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Want AI? Here’s how to get your data and infrastructure AI-ready

CIO

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. An estimated 90% of the global datasphere is comprised of unstructured data 1.

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Edmunds sets stage for AI with data infrastructure consolidation

CIO

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

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Data centers in space

CIO

Imagine a world in which data centers were deployed in space. Using a satellite networking system, data would be collected from Earth, then sent to space for processing and storage. The system would use photonics and optical technology, dramatically cutting down on power consumption and boosting data transmission speeds.

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Guarding the gates: a look at critical infrastructure security in 2023

CIO

These global events have also underscored the crucial significance of safeguarding our critical infrastructure against domestic or foreign attacks. It’s easy to envision the outcomes that could arise from a major assault on our vital infrastructure.

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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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African fintech Pngme raises $15M for its financial data infrastructure platform

TechCrunch

Unbundling financial data through APIs and driving data-driven insights with value-add products in Africa keeps getting more exciting as major players continue to raise more money for scale. Pngme, a financial data platform, closes $3M seed to accelerate growth in Sub-Saharan Africa.

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How transportation agencies can maximize infrastructure investments with network modernization

CIO

Across roads, highways, rails, and airports, federal, state and local transit authorities are rolling out new digital infrastructure to enhance safety and make transportation more efficient. However, the vast amount of data these systems collect requires a robust network infrastructure to ensure the data is captured quickly and securely.

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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

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools. Driving a self-service analytics culture with a semantic layer.

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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? How can MLOps help data science teams, business leaders, and IT professionals build a resilient and scalable foundation for their AI initiatives?

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The Ultimate Embedded Analytics Guide

In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

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