Banking & Finance


Google makes Contact Center AI generally available ZDNet

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What is AI? Everything you need to know about Artificial Intelligence Google Cloud on Thursday announced the general availability of Contact Center AI. The contact center software enables businesses to deploy virtual agents for basic customer interactions, and it offers an "agent assist" feature to transcribe calls, recommend workflows and provide other kinds of AI-driven assistance. Google also announced updates to Dialogflow, the development suite for building conversational interfaces such as chat bots and interactive voice responses (IVR). With a new agent validation feature, designers can get feedback on the quality and performance of their virtual agents. Dialogflow also now supports compliance with the Health Insurance Portability and Accountability Act (HIPAA) and Payment Card Industry (PCI) data security standards.


Emerging Technology and Financial Security Explore Commonwealth

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New and emerging technologies throughout history have transformed our lives, well-being, and day to day tasks. This is true in financial services as well: we use cash less and cards more, have access to banking services 24/7, and can perform most aspects of our financial lives without visiting a bank branch. Emerging technologies also carry new risks and are distributed unevenly, with some populations using cutting edge technology to get ahead, while others are left out of the system. When it comes to financial services, Commonwealth believes that it is crucial to ensure financially vulnerable consumers are included as our financial system continues to evolve. Our team focused on getting a deeper understanding of the technology and use cases for blockchain, machine learning, and data science.


The Apple Card algo issue: What you need to know about A.I. in everyday life

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When tech entrepreneur David Heinmeier Hansson recently took to Twitter saying the Apple Card gave him a credit limit that was 20 times higher than his wife's, despite the fact that she had a higher credit score, it may have been the first major headline about algorithmic bias you read in your everyday life. It was not the first -- there have been major stories about potential algorithmic bias in child care and insurance -- and it won't be the last. The chief technology officer of project management software firm Basecamp, Heinmeier was not the only tech figure speaking out about algorithmic bias and the Apple Card. In fact, Apple's own co-founder Steve Wozniak had a similar experience. Presidential candidate Elizabeth Warren even got in on the action, bashing Apple and Goldman, and regulators said they are launching a probe.


How AI-Powered Sentiment Analysis Supercharges Your CX Strategy

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While it's not uncommon for small and medium-sized businesses (SMBs) to switch financial institutions, the 2019 FIS Performance Against Customer Expectations report has found that the rate of churn is increasing. Historically, 13%-15% of small and medium-sized firms have been found to be actively reviewing their banking relationships. However, the turnover rate has now risen to 61% among the top 50 U.S. banks and 60% among regional banks. All it may take to push an already skeptical firm to switch is one more bad experience. So customer sentiment analysis could be exactly what financial institutions need to improve customer experience -- ideally, before things ever reach that pass.


Apple Card: Did AI Run Amok?

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Apple CEO Tim Cook introduces Apple Card during a launch event at Apple headquarters on March 25, ... [ ] 2019, in Cupertino, California. This weekend, tech entrepreneur David Heinmeier Hansson went on Twitter to say that the new Apple Card provided him a credit limit that was 20 times higher than his wife's. This was even though she actually had a higher credit rating. But this was not a one-off. Apple co-founder Steve Wozniak had a similar experience with his wife!


Artificial Intelligence Roadmap - Data61

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Artificial Intelligence: Solving problems, growing the economy and improving our quality of life outlines the importance of action for Australia to capture the benefits of artificial intelligence (AI), estimated to be worth AU$22.17 Published by the Australian Government in November 2019, and codeveloped by CSIRO's Data61 and the Department of Industry, Innovation and Science, the report identifies strategies to help develop a national AI capability to boost the productivity of Australian industry, create jobs and economic growth, and improve the quality of life for current and future generations. The roadmap identifies three high potential areas of AI specialisation for Australia based on the opportunity to solve significant problems at home, export the solutions to the world and build on Australia's existing strengths. This report is intended to help guide future investment in AI and machine learning, and accompanies Artificial Intelligence: Australia's Ethics Framework, a discussion paper prepared by CSIRO's Data61 and published by the Australian Government in April 2019.


Zendrive Welcomes John Kramer as New Director of Insurance Sales

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SAN FRANCISCO, Nov. 14, 2019 (GLOBE NEWSWIRE) -- Zendrive, a mission-driven company using data and analytics to make roads safer and insurance fairer, today announced John Kramer as Director of Insurance Sales. He brings with him nearly 20 years of insurance experience in underwriting, usage-based insurance, product management, and connected car technology. "Zendrive is an established leader in driving analytics and research, with the world's largest driving data set of over 180 billion miles," said John Kramer. "The company is thinking critically about how to apply its unique, predictive telematics factors and innovative technology solutions to the insurance industry. I'm proud to join such a passionate team powering a modern, data-driven future alongside our insurance provider partners."


StockAlgo - AI Powered Stock Picks

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Disclaimer: We don't disclose how our picks are generated or the technology behind it. We have no first-hand knowledge of any profiled company's operations and therefore cannot comment on their capabilities, intent, resources, nor experience and we make no attempt to do so. To the fullest extent of the law, we will not be liable to any person or entity for the quality, accuracy, completeness, reliability, or timeliness of the information provided in the website, or for any direct, indirect, consequential, incidental, special or punitive damages that may arise out of the use of information we provide to any person or entity (including, but not limited to, lost profits, loss of opportunities, trading losses, and damages that may result from any inaccuracy or incompleteness of this information). Investing in securities is speculative and carries a high degree of risk; you may lose some or all of the money that is invested. Always research your own investments and consult with a registered investment advisor or licensed stock broker before investing.


Time-Series Anomaly Detection Kaggle NYC

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About the speaker: Kevin Chen is currently a self-taught ML practitioner concentrating on anomaly detection, time-series, streaming data, and (later) predictive analytics. He has a diverse technology and domain background spanning both enterprise and deep-tech. Previously, Kevin was a blockchain researcher/advocate involved with projects including IOTA and Fetch.AI. Before blockchain, he was in the financial sector as a back-end developer and data analyst at Citigroup and Aristeia Capital respectively. Kevin graduated from UVA with a Bachelors in CS. https://github.com/Kevin-Chen0


Boston funding news: Design and artificial intelligence top recent local investments

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Boston-based network security and UX design company LogRocket has secured $15 million in Series B funding, according to company database Crunchbase, topping the city's recent funding headlines. The cash infusion was announced Nov. 7. According to its Crunchbase profile, "LogRocket helps product teams develop better experiences for users by recording videos of user sessions with logs and network data. It identifies UX problems and reveals the root cause of every bug. LogRocket presents impactful errors on a website, and how to reproduce it."