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On Implementing Real-time Analytics. Q&A with Chris Larsen
Q1. The ability to use real-time data to make business decisions is critical in today’s world. What are the main practical challenges in implementing real-time analytics? Real-time analytics bring...
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On KX Core Technology. Q&A with Michael Gilfix
“ Pretty soon, we’re going to expect our AI systems to have real time awareness and be knowledgeable about what happened a millisecond ago, not a month or a year ago.” You have been recently appointed...
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State of Healthcare in the Asia-Pacific region. Q&A with Luciano Brustia
” I don’t think any other industry faces the same challenges regarding the criticality and complexity of data. In no other sector is data quality so critical – it can be the difference between life...
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On Real-time AI. Q&A with Madhukar Kumar
Q1. SingleStore Now will take place on October 17, 2023 at the Chase Center in San Francisco. What is the focus of this year’s conference? As you’ve probably already guessed, “The Real-Time AI...
View ArticleIntroducing KDB.AI
Discover how our new vector database boosts Natural Language Processing and Generative AI search applications with relevancy at scale. KDB.AI is a powerful knowledge-based vector database and search...
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On Vector Databases. Q&A with Neil Kanungo
Q1: What is a Vector Database? A Vector Database is a specialized form of database that arranges data based on content similarity rather than just keywords. This is a game-changer for businesses that...
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On Data Fabric and Data Mesh. Q&A with Jeffrey Fried
“It’s fairly common that organizations are using a data fabric pattern without calling it by that name. For example, Health Information Exchanges (HIEs) use the data fabric pattern, but they were...
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On Large Language Models and Architectures. Q&A with Neil Kanungo
Q1. What is Large Language Model Architecture? Large Language Model Architecture refers to the design and structure of models that specialize in understanding and generating text. The most prevalent...
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On Vector Embeddings. Q&A with Neil Kanungo
Q1. Despite their impressive capabilities, computers cannot easily understand text, images, audio, or other human-readable data formats. Why? Computers inherently operate on binary data, and their...
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On Vector Databases. Q&A with Frank Liu
Q1. Vector embeddings are becoming increasingly popular in natural language processing (NLP), computer vision, and other artificial intelligence (AI) applications. Why? Vector embeddings are the words...
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On Retrieval Augmented Generation. Q&A with Neil Kanungo
Q1. What is Retrieval Augmented Generation (RAG)? Retrieval Augmented Generation (RAG) is a method that combines the capabilities of generative models, like LLMs, with information retrieval...
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On Vector Databases and Gen AI. Q&A with Frank Liu
Q1. From a database perspective, what are the main challenges that Generative AI (GenAI) poses? The biggest challenge that Gen AI poses is scale. We have so many sources of data – data used to train...
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How will the GenAI/LLM database market evolve in 2024. Q&A with Madhukar Kumar
Q1. What were in your opinion the main trends for the database in 2023? At the end of 2022 and the beginning of 2023, I noticed several interesting trends happening in the database ecosystem. In...
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On AI and Agriculture Sustainability. Q&A with Amanda McClerren
Growing up on a farm influenced my passion for science and ultimate career path. I’m a scientist at heart and have always liked data and facts and being objective. Great science is what motivates me –...
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On Applying Data Fabrics Across Industries. Q&A with Joe Lichtenberg.
” A data fabric is an architectural pattern that strives to create consistency among all data and metadata in an organization to make data easy to find, access, and use. A data fabric can be a...
View ArticleOn Hybrid Cloud Infrastructure. Q&A with Luca Olivari
Q1 What are the main problems most organizations face when managing applications and data across multiple clouds and on-premises? There are two main problems organizations face when managing...
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On Use of Analytics in Products Operations at SAAS companies. Q&A with...
As an engineering leader at multiple SaaS companies, I have seen firsthand the benefits of effectively integrating data science and machine learning (ML) into our operational processes. Q1. You are...
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On SingleStore Pro Max. Q&A with Nadeem Asghar
Q1. You called your recent product launch ‘SingleStore Pro Max’… Talk to us about why you chose this name? In the 2000s, smartphones emerged. They eliminated the complexity of having to lug around...
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On HPCC Systems Platform. Q&A with Richard Taylor
Q1. What is the difference between a “Data Lake” and “Data Warehouse”? A Data Lake contains raw data in its original form. That raw data is Extracted from the lake, Loaded into working systems,...
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On the Role of Immutable Storage in Enhancing Cybersecurity Strategies. Q&A...
Q1. Many flash vendors are forecasting the end of spinning disk (HDD) media in the coming years. What is your take on this? HDDs going the way of the dodo is not realistic given the reality of...
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