AI News Weekly – Issue #399: [Webinar] Cut storage and processing costs for vector embeddings – Aug 20th 2024
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Welcome
Bridging AI, Vector Embeddings and the Data Lakehouse
Innovative leaders such as NielsenIQ are increasingly turning to a data lakehouse approach to power their Generative AI initiatives amidst rising vector database costs. Join us for a technical deep dive into the pivotal role of vector embeddings in AI and a demo of how you can generate and manage vector embeddings with the cost and scale efficiencies of your lakehouse.
Live webinar. Aug 27, 2024 | 10 am PT
What You Will Learn :
– Real-World Applications : In this talk, we’ll cover the challenges of generating, storing, and retrieving high-dimensional embeddings, including high computational costs and scalability issues for production workloads. Kaushik Muniandi, engineering manager at NielsenIQ, will explain how he leveraged a data lakehouse to overcome these challenges for a text-based search application, and the performance improvements he measured.
– Introduction to AI Vector Embedding Generation Transformer : Discover how Onehouse solves the above challenges by enabling users to automatically create and manage vector embeddings from near real-time data ingestion streams to lakehouse tables without adding complex setups and extra tools.
– Technical Deep Dive : Get into the nitty-gritty of Onehouse stream captures and how they integrate with leading vector databases, enabling a single source of truth for AI model training, inference, and serving.
Can’t make it? Register anyway to receive the recording!
Sponsor
Bridging AI, Vector Embeddings and the Data Lakehouse – Live Webinar
Join NielsenIQ and Onehouse to explore the crucial role of vector embeddings in AI. Discover how Onehouse makes it more cost-efficient, simple, and scalable to generate and manage vector embeddings directly from your data lake amidst rising vector database costs. Can’t make it? Register anyway to receive the recording!
In The News
Generative AI hype is ending – and now the technology might actually become useful
Less than two years ago, the launch of ChatGPT started a generative AI frenzy. Some said the technology would trigger a fourth industrial revolution, completely reshaping the world as we know it.
AI explosion creating storage and data management opportunities
The rapid expansion of AI is driving a surge in demand for advanced storage solutions and sophisticated data management practices. Companies are presented with significant opportunities to innovate and address the challenges associated with handling and processing the large volumes of data generated by AI.
Forecasting the Potential Impacts of the Lakehouse Movement on Businesses
As businesses continue to navigate the complexities of the digital landscape, adopting a Lakehouse architecture will become crucial for maintaining a competitive edge.
Generative AI And Big Data Analytics: Transforming Decision Making For Leaders
In today’s modern business environment, data is the foundation of efficient business operations. Organizations generate and collect large amounts of information from various sources such as social media, customer interactions, IoT sensors and enterprise systems. This massive collection of information, which is commonly referred to as “big data,” is essential for business leaders.
Applied use cases
Find Keyword Cannibalization Using OpenAI’s Text Embeddings With Examples
Learn how to identify keyword cannibalization using OpenAI’s text embeddings. Understand the differences between various models and make informed SEO decisions.
10 top vector database options for similarity searches
Vector databases excel in different areas of vector searches, including sophisticated text and visual options. Choose the platform that best fits organizational needs.
A Comparison of Top Embedding Libraries for Generative AI
The rapid advancements in Generative AI have underscored the importance of text embeddings. Let’s compare 15 popular embedding libraries.
Research
Open lakehouse spurs innovation amid AI data demands
Generative AI is demanding breakneck innovation from enterprises. It’s highlighting a critical need for cohesive data management and driving a seismic shift in data storage, processing and utilization. It’s also prompting a rethink of the open lakehouse concept pioneered by companies such as Onehouse.
The evolution of data storage architectures: examining the secure value of the Data Lakehouse
This study aims to investigate the secure value (comparative strengths) of the data lakehouse architecture compared to data warehouse and data lake architectures.
Embeddings or LLMs: What’s Best for Detecting Code Clones Across Languages?
Cross-lingual code cloning has become an important and difficult job due to the rising complexity of modern software development, where numerous programming languages are typically employed inside a single project.
Sponsor
Bridging AI, Vector Embeddings and the Data Lakehouse – Live Webinar
Join NielsenIQ and Onehouse to explore the crucial role of vector embeddings in AI. Discover how Onehouse makes it more cost-efficient, simple, and scalable to generate and manage vector embeddings directly from your data lake amidst rising vector database costs. Can’t make it? Register anyway to receive the recording!
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