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Big Data Analytics in Healthcare Market Assessment, By Analytics, By Application, By End-user, By Region, Opportunities, and Forecast, 2016-2030F

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New York, June 28, 2023 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Big Data Analytics in Healthcare Market Assessment, By Analytics, By Application, By End-user, By Region, Opportunities, and Forecast, 2016-2030F” – https://www.reportlinker.com/p06470934/?utm_source=GNW

The Big Data Analytics in Healthcare Market was valued at 30.6 billion in 2022 and will reach USD 117.70 billion in 2030 growing at a CAGR of 18.34% for the forecast period between 2023 and 2030. In recent years, there has been a continuous increase in the demand for solutions offering effective analytical tools. Both public and private hospitals are seeking ways to leverage big data’s capabilities for enhanced decision making, competitive advantage, and improving company performance.

Big data analytics and prediction models are being used by providers, lawmakers, and researchers to better allocate resources, predict surges, improve patient care and outcomes, and implement preventive measures. Roughly, 30% of the global data volume is created by the healthcare sector. Globally, there are around 350,000 health applications available, with over 90,000 of those being released in the same year. Hence, presence of enormous data enables the scope of utilizing big data analytics to improve healthcare decision making. Furthermore, Electronic Health Records (EHR) is the major application of big data in healthcare, where doc tors and nurses can access real-time, precise patient/resident data. Several other factors in the healthcare sector, such as increase in the use of data in healthcare, use of predictive analytics, increasing use of ML algorithms drive the demand for big data technology to improve overall efficiency and quality of care delivery.

Additionally, healthcare technology integrating use of sensors to collect data across numerous applications in upcoming years provides ample growth opportunity for the market. From earphones that can measure a person’s core temperature, socks that can monitor a baby’s heart rate, or a sports bra that can identify cancer. The development of comfortable, patient-friendly wearables will boost customer compliance and enhance data collection due to the convergence of consumer wearables with medical technology. The newest developments will do more than just collect data; they will also offer advice and administer care. Technolog y is rapidly personalising healthcare on a global scale, from a small ring that encourages deeper sleep to insoles that aids in walking.

Increasing Demand for Population Health Analytics

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On a population-wide scale, employing big data analytics to improve healthcare can significantly save costs by identifying the people who are at higher risk for disease and arranging early treatments before the situation worsens. Big data is used in healthcare by aggregating data on a variety of parameters such as medical history, lab values, medications, comorbidities, and socioeconomic profile. Policymakers have started to use data for decision-making as more data becomes available. Data related to hospital readmission rates is used to establish policies targeted at reducing needless readmissions. Patient satisfaction data is now being utilised to impact policies ranging from provider reimbursement to hospital transparency. For instance, in April 2023, Amitech Solutions, a healthcare data, analytics and automation consulting company, released Healthcare Pricing Analytics Solution, a first-of-its-kind, on Snowflake’s Marketplace. It is based on publicly available hospital and payer pricing data, but they go beyond the raw data to provide insights that support collaboration among all healthcare stakeholders to reduce costs of treatment.

Extensive Implementation in Cancer Research

According to World Health Organization, approximately 14 million people suffer from cancer every year. In the next 20 years, the number is predicted to increase by almost 70%. Oncologists are using data to deliver individualised treatments based on biopsy specimens, patient histories, and other relevant data. Numerous types of cancer-related data from patient case histories, international research, and surveys are being compiled by institutions all over the world. Researchers are utilising Natural Language Processing (NLP) systems to analyse through millions of health records in a population to determine patterns, trends, and patient similarity metrics. For instance, in October 2022, Tem pus, a pioneer in AI and precision medicine, has introduced Tempus+, a proprietary platform that uses real-world data to drive collaborative precision oncology research.

Government Initiative

Several local governments have introduced various initiatives for the upliftment of big data in healthcare industry. For instance, the Data Integration Partnership for Australia (DIPA) is a three-year, USD130.8 million project, aimed to maximize the use and value of the government’s data assets. DIPA used data integration and analysis to provide fresh insights into crucial and challenging policy issues. Over 20 Commonwealth agencies worked together as a whole-of-government initiative to advance technical data infrastructure and data integration capabilities throughout the Australian Public Service. Important data assets, such as those in the social welfare, health, and education sectors, were upgraded, enabling policymakers to get insights that were previously not possible. Because DIPA only allowed access to regulated, de-identified, and confidential data for policy analysis and research purposes, individual privacy and the security of sensitive data is preserved. Likewise, governments across the globe are encouraging use of big data analytics to enhance healthcare infrastructure and promote well-structured healthcare landscape.

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Predictive Analytics to Grow at a Faster Rate

With growing demand for population health analytics, further advancements in predictive analytics are expected to take place in the future. Healthcare organizations with the help of predictive analytics can identify potential health problems before they occur. Predictive analytics can anticipate future patient needs and identify population health patterns more quickly and precisely than ever before by utilizing data-driven insights. Additionally, predictive analytics allows healthcare practitioners to better forecast patient outcomes and allocate resources, accordingly, resulting in better treatment for people and cost savings for organizations. Personalizing therapies based on an individual’s medical history or genetic profile, improving operational efficiency by forecasting resource requirements, and lowering hospital readmissions through early interventions are some of the other applications of predictive analytics in healthcare. For instance, in July 2022, Trilliant Health launched Site Selec tion, an analytics tool that provides dynamic comparisons at the service line level for M&A, and organic exp ansion plans for providers, payers, or life science firms.

Growing Application of Big Data Analytics in Pharmaceutical Research

The development of a new medicine is a highly costly endeavor as it requires extensive pharmaceutical research. As per Congressional Budget Office (CBO), the cost of medicine development can range from USD 1 billion to USD 2 billion, encompassing capital expenditures and investments in unsuccessful drug candidates. However, big data analytics offers a powerful solution by enabling intelligent searches across extensive databases comprising patents, academic articles, and clinical trial data. This technology empowers researchers to efficiently navigate these vast datasets, accelerating the process of generating new medications. In the pharmaceutical sector, big data analytics have already been leveraged to streamline online searches for immense datasets encompassing existing and pending patents, as well as publications from relevant academic journals. This capability enables researchers to access and analyze valuable information swiftly, enhancing their knowledge base and facilitating the discovery of novel therapeutic compounds.

Moreover, big data analytics plays a crucial role in the pharmaceutical industry’s pre-commercialization phase. By harnessing these analytics, companies can identify the optimal patient demographics for clinical trials, ensuring a diverse and representative participant pool. Remote monitoring and analysis of previous clinical trial data can also be facilitated, allowing for comprehensive evaluation of drug safety and efficacy. This technology aids in the early detection and reporting of potential side effects, enabling pharmaceutical companies to address any concerns proactively.

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Hence, big data analytics in healthcare present significant opportunities for the pharmaceutical industry to streamline drug development processes, improve research efficiency, and enhance patient safety. By harnessing the power of vast datasets and advanced analytical techniques, the industry can drive innovation, optimize decision-making, and ultimately bring safer and more effective medications to the market.

Impact of COVID-19

The utilization of big data analytics has emerged as a pivotal factor in healthcare decision-making, particularly in the context of the COVID-19 pandemic. The ongoing global health crisis has witnessed an exponential surge in the volume and variety of health data being collected and modified, thereby facilitating more extensive and sophisticated analytics. This has, in turn, led to a deeper comprehension of effective response strategies and treatment modalities for patients. Significantly, the COVID-19 pandemic has underscored the existing challenges associated with health data exchange between organizations and the notable lack of standardization in data collection and analysis methodologies. These obstacles have further highlighted the criticality of implementing robust data governance frameworks and standardized protocols to enhance data sharing and promote interoperability within the healthcare ecosystem. In the aftermath of the pandemic, the healthcare industry has recognized the operational advantages of leveraging big data analytics to drive informed decision-making processes. Industry players are increasingly forging strategic partnerships aimed at developing advanced data analytics platforms tailored specifically for the healthcare sector.

Key Players Landscape and Outlook

Companies operating in the global Big Data Analytics in Healthcare market are increasingly collaborating with healthcare bodies and popular hospitals to accelerate digital transformation of healthcare systems. Healthcare bodies and hospitals possess vast amounts of valuable patient data, including medical records, clinical trials, genomic data, and real-time patient monitoring data. By collaborating with these entities, companies can gain access to diverse and comprehensive datasets necessary for developing and refining their big data analytics solutions. Access to such data enables companies to train and validate their algorithms, improve predictive models, and generate meaningful insights for healthcare decision-making.

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For instance, in 2022, Hartford HealthCare has entered into a strategic and enduring collaboration with Google Cloud to propel the health system’s digital evolution, enhance data analysis capabilities, and elevate the delivery and accessibility of healthcare services. The health system will use Google Cloud’s Healthcare Data Engine (HDE) and HDE accelerators, leveraging artificial intelligence (AI) and machine learning (ML), to make its healthcare data more accessible and actionable.
Read the full report: https://www.reportlinker.com/p06470934/?utm_source=GNW

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Artificial Intelligence

2024 Tang Prize Laureates Announced: Six Global Visionaries to Be Honored in Taiwan This September

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TAIPEI, June 22, 2024 /PRNewswire/ — The prestigious 2024 Tang Prize Laureates have been announced, recognizing outstanding contributions in various fields. The Tang Prize in Sustainable Development is awarded to American chemist Omar M. Yaghi. In the field of Biopharmaceutical Science, the prize is jointly awarded to Joel F. Habener, Svetlana Mojsov, and Jens Juul Holst. University Professor Emeritus Hsu Cho-yun of the University of Pittsburgh and Academician of Academia Sinica is honored with the Tang Prize in Sinology. Mary Robinson, a former lawyer and senator, former president of Ireland, former United Nations High Commissioner for Human Rights, and current Chair of The Elders, is awarded the Tang Prize in Rule of Law. These six distinguished laureates will be formally honored at an upcoming ceremony to be held in Taiwan this September.

The Tang Prize in Sustainable Development is awarded to Omar M. Yaghi, for his extraordinary contributions to sustainable development, particularly his pioneering work with Metal-Organic Frameworks (MOFs) and other ultra-porous frameworks that can be tailored for carbon capture, hydrogen and methane storage, and water harvesting from desert air. His research has revolutionized the field of chemistry and materials science, offering transformative solutions for sustainable development through the creation of customizable materials with exceptional properties.
Professor Joel F. Habener, Professor Svetlana Mojsov, and Professor Jens Juul Holst have been jointly awarded the Tang Prize in Biopharmaceutical Science, for the discovery of GLP-1 (7-37) as an insulinotropic factor and the development of GLP-1 (7-37)-based anti-diabetic and anti-obesity drugs.
University Professor Emeritus Hsu Cho-yun is awarded the Tang Prize in Sinology for his exceptional contributions to the field of Sinology. Professor Hsu’s illustrious academic career has been distinguished by his holistic approach to the study of ancient Chinese history, seamlessly integrating an exploration of cultural and intellectual exchanges between China and the world. With his profound erudition and unwavering public spirit, Professor Hsu embodies the quintessential Sinologist, possessing both a deep historical sensibility and a broad, worldly vision.
The Tang Prize in Rule of Law is awarded to Professor Mary Robinson, for her “powerful advocacy for the most disadvantaged in different spheres, including gender equality, poverty alleviation, human rights, and climate justice.” In particular, the Selection Committee noted that her “passionate endeavors demonstrated an effective combination of legal acumen and practical solutions.” The Committee also noted that “from the national to the global stage, legal and political, she has innovatively transformed and expanded the various positions in which she has served to strengthen the rule of law.”
About the Tang Prize
Since the advent of globalization, mankind has been able to enjoy the convenience brought forth by the advancement of human civilization and science. Yet a multitude of challenges, such as climate change, the emergence of new infectious diseases, wealth gap, and moral degradation, have surfaced along the way. Against this backdrop, Dr. Samuel Yin established the Tang Prize in December 2012. It consists of four award categories, namely Sustainable Development, Biopharmaceutical Science, Sinology, and Rule of Law. Every other year, four independent and professional selection committees, comprising many internationally renowned experts, scholars, and Nobel winners, choose as Tang Prize laureates people who have influenced and made substantive contributions to the world, regardless of ethnicity, nationality or gender. A cash prize of NT$50 million (approx. US$1.7 million) is allocated to each category, with NT$10 million (approx. US$ 0.35 million) of it being a research grant intended to encourage professionals in every field to examine mankind’s most urgent needs in the 21st century, and become leading forces in the development of human society through their outstanding research outcomes and active civic engagement.
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Key Tech Stocks Optimizing AI Usability and Infrastructure for a $20-Trillion Future

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USA News Group CommentaryIssued on behalf of Avant Technologies Inc.
VANCOUVER, BC, June 21, 2024 /PRNewswire/ — USA News Group – Several big winners have been made already in the ongoing artificial intelligence (AI) revolution. However, there’s clearly none bigger than chipmaking giant NVIDIA Corporation (NASDAQ: NVDA), which just surpassed two of its big tech peers to become the most valued publicly-traded company on the planet. To put it into perspective, NVIDIA’s market cap is currently larger than each of Europe’s largest stock markets, while lucky investors who bet $1000 on NVIDIA stock just ten years ago would be sitting on an extra $297,600 today. Now as analysts are predicting that AI and cryptocurrency could inject $20 trillion into the global economy by 2030, the best minds in the tech sector are moving their pieces into place to secure their piece of the pie. Behind the scenes, tech stocks are optimizing the infrastructure, security, and usability of AI, including new developments from Avant Technologies Inc. (OTCQB: AVAI), International Business Machines Corporation (IBC) (NYSE: IBM), Cloudflare, Inc. (NYSE: NET), and Accenture plc (NYSE: ACN).

Known as a pioneer in the sector for its innovative AI technology, Avant Technologies Inc. (OTCQB: AVAI) has improved its main product, Avant AI™. This sophisticated AI system, celebrated for its advanced machine and deep learning capabilities, is adaptable across a wide range of industries.
In a recent strategic development, Avant has signed a Binding Letter of Intent (BLOI) with Flow Wave, LLC (FW), a Florida-based leader in immersible computer server technology. This agreement allows Avant to acquire up to 50 cutting-edge immersible computer servers from FW in a deal valued at $50 million.
“Avant’s revolutionary AI software platform is poised to transform the landscape of data center management,” said William Hisey, CEO of Avant.  “By integrating proprietary machine learning algorithms with open-source innovations into these servers, Avant is developing a highly intelligent system designed to optimize resource allocation, enhance performance, and drive unprecedented levels of efficiency and automation. This marks the beginning of a new era for Avant Technologies, positioning us at the forefront of the supercomputer-driven data center industry and setting new standards for managing and storing AI applications.”
Flow Wave Immersible AI Supercomputer Servers are great for heavy AI and machine learning tasks because they have strong processing power, meaning they can analyze data faster and more efficiently. Their special cooling technology uses less energy, saving money and reducing environmental impact. The servers are also compact and easy to set up, making them ideal for data centers with limited space. Plus, their design helps them last longer and require less maintenance.
Avant plans to tackle the challenges of the digital age by buying up to 50 of these high-performance servers from Flow Wave. These servers, with their advanced cooling technology, boost performance and save energy. This deal shows Avant’s dedication to providing top-notch AI infrastructure and improving efficiency. More details about the transaction will be shared once a definitive agreement is finalized.
One of the most active tech giants in the AI space is International Business Machines Corporation (IBC) (NYSE: IBM), which recently released a new methodology through its IBM Research® wing called LAB (Large-Scale Alignment for ChatBots), through an open-source project called InstructLab with its subsidiary Red Hat®, which IBM acquired for $34 billion in 2019. The InstructLab project builds on the LAB technique for a community-driven approach to language model development through skills and knowledge training.
As well, IBM has teamed up with WPP and LinkedIn to launch a new business-to-business (B2B) solution powered by IBM’s AI and data platform watsonx, designed to reinvent how B2B markets identify and engage clients and prospects across the buying journey. WPP Open for B2B will help marketers solve complex B2B marketing challenges, accurately identify and engage buying groups, and improve clients’ return on investment.
“B2B marketers have been focused on creating truly personalized, relevant and consistent experiences for buying groups at scale for years,” said Jonathan Adashek, Senior Vice President of Marketing and Communications at IBM. “Our collaboration with WPP and LinkedIn provides real-time, actionable insights that are based on trusted data. We are excited to create and use these new, powerful and trusted AI solutions to deliver a force multiplier for B2B marketing.”
Cloud-based security solution provider Cloudflare, Inc. (NYSE: NET) recently announced the general availability of its AI Gateway platform, dubbed as a unified interface for managing and scaling the generative AI workloads of clients. Since its beta launch in September 2023, AI Gateway has handled over 500 million requests and is now ready for full client use.
The general availability release followed upon another Cloudflare announcement of a collaboration with Hugging Face, the leading open and collaborative platform for AI builders, for a one-click-simple global deployment for AI applications. With its Workers AI platform now generally available, Cloudflare became the first serverless inference partner integrated on the Hugging Face Hub for deploying models, enabling developers to quickly, easily, and affordably deploy AI globally, without managing infrastructure or paying for unused compute capacity.
“Workers AI is one of the most affordable and accessible solutions to run inference,” said Matthew Prince, CEO and co-founder, Cloudflare. “With Hugging Face and Cloudflare both deeply aligned in our efforts to democratize AI in a simple, affordable way, we’re giving developers the freedom and agility to choose a model and scale their AI apps from zero to global in an instant.”
Reporting impressive generative AI revenues in its latest Q3 2024 fiscal results has caused shares of Accenture plc (NYSE: ACN) to jump this week, reporting more than $900 million in generative AI bookings in the latest quarter alone.
“Our actions to stay laser-focused on the needs of our clients are clear in our third quarter results,” said Julie Sweet, Chair and CEO of Accenture. “We… achieved two significant milestones this quarter — with $2 billion in Generative AI sales year-to-date and $500 million in revenue year-to-date — which demonstrate our early lead in this critical technology.”
Prior to the financial report, Accenture announced its intent to acquire Italian-based network services company, Fibermind, which specializes in fiber and mobile 5G networks deployment, as well as infrastructure engineering services. Together, Accenture and Fibermind will offer clients network engineering capabilities, deep industry knowledge, and technology assets powered by automation, robotics, data and AI.
Prior to its surge into the position as the world’s most valuable publicly-traded company, NVIDIA Corporation (NASDAQ: NVDA) made a pair of announcements, further cementing its role in the AI revolution.
The first was the announcement of its NVIDIA Omniverse Cloud Sensor RTX, a set of microservices that enable physically accurate sensor simulation to accelerate the development of fully autonomous machines of every kind, allowing developers to test sensor perception and associated AI software at scale in physically accurate, realistic virtual environments prior to real-world deployment.
The second announcement was the NVIDIA AI Computing by HPE, a portfolio of AI solutions and joint go-to-market integrations that enable enterprises to accelerate adoption of generative AI, co-developed with Hewlett Packard (HP).
“Generative AI and accelerated computing are fueling a fundamental transformation as every industry races to join the industrial revolution,” said Jensen Huang, Founder and CEO of NVIDIA. “Never before have NVIDIA and HPE integrated our technologies so deeply – combining the entire NVIDIA AI computing stack along with HPE’s private cloud technology – to equip enterprise clients and AI professionals with the most advanced computing infrastructure and services to expand the frontier of AI.”
All NVIDIA AI Computing offerings by HPE will be available through a combined marketing strategy involving sales teams, channel partners, and training. This strategy includes a global network of system integrators such as Deloitte, HCLTech, Infosys, TCS, and Wipro. These integrators will assist enterprises across various industries in running complex AI workloads.
Source: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/ 
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USA NEWS [email protected](604) 265-2873
DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Avant Technologies Inc. advertising and digital media from the company directly. There may be 3rd parties who may have shares Avant Technologies Inc., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Avant Technologies Inc. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Avant Technologies Inc. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

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2024 World Intelligence Expo Begins with a Grand Opening in Tianjin

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TIANJIN, China, June 21, 2024 /PRNewswire/ — On June 20th, Tianjin hosted the opening of the 2024 World Intelligence Expo (WIE). Under the theme “Intelligence: Expansive Development Space, Sustainable Growth Driver,” the event was co-organized by the people’s governments of the Tianjin and Chongqing municipalities.

Chinese President Xi Jinping sent a congratulatory letter to the expo, pointing out that AI, as an important driving force for a new round sci-tech revolution and industrial transformation, will have a far-reaching impact on global economic and social development and human civilization progress. In his letter, Xi also noted that China has attached great importance to the development of AI, actively driven the deep integration of the Internet, big data and AI with real economy to cultivate and build the intelligent industry, accelerate the development of new quality productivity, and provide new momentum for high-quality development.
Chen Min’er, secretary of the CPC Tianjin Committee, addressed the opening ceremony of the expo. Wan Gang, chairman of China Association for Science and Technology, delivered the keynote speech. Hu Henghua, mayor of Chongqing; Wu Zhaohui, vice president of Chinese Academy of Sciences; Liu Liehong, head of the National Data Administration; Long Teng, vice minister of the Ministry of Science and Technology; and Shan Zhongde, vice minister of the Ministry of Industry and Information Technology, addressed the expo, respectively. Tianjin Mayor Zhang Gong presided over the opening ceremony.
In his speech, Chen Min’er pointed out that Tianjin has been adhering to sci-tech innovation and industrial innovation at the same time, actively propelling exploration and practical applications in the realm of AI, and accelerating the development of new quality productivity to better empower its high-quality development and living. Chen added, “Leading sci-tech innovation with intelligence, Tianjin will rev up the R&D and application of some key core technologies, vigorously develop the sci-tech service sector, streamline the supply and demand channels for sci-tech achievements, boost sci-tech and innovation parks to improve their quality and efficiency, and accelerate the inter-sector application of AI to help innovation and breakthroughs in the fields of life science, low-carbon technology, and future research.
According to Hu Henghua, Chongqing is speeding up in digital industrialization and industrial digitization to build itself into a new digital economy highland. The 2025 World Intelligence Expo is scheduled to be held in Chongqing. Hu invited everyone to delineate a new AI landscape together, share golden opportunities during the digitization of Chongqing, and co-build a promising future in the AI era.
Wu Zhaohui suggested strengthening the inter-discipline cooperation to consolidate the AI research foundation, enriching AI scenarios with applets, and deepening industry-institute interactions to build an AI innovation ecosystem.
Zeng Yi, chairman of China Electronics Corporation; Chen Zhongyue, chairman of China Unicom; Yang Yuanqing, chairman and CEO of Lenovo; and Zhou Hongyi, founder of Qihoo 360 delivered speeches.
Contact: Xing MeiqiTel: 0086-22-28209030E-mail: [email protected]
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