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3 Technical Innovations Ready to Drive Enterprise AI Adoption

IDC

While we’ve discussed the disruptive power that artificial intelligence (AI) applications bring to enterprise organizations, the truth is that AI adoption is still low for these businesses. Automated Machine Learning. Likewise, AI gets embedded in enterprise infrastructure for intelligence and self-management.

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3 Ways the Threat Landscape Is Changing

Palo Alto Networks

These vulnerabilities range from adapting legacy security tools for cloud usage to potential misconfigurations in cloud infrastructure. A New Era of Malicious Tools Artificial intelligence is the number one buzzword of 2023, and for good reason.

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What is AIOps?

CircleCI

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Take cloud misconfiguration, for example.

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Upskilling And Reskilling: Ready To Future-Proof Your Workforce?

Hacker Earth Developers Blog

Adapting to new technology such as when rewriting their code base or changing their underlying infrastructure. AT&T implemented a comprehensive training and development program called Workforce 2020 , which aimed to upskill its employees in emerging technologies, such as cloud computing, big data analytics, and machine learning.

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Accessing Kafka’s Real-Time Analytics Is Easier Than Ever

TIBCO - Connected Intelligence

Whether it’s an analyst doing reports or a data scientist applying machine learning methods to the data, they’re usually viewing it in aggregate from a traditional database, and typically don’t get to interact with it in its natural and most useful form—real-time. The Problem with Kafka: Accessing Real-Time Information.

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How Healthcare Can Meet the Challenges of Cloud Migration and Reap Optimal Benefits

TIBCO - Connected Intelligence

Cloud computing allows health centers to use remotely accessible servers to store large data volumes securely without infrastructural costs and operational expenses. According to several studies, 88 percent of healthcare organizations that have implemented cloud computing have realized a drop in infrastructure expenses of 20 percent or more.

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Revisiting Our Digital Transformation Predictions for 2021

Modus Create

Wider adoption of AI (Artificial Intelligence) and ML (Machine Learning) technologies. For example, EDR recently executed an Agile transformation and created a more efficient DevOps infrastructure. You can explore our predictions in detail in this eBook. . Continued adoption of true Agile practices.