Shawn Deggans is a Azure Solutions Architect, AI Engineer, and IoT Specialist dedicated to leveraging data and AI for innovative solutions.
From Hype to Reality: Generative AI in Today’s Information Stack
Understanding the transition of generative AI from a novel concept to a vital component of contemporary information systems.
Exploring the impact of generative AI on business intelligence and decision-making processes.
Customizing AI: Building Your Own ChatGPT with Proprietary Data
Strategies for developing a personalized ChatGPT model using company-specific data.
Addressing data privacy and security in custom AI model development.
Innovation in Media: AI for Video and Music Generation
Exploring AI tools capable of generating video and music content.
Assessing the implications for marketing, content creation, and customer engagement.
Next-Generation Neural Networks: Beyond Traditional Models
Introduction to cutting-edge neural network architectures.
Evaluating the business applications and efficiencies of these advanced models.
Vector Stores and Graph Data: Enhancing AI Data Management
Understanding the role of vector stores and graph data in AI.
Discussing how these tools improve data analysis and AI model performance.
Embedded AI and Wearable Hardware: The Edge of Innovation
Examining AI integration in wearable and embedded devices.
Discussing the implications for consumer products, healthcare, and IoT.
Agent-to-Agent Communication: The Future of AI Interactions
Exploring the concept of AI agents communicating and negotiating with each other.
Potential business applications and scenarios in logistics, supply chain, and customer service.
Purpose-Built Smaller Models: Specialized AI Solutions
The trend towards smaller, specialized AI models tailored for specific business needs.
Discussing the advantages in terms of efficiency, cost, and deployment.
A Marketplace of AI Agents: Exploring New Business Models
The emergence of marketplaces offering diverse AI agents.
Strategic considerations for participating in or developing such marketplaces.
Conclusion: Navigating the AI Landscape
Summarizing the potential and challenges of these advanced AI tools.
Emphasizing the role of C-suite in steering companies through the evolving AI landscape.
Encouraging proactive adoption and ethical considerations of AI technologies.