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Clarivate Launches Enhanced Search Powered by Generative Artificial Intelligence

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Clarivate Plc (NYSE:CLVT), a global leader in connecting people and organizations to intelligence they can trust to transform their world, today launched its new enhanced search platform leveraging generative artificial intelligence (GenAI). GenAI has the potential to yield efficiencies across the entire Life Sciences & Healthcare value chain. The new Clarivate offering enables drug discovery, preclinical, clinical, regulatory affairs and portfolio strategy teams to interact with multiple complex datasets using natural language to obtain immediate and in-depth insights.

Rapid, accurate insights are challenged by a typical paradigm of disparate, siloed data sources. Many standard databases and companies have focused use cases and the ability to track scientific innovation from start to finish is complex, costly, and inefficient. The new Clarivate enhanced search platform addresses these obstacles by pairing billions of proprietary data points and over 100 years of deep industry and domain expertise with GenAI capabilities. By integrating vast content sets and analytics from solutions, including Cortellis Competitive Intelligence™, Disease Landscape & Forecast™ and Drug Timelines and Success Rates (DTSR) into the new interactive platform, users can access harmonized data featuring precise, concise and immediate answers to the life science industry’s most urgent questions.

Researchers can access and interrogate epidemiologic, scientific, clinical, commercial and research data within one platform to overcome barriers to enabling evidence-based decisions and complex analyses. Derived from advanced GenAI and data science techniques that algorithmically process high-value curated content, users can identify companies developing breakthrough therapies, anticipate medical advancements and understand market dynamics, essential for the advancement of bringing new therapies to market. Additional features and functionalities include among others:

  • Natural Language: Users can input questions using natural language for an effortless search experience.
  • Multi–faceted insights: Leverage proprietary Knowledge Graph and non-relational databases combined with patent pending traditional and GenAI data science methods to integrate systems and unlock data connections.
  • Intelligent Summarization: Users can access clear and concise summarizations featuring the most relevant insights leveraging its built-in knowledgebase of life sciences and healthcare.
  • Clear results: Data results are highlighted in dedicated sections for ease of interpretation, analysis and review of insights, avoiding hallucinations common to GenAI models.
  • Continuous learning: Customers can benefit from adaptive learning and constant improvement for consistently accurate results. On-going user feedback, advancements in features and algorithms, and the continuous integration of datasets will allow for the delivery of new and unique insights.

The beta version of the enhanced search platform has been launched with select customers to optimize the platform for use by broader audiences by discovering new use cases, exploring UI / UX capabilities, obtaining and incorporating feedback and previewing new features and functionality. Commercialization is anticipated later this year, with plans to extend the knowledge base by integrating additional datasets from solutions, including: Cortellis Clinical Trials Intelligence™, Cortellis Deals Intelligence™, OFF-X™ Safety Intelligence, Cortellis Drug Discovery Intelligence™, Cortellis Regulatory Intelligence™ and others. Clarivate will continue to evolve the platform with technical enhancements, heightened search capabilities, data mapping and AI model updates in the near term.

Henry Levy, President, Life Sciences and Healthcare, Clarivate, said: “There is a growing need for data to support complex analyses and evidence-based decisions in the life sciences. As an early adopter of AI technology, Clarivate utilizes billions of proprietary best-in-class data assets to enable researchers to optimize treatment development from early-stage drug discovery through commercialization. The new Clarivate GenAI enhanced search platform utilizes human expertise, billions of proprietary best-in-class expertly curated and interconnected data assets, and advanced AI models to enhance decision-making, advance research, and boost clinical and commercial success across the entire drug, device and medical technology lifecycle.”

As a provider of best-in-class data integration/deidentified patient solutions and a premier end-to-end research intelligence solution, Clarivate is committed to comprehensively supporting customers across the entire drug, device or diagnostic product lifecycle to help them advance human health. Our continuing investment in artificial intelligence (AI) and machine learning (ML) supports the industry’s ever-growing need to engage patients, physicians and payers in new ways, navigate barriers to access and adherence, and address patient unmet needs.

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Industrial Robotics Market is Slated to Transcend USD 44.87 Billion Valuation by 2031-end, Automation of Industrial Operations to Promote Market Expansion | SkyQuest Technology

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industrial-robotics-market-is-slated-to-transcend-usd-44.87-billion-valuation-by-2031-end,-automation-of-industrial-operations-to-promote-market-expansion-|-skyquest-technology

WESTFORD, Mass., July 12, 2024 /PRNewswire/ — According to SkyQuest, the global Industrial Robotics Market size was valued at USD 14.7 Billion in 2022 and is poised to grow from USD 16.6 Billion in 2023 to USD 44.87 Billion by 2031, at a CAGR of 13.2% during the forecast period (2024-2031).

Increasing use of advanced digital technologies in industries to improve the productivity of industrial operations is slated to bolster the demand for industrial robotics. The development of novel industrial robots and the rising acceptance of the same in different industry verticals will also favor industrial robotics market development in the future. The global industrial robotics market is segmented into type, payload, component, application, end use, and region.
Download a detailed overview:https://www.skyquestt.com/sample-request/industrial-robotics-market
Industrial Robotics Market Overview:
Report Coverage
Details
Market Revenue in 2023
$ 16.6 billion
Estimated Value by 2031
$ 44.87 billion
Growth Rate
Poised to grow at a CAGR of 13.2%
Forecast Period
2024–2031
Forecast Units
Value (USD Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
Type, Payload, Component, Application and End Use,
Geographies Covered
North America, Europe, Asia Pacific, Middle East & Africa, Latin America
Report Highlights
Updated financial information / product portfolio of players
Key Market Opportunities
Rising adoption of automation in industrial applications
Key Market Drivers
Advancements in robotics technologies and increasing acceptance of robots in industrial settings
Segments covered in Industrial Robotics Market are as follows:
TypeTraditional Robots (Articulated Robots, Cartesian Robots, SCARA Robots, Parallel Robots, Cylindrical Robots, Others), and Collaborative RobotsPayloadUp to 16.00 kg, 16.01–60.00 kg, 60.01–225.00 kg, and More than 225.00 kgComponentRobot Arm, Robot Accessories, Additional Robotic Hardware, System Engineering, and Software & ProgrammingApplicationHandlings, Assembling & Disassembling, Welding & Soldering, Clean Room, Dispensing, Processing, and OthersEnd-UseAutomotive, Electrical & Electronics, Metals & Machinery, Plastics, Rubbers, & Chemicals, Food & Beverages, Precision Engineering & Optics, Pharmaceuticals & Cosmetics, Oil & Gas, and OthersRequest Free Customization of this report:https://www.skyquestt.com/speak-with-analyst/industrial-robotics-market
Efficient Material Handling Demands are Estimated to Govern the Global Sales of Industrial Robotics
Increasing demand for better productivity and operational efficiency in industries has resulted in the adoption of better material handling technologies. Industrial robots are highly efficient and adaptable to multiple handling operations, which is why they are being extensively used for this application. Any company investing in this segment is projected to get lucrative returns on their investments in the long run.
Demand for Better Human-Machine Interactions to Drive Use of Collaborative Industrial Robots
Collaborative robots have been gaining massive popularity around the world owing to their better human-machine interaction capabilities. Industrial robotics providers should focus on utilizing artificial intelligence and machine learning technologies to maximize the efficiency of their offerings. Growing emphasis on worker safety is also a key factor that is projected to bolster the demand for collaborative industrial robotics across the forecast period.
View report summary and Table of Contents (TOC):https://www.skyquestt.com/report/industrial-robotics-market
Industrial Robots are Highly Popular Among Electronics and Electrical Industry for Multiple Operations
Rapidly surging demand for electronics and electrical components around the world owing to the adoption of digital technologies is driving the demand for industrial robotics. Almost all aspects of electronics manufacturing are being automated, which is why industrial robotics is projected to shine bright in the electronics and electrical industry.
Industries dealing with plastics, chemicals, and rubber are also projected to witness a robust hike in demand for industrial robotics. The automotive industry is also a key end user of industrial robotics and will be a key segment that most companies target in the future.  The use of industrial robots to perform hazardous and dangerous tasks is projected to increase as emphasis on worker safety rises.
Increasing digital transformation of multiple industry verticals will also create a highly opportune setting for industrial robotics companies no matter what industry they choose to target. Industry 4.0 trend and growing preference for automation are also estimated to uplift the sales of industrial robotics over the coming years.
Related Report:
Robotics Market
Service Robotics Market
Delivery Robots Market
Warehouse Robotics Market
Smart Robots Market
About Us:
SkyQuest is an IP focused Research and Investment Bank and Accelerator of Technology and assets. We provide access to technologies, markets and finance across sectors viz. Life Sciences, CleanTech, AgriTech, NanoTech and Information & Communication Technology.
We work closely with innovators, inventors, innovation seekers, entrepreneurs, companies and investors alike in leveraging external sources of R&D. Moreover, we help them in optimizing the economic potential of their intellectual assets. Our experiences with innovation management and commercialization has expanded our reach across North America, Europe, ASEAN and Asia Pacific.
Contact:Mr. Jagraj SinghSkyQuest Technology1 Apache Way,Westford,Massachusetts 01886USA (+1) 351-333-4748Email: [email protected] Our Website: https://www.skyquestt.com/
Logo: https://mma.prnewswire.com/media/2446095/SkyQuest_Logo.jpg
 

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Artificial Intelligence (AI) in Manufacturing Market Valued at USD 64.63 Billion by 2031 | SkyQuest Technology

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artificial-intelligence-(ai)-in-manufacturing-market-valued-at-usd-64.63-billion-by-2031-|-skyquest-technology

WESTFORD, Mass., July 12, 2024 /PRNewswire/ — According to SkyQuest, the global Artificial Intelligence (AI) in Manufacturing Market size was valued at USD 2.58 Billion in 2022 and is expected to grow from USD 3.20 Billion in 2023 to reach USD 64.63 Billion by 2031, at a CAGR of 45.6% during the forecast period (2024-2031).

Artificial intelligence helps boost factory productivity and efficiency in manufacturing industry and is therefore getting adopted at a rapid pace. The objective of optimizing manufacturing processes and the increasing adoption of Industry 4.0 is driving the demand for AI in manufacturing. The global market for AI in manufacturing is categorized by components, technology, applications, end-users, and regions.
Download a detailed overview:https://www.skyquestt.com/sample-request/artificial-intelligence-in-manufacturing-market
Artificial Intelligence (AI) In Manufacturing Market Overview:
Report Coverage
Details
Market Revenue in 2023
$ 3.20 Billion
Estimated Value by 2031
$ 64.63 Billion
Growth Rate
Poised to grow at a CAGR of 45.6%
Forecast Period
2024–2031
Forecast Units
Value (USD Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
Component, Device Type and End User
Geographies Covered
North America, Europe, Asia Pacific, Middle East & Africa, Latin America
Report Highlights
Development of new AI in manufacturing hardware and software solutions remains prime focus of companies
Key Market Opportunities
Demand for predictive maintenance slated to create new business scope
Key Market Drivers
Computer vision and machine learning technologies to improve automation capabilities drive market growth
Segments covered in Artificial Intelligence (AI) In Manufacturing Market are as follows:
ComponentNetwork, ModuleDevice TypeWearables, Tracker, Smart Lighting, Smart Parking, Alarm & Detector, OthersEnd-UserAutomotive Industry, Infrastructure, Healthcare, Manufacturing Industry, OthersRequest Free Customization of this report:https://www.skyquestt.com/speak-with-analyst/artificial-intelligence-in-manufacturing-market
Hardware Plays a Vital Role in Adoption of Artificial Intelligence (AI) in Manufacturing
Legacy infrastructure and systems of manufacturing facilities are not compatible with advanced artificial intelligence technology thereby driving the demand for novel hardware solutions. This sub-segment covers components such as sensors, devices, processors, integrated circuits, etc. designed especially for AI in manufacturing going forward. The need for better computing power and demand for faster hardware configurations will also help this segment bolster artificial intelligence (AI) in manufacturing market growth in the future.
Software plays a crucial role in incorporating advancements of AI technology in artificial intelligence (AI) in manufacturing applications. High investments in the development of novel AI software solutions and integration of edge and cloud computing are also creating new opportunities for artificial intelligence (AI) in manufacturing providers going forward. 
Machine Learning in AI Applications for Manufacturing will help Promote Growth
Machine learning algorithms help to examine extensive datasets for providing immediate insights into manufacturing equipment and processes. Such insights help players improve their market position by optimizing operations and utilizing resources. Predictive maintenance is also largely enabled by the deployment of machine learning algorithms. High investments in machine learning technology development are also expected to alter the global artificial intelligence (AI) in manufacturing market growth trajectory vastly in the future.
Computer vision technology is projected to witness robust demand over the coming years. The growing need for automation across all kinds of manufacturing facilities is slated to create an opportune setting for artificial intelligence (AI) in manufacturing companies going forward. This technology helps machines to interpret and process visual data to make informed decisions in real time that enhance the productivity of manufacturing operations.
View report summary and Table of Contents (TOC):https://www.skyquestt.com/report/artificial-intelligence-in-manufacturing-market
Predictive Maintenance Takes Crown When It Comes to AI Application in Manufacturing Space
Downtime is the worst nightmare of any manufacturing operation, and this is why predictive maintenance is the best companion for any manufacturing company. A growing number of manufacturing facilities deploying predictive maintenance solutions to reduce downtime allow this segment to lead global artificial intelligence (AI) in manufacturing adoption. Meanwhile, the use of AI for quality control and inspection of finished goods is also expected to rise at a robust CAGR over the coming years. Use of AI for production planning also offers lucrative opportunities for artificial intelligence (AI) in manufacturing providers in the long run.
Artificial intelligence (AI) in the manufacturing market is slated to largely benefit from the predictive maintenance sub-segment across the forecast period. Upcoming artificial intelligence (AI) in manufacturing companies should target the services sub-segment and established providers should focus on the hardware sub-segment to get the best returns in the long run. Context awareness and natural language processing technologies have a lot of untapped potential for artificial intelligence (AI) in manufacturing companies to experiment with.
Related Report:
AI Market 
Artificial Intelligence (AI) Robots Market
Artificial Intelligence (AI) in Healthcare Market
Mobile Artificial Intelligence (AI) Market
Artificial Intelligence (AI) Hardware Market
About Us:
SkyQuest is an IP focused Research and Investment Bank and Accelerator of Technology and assets. We provide access to technologies, markets and finance across sectors viz. Life Sciences, CleanTech, AgriTech, NanoTech and Information & Communication Technology.
We work closely with innovators, inventors, innovation seekers, entrepreneurs, companies and investors alike in leveraging external sources of R&D. Moreover, we help them in optimizing the economic potential of their intellectual assets. Our experiences with innovation management and commercialization has expanded our reach across North America, Europe, ASEAN and Asia Pacific.
Contact:Mr. Jagraj SinghSkyQuest Technology1 Apache Way,Westford,Massachusetts 01886USA (+1) 351-333-4748Email: [email protected] Our Website: https://www.skyquestt.com/
Logo: https://mma.prnewswire.com/media/2446095/SkyQuest_Logo.jpg
 

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Artificial Intelligence (AI) in Cybersecurity Market to Surpass USD 114.30 Billion Valuation in 2031 on the Back of Rapidly Evolving Threat Landscape | SkyQuest Technology

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artificial-intelligence-(ai)-in-cybersecurity-market-to-surpass-usd-114.30-billion-valuation-in-2031-on-the-back-of-rapidly-evolving-threat-landscape-|-skyquest-technology

WESTFORD, Mass., July 12, 2024 /PRNewswire/ — According to SkyQuest, the global Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 18.36 Billion in 2022 and is poised to grow from USD 22.49 Billion in 2023 to USD 114.30 Billion by 2031, at a CAGR of 22.53% during the forecast period (2024-2031).

Artificial intelligence technology is being used in cybersecurity to improve the security of digital networks and solutions as the threat landscape evolves rapidly. The growing incidence of cyberattacks and the need for automation of cybersecurity are promoting the use of AI in cybersecurity. The global artificial intelligence (AI) in cybersecurity market is segmented into offering, security type, technology, application, vertical, and region.
Download a detailed overview:
https://www.skyquestt.com/sample-request/global-ai-in-cybersecurity-market
Artificial Intelligence (AI) In Cybersecurity Market Overview:
Report Coverage
Details
Market Revenue in 2023
$ 22.49 billion
Estimated Value by 2031
$ 114.30 billion
Growth Rate
Poised to grow at a CAGR of 22.53%
Forecast Period
2024–2031
Forecast Units
Value (USD Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
Security Type, Technology, Application and Vertical
Geographies Covered
North America, Europe, Asia Pacific, Middle East & Africa, Latin America
Report Highlights
Emphasis on improving identity and access management to create better AI in cybersecurity solutions
Key Market Opportunities
Use of machine learning to identify potential threat patterns
Key Market Drivers
Deployment of novel AI-based cybersecurity solutions by enterprises driving market development
Segments covered in Artificial Intelligence (AI) In Cybersecurity Market are as follows:
Security TypeInfrastructure Security (Network Security, Endpoint Security, Cloud Security, and Others), Data Security, Application Security, and OthersTechnologyMachine Learning (ML), Natural Language Processing (NLP), Context-Aware ComputingApplicationIdentity & Access Management, Risk & Compliance Management, Data Loss Prevention, Unified Threat Management, Fraud Detection, and OthersVerticalBFSI, IT & Telecom, Government & Defense, Manufacturing, and OthersRequest Free Customization of this report:
https://www.skyquestt.com/speak-with-analyst/global-ai-in-cybersecurity-market
Services to Spearhead the Global Artificial Intelligence (AI) in Cybersecurity Market Growth
Artificial intelligence is a highly advanced technology, and organizations need assistance to deploy it in cybersecurity applications. From consulting to integration all kinds of services are highly vital in the global artificial intelligence (AI) in cybersecurity market growth over the coming years. Not all companies have the resources to deploy AI in cybersecurity by themselves, which is why the services sub-segment holds sway in the global market.
Rapid advancements in AI technology fuel the need for novel software solutions and updates for the same allowing the software sub-segment to boost market growth. Use of advanced machine learning algorithms and integration of other advanced technologies will also help amplify artificial intelligence (AI) in cybersecurity company’s business scope through this sub-segment. The increasing complexity of the regulatory environment and cyberattacks will always boost the demand for new software solutions.
Machine Learning is the Essence of AI in Cybersecurity Market
Machine learning algorithms go above and beyond when used for cybersecurity as they help in identifying patterns and analyzing huge volumes of data to provide better security suggestions. Preventive threat protection actions can be used by deploying predictive threat detection using machine learning, thereby favoring artificial intelligence (AI) in cybersecurity market growth too. Machine learning is becoming an integral part of all AI-based cybersecurity solutions and systems.
Text-based attacks have increased in prevalence and frequency around the world and this is why the need for natural language processing (NLP) technology is rising rapidly. Use of NLP in AI-based cybersecurity solutions Better communication and a simplified nature of AI-based security can be achieved by the extensive deployment of NLP technology.
View report summary and Table of Contents (TOC):
https://www.skyquestt.com/report/global-ai-in-cybersecurity-market
Identity and Access Management to Remain the Primary Wall in AI-based Cybersecurity Defense
The use of artificial intelligence in identity and access management is projected to take cybersecurity to a new level. Use of multi-factor authentication and single sign-on features can easily be enabled by using AI in identity and access management functions of cybersecurity. The increasing complexity of the regulatory environment to reduce the incidence of cyberattacks is promoting the demand for AI-based risk and compliance management solutions. In the age of information data is the currency and safeguarding this data is of utmost importance to all organizations. Data loss prevention application is also slated to provide attractive opportunities for artificial intelligence (AI) in cybersecurity companies in the long run.
Artificial intelligence (AI) in cybersecurity market players should take caution while investing in any of the segments of this market as this is a highly sensitive and regulated industry. Targeting the use of machine learning and natural language processing algorithms in this market could be highly rewarding for new as well as established artificial intelligence (AI) in cybersecurity companies in the near future.
Related Report:
AI Market 
Cyber Security Market
Artificial Intelligence (AI) in Computer Vision Market
Edge Artificial Intelligence (AI) Market
Artificial Intelligence (AI) Hardware Market
About Us:
SkyQuest is an IP focused Research and Investment Bank and Accelerator of Technology and assets. We provide access to technologies, markets and finance across sectors viz. Life Sciences, CleanTech, AgriTech, NanoTech and Information & Communication Technology.
We work closely with innovators, inventors, innovation seekers, entrepreneurs, companies and investors alike in leveraging external sources of R&D. Moreover, we help them in optimizing the economic potential of their intellectual assets. Our experiences with innovation management and commercialization has expanded our reach across North America, Europe, ASEAN and Asia Pacific.
Contact:Mr. Jagraj SinghSkyQuest Technology1 Apache Way,Westford,Massachusetts 01886USA (+1) 351-333-4748Email: [email protected] Our Website: https://www.skyquestt.com/
Logo: https://mma.prnewswire.com/media/2446095/SkyQuest_Logo.jpg
 

View original content:https://www.prnewswire.co.uk/news-releases/artificial-intelligence-ai-in-cybersecurity-market-to-surpass-usd-114-30-billion-valuation-in-2031-on-the-back-of-rapidly-evolving-threat-landscape–skyquest-technology-302195619.html

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