CIO
NOVEMBER 4, 2024
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.
CIO
NOVEMBER 19, 2024
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.
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CIO
APRIL 9, 2025
The foundational tenet remains the same: Untrusted data is unusable data and the risks associated with making business-critical decisions are profound whether your organization plans to make them with AI or enterprise analytics. Like most, your enterprise business decision-makers very likely make decisions informed by analytics.
Cloudera
DECEMBER 2, 2024
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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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.
CIO
APRIL 9, 2025
As a result, many IT leaders face a choice: build new infrastructure to create and support AI-powered systems from scratch or find ways to deploy AI while leveraging their current infrastructure investments. Infrastructure challenges in the AI era Its difficult to build the level of infrastructure on-premises that AI requires.
CIO
MARCH 26, 2025
CIOs need to revamp their infrastructure not only to render a tremendous amount of data through a new set of interfaces, but also to handle all the new data produced by gen AI in patterns never seen before. A knowledge layer can be built on top of the data infrastructure to provide context and minimize hallucinations.
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.
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!
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.
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