The AI in construction market is projected to grow at a CAGR of 35.1%

NEW YORK, May 31, 2018 /PRNewswire/ —

The AI in construction market is projected to grow at a CAGR of 35.1% during the forecast period

Read the full report:

MarketsandMarkets expects the global Artificial Intelligence (AI) in construction market to grow from USD 407.2 million in 2018 to USD 1,831.0 million by 2023, at a Compound Annual Growth Rate (CAGR) of 35.1% during the forecast period. The rising demand for AI-based solutions and platforms, the need for more safety measures at construction sites, and the capability of AI in construction solutions and services for reducing the production costs are expected to drive the growth of the AI in construction market. Few investments made in technological Research and Development (R&D) is expected to act as the major restraint for the market growth.

The cloud deployment type is expected to have the larger market share during the forecast period
In the AI in construction market, the cloud deployment type offers multiple benefits, such as reduced operational and maintenance costs, fewer complexities, and more scalability.AI in construction solution providers are focusing on deploying robust cloud-based solutions for their clients, as many organizations have started adopting the cloud-based deployment type.

Additionally, the cloud deployment type is user-friendly, cost-effective, and easy to access. However, at present, many construction companies are still opting for on-premises-based AI in construction solutions.

Among technologies, the machine learning and deep learning segment is expected to have the larger market size during the forecast period
The AI in construction market by technology has been segmented into machine learning and deep learning; and Natural Language Processing (NLP). Among these technologies, the machine learning and deep learning segment is expected to have the larger market size.
The machine learning and deep learning technology offers the most robust methodology to tap into the area of context that involves human-computer interactions and provides close predictions based on the historical data. This technology is useful in the construction industry in terms of automating business functions.

North America is expected to have the largest market size in the AI in construction market during the forecast period
Among regions, North America is expected to have the largest market size in the AI in construction market during the forecast period.The North American region has always stayed ahead in technological adoption and is a hub for many technically advanced construction companies.

These companies have made huge investments in the AI in construction market, and several vendors have evolved to cater to the rapidly growing market.Considerable growth in the market size is expected in the region during the forecast period.

The major initiatives taken for the growth of the AI in construction market belong to this region. Organizations in this region make the best use of technologies to eliminate the hassles in time-consuming tasks and ease their functioning and decision-making capabilities.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the AI in construction market to arrive at the AI in construction market size.
• By Company Type: Tier 1: 35%, Tier 2: 39%, and Tier 3: 26%
• By Designation: C-Level: 55%, Director Level: 40%, Others: 5%
• By Region: North America: 38%, Europe: 40%, APAC: 21%, and Rest of the World (RoW): 1%

The report includes the study of the key players offering AI in construction solutions and services. IBM (US), Microsoft (US), Oracle (US), SAP (Germany), Alice Technologies (US), eSUB (US), (US), Aurora Computer Services (England), Autodesk (US), and Building System Planning (US) have been profiled in the report. The report includes an in-depth competitive analysis of these key AI in construction market players, along with their company profiles that include business overviews, product offerings, recent developments, and market strategies.

Research Coverage
The AI in construction market has been segmented on the basis of technologies, stages, components (solutions and services), applications, deployment types, organization size, industry types, and regions.The solutions segment includes design and planning, revenue estimation, virtual assistant, demand forecasting, predictive maintenance, and others (root cause analysis and customer/buyer analysis), whereas the services segment comprises integration and deployment, training and consulting, and support and maintenance.

The deployment types covered in this report are cloud and on-premises.The organization size includes Small and Medium-sized Enterprises (SMEs) and large enterprises.

The application segment covers project management, field management, risk management, schedule management, supply chain management, and others (equipment and construction materials management, resource management, subcontractor management, and cost management).The industry types include residential, institutional commercials, heavy construction, and others (light industrial construction and specialized industrial construction).

Finally, on the basis of regions, the AI in construction market has been segmented into North America, Europe, Asia Pacific (APAC), and Middle East and Africa (MEA.

The report would help market leaders and new entrants in the AI in construction market in the following ways:
1. The report segments the market into various subsegments, hence it covers the market comprehensively. The report provides the closest approximation of revenue numbers for the overall market and its subsegments. The market numbers are further split across various industry types and regions.
2. The report helps in understanding the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.
3. The report helps in understanding the competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

Read the full report:

About Reportlinker
ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.

Contact Clare:
US: (339)-368-6001
Intl: +1 339-368-6001

Cision View original content:

SOURCE Reportlinker

Artificial Intelligence to Reach a New Level With Infusion of Blockchain Technology Innovation

PALM BEACH, Florida, May 31, 2018 /PRNewswire/ — News Commentary 

As artificial intelligence (AI) technologies and platforms become integral to advanced operations in nearly every industry, blockchain is inserting itself as a means to enhance AI applications in both form and function. Blockchain has the potential to allow AI technologies to become more collaborative in nature and therefore increase their operating efficiency. Additionally, the potential for bolstered revenue streams is also apparent, as blockchain is projected to grow to $20 billion by 2024 according to Transparency Market Research and the Grand View Research projects the AI market will be worth more than $35 billion by 2025. As previously noted, leaders in the AI landscape are turning to blockchain to finetune various applications. Active tech companies in the markets this week include Gopher Protocol Inc. (OTC:GOPH), Inc. (NASDAQ:OSTK), Xunlei Limited (NASDAQ:XNET), Pareteum Corporation (NYSE:TEUM), NVIDIA Corporation (NASDAQ:NVDA).

Gopher Protocol Inc. (OTCQB:GOPH) BREAKING NEWS: Gopher Protocol, a company specializing in the creation of Internet of Things (IoT) and Artificial Intelligence enabled mobile technologies, formed a joint venture with the formation of a limited liability company, Gopher Protocol Costa Rica Sociedad De Responabilidad Limitada (“Gopher CR”), in Costa Rica with the Lara Group with both parties owning 50% of Gopher CR, which will be managed by Mauricio Lara Ramos, Esq. Gopher CR intends to invest and develop AI-BlockChain assets or businesses in Latin America with initial efforts focused on smart contracts.

“I am looking forward to working with Gopher and using their technological resources, intellectual property and financial backing to find new solutions for the underserved and under-banked markets of Latin America that represent an approximate market of 250 million people. The applications for blockchain solutions are unlimited and I look forward to combining local assets with the Gopher’s platform to potentially create new revenue streams for Gopher CR” stated Mr. Lara. Read this and more news for GOPH at

Other recent and current developments in the tech industry include: Inc. (NASDAQ:OSTK) finished Wednesday up 1.35% with a volume north of 1.3 million. The company also announced it has been selected to deliver a keynote address during the world’s largest Apache Spark event, the Spark + AI Summit taking place in San Francisco from June 4-6. Chris Robison, lead data scientist at Overstock, has been instrumental in building the leading artificial intelligence and machine learning technologies to achieve real-time personalization at Overstock. He will present on martech innovations in building a successful marketing technology infrastructure for instantaneous individualized marketing experiences. “I’m honored to showcase our team’s work at the Spark + AI Summit,” said Robison., “Our team is filled with some of the industry’s leading minds, focused on creating cutting-edge technology. What we have built, with tools like Databricks, brings millisecond speeds to personalization.” Robison is part of a keynote speaker lineup that features presenters from companies at the cutting-edge of technology.

Xunlei Limited (NASDAQ:XNET) recently announced it has launched StellarCloud and ThunderChain Open Platform to build a blockchain ecosystem in a product introduction ceremony held in Beijing on May 16, 2018. The StellarCloud is a shared cloud computing platform which will expand Xunlei’s existing Content Delivery Network (CDN) services to Infrastructure as a Service (IaaS). It also offers edge computing, function computing and shared CDN (SCDN) solutions. The StellarCloud is created to help companies in their transition to cloud, including content delivery, live streaming, data storage and artificial intelligence (AI). During the ceremony, iQIYI (Nasdaq: IQ), an innovative market-leading online entertainment service in China, entered into a strategic cooperation agreement with Xunlei with respect to the StellarCloud. The ThunderChain is a high-performance blockchain infrastructure that can concurrently process over a million transactions per second (TPS). Now with the ThunderChain Open Platform, third-party developers and companies, especially start-ups, can easily build, migrate and manage decentralized applications (DApps) with low operating costs.

Pareteum Corporation (NYSE:TEUM) recently announced an established Global Mobile Virtual Network Operator (MVNO) has chosen Pareteum’s Global Cloud Service Platform (GCSP), a single-source solution, to launch their new European-based MVNO. The 3-year agreement will add $8 million in revenue beginning end of 2018. The Global Enterprise customer will use Pareteum’s GCSP to expand their business and grow revenue from a new European based MVNO. Their 100 thousand existing customers will be moved to the Pareteum GCSP as soon as the project launch is complete, enabling the MVNO to offer more options for secure and reliable connectivity for voice, data and SMS. “Pareteum redefines the industry standard by coloring outside the lines. Marketing companies seek mastery and innovation when it comes to superior subscriber experience. Recognizing this need, Pareteum designed an Insight Engine that uses Predictive Analytics to allow marketing companies better management of subscribers and their experience, irrespective of network,” commented Vic Bozzo, Chief Executive Officer of Pareteum.

NVIDIA Corporation (NASDAQ:NVDA) recently announced NVIDIA HGX-2™, the first unified computing platform for both artificial intelligence and high-performance computing. The HGX-2 cloud server platform, with multi-precision computing capabilities, provides unique flexibility to support the future of computing. It allows high-precision calculations using FP64 and FP32 for scientific computing and simulations, while also enabling FP16 and Int8 for AI training and inference. This unprecedented versatility meets the requirements of the growing number of applications that combine HPC with AI. A number of leading computer makers today shared plans to bring to market systems based on the NVIDIA HGX-2 platform. “The world of computing has changed,” said Jensen Huang, founder and chief executive officer of NVIDIA, speaking at the GPU Technology Conference Taiwan, which kicked off today. “CPU scaling has slowed at a time when computing demand is skyrocketing. NVIDIA’s HGX-2 with Tensor Core GPUs gives the industry a powerful, versatile computing platform that fuses HPC and AI to solve the world’s grand challenges.”

DISCLAIMER: (MNU) is a third party publisher and news dissemination service provider, which disseminates electronic information through multiple online media channels.  MNU is NOT affiliated in any manner with any company mentioned herein.  MNU and its affiliated companies are a news dissemination solutions provider and are NOT a registered broker/dealer/analyst/adviser, holds no investment licenses and may NOT sell, offer to sell or offer to buy any security.  MNU’s market updates, news alerts and corporate profiles are NOT a solicitation or recommendation to buy, sell or hold securities.  The material in this release is intended to be strictly informational and is NEVER to be construed or interpreted as research material.  All readers are strongly urged to perform research and due diligence on their own and consult a licensed financial professional before considering any level of investing in stocks.  All material included herein is republished content and details which were previously disseminated by the companies mentioned in this release.  MNU is not liable for any investment decisions by its readers or subscribers.  Investors are cautioned that they may lose all or a portion of their investment when investing in stocks.  For current services performed MNU has been compensated twenty three hundred dollars for news coverage of the current press releases issued by Gopher Protocol Inc. by a non-affiliated third party.  MNU HOLDS NO SHARES OF ANY COMPANY NAMED IN THIS RELEASE.

This release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E the Securities Exchange Act of 1934, as amended and such forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. “Forward-looking statements” describe future expectations, plans, results, or strategies and are generally preceded by words such as “may”, “future”, “plan” or “planned”, “will” or “should”, “expected,” “anticipates”, “draft”, “eventually” or “projected”. You are cautioned that such statements are subject to a multitude of risks and uncertainties that could cause future circumstances, events, or results to differ materially from those projected in the forward-looking statements, including the risks that actual results may differ materially from those projected in the forward-looking statements as a result of various factors, and other risks identified in a company’s annual report on Form 10-K or 10-KSB and other filings made by such company with the Securities and Exchange Commission. You should consider these factors in evaluating the forward-looking statements included herein, and not place undue reliance on such statements. The forward-looking statements in this release are made as of the date hereof and MNU undertakes no obligation to update such statements.

Contact Information:  


The Sophon Capital Community Raises Thousands of Ethereums in Seed Funding

Sophon Capital Community – a digital asset service community based on blockchain and AI technology – has raised Thousands of Ethereum in seed funding in only one week

SHANGHAI, May 31, 2018 /PRNewswire/ — Launched a week ago, the community’s “trust + data + intelligence” application model has quickly won warm responses from market. Tens of millions of SAIT have been sold out within one week. What exactly makes Sophon stand out from many projects and gain favor from well-known venture capital?

By using blockchain and secure multi-party computing technology, Sophon Capital Community is committed to establishing the world’s first intelligence digital asset investment community that integrates investor education and protection, intelligent rating of ICO projects, smart investment, and intelligent digital capital management. Sophon is also capable of providing a set of one-stop investor service community that integrates investor protection, investment research, and transaction supervision services for digital assets benefit from strategic cooperation agreements with the World Blockchain Organization (WBO) and Caribbean Free Trade Zone. 

Frank Zheng, the Director-General of WBO, said Sophon is the only designated strategic partner of the WBO and the Caribbean Free Trade Area, and this partnership will greatly enhance the market competitiveness for both sides.

Liu Le, the founder of Bisheng, said services of Sophon are supported by the technical team led by Professor Bai Shuo (former Chief Engineer in Shanghai Stock Exchange). The team has been dedicated to research and application in the field of robo-advisor. It is a team that has accumulated rich experience in the area of Fintech.

Bai Xue, the Executive Chairman of the Advisory Board of the Sophon Capital Community, said in recent years, the rapid development of digital asset trading is facing the contradiction among the booming market and the lacking of market expertise, research, investment services and supervision. It is difficult for investors to accurately grasp investment opportunities and prevent risks in the massive amounts of digital asset information, an endless stream of negative reports on ICO indicate so. Sophon merges the two major advantages of blockchain and artificial intelligence, which will effectively support the steady development of digital asset investment. The beta version of Sophon Capital Community will meet with you next month, so stay tuned.

At present, the Sophon Capital community is in the second funding round, the WBO, Bisheng, and Xingyun PE are responsible for underwriting.

Cision View original content:

SOURCE Sophon Capital Community

KPMG and Google Enter an Alliance to Help Organizations Transform Digital Experiences

NEW YORK, May 30, 2018 /PRNewswire/ — KPMG International today announced an alliance with Google to help organizations transform their business and operating models with secure cloud computing, machine learning (ML), enterprise mobility and advanced analytics technologies. 


As part of the collaboration, KPMG is creating a portfolio of industry solutions built on Google Cloud Platform (GCP). KPMG member firms around the globe are currently engaging with clients on solutions for financial services, insurance, healthcare, manufacturing, and retail, among other industries. These solutions, including customer service solutions, contract management, cyber security, regulatory compliance and business and process performance, will benefit from GCP’s trusted security, advanced data analytics and ML.

Two KPMG solutions available now are KPMG Intelligent Interactions for creating a differentiated customer experience, and the General Data Protection Regulation (GDPR) Assessment and Compliance solutions for managing customer data and privacy. 

“Organizations are seeing advanced technologies and natural language experiences as a key to transforming their businesses,” says Miriam Hernandez-Kakol, KPMG’s Global Leader for Customer & Operations and Executive Sponsor for the Google Alliance. “KPMG is creating data-driven solutions that harness Google Cloud technology, including machine learning, to help our member firm clients advance business strategies and deliver unrivaled digital experiences.”

“Our alliance with KPMG helps customers across industries benefit from the advantages of Google Cloud, including our advanced security, data analytics and machine learning capabilities, to solve real business challenges,” says Tariq Shaukat, President, Partners and Industry Platforms, Google Cloud. “We’re working alongside KPMG to develop new solutions that help enable customers to actively participate in the ideation and creation of their own solutions.”

KPMG’s business acumen, industry knowledge, and business process consulting help member firm clients understand how to integrate ML technology. Combining this experience with Google Cloud’s pre-trained ML models, made accessible via application programming interfaces (APIs), streamlines new product development, where clients do not need to build and train their own models. KPMG also provides ML models that can be quickly customized using Google Cloud Machine Learning Engine.

The alliance allows member firm clients to take advantage of GCP-based solutions as part of the KPMG Ignite portfolio of AI capabilities, KPMG’s Center of Excellence for Data & Analytics and Intelligent Automation, and KPMG’s 65 Google Cloud certified consultants. The center has established a KPMG GCP ‘lab’ to foster experimentation and collaboration with Google Cloud on client use cases.   

KPMG Intelligent Interactions

One of the first available solution offerings under the alliance is KPMG’s Intelligent Interactions, part of KPMG’s Connected Enterprise portfolio. The solution automates and enhances customer interactions by using ML technology, including Google Cloud Speech-to-Text and Translate APIs, to determine sentiment and intent. 

KPMG Intelligent Interactions links with other intelligent automation (IA) technologies, such as robotic process automation (RPA), to help clients automate customer responses and redesign business processes. For example, voice automation—with capabilities to understand, translate, and identify sentiment and intent—can augment interactions with customers. Virtual assistants — built with Google Cloud ML language capabilities, including DialogFlow, Speech APIs, and Translate APIs—can anticipate customer needs based on predefined triggers.

GDPR Assessment and Compliance solutions

To help member firm clients build and execute a new vision for customer data management beyond compliance, KPMG teams offer purpose-built solutions that assist clients with the challenges of GDPR compliance while helping lay the foundation for a strong data management and privacy strategy.   

The solutions combine KPMG’s domain, regulation, customer analytics, enterprise data strategy and compliance knowledge with Google’s ML-based cloud technology, data management and advanced analytics products to deliver a sustainable platform with single customer views, legal and compliance support, end-to-end modelling platforms, cloud data warehousing and a secure data infrastructure. The solutions help reduce the costs associated with ongoing compliance, streamline compliance efforts, enable data-driven customer service improvements and support analytics-powered processing.    

For more information, visit

For more information, contact:

Jennifer Samuel
KPMG International
+416 451 8185

Kristen Morgan
KPMG in the US


About KPMG International
KPMG is a global network of professional services firms providing Audit, Tax and Advisory services. We operate in 154 countries and territories and have 200,000 people working in member firms around the world. The independent member firms of the KPMG network are affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. Each KPMG firm is a legally distinct and separate entity and describes itself as such. Some or all of the services described herein may not be permissible for KPMG audit clients, their affiliates or related entities.

Cision View original content with multimedia:

SOURCE KPMG International

QiO Named in Gartner Magic Quadrant for Industrial IoT Platforms

LONDON, May 31, 2018 /PRNewswire-PRWeb/ — QiO has been identified by analyst firm Gartner, Inc. in the May 2018 Magic Quadrant for Industrial IoT Platforms.* This inaugural report offers a view of the Industrial Internet of Things (IIoT) market and vendor offerings.

To be considered for inclusion, QiO was evaluated for completeness of vision and ability to execute. QiO’s industrial IoT platform, called QiO Foresight Platform®, was assessed as part of the company’s evaluation.

“In our view, QiO’s inclusion in the Gartner Magic Quadrant for Industrial IoT Platforms is yet another confirmation that we are accomplishing our mission, which is to liberate industrial engineers,” said Baz Khuti, CEO of QiO. “We feel that it reflects QiO’s innovative direction in the IIoT space of providing anticipatory intelligence in a world where data flows are increasing exponentially by the day. For our team, it also reflects our strong customer base and proven products.”

According to Gartner, “By 2020, on-premises Internet of Things (IoT) platforms coupled with edge computing will account for up to 60 percent of Industrial IoT (IIoT) analytics, up from less than 10 percent today.”

QiO Foresight Platform is a digital workbench that provides application assembly layer and data aggregation layer that is scalable, interoperable, secure and cloud-agnostic. QiO Foresight Platform inherently provides customers with dynamic digital twin technology called PARCS® (Performance, Availability, Reliability, Capacity and Serviceability) which is artificial intelligence infused to learn and grow from the deployment of QiO’s Foresight applications.

For additional information on Gartner’s Magic Quadrant for Industrial IoT Platforms, read a complimentary copy of the full report here.

*Source: Gartner Inc., Magic Quadrant for Industrial IoT Platforms, Eric Goodness, Ted Friedman, Peter Havart-Simkin, Emil Berthelsen, Alfonso Velosa, Saniye Burcu Alaybeyi, Benoit J. Lheureux, May 10, 2018.

[Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.]

About QiO:
QiO is a fast-growing global Industry 4.0 advanced analytics and artificial intelligence software company. QiO was founded in 2015 and has quickly attracted a marquee roster of clients in the Aerospace, Marine, Oil and Gas, and Manufacturing markets. Headquartered in the UK, QiO has offices in Germany, the United States, Canada, Singapore, and India. Learn more at



Noventis to Partner with HighRadius to Debut Secure Straight-Through Processing for Virtual Card Payments

HOUSTON, May 31, 2018 /PRNewswire-PRWeb/ — HighRadius, a fintech enterprise Software-as-a-Service (SaaS) company specializing in integrated receivables, today announced a partnership with Noventis, a leader in payment processing. Noventis will utilize HighRadius’ integrated receivables platform to bring straight-through processing (STP) for virtual card payments to Noventis’ extensive supplier network. This marks the commercial availability of HighRadius’ straight-through processing virtual card capabilities.

Leveraging the respective strengths and expertise of each fintech company, the relationship will eliminate barriers to payment and transaction automation frequently experienced by suppliers. The solution, powered by the radiusOneTM network provided by HighRadius, will automate both the processing of virtual card payments and the associated reconciliation to open invoices—all in a secure, enterprise-grade PCI-compliant environment.

“Suppliers are increasingly receiving virtual card payments from their buyers,” said Sayid Shabeer, Chief Product Officer, HighRadius. “Historically, this leaves suppliers with tedious, manual work for processing and reconciling these payments—not to mention the fact that it opens them up to higher risk and PCI compliance requirements with the card data exposure. Through this collaboration, we’re eliminating all the above for Noventis’ extensive and growing client base. For the first time, these suppliers will benefit from secure straight-through processing and reconciliation for virtual card payments.”

Through its vast payment platform and network, Noventis has been serving the unique needs of suppliers by replacing costly, inefficient paper checks with fast, secure virtual credit card payments delivered via the supplier’s preferred method, such as web, IVR, file delivery, email and phone. With this arrangement, Noventis and HighRadius are offering a superior method that further streamlines the secure acceptance, processing and reconciliation of these payments for the suppliers.

For more than a decade, HighRadius has brought innovative, cloud-based software solutions that automate B2B payment and receivable processing for some of the world’s largest brands. The collaboration marks huge growth for HighRadius’ radiusOne network of buyers and sellers by inclusion of the rapidly growing number of suppliers from Noventis.

“We’ve made significant strides in our mission to bring electronic payments and other automation to businesses, but there are still barriers that A/R experts like HighRadius can help Noventis address,” said Blair Jeffery, Chief Operating Officer, Noventis. “Their solution solves broader problems beyond just payment delivery, creating an elegant and efficient pathway to true straight through processing, which has not been addressed well, particularly for small businesses.”

About Noventis
Noventis develops innovative solutions to challenges around the delivery of bill and invoice payments. Its state-of-the-art payment processing platform delivers payments to an ever-growing network of billers and suppliers. Leveraging the company’s patented technology, Noventis is improving speed and efficiency by eliminating paper checks and automating other functions with straight through processing (STP). For more information, visit, or follow us on LinkedIn and Twitter.

About HighRadius
HighRadius is a Fintech enterprise Software-as-a-Service (SaaS) company. The HighRadius™ Integrated Receivables platform optimizes cash flow through automation of receivables and payments processes across credit, collections, cash application, deductions, electronic billing and payment processing. Powered by the Rivana™ Artificial Intelligence Engine and Freda™ Virtual Assistant for Credit-to-Cash, HighRadius Integrated Receivables enables teams to leverage machine learning for accurate decision making and future outcomes. The radiusOne™ B2B payment network allows suppliers to digitally connect with buyers, closing the loop from supplier receivable processes to buyer payable processes. HighRadius solutions have a proven track record of optimizing cash flow, reducing days sales outstanding (DSO) and bad debt, and increasing operational efficiency so that companies may achieve strong ROI in just a few months. To learn more, please visit

Media Contact
Michael Kellner


SOURCE HighRadius

Terma Software Announces Incentive Program for CA Technologies Customers

BOULDER, Colo., May 31, 2018 /PRNewswire-PRWeb/ — Terma Software, the developer of market leading cross-platform, predictive analytics solutions for Workload Automation environments, announces a special program for CA Technologies customers to upgrade to the latest release of TermaAnalytics. With this announcement, Terma is offering customers of CA’s iDash product for AutoSys and CA 7 special incentives to upgrade to Terma’s market leading solution for SLA Management, Predictive Monitoring, Advanced Workload Analysis and Reporting. CA’s iDash product lacks many of the capabilities provided by Terma, including accuracy in predictive monitoring using Artificial Intelligence, support for cross-platform workloads, support for multi-vendor environments, and advanced reporting capabilities.

Shane Hade, CEO of Terma Software commented, “We’ve watched over the past few years as some CA customers adopted the product which CA had acquired in an effort to advance the capabilities of their AutoSys and CA 7 environments. Unfortunately, these customers have not experienced the benefits that they were promised. We want to help these customers realize not only those benefits, but much more.”

CA Technologies acquired iDash several years ago in an attempt to lay claim to offering a Workload Analytics solution, despite the product having no support in the AutoSys customer base at the time of acquisition. Following acquisition, CA made marginal strides to improve the user interface and attempted support of CA 7 on the mainframe. Because market research indicates that customer expectations remain largely unmet, Terma has stepped up to offer its fully functional suite of products to iDash customers.

Terma Software has helped hundreds of customers modernize their scheduling, improve workload reliability, and provide a high level of visibility into their workload environments. This has resulted in customers significantly lowering risk, improving efficiency of workload resources, and ultimately driving down costs. If you have licensed CA’s iDash product and are in need of an alternative, check out our risk-free replacement program. With Terma’s program there is no conversion required – most environments are operational in a matter of days. Please visit us at or email us at for more information on this program as well as related offerings for optimizing CA AutoSys and CA 7 Workload Automation Environments.

About Terma Software

Terma Software has developed the industry’s most comprehensive platform for workload intelligence and the ability to leverage it to provide measurable predictive analytics. Terma’s products TermaVISION, TermaUNIFY, and TermaINSIGHT enable optimization of workload processing to help realize more value from Workload Automation tools by providing SLA management, forecasting, predictive analytics, prescriptive actions and reporting through analytics, Artificial Intelligence (AI), and Machine Learning. The products ensure that companies can lower their costs and improve the reliability and performance of mission critical workload processes. Terma supports any job scheduler, including CA AutoSys, CA7, IBM Workload Scheduler (IWS), and Tidal Workload Automation. Terma is the only supplier of management solutions in cross-vendor and cross-platform scheduling environments providing a single perspective (aka single pane of glass) into the environment. The products are available on-premise or SaaS. For more information or to arrange an overview of the solution, contact Jim Anderson, Vice President at Terma Software. Jim can be reached by email at, or


SOURCE Terma Software

Qardio Brings the Power of its Digital Health Solutions to Doctors Interested in Billing for Remote Care

SAN FRANCISCO, May 31, 2018 /PRNewswire/ — Qardio, the leading digital health company, announced a new service for remote monitoring that brings a smarter way for doctors to deliver non face-to-face patient care while increasing revenue opportunities with the new reimbursement CPT code 99091. This new service is powered by Qardio’s doctor platform, QardioMD, which automatically compiles and analyzes patient vitals such as blood pressure, ECG and weight recorded outside the doctor’s office. This means that doctors can now more easily be reimbursed for the remote care they provide: doctors have a better way to grow their practice while improving on-going patient care for treatment related to conditions such as hypertension and obesity.

Qardio’s remote monitoring platform empowers patients with an intuitive app and connected, award-winning devices that are proven to drive unprecedented patient engagement. Patients data is synced to the QardioMD dashboard where it’s organized in an easy and actionable way. QardioMD connects seamlessly with existing EHRs, and physicians have access to time tracking tools to expedite reimbursement of claims.

“The success of remote monitoring starts and ends with an engaged patient that measures frequently and provides doctors with medically accurate data they can trust,” said Rosario Iannella, CTO of Qardio. “This is what Qardio does best. Our users measure blood pressure three times more often than other BP monitor owners and they stay engaged for periods of time unprecedented in the health industry.”

Already doctors nationwide are providing remote care to their patients. A study estimated that the number of remotely monitored patients will reach 50.2 million in the next four years. Qardio’s latest offering gives these doctors a convenient way to increase their profitability on a meaningful scale and bill for multiple CPT codes while improving patient satisfaction and health outcomes.

“QardioMD can be setup in a matter of minutes with zero upfront investment, and it eliminates all frictions for physicians to provide remote monitoring and care. It is a tangible opportunity to enhance care while growing reimbursement revenues,” said Martina Janeckova, VP of Business Development at Qardio. “Doctors not exploring these opportunities are missing out on significant profits and might not have the chance later on as a patient with multiple doctors can only select one provider to get reimbursed under these codes.”

Remote monitoring with Qardio is particularly suitable for patients with chronic conditions who usually require frequent routine check-ups and long-term care. As more adults develop these conditions earlier in life, new technology-driven solutions such as Qardio’s allow access to high-quality care in a better way for both the patient and the doctor.

About Qardio:
Qardio is a leading digital health company with the mission to give the world easier, smarter and better heart health through technology. Qardio’s award-winning products are powered by elegant design, innovative technology, smart data analytics and artificial intelligence. For more information, visit and

Media Contact:
Lucy Donahue


Cision View original content:

SOURCE Qardio, Inc.

COPAN Defining the Future of Human Robot Collaboration in Clinical Microbiology Launching its Breakthrough Technology at ASM

MURRIETA, Calif., May 31, 2018 /PRNewswire/ — COPAN is proud to announce its North American launch of COPAN’s new Collaborative Robot, its latest technology for Full Laboratory Automation. COPAN’s Collaborative Robot is the next generation of COPAN’s unique solutions in full laboratory automation, applied robotics and use of Artificial Intelligence (AI). The Collaborative Robot automatically manages many manual microbiology processes done at the laboratory bench, such as processing traditional fiber swabs, positive blood culture bottles, tissues, wound aspirates, and sterile body fluids. Technologists simply scan the specimen barcode, and the robot presents the precise sequence of pre-labeled plates or tubes. After the plates are manually seeded, the Collaborative Robot streaks the plates and places them on the conveyor track to the WASPLab™ incubators. The Collaborative Robot can also be used to automatically seed MALDI-TOF slides and setup AST/ID panels.

Defining the Future of Human Robot Collaboration in Microbiology at ASM Microbe

Known for its safe interaction with humans, the dual-arm collaborative industrial robot is new technology that is used in industrial manufacturing settings. Pioneered by COPAN, this is the first time this technology is applied to Clinical Microbiology. Using this robot, COPAN has developed robust applications that can improve traceability, and reduce transcription and transposition errors from manual processes. “Since the first prototype of WASP® in 2007, COPAN has continued to push the boundaries of automation and technology in a Microbiology setting. We took our experience from our manufacturing floor, including our experience with SCARA robots, and condensed it on a benchtop size instrument for what was then a revolutionary invention, WASP®. From a hardware point of view, WASP® was followed by WASPLab™, Colibri, and WASP-FLO™. The introduction of the Collaborative Robot is another big leap forward, and it is in line with COPAN’s track record of using the latest robotic technology available creatively to advance Microbiology and improve patient care,” stated Norman Sharples, CEO of COPAN Diagnostics, Inc.

COPAN’s vision of openness, modularity, and scalability is captured by the mobility of the Collaborative Robot to plug into different Work-Pods within the laboratory. The multipurpose collaborative robot can be easily moved between Work-Pods, as needed, expanding its usefulness. “Processing traditional swabs, positive blood cultures, and setting up MALDI-TOF slides and AST/ID panels are laborious tasks in the laboratory but require precision and dexterity. In an age of increasing workloads and diminishing resources, those tasks can be performed by COPAN’s Collaborative Robot, while highly qualified laboratory professional can focus on esoteric tasks that require their experience, knowledge and training. We are very excited for this new addition to our product line and its positive impact on the lab and on patients,” concluded Sharples.

This innovative Collaborative Robot, along with COPAN’s full line of automation, AI algorithms and collection and transport systems, will be displayed by COPAN while attending the ASM Microbe 2018 General Meeting, in Atlanta, GA from June 7 to 11, 2018 at booth #2021 and at the 70th AACC Annual Scientific Meeting & Clinical Lab Expo in Chicago from July 29 to August 2, 2018 at booth #4205.

About COPAN Diagnostics, Inc.
With a reputation for innovation, COPAN is the leading manufacturer of collection and transport systems in the world. COPAN’s collaborative approach to innovation in pre-analytics has resulted in the original FLOQSwabs™, ESwab™, FecalSwab™ and UTM™, as well as Full Laboratory Automation. COPAN’s collection and systems have been proven to advance the quality of traditional and contemporary microbiology assays. COPAN’s automation includes specimen processing, smart incubation, digital imaging, and strong algorithms for automatic segregation of bacterial cultures, followed by automated colony picking. For more information, visit


Cision View original content with multimedia:

SOURCE COPAN Diagnostics, Inc. Launches First Privacy Management and Control Solution Purpose-Built for GDPR

BEER SHEVA, Israel, May 31, 2018 /PRNewswire/ —

Technology startup today launched the first data and privacy management & control solution born of the enormous growth of privacy regulation globally that is based on real time network analytics. Specifically designed to meet the stringent requirements of the General Data Protection Directive (GDPR), as well as those of HIPAA, PCI DSS and other regulations, the suite of solutions provides continuously updated visibility into the data flows within an organization, enabling privacy and security stakeholders to locate all personal data, be it known or unknown, structured or unstructured, in motion or at rest.

GDPR sets the guidelines for how global organizations store, process and share personal data collected from organizations established in the EU in order to protect data subject rights. Unfortunately, organizations are increasingly storing personal data in unsecured locations within local and network storage, email, the cloud and other areas of ‘shadow IT.’  This creates security risks and non-compliance with many regulations.  Existing data discovery and business process mapping solutions are labor-intensive and non-comprehensive, requiring users to classify every piece of data and track location details, yet providing no insight into network data flows. is a leading solution that maps the organization’s personal data flow to business processes, outlining how information is being shared within the network and with partners and international organizations.  It is also able to auto-classify, i.e. identify and categorize data by type with no user intervention.  

“Our mission is to provide organizations with an efficient, simple and inexpensive means of tracking personal data — not just for GDPR, but for all compliance and security purposes,” said CEO and co-founder Zak Rubinstein. “We are receiving a number of referrals from security resellers and law firms, because our solution helps companies show privacy regulators that they are taking reasonable steps to protect personal data, and much more. It essentially provides significant support for compliance with all privacy rights involving data access, rectification, erasure, processing restrictions, third-party sharing, notification and data portability.” is available as hardware or for installation on a virtual appliance, and works by combining several cutting edge and proprietary technologies and techniques, including:

  • Network Tapping: Leverages network taps to analyze traffic in a seamless and non-intrusive manner; automatically and perpetually discovers which repositories, assets and applications are holding, processing or sharing personal data.
  • Data Mapping: Creates neural networks of personal data flow and business processes, outlining which network elements are communicating personal data with each other, how and why.
  • Natural Language Processing: Differentiates between personal data and sensitive personal data.
  • Artificial Intelligence Algorithms: The system self-learns to identify other assets that are storing, processing or sharing personal data based on an automatically generated profile.

About is an Israeli technology company whose solution provides automated real-time discovery, mapping and tracking of personal data flow. Its founders have 20 years of experience developing successful networking and security technologies and bringing them to market. The company is backed by JVP, Ben-Gurion University of the Negev, and the Israel Innovation Authority. combines proven cutting-edge technology from the fields of unique personal data discovery and dynamic network element discovery that is leveraged in some of the most demanding environments in the world.

Mark Prindle
Fusion PR