Dr. Christopher Field is Co-Founder, President, and Principal Investigator at Theia Scientific. With formal education in analytical chemistry and instrumentation, Chris has expertise in scientific hardware and software design, deploying embedded Linux devices for Internet of Things (IoT) and sensor fusion applications, and developing computer vision and image processing pipelines for cell analysis.

Today, IT and site reliability engineering (SRE) teams face pressure to remediate problems faster than ever, within environments that are larger than ever, while contending with architectures that are more complex than ever. In the face of these challenges, artificial intelligence has become a must-have feature for managing complex application performance or availability problems at scale.

With the expansion of remote and hybrid workforce and an ever more complex technology set, it is more important than ever to manage the digital employee experience. But how do we measure digital employee experience? One of the most common ways is to use surveys – for example post-incident surveys or annual customer satisfaction surveys. But these surveys, on their own, can be reactive, time-delayed and limited in scope.

Housetable uses AI and Data Science to predict what customer’s homes will be worth after renovation, to support users in securing financing that takes into account the real value of their property. With its AI-powered renovation intelligence, customers can enjoy a 100% digital experience with quick application via mobile app, dynamic approvals, and integrated payments both from banks and directly to contractors.

Refereeing decisions at the World Cup have been debated decades later. From whether the ball crossed the line in the final in 1966, through Diego Maradona’s “Hand of God” two decades later, to some of the decisions made by the video assistant referee at Russia 2018, any perceived mistake by the referee will be scrutinized by fans years later. Referees need all the help they can get, and they could be about to be given a hand from artificial intelligence.

Going from prototype to production is perilous when it comes to artificial intelligence (AI) and machine learning (ML). However, many organizations struggle moving from a prototype on a single machine to a scalable, production-grade deployment. In fact, research has found that the vast majority—87%—of AI projects never make it into production. And for the few models that are ever deployed, it takes 90 days or more to get there.

Artificial intelligence will have a long-term impact on practically every industry. AI is already in our smartphones, automobiles, healthcare system, and favorite apps, and it will continue to infiltrate many more industries in the near future. If you want to start a career in Artificial Intelligence, IPSpecialist is the perfect place to start.