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Edge Computing 101: Understanding the 5 Different Types of Edge Solutions

insideBIGDATA

In this special guest feature, Wayne Carter, VP Engineering of Couchbase, discusses the current state of edge computing, while digging into the different types of edge (including micro edge, mini edge, medium edge, heavy edge and multi-access) and when it makes sense to use them.

Big Data 418
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GhostFaceNets: Efficient Face Recognition on Edge Devices

Analytics Vidhya

The journey is not just a blog post, but a unique exploration of […] The post GhostFaceNets: Efficient Face Recognition on Edge Devices appeared first on Analytics Vidhya. This blog post explores GhostFaceNets through captivating visuals and insightful illustrations, aiming to educate, motivate, and spark creativity.

Analytics 279
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Nvidia Introduces VILA: Visual Language Intelligence and Edge AI 2.0

Analytics Vidhya

Nvidia and MIT have recently launched a VLM named VILA, enhancing the capabilities of […] The post Nvidia Introduces VILA: Visual Language Intelligence and Edge AI 2.0 This integration enhances the capabilities of artificial intelligence (AI). appeared first on Analytics Vidhya.

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Edge computing in 2023: International data science trends

Data Science Dojo

One of the advanced developments is edge computing. This article will explore edge computing and why it is considered the new frontier in international data science trends. Some of the main characteristics of edge computing include: Speed: Faster data processing and analysis. But what exactly is it?

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation?

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The Promise of Edge AI and Approaches for Effective Adoption

KDnuggets

Organizations are adopting edge AI for real-time decision-making using efficient and cost-effective methods such as model quantization, multimodal databases, and distributed inferencing.

Database 282
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Edge Detection: Extracting The Edges From An Image

Analytics Vidhya

ArticleVideo Book Objective Understand what is edge detection and how it can be helpful in image classification. The post Edge Detection: Extracting The Edges From An Image appeared first on Analytics Vidhya. Learn how kernels are used to identify.

Analytics 336
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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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7 Questions Every App Team Should Ask

Which sophisticated analytics capabilities can give your application a competitive edge? In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.