Press Releases

iRecommend Software Secures $1.85 Million Series A Investment Round Led by i2E, Inc.

TULSA, Okla., Dec. 19, 2017 /PRNewswire/ — iRecommend Software, a Tulsa-based technology company developing a next-generation recommendation engine for retail, recruiting, real estate, entertainment, and healthcare industries, announced the closing of a $1.85 million Series A investment round.

Built on artificial intelligence, deep learning, and a proprietary algorithm to leverage available big data from thousands of data feeds, iRecommend is able to generate the most highly-relevant, user-specific recommendations across retail, recruiting, real estate, entertainment, and healthcare industries. Simply put, iRecommend provides the right product to the right person at the right time.

The funding was led by i2E, Inc. with participation from co-investors Warren Foundation (Tulsa), Falcon Partners (Houston), and other strategic investors. The Series A round will be used to expand global sales and marketing efforts, complete a large online retail client integration, and commercialize SaaS subscription modules for real estate and recruiting industries.

The investment builds on an exceptional year for iRecommend that included the formation of the company from a four-year R&D, beta release for recruiting and real estate business modules, and beta testing for a large online retail client to provide recommendations for its 40M+ users.

“While the term ‘recommendation engine’ is relatively new, we experience recommendation engines every day when we shop ‘recommended deals’ on Amazon, watch ‘matched’ movies on Netflix, or receive ‘recommended listings’ from Zillow. While the great majority of companies use limited data points to make recommendations, iRecommend provides much deeper, current data for our clients, allowing our AI Agent, Sophia, to provide superior, highly accurate, and personalized recommendations for each user,” said John Morad, Founder & CEO of iRecommend.  He added, “This round of investment plays a significant part in our strategic plan, allowing us to expand marketing and sales globally.”  

About iRecommend Software
Founded in 2016 by John Morad and Mark Allen, iRecommend provides businesses with a superior recommendation engine across multiple industries. iRecommend technology emerged from four years of multi-disciplinary research and development efforts in AI and machine learning fields. The company’s AI technology is changing the way business provides personalized products and services to end consumers by unleashing the full potential of big data and artificial intelligence.

For more information about iRecommend, please contact media@irecommend.ai or visit irecommend.ai

About i2E, Inc.
With offices in Oklahoma City and Tulsa, OK, i2E’s nationally recognized services include business expertise and funding for Oklahoma’s emerging small businesses. i2E has more than $50 million of investment capital under management and receives state support from the Oklahoma Center for the Advancement of Science and Technology. www.i2E.org 

 

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SOURCE iRecommend Software

Iridescent Partners with Google to Support Curiosity Machine AI Family Challenge, Aimed at Engaging Students and Families in Learning & Applying Artificial Intelligence Technologies

MOUNTAIN VIEW, Calif., Dec. 20, 2017 /PRNewswire/ — Iridescent, a global engineering and technology education nonprofit, is working with Google on a unique educational initiative, aimed at exposing underrepresented youth to cutting-edge technologies. The Curiosity Machine AI Family Challenge will feature an integrated educational program, curriculum, and competitions to help students and their families understand core concepts of artificial intelligence. A key component is applying AI tools to solve real problems that matter to a community, by addressing issues such as organized recycling, communicating public safety emergencies, and aiding the homeless.

Through this challenge Iridescent aims to demystify artificial intelligence through hands-on design  challenges and family engagement events across the country. Google will support these events with volunteers and mentors using everyday materials – like rubber bands, paper cups and batteries – to teach underserved families about engineering and computational thinking.

“Over the next few years, artificial intelligence will change our economy and the way we work. It’s vital that we train parents and their children to adopt a new mindset – one of lifelong learning,” said Tara Chklovski, CEO and Founder, Iridescent. “We are excited to be working with Google – one of the leading experts on artificial intelligence – to help underserved families and communities engage with the most cutting-edge innovations.”

This initiative is supported by Google Senior Fellow, Jeff Dean, who has led over 1,000 deep learning projects through artificial intelligence that have fed into many of Google’s products over the past few years. “The world is changing at a rapid pace and as artificial intelligence becomes more integrated into our society, we want to make sure we are engaging everyone,” said Jeff Dean, Google Senior Fellow. “We want to use our resources and our expertise to educate and train children and families to be prepared for a high-tech future.”

The Curiosity Machine AI Family Challenge is live now and explanatory videos and supporting educational materials are available at Iridescent’s online platform. Moreover, the two-to-three year global initiative will expand in February at the Association for the Advancement of Artificial Intelligence Conference, with a workshop to engage AI researchers in developing curriculum. The online portal reaches about 1 million students, parents and educators annually.

Iridescent is a science, engineering, and technology education nonprofit organization that empowers underrepresented young people to become self-motivated learners, inventors, and leaders. Founded in 2006 by CEO Tara Chklovski, Iridescent has engaged more than 100,000 children, parents, mentors, and educators across 100+ countries in its two global programs: Technovation, the world’s largest global tech entrepreneurship program for girls, and Curiosity Machine, a unique, family engineering program. Iridescent has proudly trained more than,7000 engineers and scientists to develop design challenges and/or mentor students and families. In recognition of its pioneering work for collective impact in underserved communities, Iridescent received the prestigious 2015 Excellence in Mentoring award, a US2020 White House Initiative.

Media Contact
David Lieberson
Finn Partners
212-593-5894
David.lieberson@finnpartners.com

 

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SOURCE Iridescent

SparkCognition receives federal award from the Department of Energy

AUSTIN, Texas, Dec. 20, 2017 /PRNewswire/ — SparkCognition was selected by the Department of Energy’s (DOE) Office of Fossil Energy (FE) to receive an award with a total value of $706,738 to improve the efficiency and reliability of coal fired power plants by deploying its state-of-the-art artificial intelligence (AI) solutions.

 (PRNewsfoto/SparkCognition)

Recognized as a 2017 Red Herring Top 100 Global awardee and recently named the Fastest Growing Company in Central Texas by the Austin Business Journal, SparkCognition has established itself as an AI leader by offering business-critical solutions for a variety of industries.

“SparkCognition’s rapid growth is allowing the company to explore new areas of business where our AI-focused solutions can be implemented,” said Stuart Gillen, Senior Director of Business Development for Customer Success & Partnerships at SparkCognition. “We are proud to receive DOE funding to work on enhancing our nation’s existing power generation infrastructure, and improve how coal-fired power plants operate.”

Through the selection made from DOE Funding Opportunity Announcement DE-FOA-0001686, Innovative Technology Development to Enable and Enhance Highly Efficient Power Systems, SparkCognition seeks to significantly enhance productivity of coal-fired electric generating units and other industrial plants that utilize fossil fuels. SparkCognition’s funding falls under the FE’s Area of Interest 1: ImPOWER- Improvement to Coal Combustion Power Plants. The company will apply AI technologies to enhance the efficiency, availability, and reliability of coal-fired power plants.

SparkCognition’s FE-funded project will join the DOE’s Crosscutting Technology Research Program, a research & development program that serves as a connecting point between early-stage concepts and real-world applications, and will be managed by the FE”s National Energy Technology Laboratory (NETL).  

The company’s AI technology will predict asset failure of critical industrial infrastructure using its AI algorithms as well as real-time sensor and operational data. Its cognitive analytics platform will also provide the DOE with insight on fault detections and further optimize their power plant operations.

About SparkCognition
A highly-awarded company recognized for cutting-edge artificial intelligence technology, SparkCognition offers business-critical solutions for enterprise customers in energy, oil and gas, manufacturing, finance, aerospace, telecommunications, defense, and security. For more information on the company, its technology and team, please visit http://www.sparkcognition.com.

For Media Inquiries:
John King
SparkCognition
jking@sparkcognition.com 
512-956-5491

 

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SOURCE SparkCognition

Gridsum Launches AI-Driven Intelligent CRM Solution

BEIJING, Dec. 20, 2017 /PRNewswire/ — Gridsum Holding Inc. (“Gridsum” or the “Company”) (NASDAQ: GSUM), a leading provider of cloud-based big-data analytics and enterprise focused artificial intelligence (“AI”) solutions in China, today announced that it has launched its AI-driven, Software as a Service (“SaaS”), Intelligent CRM Solution for the China market.

The Intelligent CRM Solution is a cloud-based, marketing-centric CRM solution tailor-made for both multinational and local companies operating in China. The solution leverages Gridsum’s expertise in big data analytics and AI, combining Gridsum’s “best of breed” marketing technology with leading sales intelligence technologies spanning multiple customer devices and integrating with key social networking platforms. The solution will also leverage Blockchain technologies in a number of specific areas going forward. It sets Gridsum apart from its competitors in a China SaaS CRM market expected to grow from an estimated RMB5.59 billion (US$0.85 billion) in 2017 to an estimated RMB15.1 billion (US$2.28 billion) by 2020[1], representing a CAGR of 39.3%.

Mr. Guosheng Qi, Chief Executive Officer of Gridsum, commented, “We are excited to launch our Intelligent CRM Solution after substantial research, development and real world operation. As the number of online and offline points of contact with consumers multiply, it has become infinitely more difficult for companies to identify and win potential customers in the most efficient manner. As Chinese consumers increasingly embrace ‘new retail’, our solution will help our clients to automate and, through machine learning, efficiently acquire, develop and manage both potential and existing customers through a variety of activities. By converging a client’s business intelligence data with Gridsum Prophet and our marketing automation suite, we will be able to substantially drive sales efficiency with significant, immediate and quantifiable KPI enhancement for our clients. The market opportunity in China for marketing-centric CRM solutions is huge given the proliferation of mobile devices, the deep penetration that social media networks have, and the emergence of a new era of retail. The development of this product is another step in our strategy to leverage our core platform and capabilities into other areas of our clients’ organizations, and to cross-sell and upsell our existing products and services to create greater value for clients.”

Leveraging Gridsum’s core competency and competitive advantages in big data analytics and AI, the Company combined cutting edge marketing and sales intelligence technology to create a CRM solution that specifically caters to enterprises operating in China. Both multinational companies and leading local companies in China have tended to use process-centric, system-heavy, legacy on-premises CRM systems that focus on tracking historical client contacts rather than leveraging advanced cloud-based solutions that are marketing-centric and focus on driving sales. This creates a substantial market opportunity for Gridsum which has already begun to cross-market and upsell the solution to its impressive existing portfolio of marketing automation and other clients.

Gridsum’s Intelligent CRM Solution allows its clients to leverage both online and offline data derived from their digital marketing and sales divisions and customers’ digital footprints, to drive sales and close orders in a more efficient and KPI-enhancing manner. The solution leverages Gridsum’s AI Engine, the “Gridsum Prophet”, and its marketing automation suite, as well as Gridsum’s deep experience in seamlessly interfacing its marketing automation suite with its clients’ sales infrastructure and systems, to create a ground breaking and tailor-made marketing-centric CRM solution for the China market.

Gridsum’s Intelligent CRM solution will allow clients to automate and increase sales efficiency across their entire businesses by marketing to individual customers rather than broader demographics. The solution is designed and optimized as a powerful and complete standalone CRM solution. It also has advanced “plug and play” dynamics allowing it to seamlessly integrate with a client’s legacy systems where necessary. With machine learning, Gridsum’s clients will be able to automate the identification, prioritization and “valuation” of promising leads and relationships and sort through massive amounts of data related to multiple areas of their business – from marketing and sales, to loyalty programs, e-commerce, promotions, and more – to easily track customers throughout the different stages of the customer lifecycle. By seamlessly integrating multiple social platforms, Gridsum clients will also be able to create a “social map” of their customers’ professional and social networks, matching this to their own organizations, to further drive the sales process.

Additionally, Gridsum’s Intelligent CRM Solution will increasingly leverage key Blockchain technology features going forward to: accelerate and automate the often cumbersome contractual processes associated with sales and customer support; facilitate customer loyalty program modules built into the solution; support our clients’ ecommerce; and integrate over the longer term into corporate ERP systems to effectively turn the supply chain into a “demand chain” profit center. This distinguishes Gridsum as an early mover and pioneer in this area in the China market. The company expects these features to grow in importance as the use of blockchain technology becomes more widespread in the China market and globally.

About Gridsum 

Gridsum Holding Inc. (NASDAQ: GSUM), is a leading provider of cloud-based big-data analytics and AI solutions for multinational and domestic enterprises and government agencies in China. Gridsum’s core technology, the Gridsum Big Data Platform, is built on a distributed computing framework and performs real-time multi-dimensional correlation analysis of both structured and unstructured data. This enables Gridsum’s customers to identify complex relationships within their data and gain new insights that help them make better business decisions. The Company is named “Gridsum” to symbolize the combination of distributed computing (Grid) and analytics (sum). As a digital intelligence pioneer, the Company’s mission is to help enterprises and government organizations in China use data in new and powerful ways to make better informed decisions and be more productive.

Safe Harbor Statement

This announcement contains forward-looking statements. These forward-looking statements are made under the “safe harbor” provisions of the U.S. Private Securities Litigation Reform Act of 1995. These statements can be identified by terminology such as “may,” “will,” “expects,” “anticipates,” “aims,” “future,” “intends,” “plans,” “believes,” “estimates,” “likely to” and similar statements. Among other things, quotations from management in this announcement, statements in this announcement about the capabilities of Gridsum’s Intelligent CRM Solution, and about the China SaaS CRM addressable market are forward-looking statements,  as well as Gridsum’s strategic and operational plans contain forward-looking statements. Gridsum may also make written or oral forward-looking statements in its reports filed with, or furnished to, the U.S. Securities and Exchange Commission, in its annual reports to shareholders, in press releases and other written materials and in oral statements made by its officers, directors or employees to third parties. Statements that are not historical facts, including statements about Gridsum’s beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statement, including but not limited to the following: unexpected difficulties in Gridsum’s pursuit of its goals and strategies; the unexpected developments, including slow growth, in the digital intelligence market; reduced demand for, and market acceptance of, Gridsum’s solutions; difficulties keeping and strengthening relationships with customers; potentially costly research and development activities; competitions in the digital intelligence market; PRC governmental policies relating to media, software, big data, the internet, internet content providers and online advertising; and general economic and business conditions in the regions where Gridsum provides solutions and services. Further information regarding these and other risks is included in Gridsum’s reports filed with, or furnished to, the Securities and Exchange Commission. All information provided in this press release is as of the date of this press release, and Gridsum undertakes no duty to update such information except as required under applicable law.

For more information, please visit http://www.gridsum.com/.

[1] According to data from Analysys, a leading China research company.
Source: https://www.analysys.cn/analysis/trade/detail/1000275/ 
The original source RMB data was converted to USD at the rate of RMB6.6088 to US$1.00.

Investor Relations

Gridsum 
ir@gridsum.com

Christensen

In China 
Mr. Christian Arnell 
Phone: +86-10-5900-1548 
Email: carnell@christensenir.com 

In U.S. 
Mr. Tip Fleming 
Phone: +1 917 412 3333 
Email: tfleming@christensenir.com

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SOURCE Gridsum Holding Inc.

FEV ADAS Annotation Tool enhances development of smart vehicle systems

AUBURN HILLS, Mich., Dec. 20, 2017 /PRNewswire/ — With the target of assisting its customers in meeting SAE Level 5 Autonomous Driving standards, FEV continues to refine its technologies with the goal of providing a comprehensive suite of tested products that can be easily integrated into the next smart vehicle. The latest example to make development easier is its Advanced Driver Assistance Systems (ADAS) Annotation Tool, which will be demonstrated in the FEV Hospitality Suite at the Bellagio Hotel in Las Vegas during the upcoming Consumer Electronics Show (CES) 2018.

Using a proprietary tool chain, FEV’s ADAS Annotation Tool processes data that has been manually identified, or labeled, through use of a movie. The information would then be continually fed into a vehicle’s Deep Neural Network (DNN), which “learns” to assign a label to certain objects, vehicles, pedestrians, sign, et.al., via an auto-classifier. As the Annotation Tool database grows, so does the “knowledge” of the DNN, and its ability to identify, through the auto-classifier, an increasing number of labels. This provides autonomous vehicle software developers with a cost effective, and time saving tool, since fewer man-hours are required to build the label database.

Labeling is critical to smart vehicle development; therefore, FEV has created a proprietary labeling tool that contains a predefined label collection, including objects typically located on streets like traffic signs, pedestrians, other vehicles, etc. It provides auto-tracking of marked labels, and auto-labeling, looking toward Artificial Intelligence (AI) as a part of the future of automated driving.

The Annotation Tool supports deep learning of neural networks by integrating the movies’ database. Using high-powered PCs for deep learning, it also includes NVidia GPU acceleration. It benchmarks neural networks on demand on selected movies, and collects corresponding statistics.

Like many FEV-developed tools, the Annotation Tool is user-friendly, using a neural network tool chain that is compatible with NVidia GPU acceleration. It is Windows and Linux compatible, and its open architecture allows for further development. 

About FEV Group
The FEV Group is an internationally recognized powertrain and vehicle engineering company that supports the global transportation industry.  FEV offers a complete range of engineering services, providing support across the globe to customers in the design, analysis, prototyping, powertrain and transmission development, as well as vehicle integration, calibration and homologation for advanced internal combustion gasoline-, diesel-, and alternative-fueled powertrains. FEV also designs, develops and prototypes advanced vehicle / powertrain electronic control systems and hybrid-electric engine concepts that address future emission and fuel economy standards.  The company has expanded its engineering capabilities to include full vehicle systems and now offers broad expertise in electronics, E-Mobility, and Smart Vehicle (infotainment, telematics, ADAS, and Autonomous Driving) engineering. The FEV Testing Solutions division is a global supplier of advanced test cell, instrumentation and test equipment.  The FEV Group employs a staff of over 4,700 highly skilled specialists at advanced technical centers on three continents.  FEV North America, Inc. employs over 450 personnel in its North American Technical Center in Auburn Hills, MI. For more information, visit www.fev.com

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SOURCE FEV North America, Inc.

Quick and Accurate Insight Into Technology That Relates to Your Charter of Serving Workers Well

DUBLIN, Dec. 20, 2017 /PRNewswire/ —

The “Digital Economy: Technology Service to Unions” report from Wintergreen Research, Inc has been added to Research and Markets’ offering.

Research and Markets Logo

Digital Economy: Technology Service to Unions is a way for union leaders to get quick and accurate insight into technology that relates to their charter of serving workers well. The technology information services provide immediate answers to questions, with the answers providing key insight about the details of the technology and the relevance to a particular issue.

The service also addresses ways to create jobs and support innovation with skills training at union headquarters to address teamwork for raising skills in an entire group of local union members. By concentrating on skills, the union would be one of supporting worker mobility. Because the union members are the most skilled at what they do, the benefit of grouping together in the union would be to achieve share expertise and shared values that the employers need.

This is in the tradition of the union movement, but changes the positioning a little and may be more attractive to workers who need representation in various work capacities relating to robots, artificial intelligence, and new materials.

From the analyst:

In an era when skills have come to be valued, when retraining is a necessity, and when robots threaten to replace most manual labor, I suggest that the unions embrace robots and learn how to create skilled workforces that perform jobs that are relevant to the modern industrial culture. I suggest that the task of the union is not just to find work or the worker, but to create investments and savings for the same workers, create money management capability with benefit that flows to every worker in the union, local union or national union.

Key Topics:

  • Technology Service to Unions
  • Digital Economy
  • Innovation
  • Self-Driving Cars
  • LiDAR
  • Bio-Materials
  • Nanotechnology
  • Robots
  • Artificial Intellience (AI)
  • Mega Data Centers
  • Watson Data Platform
  • 400G Optical Transceivers
  • 400G Transmitter/Transceivers
  • Mega Datacenter
  • Online Commerce
  • Streaming Video
  • Social Networking
  • Cloud Services
  • Scalable Infrastructure
  • IoT Internet of Things

Key Topics Covered:

1 Technology Service for Unions: Unions Finding Members and Organizing in the Digital Economy
1.1 Unions Are Tasked with Negotiating for Groups of Workers as Robots Steal All the Existing Jobs
1.2 Drone Delivery, Self-Driving Cars, And Robots
1.3 As Jobs Change, The Union Mission Will Change

2 Stock Market Provides Way to Invest in Capitalistic Society

3 Examples of Jobs That Evolve

4 Robotics Companies Will Become Big

5 Union Change
5.1 Digital Economy Consists of The Internet of Things, Robots, Drones, Artificial Intelligence, And Smart Devices
5.2 IoT Monitoring Task
5.3 MEMs Sensor Applications
5.4 The Publisher Has a Lot Of Studies In Print Relevant To Union Need To Understand The Digital Economy
5.5 Lidar Summary Example
5.6 LIDAR Stands For Light Detection And Remote Sensing

6 Deliverables
6.1 Cost
6.2 Project Team Approach
6.3 Time and Length

For more information about this report visit https://www.researchandmarkets.com/research/h478b8/quick_and?w=5

Media Contact:

Laura Wood, Senior Manager
press@researchandmarkets.com  

For E.S.T Office Hours Call +1-917-300-0470
For U.S./CAN Toll Free Call +1-800-526-8630
For GMT Office Hours Call +353-1-416-8900

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SOURCE Research and Markets

Better Use of Data, Demonstrating Value of Pharmaceuticals, Opioid Concerns Lead SCIO Health Analytics’ Predictions in 2018

WEST HARTFORD, Conn., Dec. 20, 2017 /PRNewswire/ — The focus for healthcare in 2018 will be on fulfilling the promise of current technology advancements rather than breaking new ground, according to experts at SCIO Health Analytics in predictions released today. The company, which offers next-generation analytics that help healthcare payers, providers, and life sciences organizations improve outcomes, lower costs, and drive value, expects that organizations in these markets will look to reap strong returns on technology investments they have already made rather than breaking new ground in 2018.

Serving over 80 healthcare organizations including 20 provider groups and 30 health plans representing more than 90 million members, four of the top six PBMs, and clients in 30 countries for eight of the top 15 global pharmaceutical companies. SCIO’s mission is to drive positive change in healthcare by delivering actionable insights to solve complicated problems simply and efficiently.

“Technologies such as artificial intelligence and blockchain are interesting, but they require more development before they can be applied operationally in a meaningful way,” said Rose Higgins, president, North America of SCIO Health Analytics. “In the meantime, there is still much work to be done to realize the full value of the technologies that organizations have already implemented. We expect 2018 to be a year of retrenchment and digging deeper in areas such as advanced data analytics that will set healthcare organizations on a stronger path going forward.”

The company offered predictions in several areas.

More and better use of more data

SCIO predicts that healthcare organizations will expand their use of data beyond traditional clinical, claims, and financial data to harness more demographic, behavioral, and other types of data from disparate sources. Rather than only looking at what happened, healthcare organizations will want to understand how they can influence behaviors of patients, providers, and others more effectively. Two aspects that will be critical to this focus on prescriptive analytics are natural language processing (NLP) and machine learning.

“Improvements in NLP will give healthcare organizations access to a level of data and insights that were previously hidden,” Higgins said. “Machine learning will make it easier to spot the trends and patterns that all of that combined data reveals. The result is organizations will be able to be far more prescriptive in their approach, testing hypotheses and making decisions that can drive real behavioral change, which has always been one of the greatest challenges they’ve faced. The greatest programs in the world only have value if they are followed.”

While the focus of the last few years has been on Big Data, SCIO believes the industry is shifting toward an elevated view of “little data,” i.e., being more precise in the interpretation of data which enables it to be applied on more of an individual basis. According to SCIO, each data set has particular value in utilization, and taking advantage of data layering to enhance the outputs will be critical. These types of analytics are highly valuable in spotting the outliers and trends that are easy to miss in a more macro-focused program. The breadth of data, combined with greater precision, will enable healthcare organizations to gain better insights and guidance on the new programs (and changes to existing programs) that will make them most effective.

SCIO believes healthcare organizations will also seek a greater understanding of social determinants for behavior that must be gleaned from sources outside of healthcare. By using data to learn the “why” behind particular behaviors, healthcare organizations will be positioned to drive better outcomes throughout the system.

To answer these requirements for a broader swath of data, SCIO expects data availability and transparency to be a top priority within the industry.

“Everything in healthcare is interconnected,” Higgins said. “Insights need to be more portable and transparent if they’re going to have the desired effect.”

That said, there are still many barriers, especially with sharing clinical data.

“While organizations throughout the continuum have managed to find workarounds, there is still a need to make it easier and more convenient,” Higgins added.  “The longer it takes, the more it will hold back other advancements.”

Of course, with the Equifax data breach and the hacking of the National Security Agency continuing to permeate the news, cybersecurity is certain to be a top priority for all sectors of healthcare. Protected health information has long been demonstrated to have far greater value than credit card or other types of data. As more healthcare organizations move data and analytics to the cloud, they will pay even closer attention in 2018 to all things cybersecurity.

Increased payer/provider/life sciences collaboration

As payers shift more risk to providers and life sciences organizations, collaboration is critical. Despite expected reductions in payments from the Centers for Medicare and Medicaid Services (CMS) for alternative payment models as a result of tax reform, SCIO believes the healthcare industry as a whole is still committed to moving forward with value-based care. In addition, the focus on outcomes will drive life sciences organizations to use analytics to demonstrate the efficacy of their treatments and work more closely with payers to ensure that information reaches prescribers and members.  

Analytics will also be used more widely to enable payers to develop detailed profiles of provider performance. They can then use this information to recognize and reward high-performing providers through programs such as “gold carding,” i.e., pre-authorizing providers for more procedures based on their history of delivering quality outcomes. At the same time, the analytics will identify variations in provider behaviors that need to be addressed. By sharing this information in a collaborative atmosphere, payers will help raise the overall standard of care while reducing costs and increasing patient/member satisfaction. 

Renewed focus on addressing opioid abuse

The opioid abuse epidemic is a top-of-mind issue for many Americans, including President Trump. Analytics that can help uncover patterns of fraud, waste, and abuse of opioids among providers and patients will be in high demand. The question then will be what to do once they are discovered – especially on the patient side given that programs offering support and treatment for opioid abuse could face serious cutbacks or even elimination.

“The key to reducing opioid abuse in the long-term is by matching patients/members to treatments that have proven effective in others who share similar characteristics and behaviors,” Higgins said. “By monitoring the quality and cost of different treatments, and using analytics to match patients/members to new therapies that may help them deal with their specific circumstances better, we can begin to turn the tide. If we extend this to gain insights on how comorbidities such as mental health disorders affect engagement, behaviors, and costs, we can develop treatment strategies that further drive down risks while improving outcomes.”  

Addressing the high cost of pharmaceuticals

This has been another topic of national discussion, and one many believe is critical to reducing the skyrocketing cost of healthcare in America. Roughly $457 billion was spent on prescription drugs in 2015, which represents 16.7 percent of spending overall on personal healthcare services according to HHS’ Office of the Assistant Secretary for Planning and Evaluation (ASPE).  

In 2018, SCIO expects that life sciences organizations will be held more accountable for proving the impact their drugs and devices have on improving outcomes for patients and populations, including sharing in the risk around those treatments. As part of this effort, they will need to demonstrate how they can help drive compliance and adherence rather than supplying the products and walking away. This mindset will become even more important for high-cost, high-impact specialty drugs. SCIO believes the industry will begin to test the thesis of outcomes-based contracting between Life Sciences and Health Plans and this will be phased over time from claims data to metrics on the health status of the patient.

Value-based care here to stay

Although there may be some uncertainty around the specifics, particularly in the current political climate, SCIO is confident in predicting that the move to value-based care that is already under way will continue. The ongoing shifting of risk from payers to providers and life sciences organizations is already accelerating. The need to think in terms of populations rather than individuals is given additional urgency by the growth of the Medicare Advantage population, where keeping patients/members healthier in the aggregate is critical to controlling costs.

“That ship has sailed,” says Higgins. “Even if HHS pulls back or delays some of its requirements, commercial payers are still focused on implementing value-based strategies. They recognize the importance of delivering high-quality care while reducing costs, and the need for transparency. They also recognize it’s the right thing to do.”

About SCIO Health Analytics

Based in West Hartford, Connecticut, SCIO Health Analytics is a leading health analytics solution and services company serving healthcare organizations across the continuum including provider groups, health plans, PBMs, health services and global life sciences companies.

SCIO provides predictive analytic solutions and services that transform data into actionable insights, helping healthcare organizations create the understanding that drives change through care, network and reimbursement optimization as well as commercial effectiveness. SCIO’s insights as a service approach supports the shift to value-based care, solving healthcare problems simply and efficiently. Visit SCIO’s website for up to date information on their product and solution offerings: www.sciohealthanalytics.com

Media Contact:

SCIO Contact:

Brandon Glenn

Michele Norton, M.S., R.N.

Amendola Communications

Senior Vice President Marketing

(216) 233-4357

(727) 815-7710 

bglenn@acmarketingpr.com 

mnorton@sciohealthanalytics.com

 

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SOURCE SCIO Health Analytics

Strategy Analytics: 10 Trends for Creating Compelling User Experiences in 2018

BOSTON, Dec. 20, 2017 /PRNewswire/ — 2017 was the year that bought machine learning, artificial intelligence and alternative human-machine interfaces into the fore, greatly impacting the user experience of many devices. But what will be the major innovations in 2018? A recent insight from the User Experience Innovation Practice (UXIP) at Strategy Analytics “10 Trends for Creating Compelling User Experiences in 2018“, has offered 10 predictions for 2018 on how innovations in technology that will most substantially impact the user experience over the coming year.

Strategy Analytics.

Click here for the report: https://www.strategyanalytics.com/access-services/ux-innovation/user-experience-strategies/reports/report-detail/ux-innovation-practice-10-trends-for-creating-compelling-user-experiences-in-2018

Key report findings:

  • In-vehicle smartphone mirroring, streaming media, embedded navigation, and HMI design meet at a crossroads.
  • Fingerprint scanners underneath the display of a smartphone will emerge.
  • Solutions with more compelling content aimed at the mainstream will reinvigorate the high-end VR market.
  • Conversational User Interfaces – including chat bots – will emerge strongly in 2018, providing a more engaging user experience.

Paul Brown, Director, UXIP and report author commented, “The key to successful product and experience planning within the technology environment will hinge upon the definition of compelling use cases. Understanding how devices are connected with each other and how they are used in context will be the key to defining the next generation of experiences that will drive greater adoption, usage and customer satisfaction.”

Kevin Nolan, VP, UXIP, added, “Simplifying and enriching the user experience through adaptive intelligence and context awareness will be the key to winning the battle for the customer.”

About Strategy Analytics

Strategy Analytics, Inc. provides the competitive edge with advisory services, consulting and actionable market intelligence for emerging technology, mobile and wireless, digital consumer and automotive electronics companies. With offices in North America, Europe and Asia, Strategy Analytics delivers insights for enterprise success. www.StrategyAnalytics.com.

About User Experience Innovation Practice (UXIP)

The User Experience Innovation Practice (UXIP) at Strategy Analytics focuses on user behaviors, motivations and interests across multiple consumer verticals including in-vehicle, in the home and whilst mobile. Consisting of the In-vehicle User Experience (IVX) group and User Experience Strategies (UXS) group, UXIP helps clients meet consumer needs, develop usable solutions and deliver compelling user experiences through both syndicated and proprietary research capabilities. With our extensive expertise in large-scale survey work, in-depth interviews, focus groups and observational sessions, UXIP’s research methodologies allow strategic user-centric analysis on the potential for new technologies. Providing actionable insight, go-to-market strategies and business recommendations, UXIP is a leading supplier of consumer knowledge to the technology industry. Click here for more information.

Press Contacts

US Contact: Paul Brown, +1 617 614 0723, pbrown@strategyanalytics.com

European Contact: Diane O’Neill, +44(0) 1908 423 669, doneill@strategyanalytics.com

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SOURCE Strategy Analytics

Agent Vi Collaborates With AWS to Enable Any Surveillance Camera to Become a Smart Camera

TEL AVIV, Israel, December 20, 2017 /PRNewswire/ —

Agent Video Intelligence (Agent Vi), a leading global provider of video analytics solutions, announced that its innoVi cloud-based video analytics Software as a Service (SaaS) is integrated with Amazon Kinesis Video Streams, AWS’s newly-launched service to capture, process, and store video streams for analytics and machine learning. Together, the solution will enable any surveillance camera to become “smart” within seconds.

Officially announced at AWS re:Invent 2017 on November 29, Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, machine learning, and other processing. Agent Vi’s innoVi is the first fully cloud-based video analytics SaaS integrated with Amazon Kinesis Video Streams, allowing the camera owner to add smart security analytics functionalities that can automatically detect and alert to events of interest.

The integration of Agent Vi’s innoVi with Amazon Kinesis Video Streams brings a first of its kind end-to-end SaaS solution that is applicable to any IP camera, regardless of brand, and that does not require installation of any dedicated hardware or software.

innoVi is Agent Vi’s cloud-based, innovative video analytics Software as a Service (SaaS) that offers capabilities ranging from detection of security and safety incidents in real-time to expedited investigations via automated video search, big data applications, and more. The video analytics performance and accuracy are of the highest level, implemented with advanced AI and Deep Learning technology.

“The collaboration between Agent Vi and AWS brings a truly disruptive service to the market, that leverages advanced cloud and Artificial Intelligence (AI) technologies to make any camera, of any brand, and from any location, seamlessly smart within seconds,” commented Itsik Kattan, CEO of Agent Vi. “We are honored to have been selected by AWS as one of the first companies to integrate with Amazon Kinesis Video Streams,” added Kattan.

About Agent Vi: 

Agent Video Intelligence (Agent Vi) is a leading global provider of open architecture, video analytics solutions. Agent Vi’s comprehensive video analytics offering includes software products for on-premise installations as well as cloud-based SaaS, with capabilities ranging from real-time video analysis and alerts to video search and business intelligence applications. Solutions are fully integrated with 3rd party cameras, encoders, VMSs and alarm automation software.

Contact
Roni Kresner
r.kresner@agentvi.com
+972-72-220-1500

SOURCE Agent Video Intelligence

SPLICE Software Shortlisted for 2017-18 Cloud Awards Program

CHICAGO, Dec. 20, 2017 /PRNewswire/ — SPLICE Software is a finalist in the 2017-2018 Cloud Awards Program in the categories of Best SaaS (non-U.S.) and CRM Solution of the Year.

SPLICE Software

The Cloud Computing Awards program celebrates excellence and innovation in the rapid-growth cloud computing market. The awarding body accepts applications worldwide, covering the US, Canada, Australasia and EMEA. Organizations of any size are accepted for consideration in the program, including those from governmental bodies, start-ups and established multinationals.

In 2017-18, categories include “Best in Mobile” Cloud Solution, Best Software as a Service, Most Innovative Use of Data and Most Promising Start-Up.

Tara Kelly, President and CEO, said: “For SPLICE, being shortlisted in the Cloud Awards in the categories of CRM Solution of the Year and Best SaaS based outside of the United States is clear recognition of our team’s hard work and dedication to excellence and innovation.”

Cloud Awards organizer Larry Johnson said: “Again, we have seen an overwhelming level of engagement from organizations of all sizes, each showing their commitment to cloud-based technologies and leveraging them in their own unique way.

“A clear pattern has emerged, and that is that the global technology community is not playing catch-up to the US when addressing cloud innovation.

“We have seen new levels of excellence in the submissions reviewed, and the judges have had great difficulty in categorizing those applications which should move further in the process. Indeed, virtually all of the entries scrutinized would be worthy of a place on the shortlist.

“It is clear that while the SaaS category remains as hotly-contested as ever, a new breed of competition for excellence is emerging worldwide, making the non-US SaaS submissions more relevant than ever. For those who did not make this year’s Cloud Awards shortlist, remember that the Cloud Awards sister program – the SaaS Awards – returns in the spring, to put a laser focus on innovation in software.

“We can only wait until 2018 to see which organizations emerge as final Cloud Award winners in their chosen category.”

Over 300 organizations entered, with entries coming from across the globe, covering the Americas, Australia, Europe and the Middle East. You can view the full shortlist here: https://www.cloud-awards.com/2018-shortlist.

Final winners will be announced on Tuesday 30 January 2018.

The Cloud Awards (https://www.cloud-awards.com/cloud-computing-awards/) will return with a new program in late 2018 to continue its recognition of excellence in cloud computing.

The Software as a Service Awards (https://www.cloud-awards.com/software-as-a-service-awards/), judged in the spring, is currently accepting entries for its Spring 2018 program.

Contact details

For SPLICE Software
Kate Weckerly, PR
719-581-7102
kweckerly@sspr.com

For the Cloud Awards
James Williams – marketing
www.cloud-awards.com
james@cloud-awards.com

About the Cloud Awards

The Cloud Awards is an international program which has been recognizing and honoring industry leaders, innovators and organizational transformation in cloud computing. The awards are open to large, small, established and start-up organizations from across the entire globe, with an aim to find and celebrate the pioneers who will shape the future of the Cloud as we move into 2018 and beyond. Categories include Most Promising Start-Up, Best SaaS, and “Best in Mobile” Cloud Solution. Finalists were selected by a judging panel of international industry experts. For more information about the Cloud Awards please visit http://www.cloud-awards.com/.

About SPLICE Software

SPLICE Software blends art & science in creating stronger connections and improving the customer experience for insurers, bankers, and retailers. Our cloud-based Dialog Suite™ uses Big Data & Artificial Intelligence to deliver personalized Voice & SMS messages at critical moments along the customer journey; allows you to connect with customers via their channels of choice; and, enables you to collect and manage customers’ permissions and preferences so you can personalize, test and measure like never before. For more information on SPLICE, visit our website, connect via LinkedIn or follow us on Twitter at @SPLICESoftware.

SPLICE Software helps users create strong connections and continuously improve the customer experience by delivering personalized messages to customers via the channels they choose. Learn more at www.splicesoftware.com.

 

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SOURCE SPLICE Software