Conference:  KubeCon + CloudNativeCon North America 2021

Authors: Mayank Kumar

2021-10-15

A small thought experiment in automating the day to day life of a Salesforce engineer became a platform for productivity that was built on top of controller-runtime, CRD’s, kubernetes, kubebuilder and a CLI. Adopting the KRM, made it really easy for them to model their service lifecycle and expose a simplified abstraction that allowed service owners at Salesforce to skip daily mundane tasks and focus on their business logic. In this talk, they will show you how easy it is to use the kubernetes control plane to create control loops that can automate the SDLC of your company . They will also show you how to build an extensible PaaS platform on top of Kubernetes and your company's existing processes that does not constraint the users, but allows the service owners to see through the abstraction. You will not only leave the talk with an even greater appreciation for the KRM model and for the strength of kubernetes apis but also with a recipe for automating the SDLC of YOUR company.

Conference:  Transform X 2021

Authors: Richard Socher

2021-10-07

Richard Socher is the fifth most-cited researcher in Natural Language Processing (NLP) and the CEO of you.com, an ad-free, privacy-preserving search engine. Prior, he was the Chief Scientist (EVP) at Salesforce. He joins Scale AI CEO Alexandr Wang in a fireside chat to discuss how leaders should apply research to production applications. Richard discusses the shrinking gap between pure research and the building of revenue-generating products, where enterprises can avoid the common pitfalls of AI adoption (regardless of industry sector), and the areas of research he is most excited about. He discusses how the changing shape of the internet that led him to create You.com, a new type of intelligent and privacy-preserving internet search engine.

Conference:  Transform X 2021

Authors: Bret Taylor

2021-10-07

The importance of building a data culture and focusing on customer experience in implementing AI in enterprises

• Focusing on customer experience is the right place to start in implementing AI in enterprises
• Clear business value and a defined business case are important in securing funding for AI projects
• Short-term opportunities to make employees more productive with AI should be prioritized
• Creating a data culture is crucial in making data-informed decisions and empowering everyone in the organization
• Automation is a top priority in enterprises to eliminate manual processes