In this contributed article, Lucas Bonatto, CEO & Founder of Elemeno, suggests that the constant use, upgrade, and acceleration of AI and machine learning will create countless opportunities for enabling innovation in organizations outside IT, as well as adapting to changes in the IT Operations Model. The secret to automating ML lifecycles is to increase the adoption of AI around the world. The first step to achieve this goal is by providing an end-to-end ML-Ops platform with an AI Marketplace where users can obtain models, making the use of AI as seamless as possible.
Search Results for: machine learning
SiMa.ai Ships Purpose-built Machine Learning SoC Platform to Customers for Embedded Edge Applications
August 30, 2022 by Leave a Comment
SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, announced that it has begun shipping the industry’s first purpose-built software-centric Machine Learning System-on-Chip platform for the embedded edge – the MLSoC.
Federated Machine Learning and Its Impact on Financial Crime Data
August 25, 2022 by Leave a Comment
In this special guest feature, Gary M. Shiffman, PhD, Co-founder and CEO, Consilient, takes a look at Federated Machine Learning, the branch of machine learning that’s sure to be a revolution for FCC professionals by enabling collaboration while preserving privacy. After all, money launderers are humans and therefore display consistent patterns of behavior. Machine learning (ML) technology, at its core, detects patterns across big data.
Machine Learning Model Management: Ensemble Modeling
August 23, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper highlights how the machine learning approach called ensemble modeling enables organizations to utilize an assortment of models and combine them, and their predictive accuracies, to get the best result.
A “Glass Box” Approach to Responsible Machine Learning
July 26, 2022 by Leave a Comment
In this contributed article, editorial consultant Jelani Harper suggests that machine learning doesn’t always have to be an abstruse technology. The multi-parameter and hyper-parameter methodology of complex deep neural networks, for example, is only one type of this cognitive computing manifestation. There are other machine learning varieties (and even some involving deep neural networks) in which the results of models, how they were determined, and which intricacies influenced them, are much more transparent.
Wallaroo Introduces Free Community Edition to Democratize Production Machine Learning
July 13, 2022 by Leave a Comment
Wallaroo Labs announced the general availability launch of its new, free Community Edition (Wallaroo CE) version of its enterprise product that helps teams speed up and simplify the deployment and operations of machine learning (ML) models and pipelines in production. For too long, the perception was that scaling ML required unlimited resources or specific skills/expertise for data scientists and ML engineers.
Reforming Prior Authorization with AI and Machine Learning
July 7, 2022 by Leave a Comment
In this contributed article, Niall O’Connor, CTO at Cohere Health, discusses how the application of AI and ML to the onerous prior authorization (PA) process can relieve both physicians and health plans of the repetitive, manual administrative work involved in submitting and reviewing these requests. Most importantly, these intelligent technologies transform PA from a largely bureaucratic exercise into a process that is capable of ensuring that patients receive the highest quality of care, as quickly and painlessly as possible.
Predibase Introduces a New Way to Do Low-Code Machine Learning
May 16, 2022 by Leave a Comment
Predibase emerged from stealth with its commercial platform that lets both data scientists and non-experts develop flexible, state-of-the-art ML with best-of-breed ML infrastructure. Predibase has been in beta with Fortune 500 enterprises the last nine months who have seen time for model development deployment drop from months to days and used by data practitioners and engineers across each organization.
Galileo Launches to Give Data Scientists the Superpowers They Need for Unstructured Data Machine Learning
May 3, 2022 by Leave a Comment
Galileo emerged from stealth with the first machine learning (ML) data intelligence platform for unstructured data that gives data scientists the ability to inspect, discover and fix critical ML data errors 10x faster across the entire ML lifecycle – from pre-training to post-training to post-production. The platform is currently in private beta with the Fortune 500 and startups across multiple industries.
Baseten Gives Data Science and Machine Learning Teams the Superpowers They Need to Build Production-Grade Machine Learning-Powered Apps
April 27, 2022 by Leave a Comment
Baseten formally launched with its product that makes going from machine learning model to production-grade applications fast and easy by giving data science and machine learning teams the ability to incorporate machine learning into business processes without backend, frontend or MLOps knowledge. The product has been in private beta since last summer with well-known brands that have used it for everything from abuse detection to fraud prevention. It is in public beta at this time.
