Name: Fintechs: Architecting Your Data Ecosystem for Real Time Analytics - NA / EMEA
Start: 2024-02-13T17:00:00Z
End: 2024-02-13T17:01:09.000Z
Location: BrightTALK
Rating: 5

GridGain is a unified real-time data platform that enables a simplified and optimized data architecture for enterprises that require extreme speed, massive scale, and high availability from their data ecosystem. 


GridGain’s distributed memory-first architecture and colocated compute deliver data processing and analytics at millisecond latencies, with configurable disk-based persistence for added durability. Horizontally scalable clusters can be deployed both on-premises and natively in public or private clouds, empowering companies to handle even the most demanding workloads in multi, hybrid, and inter-cloud environments. 


GridGain is trusted by companies like Citi, Barclays, American Airlines, AutoZone, and UPS to accelerate their existing applications, speed operational analytics and fraud detection, train machine learning models for AI, and provide fast-access data hubs. 


To learn more, please visit www.gridgain.com.

Interested in seeing the GridGain Unified Real-Time Data Platform in action? Join us for a walk-through of the platform.

Reserve your seat now and:

- Check out the key features and capabilities of GridGain's Unified Real-Time Data Platform through a live demonstration.
- Engage with experts who will guide you through the platform, answer your questions, and provide valuable insights.
- Discover how GridGain's platform can be leveraged across various industries and use cases, including financial services, e-commerce, logistics, telecommunications, and more.
- See for yourself the speed and power of our platform as it processes massive amounts of data in real time.

Register now and reserve your seat.

Product Demo: GridGain Unified Real-Time Data Platform

First, there were DBMSs and data warehouses. Then came data lakes and event stream processing platforms. 

Now, the most advanced data solutions are Unified Real-Time Data Platforms, promising extreme speed, massive scale, and high availability for data processing and analytics. But what are they?

Join GridGain’s Chief Product and Customer Officer Lalit Ahuja for: Powering the Modern Data Architecture with a Unified Real-Time Data Platform

Tuesday, Oct 24th
7am PDT / 10am EDT / 3pm GMT+1

Learn how this new technology can simplify and optimize your data architecture by combining transactional, stream, and analytical processing across data silos into a single “unified” platform.  

Key takeaways include:

-Components that define a Unified Real-Time Data Platform
-What enables the extreme speed, massive scale, and high availability
-How Unified Real-Time Data Platforms compare to similar data technologies
-A look at real-world data challenges that are solved by a Unified Real-Time Data Platform

Register now and reserve your seat. Space is limited.

See you there!

_______________________________________
ABOUT LALIT AHUJA
Lalit Ahuja is responsible for ensuring customers gain the most value from their GridGain investments. He oversees delivery of vertically-aligned solutions in collaboration with GridGain’s strategic partners and leads a global team of solution architects focused on customer success.

In his career spanning over 20 years, Lalit has led various IT functions including enterprise architecture, product management, large scale program management, IT operations and served as a digital strategy advisor to executives at Fortune 500 enterprises.

Powering Modern Data Architecture with a Unified Real-Time Data Platform - EMEA

Enabling the broader adoption of AI and ML analytics use cases is one of the top drivers behind the modernization of data infrastructure at companies right now. From gathering, transforming, and processing data to the development, testing, and monitoring of data pipelines and models, deriving greater business value from AI and ML initiatives requires the right mix of platforms, tools, and practices.

To be successful, companies need a modular data architecture that can quickly accommodate new use cases. They also need the ability to rapidly integrate data, well-defined data governance and security processes, and standardized processes for building data pipelines. The use of automation, MLOps and AIOps methodologies, and cloud services that offer on-demand scalability are all key pillars for success as well.

Enabling Broader AI & ML Analytics Adoption: Data Platforms, Tools, & Practices

Despite ongoing investment in cloud platforms and analytics tools, many companies are still struggling with truly unlocking the business value of all their data. While the ways that users want and need to work with data continue to evolve, the increasing complexity of data and analytics systems and proliferation of data silos often pose significant hurdles. This is especially true when data is managed across a patchwork of legacy systems and new technologies adopted tactically without full consideration of broader data management imperatives and future needs. Ultimately, organizations want to empower their users with fast, easy access to actionable, reliable information and insights.

To examine next-generation platforms and architectures, along with key issues such as integration, governance and security, join GridGain's Stephen Darlington and DBTA for this on-demand webinar.

The Race to Unified Analytics: Next-Gen Data Platforms and Architectures

According to Github, "97% of applications leverage open-source code, and 90% of companies are applying or using it in some way." And according to the Apache Software Foundation, over half of all ASF projects support data management. Apache Ignite is referenced in numerous of those data categories, and is one of the Top 5 most active Apache projects. But where is this all going?

As data requirements evolve, a new data architecture has emerged to address the need for data processing and analytics across data at-rest and data in-motion, all at ultra-low latencies. Gartner calls this architecture a "Unified Real-Time Data Platform."

Ignite Summit - Watch On Demand - https://ignite-summit.org/

Join Lalit Ahuja, SVP of Product at GridGain, for this Keynote session to learn more about the Unified Real-Time Data Platform and how it relates to the the future of Apache Ignite. Lalit will further share how you, as a key member of the Ignite Community, can both benefit from and contribute to the success of Apache Ignite in this new technology segment.

ABOUT LALIT: Throughout his career, Lalit has led various IT functions including enterprise architecture, product management, large scale program management, and IT operations, and served as a digital transformation strategy advisor to executives at Fortune 500 enterprises. He holds a Master’s degree in Engineering and an MBA from UCLA.

The Future of Apache Ignite in the Open Source Economy

Financial institutions are facing increasing pressure to deliver true real-time risk management solutions across massive amounts of data from increasingly disparate data sources.

All areas of risk analysis – including market risk, credit risk, liquidity risk, collateral risk, margining – are data- and compute-intensive, making data processing with low latency and massive scale a critical requirement for leaders in the financial risk management space.

In order to provide the most timely insights, risk management teams must fully address 3 complex data challenges:

How to integrate data from numerous data sources and in different formats into a fast-access data hub
How to process, query, and analyze ALL of the data (not a subset) that are necessary for true risk analysis
How to deliver intraday risk analysis as close to real-time as possible

Join this webinar to learn both architectural and technological strategies to overcome all three of these data challenges. The "before" and "after" solutions and performance gains of 3 Fortune 500 financial institutions who successfully addressed these challenges will also be presented.

Save your spot now!

Top 3 Data Challenges in Financial Risk Management & How to Solve Them

According to a recent S&P Global Fintech survey, key 2024 trends – including cybersecurity, AI, open banking, and real-time payments – are driving Fintechs to evolve their data architectures to meet the explosive demand for real-time data processing and analytics.

You are invited to join Lalit Ahuja – Chief Technology Officer at GridGain, Venkatraman S. – Enterprise Architect at Tata Consultancy Services, and Ashley Jeffs – Chief Technology Officer at Fifth Logic for an in-depth look at how Fintechs are modernizing their data architectures to meet these needs.

Register now to:
• discuss architecture strategies that deliver ultra-low latency data processing and
analytics, at scale
• learn the details of Fintech implementations of real-time data architectures
• watch a live demo of a deployed real-time data architecture in-action

Don't miss this live event!

Fintechs: Architecting Your Data Ecosystem for Real Time Analytics - NA / EMEA

GridGain

Fintech

Big Data Analytics

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Real Time Analytics

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Fintechs: Architecting Your Data Ecosystem for Real Time Analytics - NA / EMEA

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