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Feature Stores are Critical for Scaling ML Initiatives and Accelerating both Top-line and Bottom-line Impact

Feature stores are emerging as a critical component of the infrastructure stack for ML. They solve the hardest part of operationalizing ML: building and serving ML data to production. They allow data scientists to build more accurate ML features and deploy these features to production within hours instead of months.

We All Know about AI in Medicine By Now. Here’s Why It Really Matters.

In this special guest feature, Eran Atlas, Co-Founder & CEO of DreaMed Diabetes, discusses how the rapid incorporation of artificial intelligence in medicine is no longer a novel trend, with more fields than ever developing improved solutions and protocols. Yet the intricacies of AI have often made it a difficult success story to explain to the average Joe. While AI’s huge leap forward has provided much needed clarity and assistance to medical decision-makers, its positive effects have not been as crystal clear for the general public, meaning patients and prospective patients, have no clue how it helps. This article details how AI in medicine helps and affects patients themselves, and not just the guys and gals wearing the white coats.

Why 2021 is The Year of Low-Code

Forrester analysts estimate 75% of all enterprise software will be built with low-code technology this year. As the pandemic’s impact continues well into 2021, IT leaders will continue to rely on rapid, agile low-code software development platforms to roll out business critical solutions and expand digital channels. Platforms that integrate augmented reality, holistic multi-experiences, and easy enterprise data access will enable organizations to navigate continued economic uncertainty.

Kyligence CEO Identifies Top Big Data, Cloud, and Data Analytics Predictions for 2021

Kyligence, originator of Apache Kylin and developer of the AI-augmented analytics platform Kyligence Cloud, provides its cloud data analytics predictions for 2021, focusing on the rapid growth rate of cloud-native data warehouse and data storage services that will enable the massive acceleration of analytics adoption.

2020’s Biggest Stories in AI

In this contributed article, several data scientists from Vectra AI discuss 2020’s Biggest Stories in AI. 2020 provided a glimpse of just how much AI is beginning to penetrate everyday life. It seems likely that in the next few years we’ll regularly (and unknowingly) see AI-generated text in our social media feeds, advertisements, and news outlets. The implications of AI being used in the real world raise important questions about the ethical use of AI as well.

MLOps Brings Best Practices to Developing Machine Learning

In this special guest feature, Henrik Skogström, Head of Growth at Valohai, discusses how MLOps (machine learning operations) is becoming increasingly relevant as it is the next step in scaling and accelerating the development of machine learning capabilities. The definition of MLOps is not yet crystal clear, but the practice aims to systematize and automate how machine learning models are trained, deployed, and monitored.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – December 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

The insideBIGDATA IMPACT 50 List for Q1 2021

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

TOP 10 insideBIGDATA Articles for December 2020

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

3 NLP Trends Prime for Improvement in the New Year

In this special guest feature, David Talby, CTO, John Snow Labs, discusses how the new year is expected to be another pivotal one for NLP growth, and there are several trends driving this. Significant improvements made in three specific areas will affect NLP adoption over the next year – read on to learn about the ones to watch out for.