Artificial Intelligence
Graph Analytics Market Outlook, 2019-2024 – Rapid Use of Virtualization for Big Data Analytics Drives Opportunity
Dublin, Dec. 20, 2019 (GLOBE NEWSWIRE) — The “Graph Analytics Market by Component, Deployment Mode, Organization Size, Application (Route Optimization and Fraud Detection), Vertical (Healthcare and Life Sciences, Transportation and Logistics, and BFSI), and Region – Global Forecast to 2024” report has been added to ResearchAndMarkets.com’s offering.
The Graph Analytics Market Size is Projected to Grow from USD 584 Million in 2019 to USD 2,522 Million by 2024, at a CAGR of 34%.
The graph analytics market is driven by the growing demand to analyze low-latency queries, advancements in graph analytics by the integration of technologies, such as Artificial Intelligence (AI) and Internet of Things (IoT), and the ability of graph analytics to uncover relationships between data in real-time to drive the growth of the market. However, a lack of technical skills may hinder the growth of the graph analytics market.
Services segment to grow at a higher CAGR during the forecast period
The graph analytics market by component is segmented into solutions and services. The services segment is expected to grow at a rapid pace during the forecast period. The services considered in the report are consulting, system integration, and support and maintenance. The growth of this segment can be attributed to the increasing deployment of graph analytics software tools and platform, which leads to the increasing the demand for pre- and post-deployment services, as these solutions require training due to technical complexities.
Healthcare and life sciences vertical to grow at the highest CAGR during the forecast period
The graph analytics market by vertical has been segmented into Banking, Financial Services and Insurance (BFSI), telecom, retail and eCommerce, healthcare and life sciences, manufacturing, government and public sector, transportation and logistics, and others (media and entertainment, education, and real estate). The health care and life sciences segment is projected to grow at the highest CAGR during the forecast period, owing to the increasing demand for controlling fraud related to health data, achieving better patient experience, and offering personalized treatment in real-time.
APAC to grow at the highest CAGR during the forecast period
Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. Increasing investments by the technology companies in major APAC countries, such as China, Japan, India, South Korea, Jong Kong, and Malaysia; growing digitalization; increasing adoption of advanced AI and big data technologies; and government regulations and initiatives are expected to drive the growth of the market in the APAC region.
Key Players
The report includes the study of the key players offering graph analytics solutions and services. It profiles major vendors in the global graph analytics market. The major vendors are Microsoft (US), IBM (US), AWS (US), Oracle (US), Neo4j (US), TigerGraph (US), Cray (US), DataStax (US), Teradata (US), TIBCO Software (US), Lynx Analytics (Singapore), Linkurious (France), Graphistry (US), Objectivity (US), Dataiku (US), Tom Sawyer Software (US), Kineviz (US), Franz (US), Expero (US), and Cambridge Intelligence (England). It also includes an in-depth competitive analysis of the key players in the graph analytics market, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.
Key Topics Covered
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights
4.1 Attractive Market Opportunities in the Graph Analytics Market
4.2 Market: Top 3 Applications
4.3 Market: By Region
4.4 Market in North America, By Application and Vertical
5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Ability to Uncover Relationships Between Data in Real-Time to Drive the Market
5.2.1.2 Growing Demand to Analyze Low-Latency Queries
5.2.1.3 Advancements in Graph Analytics By Integration of AI, IoT, and Blockchain to Drive the Market
5.2.2 Restraints
5.2.2.1 Lack of Standardization and Programming Ease
5.2.3 Opportunities
5.2.3.1 Growing Need to Identify Complex Patterns From the Data in Motion
5.2.3.2 Rapid use of Virtualization for Big Data Analytics
5.2.4 Challenges
5.2.4.1 Lack of Technical Skills
5.3 Use Cases
5.3.1 Use Case: Scenario 1
5.3.2 Use Case: Scenario 2
5.3.3 Use Case: Scenario 3
5.3.4 Use Case: Scenario 4
5.4 Regulatory Implications
5.4.1 General Data Protection Regulation
5.4.2 Payment Card Industry Data Security Standard
5.4.3 Health Insurance Portability and Accountability Act of 1996
5.4.4 Basel Committee on Banking Supervision 239 Compliance
5.4.5 Sarbanes-Oxley Act of 2002
6 Graph Analytics Market, By Component
6.1 Introduction
6.2 Solutions
6.2.1 Software Tools
6.2.1.1 Software Tools Enable Easy Integration of Graph Analytics in the Existing Business Architecture Leading to the Growth of the Market
6.2.2 Platform
6.2.2.1 Platform to Provide a Complete Foundation for Designing Graph Analytics Solutions in Various Applications
6.3 Services
6.3.1 Consulting
6.3.1.1 Technicalities in Graph Analytics Solutions to Drive the Demand for Consulting Services
6.3.2 System Integration
6.3.2.1 Need for Seamless Deployment of Graph Analytics Solutions to Drive the Adoption of System Integration Services
6.3.3 Support and Maintenance
6.3.3.1 Growing Deployment of Graph Analytics Solutions to Drive the Demand for Support and Maintenance Services
7 Graph Analytics Market, By Deployment Mode
7.1 Introduction
7.2 Cloud
7.2.1 Cost-Effectiveness and Scalability Offered By Cloud-Based Solutions to Drive Its Adoption in the Market
7.3 On-Premises
7.3.1 Data Integrity and Security Offered By On-Premises Solutions to Drive Its Adoption in the Market
8 Market, By Organization Size
8.1 Introduction
8.2 Large Enterprises
8.2.1 Need to Manage Large Volumes of Data Being Generated From Multiple Business Units and Transform It Into Actionable Insights to Drive the Adoption of the Market in Large Enterprises
8.3 Small and Medium-Sized Enterprises
8.3.1 Development of Feasible Cloud-Based Graph Analytics Solutions to Drive the Adoption of the Market in Small and Medium-Sized Enterprises
9 Market, By Application
9.1 Introduction
9.2 Customer Analytics
9.2.1 Growing Need to Understand Customer Buying Behavior and Optimize Customer Engagement to Drive the Adoption of the Graph Analytics Market in the Customer Analytics Application
9.3 Risk and Compliance Management
9.3.1 Demand to Secure Customer Data and Ensure Stringent Regulatory Compliances to Drive the Adoption of Graph Analytics
9.4 Recommendation Engines
9.4.1 Increasing Need to Provide Efficient, Accurate, and Personalized Customer Services for Customer Retention and Enhanced Experiences to Drive the Adoption of Graph Analytics Solutions
9.5 Route Optimization
9.5.1 Ability of Graph Analytics to Identify the Shortest and Safest Routes to Drive Its Adoption in Route Optimization Application
9.6 Fraud Detection
9.6.1 Ability to Detect Real-Time Fraud Patterns to Drive the Adoption of Graph Analytics in Fraud Detection
9.7 Others
10 Graph Analytics Market, By Vertical
10.1 Introduction
10.2 Banking, Financial Services, and Insurance
10.2.1 Growing Focus to Control Frauds, Abide By Compliances, and Enable Data-Based Actionable Insights to Drive the Adoption of the Market in the Banking, Financial Services, and Insurance Vertical
10.3 Retail and Ecommerce
10.3.1 Growing Demand to Enable Real-Time Customer Behavior-Based Experience to Drive the Adoption of Graph Analytics in the Retail and Ecommerce Vertical
10.4 Telecom
10.4.1 Ability of Graph Analytics to Visualize Complex Networks to Drive Its Adoption in the Telecom Vertical
10.5 Healthcare and Life Sciences
10.5.1 Growing Demand to Control Fraud, Achieve Better Patient Experience and Offer Personalized Treatment in Real-Time to Fuel the Growth of Graph Analytics in the Healthcare and Life Sciences Vertical
10.6 Government and Public Sector
10.6.1 Growing Demand for Greater Flexibility, Enhanced Data Security, and Advanced Intelligence to Drive the Market
10.7 Manufacturing
10.7.1 Growing Need to Extend the Lifespan of Factory Equipment, Enhance Product Quality, and Reduce the Risk of Production Delays to Fuel the Growth of the Graph Analytics Application in the Manufacturing Vertical
10.8 Transportation and Logistics
10.8.1 Growing Need to Get Complete and Real-Time Visibility Into Operations for Minimizing the Risks to Drive the Adoption of Graph Analytics in the Transportation and Logistics Vertical
10.9 Others
11 Graph Analytics Market, By Region
11.1 Introduction
11.2 North America
11.2.1 United States
11.2.1.1 Government’s Focus on Innovation and Research to Fuel the Adoption of Graph Analytics Solutions in the United States
11.2.2 Canada
11.2.2.1 Increase in Investments and Research Activities to Drive Graph Analytics Solutions and Services Adoption in Canada
11.3 Europe
11.3.1 United Kingdom
11.3.1.1 Increasing Government Initiatives to Fuel the Adoption of Graph Analytics Solutions in the United Kingdom
11.3.2 Germany
11.3.2.1 Growing Investments By Tech Companies to Provide Opportunities for Development of Graph Analytics Solutions
11.3.3 France
11.3.3.1 Focus on R&D and Heavy Inflow of Capital From Global Players and Investors to Drive the Market Growth in France
11.3.4 Rest of Europe
11.4 Asia Pacific
11.4.1 China
11.4.1.1 Increasing Focus on Integrating Artificial Intelligence and Big Data Technologies to Drive the Adoption of Graph Analytics in China
11.4.2 Japan
11.4.2.1 Existing Market and Already Adopted Graph Technology to Boost the Graph Analytics Market Growth in Japan
11.4.3 Rest of Asia Pacific
11.5 Middle East and Africa
11.5.1 Israel
11.5.1.1 Regulatory Compliance Backed By Presence of Graph Analytics Vendors to Lead the Adoption of Graph Analytics Solutions
11.5.2 United Arab Emirates
11.5.2.1 Advanced Analytics Coupled With Ai Adoption to Drive the Market Growth in the United Arab Emirates
11.5.3 South Africa
11.5.3.1 Increasing Adoption of Graph Analytics Among Enterprises to Boost the Market Growth in South Africa
11.5.4 Rest of Middle East and Africa
11.6 Latin America
11.6.1 Brazil
11.6.1.1 Need to Offer Enhanced Customer Experience and Improved Business Processes to Drive the Market Growth in Brazil
11.6.2 Mexico
11.6.2.1 Investments By Multinational Companies to Drive the Market Growth in Brazil
11.6.3 Rest of Latin America
12 Competitive Landscape
12.1 Overview
12.2 Competitive Leadership Mapping
12.2.1 Visionary Leaders
12.2.2 Innovators
12.2.3 Dynamic Differentiators
12.2.4 Emerging Companies
13 Company Profiles
13.1 Introduction
13.2 Microsoft
13.3 IBM
13.4 AWS
13.5 Oracle
13.6 Neo4j
13.7 TigerGraph
13.8 Cray
13.9 DataStax
13.10 Teradata
13.11 TIBCO Software
13.12 Lynx Analytics
13.13 Linkurious
13.14 Graphistry
13.15 Objectivity
13.16 Dataiku
13.17 Tom Sawyer Software
13.18 Kineviz
13.19 Franz
13.20 Expero
13.21 Cambridge Intelligence
13.22 Right-To-Win
For more information about this report visit https://www.researchandmarkets.com/r/3qyacf
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Artificial Intelligence
Pearson augments nursing content with generative AI study tools to improve nursing education and address shortages
HOBOKEN, N.J., May 17, 2024 /PRNewswire/ — Pearson (FTSE: PSON.L), the world’s leading learning company, today announced the integration of AI study tools into its Nursing: A Concept-Based Approach to Learning series, the only nursing concepts curriculum built from the ground up as a comprehensive, cohesive learning system.
Pearson’s AI study tools combine the power of generative AI technology with trusted Pearson content to provide scaffolded, guided help when students are stuck on homework problems, and personalized explanations, summaries, and practice problems for more efficient studying.
“Integrating AI study tools into our concept-based nursing series enhances the learning experience, giving nursing students and nurse educators the resources they need to efficiently study and master course concepts,” said Anne Fahlgren, GM of Pearson’s professional portfolio. “This technology will help more nursing candidates prepare for and enter the workforce, while also giving nurse educators the means to scale their teaching further, addressing major challenges in nursing education and society.”
The AI study tools beta will be available both in Pearson+ eTextbook and the accompanying MyLab Nursing course in time for Fall 2024. MyLab is an interactive teaching and learning platform, backed by content from Pearson authors. The platform, with integrated eTextbook, allows instructors to design their course, assign homework and assessments, and monitor student progress in real time.
The US is experiencing shortages of nurses and nurse educators. The National Academy of Medicine’s 2021 report on The Future of Nursing: 2020-2030 notes that, in order to provide sufficient care for an aging population over the next decade, a substantial increase in the nursing workforce will be needed that can practice “in community-based settings with diverse populations that face a variety of lived experiences.” The NAM’s report also references hundreds of nursing faculty position vacancies that have contributed to tens of thousands of qualified applicants being turned away from nursing school admission due to the inability to adequately meet student demand.
Concept-based nursing curriculum is designed to focus on key concepts emphasizing a holistic understanding of nursing principles that can be applied across different patient populations, healthcare settings, and situations. This approach strengthens clinical reasoning skills in the course of patient care. Incorporating generative AI tools into Pearson’s concept-based nursing content supports nurse educators in scaling their teaching and students’ ability to study more efficiently.
Dr. Michelle Aebersold, University of Michigan School of Nursing Clinical Professor and contributor to Nursing: A Concept-Based Approach to Learning, said “Technological advancements like generative AI are transforming the nursing profession. The ability to adapt in a rapidly changing environment is a critical healthcare skill, whether it’s in the course of patient care or in preparing our future nurses for the workforce. The ability of the AI study tools to provide a more user-centered, customized experience is a huge benefit for our students. I’m glad they will have access to Pearson’s AI tools that accommodate the variety of ways students learn and provide personalized support in the moment students need it most. This is the future of individualized learning.”
A Fall 2023 survey of students using Pearson’s AI study tools beta showed strong levels of engagement, with 75% of respondents saying the tools were helpful or very helpful to their studies.
The inclusion of generative AI study tools further solidifies Pearson’s dedication to providing the most comprehensive and effective learning and teaching resources for nursing students and nurse educators across the US. Pearson’s AI study tools are already available in more than 30 Pearson Mastering titles and are set to be integrated into more than 40 Pearson+ eTextbooks and MyLab and Mastering titles across math, science, business, and nursing for August of 2024.
Pearson is committed to investing in the responsible application of AI to advance product innovation and enhance the learning experience to educate, certify, and credential students and the workforce.
Pearson product experts are available to demo the AI study tools for members of the media. Please request demonstrations with the media contact below.
About Pearson
At Pearson, our purpose is simple: to add life to a lifetime of learning. We believe that every learning opportunity is a chance for a personal breakthrough. That’s why our c. 18,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world’s leading learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn’t just what we do. It’s who we are. Visit us at pearsonplc.com.
Media [email protected]
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Artificial Intelligence
Brainomix Achieves Breakthrough with FDA Clearance of e-Lung AI Software
Established market leader in stroke AI imaging receives its first FDA clearance in the lung imaging space.With this expanded foundation of AI-driven healthcare solutions, the Oxford-based company remains committed to driving innovation and delivering impactful advancements in imaging biomarkers.OXFORD, England, and CHICAGO, May 17, 2024 /PRNewswire/ — Brainomix, a pioneer in artificial intelligence (AI) imaging solutions to enable precision medicine, is proud to announce the FDA clearance of its latest product, Brainomix 360 e-Lung. Brainomix’s entry into the lung imaging space follows a series of successful clearances and widespread clinical adoption of its Brainomix 360 Stroke platform in both the US and Europe.
The clearance of e-Lung marks a significant milestone in Brainomix’s journey to expand its footprint in medical imaging beyond stroke-related applications and represents a notable step forward in the quest for advanced lung imaging solutions. The company, with its rich academic heritage and record of scientific excellence, will expand its research collaborations in the pulmonology space to yield new insights to inform future iterations of e-Lung and chart a path towards continual improvements for the lung imaging technology.
Dr Deji Adegunsoye, Assistant Professor of Medicine and Scientific Director of the Interstitial Lung Disease Program at University of Chicago Medicine, said: “This is an exciting step for Brainomix, who have a demonstrated track record of developing novel AI-based solutions in stroke and are now applying that expertise to develop innovative tools in the lung space. The preliminary data for e-Lung is impressive and would indicate that we have a promising tool that could help to expedite healthcare delivery and improve clinically meaningful outcomes for patients with lung disease.”
Brainomix recently announced the publication of a new study1 in the prestigious peer-reviewed journal American Journal of Respiratory and Critical Care Medicine (AJRCCM), resulting from a research collaboration with AstraZeneca. The results showed that Brainomix’s proprietary lung imaging biomarkers, which include the weighted reticulovascular score (WRVS), stratified patients at risk of Idiopathic Pulmonary Fibrosis (IPF) progression, outperforming standard measures.
Dr Michalis Papadakis, CEO and Co-Founder of Brainomix, said: “We are harnessing our expertise in AI-powered imaging to develop novel biomarkers in other disease indications where AI can support imaging-based diagnostic and treatment decisions.
“This e-Lung FDA clearance reflects our focus on developing innovative solutions that empower healthcare professionals with cutting-edge tools for sophisticated disease evaluation, enhancing access to treatments that can ultimately work to improve patient outcomes.”
Brainomix will be presenting its latest e-Lung data at the American Thoracic Society (ATS) annual conference in San Diego May 17th – 22nd, including results from research collaborations with Heidelberg University and with Seattle-based Avalyn Pharma.
Am. J. Respir. Crit. Care Med.: 2024 Feb 16 – e-Lung CT Biomarker Stratifies Patients at Risk of IPF Progression in a 52-Week Clinical Trialhttps://www.atsjournals.org/doi/abs/10.1164/rccm.202312-2274LEAbout Brainomix
Brainomix specializes in the creation of AI-powered software solutions to enable precision medicine for better treatment decisions in stroke and lung fibrosis. With origins as a spin-out from the University of Oxford, Brainomix is an expanding commercial-stage company with offices in the UK, Ireland and the USA, and operations in more than 30 countries. A private company, backed by leading healthtech investors, Brainomix has innovated award-winning imaging biomarkers and software solutions that have been clinically adopted in hundreds of hospitals worldwide. Its first product, the Brainomix 360 stroke platform, provides clinicians with the most comprehensive stroke imaging solution, driving increased treatment rates and improving functional independence for patients.
To learn more about Brainomix and its technology visit www.brainomix.com, and follow us on Twitter, LinkedIn and Facebook.
Contacts
Jeff Wyrtzen, Chief Marketing & Business Development [email protected] +44 (0)7927 164210T +44 (0)1865 582730
Media enquiries
Charles ConsultantsSue [email protected] M +44 (0)7968 726585
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Artificial Intelligence
CUBE acquires global regulatory intelligence businesses from Thomson Reuters
LONDON, May 17, 2024 /PRNewswire/ — CUBE, a global leader in Automated Regulatory Intelligence (ARI) and Regulatory Change Management (RCM), announces today its acquisition of the Thomson Reuters Regulatory Intelligence and Oden products and businesses.
The acquisition of these global businesses represents a major step forward in CUBE’s growth plans. It will deliver significant scale across many of the world’s leading and systemically important financial institutions. CUBE’s existing global customer base will be expanded to total approximately 1,000 customers in banking, insurance, asset and investment management, payments and adjacent regulated industries.
CUBE’s global employees will expand to 600, of which close to 250 are highly qualified regulatory subject matter experts, legal and compliance professionals.
Ben Richmond, founder and CEO of CUBE said: “Thomson Reuters is known to be the biggest and best in the industry for providing regulatory expert analysis and subject matter expertise, alongside world-leading journalism and news. The combination of CUBE’s purpose-built AI, with the years of content curated by Thomson Reuters Regulatory Intelligence and Oden expert analysts, will accelerate innovation. Together, we will deliver regulatory transformation capabilities for our global customers that could only have been imagined before.”
Richmond continues: “This combination will provide tremendous scale and depth across CUBE’s regulatory content and technology. It is a significant step toward creating an industry-defining regulatory compliance and risk platform that will benefit all customers and elevate the industry as a whole.”
Through this acquisition, CUBE will provide an expanded and comprehensive selection of specialized regulatory intelligence and regulatory change services, committed to excellence, quality, and highly contextualised and meaningful regulatory content for customers. By combining cutting-edge technology and subject matter expertise at scale CUBE will set a new bar for the industry in regulatory automation and content.
Chris Maguire, General Manager, Risk and Fraud, Corporates, Thomson Reuters said: “It was clear to us that CUBE had established itself as a leading regulatory intelligence provider for global enterprise clients in the financial services and insurance sectors. We wanted to ensure our customers and employees could work with an organisation that would continue to innovate and significantly invest in solutions like Thomson Reuters Regulatory Intelligence and Oden. We are working tirelessly to ensure a seamless and value-enhancing transition for customers and employees, and we are looking forward to working with the CUBE team during this transition.”
Christopher Fielding, Hg, said: “We’re delighted to further extend our market reach, bringing in two high quality and complementary global businesses to the CUBE platform.”
Thomas Martin, Hg, added: “We see these acquisitions as enabling further innovation in the regulatory intelligence and change management sector, leading to strengthened demand for these quality solutions across the globe.”
The terms of the transaction will not be disclosed.
About CUBE
CUBE provides a highly comprehensive and robust source of classified, and meaningful AI-driven regulatory data to power its Automated Regulatory Intelligence (ARI) and Regulatory Change Management (RCM) solutions. CUBE’s purpose-built regulatory technology including its AI engine (RegBrain) and software platform (RegPlatform) tracks, analyses, and monitors laws, rules, and regulations in every country and in every published language to create an always up-to-date regulatory footprint that transforms visibility and compliance capability for customers across the globe.
With operations across Europe, North America, Canada, Asia, and Australia, CUBE serves a diverse and global base of customers and partners including the largest financial institutions in the world who leverage CUBE’s platform to streamline their complex regulatory intelligence and change management processes.
Following the strategic partnership with Hg in March 2024, CUBE announced the acquisition of US-based Reg-Room in May 2024.
About Hg
Hg supports the building of sector-leading enterprises that supply businesses with critical software applications or workflow services, delivering a more automated workplace for their customers.
This industry is characterised by digitisation trends that are in early stages of adoption and are set to transform the workplace for professionals over decades to come. Hg’s support combines deep end-market knowledge with world class operational resources, together providing compelling support to entrepreneurial leaders looking to scale their business – businesses that are well invested, enduring and serve their customers well.
With a vast European network and strong presence across North America, Hg’s 400 employees and around $70 billion in funds under management support a portfolio of around 50 businesses, worth over $140 billion aggregate enterprise value, with over 110,000 employees, consistently growing revenues at more than 20%.
About Regulatory Intelligence
Regulatory Intelligence is a proactive, connected, and comprehensive solution that tracks and analyses regulatory changes within ~2,000 regulatory bodies and rulebooks for more than 20 countries. It enables banking, financial services, and insurance (BFSI) sectors to manage exposure to operational, regulatory, and compliance risk.
About Oden
Oden State Rules and Regulations (SR&R), Oden Policy Terminator/Sentry PT, and OdenTrack provide repositories and automated solutions for complying with state rules and regulations on the provisioning of Personal and Business Insurance in the US.
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