AWS Innovate - Data Edition 2022 On-Demand

Make better decisions and innovate faster with your data. Learn how to unlock critical insights from your data and create a strong data foundation for rapid innovation while achieving agility, scalability, and cost-savings. Build a modern data strategy by modernizing your data infrastructure, unifying your data, and innovating new experiences and re-imagining old processes with AI/ML.

Opening Keynote

Reinvent your business with data on the most scalable, trusted, and secure cloud

In this session, learn how AWS solutions can help along the data lifecycle, and hear customer stories of our top use cases.

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Business Leader

Amazon's culture of innovation

In this session, learn about Amazon’s peculiar culture and how we innovate through four distinct, yet interdependent, elements: culture, mechanisms, architecture, and organization.

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Data-driven enterprise: Going from vision to value

Join this session to learn strategies rooted in the first-hand experience of former CXOs on how to overcome these barriers to turn this vision into a reality.

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Data and the C-suite/S-team: How do you use data for bigger-picture decisions?

Learn how AWS and Amazon have developed mechanisms for applying data and analytics to create scalable business efficiencies and address our customers’ most complex challenges.

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Building a smarter organization powered by machine learning

In this session, tailored for business leaders, AWS enterprise strategists share how organizations can apply AI and ML to realize their futures.

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High-velocity decision-making

In this chalk talk, dive into the mechanisms and mental models that help Amazon and AWS make high-velocity and high-quality decisions.

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ML at Amazon.com

In this session, tailored for senior business and technology decision makers, learn about the approach Amazon.com takes to build and scale ML-enabled innovations.

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Technology Leader

Building a modern data strategy

In this session, explore the people and process considerations for building a modern data strategy.

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Analytics market trends

Join this session to hear about emerging trends that AWS is seeing in the analytics market. These trends revolve around data ethics, new architectural patterns, data exchanges, and governance.

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Modern data architecture to accelerate your data strategy

In this session, learn how AWS data storage, database, analytics, and machine learning technologies can help you use data to drive business outcomes.

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Unify data silos by connecting and sharing varied data sources

Learn how to share data in a well governed way across your organizations and regions and through the external data exchange with the latest Amazon Redshift data sharing features.

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Invent experiences and optimize processes with AI/ML

Learn how AWS can help you invent new experiences, predict the future, optimize processes, and reduce costs with AI/ML.

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Accelerating your data journey with AWS and AWS Partners

Join this session if your organization is eager to embark on its digital transformation but is unsure how to get started with minimal business disruptions.

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Data Developer

Getting started with serverless analytics and data lakes

Learn how to get started with analytics in seconds with new serverless options in Amazon EMR, Amazon Redshift, Amazon MSK and Amazon Kinesis.

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Accelerate application development with Amazon Aurora

This session dives into the architecture and features of Amazon Aurora that provide developers a MySQL- and PostgreSQL-compatible database service without the typical database management overhead.

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Amazon OpenSearch Service: Open-source search and analytics flexibility

In this talk, learn what OpenSearch does, how to use it with popular open-source services, how you can use it on and off AWS, & how you can participate to make it perfect for your particular use case.

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Run inference on real-time data streams from Amazon Kinesis

In this session, see how to easily and securely connect Amazon SageMaker Studio notebooks to Amazon EMR to infer from real-time Amazon Kinesis data streams.

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Build scalable applications with purpose-built, NoSQL applications

In this session, review the portfolio of NoSQL databases that are optimized for specific data models and access patterns based on use cases to help you build modern applications on AWS.

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Migrate critical applications to increase business value

In this session, learn about AWS programs, tools, and best practices for migrating your critical applications to the cloud, and discover the business value offered by AWS technologies.

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Data Analyst + BI Professional

Machine Learning for All

Machine learning (ML) is driving innovation through more accurate predictions, reduced operational overhead, and improved customer experiences.

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