Dynatrace

MARCH 14, 2022

exemplifies this trend, where cloud transformation and artificial intelligence are popular topics. Artificial Intelligence for IT and DevSecOps. This perfect storm of challenges has led to the accelerated adoption of artificial intelligence, including AIOps. Gartner introduced the concept of AIOps in 2016.

Healthcare 234

Healthcare Artificial Intelligence Innovation Strategy 234

Dynatrace

JULY 6, 2022

Developing automation takes time. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. This requires significant data engineering efforts, as well as work to build machine-learning models. Big data automation tools.

Artificial Intelligence 198

Artificial Intelligence Tuning Strategy Big Data 198

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Alex Podelko

DECEMBER 19, 2019

Looking at the program I have the same problem as I always had with CMG conferences – how could I attend all the sessions I want considering that we have multiple tracks? which would be great to attend to keep up with recent developments and their impact on my area. How is DevOps changing the Modern Software Development Landscape? ,

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Testsigma

JULY 14, 2020

Whereas, if the test data is hardcoded in the test scripts, the lines of code increase tremendously and such coding practices compromise on the reusability of the program. Since there are separate folders/locations of the test data and test scripts, there is clarity in the development and maintenance of both.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. At the end of 2018, voice (input) will have already significantly changed the way we develop devices and apps.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76