Addressing the Supply Chain Crisis with AI

As the world becomes more connected, APIs are playing a critical role in enabling innovation, business agility, and revenue growth. But success requires delivering on the needs of all stakeholders throughout the API lifecycle. In this demo-driven session, we'll show you how innovations like RESTful API Modeling Language (RAML), APIkit and API notebook put you on the fast track to success. Starting with an idea for a new application, we’ll design an API, connect it to a backend service, apply API management and security, monitor KPIs, and publish it to a rich developer portal that we will create from scratch.

Deployment is a major challenge facing enterprise success in AI. In our last webinar, we discussed why many machine learning models don’t make it into production. On premise solutions face specific difficulties that we will discuss in this webinar. We will discuss best practices of enterprise machine learning, and how to get more of your models to production. While there are many solutions that help streamline the ML deployment process for cloud enterprises, few solutions exist for on premise enterprises. Join Aaron Schneider as he discusses ways to quickly deploy on your own servers or hardware at scale or on any cloud service.

Performance Optimization and Troubleshooting Modern Data Applications With cloud becoming the deployment platform of choice for data pipelines, many IT organizations must now come to grips with what that means for planning, budgeting, migrating and operating big data in the cloud.

The past year saw both public and private sectors embracing digital transformation. The power of AI and the change it can bring about has indeed been a boon in these unprecedented times. Leading enterprises across industries quickly understood the need for change and adopted AI-enabled solutions to drive better and faster decision-making. This trend continued across sectors, from manufacturing to retail.