Search Results for: Natural Language Processing – Business Applications

The amount of data companies have on customers and the number of channels customers are using to interact with businesses have grown significantly in the past decade. Artificial intelligence may hold great promise in optimizing customer and client interactions.

Episode summary: In this episode, we talk to Murali Aravamudan, Founder and CEO of AI-driven drug discovery startup Qrativ, a joint venture by the Mayo Clinic and biotech/data science firm nference. Murali and I discuss the surge of medical information and data in the medical industry, the role of artificial intelligence in developing drugs for treatments to various diseases, and the future of AI in drug discovery.

eCommerce is a bustling segment of the retail industry representing an estimated $102.7 billion or 8.3 percent of total U.S. retail sales in 2016. Total retail trade was approximated at 5.9 percent of the national GDP in 2016. As digital transactions become the standard method of purchasing goods and services, leading eCommerce firms are exploring how AI can enhance brand competitiveness and customer loyalty.

The insurance industry is a competitive sector representing an estimated $507 billion or 2.7 percent of the US Gross Domestic Product. As customers become increasingly selective about tailoring their insurance purchases to their unique needs, leading insurers are exploring how machine learning (ML) can improve business operations and customer satisfaction.

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.

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.

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.

While tech giants tend to hog the limelight on the cutting-edge of technology, AI in banking and other facets of the financial sector is showing signs of interest and adoption even among the banking incumbents.

There’s a lot of buzz about artificial intelligence shaking up enterprise procurement over the next five years. Procurement leaders wonder what elements of their jobs will be augmented - or even fully automated - by the intelligent systems. Which roles are secure from full automation, and how will more “automate-able” jobs have to adapt in the years ahead?

With all the excitement and hype about AI that’s “just around the corner”—self-driving cars, instant machine translation, etc.—it can be difficult to see how AI is affecting the lives of regular people from moment to moment. What are examples of artificial intelligence that you're already using—right now?