Posts In Category

Contributors

Data lakehouse
Big DataContributorsData ScienceFeatured

Data professionals have long debated the merits of the data lake versus the data warehouse. But this debate has become increasingly intense in recent times with the prevalence of data and analytics workloads in the cloud, the growing frustration with the brittleness of Hadoop, and hype around a new architectural

Read More
TV, data, and advertising
Data ScienceContributorsFeaturedMarketing & Sales

The TV landscape of 2021 is unrecognizable compared to that of the 1950s when TV ad exposure measurement was born. As viewing habits have evolved over the decades, the advertising industry hasn’t always kept up-to-date.  The worldwide pandemic and national lockdowns became a catalyst for change, with UK audiences spending

Read More
Financial brands AI data personalized services
FinanceArtificial IntelligenceContributorsFeatured

Computing advances and data expansion have suddenly made AI part of everyday life and an invaluable tool for almost every industry. Healthcare, manufacturing, transportation, law enforcement, national defense, and education all stand on the precipice of revolutions due to AI’s evolution – but perhaps no field is so perfectly suited

Read More
Speech recognition systems show bias
Artificial IntelligenceContributorsFeaturedNews

This article originally appeared on VentureBeat and is reproduced with permission. Even state-of-the-art automatic speech recognition (ASR) algorithms struggle to recognize the accents of people from certain regions of the world. That’s the top-line finding of a new study published by researchers at the University of Amsterdam, the Netherlands Cancer Institute, and the Delft

Read More
DataRobot AI
Artificial IntelligenceContributorsConversationsFeatured

This article was originally published at VentureBeat and has been reproduced with permission. Dan Wright just became CEO of DataRobot, a company valued at more than $2.7 billion that is promising to automate the building, deployment, and management of AI models in a way that makes AI accessible to every

Read More
Synthetic data and AI
Artificial IntelligenceContributorsFeatured

Step by step, AI has been permeating virtually every application we use. From consumer-facing interactions to more advanced predictive B2B analytics, AI and ML algorithms consume increasing amounts of data. While thousands of companies have begun collecting data in vast quantities, the problem is that these data take a while to clean

Read More
Bias predictive analytics
Artificial IntelligenceContributorsFeatured

At first thought, predictive analytics engines seem like an ideal way to remove human bias from decision-making. After all, these models draw conclusions from data, not stereotypes, so they should be objective in theory. While this seems reasonable at first, researchers discovered that predictive analytics could indeed carry human biases

Read More
AI blockchain data monetization
Artificial IntelligenceBlockchainContributorsFeaturedTechnology & IT

Breakthroughs in AI and innovations in applying blockchain for personal data control and monetization enable new ways to make money off of personal information that most people currently give away for free. Here we highlight three data science and business model innovations, starting with breakthrough ML technology that learns on

Read More
Alan Turing - Turing Test
Artificial IntelligenceContributorsFeatured

“Can machines think?” asked Alan Turing in 1950. Yes, they can, if a human can’t tell the difference between a computer and a person. The highly influential yet widely criticized Turing test became one of the most important concepts in AI philosophy.  Seventy years later, AI applications are part of

Read More
AI-driven analytics
FeaturedArtificial IntelligenceContributors

To stay competitive in today’s world, organizations must have their fingers on their customers’ pulse at all times. Fortunately, increasing amounts of data about consumer preferences and behaviors allow marketing teams to identify the evolution of markets and customer demands. Effectively using big data for marketing efforts is now far

Read More