How Insurance Leaders Can Prepare for Artificial Intelligence Today

How Insurance Leaders Can Prepare for Artificial Intelligence Today

There is a consensus among industry experts (both from our own insurance AI secondary research, and according to a 2017 Accenture survey report) that AI is going to be a key driver in making insurance products "smarter" in the coming 2-3 years.

Machine Learning for Dermatology 4

Machine Learning for Dermatology – 5 Current Applications

Dermatology is defined as a branch of medicine primarily focused on the evaluation and treatment of skin disorders, including hair and nails. Market research firm BCC Research projects that the global market for skin disease treatment technologies will reach $20.4 billion in 2020. Based on $17.1 billion in market revenue in 2015, this anticipated increase represents a five-year compound annual growth rate (CAGR) of 3.6 percent.

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The Department of Homeland Security Uses AI-Enhanced Entity Resolution for its Global Travel Assessment System (GTAS)

Tech Provider: TAMR - a company that automates the organization of a company’s enterprise-wide data through a machine learning-driven plus human-guided solution

Reducing the Friction of AI Adoption in the Enterprise - with Rudina Seseri

Reducing the Friction of AI Adoption in the Enterprise – with Rudina Seseri

Episode summary: There are many challenges to bringing AI into an enterprise for example the lack of skilled AI talent, or issues around data organization. In this week's episode, we focus on AI adoption in the enterprise from an investor’s perspective.

ai-in-life-sciences-trends-and-terms-that-executives-need-to-know

AI in Life Sciences Trends and Terms that Executives Need to Know

Artificial intelligence has already established a small but growing presence in the life sciences industry today, starting with drug discovery and development and now in emerging applications across the product life cycle.

Cognitive Robotic Process Automation – Current Applications and Future Possibilities

Cognitive Robotic Process Automation – Current Applications and Future Possibilities

The following brand partnership article was written by BIS Research analyst Rahul Papney, and edited by Raghav Bharadwaj of Emerj. For information about our advertising and publishing arrangements with brands, please visit our partnerships page.

Artificial Intelligence in Boston - An Overview of Startups, Funding, and Trends

Artificial Intelligence in Boston – An Overview of Startups, Funding, and Trends

With "machine learning" excitement in full swing, Boston is buzzing as always with it's own batch of startups, accelerators, and VCs, and I decided to do a deep dive into the local artificial intelligence ecosystem.

Artificial Intelligence for Medical Billing and Coding

Artificial Intelligence for Medical Billing and Coding

Medical billing and coding is an integral component of healthcare. The medical billing outsourcing market alone is projected to reach $16.9 billion by 2021. The coding and billing process translates patient record information into standard codes which are used for billing patients and third-party payers such as a Medicare and insurance companies.

Robbie Allen from Automated Insights - The Use-Cases of Natural Language Generation 2

NLP for eCommerce Search – Current Challenges and Future Potential

Episode summary: In this week's interview on the AI in Industry podcast, we speak with Amir Konigsberg, the CEO of Twiggle, about the future of product search - and how eCommerce and retail brands can use natural language processing (NLP) to improve their user experience.

Predictive Analytics in Top Utilities Firms

Artificial Intelligence in Public Utilities – Comparing Applications at 4 Top US Firms

Global spending on utility customer information systems (CISs) and analytics is expected to total nearly $37 billion from 2014 to 2023, according to a report from Navigant Research. Some of the top utilities companies in the United States have been using predictive analytics to enhance operations, cut costs and improve customers’ experience.