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In this webinar, we dive deep into the groundbreaking capabilities of GPT-4. From its seamless integration into business operations to real-world applications that can revolutionize industries, watch now to get a comprehensive look at how AI is shaping the future of business.

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Topics We Cover:

  • Understanding GPT-4: What Makes It Different

    Explore the distinctive features that set GPT-4 apart in the world of AI as we shed light on its capabilities and the evolution of artificial intelligence toward General Intelligence.

  • Real-World Use Cases That Speak for Themselves

    We provide practical demonstrations of how AI can work for your business. Witness real-world use cases, such as chatbot intake for support and sales, automated approvals for claims and customer service, and the power of smart search, document parsing, and more.

  • Humans vs. AI: Leveraging the Best of Both Worlds

    We delve into the synergy between human expertise and AI capabilities. Discover how to harness the strengths of both to maximize efficiency and productivity in your business operations.

  • How to Get Started With AI in Your Business

    You’ll learn the practical steps to initiate your AI journey. From identifying areas where AI could enhance your business operations to implementing a strategic approach to build a sustainable AI strategy tailored to your business’s unique needs.

Who Should Watch?

This engaging session will empower you to leverage GPT-4's capabilities and enhance business outcomes like never before.

  • Business Leaders

    CEOs, COOs, and executives can uncover how AI drives growth and informs strategic decisions.

  • Corporate Innovators

    Professionals in larger organizations aspiring to foster innovation and lead transformative change through AI.

  • Tech Enthusiasts

    IT professionals and technology leaders gain insights into integrating AI and enhancing IT infrastructure.

Next Steps

Schedule an AI Opportunity Assessment

Curious how AI could integrate into your current business processes and tech stack? Schedule a 30-minute call with Ryan Francis, President of LaunchPad Lab, to identify AI opportunities and chat about all things AI.

FAQ

What makes GPT-4 different from previous AI models?

GPT-4 delivers advanced reasoning, better prompt adherence, and mastery of unstructured data—enabling transformative use cases for businesses.

How can businesses turn AI hype into practical ROI?

Through prompt engineering and API integrations, companies can drive revenue, reduce costs, and improve customer experiences with generative AI.

What are real-world use cases for GPT-4 in business operations?

Intelligent chatbots, smart search, document parsing, and automated evaluations are examples of AI streamlining workflows and boosting efficiency.

How does GPT-4 handle unstructured data like PDFs?

Unlike traditional parsers, GPT-4 interprets unstructured documents using context, making it ideal for data extraction from inconsistent formats.

What’s the difference between using GPT-4’s chat app and its API?

The API allows integration into internal systems like CRMs or customer portals, enabling business-specific, scalable AI use cases.

What is smart search and how does it improve support workflows?

Smart search uses AI to pull insights from proprietary documents or knowledge bases, turning static data into dynamic support tools.

How can AI automate insurance claims or approval workflows?

GPT-4 can read claim letters and policy documents, identify key facts, and deliver early assessments—accelerating claims processing.

Do businesses need to fine-tune their own AI model?

Not usually—prompt engineering often delivers strong results without needing the cost and complexity of model fine-tuning.

What should companies do to prepare data for AI integration?

Centralize, clean, and tag high-priority data sets or documents to make them usable by AI in targeted business use cases.

How should businesses get started with AI implementation?

Begin with an opportunity assessment to identify high-ROI use cases, test with a POC, and integrate AI incrementally into workflows.