Molecula & f33.ai Join Forces To Supercharge Your AI / ML
By: Molecula | October 7, 2020
When: October 21, 2020 9:00 AM Pacific Time (US and Canada)
Duration: 60 minutes | Registration required
WHAT YOU’LL GAIN FROM THIS WEBINAR:
1. How to continuously deliver critical business insights leveraging machine learning
2. How to ensure success in your AI / ML projects leveraging a centralized, real-time feature store
3. How to reduce time, resources, headaches in achieving value from AI and machine learning projects.
Molecula, the enterprise feature store simplifying, accelerating, and controlling big data for machine-scale analytics and AI, and Fourteen33 (f33.ai), the boutique services firm specializing in operationalizing machine learning, have come together to offer a joint solution to optimize business operations using AI/ML. This joint solution empowers customers to cost effectively gain business insights from data that was previously too costly to query with the millisecond response times needed by real-time AI/ML systems.
Join the conversation with f33.ai’s CEO, Adam Massey and Molecula’s Director of Product, Sarah King.
Adam Massey is Founder & CEO of F33.ai, a modern technology services company helping customers transform into data science driven enterprises by leveraging machine learning and cloud. F33 specializes in bridging the domains of data science and modern software development, enabling next generation apps, new business models and incredible customer experiences via applied AI. Prior to F33, Adam spent 12 years at Google Cloud where he held key leadership roles and played a key role in developing Google’s fastest growing business segment.
Sarah King leads as Director of Product, and is responsible for driving product strategy for the Molecula enterprise feature store. Former peace ambassador turned tech-enthusiast, Sarah finds incredible value eliminating bottlenecks that prevent enterprises from completing missions that positively impact our world. She is inspired to build products that push our society into the future. Sarah is one of the founding members of Molecula, an enterprise feature store that simplifies, accelerates, and controls big data access to power machine-scale analytics and AI.