If data isn’t accessible for real-time analytics, is it still valuable? Immuta’s native Databricks integration avoids this dilemma by using ML to streamline data access governance, and deliver analytics-ready data quickly and securely. For Databricks users leveraging Immuta, ML drives sensitive data discovery, dynamic access control, and consistent policy enforcement.

In this special guest feature, Erik Fogg, Chief Operating Officer at ProdPerfect, covers some of the main benefits of adding AI to the software testing process, and why you should consider adding it to yours if you haven’t already. ProdPerfect is an autonomous E2E regression testing solution which leverages data …

The new data science title "Hands-On Exploratory Data Analysis with Python," by Suresh Kumar Mukhiya and Usman Ahmed from Packt Publshing is a welcome addition to the growing list of books directed to help newbie data scientists improve their skills. I'm always on the lookout for texts that can help …

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 …

In this special guest feature, Eran Shlomo, Co-Founder and CEO of Dataloop, asks why unstructured data is so critical to building better AI – and how can organizations optimize their management of this data? Here is how combining the best of human intelligence and cutting-edge technology can help enterprises clear …

In the video presentation below, Amit Bhattacharyya, Head of Data Science at VOX Media, describes a clustering model that connects users to the content they are consuming to identify context-based audience segments. In turn, these segments are used to train a classification model that is used in real time to …

In this start-up highlight piece, we discuss how a CMU professor and his former grad student are ushering in a new era of responsible AI, and helping companies address bias in their AI models. This is a short story of the genesis of Truera.

This four part report, "XAI: Are We Looking Before We Leap?," from our friends over at SOSA highlights the challenges and advances when it comes to regulations, relevant use-cases, and emerging technologies taking the mystery out of AI.

Just a couple of handy functions to visualise and overview data

The financial service industry (FSI) is rushing towards transformational change, delivering transactional features and facilitating payments through new digital channels to remain competitive. Unfortunately, the speed and convenience that these capabilities afford also benefit fraudsters. Fraud in financial services still remains the number one threat to organizations’ bottom line given …

Molecula, an enterprise feature store built for machine-scale analytics and AI, announced it closed a $17.6 million Series A round of funding, bringing its total funding to $23.6 million. The round is led by Drive Capital, with participation from TTV Capital and existing investors including Tensility.

This is a guest post authored by Sr. Staff Data Scientist/User Experience Researcher Jing Pan and Senior Data Scientist Wendao Liu of leading health insurance marketplace eHealth. None generates Taichi; Taichi generates two complementary forces; Two complementary forces generate four aggregates; Four aggregates generate eight trigrams; Eight trigrams determine myriads …

In this special guest feature, Gilad Avrashi, CTO & Co-Founder at MDgo, believes that now is the time for the insurance industry to leverage AI technology to unlock the power of data and provide personalized services that customers demand to retain them as loyal customers.

Last year, around the time when people were baking a lot of things,…Tags: baking, food, machine learning, recipe

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 …

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.

Link to the Code Objective Two main objectives of this project are to determine the factors that influence the Zillow Rental Index (ZRI) and to utilize them to produce annual forecasts of the ZRI at the zip code level. The Zillow Observed Rent Index (ZORI) was used as a benchmark …

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 …