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3 Technical Innovations Ready to Drive Enterprise AI Adoption

IDC

Automated Machine Learning. Automated machine learning (AutomML) is the automation of the end-to-end process of applying machine learning (ML) to real-world problems. All this fast hardware can be expensive and difficult to manage. Embedded AI.

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

Cloudera

These platforms become even more powerful when integrated with AI and machine learning, as well as other forms of automation. Read our ebook : How Agencies Can Combat Fraud, Waste and Abuse by Leveraging an Infrastructure Approach.

Data 98
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CDM 2020: “Operationalizing CDM” Through Risk-Based Vulnerability Management

Tenable

Unauthorized Hardware (UAH) – Hardware devices not assigned to a Federal Information Security Modernization Act (FISMA) container. The solution uses machine learning analytics to correlate vulnerability severity, threat actor activity and asset criticality to predict and manage issues posing the greatest risk. .

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Trusted AI Cornerstones: Performance Evaluation

DataRobot

AI has moved from the realms of theoretical mathematics and advanced hardware to an everyday aspect of life, decisions big and small. Unlike an intrinsic quality such as accuracy or even fairness, trust is a characteristic of the human-machine relationship. At DataRobot , we define the benchmark of AI maturity as AI you can trust.

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Hidden Benefits of an SAP Public Cloud Solution

Protera

New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. Any server can instantly use new public cloud services like machine learning, serverless computing and data lakes, as each new service added into the cloud becomes part of the whole. Download it Now!

Cloud 58
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: [link] Linkedin: [link]. She started her own startup (Cubicus) in 2013.

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Making Remarkable Energy Grids a Reality

CIO

These changes bring new challenges, but advancements in IT automation, artificial intelligence (AI) and machine learning (ML), and edge-computing capabilities will play a key role. Read our latest eBook and view our energy webpage to learn more about exciting advancements in energy.

Energy 278