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Home » Innovation Profile: How CIOs Deploy Redis to Optimize Speed, Cost
AI/Hyperautomation

Innovation Profile: How CIOs Deploy Redis to Optimize Speed, Cost

Wayne SadinBy Wayne SadinMay 26, 2023Updated:May 28, 20232 Mins Read
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In this Innovation Profile that was initially featured at our Generative AI Digital Summit, practitioner analyst Wayne Sadin covers the features of Redis, an Acceleration Economy Data Modernization Top 10 shortlist company.

To hear practitioner and platform insights on how solutions such as ChatGPT will impact the future of work, customer experience, data strategy, and cybersecurity, make sure to register for your on-demand pass to Acceleration Economy’s Generative AI Digital Summit.

Highlights

00:18 — Redis provides features that can improve the performance of large language models (LLMs), like ChatGPT, and other artificial intelligence (AI) and machine learning (ML) workloads.

00:35 — Context length matters when it comes to LLMs, as this form of generative AI creates outputs by using the context from recent conversations.

00:54 — Generative AI model builders can use Redis as a vector database to cache historical user interactions, providing an adaptive prompt creation mechanism based on the current context.

Which companies are the most important vendors in data? Check out the Acceleration Economy Data Modernization Top 10 Shortlist.

01:06 — “Natural-sounding conversations depend on data retrieval speed, which is where the high performance of Redis vector database makes sense,” Wayne explains. The Redis ChatGPT Memory Project demonstrates the value of expanded context.

01:24 — Machine learning models are real-time models that require reliable low latency and scalable high throughput data serving. “Redis offers linear scaling, sub-millisecond latency, along with the fault tolerance needed to create and deploy machine learning apps at scale,” says Wayne.

Insights into the Why and How of Data and Business Modernization featured image
Guidebook: The Why and How of Data and Business Modernization

01:51 — One real-world example is iFood, an online food ordering and delivery service. It maintains an 80% share of the resilient food delivery market. Redis Enterprise Cloud scales as iFood grows. Redis on Flash meets the performance that customers demand.

02:38 — Ekata, a Mastercard company that’s a leader in real-time identity verification and fraud detection, is another example. It requires extensive use of AI and ML models to improve its accuracy and reduce latency. Ekata is able to save money on DRAM storage with Redis on Flash.

03:27 — Today’s AI, ML, and generative AI models need significant amounts of computing power and data; these needs are growing fast. Redis Enterprise Cloud and Redis on Flash provide CIOs with a powerful tool to optimize speed, cost, and other attributes.


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Analystuser

Wayne Sadin

CIO/CTO/CDO | CEO/Board Advisor
Independent Director

Areas of Expertise
  • Board Strategy
  • Cybersecurity
  • Digital Business
  • Website
  • LinkedIn

Wayne Sadin, an Acceleration Economy Analyst focused on Board Strategy, has had a 30-year IT career spanning Logistics, Financial Services, Energy, Healthcare, Manufacturing, Direct-Response Marketing, Construction, Consulting, and Technology. He’s been CIO, CTO, CDO, advisor to CEOs/Boards, Angel Investor, and Independent Director at firms ranging from start-ups to multinationals.

  Contact Wayne Sadin ...

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