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AI market evolution: Data and infrastructure transformation through AI

CIO

The majority (91%) of respondents agree that long-term IT infrastructure modernization is essential to support AI workloads, with 85% planning to increase investment in this area within the next 1-3 years. While early adopters lead, most enterprises understand the need for infrastructure modernization to support AI.

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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

Analytics 146
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Cloudera and AWS Partner to Deliver Cost-Efficient and Sustainable Infrastructure for AI and Analytics

Cloudera

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. By optimizing energy consumption, companies can significantly reduce the cost of their infrastructure. Cost has been a key consideration in public cloud adoption from the start.

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Part 1: A Survey of Analytics Engineering Work at Netflix

Netflix Tech

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

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The Ultimate Embedded Analytics Guide

To capitalize on the value of their information, many companies today are taking an embedded approach to analytics and delivering insights into the everyday workflow of their users through embedded analytics and business intelligence (BI). Ensure the solution is built on scalable, cost effective infrastructure.

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A look at the future of mainframe modernization with hybrid cloud

CIO

At the same time, many organizations have been pushing to adopt cloud-based approaches to their IT infrastructure, opting to tap into the speed, flexibility, and analytical power that comes along with it. Learn more about how Rocket Software can help you make the most of a hybrid cloud approach to modernization.

Cloud 166
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From No-Code To Auto Payments, Critical Infrastructure Shifts Will Drive Enterprise AI In 2025

Crunchbase News

Drawing from current deployment patterns where companies like OpenAI are racing to build supersized data centers to meet the ever-increasing demand for compute power three critical infrastructure shifts are reshaping enterprise AI deployment. Here’s what technical leaders need to know, beyond the hype.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Driving a self-service analytics culture with a semantic layer. Using predictive/prescriptive analytics, given the available data. Avoiding common analytics infrastructure and data architecture challenges. The impact that data literacy programs and using a semantic layer can deliver.

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Interpret and make decisions from a cloud data analytics infrastructure. In this webinar, you will learn how to: Take advantage of serverless application architecture. Optimize serverless and managed data processing pipelines. Take your product a step further in the cloud with ML and AI services. And much more!

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Living With Technical Debt: Balancing Quality and Perfection

Speaker: Cliff Gilley, The Clever PM

Unexpected details pop up, as small as UX that needs clean-up, and as big as a previously unforeseen flaw in the infrastructure of a project. Whether you like it or not - because it can’t be avoided. We have to accept that nobody gets away without some technical debt.