Leading organizations around the world are adopting cloud-native technologies to build next-generation products because cloud native gives them the agility that they need to stay ahead of their competition. Although cloud native and Kubernetes are very disruptive technologies, there is another technology that is probably the most disruptive technology of our generation, and that is artificial intelligence (AI) and its subset, machine learning (ML).

Over the last two years a series of unexpected events has scrambled global supply chains. Coronavirus, war in Ukraine, Brexit and a container ship wedged in the Suez Canal have combined to delay deliveries of everything from bicycles to pet food. In response, a growing group of startups and established logistics firms has created a multi-billion dollar industry applying the latest technology to help businesses minimize the disruption.

Forethought is a leading AI company providing solutions that transform the customer experience. As a high-growth startup with 2x annual growth in their engineering team, they faced increasingly complex processes and found that what had worked in the past wasn’t going to cut it anymore.

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.