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Video Highlights: BigQuery + Notebooks: Building an Analytics Pipeline on Kaggle

Your architecture choices impact how efficiently you’re able to use your data. In this “Snapshots” video produced by Kaggle, Data Scientist Wendy Kan demonstrates how she incorporates BigQuery and Kaggle Notebooks into her workflow. Watch her create an interactive network analysis graph that explores the most commonly installed Python packages!

“Above the Trend Line” – Your Industry Rumor Central for 9/4/2020

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.

TOP 10 insideBIGDATA Articles for August 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.

How Do We Make It Easier To Trust?

In this contributed article, Sean Beard, Vice President at Pariveda Solutions, discusses how automating trust presents a new set of challenges to an organization due to the subject nature of trust. Businesses must develop a better understanding of bias in their data and how different business contexts are applied to that data. With ample misinformation surrounding us all of the time, using AI machine learning, and human oversight, organizations can gain a clearer understanding of what information they can trust and what they can’t.

insideBIGDATA Latest News – 9/1/2020

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.

Deepgram Pioneers Novel Training Approach Setting New Standard for AI Companies

Artificial intelligence has made astonishing technological advances in recent years and more companies are turning to AI to improve internal functions and unlock the potential of enterprise datasets. IDC has characterized AI as “inescapable” and estimates that by 2025, at least 90% of new enterprise apps will embed AI. But getting to the right models to effectively power AI is hard – and especially hard for speech. Today in order to address these needs, Deepgram has announced Deepgram AutoML, a new training capability that streamlines AI model development, reducing manual cycles for data scientists while giving them the best accuracy humanly possible.

Research Highlights: Attention Condensers

A group of AI researchers from DarwinAI and out of the University of Waterloo, announced an important theoretical development in deep learning around “attention condensers.” The paper describing this important advancement is: “TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices,” by Alexander Wong, et al. Wong is DarwinAI’s CTO.

AI Teaching AI Via Online Contract Law Game Created Due to Covid-19 Lockdown

ContrAI is a modular, web-first product that uses AI to aid contract management and analysis. The contract processing required to train the ContrAI system was due to enter its second phase from May this year following the initial categorization process at the end of last year. However, the lock-down meant that it would no longer be possible to bring together groups of legal students to implement this in person. As a result, the online Clause Game was developed to enable the contracts to be marked up remotely, providing essential data to train the algorithm.

Maximizing the Impact of ML in Production

In this special guest feature, Emily Kruger, Vice President of Product at Kaskada, discusses the topic that is on the minds of many data scientists and data engineers these days, maximizing the impact of machine learning in production environments. Data scientists and data engineers need integrated tools that speed the development and delivery of ML-powered products. ML platforms are an emerging solution embraced by many enterprises and are purpose-built to help get ML to production efficiently and reliably.

Little Known Artificial Intelligence Secrets: What Unsupervised Learning Really Means

In this contributed article, editorial consultant Jelani Harper takes a look at the chief value proposition of unsupervised learning—for machine learning models to explore and categorize data based on their findings as opposed to stratifications imposed by humans—and how it is immensely useful for everything from general data discovery to targeted use cases like precision medicine.