Name: Best Practices to Modernize Your Data Architecture
Start: 2022-06-22T18:00:00Z
End: 2022-06-22T18:00:30.000Z
Location: BrightTALK

Redis makes apps faster, by creating a data foundation for a real-time world. It is the driving force behind Open-Source Redis, the world’s most loved in-memory database, and commercial provider of Redis Enterprise, a real time data platform. Redis Enterprise powers real-time services for over 8,000 organizations globally. It builds upon the unmatched simplicity and speed of Open-Source Redis along with an enterprise grade data platform that offers robustness of modern data models, management, automation, performance and resiliency to deploy and run modern applications at any scale from anywhere on the planet.

With so many people – like your CIO – hyped about artificial intelligence, machine learning, and generative AI products like ChatGPT, you’re likely under a lot of pressure to develop applications with those technologies for your company.

Like, yesterday.

But how do you turn terabytes of unstructured data – ranging from text to images, audio, and video – into useful information for the AI application?

The answer is a vector database. Vectorizing converts unstructured data into numerical representations known as vector embeddings, and Redis stores, indexes, and retrieves them. Vectors make searching for similar images or text or documents – vector similarity search (VSS) – faster and easier. Moreover, an external vector database with domain-specific, proprietary, or more recent data – used with public general purpose large language models – improves AI application responses.

Not to mention, keeping it from making things up.  
In this tech talk, find out how to use Redis’s vector database capabilities for real-time AI apps. We show the elements of building generative AI applications – using Redis technology you already know.

Watch to find out more about it.
* What’s a vector database
* Examples
* Why LLMs need real-time response
* Redis Enterprise VSS features and differentiators

Driving AI Innovation: Making It Easy to Build Generative AI Apps with Redis

In this tech talk, find out how to use Redis’s vector database capabilities for real-time AI apps. 

We show the elements of building generative AI applications – using Redis technology you already know.

Driving AI Innovation: Making it easy to build Generative AI Apps

Everyone wants to reduce costs and operate efficiently. But costs for database services can quickly get out of hand as you scale your applications.

Join Redis and Google for a virtual discussion on how Redis Enterprise can help reduce costs and deliver an efficient way to scale application performance on Google Cloud.

Cost Efficiency at Scale With Redis and Google Cloud

IT organizations are increasingly deploying fleets of Kubernetes clusters that need to be centrally managed. There is no shortage of options when it comes to deploying a management platform but managing Kubernetes clusters at scale, running everywhere from the network edge to the cloud, presents IT teams with a unique set of challenges.

Container Kubernetes Management

Everyone is looking to reduce costs and be more efficient. But as you scale your applications, costs for database services can quickly get out of hand.

Join this webinar to learn how Redis Enterprise can help reduce costs as the most cost-efficient way to scale application performance on AWS.

Cost Efficiency at Scale With Redis and AWS

While the application development world continues to thrive from the adoption of DevOps, data management at many companies today lacks the speed, interoperability, and flexibility desired by businesses to effectively compete on intelligence.

Data is still managed through rigid and, oftentimes, manual processes in siloed domains where collaboration is less constant.

There are numerous reasons organizations are hesitant to fully embrace Ops practices in the realm of databases. Concerns over data consistency, testing and deployment, legacy systems integration, and overall complexity can make introducing modern tools and practices challenging.

At the same time, plenty of organizations are finding ways to successfully bridge the gap between data management and DevOps. In fact, as the adoption of cloud-native apps, microservices, and containers continues to grow this will become ever more important.

Achieving Greater Agility: Emerging Trends in Data Management and DevOps

Join Redis Principal Solution Architect, Anton Umnikov, for a discussion on generative artificial intelligence, large language models, and databases. Anton will discuss how large language models have taken the world by storm. There will be specific emphasis on real use cases. While there’s a ton of hype, there’s also an explosion of real potential. Thanks to emerging first-party capabilities such as vector storage and search, Redis fundamentally changes how organizations leverage natural language processing, LLMs, GenAI models, and real-time machine learning workloads.

Redis Real-Time Data in Action from ChatGPT to Hello World!

In this webinar, speakers Sam Partee, Principal Applied AI Engineer, Redis and Microsoft’s Kyle Teegarden, Senior Product Manager, Azure Cache for Redis will walk you through it step by step. This session will provide a deep dive into how vector databases can be used in conjunction with large language models (LLMs) and demonstrate how to make a custom AI-based semantic answer engine entirely using Azure managed services.

Combining Redis with Azure OpenAI Service

Amid the tragedy, the COVID-19 pandemic presented unique opportunities for e-commerce firms, especially for online delivery services prepared to handle an escalating volume of orders. 

At iFood, one of the largest food delivery companies in Latin America, the technology team shifted into high gear as millions of new users began relying on its service, and thousands of new restaurants joined its growing platform.

Join experts from Redis and Amazon Web Services to learn how iFood uses Redis Enterprise Cloud on AWS as the foundation of its rapidly evolving ML feature store to create an optimal experience for users.

You will learn how iFood’s Redis-based infrastructure:
- Delivers sub-millisecond performance for ML operations
- Powers a highly efficient microservices architecture that optimizes the user experience
- Allows for massive scalability, enabling rapid corporate growth
- Saves money on infrastructure costs

Optimize the User Experience with AI Leveraging Redis Enterprise on AWS

Join us for this free instructor-led professional services workshop that shows you how to simplify your microservices architecture and build performant, resilient, and highly available microservices using Redis Enterprise.

After completing this session, you will:

Learn how to implement 3 caching design patterns to address read latency challenges while maintaining independent, highly available services.
Understand how to use Redis Streams as an asynchronous message broker for interservice communications. 
See how Redis Enterprise supports multiple Redis data types and models including JSON and Search for Domain Driven Design.
Understand how to simplify Change Data Capture with Redis Data Integration tool including demo.

Redis Enterprise Microservices Virtual Workshop

In today’s market everyone is looking to reduce costs and be more efficient. ElastiCache is a great solution for starting out, but can become difficult to manage at scale.

Join this webinar to learn about the differences between Redis Enterprise and ElastiCache and hear from Redis customer iFood on how they successfully moved their online feature store from Amazon ElastiCache to Redis Enterprise.

Cost Efficiency at Scale: Redis Enterprise vs. ElastiCache

Organizations must make data-driven decisions and respond quickly to changing customer needs in today’s rapidly evolving digital landscape. Customers are demanding intelligent applications that can keep up with their needs.

However, building these intelligent applications creates its own set of challenges. That’s where we come in.

These applications harness the power of artificial intelligence and machine learning, employing ultra-low latency databases to provide real-time insights, enabling organizations to better serve their customers.

Watch our on-demand session to learn how the joint technologies from Redis and Amazon Web Services (AWS) can help make it easier for your company to build these intelligent applications leveraging Redis Enterprise Cloud on AWS.

During this on-demand webinar, you will learn:
- What benefits customers who choose Redis Enterprise Cloud on AWS are seeing
- How to create applications with Amazon SageMaker and Redis Enterprise Cloud that can more accurately predict what your customers need
- How a unified database can help you stay ahead of the competition and better serve customers with real-time insights

Developing Real-time Intelligent Apps with Redis Enterprise Cloud on AWS

Data modeling can be challenging.  We will go through 8 different scenarios and show how to model them in Redis along with code snippets.

8 Data Modeling Patterns in Redis

Microservice-based architecture is an architecture style that helps development teams launch new products faster, scale more easily, and respond better to customer demands while minimizing costs and complexity. The result is that enterprises reduce time-to-market for new service development, often from projects measured in months to days. 

In a microservices environment, services running in real time must compensate for networking overhead. Redis Enterprise delivers sub-millisecond latency for all Redis data types and models. In addition, it scales quickly and linearly to almost any throughput needed.

MS Series: Getting Started With Microservice-Based Architectures

A microservice architecture can be a game-changer that helps organizations reduce barriers to application modernization and cloud migration journeys – and let them beat their competition to market.

However, breaking up a monolithic application into microservices usually creates a more complex system. Redis Enterprise reduces that complexity by caching data and optimizing data transfer between microservices – which offers the additional benefit of reducing latency and, consequently, improving performance.

Microservices also improve resiliency and provide read-optimized queries for global data, which means an organization can simplify its processes and automate them to reduce risk and make its architecture more mobile – without adding overhead.

The result is a single data platform for caching that supports optimal data models  — enough to support each microservice in isolation — and acts as a lightweight message broker for inter-service communication. This enhances developer productivity, provides faster time to market, and streamlines an application’s architecture.

This webinar shows how Redis Enterprise has helped customers simplify microservice-based architecture challenges in four ways:
- Query caching
- CQRS pattern
- API gateway caching
- Interservice communication

Getting Started Series: Simplify Microservice-Based Architectures with Redis

As one of the world’s most loved and used databases, Redis is likely widely used across your company. But the truth is; ineffectively deploying 
and managing Redis across large complex organizations can be challenging, time-consuming, expensive, and wasteful. 

Join John Noonan, Sr. Product Marketing Manager and Manish Arora, Solution Architectat at Redis to explore winning strategies to implement Redis at scale. Learn when, why, and how you can set up Redis-as-a-Service or establish a Redis Center of Excellence to:

●        Standardize deployments 
●        Simplify and centralize operations
●        Cut costs and reduce duplication of efforts
●        Improving service speed and quality

Winning Techniques to Deploy and Operate Redis at Scale

Hybrid Cloud gives you the best of both worlds: the advantages of the cloud and the control of local infrastructure. And thanks to the portability of Kubernetes, Redis Enterprise makes hybrid deployment easier than ever, on the cloud and on-prem.

Watch our Tech Talk to learn how to maximize flexibility and scalability, while reducing complexity and costs. In this session, we also show you:
- How a hybrid deployment increases flexibility while ensuring data security
- How Kubernetes with Redis Enterprise lets you easily scale up and down to handle spikes in throughput
- How Hybrid Cloud simplifies disaster recovery without dedicated backup IT Infrastructure

Join our experts to explore the easy way to deploy Hybrid Cloud.

Getting Started Series: The Easy Way to Deploy Hybrid Cloud

Vital data can end up locked in legacy databases because it seems too complex, time-consuming, and costly to unlock its full potential.

Not with Redis Enterprise. At this half-hour Tech Talk, you’ll see how to use the Redis Connect tool to quickly and easily ingest and replicate data from sources into Redis Enterprise.

Whether you’re replatforming to a hybrid architecture, migrating databases, optimizing Redis Enterprise, or enriching microservices, you’ll learn how to:
1. Understand architectural patterns and main use cases
2. Optimize performance with change data capture (CDC)
3. Deliver real-time data to employees, customers, and partner applications
4. Run ETL and searches in real time for your source applications

Tech Talk Series 5: Rapid Data Ingestion with Redis Enterprise

This webinar will cover:

- Definitions of key terms
- What is the rationale for looking at digital backend and/or blockchain-based payment systems?
- International payments landscape – cursory overview (China focus)
- What is happening in the UK/USA
- Next steps and options for businesses to engage

Where crypto meets payments: CBDCs, stablecoins, and digital rails in context

The Nexum AI Platform Adoption Framework: A guiding framework for leaders who want to leverage the power of AI to transform their business. And a tool to assess where you are in your journey and define where you want to be.

Nexum AI as a Service was developed as an engineer’s guide to building AI-enabled platforms and services. The aim of the  our platform is to get you up and running, and able to produce results quickly, without getting stuck in the weeds. AI and  machine learning are big topics, and there is an awful lot to learn if you wish to master these disciplines. We examine these  from a developer’s perspective to provide a practical, hands-on guide. All of the major cloud vendors are engaged in a race to provide relevant AI services, such as  
○ Image recognition  
○ Speech-to-text, text-to-speech  
○ Chatbots Language translation  
○ Natural language processing  
○ Recommendations  

We review the current state of the art, and we categorize the available services on Google into a standard architectural  structure. Following we dive right in and build a serverless image recognition system as our first AI as a Service platform.

NEXUM Cloud’s AI Platform Adoption Framework AI as a Service

Embedded finance is the seamless distribution and integration of financial products into existing services offered by non-financial brands during the most relevant part of the user journey. Over the last 36-months, Buy Now Pay Later (BNPL) has experienced incredible growth and showing little signs of slowing down – it’s valued at over $4billion and growing.

The embedded finance market presents a £7trillion opportunity by 2030, but it will take more than BNPL to reach this milestone. In this webinar, Barry McCarthy, Founder of Assure Hedge, looks at what’s next for embedded finance.

·     Where are the opportunities?

·     How does data influence product creation?

·     How embedded finance keeps business afloat?

·     How embedded finance gives businesses access to global talent

Embedded Finance: Beyond Buy Now and Pay Later

During H1 2021 alone, financial institutions have already been fined over $2 billion.
This has been partly due to failures in risk identification and by not having effective AML and KYC  in place to monitor accounts.
However, customer onboarding is getting tricky as regulations vary across industry and by region; 
Join us to learn about best practices for customer onboarding, and continuous trust.
 
Takeaways

-Learn about the challenges posed by regulation
-Get industry best practice hints and ideas
-Reduce onboarding fraud whilst minimizing friction

Seamless Customer Onboarding: Fact verses Friction

Discover new revenue streams and cost savings for banks as custodians of users' identities and data (without the current liability model). Find out how SSI revolutionises customer experience while reducing costs and improving data.

Self-Sovereign Identity: New Recurring Revenue for Existing Data

Learn about how protecting your data can actually expand your business.

Data-centric zero trust opens up new workflows for KYC and source of wealth validation, broker to customer direct transactions, transaction insights, customer support, and on-prem to hybrid cloud data transfer.

Protect against ransomware extortion while staying compliant with data residency, a chain of custody, and right to forget. Gain an understanding of how a data-centric cyber solution will keep your data safe when your network is hacked and allow you to reduce costs while expanding opportunities.

Frictionless and Secure KYC with Data-Centric Zero Trust

Within the future of fintech, a few things remain constant: 
- Need for a scalable infrastructure
- Seamless payment experience
- Customer insights and choice

As choice becomes even more abundant, so does the need to delight customers at every purchase. Given today’s “cancel culture,” slow processing speeds, complicated checkout experiences, and overall inefficiency can quickly lead to customer churn.  

Nithin Bose, VP of Customer Success at Very Good Security (VGS) and Chintan Sanghavi, Sr Solutions Architect at Amazon Web Services (AWS) are bringing several customers to discuss how they are utilizing VGS and AWS to securely leverage payments data, increase transaction throughput, reduce cost per transaction, and improve customer experience.

Tune in to hear how industry leaders like Matteo Gamba and Ram Bajaj are optimizing data to improve their business…one customer at a time.

Improve Customer Loyalty With Payments Data

Customer experience is an essential strategy for business leaders to get right – and while 80% of businesses believe they deliver a superior experience, only 8% of customers agree.

This essential webinar examines what CX success looks like in 2022, including what industry leaders are doing right and how a first party data strategy can maximize the revenue of your CX program in the most efficient way possible. Webinar highlights include:

• Key trends, stats, and mandates for CX today
• What to do when third-party cookies are no more
• Leveraging customer data: Shifting strategic and technology considerations
• And much more

2022 CX survival guide: The 3rd party cookie apocalypse and other CX trends

In a rapidly growing FinTech market in the UK companies need innovative approaches to distinguish themselves from competition and to constantly create value for their customers. Collecting and utilising proprietary customer data becomes a key enabler for success. This presentation will focus on how to leverage transaction and customer behaviour data for effective CRM strategies to boost customer loyalty and retention.

Harnessing Data for Effective Customer Relationship Management in a Fintech

Online data is a vast and ever-expanding resource in the battle against financial crime. 

However, the volume of information can be overwhelming, and it can be a struggle to identify what’s relevant. 

In addition, the information explosion has led to more public scrutiny than ever, and reputations that took years to build can be destroyed in one headline.  

How can you ensure you get a full and fair picture?

In this expert discussion you will learn:

1. The latest risks and challenges relating to the use of open source material to fight financial crime
2. Regulatory expectations on using open source data for due diligence and monitoring
3. How technological innovations can harness public information
4. Emerging best practices for reputational risk protection in the digital age


Chair: Laetitia Hoffmann, Global Product Manager - Due Diligence at Dow Jones
Shaun O’Mahony, Co-Founder of Xapien
Daniel Secretan, Co-Founder of Xapien
Tom Lawman, Senior Consultant at FINTRAIL

Mobilising online data to fight financial crime

• Tokenization of everything – Assets, Money, Cryptocurrencies
• Digital Identities & payments – phase one : Centralized identity, phase two: Federated Identity, Phase three: User-centric Identity, Phase Four : Self-sovereign Identity, from personal data controlled/owned and centrally stored by business to owned/controlled and de-centrally stored by User
• Increasing A2A Payments and open banking support – open finanance API network, Account Entry Push Notifications, Reservation of funds, Deferred and recurring payments, Request to Pay, Initiation of a consumer loan = BNPL, SEPA Direct DebitImproving conversion and UX
• Value Added Services around payments e.g. - BNPL will further grow, Credit card-based BNPL as fight back for banks, Digital Receipts will get more momentum, Next Generation Loyalty Offers - the age of data blindness & simple transaction-rewarding is over
• Improving the PSD2 SCA with better use of newer 3DS protocols (EMVCo 3DS 2.3) - eCOM Tokenization, Click To Pay, Delegated Authentication, split SDK and device binding
• Increasing Interest in Crypto Assets - Crypto trading apps as part of their digital offering
• Green & Sustainable Payments – Carbon free - For the Financial Services Industry, Green Payment is going from niche to mainstream through the following development drivers: technology, consumers, data and coming soon

Digital ID, Open Banking, BNPL, Tokenization, PSD2 SCA, Crypto Assets, Payments

The Future of FinTech: 2022 and Beyond

Organizations need to keep up with the breakneck speed of business, but are inhibited by legacy technologies. In this session, David Loshin, President of Knowledge Integrity, and Henry Tam, Solution Marketing at Redis, will provide best practices for how to modernize data architectures to deliver transformational changes rapidly and non-disruptively.

Best Practices to Modernize Your Data Architecture

Modernizing data layer for financial services

modern financial services applications

omnichannel banking

Real time personalization

Fraud detection

Hybrid cloud

Microservices

Data latency

Operational data layer

Open Banking

The application development community features top thought leadership focusing on optimal practices in software development, SDLC methodology, mobile app development and application development platforms and tools. Join top software engineers and coders as they cover emerging trends in everything from enterprise app development to developing for mobile platforms such as Android and iOS.

Application Development

The unexpected nature of natural disasters and other disruptive events means that preparation is key to managing disaster recovery and business continuity planning. Join the business continuity and disaster recovery community for live and recorded presentations discussing best practices for business continuity planning, disaster recovery programs and business continuity management. Learn from BCDR experts to develop your critical infrastructure and gain insight into tactical solutions to your BCDR issues.

Business Continuity / Disaster Recovery

Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.

Business Intelligence and Analytics

Join thousands of engaged IT professionals in the application management community on BrightTALK. Interact with your peers in relevant webinars and videos on the latest trends and best practices for application lifecycle management, application performance management and application development.

Application Management

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Big Data and Data Management

As an IT professional, many of the problems you face are multifaceted, complex and don’t lend themselves to simple solutions. The information technology community features useful and free information technology resources. Join to browse thousands of videos and webinars on ITIL best practices, IT security strategy and more presented by leading CTOs, CIOs and other technology experts.

Information Technology

Get powerful banking and treasury insights for your business. Connect with experts and colleagues to get the most up-to-date knowledge on hot topics such as digital banking, payments disruption and non-bank competition. Learn how the latest treasury management strategies are helping to mitigate operational, financial and reputational risk.

Banking and Treasury

Join this new, vibrant community to learn and connect with top thought leaders, startups and banks who are disrupting the financial services industry. Keep up with the latest news and trends in Fintech and take part in lively debates on topical issues and challenges.

Fintech

The accounting and finance community on BrightTALK features presentations from leading accountants and finance professionals. The accounting community includes tax planning strategies, QuickBooks webinars and other accounting webinars, while the finance community features presentations on financial capital regulations and forensic data analytics. Join the conversation by attending live financial and accounting presentations and connecting with industry thought leaders.

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CxO Strategy

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Best Practices to Modernize Your Data Architecture

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Redis