Deploying software to support the work of an enterprise is an increasingly complex job that’s often referred to as ‘devops.’ When enterprise teams started using artificial intelligence (AI) algorithms to more efficiently and collaboratively run these operations, end users coined the term AIOps for these tasks.
AI/ML is reinventing the reality of many industries, including retail. From brick-and-mortar stores to online marketplaces, retail companies are all increasing their investments in artificial intelligence, in order to gain a competitive advantage, better understand their customers and solve some of their long-lasting problems.
Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. In this edition, we’ll learn what brain-computer interfaces are, their crucial medical applications, and the ethical challenges they pose.
A New Season NFL Football season is upon us. And while I get to spend several hours watching my favorite team, my colleagues at Zebra MotionworksTM are revving up their analysis and insights as "The Official On-Field Player-Tracking Provider" of the NFL. As a fan, I'm amazed by all the information from tracking technology. Besides being cool, it captures data points that weren't even possible before and provides detailed views of players' health and performance.
Smooth payment operations are critical for every merchant’s success. At its most basic level, a seamless and reliable payment process is the key to assuring transaction completion, which is at the very core of a merchant’s financial strength. However, when payment data systems fail to deliver insights about issues regarding approvals, checkouts, fees or fraud, the result is revenue loss and sometimes customer churn.
Digital transformation requires organizational evolution. Constant demand for rapid delivery of upgrades and new products forces change. Surely, the old days of managing monolithic applications housed in private servers are over. Applications consist of virtualized, containerized, and serverless code that’s networked via APIs across a hybrid infrastructure of public and private clouds.
Enterprises struggle to bring AI and automation to the edge due to strict requirements and regulations across verticals. Long-term support, zero-trust security, and built-in functional safety are only a few challenges faced by players who wish to accelerate their technology adoption.
