Artificial Intelligence
Corning’s New EDGE™ Distribution System Accelerates Data Center Cabling Installation by up to 70%
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CORNING, N.Y., March 03, 2023 (GLOBE NEWSWIRE) — Corning Incorporated (NYSE:GLW), a global leader in optical communications innovations, today unveiled its newest connectivity solution, the EDGE™ Distribution System. Designed to meet the ever-growing demand for information processing in the cloud, this pre-engineered data center solution shortens installation time for server cabling by up to 70%, helps address shortages in skilled labor, and provides up to a 55% reduction in carbon footprint by minimizing materials and packaging.
Today’s data centers – the massive storage hubs that support today’s data-rich applications – must expand to process increasing flows of information, especially as machine learning and artificial intelligence become integral to more and more industries. The EDGE Distribution System builds on Corning’s decades of experience developing pre-engineered solutions for the optical communications industry. The system simplifies the deployment of cabling within data centers, all the way to the server racks.
“This is a critical moment for cloud data centers. They need to quickly ramp up capacity in a time of labor constraints. Corning designed the EDGE Distribution System to meet those needs, providing a new path to capacity, speed, and sustainability,” said Michael O’Day, vice president and chief technology officer, Corning Optical Communications.
Initial deployments at hyperscale data centers in the U.S., Europe, and Asia have shown that the EDGE Distribution System can lower total installed cost by up to 20%.
The EDGE Distribution System is:
- Faster: Existing data center solutions can be too costly or take too long to deploy. The EDGE Distribution System allows operators to add capacity more quickly, consolidating dozens of patch cords into a single assembly. This accelerates the installation process by 70%, makes it safer, and reduces reliance on skilled labor. By adding capacity more quickly, operators can also lower total installed cost and shorten the path to revenue recognition.
- More sustainable: Operators can redesign their physical networks, from the leaf switches to the top-of-rack switches, minimizing the use of metal and plastic and reducing the carbon footprint of the optical links. In addition, consolidating all the patch cords into one assembly minimizes the use of cable trays and product packaging. Together, the consolidation of cable and the minimizing of materials and packaging can provide up to a 55% reduction in carbon footprint compared to legacy solutions.
- Customizable: Operators can use Corning’s virtual configuration tools and expert, regionally based technical support to customize the system to their desired fiber counts, number of access points, and connector type.
“The EDGE Distribution System represents why Corning is vital to progress. Customers bring us their toughest technology challenges, and we combine our core technologies with our manufacturing and engineering platforms to create solutions that move entire industries forward,” said O’Day.
Corning experts will highlight the EDGE Distribution System, along with other fiber, cable, and hardware innovations, in Booth 3629 at the 2023 Optical Fiber Communication Conference and Exposition (OFC), March 7-9 in San Diego, California. For more, see our EDGE solutions portal and our media resource center.
Caution Concerning Forward-Looking Statements
The statements contained in this release that are not historical facts or information and contain words such as “will,” “believe,” “anticipate,” “expect,” “intend,” “plan,” “seek,” “see,” “would,” and “target” and similar expressions are forward-looking statements. These forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995 and include estimates and assumptions related to economic, competitive and legislative developments. Such statements relate to future events that by their nature address matters that are, to different degrees, uncertain. These estimates are subject to change and uncertainty which are, in many instances, beyond our control. There can be no assurance that future developments will be in accordance with management’s expectations. Actual results could differ materially from those expected by us, depending on the outcome of various factors. We do not undertake to update forward-looking statements.
Although the Company believes that these forward-looking statements are based upon reasonable assumptions regarding, among other things, current estimates and forecasts, general economic conditions, its knowledge of its business, and key performance indicators that impact the Company, actual results could differ materially. The Company does not undertake to update forward-looking statements. Some of the risks, uncertainties and other factors that could cause actual results to differ materially from those expressed in or implied by the forward-looking statements include, but are not limited to: the duration and severity of the COVID-19 pandemic, and its impact across our businesses on demand, operations and our global supply chains; the effects of acquisitions, dispositions and other similar transactions; global business, financial, economic and political conditions; tariffs and import duties; currency fluctuations between the U.S. dollar and other currencies, primarily the Japanese yen, new Taiwan dollar, euro, Chinese yuan and South Korean won; product demand and industry capacity; competitive products and pricing; availability and costs of critical components and materials; new product development and commercialization; order activity and demand from major customers; the amount and timing of our cash flows and earnings and other conditions, which may affect our ability to pay our quarterly dividend at the planned level or to repurchase shares at planned levels; possible disruption in commercial activities due to terrorist activity, cyber-attack, armed conflict, political or financial instability, natural disasters, or major health concerns; loss of intellectual property due to theft, cyber-attack, or disruption to our information technology infrastructure; unanticipated disruption to our supply chain, equipment, facilities, IT systems or operations; effect of regulatory and legal developments; ability to pace capital spending to anticipated levels of customer demand; rate of technology change; ability to enforce patents and protect intellectual property and trade secrets; adverse litigation; product and components performance issues; retention of key personnel; customer ability, to maintain profitable operations and obtain financing to fund ongoing operations and manufacturing expansions and pay receivables when due; loss of significant customers; changes in tax laws and regulations; the impacts of audits by taxing authorities; the potential impact of legislation, government regulations, and other government action and investigations; and other risks detailed in Corning’s SEC filings.
For a complete listing of risks and other factors, please reference the risk factors and forward-looking statements described in our annual reports on Form 10-K and quarterly reports on Form 10-Q.
Web Disclosure
In accordance with guidance provided by the SEC regarding the use of company websites and social media channels to disclose material information, Corning Incorporated (“Corning”) wishes to notify investors, media, and other interested parties that it uses its website (https://www.corning.com/worldwide/en/about-us/news-events.html) to publish important information about the company, including information that may be deemed material to investors, or supplemental to information contained in this or other press releases. The list of websites and social media channels that the company uses may be updated on Corning’s media and website from time to time. Corning encourages investors, media, and other interested parties to review the information Corning may publish through its website and social media channels as described above, in addition to the company’s SEC filings, press releases, conference calls, and webcasts.
About Corning Incorporated
Corning (www.corning.com) is one of the world’s leading innovators in materials science, with a 170-year track record of life-changing inventions. Corning applies its unparalleled expertise in glass science, ceramic science, and optical physics along with its deep manufacturing and engineering capabilities to develop category-defining products that transform industries and enhance people’s lives. Corning succeeds through sustained investment in RD&E, a unique combination of material and process innovation, and deep, trust-based relationships with customers who are global leaders in their industries. Corning’s capabilities are versatile and synergistic, which allows the company to evolve to meet changing market needs, while also helping our customers capture new opportunities in dynamic industries. Today, Corning’s markets include optical communications, mobile consumer electronics, display, automotive, solar, semiconductors, and life sciences.
Media Relations Contacts:
John Arwood
(828) 320-3249
[email protected]
Meredith Hoing
(202) 774-0799
[email protected]
Investor Relations Contact:
Ann H.S. Nicholson
(607) 974-6716
[email protected]
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Artificial Intelligence
AI In Life Science Analytics Market worth $3.56 Bn by 2031 – Exclusive Report by InsightAce Analytic Pvt. Ltd.
JERSEY CITY, N.J., May 2, 2024 /PRNewswire/ — InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the “Global AI In Life Science Analytics Market – By Component (Software, Hardware, Services), By Deployment (On-premise, Cloud), By Application (Research and Development, Sales and Marketing support, Supply chain analytics), By End-user (Medical Devices, Pharmaceutical, Biotechnology)), Trends, Industry Competition Analysis, Revenue and Forecast To 2031.”
According to the latest research by InsightAce Analytic, the Global AI In Life Science Analytics Market is valued at US$ 1.63 Bn in 2023, and it is expected to reach US$ 3.56 Bn by 2031, with a CAGR of 10.39% during the forecast period of 2024-2031.
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AI in the context of life science analytics refers to the use of AI techniques and tools for the analysis of biological as well as environmental data. With the use of artificial intelligence (AI), life science analytics may make better use of complex healthcare, medical, and scientific information by applying high-level computational algorithms.
The goal of life science analytics is to find useful patterns in massive amounts of medical, clinical, and biological data by applying various data analysis tools and techniques. Because of its superior computing and learning capabilities, AI is indispensable in improving life science analytics. The demand for more accurate and tailored techniques in healthcare and the life sciences, together with the rising availability of data, is projected to propel artificial intelligence in the life science analytics market to new heights as the discipline undergoes more development.
Pharmaceutical spending on complex diseases like cancer is on the rise, which is fueling the expansion of artificial intelligence in the life science analytics industry. However, implementing artificial intelligence (AI) solutions can be prohibitive for smaller organizations, making investing in the necessary technology and training difficult.
List of Significant Players in the AI In Life Science Analytics Market:
IndegeneLexalyticsDatabricksSAS Institute Inc.SisenseIQVIAIBMSorcero AtomwiseNuMediiAiCure LLCNuance CommunicationsAPIXIO, IncInsilico MedicineOther Market PlayersAI In Life Science Analytics Market Report Scope:
Report Attribute
Specifications
Market Size Value In 2023
USD 1.63 Bn
Revenue Forecast In 2031
USD 3.56 Bn
Growth Rate CAGR
CAGR of 10.39 % from 2024 to 2031
Quantitative Units
Representation of revenue in US$ Million and CAGR from 2024 to 2031
Historic Year
2019 to 2023
Forecast Year
2024-2031
Report Coverage
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends
Segments Covered
By Component, Application, Deployment, And End-Use
Regional Scope
North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Market Dynamics:
Drivers-
The growing demand for AI in the life science analytics market is fueled by the exponential growth of data in the life sciences. Conventional methods of data analysis need to be revised in the face of the enormous amounts of biological, clinical, and healthcare data produced by genomics, proteomics, and electronic health records. Artificial intelligence (AI) has arisen as a game-changing solution because of its superior processing capabilities; it can handle and derive valuable insights from these immense and complicated datasets with ease. Incredible possibilities for pattern discovery, disease outcome prediction, and optimization of healthcare and life sciences research await in the mountains of data. Utilizing AI, researchers, healthcare experts, and pharmaceutical businesses can easily integrate and analyze various forms of data, which in turn allows them to uncover useful insights.
Challenges:
The prime challenge is a lack of awareness, a shortage of competent individuals, and a lack of norms and protocol because of lockdowns and isolation in emerging countries, which is predicted to slow the growth of AI in the life science analytics market. The low level of implementation of AI in several healthcare settings. There is no denying AI’s revolutionary promise in healthcare, yet smaller or less tech-savvy healthcare organizations face challenges when trying to integrate these new technologies. In these contexts, adoption is more gradual because of a lack of resources, including both financial commitment and trained staff. Implementing AI systems is complex, necessitating specialized training and infrastructure changes, which adds to the already existing difficulties. In addition, the health and life science sectors were helped by the COVID-19 epidemic. There was a dramatic uptick in the use of artificial intelligence (AI) for life science analytics as a response to the epidemic, which prompted the industry to speed up innovation in the face of such a dire threat. During the pandemic, markets worldwide grew because of AI-driven discoveries, not the months-long and similarly costly traditional methods of vaccine recognition.
Regional Trends:
The North American AI in life science analytics market is anticipated to record a large market share in terms of revenue. It is projected to grow at a high CAGR in the near future due to the high need for AI solutions in almost every field of life science. Artificial intelligence (AI) solutions for biotech, precision medicine, and drug development are in high demand in this country. Besides, Asia Pacific had a remarkable share in the market due to the fact that numerous research firms have ramped up their investments in artificial intelligence software and technology in an effort to boost operational efficiency.
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Recent Developments:
In Feb 2024, Wipro and IBM extended their partnership in order to provide clients with new AI services and support. the Wipro enterprise ai-ready platform was developed by Wipro and IBM in the course of an extensive collaboration. The expanded collaboration merged the technological prowess and industry knowledge of Wipro with IBM’s pioneering hybrid cloud and AI developments. The objective was to develop collaborative solutions that facilitated the progress of integrating, enterprise-ready, dependable, and comprehensive artificial intelligence solutions.In Dec 2022, Quantori formed a partnership with Databricks to expedite data-driven advancements in the fields of life sciences and healthcare. Quantori created solutions using the Databricks Lakehouse Platform to offer immediate insights into real-world data to enhance patient outcomes for researchers and physicians.Segmentation of AI In Life Science Analytics Market-
By Component-
SoftwareHardwareServicesBy Deployment-
On-premiseCloudBy Application-
Research and DevelopmentSales and Marketing supportSupply chain analyticsOthersBy End-user-
Medical DevicesPharmaceuticalBiotechnologyBy Region-
North America-
The USCanadaMexicoEurope-
GermanyThe UKFranceItalySpainRest of EuropeAsia-Pacific-
ChinaJapanIndiaSouth KoreaSouth East AsiaRest of Asia PacificLatin America-
BrazilArgentinaRest of Latin America Middle East & Africa-
GCC CountriesSouth AfricaRest of the Middle East and AfricaFor More Customization @ https://www.insightaceanalytic.com/customisation/2456
Why should buy this report:
To receive a comprehensive analysis of the prospects for global AI In Life Science Analytics marketTo receive industry overview and future trends of global AI In Life Science Analytics marketTo analyze the AI In Life Science Analytics market drivers and challengesTo get information on the AI In Life Science Analytics market size value (US$ Mn) forecast till 2031Major Investments, Mergers & Acquisition in global AI In Life Science Analytics market industryOther Related Reports Published by InsightAce Analytic:
Life Science Tools Market
Big Data in Healthcare Market
Digital Twins in Healthcare Market
eConsent In Healthcare Market
About Us:
InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.
Contact US:InsightAce Analytic Pvt. Ltd.Tel.: +1 551 226 6109Email: [email protected] Visit: www.insightaceanalytic.comFollow Us on LinkedIn @ bit.ly/2tBXsgS
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Artificial Intelligence
Fiix by Rockwell Automation Announces Industry-Leading GenAI Prescriptive Work Orders
Included in Fiix Asset Risk Predictor, Fiix Prescriptive Maintenance transforms asset health predictions into actionable work orders
BRUSSELS, May 2, 2024 /PRNewswire/ — Rockwell Automation, Inc. (NYSE: ROK), the world’s largest company dedicated to industrial automation and digital transformation, is excited to add cutting-edge, generative artificial intelligence (GenAI) prescriptive work orders to Fiix Asset Risk Predictor software, creating the first complete predictive and prescriptive maintenance solution to help manufacturers eliminate unplanned downtime.
Fiix Asset Risk Predictor’s powerful AI can be set up in as little as two weeks and starts predicting asset failures days in advance. With the addition of Fiix Prescriptive Maintenance, it now features GenAI capabilities that transform failure predictions into detailed, actionable work orders for maintenance teams.
Work orders are generated using asset data, completed work orders and trusted maintenance sources. Teams can then review and edit work orders, and instantly push them to any computerized maintenance management system (CMMS) or enterprise asset management (EAM) tool. All data is kept completely private and protected by the highest security standards.
“With Fiix Prescriptive Maintenance, you can turn asset data into the predictions and work orders you need to drastically reduce unplanned downtime, boost operational equipment effectiveness (OEE), and make better use of resources,” says Sandy D’Souza, senior director sales, Americas, Fiix by Rockwell Automation. “It also helps close the maintenance knowledge gap, ensuring everyone has access to detailed asset and work order information, whether they’ve just started their career or have decades of experience at a company.”
By bringing together AI-powered predictive maintenance and actionable GenAI work orders, Fiix Asset Risk Predictor ensures manufacturers see results in the fastest time possible.
Fiix Asset Risk Predictor, now including Fiix Prescriptive Maintenance, can be purchased and used independently from the Fiix CMMS or seamlessly integrated with it. It can also be integrated with any CMMS or EAM your company uses.
About Rockwell Automation
Rockwell Automation, Inc. (NYSE: ROK), is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and more sustainable. Headquartered in Milwaukee, Wisconsin, Rockwell Automation employs approximately 29,000 problem solvers dedicated to our customers in more than 100 countries. To learn more about how we are bringing the Connected Enterprise to life across industrial enterprises, visit www.rockwellautomation.com.
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Artificial Intelligence
Breaking New Ground: Sentiance Introduces First Mobile Crash Detection for Motorcycles
ANTWERP, Belgium, May 2, 2024 /PRNewswire/ — Sentiance, a leader in road safety solutions, today announces a significant advancement in motorcycle safety with the expansion of its mobile Crash Detection technology. Originally developed for cars, this first-of-its-kind solution is now tailored specifically for motorcycles.
Built on state-of-the-art interpretive AI and machine learning models, Sentiance’s Crash Detection technology utilizes smartphone sensors and GPS data to analyze motion data in real-time. This enables the system to detect potential impacts with exceptional accuracy and reliability, addressing the unique dynamics of motorcycles. Unlike other systems, Sentiance’s technology operates directly on-device, ensuring a high level of privacy and data security.
“Today we see around 30% of all road crash deaths globally involving motorcycles, with countries like Thailand having an average of 5,000 motorcyclist deaths recorded annually. Ahead of the game, we’re not just enhancing safety features for those motorcycle riders, we are fundamentally transforming their safety landscape,” said Toon Vanparys, CEO of Sentiance. “This technology is not only a game-changer for individual safety but also addresses a significant need in markets where motorcycles are essential for daily transport and industries like food, grocery, and document delivery.”
This technology is especially crucial in regions like APAC, the Middle East, India, Africa, and South America, to transform road safety standards and make advanced safety tools easily accessible. Sentiance’s scalable and affordable technology ensures that even in cost-sensitive markets, safety, and privacy are not compromised.
By reducing accident response times and improving driving behaviors through data-driven insights, Sentiance’s mobile Crash Detection promises to reduce accident response times, saving lives and improving road conditions globally.
About Sentiance
Sentiance is the leader in motion insights. Our mission is to save lives every day and shape the future of road safety. Unlike telematics companies, we focus on the driver and not the vehicle because most accidents are caused by human error.
With our revolutionary on-device AI technology, companies use insights from The Edge Platform to produce scalable, cost-efficient, and privacy-centric solutions for their customers.
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