Data science teams are shifting their focus from model development to dataset development in order to deliver Machine Learning (ML) and Artificial Intelligence (AI) initiatives that are more performant, differentiated and aligned with business goals. This and other findings are available in the first Label Studio Community Survey, where data scientists, ML engineers and researchers from the global open source community shared insights into the state of ML and AI.
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Label Studio Survey Highlights Changing Investments and Technology Choices with the Shift from Model-Centric to Data-Centric AI
December 10, 2022 by
“Above the Trend Line” – Your Industry Rumor Central for 12/8/2022
December 8, 2022 by
Above the Trend Line: your industry rumor central is a recurring feature of insideAI News. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
Hypothesis-led data exploration is failing you …
December 8, 2022 by
In this special guest feature, Aakash Indurkhya, Co-Head of AI at Virtualitics, suggests that you should set your assumptions aside and start looking at your data through the lens of AI. Cut through the noise, surface significant insight, and take aim at the real issues. Forget data as oil–data is gold and Intelligent Exploration is the sophisticated tool that’s going to help you get at it.
2023 Trends in Data Governance
December 5, 2022 by
In this contributed article, editorial consultant Jelani Harper offers his perspectives around 2023 trends for data governance. The valuation of data governance, both to the enterprise and to data management as a whole, is evinced in two of the most discernable trends to shape this discipline in 2023.
What to Avoid When Solving Multilabel Classification Problems
December 3, 2022 by
In this contributed article, April Miller, a senior IT and cybersecurity writer for ReHack Magazine, suggests that If you are working with a model with a multilabel classification problem, there is a likely chance you will run into something in need of fixing. Here are a few common issues you may encounter and what to avoid when solving them.
AWS Announces 10 New AI Features at AWS re:Invent 2022
November 30, 2022 by
At AWS re:Invent 2022, Amazon Web Services (AWS) announced 10 new features to its portfolio of AI services, and is excited to expand its offerings to more than 100,000 customers who currently rely on AWS for AI and ML initiatives. Please see below for a high-level overview of these new features.
Heard on the Street – 11/29/2022
November 29, 2022 by
Welcome to insideAI News’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
Chung-Ang University Researchers Develop Algorithm for Optimal Decision Making under Heavy-tailed Noisy Rewards
November 26, 2022 by
Researchers from South Korean Chung-Ang University propose methods that theoretically guarantee minimal loss for worst case scenarios with minimal prior information for heavy-tailed reward distributions.
d-Matrix Unlocks New Potential with Reinforcement Learning based Compiler for at Scale Digital In-Memory Compute Platforms
November 25, 2022 by
d-Matrix, a leader in high-efficiency AI-compute and inference, announced a collaboration with Microsoft using its low-code reinforcement learning (RL) platform, Project Bonsai, to enable an AI-trained compiler for d-Matrix’s unique digital in memory compute (DIMC) products. The user-friendly Project Bonsai platform accelerates time to value, with a product-ready solution that cuts down on development efforts using an AI-based compiler that leverages ultra-efficient DIMC technology from d-Matrix.
Six Key Components to Enhance Your MDM Program
November 24, 2022 by
In this special guest feature, Robert Eichelman, Solutions Architect at Experis, shows that whether you are starting to build your Master Data Management (MDM) approach or are continuing to evolve your current program, there are key MDM fundamentals to keep in mind. This article outlines six steps to help businesses evaluate and sustain an extendable program to help ensure future success.
