Press Releases

San Bernardino County, California Selects Aurigo Essentials Cloud Software To Streamline Its Capital Program Planning, Project Delivery And Right Of Way Processes.

AUSTIN, Texas, July 17, 2019 /PRNewswire/ — San Bernardino County, which is the largest county in the United States by area covers the areas of Los Angeles and Long beach of over 20,000 square miles. The Real Estate Services Department at San Bernardino completed over 108 capital improvement projects in 2018 for a total of $67M toward its infrastructure, bridge replacements, and right of way projects. The Project Management Division (PMD) has selected Aurigo Essentials Cloud to streamline the way it plans and delivers its capital projects in the future.

Aurigo Essentials is an all-in-one,  construction project management software product delivered over the cloud. (PRNewsfoto/Aurigo)

“The PMD division at San Bernardino county wanted to select a modern software that handled the entire capital project lifecycle over the cloud, and yet met our budget, and demand for a quick implementation cycle. After a thorough vetting process, we selected Aurigo Essentials as they checked all the boxes. We are looking forward to a strong technology partnership with Aurigo,” said Joel Garnica, Supervising Project Manager, San Bernardino County.

“Aurigo is excited to partner with the San Bernardino County and help the Real Estate Services Department to meet its capital project management needs with Aurigo Essentials. We see our entry into the small and medium government market place with Aurigo Essentials as a major game changer, that will help small and medium government agencies plan and deliver their capital projects using best in class cloud software at a very affordable price,” said Balaji Sreenivasan, CEO of Aurigo Software Technologies Inc.

About Aurigo

Aurigo Software is America’s leading provider of modern cloud software to help infrastructure owners plan, build, maintain and operate their multi-billion-dollar capital investments safely and efficiently.

Aurigo Masterworks Cloud is a comprehensive suite of enterprise software products that automates the entire lifecycle of capital programs, including planning, forecasting, budgeting, bid & estimation, project management, contract administration, scheduling, right of way, permitting, materials testing, field inspection, civil rights, and document control. The system has powerful reporting and dashboard capabilities, a native mobile application and is investing extensively to harness Artificial Intelligence and Blockchain technologies. Aurigo helps over 200 customers plan and deliver over $300 Billion of capital programs safely and efficiently. Aurigo is a privately held US corporation headquartered in Austin, Texas, with wholly owned subsidiaries in Canada and India.

Aurigo Essentials Cloud is an all-in-one construction project management software solution, built on the same powerful Aurigo Masterworks platform. Aurigo Essentials is catered to needs of Small and Medium Government agencies, to help them automate their capital planning and construction lifecycle processes at a very affordable price.

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Squirrel AI Learning by Yixue Group, the first AI self-adaptive education brand of Asia-Pacific region, turns up in the globally largest AI summit

LONDON, July 17, 2019 /PRNewswire/ — From June 12 to 13, 2019, The AI Summit, the globally largest AI event, was held in London of the UK. As a focus of London Tech Week 2019, the 4th annual AI Summit this year was attended by more than 2,000 people. More than 500 AI tech leaders from different industries delivered wonderful speeches. In 2019, enterprises that accelerated business transformation with science and technology will be focus of attention. The TechXLR8, one of the thematic exhibitions of the AI Summit and the largest science and technology exhibition in Europe, had attracted a lot of attention. Meanwhile, five major thematic exhibitions of science and technology on such themes as Internet of things, cloud end and quantum computation continued to be popular this year.

As a unicorn artificial intelligence education enterprise of China, Squirrel AI Learning by Yixue Group was also invited to the summit for its leading international status and reputation in the field of “AI+ education”. Its partner Joleen Liang was invited among the five hundred speakers of the summit. She delivered a speech to introduce the development experience and brand success of Squirrel AI Learning and shared the successful AI application experience and scenarios of the enterprise with the audiences as other renowned tech leaders from different industries, such as Caroline Gorski, the director of R² data laboratory of Rolls Royce Group, Remi S. El-Ouazzane, vice president and chief operation officer of the AI product division of Intel, Dr. Joseph Aoun, the president of Northeastern University, a renowned private research-based university of the US, Cassie Kozyrkov, the chief decision-making scientist with Google, and Ryan Den Rooijen, the global data service director of Dyson.

Joleen Liang, a partner of Squirrel AI Learning, delivers a speech

Squirrel AI Learning is a trendsetter for the self-adaptive education of China. Its self-adaptive learning system can mine the learning data of students, plan a learning path for them through the limitless computing power and intelligent analysis of AI and offer personalized tutoring based on the index data spectrum of the students.

Through splitting of knowledge points at the most basic level and the accurate analysis and diagnosis of AI, Squirrel AI Learning can judge the knowledge mastery of the students, realize targeted teaching and knowledge map of error cause reconstruction and identify the non-relevant knowledge points, thus turning education into a science that can be defined, measured and imparted.

As the first AI self-adaptive education brand across the Asia-Pacific region, Squirrel AI Learning has made gratifying achievements on the path of AI+ education. Its R&D achievements include self-adaptive learning engine with complete intellectual property rights and designed based on senior algorithms. Squirrel AI Learning’s self-adaptive learning system is an imitation of excellent teachers, which can improve the efficiency by five to ten times than traditional education. In several man-machine battles held in China, the teaching team of Squirrel AI Learning helped each student to learn 42 knowledge points in eight hours on average, far better than the human teaching team that helped each student to learn 28 knowledge points in eight hours on average. In terms of technical advantages, Squirrel AI Learning has numerous world’s first AI application technologies, such as MCM capability value training, knowledge map of error cause reconstruction, knowledge point splitting at the most basic level, relevance probability of non-relevance knowledge points, and MIB. In AIED, AREA, IJCAI, KDD and other top AI or educational academic conferences in the world, it has won awards for papers or been invited to give lectures. It has shined brilliantly on the international stage, showcasing the scientific achievements of China’s AI in the field of education to the world.

Liang mentioned in her speech that in recent years, the entire education sector has witnessed the emerging of a batch of education companies focusing on such aspects as voice recognition, image recognition, natural language processing, big data analysis, knowledge mapping and AI self-adaptive learning. Liang said, “In revolutionizing the traditional education, the core of AI is to fundamentally change the substance of teaching and provide students with personalized quality education from the contents of teaching, to the accuracy of knowledge imparting, to the real-time monitoring and evaluation of the learning process.”

“AI technology, particularly the AI self-adaptive technology, can help the new generation of teachers teach more effectively and enhance the efficiency of education sector.”

Starting from the headachy issues in the learning of students, Squirrel AI Learning has innovatively applied the AI technology in education. Liang mentioned that by empowering the education sector with AI and revolutionizing the learning methods of Chinese students, Squirrel AI Learning has mainly solved two tough issues of the education sector.

First, it provides the students with accurate and personalized education plans. In the education system of China, the students are managed and educated following a model where teaching is organized in the class and the students are under the charge of a head teacher. Yet in this model, the teachers can only give consideration to the average level of most kids in the class. As a result, those particularly excellent students cannot “get enough” and those with a relatively poor academic performance cannot “absorb so much”. As time goes by, the academic performance of the latter will become increasingly poor. Yet if we build a learning system centered on every student based on artificial intelligence, we will be able to customize a learning plan according to the learning speed of every kid, get an accurate persona of the kid and make a comprehensive judgment on the kid through knowledge mapping and information theory.

Second, through artificial intelligence, we can further identify the emotional changes of the students and foster their abilities, thoughts and methods. For the students, it’s extremely important to foster their learning capabilities. On one hand, Squirrel AI Learning can accurately outline the thoughts, abilities and methods of a kid through algorithms and provide the kid with a solution. On the other hand, Squirrel AI Learning has established a learning capability model that can be defined, measured and imparted. Using the self-adaptive learning system of Squirrel AI Learning, underachievers can also master the learning methods and skills of excellent students, including intuitive judgment capacity and tripartite theory, thus truly mastering the learning capabilities with a lifelong benefit.

In four years, Squirrel AI Learning has accessed the data of nearly 2 million students and opened nearly 2,000 learning centers in more than thirty provinces, autonomous regions and municipalities directly under the central government of China. In 2018, the headquarters of Squirrel AI Learning and its campuses nationwide earned nearly 1 billion yuan, with a compound growth rate of 500% in the past three years. At The AI Summit held in London, Squirrel AI Learning, as a typical enterprise in the AI+ education of China, showed the strength of China in AI+ education to the world through its actual achievements and made more people understand the benefits brought by AI empowered education.

Jeremy Wright, the minister of digitalization, culture, media and sports of the British government, delivered a welcoming speech in the summit and introduced the contemporary science and technology in a historical context. He said that the AI Summit was one of the highlights of London Tech Week. The term “summit” was in fact coined by Winston Churchill in the 1950s. Though at that time the prime minister had no idea that artificial intelligence could be applied so widely today, it was obviously a pioneering action of artificial intelligence for him to establish the Office for National Statistics in 1941, which was a move to “guarantee the consistency of statistical information among different departments”. This concept proved that the more complex and tedious the data was, the more benefits it could bring. According to Jeremy, the digital economy of the UK is now driven by emerging technologies such as AI. As a leading center of science and technology in Europe, the UK has more high-tech enterprises with an output value of one billion yuan than other countries of Europe. In 2018, the UK’s investment in artificial intelligence reached one billion pounds, surpassing the total amount of investments of Germany, France, Holland, Sweden and Swiss. He focused on exploring how the British government guides the social benefits of emerging technologies and how to guard against adverse applications of artificial intelligence that may endanger the society in the future. The industrial strategy of the UK has confirmed artificial intelligence and data as one of the four industrial challenges. Relying on its universities with world-leading academic strength, excellent financing channels and trustworthy public institutions such as NHS, the UK has the confidence to become a leader in the development of artificial intelligence in the coming years. Meanwhile, the UK has numerous organizations in such fields as bio-medicine, law, finance, research and network security. Jeremy claimed that these organizations will become increasingly strong with the application of artificial intelligence in their operation, products and services. The artificial intelligence department plan unveiled last year was supported with a fund of one billion pounds from governments, industrial community and academic community. Besides, related skills of AI career are also a focus of attention from the British government. The British government has provided a comprehensive package of skills ranging from lifetime digital skills training to digital skills cooperation and then to the computer science course improved by schools. The UK has invested 84 million pounds to establish a new national computer education center led by British technical experts, which provides the teachers with the disciplinary knowledge and support for the cultivation of the next generation of talents. In June, the Prime Minister of the UK announced to invest 13.50 million pounds in new conversion courses to develop professional AI and data skills. The plan will provide an extra quota of 2,500 to each university of England and offer financial support to a quota up to 1,000 to improve the diversity and typicality of AI workers. He summarized that artificial intelligence is a driving force to make the economy more healthy and fair as well as a goal we must pursue in the digital era.

Caroline Gorski, the director of R² data laboratory of Rolls Royce Group, delivered a speech with the title of “Establishing Digital Prioritized Business”. She said that Rolls Royce had made a lot of efforts in the establishment of digital prioritized business. At the beginning, its digital learning school was opened to all staff of Rolls Royce with 19 unique courses. Afterwards, it was developed into a relationship network of Digital Pioneer and the seventy staff members had become the earliest members of Digital Pioneer. The school and its courses had been run online in R² data laboratory. The digital training had witnessed a complete learning journey of 38,000 credit hours in total of more than 5,500 employees worldwide. Caroline continued to say, behind the education and training model was in fact a simple technical framework. Rolls Royce provided different learning resources to satisfy the “different needs and demands” of students and trainees of different types, with different knowledge and skills and from different professions and fields. Based on this concept, Rolls Royce has not only maximized the utilization of existing learning resources in the market, but also provided its own employees with exclusive and customized learning materials. Among its digitalization elements, the learning population shows an inverted triangle of diminishing trend from all to many to some, while the learning completion degree shows an erected triangle of growing trend on this basis. Divided by the learning completion degree, basic and primary courses are available to all learning population, who are referred to as “Ambassadors”; primary and advanced courses are designed for the majority of learning population, who are referred to as “Pioneers”; only a very few of the learning population will reach the bottom of the inverted triangle to finish the expert-level courses, who are referred to as “Practitioners” and enter industrial associations ultimately. Unfolding from learning and training, Caroline shared three breakthroughs of Rolls Royce in industrial AI. First, creating values, like in the end analysis and automatic shipping in EHM. Second, improving the productivity, like the training based on VR and the application of computer assisted visual inspection in a nuclear power boiler. Third, increasing knowledge quantity, like the growth of manufacturing capacity and services. In addition, Rolls Royce teaches digitization through three channels, which are motivation, learning and collaboration. In 2020, every employee of Rolls Royce will be able to realize and participate in the institute of digitization. The self-help learning and content development oriented to communities will become a normal state. The professional knowledge and core skills of digital thinking and data innovation will also be embedded.

Remi S. El-Ouazzane, vice president and CEO of the AI product department of Intel, delivered a speech “How to unleash the potential of artificial intelligence”. His suggestion was simple and clear. First, we should increase the success rate of AI and think carefully, understand the eco-system of our enterprise and develop safe and transparent policies and schemes. Remi has chosen Iflytek from the cases of natural language processing as an example. The demand of Iflytek has grown with the increase of customer traffic and the demand for faster service should also satisfied. Yet the challenge faced by Intel is how to develop and utilize the cloud-based environment and remain flexible when entering a new market. The solution provided by Intel is to utilize the most advanced CPU upgrade to speed up and handle the enterprise-level applications. Such a solution can guarantee better customer’s experience and a better total cost of ownership (TCO). In terms of security, Intel and Microsoft are both trying to promote dynamic encryption through open source.

Dr. Joseph Aoun, the president of Northeastern University of the US, delivered a speech “The role played by AI in higher education”. He pointed out that AI has promoted the economic development of countries such as the UK, the US, and Canada in the past years. Yet the economic development impetus has originated from systematic support of government. Without the mainstay of government, there will be a lack of information such as AI technology for the decision-maker. Higher education is an effective touchstone for emerging technologies such as AI. The values of AI in higher education will be fulfilled if it can facilitate the social progress and maintain the dignity of human beings in the society.

Cassie Kozyrkov, chief decision scientist of Google, shared the “automation behind the human’s performance”. She came to the point, “The story of the human beings is a story about automation.” She said that the purpose of all automatic equipment invented by the humankind, including today’s artificial intelligence, was to finish tasks better. For example, the automation systems or artificial intelligence behind machine learning are developed by human beings. Whoever makes the subjective choices, we should understand it clearly so that we can avoid bias in thinking of and producing these systems. She stressed that nowadays the rhetoric of science fictions will disperse the human responsibility. From the setting of goals by leaders, to inspection of analyzers and decision-makers to the data collection provided by engineers, the tests and operations need to be finished by statisticians and reliable engineers in accordance with the security rules. She summarized that the humankind should draw experience and lesson from the history, learn from experience and build future AI prudently rather than move on blindly.

Ryan Den Rooijen, global data service director of Dyson, focused on discussing how to take customers into consideration in development at all moments. He delivered a speech of “Bearing customers and invention in mind – Dyson shares its experience of AI”. He believed that Dyson has defined artificial intelligence appropriately through three elements. Under the precondition of satisfying the demands of humans, we should utilize data and algorithms to satisfy the demands of humans. The three elements are indispensable. For example, the well-known Dyson vacuum cleaner detects the surfaces through AI algorithms to achieve more accurate product effects.

The AI Summit 2020 will be held in London from June 10 to 11.

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Iron Mountain and 451 Research Offer Insight into Unlocking and Monetizing Your Unstructured Data

BOSTON, July 17, 2019 /PRNewswire/ — Iron Mountain Incorporated™ (NYSE: IRM), the global leader in storage and information management services, and 451 Research, a leading technology research and advisory firm, will host a webinar on “Unlocking the Business Value of Unstructured Data with AI/ML” focused on the revenue generation and innovation opportunities within an organization’s data that can be revealed through the application of machine learning and artificial intelligence. The one-hour session will feature 451 Co-founder and Research Vice President Nick Patience and Anke Conzelmann, director of product management for Iron Mountain.

The vast amount of unstructured data that exists in organizations represents both a risk and a new set of opportunities. Until recently, that vast and growing set of data represented something to be tolerated at best, or feared at worst, given the risks inherent in ignoring the sensitive nature of some of the content. Now, with AI/ML-enabled solutions like Iron Mountain InSight, machine learning enables not only the classification and management of that data, but also the ability to create new revenue streams from previously dormant data.

Iron Mountain InSight combines Iron Mountain’s content analytics, data management and information governance expertise with Google Cloud’s Machine Learning (ML) and Artificial Intelligence (AI) capabilities to enable organizations to mine their data to uncover new revenue stream opportunities and cost savings. A cloud-native content services platform, Iron Mountain InSight uses ML and AI to automatically classify, extract and enrich physical and digital content. The solution is delivered as a subscription service to lower the cost of ownership, speed time to value and help organizations continue their digital transformation journey.


“Unlocking the Business Value of Unstructured Data with AI/ML”


Wednesday, July 17 at 11 a.m. ET


Anke Conzelmann, director of Product Management at Iron Mountain
Nick Patience, founder & research vice president, Software at 451 Research


In this session, attendees will hear more about:
–  The challenges and risks of too much data
–  What AI/ML can do in solving these challenges
–  How organizations can start their own AI/ML digital and data transformation journeys, featuring real-world use cases

To Register:

For more information on Iron Mountain InSight, visit

About 451 Research
451 Research is a leading information technology research and advisory company focusing on technology innovation and market disruption. More than 100 analysts and consultants provide essential insight to more than 1,000 client organizations globally through a combination of syndicated research and data, advisory and go-to-market services, and live events. Founded in 2000 and headquartered in New York, 451 Research is a division of the 451 Group. Learn more and connect with 451 Research on Twitter and LinkedIn.

About Iron Mountain
Iron Mountain Incorporated (NYSE: IRM), founded in 1951, is the global leader for storage and information management services. Trusted by more than 225,000 organizations around the world, and with a real estate network of more than 90 million square feet across more than 1,450 facilities in approximately 50 countries, Iron Mountain stores and protects billions of valued assets, including critical business information, highly sensitive data, and cultural and historical artifacts. Providing solutions that include information management, digital transformation, secure storage, secure destruction, as well as data centers, cloud services and art storage and logistics, Iron Mountain helps customers lower cost and risk, comply with regulations, recover from disaster, and enable a digital way of working. Visit for more information.

Media Contact:
Christian T. Potts
Iron Mountain Incorporated

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Robotic Process Automation Market to Grow at a CAGR of 26.34%, 2024 – Adoption of AI and Cloud-Based Solutions for Internal Efficiency Among SMEs

DUBLIN, July 17, 2019 /PRNewswire/ — The “Robotic Process Automation Market – Growth, Trends, and Forecast (2019 – 2024)” report has been added to’s offering.

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The Robotic Process Automation Market is expected to register a CAGR of 26.34%, during the forecast period of 2019-2024

Robotic process automation (RPA) also called as intelligent automation or smart automation basically refers to advanced technologies that can be programmed to perform a series of tasks, like data manipulation, triggering responses, and creating necessary communication with other process and systems, which previously required human intervention.

Market vendors are also enhancing their offerings, by adding new features in areas, such as automation lifecycle management, workload management, SLA-based automation, credential management, and Citrix automation, as well as adding new data APIs. These enhancements are attracting new industries that are looking for higher operational and security capabilities.

  • The adoption of RPA among SMEs, especially financial services, are thriving market growth. According to a survey conducted by Nasdaq, in 2018, 70% of respondents are already using the technology in their operations.
  • Growing deployment of SaaS, IaaS, and PaaS offerings, for customer relationship management, cloud computing, enterprise resource management, open source resources, cooperative robot learning, network connectivity, and other financial applications, are also developing a market for RPA solutions.
  • The rising trend of the shift toward cloud-based solutions and increasing adoption of robot-based solutions, throughout various end-user industries, are expected to create new opportunities for the establishment of robotic process automation market globally.
  • The adoption of software robots for managing routine work carried out by temporary or seasonal staff, or for staff bursts that are required by regulatory spikes, new product launches, or some new operation being introduced, is further developing the market growth.

Scope of the Report

RPA is an application technology which uses software with capabilities of artificial intelligence and machine learning for handling a high volume, repeatable tasks. It allows employees to configure and program any computer software or a robot to interpret exiting application in the organization for manipulating data, processing transactions and communicating with digital systems. The RPA is similar to traditional IT automation but the major difference between these technologies is, RPA is capable of learning itself and adaptive to changing circumstances which a traditional IT automation system lacks.

Key Market Trends

Retail Expected to Have Significant Growth

Rapid growth in the e-commerce industry is an important factor adding to the growth of the robotic process automation market. Online sales in the United States are expected to double, by 2023, reaching approximately 20 to 25% of the overall retail sector. Along with adopting innovative practices to attract and engage more customers, the players in the retail industry have been using newer technologies for Retail automation to smoothen their processes and gaining a growth momentum to counter various challenges. The retail landscape is facing numerous challenges, which require a reorganization of business processes from top to bottom. RPA solutions can easily penetrate the issues, such as the rising cost of production, tech-enabled shoppers, an unreliable supply, implementing new technologies, from payment to payroll management systems, and labor availability.

  • The growing number of warehouses is making the retail sector to use Robotic Process Automation in order to do the tasks more efficiently and effectively. A recent study conducted by Zebra Technologies on the anticipated future trends in the retail sector revealed that around 60% of the retailers are expected to adopt automation across all the key functions by 2021.
  • The growing adoption of machine learning and big data into the RPA solutions is further increasing the adoption of RPA in retail. Moreover, many offline retail players are enhancing their online presence through RPA solutions.
  • Returns processing, workflow management, customer support management, accounting and finance, ERP management and marketing, and consumer behavior analysis are some of the applications in the retail sector, with RPA playing an important role.
  • It is estimated that more than 2 trillion USD can be saved in a global workforce by automating almost half of the tasks performed by humans, especially in an emerging industry, like retail.
  • With the introduction of innovative technologies like Radio Frequency Identification, Point Of Sale and the most recent and most impactful RPA (Robotic Process Automation), companies are looking beyond the human capabilities to manage processes more accurately and productively.
  • For instance, In March 2018, Walmart Inc. announced plans to expand its Online Grocery Delivery option to more than 40% of US households, by the end of the year. The service, available in six markets as of March, aims to grow to more than 100 metro areas across the country.

North America Expected to Have Significant Market Share

North America accounted for significant market share in the robotic process automation market. The increased demand for robotic process automation in this region is attributed to the rising of automation in various sectors such as healthcare, electronics, retail, education, services, and government. Due to the high number of outsourced customer services companies and the presence of major vendors of the market studied, the region is dominating the global RPA market.

  • Due to the presence of prominent players in the region coupled with the availability of infrastructure for the successful adoption of RPA the adoption of robotic process automation solutions is increasing in this region. North American is expected to account for a substantial share due to the increasing adoption of digital transformation across industries, in the robotics process automation market.
  • The United States which is the largest in the BPO sector (as per the data from NASSCOM and Philippines Labor Statistics, US Labor Statistics), is an early adopter of RPA, across enterprises. The growth of the IT and telecom industry in the country is expected to augment the growth of RPA, owing to the benefits it offers.

Competitive Landscape

The Robotic Process Automation Market is moving towards consolidation as various acquisitions and collaboration of large companies are expected to take place shortly which focuses on innovation.

  • June 2018 – UiPath announced its partnership with Humley, a cognitive assistant platform. This partnership is intended to provide an AI assistant chat solution to UiPath’s customers. Humley would enable a virtual assistant to support RPA management and build voice or chat user interfaces, which would help UiPath’s customers to innovate. Through this partnership, UiPath is creating a robust ecosystem of partners to grow as an RPA provider, with leading partner technologies.

Key Topics Covered:

1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the study



4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Increasing Focus on Automation in the BPO Industry
4.3.2 Functional Benefits of RPA across Various End-user Industries
4.3.3 Adoption of AI and Cloud-Based Solutions for Internal Efficiency Among SMEs
4.4 Market Restraints
4.4.1 Data Security Concerns
4.5 Market Opportunities
4.5.1 Trend Shift toward Cloud-based Solutions
4.6 Industry Attractiveness – Porter’s Five Force Analysis

5.1 By Deployment
5.1.1 On-premises
5.1.2 Cloud
5.2 By Solution
5.2.1 Software
5.2.2 Service
5.3 By Size of Enterprise
5.3.1 Small and Medium Enterprises
5.3.2 Large Enterprises
5.4 By End-user Industry
5.4.1 IT and Telecom
5.4.2 BFSI
5.4.3 Healthcare
5.4.4 Retail
5.4.5 Manufacturing
5.4.6 Other End-user Industries
5.5 Geography

6.1 Company Profiles
6.1.1 Automation Anywhere Inc.
6.1.2 Blue Prism Group PLC
6.1.3 Jacada Inc.
6.1.4 OpenSpan Inc.
6.1.5 UIPath Inc.
6.1.6 Kofax Inc.
6.1.7 Be Informed BV
6.1.8 Datamatics Global Services Limited
6.1.9 BlackLine Inc.
6.1.10 Infosys Limited (Edgeverve Systems Limited)
6.1.11 Contextor SAS
6.1.12 Nice Robotic Automation Ltd.
6.1.13 CGI Group



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Cyber Security as a Service Market – Growing Consumption to Proliferate Growth at 12.5% CAGR Till 2025, Reports TMR

ALBANY, New York, July 17, 2019 /PRNewswire/ — The global cyber security as a service market is expected to expand at an astounding CAGR of 12.5% over the forecast period 2017 to 2025. According to the report, the global cyber security as a service market is expected to reach US$87.59 bn in revenue by 2025.


Cyber security is a need of the hour due to rapid digitalization across the globe aiding the growth of global cyber security as a service market.

The cyber security service providers are spread across the global market to carve their ways and position themselves in the competitive global cyber security as a service market.

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Some of the major players that operate in the global cyber security as a service market include, Transputec Ltd, Choice CyberSecurity, Cloudlock (Cisco), Capgemini, Armor Defense Inc., LookingGlass Cyber Solutions, and Tata Consultancy Services Limited.

During the forecast period many small and medium vendors are expected to enter the cyber security services market due to ever growing threat of cyber-attacks in business enterprises.

On the basis of segmentation, the global cyber security as a service market is divided into endpoint, enterprise, cloud, application, network security. Of these, network security is projected to witness a higher growth over the forecast period. The growth can be attributed to growing demand for cloud based cyber security solutions.

Compliance Violation of Data Promotes Cyber Security as a Service Market

In the world of swift digital transformation where the information is readily available at finger tips, there is a high risk involved in data privacy getting compromised from any nook and corner of the world. Therefore, there is an immediate need to prevent our privacy getting breached by data intruders or hackers. The rising demand for end to end solution to protect the enormous data pushes the staggering growth in the global cyber security as a service market in future.

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Several companies are integrating artificial intelligence and machine learning to brace against rising cyber threats. Many businesses are already leveraging the benefits of artificial intelligence in cyber security.  Cyber security services help in collecting data that may be identified as a potential threat and offer solution to overcome potential breach issues and vulnerability. AI ensures improvement in efficiency and accuracy, resulting in the grand growth of the global cyber security as a service market during the forecast period.

Further, the 24/7 surveillance to detect threats and any compliance violations, counter attacking the hacks right on time to ensure that the businesses do not get hampered is expected to drive the expansion of the global cyber security as a service market.

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Lack of better infrastructure such as complexity of devices and ever changing business regulations and standards may hinder the growth of the global cyber security as a service market. Nevertheless, the rising potential threats for military and governments across the globe are projected to boost the global cyber security as a service market in future.

Asia Pacific Emerging as a Lucrative Region

Asia Pacific is expected to witness an impressive growth in the global cyber security as a service market in the upcoming years. The growth can be attributed to increasing government initiatives to protect the data vulnerability and rising number of startups introducing cyber security solutions.

Europe is also expected to contribute to growth in the global cyber security as a service market. So far, it is North America that is dominating the cyber security service market due to the presence of advanced technology in terms of digitalization and better connected devices. The developed regions such as US and Canada are expected to fuel the growth in North America.

This review is based on the findings of a TMR report titled, “Cyber security as a Service Market (Enterprise Size – Small and Medium Enterprise and Large Enterprise; Service Type – Threat Intelligence & Behavior Analysis, Auditing & Logging, and Monitoring & altering; Security Type – Enterprise Security, Endpoint Security, Cloud Security, Network Security, and Application Security, Platform – Managed and Professional; End-Use – IT and Telecom, Retail, BFSI, Healthcare, Defense/Government, Automotive, Education, and Oil and Gas)) – Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2017 – 2025.”

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The global cyber security as a service market is segmented into:

Enterprise Size

  • Small and Medium Enterprise
  • Large Enterprise


  • Threat Intelligence & Behavior Analysis
  • Auditing & Logging
  • Monitoring & altering


  • Enterprise Security
  • Endpoint Security
  • Cloud Security
  • Network Security
  • Application Security


  • Managed
  • Professional


  • IT and Telecom
  • Retail
  • BFSI
  • Healthcare
  • Defense/Government
  • Automotive
  • Education
  • Oil and Gas

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Petuum Launches Neurobots Product Line, Streamlining the Adoption of Powerful Robotic Process Automation with Artificial Intelligence

TOKYO and SUNNYVALE, Calif., July 17, 2019 /PRNewswire/ — SOFTBANK WORLDPetuum, an artificial intelligence platform company, today announced Petuum Neurobots, a series of intelligent process automation (IPA) tools that provide cutting-edge AI capabilities to robotic process automation (RPA). Neurobots automate business tasks with sophisticated AI functions – including computer vision, speech recognition, natural language processing among others. This enables enterprise customers to quickly and cost-effectively deploy powerful RPA bots with the most advanced AI and machine learning (ML) technology.

“We believe AI technology must be accessible to all companies of all sizes across different industries to achieve better business results. Neurobots are a critical part of Petuum’s larger strategy to provide state-of-the-art AI that will transform RPA bots into intelligent agents that are cognitive, able to learn, think, and collaborate (with human and other bots), and therefore realize fully-operationalized business automation,” said Dr. Eric Xing, founder and CEO of Petuum.

The first Neurobots introduced include Kaibot for interactive conversational applications such as chatbots, Chimebot for automatic speech recognition, Chicbot for fashion applications and Pixbot for image understanding and enhancements.

Neurobots can run as standalone advanced AI functions solving complex business challenges, or easily be added to existing robotic process automation (RPA) to enhance decision making and business processes.

With development led by world leading AI innovators and data scientists at Petuum, Petuum Neurobots are powered by ground-breaking AI and ML techniques and models. All Neurobots can be robustly deployed at high volume and scale, on Petuum’s advanced enterprise AI infrastructure, which already delivers Petuum’s transformative Industrial AI-Pilot and Healthcare AI solutions to worldwide customers.

“We are focused on harnessing the power of AI and RPA to boost our own productivity and offer solutions to customers,” said Yasuyuki Imai, Representative Director & COO and Head of the Enterprise Business Unit at SoftBank Corp. “Since we offer a wide variety of services to enterprise customers, we set up a support desk to respond to inquiries from our enterprise sales force of approximately 3,000 people. With the number of questions received growing rapidly by the day, we are considering the implementation of Petuum’s products on a trial basis to automate and streamline this work process. We will continue to closely collaborate with Petuum, and are confident their Neurobots will be able to transform various industry sectors in Japan.”   

Kaibot is built to understand the human language from the very beginning. With just 100 question and answer pairs, a software engineer or programmer can create a functional chatbot in about an hour that can quickly find and convey the right answers. Because of the unique techniques that Petuum employs, Kaibot is able to support new languages in a matter of days. The use cases are vast for Kaibot and include chatbots, website search box replacement, customer support, tech support, HR, IT and email routing.

Chimebot is Petuum’s unique speech recognition capability that can be integrated in any application that would benefit from voice interaction. One of the biggest challenges with speech recognition technology is the ability to handle the different ambient noise environment, whether in retail stores, airports, sports venues, or elsewhere. Businesses can rapidly customize Chimebot to work in their business environment. Furthermore, it works with any languages.

The fashion-inspired Chicbot empowers retailers to employ advanced AI technology that outperforms other offerings in several ways. First, it has the ability to parse out the clothing someone is wearing in a matter of seconds and knows the exact types of shirts, pants, skirts, shoes, and accessories. Secondly, it gives users the ability to pick types of styles to match up to a particular piece of item the user is wearing.

Chicbot can integrate recommendations based on a number of factors including the in-house fashion department of a particular retailer.  Based on initial field tests, the experience not only delights consumers, but allows the retailer to focus on what’s more critical — providing the best fashion choice for their users instead of having to worry about building their own AI technology.

Pixbot is built with the latest in computer vision techniques and can rapidly classify images. This solution is able to quickly score images according to esthetics and classify them as good vs. bad image quality. What used to take hours of manual effort can now be done in a matter of seconds with high accuracy. Pixbot also can fix issues in pictures with good composition — such as wrong image lighting, color saturation or contrast – quickly and easily, without the need to manually use photo editing tools. Current use cases include real estate, hotels and rental properties, store merchandize placement and sales correlation, and smart cities applications.

Petuum at SoftBank World 2019
Petuum will be demoing all four Neurobots at SoftBank World Booth No. 43. To learn more about Petuum’s new Neurobots product family, please visit

For early access to Petuum Neurobots, email us at  

About Petuum
Petuum is the leading provider of innovative industry solutions using the most advanced artificial intelligence technologies that have been out of reach for most businesses. Petuum’s solutions combine powerful technology, world-class talent and customer domain-specific knowledge to solve complex real-world challenges in a simple, cost-effective manner. These are operationalized on the Petuum Symphony AI platform, which delivers distributed and parallelized data processing as well as machine learning and deep learning workflows, at scale in every environment. To learn more about Petuum and its solutions, please visit

Cameron Crowe


Petuum is the leading provider of innovative industry solutions using the most advanced artificial intelligence technologies that have been out of reach for most businesses. Petuum’s solutions combine powerful technology, world-class talent and customer domain-specific knowledge to solve complex real-world challenges in a simple, cost-effective manner. (PRNewsfoto/Petuum)

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Core Scientific launches the Cloud for Data Scientists™

BELLEVUE, Wash., July 17, 2019 /PRNewswire/ — Core Scientific ( today announced it has launched the Cloud for Data Scientists™ that combines the best-in-class NVIDIA DGX-2 Systems and the latest Flash Blade solutions to deliver an on-demand AI solution for advanced Data Science work. It is a complete solution for deep learning, and includes the Core Scientific aiLab™ for customers to train large models.

Core Scientific - Equipping and enabling Data Scientists to take on the world’s most advanced AI challenges (PRNewsfoto/Core Scientific)

Core Scientific is a leader in Artificial Intelligence and Blockchain technologies, delivering best-in-class infrastructure and software solutions. Core Scientific is a NVIDIA DGX-Ready colocation partner, with a try-and-buy option that let enterprises test drive NVIDIA DGX solutions, and a GPU-as-a-service option that lets businesses access DGX powered compute in an affordable model.

Ian Ferriera, Chief Product Officer for AI at Core Scientific said, “We curated the best-in-class componentry across the hardware and software landscape to build the Cloud for Data Scientists™. Our goal is to empower data scientists to take on the most challenging problems. By partnering with the leaders in GPU hardware and software we are able to deliver on this promise.

The aiLab™ provides Artificial Intelligence and Machine Learning tools built from the ground up specifically for the needs of Data Scientists. Using best-in-class hardware and GPU accelerated software, it is a complete on-demand solution for deep learning customers that frequently train large models and struggle to complete their work on commodity hardware.

Rami Safadi, Chief Data Officer at Jam City, is a customer: “At Jam City, we rely on AI to guide game design and transform our business. Core Scientific’s cloud has enhanced how we utilize data and allowed us to analyze billions of rows of data per day. We have seen a significant increase in speed enabling us to train an entirely new set of winning AI business models.

About Core Scientific,
Core Scientific is a leader in Artificial Intelligence and Blockchain hosting, transaction processing and application development. In an increasingly distributed and connected world, we believe Blockchain and AI will fundamentally change the way information is processed, shared and stored across a range of industries. Led by a team that has a 10+ year AI success story, Core Scientific provides custom hosting solutions at scale.

Core Scientific is pioneering new innovations and best practices in the AI and Blockchain landscape, with advanced capabilities operating infrastructure at scale. Our platform is trusted by large-scale partners around the world to deliver reliable solutions that quickly adapt to dynamic market conditions.

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QuickLogic to Release Second Quarter Fiscal Year 2019 Financial Results on Wednesday, August 7, 2019

SAN JOSE, Calif., July 17, 2019 /PRNewswire/ — QuickLogic Corporation (NASDAQ: QUIK), a developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and Endpoint AI solutions, today announced it has scheduled a conference call to discuss its second quarter fiscal year 2019 financial results on Wednesday, August 7, 2019, at 8:00 a.m. Eastern Time/ 5:00 a.m. Pacific Time

QuickLogic logo (PRNewsfoto/QuickLogic Corporation)

Date:  Wednesday, August 7, 2019
Time:  8:00 a.m. ET/5:00 a.m. PT
Dial-in: Toll Free: 1- 888-204-4368; Toll/International: 1-323-994-2082
Passcode: No passcode needed

Replay: (412) 317-6671
Passcode: 4345466
Duration:  Through August 14, 2019

A webcast of the conference call will be webcast at QuickLogic’s IR Site Events Page and will be available for 12 months.

About QuickLogic

QuickLogic develops low power, multi-core semiconductor platforms and Intellectual Property (IP) for Artificial Intelligence (AI), voice and sensor processing. The solutions include an embedded FPGA IP (eFPGA) for hardware acceleration and pre-processing, and heterogeneous multi-core SoCs that integrate eFPGA with other processors and peripherals. The Analytics Toolkit from the company’s wholly-owned subsidiary, SensiML completes the end-to-end solution with accurate sensor algorithms using AI technology. The full range of platforms, software tools and eFPGA IP enables the practical and efficient adoption of AI, voice and sensor processing across the multitude of mobile, wearable, hearable, consumer, industrial, edge and endpoint IoT applications. For more information, visit and

QuickLogic and logo are registered trademarks and EOS is a trademark of QuickLogic. All other trademarks are the property of their respective holders and should be treated as such.


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Siri Co-founder Tom Gruber Joins as Strategic Advisor

BILBAO, Spain and PALO ALTO, Calif., July 17, 2019 /PRNewswire/ —, one of the leading companies in predictive Digital Assistants and Artificial Intelligence, has announced today that Tom Gruber, co-founder and CTO of Siri, is joining the company as Strategic Advisor. Gruber will work with the team as they develop new AI-based features. As part of the agreement, is the only Digital Assistant company that he is advising.

Xabi Uribe-Etxebarria and Tom Gruber in Urdaibai Biosphere reserve, Basque Country

Gruber’s incorporation implies a significant milestone for the Basque company, as he is considered to be one of the top experts in Artificial Intelligence and digital assistants, worldwide.

“The arrival of Tom Gruber to our company makes it clear that we are at the global forefront, in terms of Artificial Intelligence and digital assistants,” said Xabi Uribe-Etxebarria, founder and CEO of “Sherpa’s mission is to augment and accelerate human potential through the application of personal AI and Tom’s experience and outlook is perfectly aligned with that mission.”

“I visited the company headquarters in Bilbao and I was impressed with their Artificial Intelligence technology. Among the Digital Assistant companies that I have seen, I am most excited by the product and team, that’s why I decided to join them,” added Tom Gruber.

Tom Gruber is a researcher, designer, and entrepreneur, with a focus on technology to augment human intelligence and well being. He was the co-founder and CTO of the team that created Siri, which was acquired by Apple in 2010. At Apple for over eight years, Tom led the Advanced Development Group that designed and prototyped new capabilities for Siri and related products that bring intelligence to the interface.

Throughout his career Gruber has applied Artificial Intelligence technology to support individual and collective human knowledge. He founded companies to support human collaboration and knowledge sharing, and his research at Stanford University laid the groundwork for the exchange of semantic information sharing and the Semantic Web.

Gruber will advise in the development the next of generation of digital assistant features, such as predictive and proactive personalization. offers a white-label digital assistant, in relationships with major automobile manufacturers and telcos. It recently closed a $15 million round of financing to accelerate its growth.

Recently, launched important new products, like the Conversational OS platform, which allows the digital assistant technology to be integrated into any device, and the Predictive and Recommending Engine, through which companies can equip any product with predictive technology.

Additionally, in April, the company presented Sherpa News, a free news application based on Artificial Intelligence, available for Android and iOS, which completes the catalog of mobile applications, alongside Sherpa Assistant, the digital assistant that has been downloaded millions of times since its launch.

About SHERPA.AI, based in Bilbao and Silicon Valley, is a leader in predictive Artificial Intelligence algorithms. Among its products is the digital assistant based on strong algorithms, with conversational and predictive capabilities that allow the assistant to learn from the users and anticipate their needs before they even have to ask.’s technology is also designed to add artificial intelligence to products like automobiles, smart headphones, home speakers, appliances, and other electronic accessories. The company has an agreement with the German brand Porsche, among others. also has a free application available for smartphones and tablets, which has been preinstalled on Samsung smartphones since 2016.

To learn more about

About Xabi Uribe-Etxebarria 
Xabi Uribe-Etxebarria is a serial entrepreneur, founder and CEO of (the predictive digital assistant based on strong Artificial Intelligence algorithms). Xabi has received numerous prizes and recognition, including having been named one of the best innovators under 35 by MIT Technology Review. Xabi was also included on “The 100 of the Year” list, published by the newspaper EL PAÍS, as one of the 100 most influential people in Ibero-America. Xabi is also a mentor at Oxford University’s Saïd Business School.

About Tom Gruber
Tom Gruber is a product designer, entrepreneur, and AI graybeard who uses technology to help people live better lives. He led the team that designed the Siri virtual assistant, and then led the Advanced Development Group at Apple for 8 years. Previously, he led design and technology for pioneering companies in Collective Knowledge Systems and Collaborative Knowledge Management, which harvest the collective contributions of people working together on line. His research in Artificial Intelligence, particularly ontology engineering, helped lay the foundation for the Semantic Web. He has advised companies in collaboration and social networking, semantic information processing, and intelligent user interfaces.

Tom promotes the philosophy of Humanistic AI, which he presented in a popular TED talk. He was a founding board member of the Partnership on AI to Benefit People and Society and supports the Center for Humane Technology. He advises companies and non-profit organizations that use technology to have a positive impact on humanity.


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Hannover Messe Teams with IMC for Focus on IIoT Infrastructure

LONDON, July 17, 2019 /PRNewswire/ — The producers of Hannover Messe, the world’s largest manufacturing exhibition, have just struck a cooperation agreement with the IoT M2M Council (IMC), the largest industry group serving the “Internet of Things” sector exclusively, to cooperate on new exhibitors and conference content. The IMC is mandated to concentrate specifically on infrastructure for Industrial IoT (IIoT) applications at HM, including connectivity, platforms, and edge technology to connect industrial devices.

The first order of business for the partnership will be in promoting the brand new US-based IIOT event from HM organizer Deutsche Messe AG – Digital Industries USA – to take place for the first time in Louisville (KY) on September 11-12 2019 ( The IMC will then produce a pavilion and conference for HM 2020 at the big show in Hannover, featuring dedicated floor space, on-site signage, a conference program, and of course, joint marketing efforts from both organizations.

The HM flagship event annually attracts well over 215,000 visitors and 6,500 exhibitors to Hannover (Germany) in April. For its part, the IMC counts 25,000 enterprise users and OEMs that buy IoT solutions as rank-and-file members, and the group already enjoys an exclusive relationship with the massive Consumer Electronics Show, producing a pavilion and conference concentrating on IoT infrastructure for OEMs in automotive, houseware, medical devices, and more.

“We think foundational alliances with the world’s largest manufacturing event and the world’s largest consumer electronics event position us well to accomplish the IMC mission – accelerate the adoption of IoT technology by bringing buyers and sellers together,” says Volkhard Bregulla, IMC Chairman and VP of Global Manufacturing, Automotive, and IoT at HPE. “Both events attract IoT adopters in large numbers, which makes them unique and very attractive in combination.”

The fast-approaching Digital Industries USA event will include exhibition areas for Analytics/Cloud, Production Efficiency, Additive manufacturing and 3D Printing, Robotics, Artificial Intelligence, and Security, and has already attracted cornerstone exhibitors in Microsoft and Siemens. IMC Sustaining companies will be offered the opportunity to speak at the new event on a variety of subjects.

About the IoT M2M Council
The London-based IMC is the largest trade group dedicated to the global IoT/M2M sector – with over 25,000 IoT buyers as members. Board Member-Companies include Aeris, Amazon Web Services, Digi International, HPE, KORE, MultiTech, Semtech, SIGFOX, Tata Communications, Telit, U-Blox, Verizon, and Vodafone. For more information, visit

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