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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Collaboration and Sharing.

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BRIDGEi2i Recognized in Gartner’s Market Guide for Artificial Intelligence Service Providers, 2021

bridgei2i

Bengaluru, September 15, 2021. BRIDGEi2i announced its inclusion in the prestigious Gartner’s Market Guide for Artificial Intelligence Service Providers, 2021. BRIDGEi2i has been featured for providing machine learning, deep learning, NLT, and optimization techniques. Venkat Subramanian.

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5 Key Data Storage Trends to Watch For in 2021

CDW Research Hub

Below are 5 data storage trends that are characterizing the storage industry in 2021 and beyond. According to the market overview report by Modor Intelligence , a market intelligence and advisory firm, the enterprise flash storage market is expected to register a CAGR of 13.67% over the forecast period (2021 – 2026). Investment in AI.

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A Golden Era of HPC in Government Meets Accelerating Demands

CIO Business Intelligence

generating $42 billion in 2021 and projected to reach $71.7 Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications. Deep learning, together with machine learning, is able to detect cyber threats faster and more efficiently. .

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Using AI for Technology Industry Solutions – Why AI is the New Internet

bridgei2i

The use of AI for technology industry solutions in 2021 is similar to using the internet for commercial or economic purposes in the early 90s. Machine Learning: Since intelligence without learning isn’t intelligence, this subset of AI focuses on parsing data and modifying itself without human effort.

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ChatGPT, the rise of generative AI

CIO Business Intelligence

A transformer is a type of AI deep learning model that was first introduced by Google in a research paper in 2017. ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). What is ChatGPT? ChatGPT is a product of OpenAI.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Methods for explaining Deep Learning.

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