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Your IT infrastructure may be more outdated than you think

CIO

But in conflict with CEO fears, 90% of IT leaders are confident their IT infrastructure is best in class. Still, IT leaders have their own concerns: Only 39% feel their IT infrastructure is ready to manage future risks and disruptive forces. In tech, every tool, software, or system eventually becomes outdated,” he adds.

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As AI scales, infrastructure challenges emerge

CIO

There might be an extra cost for the new functionality, though, but the vendors are the ones dealing with any potential infrastructure challenges. And that means companies have to invest in infrastructure for training and deploying these systems. That meant that the company had to do some serious infrastructure work.

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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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Getting infrastructure right for generative AI

CIO

But while the payback promised by many genAI projects is nebulous, the costs of the infrastructure to run them is finite, and too often, unacceptably high. Infrastructure-intensive or not, generative AI is on the march. IDC research finds roughly half of worldwide genAI expenditures in 2024 will go toward digital infrastructure.

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Solving Open Source Complexity with a Managed Data Infrastructure Platform

But as the growth in open source adoption increases, so does the complexity of your data infrastructure. With its unparalleled flexibility, rapid development and cost-saving capabilities, open source is proving time and again that it’s the leader in data management.

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New framework aims to keep AI safe in US critical infrastructure

CIO

Analyst reaction to Thursday’s release by the US Department of Homeland Security (DHS) of a framework designed to ensure safe and secure deployment of AI in critical infrastructure is decidedly mixed. Where did it come from?

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Data center design in the age of AI: Integrating AI with legacy Infrastructure

CIO

There are major considerations as IT leaders develop their AI strategies and evaluate the landscape of their infrastructure. This blog examines: What is considered legacy IT infrastructure? How to integrate new AI equipment with existing infrastructure. Evaluating data center design and legacy infrastructure.

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Modernizing Workloads with the Cloud: How to Improve Performance & Reduce Costs

By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.

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The Business Value of MLOps

How to determine the benefits of an MLOps infrastructure. Download the report to find out: How enterprises in various industries are using MLOps capabilities. Which organizational challenges affect MLOps implementations.

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Detect and Respond to Threats Across Your Applications, Networks, and Infrastructure

Security teams need visibility into their applications, infrastructure, and network, while development and operations teams need the ability to secure the services they own.

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Understanding Cadence Workflow for Developers and Architects

This whitepaper will dive into a brief history of Cadence, how workflows can be put into practice, and how you can apply Cadence to your data infrastructure. Explore the basics of Cadence and understand the benefits it can provide to your organization.

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MLOps 101: The Foundation for Your AI Strategy

What are the core elements of an MLOps infrastructure? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? Download this comprehensive guide to learn: What is MLOps? Why do AI-driven organizations need it?

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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

Avoiding common analytics infrastructure and data architecture challenges. Using predictive/prescriptive analytics, given the available data. The impact that data literacy programs and using a semantic layer can deliver. Thursday, July 29th, 2021 at 11AM PDT, 2PM EDT, 7PM GMT.

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Cloud-Based Solutions: The Sky Is the Limit for Retail Success

Speaker: Ryan Bryers, SVP of Global Engineering

While many businesses still rely on store-level infrastructure, it's time to embrace the unlimited potential of the cloud! In a rapidly evolving industry, the shift from traditional on-premise systems to cloud-based solutions has become crucial for retail success.

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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!