokes. However, this is leading to many changes such as orchestration, encryption and decryption functions being pushed to individual spokes and being replicated for every spoke. What are the pros and cons of hub and spoke architecture?

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Chief Information Technology Officer in IT Services15 days ago

Adding new spokes (applications) is relatively straightforward since the hub provides centralized services that spokes can easily connect to without needing major architectural changes.