SentinelOne, an autonomous cybersecurity platform company, unveiled XDR Ingest, a disruptive step in democratizing XDR. XDR Ingest provides SentinelOne customers with a limitless data platform to ingest, retain, correlate, search, and action all enterprise security data – real time and historical, from any source. All Singularity XDR customers receive an included ingestion allocation for data, telemetry, and logs from any external source. Included free of charge is also the ingestion of all SentinelOne native data. Together, XDR Ingest offsets the costs of log storage and eliminates unnecessary data duplication.

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GoTo, the all-in-one business communications and IT support and management platform, announced the promotion of Paddy Srinivasan to President and Chief Executive Officer. In his role as Chief Product and Technology Officer, Srinivasan has been a driving force behind GoTo's recent transformation, and platform unification. He succeeds Board member Mike Kohlsdorf, who has served as CEO since January. "Paddy has played a pivotal role in building GoTo's vision to make IT easy and the associated innovation of GoTo Connect and GoTo Resolve to enable SMB success," said Kohlsdorf. "Paddy and I have worked in close collaboration for several years, and I believe he is uniquely positioned to see GoTo through this pivotal moment of accelerated growth and product innovation."

Data owners receive rewards by uploading data. Matrix 2.0 is suitable for both individual and enterprise users. With its help, algorithm scientists can provide #AI services for profit and rest assured that no one will steal away their ideas. The workflow of MANIA consists of the following parts: #algorithm creation, distributed storage, #blockchain authentication and #NFT#minting. Thanks to features such as immutability and hash encryption, decentralised identity (DID), a previously impossible way of creating digital identities has become available.

In this edition of our Engineer Innovation podcast, we hear from Chad Jackson at Lifecycle Insights in discussion with Siemens Digital Industries Software AI expert, Justin Hodges as they explore the role of machine learning for simulation engineers. Justin breaks down what can seem a daunting area into the key benefits, real-life application examples and most importantly how you can adopt the methodology to see rewards for your simulation projects. Whilst the clearest benefit is the time saved, not only for the simulation process but potentially across the entire design-cycle, that time can then be used to determine even better outcomes and improvements for future product configurations. Chad and Justin explore some real-life examples before diving into how to roll out this methodology in your organization. Ginni Saraswati: Welcome to the Engineer Innovation podcast.

Data and cloud are not virtual technology. They need costly infrastructure and electricity. Researchers forecast that in the future their emissions could be much more than expected. Who does not make us sleep the night? A few weeks ago the UK break the temperature record, for the first time the temperature rose over 40 C. The summer nights are warm and humid and it is hard to sleep on similar days.

"This might be the most important transition of the next century -- either ushering in an unprecedented era of wealth and progress or heralding disaster. But it's also an area that's highly neglected: while billions are spent making AI more powerful, we estimate fewer than 100 people in the world are working on how to make AI safe." Some of the brightest minds and capable organizations of our time are racing toward scaling a technology whose contemporary behavior is poorly understood and whose long-term impact is uncertain. We risk compounding existing harms caused by AI as well as introducing a myriad of new and unexpected threats. We can furthermore hypothesize that artificial general intelligence (AGI) [A] designed with today's techniques will resist being turned off, confined, and controlled as well as fail to defer to human values and preferences.

In 2022, every single thing in Digital Marketing is optimized by Artificial Intelligence, except Creatives. AdCreative.ai is here to change that, to make data-backed, result-bringing ad creatives accessible. Compared to creatives that are not data-backed. Try 100% free for 7 days.

We have all always been attracted by words. They helped create civilizations, helped us distinguish between humans and other animals, and finally helped us program and code machines to do our work at less cost and higher speed and quality. What does the future of words hold when the learning process, assisted by the speed of AI, quadruple our entire human knowledge level every few years. What can we learn from the advancement of language, engineering, and the creative, writing, civilizational, and communication potentials? How can NLP and AI help to properly accelerate this development towards a brighter future?

In this episode of AI For Business Growth, Dr Andree Bates is joined by Guy Gadney, the CEO of Charisma. Charisma believes that AI is a new toolkit for creatives and can be used to inspire ideas, accelerate development, and create new forms of entertainment. To achieve their vision they run writers rooms, co-author papers on the future of AI and storytelling, and partner with universities around the world. Guy explains the use cases for Charisma Ai, how it enhances user content experience, and the problems that Charisma.Ai solves for the entertainment industry. During the pandemic their AI was used to help digitise theatre productions in an immersive way.