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Causal AI use cases for modern observability that can transform any business

Dynatrace

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Government.

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How Application of Artificial Intelligence is Transforming Business

Testsigma

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. AI evolves basically around 2 stages of the learning process: 1. Artificial Narrow Intelligence. Almost all artificial machines built to date fall under this category.

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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

These dynamics orchestrate a multifaceted overhaul of the business terrain, including processes and operations, and require teams to explore new approaches. With Grail, organizations can obtain precise answers to their questions – even for questions they haven’t thought of yet.

Azure 179
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Web Development Trends 2019

KeyCDN

Customer Service Chatbots Speaking of which, artificial intelligence has evolved to the point that bots can answer customers’ questions and solve problems more efficiently than humans. Expect to see more complex projects becoming possible without the need for writing a line of code.

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example.

AWS 166
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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

There are many more application areas where we use ML extensively: search, autonomous drones, robotics in fulfillment centers, text processing and speech recognition (such as in Alexa) etc. And this process must be repeated for every object, face, voice, and language feature in an application.

AWS 165