Azure AI: Impacting Artificial Intelligence to your Online Business. Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies. Learn how Microsoft Artificial Intelligence makes innovation faster and more accessible. Microsoft AI offers leading intelligent technology tools. The Affiliations include: Adobe, Facebook, Digital Innovation, BP, Icertis, Microsoft.
In this session, you will learn about the new innovations powering Azure AI that you can use today to drive real impact through Microsoft. Deliver immersive experiences by building AI-powered apps and agents, unlock new opportunities with machine learning and discover latent insights with Cognitive Search.
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Related: Microsoft Azure AI in Artificial Intelligence Platform
Learn how Microsoft Artificial Intelligence makes innovation faster in a Conference
These are the Microsoft resource persons that gives educating talks and lecture regarding Azure AI, ML, NHP etc.
Eric Boyd – Azure AI platform leader
Corporate Vice President, Engineering, Microsoft
Microsoft Responsibilities/Contributions – Eric Boyd leads the AI Platform organization in the Cloud + AI division. This organization is responsible for Azure ML, Cognitive Services, ONNX and frameworks, as well as internal platforms providing data, experimentation, and GPU cluster management to groups across Microsoft. Eric has been at Microsoft since 2009 when he joined to create the Silicon Valley Search Ads team. Eric moved to Bellevue in 2011 to lead the Bing Ads Development team prior to taking on his current role in 2015.
Monish Darda – System software developer
CTO, Icertis
Monish Darda Director Co-Founder & Chief Technology Officer Monish has more than 20 years of experience in application and systems software development and the architecting of enterprise distributed systems. He co-founded Websym Technologies in 1998. He also set up and headed the India R&D operation of Storability, an enterprise storage management startup from Boston. Storability was eventually acquired by Sun Microsystems, after which Monish founded and led the India R&D of BladeLogic, helping build a highly scalable enterprise platform.
Manish Naik – Azure AI Innovator
Principal, Digital Innovation, BP
Manish works in Digital Innovation Organisation (DIO) in BP as a Technology Principal. DIO provides fast and efficient application of emerging external digital technology innovation to group business and functions requirements. Manish leads and contributes to a number of technology themes including (but not limited to): Artificial Intelligence (Deep / Machine Learning, NLP, Computer Vision), Blockchain, Connected Devices (Mobile, Wearables, Tracking), & Robotics. Prior to joining BP Manish has held roles in Consulting, Program Management etc.
Jerome Pesenti – Azure AI at Facebook
VP of AI, Facebook
Jerome Pesenti is VP of Artificial Intelligence at Facebook, heading up the company’s AI research and applied AI teams (FAIR and AML, respectively). Jerome has been working in AI for the past 20 years, including as CEO of BenevolentTech, the technology division of BenevolentAI, a British technology company using AI to accelerate scientific discovery. Prior to that role Jerome was VP at IBM Watson, where he led the creation and development of the IBM Watson Platform. Jerome joined IBM after its acquisition of Vivisimo.
Marta DeBellis – Adobe Platform
VP, Customer Success, Adobe
A visionary marketer and customer experience ambassador, Marta believes brands must harness the combination of creativity, content and data to not just connect with, but delight customers, through personalised, relevant experiences. Marta oversees customer success in Adobe’s Digital Experience Business Unit. Her team is responsible for Experience League, Adobe’s enablement platform for Adobe Experience Cloud for customers to get step-by-step skill learning, connections to community and experts and insights on digital transformation.
Updates: New research from Microsoft reveals businesses need to prioritize skills as much as technology to maximize value from AI.