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Unlocking Enterprise systems using voice

All Things Distributed

At Amazon, we are heavily invested in machine learning (ML), and are developing new tools to help developers quickly and easily build, train, and deploy ML models. The power of ML is in its ability to unlock a new set of capabilities that create value for consumers and businesses.

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Marketo Integration with Enterprise Systems for Account Based Marketing

IT Toolbox

While Marketo may provide the features and functionality needed for account based marketing, it does not always have access to the necessary data.

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Oracle leverages machine learning to manage, secure enterprise systems

Network World

Oracle is not the first company that comes to mind when you think of enterprise security, but the company announced at its recent OpenWorld conference new products with artificial intelligence (AI) and machine learning capabilities to quickly identify security threats.

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Reimagining service assurance for the 5G era

TM Forum

As enterprise systems and processes begin to embed 5G connectivity, the nature of service assurance will change. Hear the experts sharing insights on how to break down siloes and legacy processes, how to drive out complexity and why the cultural change will be as challenging as technology evolution.

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You'll still get Windows 11 updates on an unsupported system, just don't get used to it

TechSpot

Since the OS was announced, the company has repeatedly underlined that it wants to gradually elevate security for consumers to the same level of that found on enterprise systems. With Windows 11, Microsoft has chosen to split its user base in two. To that end, Microsoft had to enact some.

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Kargo, which powers supply chain visibility with smart loading docks and data, raises $25M

Venture Beast

Kargo has developed a hardware-software platform that captures and aggregates data from physical loading docks and enterprise systems. Read More.

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How CareSource ditched its data silos

CIO Business Intelligence

As companies re-evaluate current IT infrastructures and processes with the goal of creating more efficient, resilient, and intuitive enterprise systems, one thing has become very clear: traditional data warehousing architectures that separate data storage from usage are pretty much obsolete.

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