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8 strategies for accelerating IT modernization

CIO Business Intelligence

Here veteran IT leaders and advisers offer eight strategies to speed up IT modernization. Traditionally, such an initiative would involve business process analysis, a fit-gap analysis, and process re-engineering — all of which eats up time. Luckily, there are ways to slash the timelines on those projects.

Strategy 140
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An archetype-based approach to driving your global workforce transformation

CIO Business Intelligence

As technology becomes ever more important to strategy, IT leaders are reconsidering their workforce compositions. And though modeling the composition of a to-be workforce is a necessary and smart first step, it represents only the tip of the iceberg. What skills will enable operations in the new model? Are they working in agile?

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SEC climate-related disclosure rules for public companies

IBM Big Data Hub

IBM Consulting Sustainability Services can assist organizations in addressing the SEC’s climate disclosure regulations through a comprehensive approach that includes data curation, gap analysis, strategy development and reporting services.

Risk 56
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How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

The serverless architecture features auto scaling, high availability, and a pay-as-you-go billing model to increase agility and optimize costs. The architecture approach is split into a data intake layer, a data analysis layer, and a data visualization layer. Solutions Architect with Healthcare and Life Sciences (HCLS).

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What’s the Difference: Quantitative vs Qualitative Data

Alation

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. A big part of data analysis includes understanding what’s essential about collected information. Trend analyses review data collected over time to help predict the future.

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Upskilling and reskilling for talent transformation in the era of AI

IBM Big Data Hub

The rise of AI is fundamentally remaking corporate strategy. Elements of enterprise AI, such as using data management and generative AI foundation models to drive added value. Executives must enhance AI capabilities, such as using generative AI tools, throughout the workforce.

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The art and science of data product portfolio management

AWS Big Data

Taken together, the posts in this series lay out some possible operating models for data mesh within an organization. In the same way, organizations seeking to implement successful data mesh strategies must respect the nature and structure (legal, political, commercial, technology) of their organizations in their implementation.