All posts by Anna Montalat

Strengthening security in the era of generative AI: Must-attend sessions at re:Invent 2024

Post Syndicated from Anna Montalat original https://aws.amazon.com/blogs/security/strengthening-security-in-the-era-of-generative-ai-must-attend-sessions-at-reinvent-2024/

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AWS re:Invent 2024, December 2-6, 2024 | Las Vegas, NV

Generative AI is transforming industries in new and exciting ways every single day. At Amazon Web Services (AWS), security is our top priority, and we see security as a foundational enabler for organizations looking to innovate. As you prepare for AWS re:Invent 2024, make sure that these essential sessions are on your schedule to learn how security can help your organization innovate with generative AI solutions quickly and securely. Leading experts will provide deep insights into how you can secure generative AI workloads in order to protect data and navigate governance, risk, and compliance.

In this post, we’ve highlighted some of our must-attend sessions and favorite activities for security leaders and practitioners, technical decision-makers, and artificial intelligence and machine learning (AI/ML) builders. To join in on the fun, register here, and we’ll see you in Vegas!

Keynotes and innovation talks

The AWS re:Invent 2024 keynote and innovation talks offer the opportunity to gain direct, transformative insights from senior AWS leaders. Delve into the latest breakthroughs in generative AI, cloud security, and cutting-edge architectural innovations that are redefining the future of application development and the AWS Cloud.

  • KEY002 – CEO Keynote with Matt Garman. Discover how AWS is innovating across the cloud, from reinventing core services to creating new experiences, empowering customers and partners to build a secure and better future.
  • SEC203-INT – Security insights and innovation from AWS with Chris Betz. Discover how groundbreaking security innovations and generative AI empower your organization to accelerate innovation securely, as AWS CISO Chris Betz reveals transformative strategies to integrate and automate security, freeing your team to focus on high-value initiatives.
  • ARC203-INT – Architectural methods & breakthroughs in innovative apps in the cloud with Shaown Nandi and Ben Cabanas. This talk showcases how generative AI and cutting-edge architectural advancements are transforming application design, empowering AWS customers to modernize their systems, develop robust data strategies, and securely navigate the evolving cloud landscape.
  • Check out the full list of innovation talks. Not attending live this year? The keynote and all innovation talks will be live streamed.

Sessions

Discover a range of learning opportunities designed to deepen your expertise in securing generative AI. This year’s sessions put a strong focus on providing customers with impactful real-world, practical prescriptions for securing your AI workloads and the data that powers them. Whether you prefer lecture-style breakout sessions, interactive chalk talks, hands-on workshops, or code-driven discussions, there’s a session tailored to help meet your needs. Explore the following options and reserve your spot to enhance your understanding and practical skills in this rapidly evolving field.

You can find more details and descriptions for session levels (100–400) and session types on the re:Invent website.

Breakout sessions

Breakout sessions are lecture-style, 1-hour sessions delivered by AWS experts, customers, and partners—perfect for deepening your knowledge on important topics, gaining actionable insights, and connecting with industry leaders.

  • SEC214 –Elevating client experiences with secure AI: Rocket Mortgage’s approach. Discover how Rocket Mortgage implemented AWS generative AI services to enhance customer experiences while navigating security challenges. Register for this session
  • SEC315 – Bring your workforce identities to AWS for generative AI and analytics. This session will demonstrate the power of integrating your workforce identity provider to gain easier access to generative AI applications and tools. AWS and NVIDIA will demonstrate a full end-to-end identity-aware experience. Register for this session
  • SEC323 –The AWS approach to secure generative AI. Learn how AWS secures generative AI across the infrastructure, model, and application layers, giving customers control over their data with built-in security features. Register for this session
  • SEC403 –Generative AI for security in the real world. Explore practical generative AI applications for security teams, including incident response, red team/blue team enablement, and security operations center (SOC) use cases, to boost your security operations. Register for this session

Chalk talks

Chalk talks are 1-hour long, highly interactive sessions with a small audience. This format is ideal for diving deep into specific topics, engaging directly with AWS experts, and getting your questions answered in real time.

  • SEC303 – Protecting data within your generative AI architectures. Mitigate risks when training large language models (LLMs) on sensitive data. Explore techniques like sanitization, anonymization, and differential privacy. Register for this talk
  • SEC327 – Building secure network designs for gen AI applications. Optimize your cloud network design to power transformative generative AI applications more securely, as we share proven best practices, proactive controls, and reference architectures to build resilient, defense-in-depth architectures and accelerate innovation on AWS. Register for this talk
  • SEC335 –Harness generative AI for business growth amidst the regulatory landscape. Explore how AWS AI/ML solutions can drive business growth while helping you align to responsible practices. Learn from your peers about their strategies to navigate evolving regulatory landscapes, from the European Union’s General Data Protection Regulation (GDPR) to industry-specific mandates. Register for this talk
  • SEC336 –Security and compliance considerations using Amazon Q Business. Discover best practices for securing your Amazon Q Business application, focusing on access control, data protection, and compliance considerations, so that you can keep your AI assistant secure and compliant. Register for this talk
  • SEC338 –Safeguard your generative AI apps from prompt injections. Learn to protect your generative AI applications from prompt injection attacks by understanding input validation, secure prompt engineering, and content moderation. Register for this talk
  • PEX308 – Securing generative AI on AWS. Explore generative AI security considerations through a partner lens, including how partners can enhance data security and the value-adds that partners bring to a customer’s generative AI workloads. Register for this talk
  • AIM344 – Understanding the deep security controls within Amazon Q Business. Learn about the security-related capabilities and controls within Amazon Q that allow you to confidently use your business data safely. Register for this talk
  • AIM407 – Understand the deep security controls within Amazon Bedrock. Dive deep into the security nuances of Amazon Bedrock, as we unpack the architectures, data flows, and lifecycle management of complex features like Guardrails, Agents, and Knowledge Bases, empowering you to use this generative AI service with uncompromising data privacy and control. Register for this talk
  • DEV323 – OWASP Top 10 for LLMs. Strengthen your skills in securing generative AI applications by exploring real-world vulnerabilities and proven mitigation strategies against the OWASP Top 10 risks for large language models (LLMs), through interactive demos and hands-on exercises. Register for this talk

Code talks

Code talks are similar to our popular chalk talk format, but with a focus on live coding or code samples rather than whiteboarding. These sessions look into the actual code used to build a solution, allowing attendees to understand the “why” behind the approach and witness the development process, including any errors that may arise. Participants are encouraged to ask questions and follow along for a deeper, hands-on learning experience.

  • SEC401 – Inspect and secure your application with generative AI. Harness the power of generative AI to bolster your application security, as we unveil how AI-driven tools can rapidly detect vulnerabilities and recommend remediation strategies, empowering you to build more secure software with ease. Register for this talk
  • SEC405 – Consolidated data protection insights with generative AI. Discover how to secure your AWS KMS keys across your accounts by using Amazon Q in QuickSight for quick, actionable insights. Register for this talk

Builders’ sessions

Interact with small groups, led by an AWS expert providing interactive learning about how to build on AWS. Each builders’ session begins with a short explanation or demonstration of what attendees are building, then it’s your turn to build! The expert will guide you end-to-end through this hands-on experience.

Note: You must bring your own laptop to participate in these sessions.

  • DOP302 – Creating secure code with Amazon Q Developer. Supercharge your coding prowess with Amazon Q Developer, as you gain hands-on experience using its AI-powered capabilities to write more secure, optimized code, detect vulnerabilities, and implement instant remediations—transforming your development workflow. Register for this session
  • SMB302 – Empower your business with defense-in-depth architecture. Empower your small-to-medium business to innovate more securely with generative AI by exploring practical, cost-effective defense-in-depth strategies, layered security architectures, and AI-specific safeguards to build resilient, trusted AI-powered solutions in the AWS Cloud. Register for this session

Workshops

Workshops are 2-hour interactive sessions where you collaborate in teams or work individually to solve real-world challenges by using AWS services, making them perfect for hands-on learning. Each workshop begins with a brief lecture, followed by dedicated time to work through the problem.

Note: Don’t forget to bring your laptop to build alongside AWS experts.

  • SEC305 – Generative AI-based code remediations and patch management at scale. Experience hands-on how to use generative AI to assist in automating vulnerability detection and remediation across AWS Lambda, containers, and Amazon Elastic Compute Cloud (Amazon EC2) at scale, empowering your team to proactively secure your applications. Register for this workshop
  • SEC306 – Securing your generative AI applications on AWS. Gain hands-on experience securing generative AI applications by using AWS services and features. Deploy a vulnerable sample AI app, then implement layered security controls to protect, detect, and respond to issues. Use these best practices to secure your own AI apps when you return home! Register for this workshop
  • SEC309 – AWS IAM Identity Center: Secure access to generative AI applications. You’ll learn how to build an identity-aware chat experience, train it on a sample dataset, and connect it to an external workforce identity provider by using native integration between Amazon Q Business and AWS Identity and Access Management (IAM) Identity Center. Register for this workshop
  • SEC310 – Persona-based access to enterprise data for generative AI applications. Learn how to secure document access in generative AI applications by using retrieval augmented generation (RAG), metadata filtering, and Amazon Cognito in this interactive workshop. Register for this workshop

Expo

Want to talk directly with an AWS security expert on generative AI security, or a variety of other security topics? Then don’t miss this opportunity to have one-on-one conversations with leading AWS security experts in the Security Activation area of the expo floor to help you take your organization’s security posture to new heights.

Delve into key security domains such as:

  • Detection and Response: Explore techniques for detecting and responding to security risks to help protect your workloads at scale.
  • Network and Infrastructure Security: Learn how to build and manage a secure global network with AWS services.
  • Application Security: Discover strategies to ship secure software and address the challenges of application security.
  • Identity and Access Management: Adopt modern cloud-native identity solutions and apply least-privilege access controls.
  • Digital Sovereignty & Data Protection: Maintain control over your data and choose how to secure and manage it in the AWS Cloud.

Still time for fun!

After an inspiring week of transformative insights and deep learning, join us for the world renowned re:Play party—the ultimate re:Invent sendoff! Immerse yourself in live entertainment from headlining musical artists, scrumptious cuisine, and flowing refreshments as we come together to unwind, connect, and toast to a future of limitless possibilities.

Register today

It’s going to be an amazing event, and we can’t wait to see you at re:Invent 2024! Register now to secure your spot.

 
If you have feedback about this post, submit comments in the Comments section below. If you have questions about this post, contact AWS Support.
 

Anna Montalat
Anna Montalat

Anna is a Senior Product Marketing Manager for AWS generative AI security, which includes helping customers securely deploy Amazon Bedrock, Amazon SageMaker, Amazon Q, and other AI/ML solutions. She is passionate about bringing new and emerging technologies to market, working closely with service teams and enterprise customers. Outside of work, Anna skis through wintertime and sails through summer.
Matt Saner
Matt Saner

As a Senior Manager at AWS, Matt leads a team of security specialists who help the world’s most complex organizations tackle critical security challenges. Matt and his team work to transform security organizations into strategic business enablers. Before joining AWS, Matt spent close to two decades in the financial services industry. Outside of work, Matt is a pilot who finds joy in flying general aviation aircraft.

AWS named a Leader in IDC MarketScape: Worldwide Analytic Stream Processing Software 2024 Vendor Assessment

Post Syndicated from Anna Montalat original https://aws.amazon.com/blogs/big-data/aws-named-a-leader-in-idc-marketscape-worldwide-analytic-stream-processing-software-2024-vendor-assessment/

We’re thrilled to announce that AWS has been named a Leader in the IDC MarketScape: Worldwide Analytic Stream Processing Software 2024 Vendor Assessment (doc #US51053123, March 2024).

We believe this recognition validates the power and performance of Apache Flink for real-time data processing, and how AWS is leading the way to help customers build and run fully managed Apache Flink applications. You can read the full report from IDC.

Unleashing real-time insights for your organization

Apache Flink’s robust architecture enables real-time data processing at scale, making it a favored choice among organizations for its efficiency and speed. With its advanced features for event time processing and state management, Apache Flink empowers users to build complex stream processing applications, making it indispensable for modern data-driven organizations. Managed Service for Apache Flink takes the complexity out of Apache Flink deployment and management, letting you focus on building game-changing applications. With Managed Service for Apache Flink, you can transform and analyze streaming data in real time using Apache Flink and integrate applications with other AWS services. There are no servers and clusters to manage, and there is no compute and storage infrastructure to set up. You pay only for the resources you use.

But what does this mean for your organizations and IT teams? The following are some use cases and benefits:

  • Faster insights, quicker action – Analyze data streams as they arrive, allowing you to react promptly to changing conditions and make informed decisions based on the latest information, achieving agility and competitiveness in dynamic markets.
  • Real-time fraud detection – Identify suspicious activity the moment it occurs, enabling proactive measures to protect your customers and revenue from potential financial losses, bolstering trust and security in your business operations.
  • Personalized customer interactions – Gain insights from user behavior in real time, enabling personalized experiences and the ability to proactively address potential issues before they impact customer satisfaction, fostering loyalty and enhancing brand reputation.
  • Data-driven optimization – Utilize real-time insights from sensor data and machine logs to streamline processes, identify inefficiencies, and optimize resource allocation, driving operational excellence and cost savings while maintaining peak performance.
  • Advanced AI – Continuously feed real-time data to your machine learning (ML) and generative artificial intelligence (AI) models, allowing them to adapt and personalize outputs for more relevant and impactful results.

Beyond the buzzword: Apache Flink in action

Apache Flink’s versatility extends beyond single use cases. The following are just a few examples of how our customers are taking advantage of its capabilities:

  • The National Hockey League is the second oldest of the four major professional team sports leagues in North America. Predicting events such as face-off winning probabilities during a live game is a complex task that requires processing a significant amount of quality historical data and data streams in real time. The NHL constructed the Face-off Probability model using Apache Flink. Managed Service for Apache Flink provides the underlying infrastructure for the Apache Flink applications, removing the need to self-manage an Apache Flink cluster and reducing maintenance complexity and costs.
  • Arity is a technology company focused on making transportation smarter, safer, and more useful. They transform massive amounts of data into actionable insights to help partners better predict risk and make smarter decisions in real time. Arity uses the managed ability of Managed Service for Apache Flink to transform and analyze streaming data in near real time using Apache Flink. On Managed Service for Apache Flink, Arity generates driving behavior insights based on collated driving data.
  • SOCAR is the leading Korean mobility company with strong competitiveness in car sharing. SOCAR solves mobility-related social problems, such as parking difficulties and traffic congestion, and changes the car ownership-oriented mobility habits in Korea.

Join the leaders in stream processing

By choosing Managed Service for Apache Flink, you’re joining a growing community of organizations who are unlocking the power of real-time data analysis. Get started today and see how Apache Flink can transform your data strategy, including powering the next generation of generative AI applications.

Ready to learn more?

Contact us today and discover how Apache Flink can empower your business.

About the author

Anna Montalat is the Product Marketing lead for AWS analytics and streaming data services, including Amazon Managed Streaming for Apache Kafka (MSK), Kinesis Data Streams, Kinesis Video Streams, Amazon Data Firehose, and Amazon Managed Service for Apache Flink, among others. She is passionate about bringing new and emerging technologies to market, working closely with service teams and enterprise customers. Outside of work, Anna skis through winter time and sails through summer.

Real-time streaming data top picks you cannot miss at AWS re:Invent 2023

Post Syndicated from Anna Montalat original https://aws.amazon.com/blogs/big-data/real-time-streaming-data-top-picks-you-cannot-miss-at-aws-reinvent-2023/

Save the date: AWS re:Invent 2023 is happening from November 27 to December 1 in Las Vegas, and you cannot miss it. re:Invent is a learning conference organized by AWS for the global cloud computing community. It’s a great opportunity to come together with cloud enthusiasts from around the world to hear about the latest cloud industry innovations, meet with AWS experts, have fun, and build connections.

Join us as we delve into the world of real-time streaming data at re:Invent 2023 and discover how you can use real-time streaming data to build new use cases, optimize existing projects and processes, and reimagine what’s possible. In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. High-quality data is not just about accuracy; it’s also about timeliness. To derive meaningful insights and ensure the optimal performance of machine learning (ML) and generative AI models, data needs to be ingested and processed in real time. Real-time data empowers these models to adapt and respond instantaneously to changing scenarios, making them not just smarter but also more practical. With real-time streaming data, organizations can reimagine what’s possible. From enabling predictive maintenance in manufacturing to delivering hyper-personalized content in the media and entertainment industry, and from real-time fraud detection in finance to precision agriculture in farming, the potential applications are vast.

This post will help you plan your re:Invent experience by highlighting the essential sessions on real-time streaming data and beyond that you shouldn’t miss. To attend these sessions, be sure to register for re:Invent and access the session catalog. Register now!

Keynotes and Innovation Talk sessions you cannot miss!

Don’t miss your chance to hear from some of the leading voices in AWS. Here are some of our favorite keynotes and Innovation Talk sessions.

Adam Selipsky, Chief Executive Officer of Amazon Web Services – Keynote

Tuesday, November 28 | 8:30 AM – 10:30 AM PST | The Venetian

Join Adam Selipsky, CEO of Amazon Web Services, as he shares his perspective on cloud transformation. He highlights innovations in data, infrastructure, and artificial intelligence and machine learning that are helping AWS customers achieve their goals faster, mine untapped potential, and create a better future.

Reserve your seat now!

Swami Sivasubramanian, Vice President of AWS Data and AI– Keynote

Wednesday, November 29 | 8:30 AM – 10:30 AM PST | The Venetian

Join Swami Sivasubramanian, Vice President of Data and AI at AWS, to discover how you can use your company’s data to build differentiated generative AI applications and accelerate productivity for employees across your organization. Also hear from customer speakers with real-world examples of how they’ve used their data to support their generative AI use cases and create new experiences for their customers.

Reserve your seat now!

Putting your data to work with generative AI – Innovation Talk

Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian

Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Explore strategies for putting your proprietary datasets to work when building unique, differentiated generative AI solutions. Learn how to utilize your datasets using Amazon SageMaker and Amazon Bedrock and popular frameworks like PyTorch with AWS compute, storage, and analytics. Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. Also hear different architectural patterns that customers use today to harness their business data for customized generative AI solutions.

Reserve your seat now!

Data drives transformation: Data foundations with AWS analytics – Innovation Talk

Thursday, November 30 | 2:00 – 3:00 PM PST | The Venetian

Join G2 Krishnamoorthy, Vice President of AWS Analytics, to discuss strategies for embedding analytics into your applications and ideas for building a data foundation that supports your business initiatives. With new capabilities for self-service and simpler builder experiences, you can democratize data access for line-of-business users, analysts, scientists, and engineers. Hear inspiring stories from adidas, GlobalFoundries, and the University of California, Irvine.

Reserve your seat now!

Breakout sessions

Deepen your learning with re:Invent breakout sessions. re:Invent breakout sessions are lecture-style and 1 hour long. These sessions take place across the re:Invent campus and cover all topics at all levels. The following are some of our favorites:

  • Accelerate innovation with real-time data: Join Mindy Ferguson, Vice President of Streaming and Messaging at AWS, and Arvinth Ravi, General Manager of Amazon Kinesis Data Streams, in this session that highlights the importance of implementing ubiquitous real-time data strategies to gain a competitive edge. Discover the latest launches in AWS streaming data services, gain insights into real-world applications, and explore how you can use them to solve a variety of use cases to make quick, real-time decisions to optimize costs, increase customer engagement, and drive growth. Reserve your seat now!
  • How Rivian builds real-time analytics from electric vehicles: Learn how Rivian’s vehicle data platform team uses Amazon MSK and other AWS analytics services to build a secure, scalable, cost-effective, and extensible data platform that powers different teams across the organization. Reserve your seat now!
  • Serverless data streaming: Amazon Kinesis Data Streams and AWS Lambda: Explore the intricacies of creating scalable, production-ready data streaming architectures using Amazon Kinesis Data Streams and AWS Lambda. Delve into tips and best practices essential to navigating the challenges and pitfalls inherent to distributed systems that arise along the way, and observe how AWS services work and interact. Reserve your seat now!
  • Break down data silos using real-time synchronization with Flink CDC: Learn how, by using Flink CDC on AWS, you can simplify real-time synchronization and ingestion across transactional databases and finally break down data silos. Reserve your seat now!
  • Scaling serverless data processing with Amazon Kinesis and Apache Kafka: Explore how to build scalable data processing applications using AWS Lambda. Learn practical insights into integrating Lambda with Amazon Kinesis and Apache Kafka using their event-driven models for real-time data streaming and processing. Design serverless data processing pipelines and extract valuable insights from real-time data streams. Reserve your seat now!

Chalk talks

Chalk talks are a highly interactive content format with a small audience. Each begins with a short lecture delivered by an AWS expert followed by a Q&A session with the audience.

  • Stream data and build transactional lakes with AWS Glue streaming: Learn how to create a low-code streaming pipeline with AWS Glue and Amazon Kinesis to load, clean, and transform sales data, and make it available for machine learning. Reserve your seat now!
  • Migrating self-managed Apache Flink to fully managed on AWS: Review key details to keep in mind when migrating self-managed Apache Flink applications to Amazon Managed Service for Apache Flink. Explore how using cloud-based services with the right patterns can reduce operational overhead. Hear about best practices that can help with migration while still maintaining costs, scale, and performance. Reserve your seat now!
  • How to migrate your Apache Kafka workloads to Amazon MSK: Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations. Learn the benefits of migrating to Amazon MSK and how to lift and shift existing clusters using MirrorMaker 2.0 (MM2). Take a deep dive into the MM2 and Kafka Connect architecture, and explore the common bottlenecks and challenges of high-throughput data streams. Reserve your seat now!
  • Accelerating value from data: Migrate from batch to stream processing: Explore the competitive advantages of transitioning from traditional batch processing to stream processing. Look at key concepts and architectural patterns of streaming to address potential challenges and hiccups along this migration journey. Through an example use case, gain insights into how to successfully transition from batch to real-time data processing using AWS streaming data services. Reserve your seat now!
  • Fast-track streaming ETL with AWS streaming data services: Learn how to build streaming data pipelines across data lakes and data warehouses. Learn best practices for performance, scale, and cost control in Amazon Kinesis Data Streams, Amazon MSK, Amazon Redshift streaming ingestion, and AWS Glue streaming. Reserve your seat now!
  • Advanced real-time analytics and ML in your data warehouse: Learn how enterprise customers are rearchitecting their data environments to lean more heavily on streaming analytics to process throughput of millions of records per second. We will show you how to implement an ELT approach that uses Amazon Redshift’s native integration with streaming data services and Amazon Redshift ML to build near-real-time ML predictions in SQL for better decision-making. Reserve your seat now!
  • Building better with Apache Kafka and Amazon EventBridge: Explore the convergence of event-driven architectures and real-time event streaming to meet modern business requirements. Learn about Amazon EventBridge and Apache Kafka and gain insights into their roles for facilitating real-time decision-making, increased business velocity, and operational autonomy. Reserve your seat now!
  • Speed up data predictions with real-time inference at scale: It is crucial to analyze, learn, and make predictions from your data in a timely manner because the value of data diminishes over time. Dive into event-driven architecture and see how you can use machine learning inference with streaming data to detect patterns and anomalies to realize a faster path to decisions from your data. Reserve your seat now!

Code Talk

Code Talks are 60-minute sessions that focus on the actual code involved in building a solution. You’ll learn the “why” behind the solution and see it come to life—complete with the inevitable errors. Your questions are welcome and encouraged.

  • Build a Flink application on Amazon Managed Service for Apache Flink: Join this code talk to develop and host a streaming and production-ready Apache Flink application on Amazon Managed Service for Apache Flink using the DataStream and Table API programming models. Reserve your seat now!

Workshops

Workshops are 2-hour hands-on sessions where you work in teams to solve problems using AWS services. Workshops organize attendees into small groups and provide scenarios to encourage interaction, giving you the opportunity to learn from and teach each other. Don’t forget to bring your laptop!

  • Event detection with MSK and Amazon Managed Service for Apache Flink: Take on the role of a technology manager for a Las Vegas casino. Learn how to create a stream-processing application that identifies historically “high roller” casino guests entering the casino and that sends you an email when they sit down at a gambling table. Reserve your seat now!

Bootcamp

Bolster your confidence with AWS services and solutions in these eight-hour, deep-dive sessions. Learn by doing with expert guidance, immersive exercises, and self-paced labs.

The below is one you cannot miss:

  • Building streaming data analytics solutions on AWS: Learn to design and implement streaming data analytics solutions using AWS services with an expert AWS instructor. This 8-hour, deep-dive bootcamp is designed for data engineers, solutions architects, and developers who want to build and manage streaming data analytics pipelines. This bootcamp covers how to scale streaming applications using Amazon Kinesis; how to optimize data storage; how to select and deploy appropriate options to ingest, transform, store, and analyze data; and more. You can practice new skills in a real AWS environment with hands-on labs that cover data analytics solutions. Reserve your seat now!

Still time for FUN!

All work and no play … not at re:Invent! Sure, we’ll work hard and learn a lot, but we also plan to have a great time while we’re together. AWS Builder Labs will give you the opportunity to test your skills in sandbox settings while working alongside some of the leading minds from AWS!

Join the PeerTalk platform to easily find, connect, and network with others at re:Invent. Opt in to discover attendees who share similar interests—PeerTalk recommends connections for you. Browse recommendations, message people, and arrange meetups through the platform, then sit down for a face-to-face conversation in one of the four PeerTalk lounges located throughout the re:Invent campus.

Stop by the Analytics kiosk in the re:Invent expo hall. Connect with experts to dive deeper into AWS streaming data services such as Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming For Apache Kafka (Amazon MSK). Also, win prizes, show off your Analytics superhero, and learn all about the latest innovations from our AWS Analytics services.

Register today

It’s going to be an amazing event, and we can’t wait to see you at re:Invent 2023! Register now to secure your spot!

About the author

Anna Montalat is a Senior Product Marketing Manager for AWS streaming data services which includes Amazon Managed Streaming for Apache Kafka (MSK), Kinesis Data Streams, Kinesis Video Streams, Kinesis Data Firehose, and Kinesis Data Analytics. She is passionate about bringing new and emerging technologies to market, working closely with service teams and enterprise customers. Outside of work, Anna skis through winter time and sails through summer.

Your guide to streaming data & real-time analytics at re:Invent 2022

Post Syndicated from Anna Montalat original https://aws.amazon.com/blogs/big-data/your-guide-to-streaming-data-real-time-analytics-at-reinvent-2022/

Mark your calendars for November 28 through December 2, 2022 to attend AWS re:Invent in Las Vegas – a learning conference hosted by AWS for the global cloud computing community.

To maximize the value of your data, you need to act upon it in real time, instead of waiting for hours, days, or week. AWS streaming data services offer unmatched, end to end capabilities to build real-time streaming data pipelines and applications to maximize the value of your data and act upon it in real time. You can leverage Kinesis Data Streams, Kinesis Video Streams and Amazon Managed Streaming for Apache Kafka (MSK) to collect and store data streams at scale; Kinesis Data Firehose to load real-time streams into data lakes, warehouses, and analytics services; and Kinesis Data Analytics to analyze streaming data in real time using Apache Flink. With streaming data architectures, customers can analyze data as soon as it is produced, get timely insights and make real-time decisions to capitalize on opportunities, enhance customer experiences, prevent networking failures, or update critical business metrics in real-time, just to name a few. This post walks you through the key sessions on streaming data and analytics that you cannot miss this year at reInvent to help you plan your conference week accordingly.

To access the session catalog and reserve your seat for one of our streaming data and analytics sessions, you must be registered for re:Invent. Register now!

Keynotes and leadership sessions you cannot miss!

Speakers have always been a key piece of the re:Invent puzzle. This year is no different, and you’ll have the chance to hear from some of the leading voices at AWS.

Adam Selipsky, Chief Executive Officer of Amazon Web Services – Keynote

Tuesday November 29 | 8:30 AM – 10:30 AM PST | The Venetian

Join Adam Selipsky, CEO of Amazon Web Services, as he looks at the ways that forward-thinking builders are transforming industries and even our future, powered by AWS. He highlights innovations in data, infrastructure, security, and more that are helping customers achieve their goals faster, take advantage of untapped potential, and create a better future with AWS.

Reserve your seat now!

Swami Sivasubramanian, Vice President of AWS Data and Machine Learning – Keynote

Wednesday November 30 | 8:30 AM – 10:30 AM PST | The Venetian

Join Swami Sivasubramanian, Vice President of AWS Data and Machine Learning, as he unveils some of the latest AWS innovations, designed to help you transform data into meaningful insights. Hear from leading AWS customers who are using data to bring new experiences to life for their customers.

Reserve your seat now!

AWS storage innovations at exabyte scale – Leadership session

Tuesday November 29 | 11:00 – 12:00 PM PST | The Venetian

Data is the change agent driving digital transformation. In this session, Mai-Lan Tomsen Bukovec, AWS Tech VP, and Andy Warfield, AWS Distinguished Engineer, share the latest AWS storage innovations and an inside look at how customers drive modern business on data lakes and with high-performance data.

Reserve your seat now!

Unlock the value of your data with AWS analytics – Leadership session

Wednesday November 30 | 2:30 – 3:30 PM PST | The Venetian

Data fuels digital transformation and drives effective business decisions. In this session, G2 Krishnamoorthy, VP of AWS Analytics, addresses the current state of analytics on AWS, covers the latest service innovations around data, and highlights customer successes with AWS analytics.

Reserve your seat now!

Customer sessions

Join our customer sessions to learn first-hand how other organizations are maximizing the value of their data with real-time streaming data architectures, enabling them to untap new business opportunities, enhance processes, and deliver delightful customer experiences.

  • How Riot Games processes 20 TB of analytics data daily on AWS – Riot Games ingests about 20 TB of data every day on AWS. This data powers a wide range of services, including game matchmaking, in-game personalization, analytics, security, and player behavior management. Join this session to learn how Riot Games transformed their data ingestion pipeline to query data from 6 hours after it was produced down to just 5 minutes. Reserve your seat now!
  • How Samsung modernized architecture for real-time analytics – In this session, Samsung SmartThings shares how they modernized their streaming data analytics architecture for real-time analytics. Originally, Samsung developers spent most of their time managing infrastructure. After migrating to Amazon Kinesis Data Analytics, developers were able to focus on delivering business value without needing to worry about infrastructure management. Reserve your seat now!
  • Leveling up computer vision and artificial intelligence development – Seeing is believing, and Kami Vision is proof! In this session, Kami Vision speaks to how they utilized Amazon Kinesis Video Streams to do the undifferentiated video lifting so that they could develop KamiCare fall detection—an accurate way to monitor if a person has fallen to the floor and cannot get up. Reserve your seat now!
  • How Sony Orchard accelerated innovation with Amazon MSK – The Orchard, a subsidiary of Sony Music Entertainment, built a high-performing data synchronization solution using Amazon Managed Streaming for Apache Kafka (Amazon MSK). Learn how their data synchronization and search capabilities improved using this solution. Reserve your seat now!
  • How Poshmark accelerates growth via real-time analytics & personalization – Find out how Poshmark designed real-time personalization using real-time event capture to deliver tailored customer experiences, reduce security risks, and enable end-users to more confidently interact with the Poshmark app. Reserve your seat now!
  • Building and operating at scale with feature management (sponsored by LaunchDarkly) – LaunchDarkly customers deliver software applications that support millions of end-users at any given time. They rely on LaunchDarkly to launch, control, and measure those applications in real time without negative customer impact. In this session, we’ll discuss key architecture decisions and LaunchDarkly best practices. Reserve your seat now!

Breakout sessions

AWS re:Invent breakout sessions are lecture-style and one hour long. These sessions take place across the re:Invent campus and cover all topics at all levels.

  • What’s new in AWS streaming – Streaming data and analytics help your business make real-time contextual decisions, deliver personalized customer experiences, and untap new opportunities in real time. Join us to find out about the latest innovations in the AWS streaming portfolio. Reserve your seat now!
  • Build a managed analytics platform for your ecommerce business – With the increase in popularity of online shopping, building an analytics platform for ecommerce is important for any organization because it provides insights about the business, trends, and customer behavior. Join us to learn how to build a complete analytics platform in batch and real-time mode. Reserve your seat now!
  • Publishing real-time financial data feeds using Kafka – This session describes how to offer a real-time financial data feed as a service on AWS. With Amazon MSK, you can use Kafka to allow your customers to subscribe to message topics containing the financial data of interest. We will cover connectivity best practices for scalability, security options for a secure architecture, and lessons learned from customers that are using AWS to distribute financial data on AWS. Reserve your seat now!
  • Interact with streaming data using Amazon Kinesis Data Analytics Studio – Join us in this theater session to learn how analyzing streaming data provides the timely, actionable insights a business needs to grow. Reserve your seat now!

Chalk talks

Chalk talks are a highly interactive content format with a small audience. Each begins with a short lecture delivered by an AWS expert followed by a Q&A session with the audience.

  • Modern data exchange using AWS data streaming – We’ll explore how different systems sync low-latency data changes using Apache Hudi backed by Amazon Simple Storage Service (Amazon S3) in a data mesh architecture. This modern architecture allows developers to build streaming jobs that read, join, and aggregate data from multiple datasets and sync data changes to downstream data stores. Reserve your seat now!
  • Build a serverless streaming workload with Amazon Kinesis – Collecting, processing, and analyzing streaming data is easy with Amazon Kinesis services. Make plans for this chalk talk that will take your streaming capabilities to the next level. Reserve your seat now!

Workshops

Workshops are two-hour hands-on sessions where you work in teams to solve problems using AWS services. Workshops organize attendees into small groups and provide scenarios to encourage interaction, giving you the opportunity to learn from and teach each other. Don’t forget to bring your laptop!

  • Building a serverless Apache Kafka data pipeline – Serverless means “focus on what matters”! In this workshop, we’ll show how you can build a serverless data pipeline using Amazon MSK Serverless, deploy a Kafka client container-based AWS Lambda function, and much more! Reserve your seat now!
  • Event detection with Amazon MSK and Amazon Kinesis Data Analytics – When in Las Vegas, you do as Las Vegans do! In this workshop, you’ll see how casinos use Amazon MSK, Amazon Kinesis Data Analytics Studio, and AWS Lambda to enhance customer experiences. Reserve your seat now!
  • Build smart camera applications using Amazon Kinesis Video Streams WebRTC – Amazon Kinesis Video Streams WebRTC helps users to easily build low-latency video solutions such as smart doorbells, connected vehicles, surveillance cameras, and more. Join this workshop for hands-on experience building a complete real-world video solution, including setting up a device with a camera to transmit video. Reserve your seat now!

Fun, fun, and more fun!

All work and no play … not at re:Invent! Sure, we’ll work hard and learn a lot, but we also plan to have a great time while we’re together. Our gamified learning sessions will give you real-life learning opportunities through interactive events that promise to be fun and entertaining!

The fun continues with AWS Builder Labs, where you’ll have the opportunity to test your skills in sandbox settings while working alongside some of the leading minds from AWS!

And don’t forget to visit the Analytics kiosk within the AWS Village to meet with experts to dive deeper into AWS streaming data services such as Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics and Amazon MSK. You will be able to ask our experts questions and experience live demos for our newly launched capabilities. Make sure to stop by the swag distribution table to grab free Analytics swag if you have attended either the Analytics kiosk or one of our breakout sessions, chalk talks, or workshops.

Register today

Keep your eyes on this post for more updates and exciting news. It’s going to be a simply amazing event and we can’t wait to see you at re:Invent 2022, the world’s premier tech event! Register now to secure your spot!

About the author

Anna Montalat is a Senior Product Marketing Manager for AWS streaming data services which includes Amazon Managed Streaming for Apache Kafka (MSK), Kinesis Data Streams, Kinesis Video Streams, Kinesis Data Firehose, and Kinesis Data Analytics. She is passionate about bringing new and emerging technologies to market, working closely with service teams and enterprise customers. Outside of work, Anna skis through winter time and sails through summer.