Name: 3 Ways Redis Enterprise Can Help Customers Modernize Apps
Start: 2022-11-17T19:00:00Z
End: 2022-11-17T19:00:39.000Z
Location: BrightTALK
Rating: 5

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

As organizations face increasingly complex changes at faster rates, it is vital that leaders have key capabilities for leading and managing change effectively. Having the right skills, knowledge and experience are vital for engaging stakeholders with organizational transformations and ensuring that change achieves benefits and is sustainable. 
 
Join Julie Hodges (Professor of Organisational Change at Durham University) as she explores the key capabilities for leading planned change effectively and considers how leaders can engage people in co-creating change so that they are committed and ensure that the change is sustainable.
 
You'll discover how to:
 
• Enhance your capabilities for leading digital transformations;
• Increase your engagement with stakeholders during digital transformations;
• Create a supportive environment for organizational change;
• Identify what you might do differently in leading digital transformations.

Leading Change: A Leader's Guide to Successful Transformation

Getting people onboard with any sort of change is never easy. Nowhere is this more evident than in the context of digital transformation, where, according to McKinsey, 70% of initiatives fail on account of employee resistance.  

Without understanding some fundamentals of human psychology and neuroscience, getting people on board and engaging with digital transformation can feel like an uphill battle.  

In this session, Simon Moore explains how the human brain responds to calls for change and change management best practices to help get your organisation on board and excited about your transformation plans.  

Topics for discussion include: 
- What psychology and neuroscience tell us about human resistance to change, and why it matters in the context of digital transformation; 
- Best practices for driving engagement: why you need to tap into your team’s emotional needs to get more traction; 
- How to reframe the concept of change to increase relevance and enthusiasm across the organisation; 
And more...

How to Engage the Human Brain to Facilitate Digital Transformation

There’s no one size fits all solution to digital transformation. Each organization has different levels of maturity and goals, and there is no one silver-bullet digital road map that works for all organizations.
 
Our research shows that digital transformation programs go through three natural phases: initiation, execution, and anchoring. Drawing upon years of experience and insights from more than 1,500 digital leaders, this session shares some common challenges and best practices for accelerating your digital transformation.  
 
Join Tomoko Yokoi (Researcher and Advisor in Digital Transformations, IMD Business School) as she shows you how to: 

• Build urgency for transformation when your business is doing well;
• Make the CDO role a success;
• Manage digital transformation responsibly and sustainably;
• Go beyond digital transformation.

Best Practices to Accelerate Your Digital Transformation

Too often, many organizations fail to harvest measurable business value due to legacy ways of working and measuring progress, siloed technologies and teams, a stagnant ecosystem of partnerships or other issues. Your ability to generate sustainable growth depends on mastering the interplay between people, data, automation and AI. This is a core operational challenge for many companies going forward -- and also the most important opportunity across industries.

In an evergreen enterprise, all of this happens naturally, organically, automatically. It does so because the business and its ecosystem are fed by a liquid asset that flows everywhere and energizes everything: data. The DNA of these companies intertwines the best of people working with machines to make smarter, faster moves based on human knowledge with AI, machine learning with creative inspiration, and automation with intuition.

Join Deloitte Consulting's Jim Rowan (AI & Data Operations Practice Leader) and and Sanghamitra Pati (US-India AI & Data Operations Offering Leader), to dig into the common challenges that businesses face on the path to sustainable, value-driving AI and data operations; and map out an evolved -- and ever evolving -- ecosystem model for the evergreen enterprise.

Activate Evergreen Digital Transformation with People, Data, Automation and AI

Making data work has become critical not only for our organisations, but for our daily lives as well. Data is the foundation for the advanced analytics and artificial intelligence that saved countless lives throughout the pandemic. It has become fundamental to global financial stability, but is also essential for driving the experiences we are increasingly reliant on in today's world. Yet, many of us struggle to maximise this potential for growing our organisations, reducing costs, and limiting avoidable risks. 

In this session, we will explore what data value actually is, how it can be detected, and how it can ultimately be delivered to fulfill our needs and our ambitions. 

Takeaways -- after this session you will have:
• Tools for detecting data value;
• Strategies for making change happen;
• Techniques for delivering tangible outcomes -- including a very different view of the much popularised approaches to MVP;
• Practical platform agnostic principles and pathways for making data work;
• Personal book and further information recommendations.

Making Data Work: Detect and Deliver Value via Data and Advanced Analytics

ANSI SQL has remained stable and consistent for decades even as data types, use cases, and analytics approaches have evolved aggressively during the big data era. With the success of the Starburst platform, Trino, and the Data Mesh concept, SQL is once again at the frontier of a new generation of data products that align with an organization’s structure and priorities. These data products are powering digital transformation activities across all industries and often involve real-time data and JSON document data stores residing in the Aerospike Real-time Data Platform.

This webinar will explore how an integrated Aerospike and Starburst environment delivers on the promise of Data Mesh and the data products it inspires. Among the topics covered are:

- An executive overview of Data Mesh 
- Discussion of real-time data products
- Best practices and how to get started

This webinar will be presented by Adrian Estala, Field Chief Data Officer at Starburst, Ishaan Biswas, Director of Product Management at Aerospike, and guest speaker Mike Gualtieri, VP and Principal Analyst at Forrester Research.

New Frontiers in SQL: Using Real-time Data and Document Databases in a Data Mesh

In today's rapidly changing world, digital transformation isn't just about technology -- it's about culture, people and leadership. Collaboration with key industry players is critical to driving innovation. 

Partnership with Fintechs is one of the most interesting topics of our times. Fintechs are providing an exceptional and transparent consumer experience which makes them a very valuable partner of the eco system.

Leadership, Digital Transformation and Partnership with Fintechs

Healthcare is undergoing a digital revolution, with technologies from medical AI to machine learning set to optimise efficiencies across the system, improving clinical and patient outcomes, and even opening worldwide access to good quality care.  

However, for healthcare providers, leveraging these advanced technologies does not come without its risks or challenges. When designed poorly, medical software can lead to misdiagnoses, perpetrate cultural and other biases, and generate a raft of other unintended consequences. In this context, ensuring digitisation is carried out is critical.   

In this session, Richard Dasselaar (Digital Transformation and Strategy Leader at Modern Group) explores the future of healthcare in the age of AI and shares his insights on the opportunities and challenges involved in healthcare transformation.  

Topics for discussion include: 
- The value is of applied knowledge in the digital evolution of healthcare; 
- Opportunities, benefits and limitations of AI and advanced technologies in healthcare transformation; 
- Digital self-care intervention in healthcare transformation and its impact on patients and workers; 
- How to realize the benefits of digital transformation and AI in healthcare transformation.

Optimising Healthcare Outcomes with AI and Advanced Technologies

Artificial intelligence is already transforming lives and organizations. It brings huge potential, for example, to achieve hyper-performance which is not about adding more training, but rather finding and removing obstacles from human minds. 

Artificial intelligence can facilitate that efficiently. It can help us to learn more about our own habits and decision-making patterns giving us a unique opportunity to finally re-unite both perspectives. Once they work in sync, we have arrived at human artificial intelligence. A man-machine symbiosis. A human-technology co-evolution. A state where we leverage computing power to foster our prosperity.

So, let’s keep the balance right. Between the pace of technological advancements and human evolution. And let’s apply that towards hyper-performance in our lives and organizations.

Key takeaways:
- Hyper-Performance is not about adding more training.
- It is about removing the root causes from human thinking.
- The Circles tool helps managers to achieve hyper-performance.
- The Vectoral model assures sustainable transformations.

How to Hyper-Perform with Human Artificial Intelligence

The Metaverse for enterprise is already serious business. In fact, a recent study by ExpressVPN found that 3 out of 5 employees and 66% of employers are keen to explore immersive technologies and develop a metaverse-ready workforce. However, as much of it remains unchartered territory for many of us, businesses need to be pragmatic about how they go about metaverse adoption.

Organisations need a whole new skill set to design meaningful experiences for their users and accelerate the adoption of their metaverse investment. To ensure the relevant ROI and benefits can be realised, businesses need to adopt an approach that both builds value upstream and accelerates adoption downstream.

In this session, Rosa Metra (HumanTech Adoption®Methodology Author, Change Works UK and Human Change Consulting Italy Owner) shares the HumanTech Adoption® Methodology, to help accelerate human adoption of the Metaverse.

Join the session to discover how to:
· Upstream UI/UX Value Based Design.
· Confidence building by experimenting Platforms, Blockchains, Immersive Collaboration.
· Downstream Ensure continuous adoption.
· And more.

Accelerating Value-Driven Metaverse Adoption

Accelerating Digital Transformation

Today’s applications are faster, more powerful, and routinely capable of doing things that were considered extraordinary just a few years ago. Your applications must evolve. But who wants to constantly migrate, replatform, or re-architect? 

Join our session to explore three common ways that customers use Redis Enterprise to build a bridge to modern real-time applications.

3 Ways Redis Enterprise Can Help Customers Modernize Apps

Caching

Database Management

real time applications

real time data

Cloud Applications

Hybrid Cloud

Big Data

Big Data Analytics

Cloud

Data Management

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Application Development

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3 Ways Redis Enterprise Can Help Customers Modernize Apps

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