On your journey from reactive to proactive IT operations, you may be unsure where to start. If your organization is lacking visibility into your operations, that’s the best place to begin. Automation and artificial intelligence (AI) can help you gain that needed visibility. AIOps and visibility Artificial intelligence for IT operations (AIOps) offers numerous benefits, including faster response time, improved IT health, and simpler IT management.

Social media conglomerate Meta is the latest tech company to build an “AI supercomputer” — a high-speed computer designed specifically to train machine learning systems. The company says its new AI Research SuperCluster, or RSC, is already among the fastest machines of its type and, when complete in mid-2022, will be the world’s fastest. “Meta has developed what we believe is the world’s fastest AI supercomputer,” said Meta CEO Mark Zuckerberg in a statement.

The term “Industry 4.0” originated from a committee of German technocrats who wanted to make predictions about where technology was headed next. And certainly, it fits nicely in the storyline of the initial Industrial revolution with the rise of machines powered by steam and water, the second revolution sparked by the use of electricity, and the third revolution of automated production with robots.

Observability has gained a lot of momentum in the past year, be it full stack observability or data observability. Modern complex IT systems using clouds, microservices and serverless are easy to develop and deploy but extremely difficult to observe. These systems generate tremendous amounts of data and need an automated way of handling the volume. The next era of delivering customer experience is underpinned by the full stack observability capability.

The topic of artificial intelligence (AI) is wide-ranging and extensive, providing what seems like limitless possibilities for the world of work. As such, it’s easy for leaders to get lost in the excitement of implementing an AI model for their enterprise.

Artificial intelligence has been a hot topic of conversation among agency leaders for some time now, and mass adoption of AI as a valuable marketing tool is already well underway. While brands come up with innovative ways to use AI to meet their strategic business, marketing and sales goals every year, they also learn a lot through trial and error in the process.

Advances in machine learning and NLP have cracked the flood gates open and AI is now emerging as the definitive transformational technology of our times. A recent IDG study found 93% of IT professionals have already deployed or started to explore AI to augment their ITSM and ITOM modernization efforts. Clearly, AI is making its way into our workplaces faster than we imagined.

Researchers discovered that diagnostic artificial intelligence models used to detect cancer were fooled by cyberattacks that falsify medical images. Diagnostic artificial intelligence (AI) models hold promise in clinical research, but a new study conducted by University of Pittsburgh researchers and published in Nature Communications found that cyberattacks using falsified medical images could fool AI models.

It’s true that AI and machine learning have already provided us with some opportunities to transform entrenched methods of recording and monitoring communications in regulated industries. However, to date, most companies’ injection of AI has been limited and solutions have been piecemeal. But that’s all about to change as the rapid expansion in the applications of AI in compliance is just around the corner.

Hari Vats, senior knowledge manager of global technical support at ServiceNow, co-authored this blog. Who wouldn’t want a faster, more relevant search on their knowledge base? Improving search results is tricky. Organizations can spend a lot of time and money making small improvements to very complex, dynamic environments of information. When ServiceNow acquired an AI search technology company in 2020, we were thrilled to see an immediate return.