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Applied AI for Products

  • Sift - Seattle, WA 1500 4th Ave, Floor 3 Seattle, WA 98101 USA (map)

This session will provide an overview of what every product manager, entrepreneur or business leader needs to know to march into the world of applied machine learning. Learn how you would enhance your customer experience, business strategy or product feature by adopting machine learning models and A.I. New technology brings new challenges both in technology adaptation and mindset change. Our panelists will help you prepare for integrating ML and A.I into your product portfolio and customer engagement strategy by sharing their experiences in developing innovative solutions that revolutionize customer and business outcomes.

Understanding machine learning is not only the responsibility of data scientists. While it is incredibly scientific, much of the value to our world is in the way the business is able to leverage the capability to improve their customers’ experience or business efficiency. To maximize the opportunity machine learning represents, a product leader needs to ensure they ask the right questions, understand the process of developing ML models, and encourage their organization to foster ongoing conversations, continuous improvement, and constant collaboration between disciplines.

The panel we have curated will bring diverse perspectives to the topic of machine learning by addressing the key themes around how to think about what machine learning can do for your product or business. 

Panelists

Shahar Ronen (Product) from Sift - Applied AI and ML software security defense

Shahar Ronen has 15+ years of product, engineering and research experience from. He built and shipped consumer and enterprise products at Microsoft, IBM Research, Philips Medical Systems and Sift, the leader in Digital Trust & Safety. In his current role, Shahar leads product for Sift’s Account Defense, stopping account takeover and fake signups to grow customer revenue without risk. Shahar holds an MS from the Media Lab at the Massachusetts Institute of Technology, and an MA in ancient history and a BS in computer science, both from the University of Haifa. He published several patents and papers, including "Links that speak: the global language network and its association with global fame”, a Science Magazine top 10 science news story for 2015.

Palak Kadakia VP of Product Management at UIPath

Palak Kadakia, VP of Product Management at UIPath, is a passionate and high energy product executive focused on delivering the best customer experiences. She is currently helping drive product vision and strategy for robotic process automation (RPA) and AI. Over her 14 year career, Palak has a track record of building high-functioning teams, creating a customer-focused culture, and driving execution to deliver key value to enterprise customers. Prior to UiPath, she held several roles including product leader at Microsoft working on Customer Relationship Management (CRM) software, Mobile Applications, Business Process Management, Windows Communication Foundation (WCF), and Software as a Service (SaaS). Palak is a strong believer in making people's lives easier via technology and applies that philosophy to every product she builds.

Quaseer Mujawar Sr. Product Manager at Alexa Automotive

Quaseer Mujawar is part of Amazon Alexa’s Automotive team with a goal of making every car a smart car. Think "Alexa, find and pay for gas" or "Alexa, warm up my car". Quaseer has 12+ years of experience in product management, digital strategy, and transforming customer experience at Alexa, Amazon Web Services, UnitedHealth’s AI team and Deloitte Consulting. Prior to Alexa Automotive, Quaseer ran product for AWS Redshift, Amazon Web Service’s big data cloud service, launching nine global regions and increasing doubling revenue. In a previous life, as a manager at Deloitte Consulting, Quaseer led and implemented several technology solutions, that have won ComputerWorld Honors and NASCIO awards among others. Quaseer holds a master's degree in computer science from Cornell University and an MBA from the Anderson School of Management at UCLA.

Moderator

Kavitha Gowda, Senior Product Manager at Azure Microsoft

Kavitha Gowda manages Azure container compute products enabling advanced application modernization and AI workloads. Kavitha has several years of experience in the technology industry with MBA from Wharton school of business. She has extensive experience in product development, launch, and strategy. She aspires to help women grow in business and product management.


Agenda

6:00 - 6:30 pm: Registration & AWIP Welcome

6:30 - 7:15 pm: Panel Discussion

7:15 - 7:30 pm: Q&A

7:30 - 8:00 pm: Networking & Close

Special thanks to our Sponsor - Sift 

Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Airbnb, Patreon, Zoosk, and ChowNow trust Sift to deliver outstanding customer experience while preventing fraud and abuse. The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.

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