Remove Business Objectives Remove Data Governance Remove Manufacturing Remove Optimization
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Which workloads are best suited for cloud vs. on-premises or edge?

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

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Why CIOs back API governance to avoid tech sprawl

CIO Business Intelligence

For instance, Sabhlok points to EV car manufacturers or ride-sharing companies, which, he says, develop accessible platforms or devices that consumers or third-party complementary product manufacturers can readily interact with through APIs. CIOs must support API governance because of its many benefits,” says Sabhlok.

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Which Workloads Belong On-Premises as Part of Hybrid IT

CIO Business Intelligence

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 88
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How to build a successful AI strategy

IBM Big Data Hub

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy?

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Implementing Data Governance in the Manufacturing Industry

Alation

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. Centralize, optimize, and unify data.

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Bringing an AI Product to Market

O'Reilly on Data

However, that action would result in negative business outcomes for the company overall, and ultimately slow adoption of the service. If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. Data Exploration and Experimentation.

Marketing 363
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Salesforce certification guide: Roles, paths, exams, cost, training, requirements

CIO Business Intelligence

They handle complex tasks such as customizing the platform, configuring advanced security features, and optimizing performance while ensuring the platform aligns with company requirements and goals. Prerequisites include earning Salesforce Application Architect certification (see above).