Artificial Intelligence in Insurance 950×540

Artificial Intelligence in Insurance – Three Trends That Matter

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.

Lior Tasman - Artificial Intelligence and the Future of Programmatic Advertising

Artificial Intelligence and the Future of Programmatic Advertising

Episode summary: In this episode we talk to Lior Tasman who is the CEO of PredictiveBid, an Israeli-based predictive advertising optimization start-up. The team focuses on applying AI to some of the bigger issues in programmatic advertising to help draw out more ROI from ads. We discuss some of the challenges of programmatic advertising and what the future of programmatic advertising may look like from an advertiser’s perspective.

AI for Real-Time Personalization - with LiftIgniter's Adam Spector

AI for Real-Time Personalization – with LiftIgniter’s Adam Spector

Episode summary: In this episode we talk to Adam Spector, the Co-Founder & Chief Business Officer at LiftIgniter, a company which provide a service which modulates website experience per users, for an array of different businesses. Adam and I discuss what the tech giants are doing to customize their business experiences, what data they’re using to continually alter user experience and what industries and sectors might be impacted by this aggregate trend as it moves forward.

Bringing AI into an Old, Large, Existing Business - with Muriel Serrurier Schepper of Rabobank

Bringing AI into an Old, Large, Existing Business – with Muriel Serrurier Schepper of Rabobank

Episode summary:  Imagine you work in a large organization with tens of thousands of employees across multiple countries, a business that’s been around for over a hundred years, and all of a sudden you have people in one department who are interested in applying chatbots, colleagues in another department who wish to implement sentiment analysis and still another department that wants to begin using AI for fraud and risk analysis. How do you manage to put all these pieces together?

Machine Learning in Genomics - Current Efforts and Future Implications

Machine Learning in Genomics – Current Efforts and Future Applications

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.

Layer 525

Where is AI Making it’s Way into Hospitals? – with Sangeeta Chakraborty of Ayasdi

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.

AI in Pharma and Biomedici

AI in Pharma and Biomedicine – Analysis of the Top 5 Global Drug Companies

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.

Marshall Brain on Technological Unemployment and the Role of Man and Machine

Marshall Brain on Technological Unemployment and the Role of Man and Machine

Episode summary: Marshall Brain discusses how wetware (the human brain) is increasingly becoming a part of a bigger system which may in itself be managed by software systems. The roles and relationships of humans and machines are rapidly changing. With the increasing advances in technology, there are fewer and fewer skills or activities that an enterprise needs from human beings, and they only need those until they can be replaced by software or hardware.

Robots in Retail: Examples of Real Industry Applications

Robots in Retail – Examples of Real Industry Applications

It’s no secret that e-tailer Amazon has an army of robots at its warehouses to fulfill orders; currently its robot detail is 45,000 strong. The company also wants to put a fleet of airborne drones into service for fast deliveries. The question that traditional retailers face is whether or not investing in robots to operate inside their stores can actually improve business and help them stay relevant with consumers.

Smartphone AI Trends - Comparisons of Apple, Samsung, and More

Smartphone AI Trends – Comparisons of Apple, Samsung, and More

Smartphone manufacturers are trend-setters for innovations in the mobile and consumer electronics space at large. The convenience and integral role of mobile technology in the everyday lives of consumers have contributed to the estimated 77 percent of Americans who own a smartphone. It's no wonder so many of the smartphone applications we use every day leverage artificial intelligence to improve the user experience.