Data Science Conference | 2025 Data Science Conference | Data Science, and Digital Health | Paris, France

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Renowned Speakers

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Rune Hylsberg Jacobsen

Aarhus University, Denmark Denmark

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Naoki Wakamiya

Osaka University, Japan Japan

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Morio Toyoshima

National Institute of Information and Communications Technology, Japan Japan

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Dave Cavalcanti

Principal Engineer, Intel Corporation, Hillsboro, USA USA

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Mário Marques da Silva

Universidade Autónoma de Lisboa, Portugal Portugal

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Mathini Sellathurai

Heriot-Watt University, UK UK

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Sangkil Kim

Pusan National University, Busan, Republic of Korea South Korea

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Felicia Pham

Vice President at Vietnam Trade & Investment Promotion Club - Adjunct Professor, SSBM, Vietnam Vietnam

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Data Science 2025

About Conference

The 4th International Conference on Information Technology, Data Science, and Digital Health is a premier global forum that brings together pioneers, innovators, and thought leaders from academia, industry, and healthcare. Set against the backdrop of the vibrant city of Paris, France, this conference, themed "Shaping Tomorrow: Digital Health Redefined," will take place on May 14-15, 2025.

This event focuses on the transformative role of IT and data science in revolutionizing healthcare and digital innovation. It offers an unparalleled opportunity for participants to explore cutting-edge advancements in IoT, artificial intelligence, healthcare informatics, big data analytics, and next-generation IT applications. By fostering collaboration across diverse disciplines, the conference aims to catalyze groundbreaking innovations and address pressing challenges in digital health and information technology.

Renowned scientists, accomplished researchers, and industry experts will converge to share their expertise and insights. The conference will feature keynote speeches, panel discussions, and interactive workshops designed to inspire, educate, and equip attendees with the tools needed to redefine the future of technology and healthcare.

Join us in Paris for this transformative event, where ideas meet innovation, and tomorrow’s digital health solutions take shape today. Save the dates: May 14-15, 2025!

Why Attend?

The DATA SCIENC 2025 offers an exceptional platform for attendees to:

  • Discover Cutting-Edge Innovations: Stay ahead by exploring the latest advancements in IoT, AI, big data analytics, and healthcare informatics.
  • Learn from Renowned Experts: Gain insights from world-class keynote speakers, panelists, and industry leaders.
  • Collaborate Across Disciplines: Network with global pioneers from diverse fields, fostering partnerships that drive innovation.
  • Engage in Hands-On Learning: Participate in interactive workshops and discussions that provide practical skills and actionable knowledge.
  • Shape the Future of Digital Health: Be part of a community that addresses pressing challenges and redefines technology’s role in healthcare.

Target Audience

  • Academicians and Researchers: Engaged in IT, data science, and healthcare innovation.
  • Healthcare Professionals: Interested in leveraging technology to improve patient care and operational efficiency.
  • IT Specialists and Data Scientists: Focused on developing solutions for the healthcare sector.
  • Industry Leaders and Innovators: Driving digital transformation in technology and healthcare.
  • Policymakers and Regulators: Shaping the future of healthcare technology frameworks.
  • Graduate and Postgraduate Students: Aspiring professionals eager to learn from global experts and explore cutting-edge trends.

Sessions & Tracks

  • AI in Healthcare
    Artificial Intelligence is revolutionizing the healthcare industry with applications in diagnostics, predictive analytics, robotic surgery, and personalized medicine, enabling faster and more accurate decision-making.
  • Big Data in Healthcare
    Big Data leverages vast and diverse datasets to identify trends, enhance patient care, and improve resource allocation in healthcare systems, driving better clinical and operational outcomes.
  • Telemedicine and Virtual Care
    Telemedicine has transformed healthcare delivery, allowing patients to consult doctors remotely, reducing barriers like travel and improving access to medical services, especially in rural areas.
  • Health Informatics
    Health informatics integrates information technology and data science to optimize healthcare management, from patient records to decision support systems, enhancing the quality and efficiency of care.
  • Cybersecurity in Digital Health
    With increasing reliance on digital health solutions, robust cybersecurity strategies are critical to protect sensitive patient information and ensure trust in healthcare systems.
  • Blockchain in Healthcare
    Blockchain offers a decentralized and tamper-proof solution for managing patient records, tracking the supply chain of drugs, and ensuring transparency in healthcare operations.
  • Smart Hospitals and IoT
    Smart hospitals use IoT-enabled devices to monitor patients in real time, automate routine tasks, and create an integrated healthcare ecosystem for better outcomes.
  • Digital Health Policies and Ethics
    This track explores how policy frameworks and ethical considerations guide the adoption of digital health technologies, ensuring they are equitable, secure, and patient-centric.
  • Wearable Technology and Remote Monitoring
    Wearable devices, like fitness trackers and medical-grade monitors, empower users with insights into their health while enabling physicians to track conditions remotely.
  • Genomics and Personalized Medicine
    Personalized medicine tailors treatments to individual genetic profiles, transforming traditional approaches by focusing on prevention and precision in therapy.
  • Virtual Reality (VR) and Augmented Reality (AR) in Medicine
    VR and AR technologies offer immersive experiences for medical training, patient education, pain management, and enhancing surgical precision.
  • Health Equity and Technology
    This track examines how digital innovation can reduce disparities in healthcare access and outcomes, ensuring inclusivity across diverse populations.
  • AI-Powered Drug Discovery
    AI accelerates drug discovery processes by analyzing biological data, identifying drug candidates, and optimizing clinical trials, drastically reducing development time and cost.
  • Predictive Analytics in Public Health
    Predictive analytics uses data modeling to anticipate public health trends, enabling proactive measures against epidemics, resource shortages, and chronic disease burdens.
  • Smart Medical Devices
    These devices combine technology and healthcare, offering innovations such as implantable sensors, connected inhalers, and AI-assisted diagnostic tools.
  • Cloud Computing in Healthcare
    Cloud platforms facilitate secure and scalable storage of health data, support telemedicine applications, and streamline collaboration among healthcare providers.
  • Education and Training in Digital Health
    Digital tools like virtual simulations, e-learning platforms, and AR/VR technologies are enhancing medical training, bridging knowledge gaps, and improving skill development.
  • 5G and Connectivity in Digital Health
    The ultra-fast and reliable connectivity of 5G supports real-time telemedicine, wearable tech integration, and advanced remote surgery, revolutionizing digital healthcare.
  • Sustainable Digital Health Solutions
    Innovations in digital health aim to reduce carbon footprints by optimizing resource use, implementing energy-efficient technologies, and promoting telehealth to cut down on travel.
  • Digital Therapeutics and Mobile Health (mHealth)
    Digital therapeutics use evidence-based apps and devices to treat diseases, while mHealth enables mobile-based interventions for fitness, disease management, and patient engagement.
  • Crypto Trading
    Crypto trading involves buying and selling cryptocurrencies, leveraging blockchain technology for secure transactions, and offering new financial opportunities in the global market.
  • Cryptocurrency
    Cryptocurrencies like Bitcoin and Ethereum provide decentralized, transparent, and secure alternatives to traditional financial systems, with applications beyond finance, including healthcare.
  • Cloud Computing
    Cloud computing provides scalable and efficient solutions for managing data and enabling innovation across industries, including healthcare, education, and finance.

Market Analysis

The data science industry is at the forefront of transformative change, redefining how businesses operate and innovate. By 2025, the global economy will be driven by unprecedented advancements in data analytics, artificial intelligence, and automation, empowering organizations to make smarter decisions and gain a competitive edge. The 2025 Data Science Conference offers an unmatched opportunity to explore the emerging trends, challenges, and innovations shaping the future of data-driven industries.

The global data science market, valued at $95 billion in 2023, is expected to exceed $200 billion by 2028, growing at a CAGR of 13.8%. Key trends like data democratization are empowering non-technical professionals with user-friendly analytics tools, fostering a culture of data-driven decision-making. AI and machine learning are transforming industries, with AI-driven analytics expected to power over 60% of enterprise applications by 2025. Meanwhile, edge computing, projected to grow at a CAGR of 19.3%, is enabling real-time insights, especially in manufacturing and logistics.

Despite opportunities, challenges like a 50% talent shortage and growing concerns over data ethics and privacy require attention. The 2025 Data Science Conference will address these issues, featuring global experts, interactive workshops, and networking opportunities to help participants harness trends, navigate challenges, and lead in the evolving data landscape. This event is essential for staying competitive in the rapidly expanding world of data science.

Participation Options and Benefits

Participation Options: Data Science Conference provides the participants with different modes or ways to participate such as Delegate or Speaker under ACADEMIC / STUDENT / BUSINESS Category. Mode of participation is Online through Power Point Presentation/ Video Presentation on Cisco Webinars.

  • Keynote speaker: 45-50 minutes
  • Speaker (oral presentation): 25-30 minutes (only one person can present)
  • Speaker (workshop): 45-50 minutes (more than 1 can present)
  • Speaker (special session): 45-50 minutes (more than 1 can present)
  • Speaker (symposium): more than 45 minutes (more than 1 can present)
  • Delegate (only registration): will have access to all the sessions with all the benefits of registration
  • Poster presenter:  can present a poster and enjoy the benefits of delegate
  • Remote attendance:  can participate via video presentation or e-poster presentation
  • Exhibitor: can exhibit his/her company’s products by booking exhibitor booths of different sizes
  • Media partner
  • Sponsor
  • Collaborator

Benefits of Joining Conference:

  • Get your abstract published with DOI
  • Get Certified for your participation
  • Reduced Costs Affordability
  • Knock Down Geographical Barriers
  • Convenience from comfort of your own home or from work
  • They’re Archived: Ability to view events in the recording
  • Great resource for learning new career skills
  • Learn from the Pros
  • Global exposure to your research
  • Make new connections
  • Significant time saving
  • Wider Reach
  • Position yourself as the expert
  • Get your abstracts published with unique DOI in International Journals
  • Get up to 50% discounts for publishing your entire article in our open access International Journals
  • Get Handbooks and conference kits

Get an access to the network with eminent personalities from worldwide.

To Collaborate Scientific Professionals around the World

Conference Date May 14-15, 2025

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Past Conference Report

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Journal of Electrical Engineering and Electronic Technology Journal of Information Technology & Software Engineering American Journal of Computer Science and Information Technology

All accepted abstracts will be published in respective Conference Series International Journals.

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Keytopics

  • Academia Collaboration
  • AI Advancements
  • Anomaly Detection
  • AutoML
  • Behavioral Analytics
  • Big Data
  • Blockchain
  • Cloud Platforms
  • Data Privacy
  • Data Visualization
  • Democratization
  • E-commerce
  • Edge Computing
  • Ethics
  • Fraud Detection
  • Governance
  • Healthcare Applications
  • IoT Insights
  • Machine Learning
  • Multi-Cloud
  • NLP
  • Personalization
  • Quantum Computing
  • Real-Time Analytics
  • Self-Service Tools
  • Sentiment Analysis
  • Supply Chain
  • Sustainability
  • Talent Gap
  • Upskilling