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Automating and Governing AI over Production Data on Azure - MLOPs Live #14 w/Microsoft

Many enterprises today face numerous challenges around handling data for AI/ML. They find themselves having to manually extract datasets from a variety of sources, which wastes time and resources. In this session, we discuss end-to-end automation of the production pipeline and how to govern AI in an automated way. We touch upon setting up a feedback loop, generating explainable AI and doing all of this — at scale.

ThoughtSpot Everywhere - Build Interactive Data Apps

Create more engaging analytics experiences with search & AI. Businesses today run on apps, and those apps run on data. Too often, however, that data is presented in stale, static dashboards. Users want to be able to surface and explore insights on their own. ThoughtSpot Everywhere is a low-code platform that makes it easy to build interactive data apps or embed search and AI in your existing SaaS apps. And thanks to our flexible APIs, your customers will be able to automatically trigger actions and workflows from the analytical insights they uncover.

Take your mobile monitoring to the next level

While there’s room for debate in what constitutes sufficient monitoring for a mobile app, it’s no question that if you wait long enough for users to report issues, then soon you will have no users. For most mobile development teams, you are not measured against how many features you deliver or bugs you fix, but by how successful your app is and how much value it delivers to users. As a result, you need to know where the app is providing a subpar experience and why.

Challenges of mobile test automation and how to tackle them?

We, engineers, love automation! We love it so much that we devise new ways all the time to incorporate automation in each and every field of software development. Today, automation is like the fuel that keeps the project going and helps us finish within deadlines and allotted budget. But automation is most needed to manage the responsibility of something that is 14.9 billion in number and has become the part and parcel of our lives; the mobile phone. Mobile applications are taking the world by storm.

ClearML hits 1.0

May 3rd 2021 – With over 11 man-years of working, and tinkering, long into the night, I am pleased to announce we have hit version 1.0. Following quickly after the release of ClearML 0.17.5, we added the last remaining features we felt 1.0 needed. Namely multi-model support, as well as improved batch operations. With these in place, the choice was clear. The next version released should be the baseline moving forward.