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5 surefire ways to derail a digital transformation (without knowing it)

CIO Business Intelligence

Worse is when prioritized initiatives don’t have a documented shared vision, including a definition of the customer, targeted value propositions, and achievable success criteria. The risk of derailments increases as I hear inconsistent answers or too many conflicting priorities.

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How a cloud-based data ecosystem is helping 3M HIS transform the healthcare business

CIO Business Intelligence

3M 360 Encompass is a collection of applications that work together to help hospitals streamline processes, receive accurate reimbursement, promote compliance, and make data-informed decisions. The cloud served as the foundation for this transformation.

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The importance of data ingestion and integration for enterprise AI

IBM Big Data Hub

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

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How to Build a Successful Metadata Management Framework

Alation

A metadata management framework combines organizational structure and a set of tools to create a data asset taxonomy. Document type: describes creation, storage, and use during business processes. Scale effectively: Leverage taxonomies to ensure consistent modeling outcomes when introducing new data sets or changing business demands.

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Assembly required: 8 myths about knowledge management debunked

CIO Business Intelligence

Knowledge assembly in action To better understand why organizations fall short when assembling knowledge, we must first understand how knowledge assembly unfolds, starting with some basic concepts: Data are raw, unorganized facts, such as numbers, text, and images, that lack context and meaning on their own.

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Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today. Socialize data – Empower stakeholders to see data in one place and in the context of their roles. And do it without the risk of breaking everything. The Right Tools.