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CLARA Analytics Enlists Tyler Jones as Chief Customer and Marketing Officer

#artificialintelligence

WIRE)--CLARA Analytics ("CLARA"), the leading provider of artificial intelligence (AI) technology in the commercial insurance industry, today announced that it has hired Tyler Jones to be its Chief Customer and Marketing Officer. Jones will be responsible for directing the company's complete relationship with its customers and driving efforts to assess and elevate experiences at each touchpoint across the customer journey, ensuring that commercial insurers are achieving optimal value from CLARA's AI platform. Reporting to CLARA CEO Heather H. Wilson, Jones will apply his unique blend of customer-focused innovation, technology and insurance industry expertise to CLARA's ongoing pursuit of superior customer value, continuous improvement, and exceptional service to its clients. Tyler Jones is a seasoned executive with nearly two decades of experience in the insurance and banking industries. During his tenure at Kaiser Permanente, he was accountable for technology strategies to support the company's revenue management operations.


Council Post: How AI Will Democratize Access To Investing

#artificialintelligence

"Alexa, buy a stock that has the best chance of going up between 1% and 3% today." Could the complexity of financial research ever become this simple? New developments in artificial intelligence (AI) and machine learning (ML) are disrupting the underwriting process, portfolio composition, robo-advising, research and virtually every corner of fintech. Someday, you'll have reliable AI that can analyze your specific investing style, alert you as to where opportunities lay hidden and offer you hard-hitting analyses to stay informed. This is vital because sound financial systems underpin economic growth and development, and they're the engine behind the civilized world in advancing shared prosperity and reducing class inequality.


Council Post: How AI Will Democratize Access To Investing

#artificialintelligence

"Alexa, buy a stock that has the best chance of going up between 1% and 3% today." Could the complexity of financial research ever become this simple? New developments in artificial intelligence (AI) and machine learning (ML) are disrupting the underwriting process, portfolio composition, robo-advising, research and virtually every corner of fintech. Someday, you'll have reliable AI that can analyze your specific investing style, alert you as to where opportunities lay hidden and offer you hard-hitting analyses to stay informed. This is vital because sound financial systems underpin economic growth and development, and they're the engine behind the civilized world in advancing shared prosperity and reducing class inequality.


AI in Finance: Challenges, Techniques and Opportunities

arXiv.org Artificial Intelligence

AI in finance broadly refers to the applications of AI techniques in financial businesses. This area has been lasting for decades with both classic and modern AI techniques applied to increasingly broader areas of finance, economy and society. In contrast to either discussing the problems, aspects and opportunities of finance that have benefited from specific AI techniques and in particular some new-generation AI and data science (AIDS) areas or reviewing the progress of applying specific techniques to resolving certain financial problems, this review offers a comprehensive and dense roadmap of the overwhelming challenges, techniques and opportunities of AI research in finance over the past decades. The landscapes and challenges of financial businesses and data are firstly outlined, followed by a comprehensive categorization and a dense overview of the decades of AI research in finance. We then structure and illustrate the data-driven analytics and learning of financial businesses and data. The comparison, criticism and discussion of classic vs. modern AI techniques for finance are followed. Lastly, open issues and opportunities address future AI-empowered finance and finance-motivated AI research.


The Role of Social Movements, Coalitions, and Workers in Resisting Harmful Artificial Intelligence and Contributing to the Development of Responsible AI

arXiv.org Artificial Intelligence

There is mounting public concern over the influence that AI based systems has in our society. Coalitions in all sectors are acting worldwide to resist hamful applications of AI. From indigenous people addressing the lack of reliable data, to smart city stakeholders, to students protesting the academic relationships with sex trafficker and MIT donor Jeffery Epstein, the questionable ethics and values of those heavily investing in and profiting from AI are under global scrutiny. There are biased, wrongful, and disturbing assumptions embedded in AI algorithms that could get locked in without intervention. Our best human judgment is needed to contain AI's harmful impact. Perhaps one of the greatest contributions of AI will be to make us ultimately understand how important human wisdom truly is in life on earth.


Artificial intelligence in Health Insurance - Current Applications and Trends

#artificialintelligence

Health insurance is a critical component of the healthcare industry with private health insurance expenditures alone estimated at $1.1 billion in 2016, according to the latest data available from the Centers for Medicare and Medicaid Services. This figure represents 34 percent of the 2016 National Health Expenditure at $3.3 trillion. In this article, we will look at four AI applications that are tackling problems of underutilization and fraud in the insurance industry. Some applications below claim that they are using artificial intelligence to help improve health insurance cost efficiency, while reducing waste of money on underutilized or preventable care. Other applications claim to detect fraudulent claims.


Artificial intelligence in Health Insurance - Current Applications and Trends

#artificialintelligence

Health insurance is a critical component of the healthcare industry with private health insurance expenditures alone estimated at $1.1 billion in 2016, according to the latest data available from the Centers for Medicare and Medicaid Services. This figure represents 34 percent of the 2016 National Health Expenditure at $3.3 trillion. In this article, we will look at four AI applications that are tackling problems of underutilization and fraud in the insurance industry. Some applications below claim that they are using artificial intelligence to help improve health insurance cost efficiency, while reducing waste of money on underutilized or preventable care. Other applications claim to detect fraudulent claims.


Lemonade raises $120 million from SoftBank, others to take its chatbot-based insurance service global

@machinelearnbot

Lemonade, a mobile-first, AI-infused insurance firm backed by chatbots and self-proclaimed ethics, has announced a $120 million series C funding round led by Japanese telecom giant SoftBank. The round saw participation from some existing investors, which include big names such as GV (Google Ventures), Sequoia Capital, and Allianz.


The rise of AI

#artificialintelligence

From virtual assistants to driverless cars, technology imitating human intelligence is on the rise. But at what ethical cost and how do boards future-proof their organisations in the face of rapid change? Earlier this year, a Japanese insurance company made headlines for doing something that company executives and directors around the world have been anticipating - and fearing - for years. Fukoku Mutual Life Insurance made 34 of its staff redundant and replaced them with artificial intelligence (AI) system IBM Watson. Japanese newspaper The Mainichi reported the company will be using Watson to determine payout amounts and check customer cases against their insurance contracts. Evidently, the future of AI is already here and technology has been changing the world at a dramatic pace.