Remove Experimentation Remove Metrics Remove Risk Management
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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. In 2024, departments and teams experimented with gen AI tools tied to their workflows and operating metrics.

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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137
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5 best practices to successfully implement gen AI

CIO Business Intelligence

So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation. Set your holistic gen AI strategy Defining a gen AI strategy should connect into a broader approach to AI, automation, and data management.

ROI 125
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Mastering budget control in the age of AI: Leveraging on-premises and cloud XaaS for success 

IBM Big Data Hub

XaaS models offer organizations greater predictability and transparency in cost management by providing detailed billing metrics and usage analytics. Outsourcing infrastructure management Maintaining and managing on-premises infrastructure for AI workloads can be resource-intensive and costly.

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Generative AI copilots: What’s hype and where to drive results

CIO Business Intelligence

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies.

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3 principles for regulatory-grade large language model application

CIO Business Intelligence

For example, a good result in a single clinical trial may be enough to consider an experimental treatment or follow-on trial but not enough to change the standard of care for all patients with a specific disease. A provider should be able to show a customer or a regulator the test suite that was used to validate each version of the model.