A Greater Foundation for Machine Learning Engineering: Linear Algebra and Calculus with TensorFlow Who is this presentation for?

This presentation will highlight the essential role of data in the future of AI, particularly in the growth of numerous data-inspired, data-informed, and data-enabled digital technologies, including Robotics, Drones, IoT, 4D-printing, AR/VR, Digital Twins, Autonomous Data-driven Application Systems, and Sustainable Systems. Data science is the methodology by which insights discovery transforms data to action to value, brought to life in autonomous operations at the intelligent edge. As we build the value chain that connects data (inputs) to emerging AI technologies (outcomes), we are building the future of AI.

Overview: Walmart has multiple susbsidiaries and each one of them generates a unique customer id. Our goal is to identify our customers across channels and provide a 360 degree view of the customer. For example, when a customer shops in walmart store and then happen to login to walmart.com, Walmart must be able to identify that customer as an existing store customer. Not only between stores and online world but also across channels, we need the same capability.

Albert Wang is a Director at Qualcomm Ventures and Qualcomm AI Fund. His current investment areas are mobile, cloud, internet of things (IoT), and artificial intelligence (AI). Albert led the investments and currently serves as a board observer for AnyVision, AttackIQ, Avalanche Technology, BlueStacks, Cavendish Kinetics, Lookout, MapR, SteelHouse and Workspot. Previously, Albert led the team's investments in Gaikai (acquired by SONY), PLUMgrid, Bracket Computing (both acquired by VMware), Ineda (acquired by Intel), CurbSide (acquired by Rakuten), and Ring (acquired by Amazon).

This presentation will cover the use of machine learning for maximizing the impact of a hospital readmissions intervention program. With machine learning, clinical care teams can identify and focus their intervention efforts on patients with the highest risk of readmission. The talk will go over the goals, logistics, and considerations for defining, implementing, and measuring our ML driven intervention program. While covering some technical details, this presentation will focus on the business implementation of advanced technology for helping people live healthier lives. Who is this presentation for?

Insurers and other companies are developing new workflows based on images (photos) taken by people in situations that are not controlled. Their intent is to use AIML to analyze these pictures to automate workflows. However, this exposes these companies to potential fraud if these images are manipulated. Verisk has developed a system that leverages state-of-the-art research to automatically detect these manipulations and warn users Who is this presentation for? Data Science and business leaders looking to leverage Computer Vision technologies in their workflows Prerequisite knowledge: None What you'll learn?

Making effective executive decisions about AI deployments does not require immersion in the technology. This presentation will equip executives with a simple mental model to identify where AI can produce top line growth and how to allocate resources for those deployments. Who is this presentation for? Senior Executives and Board Members Prerequisite knowledge: None What you'll learn? How to identify opportunities within your business to use AI to generate new revenue streams.

A growing number of organizations, from the smallest startups to the largest enterprises, all often bring up the same problem in our conversations with them: Even though they want to drive operating costs down, they also need to execute on an increasing volume of work. Some companies respond by deploying more systems. Others try throwing more people at the problem, like third-party contractors. Neither solution is ultimately productive, and both often create operational bottlenecks. We're seeing new AI solutions pop up in various respective industries to tackle the growing issues bubbling up within highly complex working groups.

Dr. Marlene Kolodziej is a recognized leader in the development and implementation of customer-focused transformative technology and support solutions, with over three decades of experience in end-user, infrastructure, network, data center, programming/development, and applications experience. Currently, she is the Assistant Vice President of Service Delivery for Northwell Health in Long Island, New York, providing leadership in the areas of Field Support, Help Desk, Video and Web Conferencing, Mobility, Telehealth, and Innovation. Dr. Kolodziej has broad industry experience, including chemical, publishing, finance, data retention and storage, and healthcare, with a focus on leading and directing global technology and business teams to implement innovative client support solutions that increase standardization, strengthen the organization, and decrease maintenance costs. She has provided strategic worldwide client support services, call center, operations, disaster recovery, and infrastructure management, with a focus on driving operational excellence to ensure that service levels and performance are met or exceeded. Dr. Kolodziej holds a Bachelor's degree in Information Sciences, and has both her Masters and Doctorate in Business Administration.

Swapna is a Product Lead at RBC in Canada, leading their innovation stream to create products and digital solutions using lean methodologies. Her current focus is on solving user identity management, goal based planning, personalization and digital transformation use-cases for RBC. Prior to RBC, Swapna was the Head of Product at a UK-based SaaS Data intelligence company, Klood that provided insights out of complex unstructured datasets to enterprise clients through artificial intelligence. Whilst in Singapore, Swapna was responsible for driving Ecommerce growth for the Asian and European regions for the world's largest publishing company, Scholastic as their Product Manager. She started her career with Accenture, and is a technology buff.