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Artificial Intelligence

Outlook on the Integrated Workplace Management System Global Market to 2026 – Featuring IBM, Oracle and Accruent Among Others

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Dublin, Nov. 01, 2021 (GLOBE NEWSWIRE) — The “Integrated Workplace Management System (IWMS) Marketplace: IWMS Market by Platforms, Software, and Solutions 2021 – 2026” report has been added to ResearchAndMarkets.com’s offering.

This report provides a multi-dimensional view of the IWMS market including analysis of software solutions and service providers, evaluation of key technologies, assessment of current market trends, and outlook for future business opportunities. The report also provides detailed quantitative analysis and forecasts including:

  • Global and Regional market forecasts for 2021 to 2026
  • AI and IoT embedded solutions market analysis and forecasts
  • Analysis and forecasts by industry vertical, software, and service type

The report also includes specific industry recommendations with respect to Integrated Workplace Management System market solutions including platforms, software, and services.

Select Report Findings:

  • The global IWMS market will reach USD $11.2B by 2026
  • AIoT embedded IWMS market will reach USD $3.5B by 2026
  • North America and APAC will jointly lead the market through the study period
  • More than 52% of all IWMS software will include AI embedded capabilities by 2026
  • The IoT industry will represent up to 13% of the entire IWMS software market by 2026

Integrated Workplace Management Systems (IWMS) are designed to optimize the usage of corporate physical assets such as real estate, buildings, facilities, and infrastructure. Optimization includes everything from resource requirements to workflow and personnel management.

IWMS solutions represent a combination of five separate modules (1) Property Management, (2) Facility and Space Management, (3) Maintenance Management, (4) Sustainability and Energy Management, and (5) Technology Management. Each software module addresses specific functions powered by Internet of Things (IoT) technologies, as well as Artificial Intelligence (AI), 3D Visualization, and Data Analytics. IWMS solutions as a whole typically include software as well as related services such as network and system integration, professional services, predictive analysis, and more.

With IWMS solutions, enterprise organizations are able to optimize asset utilization, energy consumption, technology deployment, building, and infrastructure efficiency, and overall workplace productivity to gain substantial savings in CAPEX and OPEX. Integration of IoT and AI is accelerating the transformation from software-driven to service-centered automation with the added benefit of generating positive returns on assets for enterprises. Deployment of IWMS solutions is anticipated to provide the following benefits for the typical enterprise:

  • Improve energy consumption by 11.5%
  • Improve facility usage efficiency by 39.3%
  • Reduce facility maintenance costs by 15.2%
  • Improve workspace management by up to 43.8%
  • Reduce enterprise asset lifecycle costs by up to 33.5%

We see the confluence of AI and IoT (AIoT) having a particularly large positive impact on the IWMS solutions market. AIoT will make IWMS solutions more effective and efficient as well as ease the transition towards a less human-intensive workforce.

The smart workplace will leverage AIoT for both autonomous decision-making as well as collaborative human-machine oriented cognitive computing approaches. This will manifest in an AIoT embedded IWMS solution market that will reach $3.5 billion globally by 2026.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction
2.1 Defining IWMS
2.1.1 IWMS Market Evolution
2.1.2 IWMS Software Modules
2.1.3 IWMS Software Functionality
2.2 IWMS Enterprise Benefits
2.3 IWMS Market Drivers and Challenges
2.4 IWMS Relationship to Infrastructure and Automation
2.4.1 Role of Software Driven Automation
2.4.2 Role of Robotic Automation Solution
2.4.3 Role of Cloud Computing
2.5 Building Information Management Framework
2.6 IWMS Life Cycle Cost and Saving Analysis
2.6.1 Cost Components
2.6.2 Cost Analysis Metrics
2.6.3 Cost Analysis Structure
2.6.4 Cost Savings Structure
2.7 IWMS Pricing Model Analysis
2.7.1 SaaS Deployment Cost
2.7.2 SaaS Deployment Benefits
2.8 Value Chain Analysis
2.9 IWMS Vendor Leadership Matrix
2.9.1 IWMS Leadership Calculations
2.9.2 IWMS Vendor Ecosystem

3.0 Technology and Application Analysis
3.1 IWMS Product Matrix
3.1.1 Property Management Software
3.1.2 Facility and Space Management Software
3.1.3 Maintenance Management Software
3.2 Technology Management Software
3.2.1 Sustainability and Energy Management
3.3 CMMS (computerized maintenance management systems) vs. EAM (enterprise asset management)
3.4 IWMS Functionality Checklist
3.4.1 Capital Project Management
3.4.2 Property Management
3.4.3 Facility and Space Management
3.4.4 Maintenance Management
3.4.5 Sustainability and Energy Management
3.4.6 Cross-Functional Capabilities
3.5 Artificial Intelligence Technology
3.6 Internet of Things and Data Analytics
3.7 Work Space Augmentation
3.8 Collaborative Workforce Management
3.9 Building Transformation Management
3.10 IWMS Connectivity Protocol
3.11 IWMS Use Case Scenario
3.12 IWMS Deployment Analysis
3.12.1 Cloud Deployment
3.12.2 On Premise Deployment
3.13 SaaS vs. Cloud Computing
3.14 IWMS Technology Direction
3.15 Smart Workplace Technology
3.16 IWMS in Smart Buildings and Workplaces
3.16.1 Role of Smart Building
3.16.2 Smart Infrastructure Ecosystem
3.16.3 Smart City
3.16.4 Smart Dwelling
3.16.5 CRE Benefits
3.16.5.1 Smart Buildings Supports Smart City Initiatives
3.16.5.2 Smart Buildings Facilitate a Smarter Workplace
3.16.5.3 Smart Building Capabilities
3.16.5.4 Environmental Controls
3.16.5.5 Smart HVAC
3.16.5.6 Smart Lighting
3.16.5.7 Smart Windows
3.16.5.8 Safety and Security
3.16.5.9 Entry Management and Personnel Access Control
3.16.5.10 Video Surveillance and other Personnel Detection Solutions
3.16.5.11 Space and Workflow Management
3.16.5.12 Workspace Usage Detection
3.16.5.13 Employee Tracking
3.16.5.14 Asset Tracking

4.0 Company Analysis
4.1 IBM Corporation
4.2 Oracle Corporation
4.3 Trimble Inc.
4.4 Planon Corporation
4.5 Accruent LLC
4.6 Archibus Inc.
4.7 NJW Limited
4.8 Indus Systems Inc.
4.9 FM:Systems Inc.
4.10 iOFFICE Corporation
4.11 Siemens AG
4.12 Crestron Electronics
4.13 Honeywell International
4.14 Schneider Electric
4.15 ATOSS Software AG
4.16 Kronos Incorporated
4.17 Reflexis Systems Inc.
4.18 CONDECO
4.19 WRLD3D
4.20 CBRE
4.21 DXC Technology
4.22 Business Integration Group
4.23 SAP
4.24 MCS Solutions
4.25 MRI Software LLC
4.26 FSI (FM Solutions) Limited
4.27 MPulse Software Inc.
4.28 FacilityONE Technologies LLC
4.29 OfficeSpace Software Inc.
4.30 Visual Lease
4.31 SSG Insight Ltd.
4.32 AwareManager
4.33 Dude Solutions Inc.
4.34 Loc8.com
4.35 Entronix Energy Management
4.36 Wattics Ltd.
4.37 DEXMA Energy Management
4.38 CAFM Explorer
4.39 KeyTech Security Solution
4.40 Trackplan Software ltd.
4.41 Corrigo Incorporated
4.42 ProLease Software

5.0 Market Analysis and Forecast 2021 – 2026
5.1 Global IWMS Market 2021 – 2026
5.2 Global IWMS Market by Segment
5.2.1 Global IWMS Market by Property Management Type
5.2.2 Global IWMS Market by Maintenance Management Type
5.2.3 Global IWMS Market by Facilities and Space Management Type
5.2.4 Global IWMS Market by Sustainability and Energy Management Type
5.2.5 Global IWMS Market by Technology Management Type
5.3 Global IWMS Market by Software and Deployment
5.3.1 Global IWMS SaaS Market by Cloud Type
5.3.2 Global IWMS Market by Professional Service Type
5.4 Global IWMS Market by Business Model
5.5 Global IWMS Market by Enterprise Type
5.6 Global IWMS Market by Building Type
5.7 Global IWMS Market by Construction Type
5.8 Global IWMS Market by Industry Vertical
5.9 Global IWMS Market by AI Software
5.10 Global IWMS Market by IoT Sector and Functionality
5.10.1 IWMS Market by Consumer, Enterprise, Industrial, and Government Sectors
5.10.2 Global IWMS Market by IoT Functionality
5.11 Global IWMS Market by AIoT Solution
5.12 Global IWMS Market by Connectivity Protocol
5.13 Global IWMS Market by Region
5.13.1 North America IWMS Market: Segment, Software, Business Model, Building, Industry Vertical, and Country
5.13.2 Europe IWMS Market: Segment, Software, Business Model, Building, Industry Vertical, and Country
5.13.3 APAC IWMS Market: Segment, Software, Business Model, Building, Industry Vertical, and Country
5.13.4 MEA IWMS Market: Segment, Software, Business Model, Building, Industry Vertical, and Country
5.13.5 Latin America IWMS Market: Segment, Software, Business Model, Building, Industry Vertical, and Country

6.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/mgqba4


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Artificial Intelligence

$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members

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D. Sculley, Kevin Buzzard, Leo de Moura, Lester Mackey and Peter J. Liu appointed to the advisory committee for the Artificial Intelligence Mathematical Olympiad Prize.
LONDON, April 26, 2024 /PRNewswire/ — XTX Markets’ newly created Artificial Intelligence Mathematical Olympiad Prize (‘AIMO Prize’) is a $10mn challenge fund designed to spur the creation of a publicly shared AI model capable of winning a gold medal in the International Mathematical Olympiad (IMO).

XTX Markets is delighted to announce the appointment of five further advisory committee members. This group brings great expertise in machine learning, including D. Sculley, the CEO of Kaggle; Lester Mackey, a Principal Researcher at Microsoft Research and a Macarthur Fellow; and Peter J. Liu, a research scientist at Google DeepMind.
Prolific mathematicians Kevin Buzzard, who achieved a perfect score in the International Mathematical Olympiad, and Leo De Moura who is the Chief Architect for Lean, the automated reasoning tool, also join the advisory group.
They join the existing advisory committee members Terence Tao and Timothy Gowers, both winners of the Fields Medal, as well as Dan Roberts, Geoff Smith and Po-Shen Loh.
The AIMO Advisory Committee will support the development of the AIMO Prize, including advising on appropriate protocols and technical aspects, and designing the various competitions and prizes.
Simon Coyle, Head of Philanthropy at XTX Markets, commented:
“We are thrilled to complete the AIMO Advisory Committee with the appointments of D., Kevin, Leo, Lester and Peter. Together, they have enormous experience in machine learning and automated reasoning and are already bringing expertise and wisdom to the AIMO Prize. We look forward to announcing the winners of the AIMO’s first Progress Prize soon, and then publicly sharing the AI models to support the open and collaborative development of AI.”
Further information on the AIMO Prize
There will be a grand prize of $5mn for the first publicly shared AI model to enter an AIMO approved competition and perform at a standard equivalent to a gold medal in the IMO. There will also be a series of progress prizes, totalling up to $5mn, for publicly shared AI models that achieve key milestones towards the grand prize.
The first AIMO approved competition opened to participants in April 2024 on the Kaggle competition platform. The first progress prize focuses on problems pitched at junior and high-school level maths competitions. There is a total prize pot of $1.048m for the first progress prize, of which at least $254k will be awarded in July 2024, There will be a presentation of progress held in Bath, England in July 2024, as part of the 65th IMO.
For more information on the AIMO Prize visit: https://aimoprize.com/ or the competition page on Kaggle: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize/
Advisory Committee member profiles:
D. Sculley
D. is the CEO at Kaggle. Prior to joining Kaggle, he was a director at Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his career in ML, he has worked on nearly every aspect of machine learning, and has led both product and research teams including those on some of the most challenging business problems. Some of his well-known work involves ML technical debt, ML education, ML robustness, production-critical ML, and ML for scientific applications such as protein design.
Kevin Buzzard
Kevin a professor of pure mathematics at Imperial College London, specialising in algebraic number theory. As well as his research and teaching, he has a wide range of interests, including being Deputy Head of Pure Mathematics, Co-Director of a CDT and the department’s outreach champion. He is currently focusing on formal proof verification, including being an active participant in the Lean community. From October 2024, he will be leading a project to formalise a 21st century proof of Fermat’s Last Theorem. Before joining Imperial, some 20 years ago, he was a Junior Research Fellow at the University of Cambridge, where he had previously been named ‘Senior Wrangler’ (the highest scoring undergraduate mathematician). He was also a participant in the International Mathematical Olympiad, winning gold with a perfect score in 1987. He has been a visitor at the IAS in Princeton, a visiting lecturer at Harvard, has won several prizes both for research and teaching, and has given lectures all over the world.
Leo de Moura
Leo is a Senior Principal Applied Scientist in the Automated Reasoning Group at AWS. In his spare time, he dedicates himself to serving as the Chief Architect of the Lean FRO, a non-profit organization that he proudly co-founded alongside Sebastian Ullrich. He is also honoured to hold a position on the Board of Directors at the Lean FRO, where he actively contributes to its growth and development. Before joining AWS in 2023, he was a Senior Principal Researcher in the RiSE group at Microsoft Research, where he worked for 17 years starting in 2006. Prior to that, he worked as a Computer Scientist at SRI International. His research areas are automated reasoning, theorem proving, decision procedures, SAT and SMT. He is the main architect of several automated reasoning tools: Lean, Z3, Yices 1.0 and SAL. Leo’s work in automated reasoning has been acknowledged with a series of prestigious awards, including the CAV, Haifa, and Herbrand awards, as well as the Programming Languages Software Award by the ACM. Leo’s work has also been reported in the New York Times and many popular science magazines such as Wired, Quanta, and Nature News.
Lester Mackey
Lester Mackey is a Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science. He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University. He co-organized the second place team in the Netflix Prize competition for collaborative filtering; won the Prize4Life ALS disease progression prediction challenge; won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo; and received best paper, outstanding paper, and best student paper awards from the ACM Conference on Programming Language Design and Implementation, the Conference on Neural Information Processing Systems, and the International Conference on Machine Learning. He is a 2023 MacArthur Fellow, a Fellow of the Institute of Mathematical Statistics, an elected member of the COPSS Leadership Academy, and the recipient of the 2023 Ethel Newbold Prize.
Peter J. Liu
Peter J. Liu is a Research Scientist at Google DeepMind in the San Francisco Bay area, doing machine learning research with a specialisation in language models since 2015 starting in the Google Brain team. He has published and served as area chair in top machine learning and NLP conferences such as ICLR, ICML, NEURIPS, ACL and EMNLP. He also has extensive production experience, including launching the first deep learning model for Gmail Anti-Spam, and using neural network models to detect financial fraud for top banks. He has degrees in Mathematics and Computer Science from the University of Toronto.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
 

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Artificial Intelligence

Hikvision redefines urban mobility with AIoT-powered solutions at Intertraffic 2024

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HANGZHOU, China, April 26, 2024 /PRNewswire/ — Hikvision made a significant appearance at Intertraffic Amsterdam, the leading global trade fair for mobility and traffic technology. At the trade event, Hikvision unveiled a suite of traffic, transport, and parking management solutions and products powered by Artificial Intelligence of Things (AIoT) technology, which promised to improve urban mobility, road safety, and operational efficacy.

Elevating urban traffic intelligence with AIoT
One highlight of the Hikvision stand was its intelligent urban traffic solution, which leveraged the power of AIoT to deliver comprehensive real-time monitoring, incident detection, and traffic control. This solution intelligently reshapes traffic dynamics, offering a more responsive and data-driven approach to enhance situational awareness and traffic management. Key innovations in the solution included:
Hikvision’s radar-video fusion camerasThese combine the range perception of radar with the visual perception of video. The 4 MP Radar and Video Vehicle Detector, for example, helps to enhance road safety by providing early warning of potential hazards in challenging situations such as blind spots at intersections and obstacles outside the visual range.Hikvision’s All-In-One Traffic SpotterThis stands out with its multifaceted design incorporating video, radar, and lighting technologies for heightened traffic violation detection. Its streamlined column design facilitates effortless installation.Hikvision’s Radar-Linked PTZ Camera This ensures consistent performance in adverse weather and lightening conditions, and minimizes false alarms with advanced deep-learning algorithms.Innovating parking management
Hikvision also introduced its parking management solutions. These combine extremely precise license plate recognition and intelligent barrier controls incorporating highly accurate radar sensors. This comprehensive approach enhances security, reduces the need for manual intervention, and streamlines traffic flow across parking areas. The Global Shutter CMOS* (GMOS) ANPR camera was a new addition to the lineup. Designed to seamlessly blend in the environment, it is tailored for the task of discreetly capturing license plates at parking facilities that prioritize subtlety.
Advancing public transportation safety and efficiency
Attendees also had the opportunity to explore Hikvision’s latest public transport solutions, integrating AI-driven analytics with advanced video security, on-site voice broadcasting, and centralized management for enhanced onboard security, improved passenger experience, and operational efficiency for buses and taxis. This included the Four-way monitoring system and the Panoramic Auxiliary System, both designed to reduce blind spots and provide high-definition imaging to improve driving safety.
“As ever, we are continually expanding our suite of technologies to enhance traffic safety and efficiency,” said Nick Wu, Project Product Director at Hikvision Europe. “Our commitment lies in minimizing the need for extensive roadside installations by incorporating comprehensive perception and robust AI within unified device frameworks. These innovations automate and streamline every aspect of traffic management, from violation detection to traffic flow monitoring, driving safety, and parking management.”
To find out more about Hikvision’s urban mobility products and solutions, please explore its official website.
Note: CMOS stands for Complementary Metal-Oxide-Semiconductor.
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Artificial Intelligence

London Blockchain Conference Launches the No Future Campaign

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LONDON, April 26, 2024 /PRNewswire/ — The London Blockchain Conference is excited to announce the launch of its ground-breaking, ‘No Future Campaign’. This initiative aims to create a strong narrative surrounding blockchain technology by challenging perceptions and sparking conversations. By creating this platform, the campaign aims to instil a fear of missing out (FOMO) sensation among the audience, positioning the London Blockchain Conference as a gateway to securing a stake in the future and unlocking the potential of blockchain technology.

With a bold and evocative narrative theme, the campaign will initially confront the audience with a jarring reality check of “NO FUTURE” and then resolve the statement “WITHOUT BLOCKCHAIN” to spark curiosity and engagement with the optimistic revelation that blockchain holds the key to a prosperous future.
The ‘No Future Campaign’ started on 17 April 2024 with the London Blockchain Conference creating and executing content on/with media platforms and partnerships:
Wharf Life inserts (17/04/2024) – Print and a digital advert/editorial-sponsored pieces.Animations being released on paid and organic channels in a 3-week campaign.Alex Stein, Conference Director said, “The No Future Campaign is a call for individuals, enterprises, and governments to recognise the importance and role of blockchain in shaping the future. Through the London Blockchain Conference, we aim to educate and inspire attendees to understand and harness the potential of blockchain technology.”
The three-day London Blockchain Conference at the ExCel will bring together politicians, business leaders, and innovators. The conference will be running from 21 – 23 May 2024 and will focus on disruptive and real-world applications of blockchain technology and the impact it is having on politics, emerging technologies, and enterprises.
For more information about the ‘No Future campaign’, visit the London Blockchain Conference website.
About the London Blockchain Conference
NETWORK. LEARN. ENGAGE. 
 At the London Blockchain Conference, we show how Blockchain will change the world and help people see another way to manage data, build scalable on-chain solutions and achieve great things. We do this by creating valuable, insightful, and engaging events that educate and inform, allowing you to connect and network to build strong business relationships. Our conference is the best avenue to see blockchain innovations, ecosystem announcements, product launches, technology updates, keynote speeches, panels, and fireside chats from blockchain leaders. Join us and experience it for yourself. 
 
 

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