Survey Reveals Reasons Consumers Forego Purchasing Extended Automotive Warranties Despite Seeing Value

CAMBRIDGE, Mass., Dec. 10, 2018 /PRNewswire/ — Pegasystems Inc. (NASDAQ: PEGA), the software company empowering digital transformation at the world’s leading enterprises, today announced the results of a new survey that revealed the majority of drivers (63 percent) do not have active extended warranties despite seeing their value. In fact, 60 percent agreed warranties provide value and 62 percent of consumers with active warranties reported benefitting from them within the past year. Results also uncovered how manufacturers, their captive finance division (i.e. captives), and dealers need to work together to create transparent experiences that encourage customer loyalty.

The corporate logo for Pega (PRNewsfoto/Pegasystems Inc.)

A Pega-commissioned survey of more than 1,000 US-based consumers revealed aftermarket buying habits and opinions – including satisfaction and warranty perceptions. The survey uncovered why consumers are driving vehicles without extended warranties, as well as the factors that leave a customer satisfied after making an automotive purchase. To better protect customers’ purchases and drive loyalty, dealers, manufacturers, and captives need to understand what helps customers remain happy with their purchasing experience – both in the near- and long-term.  

Why are so many consumers driving without extended warranties?

The survey results reveal a clear disconnect between appreciating the importance of an extended warranty and actually purchasing one. The biggest barriers to consumers purchasing a warranty are: cost (35 percent), not thinking they need one (32 percent), and lack of availability at the time of purchase (29 percent). Furthermore, nearly half of those surveyed (48 percent) only somewhat understand their existing manufacturer’s warranty, and seven percent say they don’t understand it at all. It’s imperative that manufacturers and dealers understand these factors to better educate buyers and provide appropriate recommendations on how they can protect their vehicle purchases, as well as what’s included with that protection.

Understanding generational differences

While it’s important to understand why people do or do not purchase extended warranties, dealers also should understand who is making these purchases and how they can provide more personalized recommendations. Younger consumers are the primary buyers: 54 percent of 16-24-year olds have an extended warranty, while only 25 percent of those 55 and up have an extended warranty.

Generational differences also surfaced when respondents were asked how well they understand their existing manufacturer’s warranties. Nearly 40 percent of 16-24 year olds said very well, while only 22 percent of those 65 and older said the same. By understanding buyers’ needs on an individual level, manufacturers, their captives, and dealers can provide better education on the warranty options that will provide the most benefits.

A collaborative approach to creating more loyal customers

When it comes to loyalty, 54 percent of those surveyed are loyal based on a past experience with an auto brand, and 47 percent are loyal because of a positive experience with a dealership. Only 28 percent answered they are loyal because of price or vehicle performance, revealing just how much rides on the combined experience the manufacturer and dealership provide. A strong product combined with a quality in-person dealership experience are almost equally responsible for a customer coming back.

Another opportunity for manufacturers, their captives, and dealers lies in vehicle data sharing. Fifty-four percent of respondents either agree or strongly agree that they see value in a connected app experience using data from their vehicles to enhance the overall in-vehicle experience. However, many (45 percent) remain concerned about how their data will be exploited, so manufacturers, captives, and dealers must use this data in the right way.

Combined with product quality, a key element consumers look for in aftermarket experiences is transparency – whether it’s transparency from a dealer on what a warranty covers or how to purchase one, or transparency about how their data is used for better in-vehicle experiences.

To learn more about how to create better ownership and user experiences, and aftermarket value, visit  

Quotes and Commentary

“When it comes to aftermarket owner and user experiences, there is an urgency for auto manufacturers, their captive finance divisions, and dealer partners to intelligently orchestrate the fragmented channels, processes, decisions, and data necessary to cultivate more loyal customers – whether it’s helping consumers with extended warranty purchases or providing more seamlessly-connected ownership and user experiences,” said Steven P. Silver, vice president, industry market leader – manufacturing, Pegasystems. “By understanding buyers’ experiences on a deeper level, the industry can provide more personalized recommendations and effortless interactions that protect customers’ automotive purchases long-term, as well as better experiences every time consumers use their vehicles and dealers service them.”

About Pegasystems

Pegasystems Inc. is the leader in software for digital transformation. Pega’s adaptive, cloud-architected software – built on its unified Pega PlatformTM – empowers people to rapidly deploy and easily extend and change applications to meet strategic business needs. Over its 35-year history, Pega has delivered award-winning capabilities in CRM and digital process automation (DPA), powered by advanced artificial intelligence and robotic automation, to help the world’s leading brands achieve breakthrough business results. For more information on Pegasystems (NASDAQ: PEGA) visit

Press Contact:
Ilena Ryan
Pegasystems Inc.        

All trademarks are the property of their respective owners.

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R2 Learn 2.0 AutoML Helps Businesses and Individuals Deploy AI With Little AI Expertise

SAN RAMON, Calif., Dec. 10, 2018 /PRNewswire/ —, which develops AutoML software for any business to leverage the power of artificial intelligence (AI), today unveiled its new product, R2 Learn 2.0. The new automated machine learning (AutoML) product comes with significant new features for businesses across all industries and is designed for data scientists, model developers and business analysts—with or without AI expertise—to build and deploy advanced machine learning models in a fast, easy and affordable way. logo

“Given the massive amounts of data generated by most industries, the ability for enterprises to independently build and deploy machine learning models will unlock growth potential and become a major differentiating advantage in the near future,” said Yiwen Huang, founder and CEO of “R2 Learn is designed so that even if you lack AI expertise, you can still build and develop your own AI solutions.”

With two new proprietary supervised learning algorithms, building models is faster than ever. R2 Learn 2.0 will build models 20 times faster with GPU acceleration and 5 times faster without compared to its predecessor, R2 Learn 1.2. It also has support for compressed file formats which make uploading big data sets easier and faster. Additionally, it will support better data augmentation with more powerful custom feature transformation functions.

R2 Learn 2.0 has the following key advantages:

  • An end-to-end modeling workflow that automatically handles everything from data quality to model deployment;
  • An optimization engine that quickly identifies the most optimum AI model using the least amount of computing resources;
  • Self-learning capabilities that act like an experienced human data scientist to constantly improve modeling processes;
  • A high-speed modeling process that develops models in minutes and hours not days;
  • An easy to use interface and process suitable for both AI experts and non-experts; and
  • High performance with measurably better model quality.

R2 Learn has already received positive reviews from early adopters across industries that are traditionally data-heavy including medical, financial, and insurance. One example is PingAn Insurance, one of China’s biggest insurance companies that recently deployed R2 Learn 2.0.

“’s new generation of AutoML technology plays a key role in speeding up insights gathered by our Health Konnect’s Big Data Analytic Platform,” said Yi Zheng, Chief Medical Officer, PingAn Medical & Healthcare Group, a subsidiary of PingAn Insurance. “By using R2 Learn, our big data team is able to automatically build machine learning models and make full use of big data for personal health risk prediction. Going through several iterations quickly has helped us effectively predict different levels of risks and multi-disease complications.”

Building AI models to gain insights from data, however, does not require a data scientist or even a comprehensive understanding of how to implement AI. With R2 Learn 2.0, even companies and individuals that lack AI expertise can now leverage AI to fundamentally transform their businesses. For instance, Jakroo, a custom cycling and triathlon apparel company based in Pleasanton, California, was able to use R2 Learn to turn human designers’ industry expertise into creative AI models to help with the design—without a data scientist.

“By providing a near infinite suite of design options and style alternatives, R2 Learn dramatically expedited our custom design process, giving us a significant competitive edge,” said Derek Wiseman, COO of Jakroo. “We believe AI driven design powered by’s technology will change the graphic design and custom apparel industry as we know it.”

“In today’s digital world, data grows exponentially and AI capabilities are not far behind. Every industry and business, large and small, will soon have the ability to develop their own machine learning tools to better forecast industry and customer trends,” said Huang. “My team at is committed to developing a series of advanced AutoML products to drive mass AI adoption. We have accelerated our product development to better tackle real-world AI adoption problems, providing both on premise and soon SaaS solutions to make AI truly accessible for all.”

R2 Learn 2.0 is currently available on premise and free trial and SaaS offering will soon be available. To learn more about R2 Learn 2.0 and its capabilities, please visit


Founded in 2015, makes AI development and deployment fast, easy and affordable. The company’s core product R2 Learn is a full suite of AI solutions that make AI accessible for all businesses, across all sectors — with or without big data — for both AI experts and non-experts. Our team is comprised of some of the boldest and most imaginative AI and data science experts with over 60 years of combined industry experience. They are committed to transforming the industry by turning a creative idea into sophisticated real-world solutions. Headquartered in Silicon Valley with offices in Shanghai and Hangzhou, China, is growing rapidly and has raised $4.6M in seed funding to date. For more information, please visit

Press Contact
Jeff Koo
Spark for


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SOURCE, Inc. Presentation Now Available for On-Demand Viewing

Company invites individual and institutional investors as well as advisors to log-on to to view presentation

BOULDER, Colo., Dec. 10, 2018 /PRNewswire/ —, Inc. a wholly owned subsidiary of Social Life Network, Inc. (OTCQB: WDLF), based in Boulder, focused on artificial intelligence and blockchain powered social network and e-commerce technology, today announced that the December 6, 2018 presentation from Chief Executive Officer, Mr. Ken Tapp, is now available for on-demand viewing at

View investor presentations 24/7 at . (PRNewsFoto/OTC Markets Group Inc.)


MJLink’s presentation will be available 24/7 for 90 days. Investors and advisors may download shareholder materials from the “virtual trade booth” for the next three weeks.

Recent Company Highlights

  • Company owns the largest and oldest international cannabis social networks that are used by more than 1.3 million users each month.
  • Planned IPO of on the Canadian Stock Exchange in 2019.
  • Announced key additions to the Board of Directors and key hires, including: Mali Sanati as Vice President of Business Development, and Mark DiSiena as Chief Financial Officer.

Since 2010,, created by BetterInvesting (NAIC) and PRNewswire, has been the only monthly virtual investor conference series that provides an interactive forum for presenting companies to meet directly with investors using a graphically-enhanced online platform.

Designed to replicate the look and feel of location-based investor conferences, Virtual Investor Conferences unites PR Newswire’s leading-edge online conferencing and investor communications capabilities with BetterInvesting’s extensive retail investor audience network.

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KanKan AI Retail System Delivers Strong Initial Results for CP Lotus Supermarket

LAS VEGAS, Dec. 10, 2018 /PRNewswire/ — Remark Holdings, Inc. (NASDAQ: MARK), a diversified global technology company with leading artificial intelligence (AI) technologies and digital media properties, including, today announced that the KanKan AI Retail system for large-format supermarkets has been generating strong results since its launch.  After several months of implementation and testing, the KanKan Retail AI system was successfully launched last month in the new CP Lotus Supermarket store in XuZhou, Jiangsu Province, China.  The system uses KanKan’s facial recognition, gesture recognition, and product recognition technologies as well as KanKan’s Data Analytics platform to improve Lotus’s membership system and provide insight regarding customer shopping behavior.  The information provided by KanKan helps CP Lotus management understand customer needs, improve marketing, and most importantly, to convert non-membered shoppers into loyalty members.

The KanKan AI Retail system at CP Lotus is a multi-faceted deployment with augmented reality-based interactive displays set up for customers as they enter, as well as cameras and sensors placed throughout the store.  The interactive displays provide an engaging and fun way for shoppers to enhance their in-store experience, and include a portal to register new members as well as a way for customers to redeem coupons tailored to their shopping behavior.  The KanKan Data Analytics platform helps understand customers’ needs, shopping path, shopper heatmap, and monitor real time product sales details to deliver key insights that improve store operations and product marketing in real time.  In the first week since its launch, the KanKan AI Retail system created over 13,725 virtual members for CP Lotus and converted almost 4,000 new registered members, representing a 29% conversion rate.  The system also connected 5,297 members with CP Lotus on social media, and KanKan’s product recommendation algorithm sent 2,544 personalized coupons with a very strong 71% conversion rate.

“We are very excited to be successfully launched with CP Lotus and to see such robust results from our AI implementation so quickly,” said Kai-Shing Tao, Chairman and CEO of Remark Holdings. “The feedback from Lotus and CP Group executives has been very strong.  We look forward to expanding the scope of our technology deployment as we help CP Lotus build the smart retail stores of the future, and we expect to expand to more CP Lotus stores in the months ahead.”

CP Lotus Supermarkets is one of the leading retail operators in China and is an affiliate of conglomerate CP Group, one of the world’s largest companies based in Asia.  Remark is working with CP Group to deploy KanKan in other parts of their operating businesses across different industries.  CP Group made a strategic investment in Remark Holdings at the end of 2017.

Remark Holdings, Inc. (PRNewsFoto/Remark Media, Inc.)

About Remark Holdings, Inc.

Remark Holdings, Inc. (NASDAQ: MARK) delivers an integrated suite of AI solutions that enable businesses and organizations to solve problems, reduce risk and deliver positive outcomes.  The company’s easy-to-install AI products are being rolled out in a wide range of applications within the retail, financial, public safety and workplace arenas.  The company also owns and operates digital media properties that deliver relevant, dynamic content and ecommerce solutions. The company is headquartered in Las Vegas, Nevada, with additional operations in Los Angeles, California and in Beijing, Shanghai, Chengdu and Hangzhou, China. For more information, please visit the company’s website at

Company Contact:

Alison Davidson
Remark Holdings, Inc.

Investor Relations Contact:

Colton Krueger
The Plunkett Group, Inc.

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Analytics Ventures Launches AlphaTrAI, an Advanced AI-Driven Financial Trading Platform for Stocks

SAN DIEGO, Dec. 10, 2018 /PRNewswire/ — Analytics Ventures, a fund dedicated to creating and building venture companies that harness the power of artificial intelligence (AI) technologies, today announced the addition of AlphaTrAI to its venture portfolio. AlphaTrAI is a proprietary AI-based automated trading platform that fuses the latest explainable AI (XAI) techniques with multiple sophisticated trading strategies. With three-year back-testing results extending into the current volatile trading atmosphere, AlphaTrAI has outperformed the Standard & Poor’s (S&P) 500. The company is now moving to live, real-time trading for the next phase of validation.

Analytics Ventures Logo (PRNewsfoto/Analytics Ventures)

“AlphaTrAI consistently outperformed top hedge funds during back testing due to the proprietary end-to-end trading algorithms which provide superior event detection, price prediction, stock selection, and trade execution,” stated Navid Alipour, managing partner at Analytics Ventures.

Since 2016, a team of AI scientists with diverse backgrounds in computational physics, signal processing, and financial markets has built the AlphaTrAI platform. This has led to a unique approach inspired by concepts from quantum physics and dynamical systems, delivering exceptional market performance. Multiple trading strategies have been integrated into a single execution, and additional strategies are continuously tested and incorporated to enhance performance outcomes. Already highly predictive in terms of price, behavior, and trends recognition, the platform’s algorithms are built for continuous market adjustments.

“I’ve been incredibly impressed with the unmatched bench strength of AI talent working behind the scenes to develop AlphaTrAI,” noted Bill Dwyer, former president of LPL Financial. “The results achieved during the validation phase, which include a 24 percent increase in fund value verses S&P fund growth of 1.79 percent over the same period, speak for themselves.”

In addition to the AI algorithm, the AlphaTrAI engineering team has delivered a scalable, robust, end-to-end platform that is able to take in AI models and convert them to successful trades.  The automated platform provides real-time tracking and dashboarding of the results.

“I have been in the investment management business for 35 years and have consistently maintained a cynical view of black-box quantitative trading systems,” said Michael Rosen, CEO Context Capital Management. “The Analytics Ventures trading platform, AlphaTrAI, however, is the first I have been exposed to that seems to use AI to the fullest.”

For more information, visit or contact Navid Alipour, at

About AlphaTrAI
AlphaTrAI is an AI-based equity trading platform. The trading algorithm is proprietary in nature and has been built with a one-of-a-kind fusion of the latest AI techniques from concepts of quantum physics and dynamical systems. With three-year back testing results extending into the current volatile trading atmosphere, AlphaTrAI’s end-to-end automated trading platform has outperformed the Standard & Poor’s (S&P) 500. For more information, visit

About Analytics Ventures
Analytics Ventures is a venture studio fund providing front-to-end infrastructure to ideate, form, launch and fund brand new companies in artificial intelligence (AI). With its own in-house AI lab, technology, back-office, and marketing setup, Analytics Ventures takes companies from formation to public launch in as little as six months.  Supported by a large network of corporate and academic partnerships, as well as other venture funds, Analytics Ventures has launched leading AI ventures ranging from financial services, to healthcare, advertising and more. To learn more about Analytics Ventures, visit

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DTT Announces Name Change to DTiQ™ After Completing a Year of Unprecedented Growth

BOSTON, Dec. 10, 2018 /PRNewswire/ — DTT today announced its new name, DTiQ, reflecting the company’s evolution into an all-encompassing performance improvement provider for the retail, restaurant and convenience store industries. Included in the rebranding are LP Innovations and 360iQ, companies acquired earlier in 2018.  With over 20 years of heritage, DTiQ helps retailers and restauranteurs improve over 8 million consumer experiences daily.

DTT Announces Name Change to DTiQ™

The new name – DTiQ – emphasizes the commitment to intelligent video-based solutions, combined with advanced analytics, and enhanced by DTiQ’s unique managed services offering.  In 2018, DTiQ opened a new corporate headquarters in Boston, completed two acquisitions, appointed a new management team and added over 5,000 new customer locations.

DTiQ customers include brands and/or franchisees such as Adidas, Burger King, Charming Charlie, Dairy Queen, Golf Town, Hard Rock Café, KFC, McDonald’s, Pandora, Subway, Swarovski, Dunkin, US Polo, Vineyard Vines and Yankee Candle.

“Our customers are owners or operators that want to run a better store or restaurant.  They’re being asked to do more with less, and they’re competing in a changing landscape.  We help them measure the real customer experience.  We identify which employees are engaged, deliver loss prevention services and can even interact in real-time remotely.  We do this with the best technology, using a true ‘mobile first’ experience, with state-of-the-art surveillance equipment supported by cloud-based analytics and artificial intelligence,” said Mike Coffey, CEO of DTiQ. 

He continued, “Our solution delivers in a way that cuts through the clutter – bringing the key metrics that matter to the forefront for managers with our SmartAudits®.  Further, over 90% of our customers’ locations are within an hour’s drive of our field team – enabling us to take store or restaurant improvement to a personal level.”

“My business has so many moving parts and I needed a way to be in multiple places at one time.  I also needed to see the most important data – the critical insights that would enable me to maximize profit and loss prevention of my Burger King franchises at over 30 locations,” said Sanjay Patel, Principal at Devs Foods.  “Additionally, we wanted to create a better work environment – one that would improve my customer and employee experience.  That’s where DTiQ came in.  I have been a customer for over three years and have been thrilled with how they have helped me improve my business and bottom line.”

The new name is effective immediately and the rebranding will be implemented across the company’s products and services throughout 2019.  The rebranding includes a complete redesign of the company’s website, logo, graphics and communications.  DTiQ’s new brand assets include a logo that depicts elements of both video and analytics in a simple yet elegant way, much like the DTiQ solution set.

About DTiQ:
DTiQ improves how restaurants and retail locations are managed.  It is the world’s leading provider of intelligent video-based surveillance and loss prevention services; combining state-of-the-art surveillance equipment with advanced, cloud-based analytics and managed services.  DTiQ has been in business for over 20 years, enhancing over 8 million consumer experiences daily, while protecting trillions of dollars of assets. DTiQ has over 45,000 customers including corporations and/or franchisees such as Adidas, Burger King, Charming Charlie, Dairy Queen, Golf Town, Hard Rock Café, KFC, McDonald’s, Pandora, Subway, Swarovski, Taco Bell, US Polo, Vineyard Vines and Yankee Candle. For more information, visit  


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AI-powered Insurtech, Closes Series A Funding of US$ 13 Million

OAKLAND, Calif., Dec. 10, 2018 /PRNewswire/ —, a leading Artificial Intelligence (AI) startup based in the San Francisco Bay Area, has announced today the closure of its Series A financing round of US$ 13 million.  Luxembourg-based private investment fund, Blamar has led the financing. Plug & Play Ventures and existing investors also participated in the round demonstrating their continued commitment to the company. This funding confirms’s position as an innovative leader in the large-scale digital transformation underway in the $5 trillion-dollar global insurance industry. Co-Founders, Kumar Dhuvur, Head of Product and Attila Toth, CEO harnesses the power of Artificial Intelligence to help Property & Casualty insurance carriers, reinsurers, Managing General Agents and Insurtechs better assess risk.  The company has developed cutting-edge computer vision technology leveraging satellite and aerial imagery combined with structured data sources to capture billions of data points on buildings and their surroundings without ever setting foot on the premises. leverages machine learning to model multi-peril catastrophic loss events (e.g., hurricane, wildfire, flood etc.) at the property level with unprecedented accuracy. insurance customers benefit from:

  • Decreased loss ratios driven by more accurate underwriting,
  • Tighter customer and agent relationships given a delightful, digital purchasing experience,
  • Decreased expense ratios due to lesser need for physical inspections.

For example, the insurance industry was blindsided by the magnitude of losses in the wake of the California wildfires amounting to US$ 16 billion in 2017 and up to US$ 19 billion to date in 2018.  Insurers rely on outdated Fire Hazard Severity Zone maps to assess wildfire risk that missed the mark in ~85% of the cases during the 2017 wildfire in Santa Rosa, CA. has released its wildfire model that integrates high fidelity property level features about vegetation, building materials, neighborhood characteristics, topography, weather patterns and more. uses machine learning to combine these unique risk modifiers, most of which have never been accurately captured before, with actual loss data from the various wildfire events into a predictive risk score that dramatically impacts underwriting decisions and risk mitigation strategies.

“We are honored that has chosen Blamar as their capital partner. Our long-term investment philosophy aligns closely with the momentous opportunity in front of the company,”  said Laszlo Bots, CEO of Blamar.  “We know Attila and Kumar well and have the utmost confidence in their execution capabilities.”

Partner insurance executives of Plug & Play, a leading Insurtech ecosystem of 80+ global insurance companies voted the Most Innovative Insurtech Startup in August 2018.  “Many of our members are excited to partner with and the feedback on the product has been overwhelmingly positive,” commented Ali Safavi, Partner of Plug & Play Ventures.  “This is the reason why we decided to invest in this financing round.” 

“Artificial Intelligence will revolutionize the traditionally data-driven insurance industry and we are thrilled to be at the forefront of this massive change,” said Attila Toth, CEO and Co-Founder of “We are immensely thankful to our customers, employees, investors and partners for enabling us to become a leader in this space!”

The company will use the capital infusion to expand its data science, engineering and customer success teams and ingest additional proprietary data into its platform.

About leverages Artificial Intelligence to help the trillion-dollar global property insurance industry better assess risk.  We use the latest advancements in computer vision and deep learning on 115+Bn data points on residential and commercial properties to extract key building features to accurately model the potential impact of catastrophic and attritional loss events.  For more information visit:  



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A Major MNC Decides To Implement ExpenseAnywhere Across All Its Global Entities

PITTSBURGH, Dec. 10, 2018 /PRNewswire-PRWeb/ — ExpenseAnywhere, a global leader in corporate spend management automation solutions, announces that a USA-based major multinational corporation (MNC) has decided to roll out the ExpenseAnywhere travel and expense management solution to all its global entities.

ExpenseAnywhere provides the most advanced and highly configurable global Mobile and Web solution for automating corporate travel and expense management processes. With the built-in configurations for global use and country-specific regulatory requirements, the universality of the ExpenseAnywhere solution reduces the implementation and delivery time resulting in the faster deployment of the solution with reduced training and support costs, providing a higher overall ROI for our clients.

The solution utilizes machine-learning technology, artificial intelligence and OCR to create in ONE-CLICK an expense report ready for submission. The solution automatically performs hotel folio-breakout, auditing and validating each expense against the expense receipts and company policies, disallowing the non-reimbursable expenses and, with the integrated online travel, highlights book-versus bill exceptions and provides extensive spend analytics.
For our MNC Client, ExpenseAnywhere solution is already implemented at their HQ in the USA and their subsidiary in India, and more recently in Japan, with China scheduled next. At all these places, the solution is set up with their user-defined culture (language, currency, time zones), country-specific policies and regulatory requirements, and integrated with country-specific online travel solutions, corporate cards, and back-end ERP systems, including with the global SAP system.

“With these global implementations, ExpenseAnywhere solution is recognized as a truly global system, distinct from most of its competitors that generally operate in their local markets,” said Dr. Ashok Dhar, CEO of ExpenseAnywhere. Dr. Dhar further added, “Our continued investments in R&D help us deliver unparalleled automation with higher user satisfaction and increased corporate efficiency.”

About ExpenseAnywhere
ExpenseAnywhere headquartered in Pittsburgh, PA, USA is a global provider corporate spend management automation solutions. With offices in three continents and clients around the globe, ExpenseAnywhere products include, ExpenseAnywhere®, for integrated travel and expense management automation; InvoiceAnywhere® for P2P and Vendor Invoice Management processes and PurchaseAnywhere™, for the management of Purchase Card/ Pre-Paid card charges. For additional information, please visit or contact our sales at sales(at)expenseanywhere(dot)com. Experience Excellence!


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SRI International Celebrates 50th Anniversary of "The Mother of All Demos" – and Looks Toward the Future of Breakthrough Innovation in Human-Computer Interaction

MENLO PARK, Calif., Dec. 9, 2018 /PRNewswire/ — SRI International today celebrates the 50th anniversary of the “Mother of All Demos” — the world debut of personal and interactive computing. On December 9, 1968, at the Fall Joint Computer Conference in San Francisco, SRI engineer Doug Engelbart was met with a standing ovation when he gave the first public demonstration of the computer mouse and many key fundamentals of modern computing that ushered in the Information Age.

Engelbart and his SRI team debuted numerous—and now ubiquitous—technology innovations, including hypertext linking, multiple windows with flexible view control, real-time on-screen text editing, shared-screen teleconferencing, and the computer mouse. Engelbart envisioned harnessing the power of computers as tools for collaboration and the augmentation of our collective intelligence to work on humanity’s most important problems.

The demonstration was the first to show how a computer could be used as a tool to capture and share knowledge on a vast scale, a new and revolutionary idea at the time. The computer mouse was an important part of a much larger system to facilitate organizational learning and collaboration. It was the first public demonstration of a real-time collaborative environment between two computer users.

Looking Forward to the Next 50 Years
“The best way to celebrate the 50th anniversary of such a groundbreaking event is to draw inspiration and focus on delivering solutions that will improve the world,” said Bill Jeffrey, Ph.D., CEO of SRI International.  “In many ways, Doug Engelbart was ahead of his time, and parts of his vision have yet to be realized. The problems we’re addressing today are certainly different from the ones faced by Engelbart and team, but we must approach them with the same concerted effort that includes creativity, curiosity, and collaborative spirit.”

Today, projects across SRI build on the “Mother of All Demos” themes of augmenting human capabilities. Researchers are focused on developing technology that can improve human sensing, learning, and collaboration. Projects include:

  • An artificial intelligence system that continuously learns and applies that learning to become better and more reliable. [Lifelong Learning Machines (L2M)]
  • A speech-processing system that solves noise robustness, speed and edge processing in a multitude of languages. [Open Language Interface for Voice Exploitation (OLIVE)]  
  • Human-machine interaction software to help people make snap decisions in time-critical situations when faced with an overwhelming amount of information. [bRight]
  • Visual storytelling platform for conversational AI that enables 3D spatial and temporal reasoning to support research in language, vision, and planning. [Aesop]

About SRI International
SRI International creates world-changing solutions making people safer, healthier, and more productive. SRI, a research center headquartered in Menlo Park, California, works primarily in advanced technology and systems, biosciences, computing, and education. SRI brings its innovations to the marketplace through technology licensing, spin-off ventures and new product solutions.


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SameDay Security Created Virtual Caregiver Enters Clinical Trials With G60 Trauma

PHOENIX, Dec. 9, 2018 /PRNewswire-PRWeb/ — Virtual Caregiving is set to enter both the healthcare industry and patient home settings. In January 2019, G60 Trauma ( will begin testing Addison Care, the world’s first, comprehensive virtual caregiving system to provide real time, 24/7 patient monitoring and care.

Addison Care provides exciting new components to an interactive voice platform to demonstrate an interactive, augmented reality feature tied to visual sensing and connected home devices. Now, not only can you have a two-way conversation with an Electronic Caregiver, but the technology comes alive with an expertly designed augmented reality character named Addison, developed on AWS Sumerian. Addison provides a breakthrough user interface.

What can Addison do? In a clinical setting, Addison can greet a patient, recognized through facial recognition, conduct a verbal health examination, collect vitals, and even direct a comprehensive gait and balance session to determine the probability of a ground level fall in a particular patient. In the residential environment, Addison provides medication reminders, verifies medication consumption, provides medical test reminders, monitors vitals, demonstrates rehabilitation exercises, assesses a patient’s progress, mood, fall risk and responses to escalating conditions and emergencies including contacting responders or caregivers in time of patient need.

How does Addison work? A network of wireless visual sensors, local AI (artificial intelligence)-based processors, interactive tablets, Bluetooth biometric devices and emergency monitoring devices will be setup in a residence. Addison Care will be marketed and supported by a network of nationwide private duty home care providers that will serve as both live caregivers and Addison Care representatives. CEO of SDS, Anthony Dohrmann said, “Our goal is to expand affordable population health care to the masses, while lightening the burden on providers and payers. We are delivering an exciting new form of technology to patients and the active aging to improve their quality of life and health outcomes.” Addison will be making its debut at the Las Vegas Consumer Electronics Show January 8-11, 2019, Booth: Sands Convention Center Halls A-D – 42142.

Why partner with G60 Trauma Organization? Dr. Alicia Mangram, founder of G60 Trauma in Phoenix, Arizona, is a surgeon and acclaimed trauma specialist who has devoted her career to improving trauma care through advocacy, surgical and critical care research, education and community services. G60 Trauma is a specialized care program designed for trauma patients over the age of 60, with the goal of optimizing their recovery and safely discharging them back to their homes. This partnership will allow us to study hundreds of patients who have had a ground level fall and provide us with the data and information we need to continue producing products and services geared toward prevention and superior outcomes.

With an expert research team of professionals behind hundreds of successful research publications and processes, G60 Trauma team will be conducting an expansive study involving over 500 patients to document the effectiveness of Addison Care and Electronic Caregiver on improving patient outcomes, increasing patient and family satisfaction, reducing hospital readmission and reducing mortalities. Also, improving treatment adherence with the hope of validating a more effective, outcome based, continuum of care capable of reducing the long-term pressures and costs associated with long-term care and chronic disease management.

“The costs of treatment non-adherence have been reported to be as high as $300B annually and is noted as being responsible for 50% of all treatment failures. In a period of nursing and physician shortages, where home care is inadequate in frequency partly due to high cost, our hope is that Addison Care and Electronic Caregiver can fill the gap in patient care and bring better outcomes to the masses,” Dr. Alicia Mangram stated.

About SameDay Security, Inc. and Electronic Caregiver

SameDay Security (SDS) is one of the fastest growing monitored technology providers in the U.S. and one of only a handful of nationwide service providers. Known as the Electronic Caregiver CompanyTM and founded in 2009, SDS currently provides automated home care solutions and safety devices nationwide to thousands of clients. SDS has invested over $35,000,000 in patient screenings, research and development. SDS will disclose a new capital offering after CES to fuel new product launches and expansion. SDS has developing contracts with hundreds of home care partners across America who will participate in Addison Care marketing to their clients. New clinical trials are scheduled with G60 Trauma of Phoenix, Arizona, involving 500 patients over 3 years to determine the impact on patient outcomes, cost reduction, lower hospitalization, chronic disease management and long-term care. Electronic Caregiver employs over 70 employees and is headquartered in Las Cruces, New Mexico.

G60 is a specialized trauma care program developed by Dr. Alicia Mangram. Since 2009, Dr. Mangram has devoted her career to improving trauma care through advocacy, surgical and critical care research, education and community services. In the beginning of her career, she quickly realized that a traumatic injury in patients 60 years and older could occur from a simple fall resulting in a hip fracture. The traditional approach was to admit them to a medical facility and await medical clearance for pre-existing conditions such as diabetes, heart disease, etc. prior to any surgery.

While patients waited for medical clearance, other medical related complications could develop. Recognizing the cause of these complications lead to a paradigm shift and implementing an aggressive care approach for our G60 population. Through evidence-based research, Dr. Mangram and her team developed a care plan to address the needs of G60 trauma patients. These care plans achieved several goals, such as: Expedited early identification in the ER, admission to trauma service, alternative pain management modalities, for example, hip block, multidisciplinary care rounds with integration of the Biopsychosocial Model, evaluation of care approach through research and data analysis, achievement of optimal level of functioning and independence upon discharge.


SOURCE SameDay Security