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

CIO Business Intelligence

But this year three changes are likely to drive CIOs operating model transformations and digital strategies: In 2024, enterprise SaaS embedded AI agents to drive workflow evolutions , and leading-edge organizations began developing their own AI agents.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges? Whats worse: Inputs are rarely exactly the same.

Testing 174
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Practical Skills for The AI Product Manager

O'Reilly on Data

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

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Gartner projects major IT spending increases for 2025

CIO Business Intelligence

in 2025, but software spending — four times larger than the data center segment — will grow by 14% next year, to $1.24 The software spending increases will be driven by several factors, including price increases, expanding license bases, and some AI investments , says John Lovelock, distinguished vice president analyst at Gartner.

IT 133
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What’s ahead for AI, VR, NFTs, and more?

O'Reilly on Data

What does “reproducibility” mean if the model is so large that it’s impossible to reproduce experimental results? CIOs and CTOs will realize that any realistic cloud strategy is inherently a multi- or hybrid cloud strategy. Biology is becoming like software.

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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. AI-driven software development hits snags Gen AI is becoming a pervasive force in all phases of software delivery.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). Why AI software development is different. This shift requires a fundamental change in your software engineering practice.