Session 1

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San Diego Continuing Education

Technology Travel

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I'm excited to share my latest predictions on how AI, robotics, and other technological advancements will reshape industries in the coming years. The slides explore the exponential growth of computational power, the future of AI and robotics, and their profound impact on various sectors. Why this matters: The success of new products and investments hinges on precise timing and foresight into emerging categories. This deck equips founders, VCs, and industry leaders with insights to align future products with upcoming tech developments. These insights enhance the ability to forecast industry trends, improve market timing, and predict competitor actions. Highlights: ▪ Exponential Growth in Compute: How $1000 will soon buy the computational power of a human brain ▪ Scaling of AI Models: The journey towards beyond human-scale models and intelligent edge computing ▪ Transformative Technologies: From advanced robotics and brain interfaces to automated healthcare and beyond ▪ Future of Work: How automation will redefine jobs and economic structures by 2040 With so many predictions presented here, some will inevitably be wrong or mistimed, especially with potential external disruptions. For instance, a conflict in Taiwan could severely impact global semiconductor production, affecting compute costs and related advancements. Nonetheless, these slides are intended to guide intuition on future technological trends.

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You’ve heard good data matters in Machine Learning, but does it matter for Generative AI applications? Corporate data often differs significantly from the general Internet data used to train most foundation models. Join me for a demo on building an open source RAG (Retrieval Augmented Generation) stack using Milvus vector database for Retrieval, LangChain, Llama 3 with Ollama, Ragas RAG Eval, and optional Zilliz cloud, OpenAI.

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This presentation dives into the practical applications of machine learning within Google's operations, providing a comprehensive overview of how to leverage AI technologies to solve real-world business challenges. Key Points Covered: - Introduction to Machine Learning at Google: Discussion on the role of ML and its evolution in enhancing Google's operational efficiency. - Experience Sharing: Insights into the team's long-term engagement with machine learning projects and the impacts on Google’s operational strategies. - Practical Applications: Real-world examples of ML applications within Google’s daily operations, providing a blueprint to adapt similar strategies. - Challenges and Solutions: Discussion on the challenges faced during the implementation of ML projects and the strategic solutions employed to overcome them. - Future of ML at Google: Insights into future trends in machine learning at Google and how they plan to continue integrating AI into their ecosystem.

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Unlock the mysteries of successful Salesforce interviews in this insightful session hosted by Hugo Rosario (Salesforce Customer), a seasoned hiring manager that leads the Salesforce Department of multinational company with over 100 interviews under their belt. Step into the manager's chair and gain exclusive behind-the-scenes insights into what makes a Salesforce consultant stand out during the interview process. From deciphering the unspoken cues to mastering key strategies, we'll explore the intricacies of the interview process and provide practical tips for consultants looking to not only pass interviews but also thrive in their roles. Whether you're a seasoned professional or just starting your Salesforce journey, this session is your backstage pass to the secrets that hiring managers wish you knew.

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This talk offers actionable insights at an executive level for enhancing productivity and refining your portfolio management approach to propel your organization to greater heights. Key Points Covered: 1. Experience Transformation: - The core challenge remains consistent across organizations: converting budget into user-centric designs. - Strategies for deploying design resources effectively in both startups and large enterprises. 2. Strategic Frameworks: - Introduction to the "Ziggurat of Impact" model, detailing layers from basic system interactions to comprehensive customer experiences. - Practical insights on creating frameworks that scale with organizational complexity. 3. Organizational Impact: - Real-world examples of navigating design in large settings, focusing on the synthesis of consumer products and customer experiences. - Emphasis on the importance of designing systems that directly influence customer interactions. 4. Design Execution: - Detailed walkthrough of organizational layers affecting design execution, from touchpoints and customer activities to shared capabilities. - How to ensure design influences both the micro and macro aspects of customer interactions. 5. Measurement and Adaptation: - Techniques for measuring the impact of design decisions and adapting strategies based on data-driven insights. - The critical role of continuous improvement and feedback in refining customer experiences.

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