Blog Archives - Page 3 of 8 - Take Control of ML and AI Complexity

The EU AI Act and its Potential Impact on Enterprises Harnessing the Power of AI

Artificial intelligence (AI) is everywhere and is becoming increasingly present in our daily lives. From personalized recommendations on Netflix to virtual assistants on our smartphones, AI is changing the way we interact with technology. With our growing reliance on AI comes important questions about how it should be regulated and used. In this blog, we’ll […]

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Seldon Technologies Named a Representative Vendor in 2023 Gartner® Market Guide for AI TRiSM

Blog, With Image | Seldon

Seldon Technologies has been recognized in the 2023 Gartner Market Guide for Artificial Intelligence (AI) Trust, Risk and Security Management (TRiSM). Seldon is listed as a Representative Explainability/Model Monitoring Vendor in the AI TRiSM market for its product Seldon Deploy Advanced. What is AI TRiSM? According to the Gartner report, “the AI TRiSM market comprises

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Seldon Core+: An In-Depth Guide

Blog, Without Image | Seldon

Seldon has recently launched a new version of its lightweight offering: Seldon Core+. Core+ is designed especially for organizations needing support for their unique ML challenges, like those in highly regulated industries that must pay particular attention to governance, risk, and compliance. This new version of Core+ provides our open-source software, Seldon Core v2, backed

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Seldon’s $20 million Series B Fundraise: What it means for our Customers, Community and Roadmap

Blog, Without Image | Alex Housley

AI is everywhere, and at Seldon, we’re enabling our customers to put AI in everything. The benefits of this revolutionary technology are becoming increasingly evident, and we’re seeing many more companies roll out AI-powered solutions to innovate within their core products and to drive efficiencies across GTM and business operations. At this exciting tipping point

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The Gender Data Gap in AI: Confronting Bias in Machine Learning

Blog, Without Image | Seldon

AI and gender bias is a prevalent issue that impacts several aspects of our lives: from the design of products to the type of services provided to each respective gender. It often reflects and amplifies existing gender biases and stereotypes in society. The gender data gap can cause significant issues and complications with results of

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The Environmental Impact of ML Inference

Blog, Without Image | Alex Buckalew

The ever-growing presence of technology in our daily lives has sparked discussions among many about how it affects the environment. Being able to measure, control, and ultimately reduce the carbon footprint of your product or service is not only a responsible stance to take, it can actually bring tangible benefits to the business. Quantifying ML

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Using Explainable AI (XAI) for Compliance and Trust in the Healthcare Industry

Blog, Without Image | Seldon

A fundamental barrier the Healthcare industry faces in adoption of Machine Learning is a lack of trust and compliance for artificial intelligence solutions (AI). Increased calls for regulation, demonstrated by the FDA’s most recent guidance, pose a moral dilemma for healthcare providers trying to serve their patients. Explainable AI (XAI) in healthcare can help build

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What is Multi-Model Serving and How Does it Transform your ML Infrastructure?

Blog, Without Image | Seldon

Multi-model serving (MMS) is cutting-edge functionality with massive potential to enable a team to scale the deployment of models on a small infrastructure footprint by intelligently scheduling models to shared servers. This is made even more effective by activating “Overcommit” allowing servers to handle more models than can fit in memory. This is done by keeping

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How Can the Financial Services Industry Trust AI?

Blog, Without Image | Seldon

How can financial services teams scale AI/ML in a manner that promotes confidence, increased automation and financial returns? And what does AI in finance look like? The level of maturity and the speed of adoption varies across different territories globally. This is largely due to different talent pools, operating models and regulation that Financial Services organizations

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MLOps in Oil, Gas, and Energy

Blog, Without Image | Alex Buckalew

The oil, gas, and energy sector is a crucial part of the global economy, representing 3.2% of the world’s GDP as of 2021. With the industry coming under ever-greater scrutiny over its environmental and emissions footprint, companies throughout the space are increasingly committing themselves to improving their productivity and cutting down on waste. To help

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Blog

The EU AI Act and its Potential Impact on Enterprises Harnessing the Power of AI

Seldon Technologies Named a Representative Vendor in 2023 Gartner® Market Guide for AI TRiSM

Seldon Core+: An In-Depth Guide

Seldon’s $20 million Series B Fundraise: What it means for our Customers, Community and Roadmap

The Gender Data Gap in AI: Confronting Bias in Machine Learning

The Environmental Impact of ML Inference

Using Explainable AI (XAI) for Compliance and Trust in the Healthcare Industry

What is Multi-Model Serving and How Does it Transform your ML Infrastructure?

How Can the Financial Services Industry Trust AI?

MLOps in Oil, Gas, and Energy

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