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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.

Everything in its Right Place: The Potential of Decentralized AI

In this contributed article, John Suit, Chief Technology Officer at KODA, Inc., discusses the overall potential of decentralized AI. The future of artificial intelligence will be determined by how much weight we put into collaboration. Fundamentally, collaboration relies on a group of people (or machines) who share their individual knowledge to solve a problem. Decentralized AI is the path forward.

insideBIGDATA Latest News – 12/28/2020

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

High Value, Low Contact: Emerging Retail Technology for a COVID-Influenced World

In this special guest feature, Melanie Nuce, Senior Vice President of Corporate Development at GS1 US, discusses extracting maximum consumer information from store traffic while also making the experience safe and contactless. Digitizing store experiences is becoming paramount–consumers want to make the most of fewer shopping trips while technologies like AI, IoT, and sensors are coming to the forefront to support innovative consumer engagement strategies.

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