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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service.

Insurance 250
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Driving Business Value and ROI from a Hybrid Cloud Data Lake

Alation

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. With a cloud deployment, enterprises can leverage a “pay as you go” model; reducing the burden of incurring capital costs. With an on-premise deployment, enterprises have full control over data security, data access, and data governance.

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Your New Cloud for AI May Be Inside a Colo

CIO Business Intelligence

Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex.

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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

The original proof of concept was to have one data repository ingesting data from 11 sources, including flat files and data stored via APIs on premises and in the cloud, Pruitt says. There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says.

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3 things to get right with data management for gen AI projects

CIO Business Intelligence

And Doug Shannon, automation and AI practitioner, and Gartner peer community ambassador, says the vast majority of enterprises are now focused on two categories of use cases that are most likely to deliver positive ROI. Data management, when done poorly, results in both diminished returns and extra costs.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

No matter if you need to develop a comprehensive online data analysis process or reduce costs of operations, agile BI development will certainly be high on your list of options to get the most out of your projects. That way, the stakeholder’s ROI can be maximized while agilists can truly manage change instead of preventing it.

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Why Purpose-Built Infrastructure is the Best Option for Scaling AI Model Development

CIO Business Intelligence

Many companies that begin their AI projects in the cloud often reach a point when cost and time variables become issues. But as models and datasets grow, there’s a stifling effect associated with the escalating compute cost and time. You’re paying a lot of money for data-science talent,” Paikeday says.