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13 essential skills for accelerating digital transformation

CIO Business Intelligence

Digital transformation is indeed a cornerstone of business strategy today, as 89% of enterprises see digital business as core to their growth, according to Gartner’s Board of Directors 2023 Survey. In the earlier phases, digital transformation centered on exploring and investing in novel technologies,” Musgrove says.

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Psst… Are You Doing Digital Transformation All Wrong?

CIO Business Intelligence

A major reason for this overwhelming lack of success is the failure to establish an operational model aligned with a world in which strategic pivots need to happen quickly. Value Stream Management (VSM) has become increasingly prevalent as the best operational model for those few organizations that have successfully transformed.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

Digital transformation is not a new concept for Ipsos,” says global CIO Humair Mohammed. Its digital transformation process can be divided into several stages, according to Mohammed, each with its own objectives and challenges. js and React.js.

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ChatGPT, Author of The Quixote

O'Reilly on Data

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Researchers are finding more and more ways to extract training data from ChatGPT and other models. And the space is moving quickly: SORA , OpenAI’s text-to-video model, is yet to be released and has already taken the world by storm.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data scientists are experts in applying computer science, mathematics, and statistics to building models.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance.