Name: Building Invincible Applications with Temporal & Astra DB
Start: 2023-04-25T18:00:00Z
End: 2023-04-25T18:00:49.000Z
Location: BrightTALK
Rating: 4.2

We provide the real-time vector data tools that Gen AI apps need, with seamless integration with developers’ stacks of choice (RAG, Langchain, LlamaIndex, OpenAI, GCP, AWS, Azure, etc).


Join us to explore the future of humans and machines in a dynamic discussion. Discover how AI reshapes job markets, the importance of human qualities, and the path to continuous learning and collaborative optimism.

The Future of Humans + Machines: Co-Creating with AI

Explore the transformative journey Rakuten Card is driving by integrating generative AI into business-critical operations.

Moving Gen AI from Concept to Business Critical

Join experts delving into enterprise AI governance models, ethics, risk, cross-sector collaboration, policy and privacy:
- Every developer building generative applications needs to be aware of their company governance processes
- The ethical implications are wide-ranging and intersectional
- Many great resources are available from thought leaders in industry, academia, and nonprofits like WEF

Enterprise Governance in a Responsible AI World

Discover where you stand, where to go next, and how to capture the transformative potential of Generative AI:
- Navigate the progression from novice experiments to sophisticated AI-driven solutions
- Discover where you stand, where to go next, and how to capture the transformative potential of Generative AI

AI Maturity Model

Learn how to build an AI-powered chatbot with Astra DB and Google’s Vertex AI.

Building an AI Chatbot with Vertex AI and Astra DB

Learn how to rapidly build production-ready Gen AI applications and see a real-world demo of Q&A against your data:

- LangStream is a new way to create and run Gen AI applications
- Bring your data to AI when creating LLM prompts
- Rapidly build streaming AI agents with little or no code

Build a Streaming AI Agent using OpenAI, Vercel, and AstraDb in 10 lines of code

Build proactive Generative AI apps with real-time events easily:
- Real-time data processing unlocks powerful new types of reactive and proactive generative AI applications
- Thanks to recent advances in AI tooling (foundation models, AI-as-a-service, modern event processing) it’s possible to rapidly build working Gen AI applications
- Kaskada provides a data foundation for real-time Gen AI applications, democratizing this powerful new type of Gen AI

Real-time events to LLMs, built in 15 minutes with no data science experience

Learn the key building blocks that will deliver a successful, scalable, secure data foundation for your Gen AI strategy.

Generative AI for the Enterprise: Secure, Scalable, Compliant and 5X cheaper

Learn how Gen AI, LLMs, AI assistants, and intelligent agents are all powering next-generation customer experiences to transform every business.

There’s No AI Without Data: Vectoring the Enterprise

Are you struggling with the challenges posed by massive datasets and AI applications? Vector Search is a transformative solution that can help you address these issues. As a decision-maker, you always look for ways to optimize your organization's operations and maximize ROI. Luckily, integrating Vector Similarity Search into Cassandra can help you achieve these goals.

Join Patrick McFadin Apache Cassandra Committer and discover how: 

1. Vector Search can revolutionize handling AI workloads and managing large datasets.
2. Real-world applications of Vector Similarity Search in content-based image retrieval, recommender systems, and natural language processing.
3. Integrating Vector Similarity Search into Cassandra enables faster and more relevant data retrieval, boosting the performance of data-driven applications.
4. Vector Similarity Search in Cassandra can solve data management challenges, drive efficiencies, and maximize ROI for your organization.

Don't miss this opportunity to learn how the cutting-edge Vector Similarity Search functionality in Cassandra can solve your organization's data management challenges, drive efficiencies, and propel your business forward. This strategic move towards enhancing Cassandra's offering underscores its position at the forefront of scalable data management solutions and reaffirms its commitment to meeting the evolving needs of developers and businesses alike.

Vector Similarity Search in Apache Cassandra®

You have all this data coming into the system, what are you going to do with it? Maybe store it in some lake ‘o data to never be spoken of again? Or better yet, write it to a microservice’s dedicated store where no one has access to.

Let’s think about things in a different way - use that data in real time! Make decisions on the fly to help your customers with a better experience! Store the decisions as a record of business value already realized.

In this session, we are going to look at how streaming and real-time AI enables enterprises to do more with data. But we’re not going to weigh you down with all the boring business trends and percentages. We are going to review a working example of an ecommerce site watching the viewing trends of a live customer and promoting related items that are of strong interest to the person. It doesn’t get any more real time than this!

Real-Time AI Explained. Enabling Ecommerce Instant Decisions with Streaming

Martin (Marty) Brodbeck joined Priceline as Chief Technology Officer in 2019. Marty is responsible for all product engineering, infrastructure, data and technology operations for Priceline.

At Priceline, Marty has spearheaded the company’s digital transformation, leading a product migration and instituting a new micro-services architecture powered by the cloud. Additionally, he developed a new data platform that powers the brand’s marketing and consumer capabilities, which have been essential to the growth of the company.

Driving Priceline's Digital Transformation with Real-Time Data

Ayushi Singh is a Senior Software Engineer in the Online Datastores team at Netflix. With her expertise in open-source projects like Apache Cassandra, Ayushi is helping drive Netflix's vision to entertain the world through scalable data solutions. Prior to her role at Netflix, Ayushi was a member of the Core Platform and Infrastructure team at PayPal implementing cloud platforms in a hybrid cloud setting. Her contributions empowered PayPal's business teams to scale their applications, serving millions of customers globally and processing billions of dollars in payments.

In this Digital Champions interview, Ayushi emphasizes the importance of creating an inclusive space for learning and collaboration in the technology industry, especially for women. Her insights are invaluable to fostering diversity in the field. Ayushi also discusses the power of Apache Cassandra and provides a glimpse into Netflix's strategic use of real-time data for content creation, infrastructure monitoring, and marketing strategies.

Ayushi Singh Provides a Glimpse of Netflix's Strategic Use of Real-Time Data

Are LLMs (Large Language Models) the most exciting new capability since the advent of mobile? 

ChatGPT has enterprises and developers racing to use LLMs to innovate products, customer service, marketing, and customer experiences.  

Watch this webinar to understand:

- Who should use LLMs
- How it will impact your enterprise
- How it relates to your real-time AI strategy
- How do LLMs relate to other AI and ML services and technology?

We explore the benefits of using LLMs for the enterprise, including the ability to provide real-time insights into customer behaviour and preferences, all while streamlining workflows and reducing costs. 

Uncover the relationship between LLMs and other AI and ML technologies, including their ability to process and analyze vast amounts of data in real-time. Additionally, we discuss the ethical considerations of LLMs, the potential for bias and the importance of transparency and accountability.

This webinar is ideal for enterprise leaders and decision-makers looking to stay ahead of the curve in the rapidly evolving world of AI and ML. Don't miss this opportunity to gain valuable insights into the power of LLMs for your enterprise AI strategy.

Large Language Models (LLMs) for the Enterprise" ChatGPT and Beyond

ACID transactions are coming to Apache Cassandra!  Tune in to learn how you'll be able to leverage Cassandra to apply a group of operations across several partition keys, and have it treated as an atomic, single unit of work.  See how this change is going to dramatically improve the Cassandra developer experience and open the Cassandra world up to a whole slew of new use cases.

We start by introducing the concept of ACID (Atomic, Consistent, Isolated, Durable) transactions within the Apache Cassandra paradigm.  We also discuss the current roadmap for implementation, as well as a little about the computer science behind the enhancement.

ACID Transactions on Cassandra

Looking even further forward into the next few years, how will you use Cassandra? The two areas of our community that will grow the fastest are cloud native and AI/ML workloads. Cassandra was built for the next generation of applications. We are adding even more capabilities to help you develop faster with less effort.

Cassandra Forward: Whats Next in Apache Cassandra Use Cases?

It’s time to bring the power of AI to your data. Join Matt Kennedy, Product Strategist and Dr. Charna Parkey, Real-time AI Product & Strategy Leader to learn:
- Why real-time AI is critical for market-leading apps
- How organizations can build AI-powered apps with proven success patterns
- How to prepare for real-time AI with event data
- And get a preview of how to bring ML to your real-time dataset

Unleash Real-time AI to your Event-based Data

What if you could combine the ease and efficiency of Kubernetes architecture with the high performance and low latency of Redis? Our Tech Talk shows you how to do just that. In this session, you learn how Redis Enterprise on Kubernetes delivers benefits like automatic scalability, persistent storage, simplified database endpoint management, zero downtime upgrades, and more.

Getting Started Series: Make Kubernetes Even More Efficient

Kubernetes security is crucial in ensuring the safety and integrity of your organization's data and systems. However, keeping up with the latest security threats and vulnerabilities can be a daunting task. This is where Kubernetes Goat comes in - a "vulnerable by design" Kubernetes Cluster environment that allows you to practice and learn Kubernetes security in a hands-on way.

In this webinar, Pragmatic Security Leader Madhu Akula presents the latest version of Kubernetes Goat and demonstrates how to use it to identify and mitigate vulnerabilities in Kubernetes and containerized environments. He will cover various attack scenarios and real-world vulnerabilities and show how Kubernetes Goat scenarios can be mapped with them. The session will also explore open-source security tools that can be used to write secure code and deploy secure containers in production.

Key Takeaways:
- Gain practical, hands-on experience with Kubernetes security through 25+ offensive and defensive scenarios.
- Learn about the latest security threats and vulnerabilities in containers, Kubernetes, and cloud-native environments.
- Access detailed documentation, labs, and other resources to continue your learning and development in Kubernetes security.
- And more...

Mastering Kubernetes Security with Kubernetes Goat

We're told that a "DevOps culture" involves developers fully embracing operations, and understanding how their applications are deployed and maintained. In the cloud, however, anyone who has looked at the CNCF landscape recently will probably have given themselves a headache! 

The number of technologies available to solve cloud native application deployment problems is as dazzling as the number of problems is terrifying. How can a development team be product-centric and work on improving their applications all the time whilst still keeping a DevOps mindset and maintaining a secure, cost-effective cloud native platform?

The answer is in creating a platform to assist them. But platform engineering as a discipline has been around a long time, and has so far not succeeded in freeing up development teams. Why is this? What needs to change? I'll discuss the concept of product-centric teams and the developer platform, and go through a few major and important points to consider when setting up a platform of your own.

Key takeaways:
- The cloud native landscape is too complex for developer teams to fully understand and also be productive to their business area.
- There must be a platform team to support them.
- The platform team must be agile and must be customer-centric.

Platforms for product-centric teams

In the digital era of business, IT infrastructure and reliability are critical to success. However, with increasingly complex and dynamic environments to grapple with, maintaining IT reliability in enterprises is challenging.  

As the rate of innovation continues to speed up, open-source observability tools are transforming IT operations, creating clarity from chaos, by providing insights into potential issues before they become problems. 

In this session, Atulpriya Sharma (CNCF Ambassador) shares insights and best practices for leveraging open-source observability tools to optimize IT operations in modern enterprises. 

Join this session to:
- Explore the role of observability in driving IT reliability
- Understand the four pillars of observability and explore popular open-source observability tools
- Hear case studies, demonstrating the real-world impact of open-source observability on IT reliability and
- Discover how to leverage community-driven advancements in open-source observability to optimize enterprise IT operations
- And more...

From chaos to clarity: How open source observability transforms IT reliability

The cloud native development ecosystem is expanding at an unprecedented and chaotic pace. With access to increasingly powerful technologies, developers should be well-positioned to drive innovation forward and work more creatively than ever. However, the problems they are attempting to solve have become more complex than ever, creating friction in the innovation process and limiting developers' ability to deliver.

In this session, Suzanne Daniels shares her insights on how organizations can overcome these challenges and improve developer velocity. She will discuss three key solutions that organizations can use to help their developers be more productive and explains how to combine them using an internal developer portal.

Topics for discussion include:
- Why platform engineering is not just "the new DevOps," and why it's essential to improving developer velocity.
- How to improve collaboration between developers and other teams to streamline software development and speed up innovation.
- How a developer portal can help organizations embrace chaos, foster collaboration, and integrate solutions for greater productivity.

Designing an internal portal to supercharge developer velocity

The Global Cloud-native Application Protection Platform (CNAPP) Market size is expected to reach $21.2 billion by 2028, rising at a market growth of 18.6% CAGR. Adopting cloud-native architectures can significantly reduce IT costs, improve operational efficiency, and increase development speed and agility—although, they also introduce security risks, such as vulnerabilities in containers, microservices, and APIs. 

Implementing the proper security measures in this context requires a cloud-native security approach, in which solutions are purpose-built for cloud environments and can leverage automation and machine learning to detect and respond to security threats in real-time. 

Watch this exclusive Fireside Chat with experts from Cisco and BrightTALK to discover the key to unlocking cloud-native application modernization in today’s sprawling environments, alongside a discussion on how to formulate a cloud-native app security protection plan.

Unlocking Business Potential with Cloud-Native Application Modernization

As organizations continue to evolve and innovate, the need for agile integration solutions becomes increasingly important. In this webinar, Digibee’s CTO and Co-founder, Peter Kreslins, and Head of Market Strategy, Matt Durham, will share insights on modern integration architecture and its role in driving organizational agility.
Attendees will learn about the five key principles of modern integration architecture: decentralization, empowerment and enablement, low code, ecosystem-driven, and continuous activity. The session will also cover the importance of democratizing technology and empowering citizen developers while maintaining governance and guardrails.

To wrap up the conversation, Digibee leadership will delve into how an integration platform as a service (iPaaS) can help organizations achieve modern integration architecture and improve their agility.

Modern integration architecture: A new approach to unlock organizational agility

In today's fast-paced business environment, cloud computing has become a critical component for many organizations. As companies embrace the cloud, it's important to understand the various cloud architecture frameworks available and choose the one that best fits your business needs. Using the right cloud architecture framework can help you achieve greater scalability, reliability, security, and cost-effectiveness. 

The public cloud offers so many services and features that it can be overwhelming to navigate. From microservices and event-driven architecture to serverless, containers, and modern compute, choosing the best tools for your needs is by no means easy. 

In this session, join Marius Zaharia (Cloud Solutions Architect & Principal Engineer at Societe Generale) to get insights into the Modern Architecture and explore the factors you should consider when deciding what cloud architecture framework is best for your business needs.  

Topics for discussion include: 

- The fundamentals of Modern Architecture and how it can help you make sense of the modern cloud landscape. 
- How to evaluate and choose the best approach for your needs, from microservices to serverless to containers and beyond. 
- Best practices for designing and implementing cloud architecture.

Navigating modern cloud architectures in 2023

Cloud-Native Modernization

DataStax and Temporal are on a mission to help developers build durable, resilient apps that never fail, no matter how fast they scale or how demanding the business. But building reliable apps can be complex, creating obstacles and delays for developers working under intense pressure. 

Temporal and DataStax are delivering a new programming model for developers: cloud-native, invincible apps, without the burden of complexity, helping you focus on what you do best: building great software, fast.  Join us and hear:

- Temporal’s durable execution paradigm provides extreme reliability, and makes it trivial or unnecessary to implement distributed systems patterns like event-driven architecture, task queues, sagas, circuit breakers, and transactional outboxes.
- DataStax’s Astra platform provides the tools to build out real-time systems.
- Temporal and DataStax together provide a robust platform on which to build scalable, fault-tolerant applications.

We’ll also explore why Temporal chose Cassandra as the highly-reliable, scalable database for their own platform. And how this combination can deliver invincible apps for your business as well.

Building Invincible Applications with Temporal & Astra DB

DevOps

AppDev

Digital Transformation

Cloud

Cloud Applications

Secure Development

Customer Experience

Data Center Efficiency

Enterprise Applications

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Cloud Computing

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Application Development

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Application Management

Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.

Big Data and Data Management

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Information Technology

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Fintech

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Get powerful insights to run your business. CEOs, CFOs, CMOs, COOs, CTOs and CIOs are among the leaders in this community who connect with peers and experts to grow their businesses.

CxO Strategy

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Building Invincible Applications with Temporal & Astra DB

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DataStax