YouTube is the second-largest social media network and search engine on the planet, with over 2.3 billion active users.  Since its inception in 2005, YouTube has grown into a tech behemoth. It is now a hub for hobby content creators, professional influencers, and social media marketing specialists.  Over 12 million

For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information they can pull from the massive amounts of data generated, accessed, and stored in myriad locations, from corporate data centers to the cloud and

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph-structured data using TensorFlow, its machine learning framework. Used in production at Google for spam and anomaly detection, traffic estimation, and YouTube content labeling, Google says that TF-GNN is designed to “encourage

Our world revolves around data. Data science, machine learning, and AI have become some of the most critical technologies and industries in the 21st Century, penetrating almost every aspect of our lives, including fitness and wellbeing. The impact of technology on fitness industry On the consumer side, this technology triumvirate

AI tech trends are driving humanity forward. Digital transformation has reached every industrial sector, and AI is achieving things that scientists have only dreamed about. Now, AI and ML technology is being used in several real-world applications that consumers come into contact with on a daily basis.  While some dystopian

There’s been an ongoing trend of people wanting increasingly capable and smaller tech devices. Those desires have spurred progress in a segment of artificial intelligence (AI) called TinyML. Here’s a look at how it could enhance future possibilities.  What Is TinyML? It’s already widely known that processing data directly on

Machine learning (ML) is how a system learns and adapts its processes from the patterns found in large amounts of data. When we think of machine learning, some prominent examples come to mind. For instance, the way product recommendations on Amazon are eerily similar to Google searches you’ve done. The

This article was originally published on Grit Daily and is reproduced with permission. The financial crisis of 2007 – 2008 resulted in marked changes to the institutional financial sector landscape. Weaknesses were brought to light and financial institutions were forced to reevaluate how they were managing data and restructure as

Data science is now essential to e-commerce success. Targeting the right audience through advertising platforms is highly necessary to boost online sales as customers only want to look at relevant products or items they need. Artificial intelligence (AI), with the assistance of machine learning (ML), helps determine the target audience

You may already know about our Data Natives event. Last year, Europe’s biggest data science, AI, and machine learning conference brought over 5,000 attendees together to enjoy more than 150 speakers in 2020. And you may also know that VentureBeat is one of the world’s most famous tech publications. VentureBeat helps break the news