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6 ways you’re failing at change management

CIO Business Intelligence

Its up to IT leaders to ensure the changes their digital initiatives bring to business workflows are absorbed and acted upon by the users impacted by them. Too often, however, change management is treated as an afterthought, observes Munir Hafez, senior vice president and CIO at consumer credit reporting agency TransUnion.

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What is an IT consultant? Roles, types, salaries, and how to become one

CIO Business Intelligence

Enterprise infrastructures have expanded far beyond the traditional ones focused on company-owned and -operated data centers. Types of IT consultants Given that there are many facets of IT, its not surprising that there are various types of IT consultants to meet enterprise needs.

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Poor Change Management Kills CRM Success — Here Is How To Get It Right

Forrester IT

Eighty-two percent of enterprises use CRM. Before you do, you should know: CRM is a huge market. It is valued at $63.91 billion today and projected to grow to $145.79 billion by 2029, at a CAGR of 12.5%. Yet when I surveyed hundreds of business and IT […].

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How to prioritize AI initiatives: A strategic framework for maximizing ROI

CIO Business Intelligence

The real challenge for many companies, however, has been on how to crack this code (pun intended) that is (unsurprisingly) not accessible to everyone, and to ultimately generate that pot of gold thats critical to many companies long-term future. Some are already calling it a Sputnik moment for AI. Thats just the nature of this beast.

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Generative AI’s change management challenge

CIO Business Intelligence

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). For many, their feelings are based on sound experience.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Options to reduce data management debt include automating tasks, migrating to database as a service (DbaaS) offerings, and archiving older datasets.

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From data to impact: How the right technology drives generative AI excellence

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax Change management across people, processes, and technologies is a critical part of succeeding with generative AI (genAI). In earlier articles, weve covered the human element and how to adapt your processes ; here, well take a look at the third: technology.

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