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.
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.
At a point in time, smart devices and robotics were common elements in the storyline of futuristic fictional novels. Today, those concepts are the modern norm across the technology industry. Similarly, in cybersecurity, pioneering professionals held on to seemingly far-fetched dreams where logs were easy to analyze, and false positives didn’t exist. While these challenges still exist, artificial intelligence (AI) is making these once far-fetched dreams the new norm in the security industry.
Artificial intelligence (AI) is used all around us and if you’ve used some sort of voice activated technology to make your life easier, then there was likely some element of AI involved. Some of the most notable examples include Siri, Amazon Alexa, Google Assistant and Tesla semi-autonomous vehicles. Individual consumers no longer have to fumble around in the dark to flip the light switch at home, manually search playlists for songs, or type in a password to get into smartphones.
Computers are making humans now. Sort of. In a recent discussion at Bulletproof, someone casually mentioned ‘thispersondoesnotexist.com’. It’s a fairly harmless experiment in which AI randomly generates an image of a person who does not exist, thus solving the mystery of the name. This has since prevented me from sleeping at night, not least because I have turned up on it more than once.
Machine learning (ML) technology has the potential to generate tremendous value for businesses. It is already proving itself in the market and powering a growing number of tools across virtually every industry. In order to discuss the current capabilities of ML, we must first examine how it relates to artificial intelligence (AI). Then, we can explore where ML software is today, its real-world applications, and how it’s transforming business.
