Connect with us
MARE BALTICUM Gaming & TECH Summit 2024

Artificial Intelligence

Global Artificial Intelligence of Things Solutions Market Report 2021-2026: AIoT Solutions Improve Operational Effectiveness and the Value of Machine Data

Published

on

Dublin, Aug. 11, 2021 (GLOBE NEWSWIRE) — The “Artificial Intelligence of Things Solutions by AIoT Market Applications and Services in and Industry Verticals 2021 – 2026” report has been added to ResearchAndMarkets.com’s offering.

This AIoT market report provides an analysis of technologies, leading companies and solutions. The report also provides quantitative analysis including market sizing and forecasts for AIoT infrastructure, services, and specific solutions for the period 2021 through 2026.

The report also provides an assessment of the impact of 5G upon AIoT (and vice versa) as well as blockchain and specific solutions such as Data as a Service, Decisions as a Service, and the market for AIoT in smart cities.

While it is no secret that AI is rapidly becoming integrated into many aspects of ICT, many do not understand the full extent of how it will transform communications, applications, content, and commerce. For example, the use of AI for decision making in IoT and data analytics will be crucial for efficient and effective smart city solutions in terms of decision making.

The convergence of AI and Internet of Things (IoT) technologies and solutions (AIoT) is leading to “thinking” networks and systems that are becoming increasingly more capable of solving a wide range of problems across a diverse number of industry verticals. AI adds value to IoT through machine learning and improved decision making. IoT adds value to AI through connectivity, signaling, and data exchange.

AIoT is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination. With AIoT, AI is embedded into infrastructure components, such as programs, chipsets and edge computing, all interconnected with IoT networks. APIs are then used to extend interoperability between components at the device level, software level and platform level. These units will focus primarily on optimizing system and network operations as well as extracting value from data.

While early AIoT solutions are rather monolithic, it is anticipated that AIoT integration within businesses and industries will ultimately lead to more sophisticated and valuable inter-business and cross-industry solutions. These solutions will focus primarily upon optimizing system and network operations as well as extracting value from industry data through dramatically improved analytics and decision-making processes.

Industry adoption for AIoT gaining momentum. By way of example, Advantech partnered with Momenta Ventures to launch the AIoT Ecosystem Fund, a venture capital fund with a target of $50 million USD and a focus on the digital industry. KC Liu, CEO of Advantech, stated: “Advantech is committed to enabling an intelligent planet. This starts at the industrial edge with early innovators in energy, manufacturing, smart spaces and supply chain management.”

The company launched Advantech Industrial Wireless solutions with Qualcomm, NXP, DEKRA, and E Ink. “We provide AIW industrial grade wireless modules and wireless design-in services to embedded customers. This one-stop shopping service helps customers acquire leading wireless enabled AIoT products and reduce their time to market,” said Andy Lin, Advantech Senior Product Manager.

The fastest-growing 5G AIoT applications involve private networks. Accordingly, the 5GNR market for private wireless in industrial automation will reach $4.97B by 2026. Some of the largest market opportunities will be AIoT market IoTDaaS solutions. We see machine learning in edge computing as the key to realizing the full potential of IoT analytics.

Select Report Findings:

  • The global AIoT market will reach $78.3 by 2026, growing at 39.1% CAGR
  • The global market for IoT data as service solutions will reach $8.89B USD by 2026
  • The AI-enabled edge device market will be the fastest-growing segment within the AIoT
  • AIoT automates data processing systems, converting raw IoT data into useful information
  • Today’s AIoT solutions are the precursor to next-generation AI Decision as a Service (AIDaaS)

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction
2.1 Defining AIoT
2.2 AI in IoT vs. AIoT
2.3 Artificial General Intelligence
2.4 IoT Network and Functional Structure
2.5 Ambient Intelligence and Smart Lifestyles
2.6 Economic and Social Impact
2.7 Enterprise Adoption and Investment
2.8 Market Drivers and Opportunities
2.9 Market Restraints and Challenges
2.10 AIoT Value Chain

3.0 AIoT Technology and Market
3.1 AIoT Market
3.1.1 Equipment and Component
3.1.2 Cloud Equipment and Deployment
3.1.3 3D Sensing Technology
3.1.4 Software and Data Analytics
3.1.5 AIoT Platforms
3.1.6 Deployment and Services
3.2 AIoT Sub-Markets
3.2.1 Supporting Device and Connected Objects
3.2.2 IoT Data as a Service
3.2.3 AI Decisions as a Service
3.2.4 APIs and Interoperability
3.2.5 Smart Objects
3.2.6 Smart City Considerations
3.2.7 Industrial Transformation
3.2.8 Cognitive Computing and Computer Vision
3.2.9 Consumer Appliances
3.2.10 Domain-Specific Network Considerations
3.2.11 3D Sensing Applications
3.2.12 Predictive 3D Design
3.3 AIoT Supporting Technologies
3.3.1 Cognitive Computing
3.3.2 Computer Vision
3.3.3 Machine Learning Capabilities and APIs
3.3.4 Neural Networks
3.3.5 Context-Aware Processing
3.4 AIoT Enabling Technologies and Solutions
3.4.1 Edge Computing
3.4.2 Blockchain Networks
3.4.3 Cloud Technologies
3.4.4 5G Technologies
3.4.5 Digital Twin Technology and Solutions
3.4.6 Smart Machines
3.4.7 Cloud Robotics
3.4.8 Predictive Analytics and Real-Time Processing
3.4.9 Post Event Processing
3.4.10 Haptic Technology

4.0 AIoT Applications Analysis
4.1 Device Accessibility and Security
4.2 Gesture Control and Facial Recognition
4.3 Home Automation
4.4 Wearable Device
4.5 Fleet Management
4.6 Intelligent Robots
4.7 Augmented Reality Market
4.8 Drone Traffic Monitoring
4.9 Real-time Public Safety
4.10 Yield Monitoring and Soil Monitoring Market
4.11 HCM Operation

5.0 Analysis of Important AIoT Companies
5.1 Sharp
5.2 SAS
5.3 DT42
5.4 Chania Tech Giants: Baidu, Alibaba, and Tencent
5.5 Xiaomi Technology
5.6 NVidia
5.7 Intel Corporation
5.8 Qualcomm
5.9 Innodisk
5.10 Gopher Protocol
5.11 Micron Technology
5.12 ShiftPixy
5.13 Uptake
5.14 C3 IoT
5.15 Alluvium
5.16 Arundo Analytics
5.17 Canvass Analytics
5.18 Falkonry
5.19 Interactor
5.20 Google
5.21 Cisco
5.22 IBM Corp.
5.23 Microsoft Corp.
5.24 Apple Inc.
5.25 Salesforce Inc.
5.26 Infineon Technologies AG
5.27 Amazon Inc.
5.28 AB Electrolux
5.29 ABB Ltd.
5.30 AIBrian Inc.
5.31 Analog Devices
5.32 ARM Limited
5.33 Atmel Corporation
5.34 Ayla Networks Inc.
5.35 Brighterion Inc.
5.36 Buddy
5.37 CloudMinds
5.38 Cumulocity GmBH
5.39 Cypress Semiconductor Corp
5.40 Digital Reasoning Systems Inc.
5.41 Echelon Corporation
5.42 Enea AB
5.43 Express Logic Inc.
5.44 Facebook Inc.
5.45 Fujitsu Ltd.
5.46 Gemalto N.V.
5.47 General Electric
5.48 General Vision Inc.
5.49 Graphcore
5.50 H2O.ai
5.51 Haier Group Corporation
5.52 Helium Systems
5.53 Hewlett Packard Enterprise
5.54 Huawei Technologies
5.55 Siemens AG
5.56 SK Telecom
5.57 SoftBank Robotics
5.58 SpaceX
5.59 SparkCognition
5.60 STMicroelectronics
5.61 Symantec Corporation
5.62 Tellmeplus
5.63 Tend.ai
5.64 Tesla
5.65 Texas Instruments
5.66 Thethings.io
5.67 Veros Systems
5.68 Whirlpool Corporation
5.69 Wind River Systems
5.70 Juniper Networks
5.71 Nokia Corporation
5.72 Oracle Corporation
5.73 PTC Corporation
5.74 Losant IoT
5.75 Robert Bosch GmbH
5.76 Pepper
5.77 Terminus
5.78 Tuya Smart

6.0 AIoT Market Analysis and Forecasts 2021 – 2026
6.1 Global AIoT Market Outlook and Forecasts
6.1.1 Aggregate AIoT Market 2021 – 2026
6.1.2 AIoT Market by Infrastructure and Services 2021 – 2026
6.1.3 AIoT Market by AI Technology 2021 – 2026
6.1.4 AIoT Market by Application 2021 – 2026
6.1.5 AIoT in Consumer, Enterprise, Industrial, and Government 2021 – 2026
6.1.6 AIoT Market in Cities, Suburbs, and Rural Areas 2021 – 2026
6.1.7 AIoT in Smart Cities 2021 – 2026
6.1.8 IoT Data as a Service Market 2021 – 2026
6.1.9 AI Decisions as a Service Market 2021 – 2026
6.1.10 Blockchain Support of AIoT 2021 – 2026
6.1.11 AIoT in 5G Networks 2021 – 2026
6.2 Regional AIoT Markets 2021 – 2026
6.3 AIoT Unit Deployment 2021 – 2026

7.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/8ph0bu


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

Lucinity Appoints Udi Nessimyan as President and Chief Revenue Officer

Published

on

lucinity-appoints-udi-nessimyan-as-president-and-chief-revenue-officer

REYKJAVIK, Iceland, April 24, 2024 /PRNewswire/ — Lucinity , a leader in generative AI for financial institutions, is thrilled to announce the appointment of Udi Nessimyan as its new President and Chief Revenue Officer. Udi brings to the role a wealth of experience from his time in AI development at some of the world’s most prestigious tech companies, including Sealed.ai, Oracle, and Amazon Web Services.

Gudmundur Kristjansson, Founder and CEO of Lucinity, expressed his enthusiasm about Udi’s appointment, stating, “Udi’s proven track record of driving growth and innovation aligns perfectly with our core mission at Lucinity. His strategic acumen and deep industry knowledge are invaluable as we continue to develop and deliver AI solutions that enhance the efficiency and effectiveness of our clients’ operations.”
Udi’s career highlights include co-founding and leading Sealed.ai as CEO, where he spearheaded the development of a cutting-edge conversational AI platform that redefined standards in business communication. At Basis Technology, he was instrumental in driving sales and operational strategies for their flagship products, including Rosette and various Cyber Forensics tools, achieving an annual recurring revenue growth rate exceeding 30%.
In his new role, Udi will focus on refining Lucinity’s approach to marketing, sales, and customer onboarding. His expertise will be crucial in ensuring that Lucinity’s innovative AI solutions are effectively communicated and reach the right audiences, thereby maximizing their impact and facilitating the adoption of the technology.
“Udi’s involvement is vital as we strive to make our AI tools more intuitive and impactful,” said Kristjansson. “His insights and leadership will enhance our ability to deliver these technologies efficiently and effectively, aligning them closely with customer needs and industry demands.”
Under Udi’s leadership, Lucinity is set to deepen its commitment to unleashing human efficiency with AI, expanding the reach and impact of its mission to create AI that makes people better at what they do.
Lucinity thanks its partners and stakeholders for their continued support and interest as it embarks on this exciting new chapter.
About Lucinity:
Lucinity is a leader in generative AI technologies for financial institutions, designed to accelerate workforce efficiency. Its platform features Luci, an AI copilot that enhances intelligence gathering, analysis, and decision-making, allowing institutions to streamline operations and reduce costs. As an open, configurable, no-code platform, Lucinity is a crucial tool for enhancing productivity and operational efficiency in the financial sector.
Media Contact
Celina PabloSenior Marketing [email protected] +354 792 4321
Logo: https://mma.prnewswire.com/media/2208676/4669079/Lucinity_Logo.jpg

View original content:https://www.prnewswire.co.uk/news-releases/lucinity-appoints-udi-nessimyan-as-president-and-chief-revenue-officer-302126327.html

Continue Reading

Artificial Intelligence

Resolutions at ASSA ABLOY AB’s Annual General Meeting 24 April 2024

Published

on

resolutions-at-assa-abloy-ab’s-annual-general-meeting-24-april-2024

STOCKHOLM, April 24, 2024 /PRNewswire/ — The Annual General Meeting of ASSA ABLOY AB was held on Wednesday 24 April 2024 in Stockholm, Sweden.

Adoption of income statements and balance sheets and discharge from liability
The Annual General Meeting adopted the parent company’s and the Group’s income statements and balance sheets for the financial year 2023. The members of the Board of Directors and the CEO were discharged from liability for the financial year 2023.
Dividend 
The Annual General Meeting approved the dividend of SEK 5.40 per share proposed by the Board of Directors, to be paid out in two equal installments, the first with the record date Friday 26 April 2024 and the second with the record date Monday 11 November 2024. The first installment is estimated to be paid on Thursday 2 May 2024 and the second installment on Thursday 14 November 2024.
Election of the Board of Directors and auditor
The Annual General Meeting re-elected Johan Hjertonsson, Carl Douglas, Erik Ekudden, Sofia Schörling Högberg, Lena Olving, Victoria Van Camp, Joakim Weidemanis and Susanne Pahlén Åklundh as members of the Board of Directors. Johan Hjertonsson was re-elected as Chairman of the Board of Directors and Carl Douglas was re-elected as Vice Chairman.
The Annual General Meeting re-elected the audit firm Ernst & Young AB as auditor for the time period until the end of the Annual General Meeting 2025.
Remuneration to the Board of Directors and the auditor
The remuneration to the Board of Directors will totally amount to SEK 9,945,000 (excluding remuneration for committee work). Auditor fees shall be paid according to contract.
Resolution on approval of remuneration report
The Annual General Meeting resolved, in accordance with the Board of Directors’ previously published proposal, to approve the Board’s remuneration report.
Resolution regarding authorization to repurchase and transfer Series B shares in the company
The Annual General Meeting resolved, in accordance with the Board of Directors’ previously published proposal, to authorize the Board of Directors to, on one or more occasions, repurchase Series B shares in the company for the period up until the Annual General Meeting 2025. The repurchase shall maximum comprise so many Series B shares that the company’s holding does not at any time exceed 10 per cent of the total number of shares in the company.
Resolution regarding long-term incentive program
The Annual General Meeting resolved, in accordance with the Board of Directors’ previously published proposal, to implement a long-term incentive program for senior executives and key employees within the ASSA ABLOY Group (“LTI 2024”).
Minutes from the Meeting including complete resolutions will be available on the company’s website assaabloy.com/general-meeting.
For more information, please contact:Nico Delvaux, President and CEO, tel. no: +46 8 506 485 82Erik Pieder, CFO and Executive Vice President, tel. no: +46 8 506 485 72Björn Tibell, Head of Investor Relations, tel. no: +46 70 275 67 68
About ASSA ABLOY
The ASSA ABLOY Group is the global leader in access solutions. The Group operates worldwide with 61,000 employees and sales of SEK 141 billion. The Group has leading positions in areas such as efficient door openings, trusted identities and entrance automation. ASSA ABLOY’s innovations enable safe, secure and convenient access to physical and digital places. Every day, we help billions of people experience a more open world. 
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/assa-abloy/r/resolutions-at-assa-abloy-ab-s-annual-general-meeting-24-april-2024,c3966574
The following files are available for download:
https://mb.cision.com/Main/7333/3966574/2754153.pdf
Press release (PDF)
 

View original content:https://www.prnewswire.co.uk/news-releases/resolutions-at-assa-abloy-abs-annual-general-meeting-24-april-2024-302126311.html

Continue Reading

Artificial Intelligence

GSTS selected by Canada-US Seaways to provide Enhanced Analytics and Voyage Information System Predictability with OCIANA®

Published

on

gsts-selected-by-canada-us-seaways-to-provide-enhanced-analytics-and-voyage-information-system-predictability-with-ociana

HALIFAX, NS, April 24, 2024 /PRNewswire/ — Global Spatial Technology Solutions (“GSTS” or “the Company”) announced that it has been awarded a contract for a Voyage Information System (VIS) by St. Lawrence Seaway Management Corporation (SLSMC) and Great Lakes St. Lawrence Seaway (GLS) to enhance joint management of bi-national waterways.

GSTS will provide predictions for VIS through OCIANA®, its proprietary, AI powered SaaS platform. OCIANA® is a cyber-secure and scalable system which has been developed in collaboration with, and is used by, ports, shipping lines, pilotage authorities, civil agencies and border security organisations.
At the heart of OCIANA’s offering is robust, predictive data analytics, powered by novel AI algorithms. OCIANA’s data integration framework will assimilate critical information from the Seaway Traffic Management System and GSTS data streams into a predictability model to accurately forecast vessel ETAs, thus providing improved management of voyages and eventually optimizing lockage schedules.
OCIANA® is a flexible platform designed to incorporate the intricate Locks System Rules, ensuring that all vessel movements adhere to safety and operational guidelines. While focusing on a specific segment of the St. Lawrence, vessel management is impacted by dynamic events stretching from the Atlantic approaches to the Great Lakes. The dynamic Lock Schedule Engine leverages various inputs, employing advanced algorithms to manage vessel traffic and schedule lockage, thus enhancing throughput and reducing delays. Through this innovation, OCIANA® will be well positioned to offer superior optimization capability to all major waterways.
“This project will demonstrate OCIANA’s capability to provide unparalleled planning and optimization in a highly dynamic environment impacted by multiple geographic, operational and environmental factors,” said Richard Kolacz, Chief Executive Officer, GSTS. “This award continues to illustrate the versatility of OCIANA® in facilitating enhancements to maritime safety, security and supply chain resilience globally.”
The Great Lakes Seaway system serves as a key supply chain, moving $66B in goods and supporting 356,000 jobs. Optimizing the flow of goods, in a highly dynamic marine trade environment, is crucial to the economies of Canada and the United States.
OCIANA® is configured to adapt to the evolving demands of maritime traffic management, with provisions for incorporating additional data sources and enhancing the Predictability Engine with emerging technologies such as weather machine learning models. GSTS continues to expand its offering to maritime and logistics stakeholders further enhancing its leading position in maritime digitalization and innovation.
About Global Spatial Technology Solutions (GSTS)Global Spatial Technology Solutions (GSTS) is a global maritime intelligence company delivering solutions to enhance decision making across the maritime and logistics industry. Our predictive solutions are enabled by a range of operational, environmental, vessel and cargo data to provide real-time decision making intelligence for ports, terminal operators, shipping lines, logistics companies, importers, exporters, national and international agencies as well as security organisations.
For more information and to explore opportunities to partner with us, contact us today.
Media Contacts: Danica Martis, GSTS, Email: [email protected]

View original content:https://www.prnewswire.co.uk/news-releases/gsts-selected-by-canada-us-seaways-to-provide-enhanced-analytics-and-voyage-information-system-predictability-with-ociana-302125284.html

Continue Reading
Advertisement
Advertisement

Latest News

Trending