AI Articles and Analysis about Business intelligence and analytics

Artificial intelligence is likely to affect the entire landscape of insurance as we know it. Change is here, more is coming. Today, the insurance market is dominated by massive national brands and legacy product lines that haven’t substantially evolved in decades. This kind of stagnation has historically suggested that it is an industry ripe to be disrupted.

Genomics is a branch of molecular biology focused on studying all aspects of a genome, or the complete set of genes within a particular organism. Today, machine learning is playing an integral role in the evolution of the field of genomics.

Episode summary: In this episode we speak with Sangeeta Chakraborty Chief Customer Officer at Ayasdi and discuss the applications of data science and AI in healthcare, what hospitals and healthcare systems are doing to adopt this kind of technology, and how this approach can be extended to other forms of enterprise. This interview was conducted in-person at BoostrapLabs annual AI conference in SF.

The applications of AI in pharma are building momentum, but we wanted to look beyond the hype and find the underlying trends that matter in business.

Sales enablement refers to any technology solution designed to increase productivity during the sales cycle, usually for enterprise business development. Whether managing many sales reps in a large organization or increasing a single sales executive's conversion rates, the primary goal of sales enablement is to push productivity numbers up and to the right.

Despite the massive venture investments going into healthcare AI applications, there's little evidence of hospitals using machine learning in real-world applications. We decided that this topic is worth covering in depth since any changes to the healthcare system directly impact business leaders in multiple facets such as employee insurance coverage or hospital administration policies.

Artificial intelligence in news media is being used in new ways from speeding up research to accumulating and cross-referencing data and beyond.

Historically, space has been an industry only governments and heavyweight airspace corporations (such as Boeing) could handle. Uses of AI in space technology might be expected to be even more expensive, but the last decade of innovation has made space more accessible - and thanks to AI - data from space is becoming much more useful for businesses and governments.