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Making the shift from computation to cognition

CIO

Key challenges for AI innovation An eBook by Dell Technologies 2 reveals that the common barriers to entry for AI include 1) skills shortages in data science; 2) the increasing volume and complexities of data work; and 3) lack of processing power and skills that lead to delays in recognizing value from data.

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Navigating the data management maze: How emerging tech and modern solutions are revolutionizing mainframe-to-cloud integration

CIO

Technologies such as AI, cloud computing, and the Internet of Things (IoT), require the right infrastructure to support moving data securely across environments. However, enterprises with integration solutions that coexist with native IT architecture have scalable data capture and synchronization abilities.

Cloud 278
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Key Ways to Cut IT Infrastructure Costs

Kaseya

A major expense that most modern businesses incur is IT infrastructure costs. In fact, based on data in the Spiceworks 2020 State of IT report , hardware and software infrastructure costs are typically about 29% of the IT budget. The post Key Ways to Cut IT Infrastructure Costs appeared first on Kaseya. of revenue.

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Winning With Data in the Fight Against Fraud, Waste, and Abuse

Cloudera

Namely, agency leaders and staff lack the modernized data infrastructure and tooling needed to fight FWA with such massive amounts of money and data flowing through their agencies. A team approach: rich, scalable data analytics from Cloudera, GAI, Dell, and NVIDIA. This exacerbated issues that were already in place.

Data 100
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The Benefits of Cloud Modernization

Datavail

More reliable systems: Since modernized databases and applications have features that are built to use cloud capabilities, they can take advantage of high availability infrastructure that improves their reliability. Download the eBook to learn more about accelerated cloud migration and modernization and how Datavail’s Speed Test can help.

Cloud 98
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Healthcare: Where cloud security can save lives

Lacework

In our new healthcare-specific eBook , we take a closer look at these unique challenges. When combining these benefits with the scalability gained from spreading computing resources across multiple servers and data centers, the fear of running workloads in the cloud fades away. . Cloud-native security with scalability in its DNA.

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3 Technical Innovations Ready to Drive Enterprise AI Adoption

IDC

Additionally, AutoMLs significantly change the traditional training machine learning model workflow behind the scenes and support a scalable deployment without the need for DevOps deep machine learning knowledge. Likewise, AI gets embedded in enterprise infrastructure for intelligence and self-management. Embedded AI.