Driving Easier AI Development with the Kibernetika Machine Teaching Engine - Intel on AI episode 12
17 Apr 2019
About this Podcast
Leonard Sheiba, the Founder and CEO of Kibernetika*, joins Intel on AI to talk about the challenges many organizations face when developing artificial intelligence (AI) solutions especially within an enterprise environment at scale. He points out that AI enabled software components like datasets, models, training, and serving involve continuous validation and retraining to work properly and require maintaining a strict process flow to develop in an enterprise environment. Leonard illustrates how the Kibernetika Machine Teaching Engine* is an end-to-end platform that manages the entire AI development workflow from concept through decommission. He describes how their platform can serve many organizations and industry verticals including telecom, healthcare, and nearly any enterprise AI deployment. Lastly, Leonard highlights how the Kibernetika platform runs on Intel® Xeon Scalable processors driving the power and efficiency that Kibernetika's customers need. To learn more, visit www.kibernetika.ai.