About The Conference
3rd World Data Congress (WDC-2022) will take place on September 22nd – 23rd, 2022 at San Francisco, CA, USA with a theme “AI & Data Science- What’s Next”
The WDC conference series is where professionals meet the best and brightest innovators in AI and Data Science. The conference aims to brings together top industry and C-level executives to help you understand how AI and data science can transform your business, leading to the next industry revolution. This Conference is part of the World Data Congress series, which is one of the leading series dedicated to Data Science & AI worldwide.
World Data Congress aims to deliver the advancements of AI & data science, its management, innovation, application, latest researches and comprises of presentations, panels and round-table discussions to highlight AI & Data Science scenario, industries automation process, AI implementation and research and other relevant topics. WDC-2022 will provide a valuable opportunity for innovators, researchers and industry experts to exchange their ideas.
Industries covered include Finance, IT, Healthcare, Biotech, Pharma, Travel, Energy, Manufacturing, Retail, Marketing, Transportation, and more
Who Should Attend
CXOs, Founder, Enterprise executives, business leaders, IT decision-makers, heads of innovation, chief data officers, chief data scientists, data analysts, data architects, start-ups and innovators, tech providers, c-level executives, venture capitalists, Management, Engineer/Architect/Developer, Sales / Business Development, Marketing / PR, Technical / IT, Product Management, Strategy / Innovation, Consultant / Advisor Analytics & Data, Education, Operations, Research & Development, Finance Management, HR and Others
Reasons To Attend
- Showcase Solutions & Services to the Industry Leaders
- High-Stake Panel Sessions & Presentations
- Face-To-Face connect with Industry Leaders
- Latest Industry Insights
- Develop AI & Data Science as Core Competency
Featured Themes & Topics
1. Data Science & Analytics
2. Data Strategy and Governance
3. Artificial Intelligence
4. Deep Learning
5. Machine Learning Best Practices
6. Applied AI Innovation
7. Big Data & Data Engineering
8. AI & Data Research
9. MLOps/AIOps
10. AI for the Enterprise
11. Bots / Conversational AI
12. Industry & Innovation: Applied AI, Emerging Trends
13. Uncovering Insights: BI, Data visualization & Case studies
14. Leadership & Strategy
15. AI Powered Solutions