WEBINAR: How to Maximize the Capabilities of your Data Assets, a Focus on Third-Party Data - 14 September 2022

How to Maximize the Capabilities of your Data Assets, a Focus on Third-Party Data You're invited! When needing to make data-led decisions, businesses have often tried to run before they can walk—in this case, it means teams are not making the most of their data in order to aid their decisions. Third-party data can help to optimize infrastructures and services. Join this webinar to hear from leaders at AWS Data Exchange, Foursquare, and senior industry experts about how leveraging insights from third-party data as part of a wider data strategy can help to provide business growth, increased productivity, and a competitive edge. Register now   WEDNESDAY, SEPT 14   North America 1:00 PM EDT | 10:00 AM PDT   Length: 60 minutes   You will learn: How leveraging the insights of 3P data assists in creating enhanced processes and services The importance of enabling the team as the first step in making the most of data insights Understanding the role of ‘intelligent’ data to aid the decision-making process How to overcome concerns and create trust between wider teams and data-led decisions How AWS Data Exchange and Foursquare services combine to create the ultimate solution in 3P data-led process optimization Who should attend: Chief Data Officers, data scientists, business intelligence, and analytics professionals *The views and opinions of Foursquare and their presenters are their own and do not necessarily reflect the positions of AWS Register now

WEBINAR: Laying the foundation of a Data Lakehouse with AWS Glue, Apache Iceberg and Dremio - 14 July 2022

Laying the foundation of a Data Lakehouse with AWS Glue, Apache Iceberg and Dremio       REGISTER             Thursday, July 14, 2022   9 AM PT / 12 PM ET       Hi there, Moving analytical workloads from the data warehouse to the data lakehouse can save money, make more of your data accessible to your consumers, and provide a better user experience for your data. Three key technologies that enable you to build the foundation of a data lakehouse are AWS Glue, Apache Iceberg, and Dremio. In this webinar, we’ll go through the benefits of a data lakehouse architecture then dive into a live demo where we’ll create Apache Iceberg tables using AWS Glue and then run blazing fast analytics on the table using Dremio.       Speaker         Alex Merced Developer Advocate Dremio

WEBINAR: Top 3 ways IMDb’s third-party data enhances user engagement and experience - 30 June 2022

 

Top 3 ways IMDb’s third-party data enhances user engagement and experience You're invited! In this webinar, AWS joins hands with IMDb to showcase the top 3 ways third-party data improves user engagement and experience. Featuring step-by-step demonstrations and technical use cases, experts in the Media and Entertainment industry share tips on captivating audiences while reducing churn rates. Register now   THURSDAY, JUNE 30     North America 2:00 PM EDT | 11:00 AM PDT Length: 60 minutes   You will learn: How third-party data provides additional context to first-party data Solutions to common data analytics challenges Ways that IMDb’s metadata on more than 12M+ cast and crew and 8M+ movie and TV titles can help you create better experiences for your users How easy-to-learn AWS services, such as Amazon Neptune and Amazon Personalize, provide additional resources to improve customer satisfaction How to find, discover, and use third-party data and APIs from AWS Data Exchange Who should attend: BI managers and executives, product managers, Heads of Marketing, CMOs, Chief Data Officers, data scientists *The views and opinions of IMDb and their presenters are their own and do not necessarily reflect the positions of AWS Register now

WEBINAR: Using third-party healthcare data to accelerate drug discovery and clinical trial protocol design - 27 August 2021

 

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NEWSLETTER . Using third-party healthcare data to accelerate drug discovery and clinical trial protocol design REGISTER NOW . You’re Invited! FRIDAY, AUGUST 27 11AM PT | 2PM ET 60 MIN SESSION REGISTER NOW Join this webinar to learn how to leverage external healthcare datasets to make faster decisions with greater accuracy – accelerating biomedical development and improving patient welfare. In this virtual session, AWS Data Exchange will host a panel discussion with thought-leaders from healthcare powerhouse companies like QIAGEN and IBM Watson Health. Learn about the critical role third-party datasets have played in the evolution of the healthcare and life sciences industry. Key takeaways include: Incorporating QIAGEN molecular and genomics data into the biomedical research and development process Re-designing clinical trials to maximize patient and provider enrollment of patients with IBM Watson Health data Extracting more meaningful insights from your healthcare data by leveraging machine-learning algorithms Streamlining the integration, access, and analysis of diverse datasets by utilizing AWS Data Exchange Moderator Fred Lee, MD, MPH Healthcare & Life Sciences Leader, AWS Data Exchange Dr. Lee provides physician leadership for AWS Data Exchange where he is focused on transforming and disrupting the exchange of healthcare and life sciences data towards a cloud-native, socially responsible, economically sustainable, and privacy-preserving state. Fred brings a broad range of professional experience to this role, having served as a practicing academic physician, a health system executive, founder of a precision medicine startup, an industry market strategy executive, and as an industry leader for precision medicine and real-world evidence in the healthcare and life sciences sectors. Fred is a member of the American Medical Informatics Association and is an Industry Advisory Board appointee for the Cancer Informatics Society. He received his MD from Stony Brook School of Medicine, his MPH from the Columbia Mailman School of Public Health, and is a licensed physician in the state of New York, with a clinical background in general surgery and preventive medicine. Presenters Matt Newman, PhD Vice President of Business Development and Professional Services, QIAGEN Matt Newman is the Vice President of Business Development & Professional Services at QIAGEN Digital Insight, specializing in partnerships for bioinformatics software and data solutions, as well as helping to lead the QIAGEN Digital Insights Professional Services organization. Before joining QIAGEN, Matt helped to form OmicSoft Corporation, specializing in software and data services for the analysis of genomic datasets. OmicSoft Corporation was acquired In January 2017. Prior to OmicSoft, Matt worked in the lab at Glaxo Smith Kline, utilizing skills learned with a BS from Penn State University. Luke Boulanger, MA, MBA Lead Offering Manager for MarketScan Databases, IBM Watson Health Luke Boulanger is an academically trained health economist, specializing in health economics and outcomes research for approximately 25 years and focuses on the design, implementation, and dissemination of real-world observational studies. Leveraging his extensive experience in several therapeutic areas, Luke directs hybrid and retrospective studies, analyzing and synthesizing clinical and economic data from a wide variety of sources. Luke has authored over 45 peer-reviewed publications in journals like Diabetes Care, COPD, HIV Medicine, Annals of Pharmacotherapy, and Neurology and is currently a PhD candidate in economics. Kanchan Waikar Senior Solutions Architect, AWS Kanchan Waikar is a Senior Solutions Architect for the AWS Marketplace for Machine Learning team with over 14 years of experience building, architecting, and managing NLP and software development projects. With a Master of Science in Computer Science, Kanchan uses her passion for data science to help customers harness the power of machine learning to build more effective AWS architectures *The views and opinions of QIAGEN and IBM Watson Health and their presenters are their own and do not necessarily reflect the positions of AWS

WEBINAR: How Yum! Brands uses location data from Foursquare to make smarter decisions 06 May 2021

. How Yum! Brands uses location data from Foursquare to make smarter decisions REGISTER NOW . You’re Invited! THURSDAY, MAY 6 11AM PT | 2PM ET 60 MIN SESSION REGISTER NOW Join this webinar to discover how Yum! Brands and other organizations are leveraging location-based data to boost in-app location accuracy, increase in-store foot traffic, and expand ecommerce business. Data and analytics leaders are using third-party data to transform the way they innovate and improve customer experiences. Learn how Yum! Brands is optimizing site selection decisions using Foursquare location data to better understand how local landscapes in foreign market trade areas impact business outcomes. Attendees will learn: How data providers, such as Foursquare, can pinpoint firmographic details such as venue name, address, and category as well as rich content attributes such as photos, reviews, and tips The value received from leveraging ‘visits’ data that provides insight into certain categories, chains, or individual venues How to improve data pipelines for assessing high quality and relevant location-based, third-party data Data analysis strategies as they apply to faster insights and business outcomes Techniques to distill key insights into data visualization tools How and why diverse data can enrich analytics Webinar speakers: Nikhil Jain Senior Director of Decision Sciences, Yum! Brands Nikhil is responsible for all data science and engineering-related initiatives globally, across all the brands. His team focuses on building AI/ML-driven products to solve complex business problems which are used by brands and franchisees globally. Rob Jonas Chief Revenue Officer, Foursquare As Chief Revenue Officer, Rob is responsible for all sales, partnerships, business development, and international markets across Foursquare’s complete product portfolio, driving revenue growth through multi-product customer relationships with leading global brands and enterprises. Noah Schwartz General Manager, Product and Engineering, AWS Data Exchange Noah Schwartz is the GM of Product and Engineering for AWS Data Exchange. He joined AWS in 2017 and has spent most of his career in a role building technology to generate or use data to answer questions across FSI, CPG, and Sports while working at Bloomberg, Dow Jones, and Palantir. Prior to joining AWS, he was the CTO of Bloomberg Sports, Head of R&D at Dow Jones, and Head of Engineering for Risk & Regulatory Data at Bloomberg. Colin Marden Solution Architect, AWS Colin Marden is a Solutions Architect in the Financial Services industry supporting AWS customers in their journey to modernize, transform, and migrate on-premises workloads to the AWS Cloud. Colin is a champion and specialist for Amazon QuickSight and AWS Data Exchange. He regularly works with AWS customers to create data engineering architectures and speaks at AWS and partner events on these subjects of interest. REGISTER NOW © 2021 AWS Marketplace.