The future of healthcare is here, and it's more personal than ever. Join Dr. Darren, your host and chief enterprise architect, as he chats with Dr. Ami Bhatt, Chief Innovation Officer at the American College of Cardiology. Together, they discuss the integration of AI in medicine, uncovering how this technology is reshaping patient care and enhancing clinician efficiency.

## Key Takeaways:
- First Mile of Healthcare: Dr. Bhatt emphasizes the importance of bringing care back to patients' homes, redefining the healthcare experience, and inviting community involvement in shaping this shift.
- AI as a Tool: Rather than replacing clinicians, AI supports and enhances their expertise, providing insights that empower decision-making and reinforce their vital role in patient care.
- **Value-Based Care**: There's a growing shift towards value-based healthcare, rewarding outcomes rather than services, aiming for healthier patients and better care.
- **Preventative Health**: Early intervention is crucial, and leveraging technology can help identify risks before they escalate into severe conditions.
- Community Knowledge: The collaboration of clinicians in creating AI models ensures that technology is grounded in real-world experience, fostering trust and enthusiasm for future innovations.

## Chapters:
- 00:00 - Introduction to Dr. Ami Bhatt
- 05:30 - The Evolution of Telemedicine
- 10:15 - AI in Clinical Decision Support
- 15:00 - Value-Based vs. Fee-for-Service Care
- 20:45 - The Importance of Preventive Care
- 25:30 - Looking Toward the Future of Healthcare
- 30:00 - Community Involvement in AI Development
- 35:00 - Conclusion and Call to Action

If you're a healthcare professional or researcher interested in healthcare innovation, don’t miss this insightful conversation. Subscribe to the podcast for more expert discussions on digital transformation in healthcare and beyond.

Blog Post: https://embracingdigital.org/en/episodes/edt-319/index.html

Dr. Darren chats with Mehul Shah, founder and CEO of Aaron AI, to explore how artificial intelligence is tackling the challenge of unstructured data. Discover how technologies are evolving to enable businesses to extract valuable insights from massive datasets and the crucial role of accuracy in this rapidly changing landscape.

## Key Takeaways
- AI and Unstructured Data: The integration of AI technologies such as natural language processing (NLP) and computer vision is revolutionizing how companies handle vast amounts of unstructured data, allowing for more efficient data extraction and analysis.
- Importance of Accuracy: High accuracy levels (97-98%) are vital for knowledge workers, helping them feel confident and assured in their decisions.
- Divide and Conquer Strategy: Techniques like divide and conquer enable enterprises to manage large datasets effectively, empowering teams to feel more capable in data processing.
- **Human-AI Collaboration**: AI is designed to augment human capabilities, not replace them, leading to improved workflows and reduced tedious tasks.
- **Consensus Approach**: Leveraging multiple AI models can enhance accuracy by finding consensus in data extraction results, significantly reducing uncertainty.

## Chapters
- 00:00 - Introduction to AI and Data Transformation
- 03:10 - Mehul Shah's Background and Journey
- 06:50 - Understanding Unstructured Data
- 12:20 - The Role of Accuracy in AI
- 18:00 - Divide and Conquer Methodology
- 25:30 - Collaborating with AI for Enhanced Productivity
- 32:00 - Engaging with Aaron AI
- 35:40 - Closing Remarks and Future of AI

Join us for this enlightening discussion and gain valuable insights into how digital transformation powered by AI can impact your organization’s approach to data!

Have you ever wondered how AI is reshaping the digital landscape? Join Dr. Darren, your host, as he dives into a riveting discussion with Iran Kerzner, the CEO and founder of Lightbits Labs. They explore the critical intersections of data, AI, and infrastructure, and how businesses can navigate this transformative landscape for competitive advantage.

## Key Takeaways:
- **Understanding AI's Impact**: AI is reshaping workloads in various sectors, especially in e-commerce, finance, and cloud services.
- **Shift in Data Management**: Workloads are moving from traditional VMware environments to Kubernetes-based systems as they embrace a cloud-native approach.
- **The GPU Dilemma**: While GPUs are optimized for large data sets, tomorrow’s inference systems may pivot toward more specialized hardware for improved efficiency.
- **Software-Defined Infrastructure**: Future data centers must transition toward more flexible and adaptive infrastructures to keep pace with evolving workloads.
- **Increased Collaboration**: The need for collaboration between compute, storage, and networking is imperative in developing solutions that are agile and efficient.

## Chapters:
- 00:00 Introduction to AI & Data Transformation
- 02:05 Origin Story of Iran Kerzner
- 05:55 The Role of AI in Business Workloads
- 10:30 Transitioning to Kubernetes-Based Systems
- 15:45 Understanding GPU vs. CPU in Inference
- 22:00 Future of Data Center Infrastructure
- 30:15 Software Defined Storage Solutions
- 35:00 Conclusion and Call to Action

Explore this eye-opening conversation to discover how you can leverage AI and data strategies to drive your organization's success. Be sure to share, comment, and let us know your thoughts!