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Artificial Intelligence

Insights on the Artificial Intelligence in Supply Chain Management Global Market to 2026 – Integration of AI with Internet of Things Presents Opportunities

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Dublin, March 22, 2021 (GLOBE NEWSWIRE) — The “Artificial Intelligence in Supply Chain Management Market by Technology, Processes, Solutions, Management Function (Automation, Planning and Logistics, Inventory, Risk), Deployment Model, Business Type and Industry Verticals 2021 – 2026” report has been added to ResearchAndMarkets.com’s offering.

This report provides detailed analysis and forecasts for AI in SCM by solution (Platforms, Software, and AI as a Service), solution components (Hardware, Software, Services), management function (Automation, Planning and Logistics, Inventory Management, Fleet Management, Freight Brokerage, Risk Management, and Dispute Resolution), AI technologies (Cognitive Computing, Computer Vision, Context-aware Computing, Natural Language Processing, and Machine Learning), and industry verticals (Aerospace, Automotive, Consumer Goods, Healthcare, Manufacturing, and others).

This is the broadest and detailed report of its type, providing analysis across a wide range of go-to-operational process considerations, such as the need for identity management and real-time location tracking, and market deployment considerations, such as AI type, technologies, platforms, connectivity, IoT integration, and deployment model including AI-as-a-Service (AIaaS). Each aspect evaluated includes forecasts from 2021 to 2026 such as AIaaS by revenue in China. It provides an analysis of AI in SCM globally, regionally, and by country including the top ten countries per region by market share.

The report provides an analysis of leading companies and solutions that are leveraging AI in their supply chains and those they manage on behalf of others, with an evaluation of key strengths and weaknesses of these solutions. It assesses AI in SCM by industry vertical and application such as material movement tracking and drug supply management in manufacturing and healthcare respectively. The report also provides a view into the future of AI in SCM including analysis of performance improvements such as optimization of revenues, supply chain satisfaction, and cost reduction.

Select Report Findings:

  • AI in SCM solutions as a whole will reach $15.5B globally by 2026
  • The Asia Pac region is the largest and fastest-growing for AI in SCM
  • Cloud-based AI-as-a-Service for SCM will exceed $2.3B globally by 2026
  • AI SCM in edge computing for IoT enabled solutions will reach $4.8B by 2026
  • Artificial Intelligence of Things is emerging as a major enabler of SCM optimization
  • Material movement and tracking is the largest sub-segment within AI SCM in the manufacturing
  • Leading vendors covered include SAP, Oracle, JDA, Epicor Software, Infor Global, and others
  • AI-enabled supply chains are over 65% more effective with reduced risk and lower overall costs

Modern supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer. Supply Chain Management (SCM) solutions are typically manifest in software architecture and systems that facilitate the flow of information among different functions within and between enterprise organizations.

Leading SCM solutions catalyze information sharing across organizational units and geographical locations, enabling decision-makers to have an enterprise-wide view of the information needed in a timely, reliable and consistent fashion. Various forms of Artificial Intelligence (AI) are being integrated into SCM solutions to improve everything from process automation to overall decision-making. This includes greater data visibility (static and real-time data) as well as related management information system effectiveness.

In addition to fully automated decision-making, AI systems are also leveraging various forms of cognitive computing to optimize the combined efforts of artificial and human intelligence. For example, AI in SCM is enabling improved supply chain automation through the use of virtual assistants, which are used both internally (within a given enterprise) as well as between supply chain members (e.g. customer-supplier chains). It is anticipated that virtual assistants in SCM will leverage an industry-specific knowledge database as well as company, department, and production-specific learning.

AI-enabled improvements in supply chain member satisfaction causes a positive feedback loop, leading to better overall SCM performance. One of the primary goals is to leverage AI to make supply chain improvements from production to consumption within product-related industries as well as create opportunities for supporting “servitization” of products in a cloud-based “as a service” model. AI will identify opportunities for supply chain members to have greater ownership of “outcomes as a service” and control of overall product/service experience and profitability.

With Internet of Things (IoT) technologies and solutions taking an ever-increasing role in SCM, the inclusion of AI algorithms and software-driven processes with IoT represents a very important opportunity to leverage the Artificial Intelligence of Things (AIoT) in supply chains. More specifically, AIoT solutions leverage the connectivity and communications power of IoT, along with the machine learning and decision-making capabilities of AI, as a means of optimizing SCM by way of data-driven managed services.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction
2.1 Supply Chain Management
2.1.1 Challenges
2.1.2 Opportunities
2.2 AI in SCM
2.2.1 Key AI Technologies for SCM
2.2.2 AI and Technology Integration

3.0 AI in SCM Challenges and Opportunities
3.1 Market Dynamics
3.1.1 Companies with Complex Supply Chains
3.1.2 Logistics Management Companies
3.1.3 SCM Software Solution Companies
3.2 Technology and Solution Opportunities
3.2.1 Leverage Artificial Intelligence (AI)
3.2.1.1 Integrate AI with Existing Processes
3.2.1.2 Integrate AI with Existing Systems
3.2.2 Integrate AI with Internet of Things (IoT)
3.2.2.1 Leverage AIoT Platforms, Software, and Services
3.2.2.2 Leverage Data as a Service Providers
3.3 Implementation Challenges
3.3.1 Management Friction
3.3.2 Legacy Processes and Procedures
3.3.3 Outsource AI SCM Solution vs. Legacy Integration

4.0 Supply Chain Ecosystem Company Analysis
4.1 Vendor Market Share
4.2 Top Vendor Recent Developments
4.3 3M
4.4 Adidas
4.5 Amazon
4.6 Arvato SCM Solutions
4.7 BASF
4.8 Basware
4.9 BMW
4.10 C. H.Robinson
4.11 Cainiao Network (Alibaba)
4.12 Cisco Systems
4.13 ClearMetal
4.14 Coca-Cola Co.
4.15 Colgate-Palmolive
4.16 Coupa Software
4.17 Descartes Systems Group
4.18 Diageo
4.19 E2open
4.20 Epicor Software Corporation
4.21 FedEx
4.22 Fraight AI
4.23 H&M
4.24 HighJump
4.25 Home Depot
4.26 HP Inc.
4.27 IBM
4.28 Inditex
4.29 Infor Global Solutions
4.30 Intel
4.31 JDA
4.32 Johnson & Johnson
4.33 Kimberly-Clark
4.34 L’Oreal
4.35 LLamasoft Inc.
4.36 Logility
4.37 Manhattan Associates
4.38 Micron Technology
4.39 Microsoft
4.40 Nestle
4.41 Nike
4.42 Novo Nordisk
4.43 NVidia
4.44 Oracle
4.45 PepsiCo
4.46 Presenso
4.47 Relex Solution
4.48 Sage
4.49 Samsung Electronics
4.50 SAP
4.51 Schneider Electric
4.52 SCM Solutions Corp.
4.53 Splice Machine
4.54 Starbucks
4.55 Teknowlogi
4.56 Unilever
4.57 Walmart
4.58 Xilinx

5.0 AI in SCM Market Case Studies
5.1 IBM Case Study with the Master Lock Company
5.2 BASF: Supporting smarter supply chain operations with cognitive cloud technology
5.3 Amazon Customer Retention Case Study
5.4 BMW Employs AI for Logistics Processes
5.5 Intelligent Revenue and Supply Chain Management
5.6 AI-Powered Customer Experience
5.7 Rolls Royce uses AI to safely transport its Cargo
5.8 Robots deliver medicine, groceries and packages with AI
5.9 Lineage Logistics Company Case Study

6.0 AI in SCM Market Analysis and Forecasts 2021 – 2026
6.1 AI in SCM Market 2021 – 2026
6.2 AI in SCM by Solution 2021 – 2026
6.2.1 Platforms
6.2.2 Software
6.2.3 AI as a Service
6.3 AI in SCM by Solution Components 2021 – 2026
6.3.1 Hardware
6.3.1.1 Non-IoT Device
6.3.1.2 IoT Embedded Device
6.3.1.2.1 Security Devices
6.3.1.2.2 Surveillance Robots and Drone
6.3.1.2.3 Networking Devices
6.3.1.2.4 Smart Appliances
6.3.1.2.5 Healthcare Device
6.3.1.2.6 Smart Grid Devices
6.3.1.2.7 In-Vehicle Devices
6.3.1.2.8 Energy Management Device
6.3.1.3 Components
6.3.1.3.1 Wearable and Embedded Components
6.3.1.3.1.1 Real-Time Location System (RTLS)
6.3.1.3.1.2 Barcode
6.3.1.3.1.3 Barcode Scanner
6.3.1.3.1.4 Barcode Stickers
6.3.1.3.1.5 RFID
6.3.1.3.1.6 RFID Tags
6.3.1.3.1.7 Sensor
6.3.1.3.2 Processors
6.3.2 Software
6.3.3 Services
6.3.3.1 Professional Services
6.4 AI in SCM by Management Function 2021 – 2026
6.4.1 Automation
6.4.2 Planning and Logistics
6.4.3 Inventory Management
6.4.4 Fleet Management
6.4.5 Virtual Assistance
6.4.6 Freight Brokerage
6.4.7 Risk Management and Dispute Resolution
6.5 AI in SCM by Technology 2021 – 2026
6.5.1 Cognitive Computing
6.5.2 Computer Vision
6.5.3 Context-aware Computing
6.5.4 Natural Language Processing
6.5.5 Predictive Analytics
6.5.6 Machine Learning
6.5.6.1 Reinforcement Learning
6.5.6.2 Supervised Learning
6.5.6.3 Unsupervised Learning
6.5.6.4 Deep Learning
6.6 AI in SCM by Industry Vertical 2021 – 2026
6.6.1 Aerospace and Government
6.6.2 Automotive and Transportation
6.6.3 Retail and Consumer Electronics
6.6.4 Consumer Goods
6.6.5 Healthcare
6.6.6 Manufacturing
6.6.7 Building and Construction
6.6.8 Others
6.7 AI in SCM by Deployment 2021 – 2026
6.7.1 Cloud Deployment
6.8 AI in SCM by AI System 2021 – 2026
6.9 AI in SCM by AI Type 2021 – 2026
6.10 AI in SCM by Connectivity
6.10.1 Non-Telecom Connectivity
6.10.2 Telecom Connectivity
6.10.3 Connectivity Standard
6.10.4 Enterprise
6.11 AI in SCM Market by IoT Edge Network 2021 – 2026
6.12 AI in SCM Analytics Market 2021 – 2026
6.13 AI in SCM Market by Intent Based Networking 2021 – 2026
6.14 AI in SCM Market by Virtualization 2021 – 2026
6.15 AI in SCM Market by 5G Network 2021 – 2026
6.16 AI in SCM Market by Blockchain Network 2021 – 2026
6.17 AI in SCM by Region 2021 – 2026
6.17.1 North America
6.17.2 Asia Pacific
6.17.3 Europe
6.17.4 Middle East and Africa
6.17.5 Latin America
6.18 AI in SCM by Country
6.18.1 Top Ten Country Market Share
6.18.2 USA
6.18.3 China
6.18.4 Canada
6.18.5 Mexico
6.18.6 Japan
6.18.7 UK
6.18.8 Germany
6.18.9 South Korea
6.18.10 France
6.18.11 Russia

7.0 Summary and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/uhqabi


GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

JupiterOne and watchTowr announce partnership to protect business critical assets with broad exposure management capabilities

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SINGAPORE, May 2, 2024 /PRNewswire/ — watchTowr, a leader in external attack surface management (EASM) technology and fuelled by watchTowr Labs, a renowned vulnerability R&D capability, has formed a strategic partnership with JupiterOne. JupiterOne is a leader in cyber asset attack surface management (CAASM) technology. This collaboration enables customers to rapidly prioritize emerging threats within their constantly changing environments, focusing on fixing the most critical risks impacting their business, which enables an end-to-end continuous threat exposure management process (CTEM).

Over 28,000 CVE records were published in 2023; a figure that is expected to increase as attackers shorten the time from known vulnerability to exploit, reducing it from weeks to days. JupiterOne and watchTowr’s integrated solution empowers enterprises to discover their most critical and exploitable vulnerabilities, prioritize them with asset context based on business impact and receive an actionable remediation plan to improve security posture.
This partnership enables a complete continuous threat exposure management program, addressing the full spectrum of cyber risk management. The fully integrated solution provides continuous monitoring and assessment of both internal and external digital assets, allowing for prioritization and effective threat mitigation for a business’s most critical assets. “Our partnership with watchTowr is a game-changer” said Forte. “Combining our data aggregation with real-time asset discovery and automated security testing allows us to offer a unique, all-encompassing approach to exposure management.”
Benjamin Harris, CEO, watchTowr, said, “While the number of reported vulnerabilities continues to rise, the vulnerabilities that matter – in mission-critical, key systems – have exploded at an alarming rate. This reality, combined with the significant shift in speed by attackers to weaponize vulnerabilities – the ability to validate exploitability and prioritise actions based on real business risk has never been more vital. We’re excited to join forces with JupiterOne to give security teams around the globe this much-needed end-to-end capability.”
About JupiterOne:
JupiterOne is a cybersecurity startup delivering powerful software solutions to companies across all industries, providing deep insights to cyber assets and the relationships between, empowering security professionals to have true knowledge and ownership of their attack surfaces.
About watchTowr: 
watchTowr is a global cybersecurity technology company, built by former adversaries.
watchTowr’s world-class External Attack Surface Management and Continuous Automated Red Teaming technology is informed by years of experience compromising some of the world’s most targeted organisations and utilised by Fortune 500, financial services and critical infrastructure providers every day.
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Clarivate Declares Dividend on Mandatory Convertible Preferred Shares

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LONDON, May 1, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT; CLVT PR A) (“Clarivate”), a leading global provider of transformative intelligence, today announced that its board of directors declared a quarterly dividend of $1.3125 per share on its 5.25% Series A Mandatory Convertible Preferred Shares (the “Preferred Shares”), payable in cash on June 3, 2024 to shareholders of record at the close of business on May 15, 2024.

On the mandatory conversion date, which is scheduled to occur on June 3, 2024, each Preferred Share will automatically and mandatorily convert into a number of ordinary shares of Clarivate (and cash in lieu of any fractional ordinary shares) based on the average volume weighted average price (“VWAP”) of Clarivate’s ordinary shares over a 30-trading day period that begins on, and includes, April 18, 2024 and is scheduled to end on, and include, May 30, 2024 (the “valuation period”). If such VWAP is (i) greater than $31.20, then the mandatory conversion rate will be 3.2052 ordinary shares of Clarivate per Preferred Share, (ii) less than or equal to $31.20 but equal to or greater than $26.00, then the mandatory conversion rate will be a number of ordinary shares of Clarivate per Preferred Share equal to $100.00 divided by such VWAP and (iii) less than $26.00, then the mandatory conversion rate will be 3.8462 ordinary shares of Clarivate per Preferred Share. The mandatory conversion rate will be announced following the end of the valuation period. The above description of the terms of the Preferred Shares is not complete and is subject to, and qualified in its entirety by reference to, the “Statement of Rights” for the Preferred Shares, which is filed as Exhibit 3.2 to Clarivate’s annual report on Form 10-K for the fiscal year ended December 31, 2023.
Cautionary Note Regarding Forward-Looking Statements
This communication contains “forward-looking statements” as defined in the Private Securities Litigation Reform Act of 1995. These statements, which express management’s current views concerning future business, events, trends, contingencies, financial performance, or financial condition, appear at various places in this communication and may use words like “aim,” “anticipate,” “assume,” “believe,” “continue,” “could,” “estimate,” “expect,” “forecast,” “future,” “goal,” “intend,” “likely,” “may,” “might,” “plan,” “potential,” “predict,” “project,” “see,” “seek,” “should,” “strategy,” “strive,” “target,” “will,” and “would” and similar expressions, and variations or negatives of these words. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on management’s current beliefs, expectations, and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy, and other future conditions. These forward-looking statements involve a number of risks and uncertainties (some of which are beyond our control) or other assumptions that may cause actual results or performance to be materially different from those expressed or implied by these forward-looking statements. Important factors that could cause our actual results and financial condition to differ materially from those indicated in the forward-looking statements include those factors discussed under the caption “Risk Factors” in our annual report on Form 10-K, along with our other filings with the U.S. Securities and Exchange Commission (“SEC”). However, those factors should not be considered to be a complete statement of all potential risks and uncertainties. Additional risks and uncertainties not known to us or that we currently deem immaterial may also adversely affect our business operations. Forward-looking statements are based only on information currently available to our management and speak only as of the date of this communication. We do not assume any obligation to publicly provide revisions or updates to any forward-looking statements, whether as a result of new information, future developments or otherwise, except as otherwise required by securities and other applicable laws. Please consult our public filings with the SEC or on our website at www.clarivate.com.
About Clarivate
Clarivate™ is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com.
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Artificial Intelligence

CGTN: 3rd CMG Forum in Beijing discusses AI development

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BEIJING, May 1, 2024 /PRNewswire/ — Focusing on the development of AI, the third CMG Forum was held on Monday in Beijing.

Li Shulei, a member of the Political Bureau of the Communist Party of China (CPC) Central Committee and the head of the Publicity Department of the CPC Central Committee, attended the opening of the event and delivered a speech.
Guests at the forum stressed the role of media in promoting the innovative application of AI as well as its governance.
Efforts should also be made to boost the development of AI in creating positive, healthy, diverse and high-quality content, so that AI can become a force for good and benefit mankind, they agreed.
They also called on media to accelerate intelligent transformation and help bridge international exchanges and cooperation on the governance of AI to facilitate its healthy, orderly and safe development.
Hosted by China Media Group (CMG), the forum attracted more than 200 participants from international organizations, media, think tanks and multinational companies.
“Innovation and breakthroughs in science and technology not only guide the development and progress of human civilization, but also bring uncertainty to the changing world,” said Shen Haixiong, vice minister of the Publicity Department of the CPC Central Committee and president of CMG. He called for efforts to jointly create valuable and responsible artificial intelligence.
AI technology is affecting every aspect of our lives. Thomas Bach, president of the International Olympic Committee (IOC), stated in a video speech that CMG has always been a partner of the IOC, bringing the charm of the Olympic Games to hundreds of millions of Chinese viewers. He said the IOC invites CMG to work together for the creation of a future with the application of AI in Olympic sports.
“From ancient inventions such as silk, printing and the compass to modern technological advances such as robotics, telecommunications and green technology, China has always been committed to innovation and creation,” said Daren Tang, director general of the World Intellectual Property Organization (WIPO). He said WIPO pays close attention to ensuring a balance between the opportunities and risks of artificial intelligence and is committed to strengthening cooperation to ensure that artificial intelligence is properly used.
https://news.cgtn.com/news/2024-04-30/3rd-CMG-Forum-in-Beijing-discusses-AI-development-1tdDcXvCexG/p.html

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