Technology
Business Intelligence In The Healthcare Sector Market size is set to grow by USD 14.20 billion from 2024-2028, Improved efficiency of bi tools to boost the market growth, Technavio
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2 years agoon
By
NEW YORK, July 26, 2024 /PRNewswire/ — The global business intelligence in the healthcare sector market size is estimated to grow by USD 14.20 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 21.22% during the forecast period. Improved efficiency of BI tools is driving market growth, with a trend towards increasing use of predictive analytics and artificial intelligence in healthcare. However, presence of open-source bi vendors poses a challenge. Key market players include Accenture Plc, Alphabet Inc., Board International SA, Domo Inc., Hexaware Technologies Ltd., Idera Inc., Infor Inc., International Business Machines Corp., Microsoft Corp., MicroStrategy Inc., OpenText Corp., Oracle Corp., Perficient Inc., QlikTech international AB, Salesforce Inc., SAP SE, SAS Institute Inc., Sisense Ltd., Tata Consultancy Services Ltd., and TIBCO Software Inc..
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Forecast period
2024-2028
Base Year
2023
Historic Data
2018 – 2022
Segment Covered
Component (Software and Services), Deployment (Cloud-based and On-premise), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)
Region Covered
North America, Europe, APAC, South America, and Middle East and Africa
Key companies profiled
Accenture Plc, Alphabet Inc., Board International SA, Domo Inc., Hexaware Technologies Ltd., Idera Inc., Infor Inc., International Business Machines Corp., Microsoft Corp., MicroStrategy Inc., OpenText Corp., Oracle Corp., Perficient Inc., QlikTech international AB, Salesforce Inc., SAP SE, SAS Institute Inc., Sisense Ltd., Tata Consultancy Services Ltd., and TIBCO Software Inc.
Key Market Trends Fueling Growth
The healthcare sector’s business intelligence market is experiencing a significant trend towards the adoption of predictive analytics and artificial intelligence (AI). With the abundance of healthcare data, such as electronic health records (EHRs), medical images, and patient-generated data from wearables, healthcare organizations are leveraging advanced analytics to uncover valuable insights and enhance patient care. Predictive analytics enables identification of patients at risk for specific conditions, enabling early intervention. AI assists radiologists in analyzing medical images for quicker and more accurate abnormality detection. Natural language processing (NLP) is utilized to analyze unstructured data from sources like clinical notes and patient feedback, revealing patterns and trends. Predictive analytics applications in healthcare include forecasting sepsis rates, identifying high-risk readmission patients, determining co-morbidities requiring additional care, estimating finances per quarter, and managing PPE supply and demand. Historically, decisions were reactive, but predictive analytics offers a proactive approach, making it a crucial driver of growth for the global business intelligence market in healthcare during the forecast period.
In today’s data-driven world, Business Intelligence (BI) plays a crucial role in the healthcare sector. With the increasing penetration of data, managing and analyzing patient data has become essential for better patient safety, clinical performance, and improved patient outcomes. Chronic diseases and critical care units generate massive data that require advanced analytics tools like Artificial Intelligence (AI) and Machine Learning (ML) for effective analysis. Self-Service BI tools are trending, allowing healthcare professionals to access critical insights without IT intervention. Electronic Health Records (EHR) are the new norm, and BI tools help make sense of this data. Industries 4.0 and Cloud Computing have made BI tools more accessible, with Google Cloud leading the way. Healthcare Analytics includes Clinical, Financial, and Operational categories, with on-premise and cloud-based deployment options. Function categories include Corporate BI, Self-Service BI, and Dashboard models. Deployment categories include On-Premise, Cloud-Based, and Self-Service BI models. BI tools offer interactive graphs, dashboards, and data-supported decisions, enabling predictive analytics and epidemiology. Large-scale data distribution is made possible through software solutions and SaaS applications. Data-driven decision-making is the future, and BI tools provide the infrastructure, data modeling, database design, and data visualizations needed to make it a reality. Big data operations and telehealth are also benefiting from these advanced tools.
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Market Challenges
Open-source Business Intelligence (BI) vendors offer cost-effective and flexible software solutions for the healthcare sector. These solutions can be customized according to user needs, posing a challenge for commercial BI vendors. Notable open-source BI providers include Pentaho, BIRT, SpagoBI, KNIME, and JasperReports. Commercial vendors face difficulties monetizing their products due to the availability of free alternatives. Additionally, open-source BI vendors often have large communities of developers and users, making it challenging for commercial vendors to keep up with the latest trends and technologies. Their larger user bases also make it difficult for commercial vendors to compete on price. As a result, commercial BI vendors must offer additional features or services to attract customers and remain competitive in the healthcare sector market.Business intelligence (BI) plays a crucial role in the healthcare sector, helping providers make data-driven decisions to improve patient care and operational efficiency. However, implementing BI solutions comes with challenges. Hospitals, government agencies, and various organizations face obstacles in integrating data from multiple sources, including electronic health records, medical devices, and health information exchanges. Private exchangers, software vendors, and IT firms offer on-premise, cloud-based, and hybrid BI solutions. Challenges include claims processing, operational analysis, supply chain analysis, workforce analysis, strategic analysis, clinical analysis, quality improvement, clinical benchmarking, clinical decision support, comparative analytics, precision health, patient care, and financial analysis. BI tools help with revenue cycle management, payment integrity, query and reporting, OLAP and visualization, and more. Key stakeholders like practitioners, payers, and third-party administrators benefit from BI in healthcare. Market segments include healthcare providers, physician practices, post-acute care organizations, ambulatory care settings, accountable care organizations, managed care organizations, and managed care organizations. Chronic disorders, global healthcare, and remote patient monitoring are areas where BI can make a significant impact. BI tools enable data-driven insights for managing costs, improving patient outcomes, and enhancing overall quality of care.
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Segment Overview
This business intelligence in the healthcare sector market report extensively covers market segmentation by
Component 1.1 Software1.2 ServicesDeployment 2.1 Cloud-based2.2 On-premiseGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa
1.1 Software- The global business intelligence market in the healthcare sector is segmented into five main software categories: BI platforms, dashboard and reporting software, data analytics software, data warehousing software, mobile BI software, self-service BI software, and cloud-based BI software. These tools help healthcare organizations enhance operational efficiency, reduce costs, and enhance patient outcomes by deriving insights from their data. BI platforms serve as software tools that analyze data from various sources to generate valuable insights. Dashboard and reporting software create customized visualizations of key performance indicators (KPIs) and metrics in real-time. Data analytics software uses advanced algorithms to uncover hidden patterns and trends. Data warehousing software stores, manages, and organizes large volumes of structured and unstructured data. Mobile BI software enables healthcare professionals to access business intelligence data on mobile devices, while self-service BI software empowers non-technical users to create their reports and dashboards. Lastly, cloud-based BI software offers a scalable and flexible platform for managing and analyzing business intelligence data in the cloud. These software solutions play a crucial role in driving the growth of the business intelligence market in the healthcare sector, as they provide valuable insights that help organizations make informed decisions, ultimately improving patient care and outcomes.
For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2018 – 2022) – Download a Sample Report
Learn and explore more about Technavio’s in-depth research reports
The global Artificial Intelligence (AI) in the healthcare sector market is experiencing rapid growth, driven by advancements in machine learning, big data analytics, and the increasing need for personalized medicine. AI technologies are revolutionizing diagnostics, treatment planning, and patient management, enhancing efficiency and outcomes. Simultaneously, the global Healthcare Analytics Market is expanding as healthcare providers leverage data analytics for predictive modeling, patient care optimization, and operational efficiency. The integration of AI and analytics is poised to transform healthcare, offering significant opportunities for innovation and improved patient care.
Research Analysis
Business Intelligence (BI) in the healthcare sector is revolutionizing the industry by enabling data-driven decisions, improved patient outcomes, and enhanced clinical performance. With the increasing penetration of Electronic Health Records (EHR), the sector is witnessing a data explosion. Self-Service BI tools are empowering healthcare providers to analyze this data and gain insights into patient safety, clinical performance, and financial analysis. Industries 4.0 and advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML) are transforming healthcare analytics. Critical Care Units (CCUs) are leveraging real-time data from remote patient monitoring and telehealth to deliver personalized care. Google Cloud is a significant player in this data-supported world, offering predictive analytics, epidemiology, and customer relationship management solutions. BI tools are helping healthcare providers make data-driven decisions, manage chronic disorders, and optimize resources. The future of healthcare lies in the effective use of BI tools to improve patient care and outcomes in this data-driven world.
Market Research Overview
In the healthcare sector, Business Intelligence (BI) has become a crucial tool for transforming data into valuable insights. With the increasing penetration of data in healthcare, self-service BI has emerged as a popular choice for patients, providers, and industries. Electronic Health Records (EHR) are the primary source of data, and Industries 4.0, Artificial Intelligence (AI), and Machine Learning (ML) are revolutionizing the way data is analyzed. Critical Care Units, Cloud Computing, and Healthcare Analytics are some of the function categories that heavily rely on BI. Clinical Analytics, Financial Analytics, and Operational Analytics are the three main model categories, with on-premise and cloud-based deployment options. Cloud-based BI tools offer advantages like data-supported decisions, predictive analytics, and interactive graphs in a data-driven world. Customer Relationship Management (CRM) and Google Cloud are gaining popularity in the healthcare sector. Patient safety, clinical performance, and patient outcomes are some of the critical areas where BI plays a significant role. BI tools enable data-driven decision-making, data visualizations, and customizations. However, security breaches and cost management are major concerns in the healthcare sector. Software solutions and SaaS applications offer various functionalities like claims processing, operational analysis, supply chain analysis, workforce analysis, strategic analysis, clinical analysis, quality improvement, clinical benchmarking, clinical decision support, comparative analytics, precision health, patient care, and corporate BI. Healthcare payers, providers, hospitals, government agencies, private exchanges, and pharmaceutical companies are some of the industries that heavily rely on BI. BI tools help in cost management, cash flow management, claims management, and financial analysis. The future of BI in healthcare is promising, with advancements in big data operations, telehealth, telecloud, and on-premises, hybrid, and cloud-based deployment options.
Table of Contents:
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation
ComponentSoftwareServicesDeploymentCloud-basedOn-premiseGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix
About Technavio
Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.
With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.
Contacts
Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/
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SOURCE Technavio
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Axon Announces Body 5: Next-Generation Camera Built for the AI Era
Published
3 hours agoon
October 24, 2026By
Axon Body 5 delivers 25x the AI processing power of earlier-generation cameras, with upgraded connectivity, audio and battery life to support real-time situational awareness in the field
SCOTTSDALE, Ariz., Oct. 24, 2026 /PRNewswire/ — Axon (Nasdaq: AXON), the global leader in public safety technology, today announced Axon Body 5, its newest body-worn camera designed to bring more powerful intelligence, connectivity and real-time support directly to officers in the field.
For years, Axon body cameras have helped agencies capture critical evidence and create greater transparency. Body 5 is built to help officers during the call, with information, assistance and backup on the spot.
“Officers shouldn’t have to choose between getting information and watching the scene. With Axon Body 5, they don’t,” said Rick Smith, Axon Founder and CEO. “They capture a license or document with the camera, keep their hands free and eyes up, and get information faster than writing it down and calling it in by radio. An officer fully engaged with the person in front of them, not down at a notepad, is a safer officer and a better-served community.”
Axon Body 5: Built for the AI Era
Built from the ground up for the AI era, Axon Body 5 delivers 25x the AI processing power than earlier generation Axon body cameras, alongside advancements in connectivity, audio, video and battery life. Together, these upgrades give the camera the physical power to run smarter AI features — both today and as new AI tools are developed in the future — while also making it more dependable for officers to use every day.
For the first time, Axon is also introducing two versions of its latest flagship camera: Axon Body 5 and Axon Body 5 Pro.
Both models feature several key advancements, including:
25x more processing power for AI: A powerful new computing architecture creates the capacity to support current and future AI features directly on the body camera.Enhanced video: Improved video captures clearer evidence across challenging environments, including better low-light performance.Improved connectivity: Seamless connectivity in urban and remote environments – and more precise location capability – helps officers, cameras and remote support teams stay connected when timely information matters most.Longer battery life: 20% more battery life than the previous generation helps keep the camera ready and connected throughout an officer’s shift.
The Axon Body 5 Pro will continue to gain new AI capabilities as they become available, growing along with the AI Era Plan. Additionally, new hardware features include:
A near-focus camera: An additional dedicated camera lens lets officers scan driver’s licenses to check status and search for wants or warrants in seconds, without returning to the patrol vehicle, with relevant information sent to Axon Fusus to support real-time operations.Front-facing speakers: Four additional speakers project even more powerful audio toward the person an officer is speaking with, helping real-time translations from Axon Assistant carry more clearly over heavy traffic or crowd noise. Additional memory: Extra space lets the camera run several AI tools at once, helping officers stay better informed and work faster.
Bringing More of Axon’s AI Era Into the Field
Axon Body 5 helps officers get more out of the Axon AI Era Plan by bringing smart tools right to the scene. Axon’s portfolio already supports public safety professionals across a growing range of tasks. For example, Draft One helps officers turn body-camera audio into high-quality report drafts and Axon Assistant provides voice-based information access and real-time translation.
Increasingly, Axon is also bringing AI into real-time operations.
Axon Guardian is a new category of AI features within the AI Era Plan that was specifically created to work with an officer’s field-based devices – starting with body cameras and in-car cameras – to improve safety. Guardian is designed to flag potential risks as situations unfold and create alerts when additional attention may be needed. Two of the first features include:
Escalation Detection: When an Axon Body 4 or Axon Body 5 camera is activated and recording, Guardian has the ability to detect potential conflicts in real time and create an alert in Axon Fusus. A human reviews the livestream and decides if additional support or action is needed.Approach Alert: When active on Axon Fleet 3, Guardian can detect if the door of a stopped vehicle opens and alert the officer through the in-car display and their body-worn camera.
Combined, Axon Body 5 and the expanding AI Era portfolio demonstrate the importance of AI as a critical resource to assist public safety professionals before, during and after an incident — reducing administrative burden, improving situational awareness and helping protect more lives.
Innovating Responsibly
Axon’s Responsible Innovation framework guides the development of all of its products. Designed with this in mind, Axon Body 5 and Guardian prioritize human oversight and maintain agency control over data. As a key part of the responsible innovation process, Axon’s independent Ethics and Equity Advisory Council was created to help responsibly develop and deploy new technologies with transparency, while aligning with community expectations.
General availability dates for Axon Body 5 and Axon Guardian will be announced soon. Product features and capabilities vary by configuration. For more information on Axon’s current products and services: Axon Product Catalog – Axon.com.
About Axon
Axon (Nasdaq: AXON) is the global leader in public safety technology supporting state, local, federal and international public safety agencies with technology designed to Protect Life. Complementing its mission, Axon’s growing Enterprise market focuses on protecting critical infrastructure and frontline workers across multiple industries including corporate security, hospitality, retail and healthcare. Founder-led since 1993, Axon builds products with transparency and responsibility. From TASER energy devices to today’s connected network of hardware – including cameras, drones, and robotics – cloud software, sensors, and AI-tools, the Axon ecosystem helps seamlessly protect people and places when it matters most. To ensure these technologies align with community expectations, Axon’s independent Ethics & Equity Advisory Council guides the ethical, inclusive, and accountable design of its products and services. Learn more about the EEAC and Axon’s Responsible Innovation framework at Axon Responsibility.
Non-Axon trademarks are the property of their respective owners. Axon, TASER and the Delta Logo are trademarks of Axon Enterprise, Inc., some of which are registered in the US and other countries. For more information, visit www.axon.com/legal. All rights reserved.
Please visit https://investor.axon.com and https://www.axon.com/newsroom for more information.
Media Contact:
Kate MacKinnon
Vice President, Communications
press@axon.com
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In HelloNation, Custom Fabrication Expert Mark Coyle Explains a Common Mistake in Custom Aluminum Design
Published
4 hours agoon
October 24, 2026By
The article explains why smart geometry, not thicker walls, creates stronger, more efficient aluminum components.
ROCHESTER, N.Y., Oct. 24, 2026 /PRNewswire/ — What early design choice causes many custom aluminum projects to become heavier, costlier, or harder to manufacture? That question is addressed in a HelloNation article featuring insights from Custom Fabrication Expert Mark Coyle of American Custom Metals, Inc. in Rochester, New York, that outlines how misunderstanding aluminum behavior leads designers to rely on thick walls instead of stronger geometry.
The article begins by explaining that many people assume thicker walls automatically make aluminum parts stronger. It notes that aluminum does not respond to wall thickness the way steel does. Instead, its performance is shaped by how the metal flows through the extrusion die. The article states that custom aluminum design is more effective when profiles use ribs, chambers, and flanges to create stiffness without adding unnecessary weight. This guidance helps readers understand why adding material often increases cost without improving strength.
The article also highlights that thicker walls change how aluminum moves during extrusion. When heavy areas fill more slowly, the metal cools unevenly and can develop stress that only appears later. The HelloNation piece explains that well-balanced geometry keeps extrusion smooth and predictable. This consistency makes it easier to maintain dimensional accuracy across long production runs. By focusing on geometry, custom aluminum design avoids the problems that come with slow extrusion speeds and uneven cooling.
Another insight in the article centers on how ribs and internal supports influence stability. It describes how a thin wall supported by a properly placed rib often performs better than a thick wall with no reinforcement. This happens because the rib helps distribute load, improve stiffness, and guide the aluminum as it cools. The article explains that this structural approach makes custom aluminum design more efficient and gives designers more control over how the final part behaves under pressure.
The article also shows why early collaboration between designer and fabricator prevents costly changes. It states that a fabricator familiar with extrusion can catch potential issues before a die is built. Small adjustments to corners or transitions can remove weak points or improve metal flow. The article notes that this teamwork keeps the design aligned with real-world production. By working together early, both sides reduce the risk of redesigning the die after the first test run.
Machining is another area where the article explains how wall thickness affects performance. Features such as deep pockets or sharp internal angles may require slow feed rates or special tooling. When walls are thicker than needed, those areas can become difficult to machine cleanly. The article states that thoughtful custom aluminum design makes machining more predictable. Small changes, such as adding radiused edges or sizing features to match standard tools, help shorten cycle times and prevent tool wear.
Thermal behavior receives detailed attention as well. The article explains that aluminum retains heat differently depending on the mass of each section. Thicker walls hold heat longer, which increases the chance of distortion during extrusion, machining, or finishing. When a design uses geometry to create strength, the material cools more evenly. This reduces warping and helps long profiles stay aligned. The article notes that stable cooling is important for components that require a precise fit and consistent shape throughout an entire production run.
Cost is also a key topic in the article. It states that heavier profiles increase material use, extrusion time, and tooling needs. A custom aluminum design that relies on geometry instead of mass lowers material consumption and keeps the fabrication process efficient. The article explains that lighter parts are easier to handle, ship, and assemble. This saves money across multiple stages of production and supports long-term manufacturing efficiency.
The article also notes that smart custom aluminum design creates profiles that behave predictably during extrusion and machining. Smooth transitions, balanced wall dimensions, and structural features help reduce the chance of distortion or dimensional drift. These elements also lower scrap rates and support reliable performance. By using geometry instead of excess material, designers build parts that maintain strength without compromising manufacturability.
As the article concludes, it emphasizes that avoiding thick walls is one of the best ways to improve performance and lower cost. It states that the most dependable custom aluminum components come from designs that use structural features to strengthen the profile. When designers understand how aluminum behaves at each stage of extrusion and machining, they create parts that are strong, efficient, and consistent from batch to batch. This approach turns custom aluminum design into a predictable process rather than a series of uncertain adjustments.
A Common Mistake in Custom Aluminum Design features insights from Mark Coyle, Custom Fabrication Expert of Rochester, NY, in HelloNation.
About HelloNation
HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused publications and innovative “edvertising” approach, HelloNation delivers content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities.
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World Young Scientist Summit 2026 Opens in Wenzhou, Zhejiang
Published
5 hours agoon
October 24, 2026By
WENZHOU, China, Oct. 24, 2026 /PRNewswire/ — This is a report by China Daily:
On October 24, the World Young Scientist Summit 2026 opened in Wenzhou, Zhejiang. The event is hosted by the China Association for Science and Technology (CAST), the Zhejiang Provincial People’s Government, and the World Association of Young Scientists. Nearly 800 representatives, including scientists, educators, and entrepreneurs from more than 60 countries and regions, are attending the summit.
He Junke, Vice President of CAST in charge of daily work and First Secretary of its Secretariat; Lian Yimin, Chairman and Party Group Secretary of the Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference; Marcelo Knobel, Executive Director of The World Academy of Sciences; and Zhang Zhenfeng, Member of the Standing Committee of the CPC Zhejiang Provincial Committee and Secretary of the CPC Wenzhou Municipal Committee, attended the summit and delivered remarks. Yao Gaoyuan, Vice Governor of the Zhejiang Provincial People’s Government, presided over the first segment of the plenary session.
With the theme “Gathering Talents Worldwide to Create a Better Future,” the summit’s annual agenda is “Global Youth Action in the AI Era: Building a Sustainable Future.” It aims to draw on the insights of young people around the world, deepen international sci-tech cooperation, and jointly address questions about young people, science, the world and the future.
Efim Zelmanov, Fields Medalist and Foreign Member of the Chinese Academy of Sciences; Chen Yunji, Deputy Director of the Institute of Computing Technology, CAS, and Director of the National Key Laboratory of Processor Chips; Mary Garson, President of the International Union of Pure and Applied Chemistry; and Lu Chaoyang, Member of the Standing Committee of CAST, Executive Dean of the Shanghai Institute of Advanced Study, University of Science and Technology of China, and Chairman of the Council of the World Association of Young Scientists, delivered keynote speeches respectively on education reform in the AI era, AI and processor chips, young women scientists’ participation in science, and quantum computing. They explored new opportunities for scientific research, talent cultivation, and international cooperation in the AI era.
This year’s summit placed greater emphasis on the growth needs of young scientists, with young talents under the age of 45 accounting for 88 percent of participants. It aimed to build a cluster of international journals, bring together young scientific talent, facilitate a batch of international collaborative projects and advance the application and commercialization of scientific and technological achievements. The summit released the Report on the Distribution and Mobility of Young Scientists in the Field of Embodied Intelligence, launched the World Young Scientist Summit Partner Journal Program and the 2026 World Young Scientist Innovation and Entrepreneurship Growth Support Program. It also published the “Young Scientist Pioneers 2035” list and announced the 2026 Sustainable Development Young Scientist Award. The awards were presented to four Chinese and foreign scientists.
Chen Tianrun, Founder of Hangzhou Moxin Technology Co., Ltd.; Yuan Yang, Assistant to the Dean of the Institute for Interdisciplinary Information Sciences at Tsinghua University; and two of the 2026 Sustainable Development Young Scientist Award winners, César de la Fuente and Nicola Segata, among other Chinese and foreign young scientist representatives, spoke at the flash-talk session to share their research practices and reflections.
In addition, the conference focused on fields such as future manufacturing, quantum information, embodied intelligence, brain-computer intelligence, environmental science, deep-sea resources, and life and health, and held 12 parallel forums. It also included the “Gravitation π” Future Technology and Concept Products Exhibition and Exchange, local thematic side events, and sci-tech and humanities study visits, further building an interdisciplinary, cross-regional and cross-sector platform for youth sci-tech exchange and cooperation.
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