OctoML provides a machine learning deployment platform that ensures you get the best performance at the best price for your production AI/ML workloads. David Messina, Chief Growth Officer and Ian Sawicki, Field Engineering Leader at OctoML, will showcase how their platform empowers organizations of all sizes to make their AI/ML workloads more profitable and sustainable.

Who is it aimed at?

• Technical Decision Makers
• Data Scientists
• ML Engineers
• AI/ML Product Managers

Why should I attend?
You should attend if you are interested in 1/saving over 70% in AI/ML production costs, 2/migrating your AI/ML workloads to your hardware of choice within hours (vs months), and 3/optimizing performance of your models to achieve user experience SLAs on less expensive hardware.

Speakers:
David Messina, OctoML
David is Chief Growth Officer for OctoML, where he works closely with customers and partners to foster the adoption of the leading ML deployment platform. Throughout his 20+ year career, he has worked on category-creating technologies in the fields of containerization, virtualization and networking. Prior to OctoML, David worked at Docker in two roles; first as CMO and later in his tenure as the EVP of Strategic Alliances. During his time as CMO, David and his marketing team helped create the number one most wanted and second most loved developer platform (Stack Overflow).

Ian Sawicki, OctoML
As OctoML's Field Engineering Leader, Ian helps prospects and partners reach the full potential of their ML investments by leveraging the OctoML platform. In his 10+ years as a technology consultant and advisor, he has developed and delivered a diverse array of intelligent applications within the BI, natural-language-generation (“NLG”), and customer-experience spaces. He is
a multiple-startup veteran whose past companies were acquired by Salesforce/Tableau and Qualtrics. At OctoML, Ian is keen to show customers how they can lower their ML-workload cloud costs and reduce model-deployment time.

Ravi Sudhakar Kambhampati, Director WW AI Business Strategy, Microsoft
Ravi has been associated with customers & partners in their digital success through technology for over 19 years. He has spectrum of experiences in business and product management, sales, delivery, consulting, product engineering & support across diverse industry verticals such as financial services, transportation, telecom, IT services.
As part of his charter, Ravi leads the Azure AI business strategy worldwide. He is responsible for promoting, long range planning, positioning of Microsoft Azure AI platform and services across customers, partners.
Ravi has graduated with a Bachelor of Computer science and Engineering and has general management credentials from Indian Institute of Management, Bangalore. Before Microsoft, Ravi was part of Tata Consultancy Services.