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Essential skills and traits of chief AI officers

CIO Business Intelligence

To date, many of these positions are with technology vendors or at government entities in the wake of recent AI mandates. They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? Types of Model Risk.

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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

The market for AI technology is growing remarkably. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors. AI technology helps businesses respond to change and new business opportunities effectively. Leverage innovation.

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Data Technology Trends That Will Reshape the Future of Accounting

Smart Data Collective

It’s no secret that big data technology has transformed almost every aspect of our lives — and that’s especially true in business, which has become more tech-driven and sophisticated than ever. A number of new trends in big data are affecting the direction of the accounting sector. billion last year.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. Following are seven steps to guide this transformation for competitive advantage.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

It includes everything from product development and strategic decision-making to information systems and new technologies. To mitigate these risks , companies need the resources and technology to develop robust contingency plans. But perhaps most relevant today are the capabilities within SCM to help mitigate disruption.