
Unleashing Human Potential with AI & Data Science - Auckland, New Zealand
- Price $0.00 USD
- Abstract Unleash the power of AI and data science to revolutionize industries and improve human lives. From personal finance to personalized healthcare, AI is transforming how we live and work. Join us to explore the latest advancements in AI, from machine learning to natural language processing. Connect with global leaders, industry practitioners, and policymakers to learn how data science and AI can be applied to address global challenges. Discover how AI can optimize business operations, enhance public services, and improve societal well-being.
- Date Fri, 08/13/2027 - 17:00
- Location New Zealand
- Reservation Presentations
Description
AI & Data Science: Improving Life, Business & Government
The next 20 years promise a world fundamentally reshaped by AI and Data Science. Beyond personalized assistants, these technologies will empower individuals and institutions to achieve unprecedented success. From improving personal decision-making in areas like money management, investing, personalized healthcare and education to revolutionizing industries, the potential is limitless.
By attending our conference in Auckland, New Zealand, you'll gain insights into the latest trends, best practices, and real-world applications of these cutting-edge technologies.
Why Attend?
Network with Experts: Learn from and connect with leading researchers, industry practitioners, and policymakers.
Gain New Skills: Learn from renowned experts through engaging presentations and workshops.
Explore Emerging Trends: Discover the latest advancements in AI and Data Science.
Inspire Innovation: Find inspiration to drive innovation in your organization or personal life.
Key Conference Tracks
AI for Life: Explore how AI can improve quality of life, human well-being and healthcare.
AI for Business: Learn how AI can drive innovation and optimize business operations.
AI for Government: Discover how AI can enhance society well-being, public services and address societal, healthcare, finance, regulatory and legal system challenges.
Conference Highlights
Keynote Speakers: Renowned experts will share their insights on the future of AI and Data Science.
Panel Discussions: Engage in thought-provoking discussions with leaders.
Hands-on Workshops: Learn practical skills and techniques through interactive workshops.
Poster Sessions: Discover cutting-edge research and innovative projects.
Primary Audience for Conference Attendees
AI and Data Science Professionals:
Data Scientists
AI/Machine Learning Engineers
AI Researchers
Software Engineers
Product Managers
UX Designers
Individuals: Anyone interested in radically improving their life leveraging AI and Data Science.
Business Organizations: Executives, managers, and analysts seeking to leverage AI and Data Science for competitive advantage.
Non-Profit Organizations: Leaders and staff working to use technology for social good.
Government Agencies: Officials and policymakers shaping the future of AI and Data Science regulation and policy.
Education Institutions: Faculty, researchers, and students exploring the educational implications of AI and Data Science.
Government Officials.
Healthcare Professionals.
Tech Entrepreneurs.
Professionals seeking to advance their knowledge and network with peers.
Consulting firms: Companies that provide AI and Data Science consulting services.
Venture capital firms: Investors looking for opportunities in AI and Data Science startups.
Law firms: Legal professionals who need to understand the legal implications of AI and Data Science.
Marketing and advertising agencies: Companies that use AI and Data Science to improve their marketing campaigns.
Financial institutions: Banks, insurance companies, and other financial institutions that use AI and Data Science to manage risk and improve their products and services.
Retailers: Companies that use AI and Data Science to improve their supply chain and customer experience.
Students and recent graduates: Those interested in pursuing careers in AI and Data Science.
Hobbyists and enthusiasts: People who are passionate about AI and Data Science and want to learn more.
Main Conference Subject Areas
Life:
AI for Personal Well-being: Explore how AI can enhance mental health, physical fitness, and overall quality of life.
AI-Powered Healthcare: Discuss the potential of AI in medical diagnosis, drug discovery, and personalized treatment plans.
Personal Assistants: Streamline personal finances, optimize investment decisions, optimize tasks and schedules, provide personalized recommendations and more.
Business:
AI-Driven Innovation: Delve into the innovative applications of AI in various industries, such as finance, marketing, and manufacturing.
Data-Driven Decision Making: Explore how data science can empower businesses to make informed decisions and optimize operations.
AI and the Future of Work: Discuss the impact of AI on the workforce, including automation, job creation, and skill development.
Government:
AI for Public Good: Explore how AI can be used to address societal challenges, such as climate change, poverty, and inequality.
AI-Enabled Governance: Discuss the potential of AI in improving government efficiency, transparency, and accountability.
AI and National Security: Examine the role of AI in cybersecurity, intelligence, and defense.
Ethical AI and Societal Impact: Examine the ethical considerations and societal implications of AI, including bias, privacy, and job displacement.
Experiencing Auckland, New Zealand
Auckland, New Zealand, is a vibrant city nestled between two harbors, the Waitemata and the Manukau. It's known for its stunning natural beauty, with numerous volcanic cones dotting the landscape. The city offers a diverse range of experiences, from exploring the lively waterfront to hiking through lush rainforests.
You can visit the Auckland Domain, a historic park with a beautiful Wintergarden, or take a ferry to the picturesque islands of Waiheke or Rangitoto. Auckland is also a foodie's paradise, with a thriving culinary scene offering everything from fresh seafood to international cuisine. Here are some cool adventures:
Hike a Volcano: Auckland is home to several dormant volcanoes. Climb to the top of One Tree Hill or Mount Eden for panoramic views of the city and harbor.
Island Escape: Take a ferry to Waiheke Island, known for its stunning beaches, world-class vineyards, and laid-back atmosphere.
Kayak to Rangitoto Island: Paddle across the calm waters of the Hauraki Gulf to Rangitoto Island, an active volcano with unique lava flows and stunning coastal scenery.
SkyJump from the Sky Tower: For the adrenaline junkies, leap from the top of the Sky Tower, New Zealand's tallest freestanding structure, and experience the thrill of free fall.
Explore the Waitakere Ranges: Hike through lush rainforests, discover secluded waterfalls, and witness dramatic coastal views in the Waitakere Ranges, a stunning natural wonderland.
Call for Presentations & Papers
This event will bring together leading data professionals, policymakers, and innovators to share insights, discoveries, and practical applications of AI and data science.
We invite you to contribute your expertise and join us in shaping the future of AI and data science. We are seeking compelling presentations, papers, workshops, and lightning talks that offer original research, innovative solutions, real-world case studies, and thought-provoking analyses.
Main Conference Subject Areas
Life
This track focuses on how AI can enhance individual well-being and revolutionize personal experiences. We encourage submissions on:
- AI for Personal Well-being: Explore how AI can enhance mental health support, optimize physical fitness regimes, and improve overall quality of life.
- AI-Powered Healthcare: Discuss the potential of AI in accelerating medical diagnosis, streamlining drug discovery, and enabling truly personalized treatment plans.
- Personal Assistants: Showcase AI's ability to streamline personal finances, optimize investment decisions, automate tasks and schedules, and provide personalized recommendations for various aspects of daily life.
Business
This track delves into the strategic implementation and impact of AI within the commercial landscape. We're particularly interested in:
- AI-Driven Innovation: Delve into innovative applications of AI across diverse industries, such as finance, marketing, and manufacturing, highlighting new products, services, and operational efficiencies.
- Data-Driven Decision Making: Explore how data science and AI can empower businesses to make more informed strategic and operational decisions, leading to optimized performance and competitive advantage.
- AI and the Future of Work: Discuss the profound impact of AI on the workforce, including automation trends, the potential for job creation, and the necessary evolution of skill development.
Government
This track examines the role of AI in public service, governance, and national security. We welcome submissions on:
- AI for Public Good: Explore how AI can be effectively utilized to address pressing societal challenges, such as climate change mitigation, poverty reduction, and tackling inequality.
- AI-Enabled Governance: Discuss the potential of AI in improving government efficiency, fostering greater transparency, and enhancing accountability in public services.
- AI and National Security: Examine the critical role of AI in strengthening cybersecurity defenses, enhancing intelligence gathering and analysis, and advancing defense capabilities.
- Ethical AI and Societal Impact: This cross-cutting theme encourages submissions that critically examine the ethical considerations and broader societal implications of AI, including issues of bias, privacy, and job displacement.
Submission Types
We invite various types of submissions to ensure a rich and diverse program:
- Oral Presentations (20 minutes): Share your research findings, innovative applications, case studies, or best practices in a focused presentation.
- Technical Papers (Full Length, 8-12 pages, IEEE format): Submit original, unpublished research that will undergo a rigorous peer-review process. Accepted papers will be published in the conference proceedings.
- Experience & Insight Papers (4-6 pages, formatted for readability): This category is for practitioners, industry leaders, and innovators to share valuable lessons learned, practical case studies, real-world implementations, and insightful perspectives on the challenges and successes encountered in the development, deployment, or strategic adoption of AI. These papers should focus on practical applications, best practices, and actionable insights. Submissions will be peer-reviewed for clarity, relevance, and practical value.
- Poster Presentations: Visually showcase preliminary results, ongoing research, or innovative concepts. There will be a dedicated poster session for interactive discussions.
- Panel Proposals (60 minutes): Suggest and moderate a discussion among 3-5 experts on a controversial, emerging, or complex topic related to AI's impact on life, business, or government.
- Workshop Proposals (60 minutes): Propose an interactive, hands-on session focused on practical skills, tools, or methodologies related to AI development or deployment within the conference themes.
Submission Guidelines
- Abstract: All submissions (except workshop proposals) must include a concise abstract (maximum 300 words) summarizing the problem, approach, key findings/insights, and conclusions.
- Author Information: Include full names, affiliations, and a brief professional biography (max 100 words per author).
- Keywords: Provide 3-5 relevant keywords that best describe your submission.
- Originality: Submissions must represent original work that has not been previously published or is not currently under review elsewhere.
- Audience Consideration: Presenters should be prepared to convey complex technical or theoretical concepts clearly to a diverse audience, including both technical and non-technical attendees.
- Formatting: Specific formatting guidelines for full papers will be provided upon the submission portal opening.
Review Process
All submissions will undergo a rigorous peer-review process by the Program Committee, comprising leading experts in AI and related domains. Submissions will be evaluated based on:
- Relevance to conference themes
- Originality and novelty of contributions
- Technical merit and soundness (for technical papers)
- Clarity, organization, and presentation quality
- Potential impact and practical applicability
We look forward to your valuable contributions and to a stimulating discussion on the diverse applications and implications of AI and data science!