The notion that the time we are living in now is “unprecedented” is a common one, but historians and philosophers alike will happily note that things are rarely so different that we can’t learn a lot from the past. Despite IT often being dominated by forward-thinking individuals developing novel and innovative new designs, a lot of the problems and potential solutions for IT security are ones that have stood the test of time.

As the world of AI and deepfake technology grows more complex, the risk that deepfakes pose to firms and individuals grows increasingly potent. This growing sophistication of the latest software and algorithms has allowed malicious hackers, scammers and cyber criminals who work tirelessly behind the scenes to stay one step ahead of the authorities, making the threat of attacks increasingly difficult to both prepare for and defend against.

Pricing can be a thorny task. Pricing challenges and intense competition in ecommerce markets have shot up drastically in the emerging age of internet because of price transparency. There is always a cheaper alternative or a costlier alternative of almost everything you see on an e-commerce website. Any person with a high threshold of time would explore all the options before investing the money into something.

In June 2020, a knife attack at a kindergarten in China injured 39 people, many of them children. The perpetrator was a security guard at the school. This was an insider attack and a horrific act that happens far too often across the world. While the majority of the cybersecurity industry is focused on securing data, the growing convergence of digital and physical security remains unhinged.

Machine learning (ML) used to be a tool limited to specialized developers and dedicated teams. Now, thanks to many web service providers and approachable tooling, your applications can use pre-build learning models and machine learning techniques the same way you would use any web service API. This is a quick way to test out and benefit from machine learning without having to invest in artificial intelligence, building your own learning models, or shaping your application around ML.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we discuss the escalating significance of AI and machine learning in IT security space.

Companies of various sizes have embraced the concept of the lean startup. Organizations are continually looking for ways to save money and stretch limited budgets to the max. Thanks to the growth in diverse applications of artificial intelligence, technology is helping companies achieve this goal.

There’s a lot of talk about the ability of AI and machine learning to augment digital transformation journeys by creating better customer experiences and empowering employees to make decisions using data. However, IT and business leaders can sometimes face analysis paralysis when confronted with this topic because it means something different for every business – and it means shifting an entire company culture towards a new way of working. One key shift is making use of machine data.

Stock sales and trading play a huge role in the U.S. and global economy. Stock exchanges provide the backbone to the economic infrastructure of our nation, as they help companies to expand when they’re ready by offering the general public a chance to invest in company stock. However, investing in the stock market can be a gamble.