Remove Business Objectives Remove Metrics Remove Modeling Remove Strategy
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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

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How to build a successful AI strategy

IBM Big Data Hub

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

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How to build a successful procurement strategy

IBM Big Data Hub

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. A procurement strategy is not merely a series of steps for acquiring goods and services. What is a procurement strategy?

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The Analytics Sandwich: Understanding the Business Value of Data and AI

TDAN

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52
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Bringing an AI Product to Market

O'Reilly on Data

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 362
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Generative AI won’t automate your way to business model innovation

CIO Business Intelligence

A common but critical challenge I hear from CIOs, CTOs, and CDOs every day is that they have a difficult time helping the C-suite understand that IT is the very architecture for the future of business, not a cost center. How do you convince decision-makers to collaborate on linking IT strategy with business strategy?

Modeling 105