Global Summit on
Artificial Intelligence and Software Technology
Shaping Global Innovation Through AI and Software Technologies
October 1-2, 2026 | Paris, France
AI conference
GSAIST 2026 isn’t merely another industry event-its the worlds open living room for fresh ideas, bold leadership, and cooperative thinking about the fast-moving story of artificial intelligence. Crafted to pull researchers, engineers, start-up dreamers, corporate chiefs, and policy shapers into the same space, the summit lets you dig into how AI and sister technologies are already reshaping work, health, art, and daily life.
Whether youre fine-tuning a deep-learning engine, sketching an ethics guide, rolling out a smart health app, or simply chasing a hunch about tomorrows tech, your path forward starts here. Over three eye-opening days you will break bread with trailblazers, attend visionary keynotes, scan the latest research, swap ideas around the globe, and leave with practical take-aways that will guide your project for years.
Show-and-tell isnt the goal; the real aim is to figure what intelligent tools ought to do-for people, businesses, and the planet-so that every advance moves us toward a fairer, cleaner future. Together we will weigh hard questions, spot shared opportunities, and imagine systems that tackle climate change, close knowledge gaps, and still respect individual dignity.
Come help build that future thoughtfully, responsibly, and side by side with old friends and new rivals at AIET 2026.
Key topics:
- AI in Healthcare
- Generative AI
- Robotics & Automation
- AI Ethics & Regulation
- AI in Industry 4.0
- Quantum Computing & AI
The International Conference on AI and Software Technology 2026 brings together researchers, academicians, industry professionals, innovators, and policymakers to explore recent advances, challenges, and future directions in Artificial Intelligence and Software Technology.
The conference serves as a global platform for sharing cutting-edge research, real-world applications, and emerging trends that shape modern software systems and intelligent technologies.
Key topics:
- Artificial Intelligence & Machine Learning
- Generative AI & Intelligent Systems
- Advanced Software Engineering
- Cloud Computing, DevOps & MLOps
- Data Science & Big Data
- Cybersecurity & Ethical AI
- Industry Applications & Digital Transformation
Who Should Attend
- Researchers & Academicians
- Software Engineers & Architects
- AI & Data Science Professionals
- Industry Experts & Technology Leaders
- Startup Founders & Innovators
- Graduate & PhD Scholars
- Policymakers & Technology Strategist
Key Summit Highlights
- International Keynote Sessions
- Technical Track Presentations
- Hands-On Workshops & Tutorials
- Industry Case Study Panels
- Ethical AI & Governance Roundtables
- Innovation Expo & Startup Showcase
- Networking Gala & Mentorship Hubs
- Hackathons & Competitions
- Awards for Best Research, Innovation & Startups
Who Will Attend
The Global Summit on AI and Software Technologies 2026 welcomes participants from academia,
industry, and research communities worldwide, including:
- Researchers & Academicians
Faculty members, scientists, and scholars working in AI, software engineering, and related fields. - Software Engineers & Architects
Professionals involved in software design, development, testing, and system architecture. - AI / ML Engineers & Data Scientists
Experts and practitioners developing intelligent systems, models, and data-driven solutions. - Industry Professionals & Technology Leaders
CTOs, IT managers, product leaders, and decision-makers driving digital transformation. - Startup Founders & Entrepreneurs
Innovators building AI-driven products, platforms, and technology startups. - Policy Makers & Technology Strategists
Professionals shaping AI governance, digital policy, and technology strategy. - Postgraduate & Research Students
Master’s, PhD, and doctoral scholars seeking exposure to advanced research and industry trends. - Trainers, Consultants & Solution Providers
Experts offering specialized services, tools, and platforms in AI and software technologies.
Benefits of Attending
- Global Exposure
Connect with international researchers, industry experts, and innovators from around the world. - Cutting-Edge Knowledge
Gain insights into the latest advancements in Artificial Intelligence and Software Technologies. - Expert Keynotes & Technical Sessions
Learn from renowned speakers, practitioners, and thought leaders across academia and industry. - Practical Learning
Participate in workshops, tutorials, and demonstrations focused on real-world applications. - Networking Opportunities
Build professional relationships with peers, mentors, startups, and technology leaders. - Research Visibility
Present your work, receive expert feedback, and enhance your academic and professional profile. - Career & Innovation Growth
Discover emerging trends, career opportunities, and pathways for innovation and entrepreneurship. - Recognition & Impact
Compete for best paper and presentation awards and gain recognition for your contributions. - Interdisciplinary Collaboration
Engage in cross-domain discussions combining AI, software engineering, data science, and industry applications. - Future-Ready Skills
Stay ahead with knowledge that prepares you for the next generation of intelligent and digital systems.
Who Will Attend
The Global Summit on AI and Software Technologies 2026 welcomes participants from academia,
industry, and research communities worldwide, including:
- Researchers & Academicians
Faculty members, scientists, and scholars working in AI, software engineering, and related fields. - Software Engineers & Architects
Professionals involved in software design, development, testing, and system architecture. - AI / ML Engineers & Data Scientists
Experts and practitioners developing intelligent systems, models, and data-driven solutions. - Industry Professionals & Technology Leaders
CTOs, IT managers, product leaders, and decision-makers driving digital transformation. - Startup Founders & Entrepreneurs
Innovators building AI-driven products, platforms, and technology startups. - Policy Makers & Technology Strategists
Professionals shaping AI governance, digital policy, and technology strategy. - Postgraduate & Research Students
Master’s, PhD, and doctoral scholars seeking exposure to advanced research and industry trends. - Trainers, Consultants & Solution Providers
Experts offering specialized services, tools, and platforms in AI and software technologies.
Benefits of Attending
- Global Exposure
Connect with international researchers, industry experts, and innovators from around the world. - Cutting-Edge Knowledge
Gain insights into the latest advancements in Artificial Intelligence and Software Technologies. - Expert Keynotes & Technical Sessions
Learn from renowned speakers, practitioners, and thought leaders across academia and industry. - Practical Learning
Participate in workshops, tutorials, and demonstrations focused on real-world applications. - Networking Opportunities
Build professional relationships with peers, mentors, startups, and technology leaders. - Research Visibility
Present your work, receive expert feedback, and enhance your academic and professional profile. - Career & Innovation Growth
Discover emerging trends, career opportunities, and pathways for innovation and entrepreneurship. - Recognition & Impact
Compete for best paper and presentation awards and gain recognition for your contributions. - Interdisciplinary Collaboration
Engage in cross-domain discussions combining AI, software engineering, data science, and industry applications. - Future-Ready Skills
Stay ahead with knowledge that prepares you for the next generation of intelligent and digital systems.
GSAIST 2026 – Academic & Science-Oriented Conference Tracks
Track 1: Artificial Intelligence & Machine Learning Topics include (but are not limited to):
- Machine Learning Algorithms & Models
- AI in Industry 4.0
- Quantum Computing & AI
- Robotics & Automation
- Deep Learning & Neural Networks
- Supervised, Unsupervised & Reinforcement Learning
- Natural Language Processing (NLP)
- Computer Vision & Image Processing
- Explainable AI (XAI)
- AI Evaluation & Performance Metrics
Track 2: Generative AI & Intelligent Systems
- Generative AI Models & Architectures
- Large Language Models (LLMs)
- Prompt Engineering & AI Agents
- Text, Image, Audio & Code Generation
- Responsible & Ethical Generative AI
- Conversational AI & Chatbots
- Enterprise GenAI Applications
Track 3: Data Science & Big Data Analytics
- Data Engineering & Data Pipelines
- Big Data Frameworks & Platforms
- Predictive & Prescriptive Analytics
- Data Mining & Knowledge Discovery
- Data Visualization & Storytelling
- AI-Driven Decision Support Systems
Track 4: Software Engineering & Development
- Software Development Life Cycle (SDLC)
- Object-Oriented & Component-Based Design
- Programming Languages (Java, C++, Python, etc.)
- Agile, Scrum & DevSecOps
- Software Testing & Quality Assurance
- Software Maintenance & Evolution
Track 9: AI Applications & Industry Solutions
- Microservices & Distributed Systems
- Cloud-Native Application Architecture
- Event-Driven & Reactive Systems
- API Design & Integration
- High-Performance & Scalable Systems
- Enterprise Software Architecture
Track 6: Cloud Computing, DevOps & MLOps
- Cloud Platforms (IaaS, PaaS, SaaS)
- Hybrid & Multi-Cloud Architectures
- CI/CD Pipelines & Automation
- DevOps Tools & Practices
- MLOps for AI Deployment
- Containerization & Kubernetes
Track 7: Cybersecurity, Privacy & Ethical AI
- Secure Software DesignAI for Cybersecurity
- Privacy-Preserving Technologies
- Data Protection & Compliance
- Ethical, Fair & Trustworthy AI
- AI Governance & Risk Management
Track 8: IoT, Edge Computing & Smart Systems
- Internet of Things (IoT) Architectures
- Edge & Fog Computing
- Embedded & Real-Time Systems
- Smart Cities & Smart Infrastructure
- Industrial IoT & Automation
Track 10: Innovation, Startups & Future Technologies
- AI in Healthcare & Bioinformatics
- AI in Finance & FinTech
- AI in Education & E-Learning
- Smart Manufacturing & Industry 4.0
- AI for Agriculture & Sustainability
- Enterprise AI Solutions
Track 10: Research, Innovation & Case Studies
- AI & Software Startups
- Emerging & Disruptive Technologies
- Research to Product Commercialization
- Innovation Management
- Digital Transformation
- Future Trends in AI & Software Technology
