Organizations are increasingly looking to the network edge as the center of data-driven operations. As IT architectures grow in complexity and IoT devices proliferate, edge deployments and deep edge computation give organizations the ability to make data-driven decisions in real-time, without relying on cloud connectivity or external servers. Edge AI takes this a step further, leveraging predictive analytics and pattern recognition to automate tasks like anomaly detection and predictive maintenance. Join the Innovations in Edge Computing summit to explore the latest innovations in edge computing and discover how to harness them to optimize real-time data processing, reduce latency for data-intensive applications and bolster security for edge devices and data.
Legacy IT operations approaches are inefficient with the proliferation of digital environments, applications, services and data involved in modern day business. An effective AIOps roadmap evaluates the most suitable solutions for your organization’s needs to ensure practical approaches and best practices during implementation. Join the two-day Reimagining IT Operations with AI summit to explore how AIOps is changing IT operations teams by simplifying infrastructure optimization, automating routine monitoring, speeding up route cause analyses and reducing MTTR.
Top Stories
A feedback loop alternative to RAG that aligns LLMs with knowledge graph models November 4, 2024 by Alan Morrison Discover AI–a YouTube channel run by an unidentified Austrian man who distills and highlights the findings of AI papers in an engaging and visual way on YouTube– featured the October 2024 paper I’ll discuss in this post. These researchers from Harvard, the University of Illinois, Imperial College London, and Pfizer got together to create synergies between language models and knowledge graphs.
The Four Pillars of AI-driven Innovation November 3, 2024 by Bill Schmarzo Innovation is more than just ideation. Ultimately, innovation is about value creation. AI has sparked a growing urgency in the concepts that drive innovation as organizations seek to harness its potential to reengineer business processes and redesign business models. The objective is to generate new value across customer experiences, products, services, operations, and societal outcomes.
Exploring the role of AI in beauty and haircare 29 October 2024 by Esther Ajao and Shaun Sutner When Candace Mitchell was young, she discovered a love for computers and haircare. Her interest in technology led her to study coding in high school, leading her to build websites. Meanwhile, she also considered going to cosmetology school. She found a middle ground in beauty technology, later becoming co-founder and CEO of Myavana, a Black-owned beauty technology vendor. Myavana uses AI technology to analyze hair strands and make haircare recommendations.
In-Depth
Best practices for structuring large datasets in Retrieval-Augmented Generation (RAG) November 5, 2024 by Ashish Pawar Retrieval-Augmented Generation, or RAG, is a game-changer for AI applications, allowing large language models to pull real-time, factual information from massive datasets to enhance their responses. As demand for accurate, context-rich interactions grows, companies and developers are turning to RAG to deliver dynamic answers rooted in real data rather than pre-trained guesses.
Techniques for automated feature selection: Filter methods and implementation using Python libraries November 4, 2024 by Shanthababu Pandian Feature Selection is a crucial process in feature engineering as part of the Machine Learning life cycle. It focuses on identifying the most impactful features in the given dataset and helps to determine dependent variables, predictors, fields, or attributes from a dataset’s original set of features.
AI safety summit: Affect alignment and labor economics workshops November 1, 2024 by David Stephen There are two pillars of human society—affect and intelligence. Just one is principal to being a part of any human group. Though both are required for [social and occupational] functioning, intelligence [because it is sophisticated at most grades] may vary, but affect has to be at least average or more, for any individual to be in a group.
What to consider when selecting a learning model October 31, 2024 by Alan Morrison I had the chance to listen to a talk that Ivan Lee, Founder and CEO of Datasaur, gave during October 2024’s AI Summit here at the Computer History Museum in Mountain View, CA. Datasaur is an AWS partner and marketplace seller.
How to accelerate prototyping in manufacturing product design October 31, 2024 by Kevin Vu Prototyping is an essential step in product design that ensures that everyone from designers to developers has a shared understanding of the product’s functions and appearance. Providing clear direction for the next stages of the product development process only starts at the prototype.
LLM Chunking, Indexing, Scoring and Agents, in a Nutshell October 30, 2024 by Vincent Granville It is becoming a bit difficult to follow all the new AI, RAG and LLM terminology, with new concepts popping up almost every week. Which ones are important, and here to stay? Which ones are just old stuff rebranded with a new name for marketing purposes?
DSC Weekly 29 October 2024 October 29, 2024 by Scott Thompson Read more of the top articles from the Data Science Central community.
