Big data is one of the most rapidly growing industries in the world and was valued at $169 billion in 2018, with expectations to approach the $300 billion mark by the end of next year. Even with such monetary influence in the world already, the industry is still figuring itself

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

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

AIaaS stands for Artificial Intelligence as a Service, which refers to companies, cloud providers, and platforms that provide access to turnkey AI solutions. Like Software as a Service (SaaS), it helps you use AI in your business without developing them in-house. AIaaS gives smaller businesses access to artificial intelligence and

When we imagine the future of AI, we may think of the fiction we see in cinema: highly advanced robots that can mimic humans so well as to be indistinguishable from them. It is true that the ability to quickly learn, process, and analyze information to make decisions is a

Auction strategy has changed dramatically as artificial intelligence (AI), machine learning (ML), and advanced analytics inform strategies for the better. Or have they?  Machines are taking over. Digital marketing is becoming dominated by real-time bidding environments, which are largely controlled by algorithms and platform technologies. Yet, these are becoming more