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3 key digital transformation priorities for 2024

CIO Business Intelligence

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams. Luckily, many are expanding budgets to do so. “94%

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10 things to watch out for with open source gen AI

CIO Business Intelligence

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. If you have a data center that happens to have capacity, why pay someone else?” It’s also the training data, model weights, and fine tuning. Gen AI, however, isn’t just code.

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4 Steps to Data-first Modernization

CIO Business Intelligence

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. Key features of data-first leaders.

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A guide to efficient Oracle implementation

IBM Big Data Hub

By implementing Oracle , one of the world’s leading enterprise resource planning (ERP) tools, organizations can transform their business processes and significantly increase operational efficiency. Companies large and small are increasingly digitizing and managing vast troves of data.

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The Third Pillar of Data Culture: Data Governance

Alation

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

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Showcasing the Power of AI in Investment Management: a Real Estate Case Study

DataRobot Blog

One might imagine that the increase in available data would lead to greater transparency and more efficient markets, but the opposite seems to be the case as increased access to massive amounts of data has made assessing real estate assets much more complex. Real Estate Data Intelligence. More is not always better.

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The art and science of data product portfolio management

AWS Big Data

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.