AI For The Enterprise
Wednesday, October 28, 2020
Strategically using AI in business operations comes with an inherent ethical responsibility. This means a multifaceted approach is needed to address it. Ashutosh can explain how using career data from a large enough data set, equal parity algorithms, and audit and monitoring processes creates a transparent system that is independent from bias due to race, gender, ethnicity, age, and other characteristics. Breaking down each of these steps, Ashu can share how combining all of these levers allows candidates to move through the hiring process efficiently, accurately and while significantly reducing the potential for bias. Lastly, Ashu will share how an AI-based hiring process can help enterprises hire for potential, increase diversity, and even contribute to flattening the unemployment curve at scale today and in the future.
Edge computing and AI might suffer from trust and interoperability issues. Edge computing often creates environments more difficult to control. So trust depends on the rightfulness of data used to feed or leverage an AI model. Trust is also the result of being able to validate that an AI model has not been tampered while used in the edge, the same for the result received after computation. Hybride and heterogeneous infrastructures are common in Edge environments. It is key to have platforms managing interoperability in order to allow already existing infrastructures to interact together while managing security and privacy compliances. Blockchain technologies will be presented, through the iExec’ stack, as solutions to address the issues of trust and interoperability AI and Edge computing. Use cases integrating Nvidia GPU for smart sensors will be showcased in order to illustrate concrete implementations.
Building a tech stack in today’s world means constantly making decisions about whether to automate or abstract challenges, but the goals are always the same – simplicity, security and speed. As organizations embrace myriad technologies, such as Kubernetes, to abstract away DevOps challenges, they also increase the need for automation to help them manage increasingly complex processes across platforms. In this session, Kong’s VP of Product Reza Shafii will explore how organizations can use automation to reduce friction in adopting new platforms, eliminate repetitive, error-prone tasks and increase the overall effectiveness of their development teams.