Systems | Development | Analytics | API | Testing

GenAI for Financial Services - MLOps Live #25 with McKinsey

Generative AI has sparked the imagination with the explosion of tools like ChatGPT, CodePilot and others, highlighting the importance of LLMs as the basis for modern AI applications. However, implementing GenAI in the enterprise is challenging, and it becomes even more difficult for banks, insurance companies, and other financial services companies. Many Financial Service companies are struggling and end up missing out on the great value of GenAI and the competitive edge it can provide.

Is AI Going to Replace QA Jobs? | Sidharth Shukla | #softwaretesting #softwaretestingjobs #qajobs

In this thought-provoking video, Sidharth Shukla delves into the ever-relevant question of whether AI will replace QA jobs. Join him as he explores the nuances of AI's impact on the field of Quality Assurance, addressing concerns and shedding light on the evolving role of testers in an era of artificial intelligence.

Quality Assurance: Who Bears the Responsibility in Your Team? | Vikas Mittal | #softwaretesting

Dive into a thought-provoking discussion with Vikas Mittal, as he explores the critical question of quality responsibility within a team. Drawing insights from a LinkedIn poll, discover who team members believe is responsible for quality and how perceptions shift when accountability comes into play.

API Security - Implementing API Security by Design

In this video, Frank Kilcommins from SmartBear and our special guest, José Haro Peralta, author of "Microservice APIs" demonstrate practical steps, workflow tricks, and the essential tools you need to beef up your API security, from start to finish, including design and development. They recap on the initial Security-By-Design session, to cover OWASP Risks, AuthNZ nuances, Common Design Vulnerabilities before going on a Hands-On walkthrough delivering an API with security in mind from the get go!

Ask Me Anything about Natural Language Query

Guided Natural Language Queries are the next step in the evolution of ad hoc interrogation of data sources. Being able to quickly pose questions to your data without getting into the details of advanced report editing and formatting is a powerful capability that enables on the spot insights for your audience. Simplifying this interrogation does require some consideration and design when enabling data discovery on complex or large data sets.