Machine Learning and Data Science. Algorithm Design/Development.View the profile
Head of AI & Data content strategy for Venturebeat, a leading AI & Data technology focused news and events company. In this capacity, I work with CXO's and BU heads from Fortune500 brands such as Google, Amazon, Salesforce, Chase, Visa, Mastercard, American Express, Goldman Sachs, PayPal, Walmart, Pfizer, Cigna, Adobe, LinkedIn, Uber, among others to deliver thought leadership to the AI & Data community.Founder & CEO of 100Digital.ai, (makers of MHAYA)an early stage, D&I focused startup that leverages latest AI thinking and techniques to solve some of the biggest problems in recruiting & HR, such as redressing the diversity imbalance in the workforce and identifying high quality talent in minutes, not months.Spent two decades in various leadership roles in technology companies such as Cognizant, HP, CSC among others in silicon valley and around the world. Wore multiple hats ranging from Chief Sales Officer, Product Alliances Head, Client Partner, Business Solutions Architect among others. Alum of Stanford Global School of Business, an MBA in marketing with a bachelor's degree in statistics.View the profile
About the talk
AI for Everyone: How LinkedIn Builds Holistic AI at Scale to ensure personalization, inclusivity, and fairness.
LinkedIn serves close to 700 million members in more than 200 countries, and AI is woven into virtually every experience on the site. Last year alone, members viewed nearly 400 billion feed updates, and the rate of content creation on the site is rapidly expanding. To maximize a useful, personalized experience, LinkedIn has to use AI to customize things like a user's feed, job notifications, and learning content.
Romer Rosales, senior director, at LinkedIn leads the AI team whose core responsibility is delivering that personalized experience at scale. We will discuss how he approaches that huge task and how the company is finding success with a uniquely holistic and AI-first approach to system design. This includes the main technology trends that are making his job easier, dealing with the challenges of balancing multiple competing/complementary objectives across products, and how the company is using AI to make their products more inclusive and fair.
He will share some business, technological and organizational insights, challenges and lessons learnt around AI product management that the audience can take away and implement in their businesses.
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