Artificial Intelligence
Global Enterprise Manufacturing Intelligence Markets, 2014-2019 & 2020-2027 with COVID-19 Impact Insights
Dublin, Dec. 31, 2020 (GLOBE NEWSWIRE) — The “Enterprise Manufacturing Intelligence Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2020-2025” report has been added to ResearchAndMarkets.com’s offering.
The global enterprise manufacturing intelligence market grew at a CAGR of around 16% during 2014-2019. Looking forward, the global enterprise manufacturing intelligence market to continue its strong growth during the next five years.
Enterprise manufacturing intelligence (EMI) refers to a software-based application used for providing real-time information regarding various manufacturing processes. The software collects and presents manufacturing-related data, such as production costs, capacity, quality and availability of resources, to users.
The software is often used along with performance, plant and factory management software for data integration, aggregation, contextualization, management and visualization. This assists the businesses in optimizing performance and maximizing outputs. In comparison to the traditionally used systems, novel cloud- and big data-based EMI solutions provide more accurate key performance indicators, process verification and threshold analysis.
Increasing automation in the manufacturing sector, along with the rising need for enhanced operational excellence across industries, is one of the key factors driving the growth of the market. EMI systems are used across various industries, such as food and beverage, oil and gas and pharmaceutical, for monitoring manufacturing processes, minimizing production waste, analyzing manufacturing problems and combining operation data with enterprise resource planning (ERP) applications.
Furthermore, significant growth in the automotive industry is providing a boost to the market. EMI systems are used for supervising the assembly line and overcoming the challenges faced while designing, manufacturing and upgrading the traditional manufacturing processes. Various technological advancements, such as the integration of big data, artificial intelligence (AI) and Internet of Things (IoT)-based tools with EMI solutions, are acting as other growth-inducing factors.
These systems aid in identifying, analyzing and mitigating issues and faults in the manufacturing units and facilitate efficient data sharing between business units.
Key Questions Answered in This Report:
- How has the global enterprise manufacturing intelligence market performed so far and how will it perform in the coming years?
- What has been the impact of COVID-19 on the global enterprise manufacturing intelligence market?
- What are the key regional markets?
- What is the breakup of the market based on the offering?
- What is the breakup of the market based on the deployment type?
- What is the breakup of the market based on the application?
- What is the breakup of the market based on the end use industry?
- What are the various stages in the value chain of the industry?
- What are the key driving factors and challenges in the industry?
- What is the structure of the global enterprise manufacturing intelligence market and who are the key players?
- What is the degree of competition in the industry?
Breakup by Offering:
- Software
- Services
Breakup by Deployment Type:
- Embedded
- Standalone
Breakup by Application:
- Data Integration
- Data Management and Analytics
- Real-Time Visualization
Breakup by End Use Industry:
- Automotive
- Energy and Power
- Consumer Packaged Goods
- Medical Products
- Aerospace and Defense
- Electronics and Semiconductors
- Pharmaceuticals and Biotech
- Oil and Gas
- Food and Beverages
- Chemical
- Others
Breakup by Region:
- North America
- United States
- Canada
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Others
- Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
- Latin America
- Brazil
- Mexico
- Others
- Middle East and Africa
Competitive Landscape:
- ABB Ltd.
- Aspen Technology Inc.
- Dassault Systemes SE
- Epicor Software Corporation (KKR & Co. Inc.)
- Honeywell International Inc.
- Oracle Corporation
- Parsec Automation Corp.
- Qisoft
- Rockwell Automation Inc.
- SAP SE
- Schneider Electric.
For more information about this report visit https://www.researchandmarkets.com/r/3go625
Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.
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Artificial Intelligence
Rainbow Robotics begins pre-orders of Bimanual Mobile Manipulator RB-Y1, the world’s first research platform for AI experts for $80,000 USD
DAEJEON, South Korea, May 9, 2024 /PRNewswire/ — Rainbow Robotics(CEO Jungho Lee), a robot platform specialized company, will begin pre-orders for the Bimanual Mobile Manipulator RB-Y1 from May 8.
During the pre-order period, the research platform is sold for $80,000 USD and the commercial platform is sold for $120,000 USD (VAT excluded). Products are scheduled to be delivered sequentially starting in October.
RB-Y1 is a research platform that has both arms with 7 degrees of freedom per arm for smooth movements similar to human movements. It is a humanoid-like robot with a single leg with 6 degrees of freedom on a mobile platform for a wide work radius. The LiDAR system is adopted for autonomous movement, and a high-performance 3D recognition sensor and master ARM are provided as options to increase usability. In line with the recent trend of the AI era, Rainbow Robotics plans to provide various APIs and options so that AI developers can easily utilize them for research purposes.
Recently, various organizations are introducing humanoid robots. However, they are only used for their own purposes and there is no standard platform for various AI robot researchers. Rainbow Robotics’ RB-Y1 is the first to commercially sell such a research platform.
Unlike existing simple industrial robots, a Bimanual Mobile Manipulator is a humanoid robot that uses both arms and is suitable for advanced manufacturing sites and services. It is a next-generation robot platform that can be used for complex assembly, manufacturing, and collaboration beyond existing simple automation processes.
If you would like to pre-order RB-Y1, please contact us through enquiry page or email us at [email protected].
Meanwhile, Rainbow Robotics will participate as a bronze sponsor in the IEEE International Conference on Robotics and Automation (ICRA 2024), which will be held at Pacifico Yokohama, Japan on May 13.
During the exhibition, various demonstrations will be shown of controlling RB-Y1 with real-time remote operation technology, which links the data arm and simulation system. Additionally, Rainbow Robotics plans to exhibit the small, high-precision collaborative robot RB3-730 and the quadruped robot RBQ-10.
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Artificial Intelligence
AgriBusiness Global™ Announces 2024 Event Line-Up: Connecting Crop Input Leaders Worldwide
WILLOUGHBY, Ohio, May 8, 2024 /PRNewswire/ — AgriBusiness Global, the premier business source for leaders in the global crop input value chain, is thrilled to announce its lineup of events for 2024. For 37 years, AgriBusiness Global has been the go-to resource for quality, trustworthy information and analysis, leading the industry in providing the next generation of crop solutions covering synthetic crop protection, biologicals, and plant health.
In 2024, AgriBusiness Global will host three events, each designed to connect industry leaders, promote innovation, and drive business growth:
AgriBusiness Global℠ LATAM Conference Date: 14-15 MayLocation: Panama City, Panama
Capitalizing on Emerging Technologies in LATAM
The ABG LATAM Conference will bring together industry experts and influencers to discuss the latest trends and developments in crop protection, plant health, biologicals, and ag technology specific to the Latin American region. The Latin-American market offers new opportunities for business growth and partnerships with leading players in the region. Learn More>
AgriBusiness Global℠ Trade Summit Date: 7-8 AugustLocation: Orlando, Florida, USA
The #1 Global Agribusiness Event- Dedicated to Worldwide Networking and New Business Development
The ABG Trade Summit is the trusted forum for advancing development in the rapidly emerging global crop protection, ag tech, plant health, and biological sectors. Attendees can expect to meet with the world’s leading manufacturers, exporters, trading companies, sellers, formulators, and consultants. Trade Summit facilitates global trade by offering educational sessions, a robust exhibit floor, private meeting rooms, and dedicated networking opportunities for the world market to connect, engage, and build business. Learn More>
AgriBusiness Global℠ SE Asia ConferenceDate: 6-7 NovemberLocation: Jakarta, Indonesia
Empowering Southeast Asia’s AgriBusiness for Global Impact
The ABG Southeast Asia Conference, produced in cooperation with the Indonesian CropCare Association, will showcase cutting-edge technologies and innovations in crop production, addressing the unique challenges and opportunities in the Southeast Asian market. Attendees will gain unique insights to prepare for the future and navigate the present in the rapidly evolving agricultural market. Learn More>
“Our events are dynamic platforms for industry leaders to connect, collaborate, and drive innovation,” said Eric Davis, Group Director at AgriBusiness Global. “We are excited to bring together the brightest minds in the industry to explore new ideas, foster partnerships, and shape the future of agriculture.”
For information about the 2024 events and how to participate, visit AgriBusinessGlobal.com.
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Artificial Intelligence
Economic Shifts Ahead as AI Integrates Deeply into Work and Society, Fueling $4.4 Trillion Growth
USA News Group News Commentary
Issued on behalf of Scope AI Corp.
VANCOUVER, May 8, 2024 /PRNewswire/ — USA News Group News Commentary – New developments in AI technology are currently changing the face of work, economies, and society as we know it, according to analysts at McKinsey & Company who are projecting generative AI (gen AI) could add $4.4 trillion annually to the global economy. Between January and March of this year alone, the world’s largest cloud-computing giants have collectively invested $40 billion mostly into data centres equipped to deal with growing AI workloads, according to The Economist. The shift is leading experts to witness how AI companies are leading a transition from Software-as-a-Service to Service-as-Software, turning the table on the very essence of SaaS, representing a $4.6 trillion opportunity. A variety of tech companies have recently advanced the integration of AI, providing swift, safe, and cost-effective solutions for businesses to adopt artificial intelligence technology this past week, including: Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF), Meta Platforms, Inc. (NASDAQ: META), Amazon.com, Inc. (NASDAQ: AMZN), Apple Inc. (NASDAQ: AAPL), and C3.ai, Inc. (NYSE: AI).
The article continued: Seeing the extraordinary speed of AI’s advancements and impacts, combined with surging private- and public-sector demand, is causing regulators in the USA and EU to issue legislation calling for action. Now analysts are trying to determine whether the GenAI boom is setting up to be another bubble, or a legitimate long-term investment opportunity.
SCOPE AI PROVIDES CORPORATE UPDATE
Scope AI Corp. (CSE: SCPE) (OTCQB: SCPCF) (FSE: VN8) (“Scope” or the “Company”) today provided an update on new developments of Scope’s artificial intelligence driven recognition technology called GEM (General Enterprise Machine Learning) system. Built on advanced visual recognition and neural network technology, GEM could advance industries, including Advertising and Gaming, by providing them with new insights and capabilities.
Advertising: GEM aims to enable advertising businesses to personalize ad content based on real-time user behavior analysis. By leveraging visual recognition technology, companies can create highly targeted and engaging ads, maximizing return on ad spend and driving customer engagement to new heights.
Gaming: In the gaming industry, GEM aims to enhance user experiences by customizing gameplay and recommendations. By analyzing player behavior using neural networks, GEM provides customers and developers with invaluable insights with the intention of optimizing game design, increasing user retention, and maximizing revenue potential.
Unveiling Neural Networks: Neural networks are the foundation of GEM’s technology. These complex algorithms mimic the structure and functionality of the human brain, enabling machines to learn from vast amounts of data and make intelligent predictions and decisions. By harnessing the power of neural networks, GEM offers comprehensive capabilities in advanced pattern recognition, data analysis, and decision-making across industries.
“We’re very pleased at how seamless we were able to streamline, enhance, and strengthen our platform with the latest performance and security upgrades made to our infrastructure”, said Sean Prescott, Founder and Non-Executive Chairman of Scope AI. “The next generation of our platform will set us apart in the kind and sensitivity of data we can process and store. It’s a potential game-changer for the industry.”
Scope’s GEM platform includes advanced features designed to enhance user experience and security, all while streamlining operations. Built-in customer support and user management modules allow for seamless assistance, while the native referral system fosters user engagement and growth. Along with the full admin suite for comprehensive analysis and reporting, businesses are fully empowered with unparalleled capabilities and insights.
CONTINUED… Read this and more news for Scope AI at: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
In other industry developments and happenings in the market this week include:
Meta Platforms, Inc. (NASDAQ: META), the parent company of Facebook, Instagram, and WhatsApp, recently teamed up with the Georgia Institute of Technology to create a massive open dataset to advance AI solutions for carbon capture, a technology with promising potential to address global climate concerns. As per the collaboration, Georgia Tech and Meta say their massive database could potentially make it easier and faster to design and implement new direct air capture technologies.
“The open-source database enabled the team to train an AI model that is orders of magnitude faster than existing chemistry simulations,” said Georgia Tech in a press release. “The project, named OpenDAC, could accelerate climate solutions the planet desperately needs.”
Researchers at Meta’s Fundamental AI Research (FAIR) team were already looking for ways to harness their machine-learning prowess to address climate concerns. They ultimately landed on direct air capture as what they believed to be a promising technology, and immediately reached out to Georgia Tech. FAIR’s lead authors generated the database by running quantum chemistry computations on inputs provided by Georgia Tech’s team, using about 400 million CPU hours along the way, and surpassing several hundreds of times more computing than the average academic computing lab can do in a year.
Amazon.com, Inc. (NASDAQ: AMZN) through its global Amazon Web Services (AWS) cloud system subsidiary recently rolled out its new AI system called Q, which it has dubbed as “the most capable generative artificial intelligence (AI)-powered assistant for accelerating software development and leveraging companies’ internal data.”
As well, Amazon also recently launched its Custom Model Import for Bedrock tool, which CEO Andy Jassy called a “sneak big launch as it satisfies a customer request we’ve heard frequently and that nobody has yet met.” The tool allows customers to import custom models they’ve built in Amazon SageMaker into tits Amazon Bedrock platform. Doing so lets enterprises utilize AI investments they’ve already made, while also leveraging Bedrock’s capabilities to scale their models and applications.
“Customers are excited about this, and as more companies find they’re employing a mix of custom-built models along with leveraging existing LLMs,” said Jassey. “The prospect of these two linchpin services in SageMaker and Bedrock working well together is quite appealing.”
Apple Inc. (NASDAQ: AAPL), whose iPhones currently hold the Top 4 (and 5 of the Top 10) best-selling smartphone models by sales, recently reported an all-time revenue record in sales in its most recent financial results. While being seen as potentially late to the game on AI, several reports in recent weeks has suggested that Apple is not only talking to OpenAI and/or Google about powering some of its AI features, it’s also been reportedly spending “millions of dollars a day” training its own AI model, called Ajax.
Now industry experts are saying the iPhone is about to become an “AI phone”, in anticipation of Apple’s upcoming iOS 18. A key anticipated feature of iOS 18 is Apple’s own large language model (LLM), similar to the technology behind AI chatbots like ChatGPT. It’s widely speculated that this Apple-developed LLM will be integrated with Siri, enhancing the capabilities of the iPhone’s digital assistant. As indicated by Bloomberg in late April, it’s suggested that Apple’s LLM will be entirely on-device, meaning the tech will be powered inside by the iPhone’s processor, rather than in the cloud—which may be a bit less powerful and knowledgeable, but with far quicker response times.
C3.ai, Inc. (NYSE: AI), an Enterprise AI application software company, is actively working to enhance the petroleum industry in Houston, through a cooperative effort that allows oil and gas companies to share AI technology and applications with each other. This effort is meant to curb companies from withholding information from competitors, with the goal of collaboration instead.
“We’re building the applications that are, you know, monitoring every device on every offshore oil rig in real time so that they can see with 18 hours in advance before something fails and just shut it down,” said Tom Siebel, CEO of C3.ai. Siebel has explained that AI is at work in oil and gas, diagnosing issues and assisting with maintenance, giving the example of a giant like Shell uses AI to track their half a million valves around the world.
“They can see what’s going on,” said Siebel. “They can predict when a valve is going to be stuck open or closed before it happens, and if one of these valves gets stuck open or closed, things go real bad, real fast, right? And so, they’ve decided to make these applications available to Aramco, Eni, Chevron, Phillips.”
A recent report from Research and Markets predicted that the global AI in oil and gas market is expected to surge to an impressive $5.96 billion by 2028, growing at a CAGR of 13.3%.
Article Source: https://usanewsgroup.com/2024/04/26/the-currency-of-tomorrow-why-investing-in-cutting-edge-ai-recognition-tech-could-mean-big-money/
CONTACT:USA NEWS [email protected](604) 265-2873
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