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How AI Will Shape the Future of Customer Communications

In this contributed article, Eric Schurke, VP of Operations at Ninja Number, discusses how AI solutions are changing the way businesses communicate in 2021 and beyond. To succeed you should focus on three different aspects: incorporating customer feedback, over-communicating wherever you can, and building a culture of customer success.

AI-driven Platform Identifies and Remediates Biases in Data

Synthesized has released the Community Edition of its data platform for Bias Mitigation. Released as a freemium version, the offering incorporates AI research and cutting-edge techniques to enable any organization to quickly identify potential biases within their data and immediately start to remediate these flaws.

Interview: Kathy Baxter, Architect of Ethical AI Practice at Salesforce

I recently caught up with Kathy Baxter, one of the elite AI ethicists in the world and Salesforce’s Principal Architect of Ethical AI, to discuss the good, the bad and the ugly of ethical data collection. Kathy comments on the current issues and challenges that enterprises are facing when it comes to data collection and why getting it wrong will prove catastrophic.

“Above the Trend Line” – Your Industry Rumor Central for 1/11/2021

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. 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.

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.

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.

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.

How Feature Stores will revolutionize Enterprise AI

In this contributed article, Monte Zweben, CEO and co-founder of Splice Machine, discusses Feature Stores which are a new MLOps technology being adopted by cutting-edge companies like Uber, Airbnb, and Netflix, and for good reason. A Feature Store is a system made specifically to automate the input, tracking, and governance of data into machine learning models.