Data Science


CLARA rallies $11.5 mln Series A - PE Hub

#artificialintelligence

Santa Clara, California-based CLARA Analytics, a developer of AI-based solutions focused on claims operations for the property and casualty and disability insurance industries, has raised $11.5 million in Series A funding. Oak HC/FT led the round. CLARA enables the $800 billion global commercial property and casualty market to improve financial performance by decreasing the billions of dollars in claims leakage that occurs annually. Today, solutions from CLARA empower workers' compensation claims organizations to improve the medical management of claimants while simultaneously reducing the costs of claims with easy-to-use AI-based solutions, CLARA providers and CLARA claims. CLARA's advanced analytic solutions incorporate the latest in AI technology to reduce claims leakage and frictional costs for insurance companies and self-insured corporations by: Detecting (early) potential litigation and optimizing legal representation to improve outcomes and reduce defense expenses.


Investorideas.com - FICO (NYSE: $FICO) Predicts #AI and #Blockchain Will Meet in 2018

#artificialintelligence

Blockchain will use AI to search through relationship data, says Dr. Scott Zoldi, chief analytics officer at FICO, in his AI predictions for 2018 Defensive AI will be used to protect systems from malicious AI and machine learning The growing use of blockchain technology in financial services will include a healthy dose of artificial intelligence, as new, automated analytic techniques look for patterns in the "relationship data" about people, contracts and transactions. That merger of two hot tech trends is one of the predictions made by Dr. Scott Zoldi, chief analytics officer at Silicon Valley analytic software firm FICO, and a recognized expert in the field of artificial intelligence. Check out our crypto blog on blogger.com "Beyond its association with cryptocurrencies, blockchain technology will soon record'time chains of events,' as applied to contracts, interactions and occurrences," Dr. Zoldi wrote on the FICO Blog. "Think about renting a car.


FICO Predicts AI and Blockchain Will Meet in 2018 - NASDAQ.com

#artificialintelligence

The growing use of blockchain technology in financial services will include a healthy dose of artificial intelligence, as new, automated analytic techniques look for patterns in the "relationship data" about people, contracts and transactions. That merger of two hot tech trends is one of the predictions made by Dr. Scott Zoldi, chief analytics officer at Silicon Valley analytic software firm FICO, and a recognized expert in the field of artificial intelligence. "Beyond its association with cryptocurrencies, blockchain technology will soon record'time chains of events,' as applied to contracts, interactions and occurrences," Dr. Zoldi wrote on the FICO Blog. "Think about renting a car. In the future, you will be able walk up to a car to lease it, but you'll do so with a micro-loan for which you are approved to lease the car for, say, an afternoon.


FICO Predicts AI and Blockchain Will Meet in 2018

@machinelearnbot

The growing use of blockchain technology in financial services will include a healthy dose of artificial intelligence, as new, automated analytic techniques look for patterns in the "relationship data" about people, contracts and transactions. That merger of two hot tech trends is one of the predictions made by Dr. Scott Zoldi, chief analytics officer at Silicon Valley analytic software firm FICO, and a recognized expert in the field of artificial intelligence. "Beyond its association with cryptocurrencies, blockchain technology will soon record'time chains of events,' as applied to contracts, interactions and occurrences," Dr. Zoldi wrote on the FICO Blog. "Think about renting a car. In the future, you will be able walk up to a car to lease it, but you'll do so with a micro-loan for which you are approved to lease the car for, say, an afternoon.


TD Bank Group Acquires Artificial Intelligence Innovator Layer 6

#artificialintelligence

TD Bank Group has announced the acquisition of Layer 6 Inc. ("Layer 6"), a world-renowned artificial intelligence (AI) company based in Toronto, Ontario. Layer 6 has emerged as a global thought-leader and pioneer in the delivery of responsive, personalized and insight-driven experiences for the financial services industry. Layer 6 founders Tomi Poutanen and Jordan Jacobs are also co-founders of the Vector Institute, a world leader in AI research and education that TD also supports. "Anticipating and meeting customer needs are at the heart of our promise, and we are excited to further accelerate our innovation agenda to deliver well into the future. As we deploy new solutions, we will extend our deep relationship with customers across all of our platforms and offer personalized, connected and legendary experiences for our customers in the digital age."


TD Bank Group Acquires Artificial Intelligence Innovator Layer 6 Payment Week

#artificialintelligence

TORONTO, Jan. 9, 2018 /PRNewswire/ – TD Bank Group (TD) (TSX and NYSE: TD) today announced the acquisition of Layer 6 Inc. ("Layer 6"), a world-renowned artificial intelligence (AI) company based in Toronto, Ontario. Layer 6 has emerged as a global thought-leader and pioneer in the delivery of responsive, personalized and insight-driven experiences for the financial services industry. Layer 6 founders Tomi Poutanen and Jordan Jacobs are also co-founders of the Vector Institute, a world leader in AI research and education that TD also supports. "Anticipating and meeting customer needs are at the heart of our promise, and we are excited to further accelerate our innovation agenda to deliver well into the future. As we deploy new solutions, we will extend our deep relationship with customers across all of our platforms and offer personalized, connected and legendary experiences for our customers in the digital age."


About - Adam Drake

#artificialintelligence

Adam Drake's professional background includes a wide range of technical professional and management roles, including: leading technical business transformations in global and multi-cultural environments, performing in-depth technical due-diligence and funding analysis for investors, and mentoring new technical and operational executives. His passion is to help companies become more productive by improving internal leadership capabilities, and accelerating product development through technology and data architecture guidance. His technical interests include online learning systems, high-frequency/low-latency data processing systems, recommender systems, distributed systems, and functional programming. Adam has a background in Applied Mathematics and has worked in technology roles since the 90s. Some talks I've given, in reverse chronological order: Sharing data for any purposes, including for machine learning, is fraught with problems related to ethics, organizational policy and dynamics, and regulatory restrictions.


Kinetica Predicts AI and IoT Use Cases Will Drive Demand for Next-Gen Databases in 2018

#artificialintelligence

Today's analytical workloads require faster query performance, advanced analysis methods, and more frequent data updates. For real-time analysis of massive data sets, particularly for use cases where time and location matter, enterprises are turning to new next-generation databases to explore data faster and uncover new insights. "Based on its enormous potential, investments in AI can be expected to increase in 2018, while investments in IoT will need to show measurable return," said CTO and Cofounder of Kinetica Nima Negahban. "The ability to operationalize the entire pipeline with GPU-optimized analytics databases now makes it possible to bring AI and IoT to business intelligence cost-effectively. And this will enable the organization to begin realizing a satisfactory ROI on these and prior investments."


Arundo Analytics Announces Latest Release of Industrial IoT Software Suite

#artificialintelligence

HOUSTON & OSLO, Norway--(BUSINESS WIRE)--Arundo Analytics, a software company enabling advanced analytics in heavy industry, announced today the Fall 2017 general availability software release for its Arundo Enterprise suite. The latest release includes significant feature and functionality upgrades in Arundo's Edge Agent, Composer and Fabric software products for advanced analytics and Industrial IoT enablement. "Our Fall 2017 release further enables industrial customers in industries such as oil & gas, maritime and utilities to rapidly connect machine learning models, live data sources and business decision-makers through flexible, easy-to-use software," said Tor Jakob Ramsøy, Founder and CEO of Arundo Analytics. The Fall 2017 release follows the successful introduction of the Arundo suite to heavy industrial users starting in 2016. Arundo's customers and partners include Statoil, the Norwegian national oil company; Carnival Cruise Line, the world's largest passenger shipping company; and SICPA, the leading provider of security and authentication services to national governments worldwide.


Lockheed Martin and NEC to Enhance Satellites, Space Travel with Artificial Intelligence

#artificialintelligence

TOKYO, Dec 14, 2017 - (JCN Newswire) - Lockheed Martin and NEC Corporation (TSE: 6701) today announced that Lockheed Martin will use NEC's System Invariant Analysis Technology (SIAT) in the space domain. SIAT's advanced analytics engine uses data collected from sensors to learn the behavior of systems, including computer systems, power plants, factories and buildings, enabling the system itself to automatically detect inconsistencies and prescribe resolutions. NEC's advanced Artificial Intelligence (AI) capabilities and Lockheed Martin's space domain expertise offer new opportunities in developing enhanced integrated satellite and spacecraft operations with uniquely developed prescriptive analytics. These include rapid assessments of changes in performance and the space environment, such as the potential influence of space weather on electronics. With this information, operators can improve product performance and lifecycle efficiency.