Exploring the Future of Generative AI_ Applications, Challenges, and Opportunities.pptx

[Presented at JAWS PANKRATION 2024]
Explore the future of Generative AI and its vast potential in transforming industries.

This session delved into the applications, challenges, and opportunities of Generative AI, highlighting how cloud technology enhances its scalability and accessibility.

Attendees learnt how to harness AWS services and best practices to build and deploy Generative AI apps efficiently.

We discussed boosting workforce confidence, identifying proof-of-concepts to understand the ethical considerations and societal impacts of Generative AI while discovering sustainable practices in the cloud.

Attendees joined us to unlock the transformative power of Generative AI and drive innovation in your organization.

1. Exploring the Future of Generative AI: Applications, Challenges, and Opportunities Md. Mostafa Al Mahmud AWS Community Builder Dhaka, Bangladesh

2. https://mdmostafa.com/ https://www.linkedin.com/in/md-mostafa/ https://twitter.com/md__mostafa Senior Software Engineer Cogwheel Analytics Md. Mostafa Al Mahmud @ 2024, Md. Mostafa Al Mahmud

3. Worked in the projects of some valuable brands @ 2024, Md. Mostafa Al Mahmud

4. Community Activities @ 2024, Md. Mostafa Al Mahmud

5. Agenda Introduction to Generative AI Applications, Challenges and Considerations The Role of Cloud Technology Building and Deploying AI Apps Empowering the Workforce Ethical Considerations and Sustainability AWS Services for Generative AI The Future of Generative AI Key Takeaways @ 2024, Md. Mostafa Al Mahmud

6. Generative AI: A New Era of Innovation Definition of Generative AI Gen AI history and evolution Gen AI’s interest and potential impact @ 2024, Md. Mostafa Al Mahmud

7. Applications of Generative AI Unlocking Creativity and Efficiency Content creation (e.g., art, music, writing) Drug discovery and development Personalized marketing and recommendations Customer service and support Architectural design and urban planning and so on @ 2024, Md. Mostafa Al Mahmud

8. Challenges and Considerations Navigating the Complexities Ethical concerns (e.g., bias, copyright) Technical limitations (e.g., computational power, data quality) Societal impacts (e.g., job displacement, privacy) @ 2024, Md. Mostafa Al Mahmud

9. Opportunities with Generative AI Enhancing Creativity and Innovation New Business Models Collaboration with Cloud Technologies @ 2024, Md. Mostafa Al Mahmud

10. Building and Deploying AI Apps Harnessing AWS Best Practices Data preparation and preprocessing Model selection and training Deployment and monitoring Case studies of successful AI applications @ 2024, Md. Mostafa Al Mahmud

11. Empowering the Workforce Fostering AI Literacy and Confidence Training and upskilling employees Building a culture of innovation Addressing concerns about job displacement @ 2024, Md. Mostafa Al Mahmud

12. Ethical Considerations and Sustainability Responsible Gen AI Development Bias mitigation and fairness Transparency and accountability Privacy and data protection Green cloud computing initiatives @ 2024, Md. Mostafa Al Mahmud

13. The Role of Cloud Technology Scaling and Accelerating AI Cloud infrastructure for AI workloads AWS services for Generative AI (e.g., SageMaker, EC2, S3) Benefits of cloud-based AI (scalability, accessibility, cost-efficiency) @ 2024, Md. Mostafa Al Mahmud

14. AWS Services for Generative AI Empowering Innovation with AWS SageMaker: Build, train, and deploy models at scale EC2: Compute instances for AI workloads S3: Object storage for data and models Lambda: Serverless computing for event-driven AI applications Comprehend: Natural language processing for text analysis Rekognition: Image and video analysis Amazon Bedrock: Gen AI with FMs @ 2024, Md. Mostafa Al Mahmud

15. Analyzing and Understanding Data Extracting Insights from Data Data analysis and visualization tools (e.g., Athena, QuickSight) Data pipelines and ETL processes (e.g., Glue, Kinesis) Machine learning for predictive analytics @ 2024, Md. Mostafa Al Mahmud

16. Business Applications of Generative AI Driving Business Value Personalized customer experiences Improved operational efficiency Product innovation and development Risk management and fraud detection Image editing and restoration Data augmentation Medical imaging etc. @ 2024, Md. Mostafa Al Mahmud

17. The Future of Generative AI What Lies Ahead? Evolving AI capabilities and future research Potential for AI-human collaboration New business models and opportunities Need more gen AI–literate employees The next productivity frontier (banking, retail, customer operations, marketing and sales, Software engineering, and so on) @ 2024, Md. Mostafa Al Mahmud

18. Key Takeaways Generative AI's Potential Applications and Challenges Cloud Technology's Role Ethical and Sustainable AI Workforce Empowerment Continuous Learning @ 2024, Md. Mostafa Al Mahmud

19. Resources https://generativeai.net/ https://en.wikipedia.org/wiki/Generative_artificial_intelligence https://aws.amazon.com/ai/generative-ai/ https://aws.amazon.com/ai/generative-ai/services/ https://aws.amazon.com/what-is/generative-ai/ https://aws.amazon.com/ai/generative-ai/use-cases/ https://skillbuilder.aws/generative-ai https://docs.aws.amazon.com/solutions/latest/generative-ai-application-builder-on-aws/solution-overview.html *All images generated from https://pixlr.com/image-generator/ @ 2024, Md. Mostafa Al Mahmud Resources

20. Be connected with me @ 2024, Md. Mostafa Al Mahmud

21. Thank you @ 2024, Md. Mostafa Al Mahmud