Remove Business Objectives Remove Experimentation Remove ROI
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5 best practices to successfully implement gen AI

CIO Business Intelligence

This is why many enterprises are seeing a lot of energy and excitement around use cases, yet are still struggling to realize ROI. 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.

ROI 124
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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. Their top predictions include: Most enterprises fixated on AI ROI will scale back their efforts prematurely.

ROI 127
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Exploration to elimination: CIO road map for adaptive technology portfolios

CIO Business Intelligence

Key strategies for exploration: Experimentation: Conduct small-scale experiments. Data-driven decisions: Leverage data and analytics to assess new technologies’ potential impact and ROI. It shows the importance of eliminating investments that no longer align with core business objectives.

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13 IT resolutions for 2024

CIO Business Intelligence

He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024. This vision represents a fundamental shift, positioning AI as an integral part of our business fabric rather than just an add-on. That’s the case for Yi Zhou, CTO and CIO with Adaptive Biotechnologies.

IT 144
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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

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Havmor’s VP IT Dhaval Mankad on ‘melting’ hurdles with a scoop of digital innovation

CIO Business Intelligence

Since we already have the cloud native data lake, we are generating actionable business insights using that data, and plan to leverage them with AI and other new-age tools to uplevel in business. We need to define our business objective before adopting those new tools, because AI is simply algorithm.

IT 98
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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Everything runs seamlessly and efficiently and all stakeholders are aware of the cloud’s potential to drive business objectives. Teams are comfortable with experimentation and skilled in using data to inform business decisions. Service ownership is established and distributed to self-sufficient teams.