Remove Business Objectives Remove Experimentation Remove Risk
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10 AI strategy questions every CIO must answer

CIO Business Intelligence

How does our AI strategy support our business objectives, and how do we measure its value? The time for experimentation and seeing what it can do was in 2023 and early 2024. Whats our risk tolerance, and what safeguards are necessary to ensure safe, secure, ethical use of AI?

Strategy 141
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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.

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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

In todays digital economy, business objectives like becoming a leading global wealth management firm or being a premier destination for top talent demand more than just technical excellence. Enterprise architects must shift their focus to business enablement. The stakes have never been higher. Shawn McCarthy 3.

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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO Business Intelligence

As they look to operationalize lessons learned through experimentation, they will deliver short-term wins and successfully play the gen AI — and other emerging tech — long game,” Leaver said. Determining the optimal level of autonomy to balance risk and efficiency will challenge business leaders,” Le Clair said.

ROI 127
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients). Test early and often. Expect continuous improvement.

Strategy 290
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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

Rick Boyce, CTO at AND Digital, underscores how a typical IT project mentality toward DevOps can undercut the CIO’s ability to deliver on business objectives. Applications sanctioned for frequent, continuous deployments should have robust continuous testing, enhanced observability, and a canary release strategy to minimize risks.

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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. Here are five best practices to get the most business benefit from gen AI.

ROI 124