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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. Artificial intelligence (AI) is reshaping our world.

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Oracle brings its database infrastructure to Microsoft Azure

TechCrunch

Days after Oracle missed Q1 2023 revenue expectations and gave a downbeat rest-of-year outlook, sending its share price to suffer the worst one-day performance in 21 years, the cloud provider announced a team-up with Microsoft to co-locate a portion of its infrastructure in the Azure cloud.

Azure 315
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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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You can’t grow trust on a rocky infrastructure

CIO

But not all organizations that store and process sensitive customer data are fully aware that a chink in infrastructure can break our digital trust. A trusted, distributed infrastructure must be flexible and scalable, allowing for agility without compromising on security. It is not just about building a robust infrastructure.

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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 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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Optimizing IT resources through infrastructure, people, and processes

CIO

based IT directors and VPs in companies with more than 1,000 employees, asking them about their current IT stressors and approach to modernizing IT infrastructure. Optimizing IT resources—namely infrastructure, processes, and people—fuels digital transformation and modernization, which drives businesses to keep pace in today’s tough economy.

Resources 238
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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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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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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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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!

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The Ultimate Embedded Analytics Guide

Ensure the solution is built on scalable, cost effective infrastructure. However, in order to successfully expose analytics to customers and partners, companies are faced with three main challenges: Manage complex data (big and disparate datasets) quickly. Share data and insights securely.