Sign up for our newsletter and get the latest big data news and analysis.

Why Companies Must Feed Data Unicorns to Maximize ROI

In this contributed article, Amar Kanagaraj, Founder and CEO of oneDPO, presents an innovative concept to handle enterprise data. Data assets are used and valued differently depending on the organization and, within that, the team. We can classify data assets based on usage into four categories.

Data Con LA: Large Regional Data Tech Event Goes Virtual Oct. 23-25

Data Con LA, is the largest data conference for data and tech enthusiasts in Southern California. The event is now virtual, with several educational and networking opportunities. The Data Con LA virtual conference takes place from October 23rd to October 25th, 2020 and features keynotes, sessions, tutorials, and networking opportunities.

KDD 2020 Recognizes Winning Teams of 24th Annual KDD Cup

Across Four Competition Tracks, KDD Cup 2020 Tackled E-Commerce, Generative Adversarial Networks, Automatic Graph Representation Learning, Automated Machine Learning, Mobility-on-Demand (MoD) Platforms and Reinforcement Learning. KDD 2020, the premier interdisciplinary conference in data science, recognized over sixty winning teams in this year’s KDD Cup competition, which took place virtually Aug. 23-27, 2020.

Decentralized AI – SongSplitter

This article introduces the SongSplitter app, an AI-driven SingularityNET powered application for splitting vocals from a music track, now available to download now on the Google Play Store. SingularityNET foundation is a non profit foundation founded by AI pioneer, Dr. Ben Goertzel. It’s main product is the SingularityNET platform, a full-stack AI solution powered by a blockchain protocol.

Infographic: 3 Data Science Methods for SEO

At a time when data science is becoming more and more present in the habits of marketers and companies, our friends over at OnCrawl shows how data science can be a real game changer for SEO. The infographic below presents 3 ways to use data science to take your SEO strategy to the next level.

Video Highlights: How to Set Up a Remote Data Science Team

The talk below was part of a joint webinar with Appsilon and RStudio on July 28, 2020. In the presentation, Appsilon Senior Data Scientist Olga Mierzwa-Sulima explains best practices for data science teams – whether they are working in the office together or fully remote.

HuBMAP Inaugural Data Release Puts Detailed Anatomical Data about Seven Human Organs at the Service of Scientists, Public

HuBMAP (the Human BioMolecular Atlas Program) has released its inaugural data for use by the scientific community and the general public. Included in this release are detailed, 3D anatomical data and genetic sequences of healthy tissues from seven organ types, at the level of individual cells as well as many bulk tissue data sets. HuBMAP’s ultimate goal is to provide the framework required for scientists to create a 3D atlas of the human body.

Infographic: AI Innovators – The Countries & Companies Leading in AI Patents

With Artificial Intelligence (AI) continually progressing and developing, it’s unsurprising that many companies are aiming to lead in the AI technology market – especially given that the global AI market is on track to be worth over $118 billion by 2022. But which companies are currently leading the way for innovation when it comes to AI? To find out, our friends over at RS Components analyzed AI patent applications in order to find out which brands are at the forefront of AI innovation.

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.

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.