It’s the very first episode of The Big Pitch with Jimmy Carr and our first guest is Phil Wang! And Phil’s subgenre is…This Place is Evil. We’re talking psychological torture, we’re talking gory death scenes, we’re talking Lorraine Kelly?! The Big Pitch with Jimmy Carr is a brand new comedy podcast where each week a different celebrity guest pitches an idea for a film based on one of the SUPER niche sub-genres on Netflix. From ‘Steamy Crime Movies from the 1970s’ to ‘Australian Dysfunctional Family Comedies Starring A Strong Female Lead’, our celebrity guests will pitch their wacky plot, their dream cast, the marketing stunts, and everything in between. By the end of every episode, Jimmy Carr, Comedian by night / “Netflix Executive” by day, will decide whether the pitch is greenlit or condemned to development hell! Listen on all podcast platforms and watch on the Netflix Is A Joke YouTube Channel . The Big Pitch is a co-production by Netflix and BBC Studios Audio. Jimmy Carr is an award-winning stand-up comedian and writer, touring his brand-new show JIMMY CARR: LAUGHS FUNNY throughout the USA from May to November this year, as well as across the UK and Europe, before hitting Australia and New Zealand in early 2026. All info and tickets for the tour are available at JIMMYCARR.COM Production Coordinator: Becky Carewe-Jeffries Production Manager: Mabel Finnegan-Wright Editor: Stuart Reid Producer: Pete Strauss Executive Producer: Richard Morris Executive Producers for Netflix: Kathryn Huyghue, Erica Brady, and David Markowitz Set Design: Helen Coyston Studios: Tower Bridge Studios Make Up: Samantha Coughlan Cameras: Daniel Spencer Sound: Charlie Emery Branding: Tim Lane Photography: James Hole…
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محتوای ارائه شده توسط Andrew Psaltis. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Andrew Psaltis یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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#8 RAG Deep Dive: Transforming Business with Retrieval Augmented Generation
Manage episode 448743645 series 3607822
محتوای ارائه شده توسط Andrew Psaltis. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Andrew Psaltis یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
This episode of the AI Demystified for Executives podcast delves into Retrieval-Augmented Generation (RAG) and its strategic importance for businesses. It covers the components of a RAG system, various use cases such as enhancing productivity and speeding up onboarding, and the challenges and steps for implementation. Real-world examples, like Morgan Stanley's use of RAG, illustrate the potential benefits. Key points include vector databases, document processing, and hybrid retrieval approaches, alongside practical tips for evaluating and implementing RAG in enterprises.
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اشتراک گذاریManage episode 448743645 series 3607822
محتوای ارائه شده توسط Andrew Psaltis. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Andrew Psaltis یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
This episode of the AI Demystified for Executives podcast delves into Retrieval-Augmented Generation (RAG) and its strategic importance for businesses. It covers the components of a RAG system, various use cases such as enhancing productivity and speeding up onboarding, and the challenges and steps for implementation. Real-world examples, like Morgan Stanley's use of RAG, illustrate the potential benefits. Key points include vector databases, document processing, and hybrid retrieval approaches, alongside practical tips for evaluating and implementing RAG in enterprises.
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In this episode of 'AI Demystified for Executives,' host Andrew Psaltis provides a comprehensive guide on implementing AI agents within organizations. The discussion includes aligning AI strategies with business goals, scoping use cases, and identifying tasks suitable for automation. Practical advice is offered on the build versus buy dilemma, pilot programs for quick wins, and developing internal expertise. The importance of selecting the right large language model (LLM), integrating tools, and continuous learning for AI agents is emphasized. Additionally, the episode addresses ethical considerations, regulatory compliance, and the development of governance policies to ensure responsible AI deployment. Real-world examples and research references are provided to support these strategies. References: StreamBench - Towards Benchmarking Continuous Improvement of Language Agents Code - https://stream-bench.github.io/ Paper: https://arxiv.org/abs/2406.08747 GTA: A Benchmark for General Tool Agents Code - https://github.com/open-compass/GTA Paper - https://arxiv.org/abs/2407.08713…
This episode of 'AI Demystified for Executives' explores the concept of AI agents, highlighting their fundamental differences from traditional chatbots and automation tools. Host Andrew Saltz describes AI agents as autonomous, decision-making software entities that can sense and respond to their environment, operate independently, and improve with experience. The episode outlines the four types of AI agents: simple reflex, model-based, learning, and goal-based, and provides real-world examples from Siemens, Oracle, and healthcare applications such as viz.ai. The strategic benefits and challenges of AI agents are discussed, emphasizing the importance of data privacy, ethical considerations, and human oversight. Frameworks for effective implementation and their potential future impact on productivity and operational efficiency are also covered.…
This episode covers three key themes: the gap between individual AI use and organizational strategy, the hidden potential of 'shadow AI,' and transitioning from ad hoc to strategic AI usage. It highlights communication, trust, and implementation as critical gaps hindering AI adoption and provides actionable steps for building an AI-ready culture. The episode stresses the importance of leadership alignment, up-skilling, and continuous learning, and concludes with an invitation to an upcoming workshop on AI strategy and implementation. See a list of our upcoming workshops here: https://www.dragonflyrising.io/events…
This episode explores how organizations can bridge the gap between individual AI innovation and a cohesive organizational AI strategy. Highlighting studies that show a significant percentage of marketers and journalists using AI informally, it emphasizes the need for clear communication and governance to mitigate risks and capture innovation. The discussion touches on barriers like fear, unclear policies, and lack of training, which hinder open AI adoption. To build a successful AI strategy, executives must establish clear governance, build trust through transparency, and create recognition programs to foster a supportive learning culture. The episode promotes translating technical metrics into tangible business outcomes and preparing for the next deep dive into creating a culture that embraces AI.…
This episode of the AI Demystified for Executives podcast delves into Retrieval-Augmented Generation (RAG) and its strategic importance for businesses. It covers the components of a RAG system, various use cases such as enhancing productivity and speeding up onboarding, and the challenges and steps for implementation. Real-world examples, like Morgan Stanley's use of RAG, illustrate the potential benefits. Key points include vector databases, document processing, and hybrid retrieval approaches, alongside practical tips for evaluating and implementing RAG in enterprises.…
In this podcast episode, host Andrew Psaltis of Dragonfly Risings School of Data discusses how executives can leverage Retrieval Augmented Generation (RAG) to make AI systems business ready. Highlighting the benefits of RAG and practical applications to help you understand how you can apply this to your business.…
This episode of the AI Demystified for Executives podcast, presented by Dragonfly Risings School of Data and hosted by Andrew Psaltis, dives deep into the concept of vector databases. Discussing their importance in applying AI to business contexts, the episode explores the fundamentals of vector databases, their embedding models, and their applications across various industries. It highlights the increasing relevance of vector databases in AI-powered search and personalization, the impact of unstructured data, and the semantic meaning preserved in vector embeddings. Practical business use cases such as Walmart's search capabilities and Morgan Stanley's AI assistant are illustrated, along with potential challenges and considerations for integrating vector databases into existing systems. The episode emphasizes the transformative potential of vector databases in enhancing customer and employee experiences through improved search and recommendation systems.…
In this episode of 'AI Demystified for Executives,' host Andrew Psaltis introduces vector databases and their significance in natural language search and conversational interfaces. The episode explains how vector databases enhance keyword search by understanding the context of words, akin to human conversation, and the role they play in providing long-term memory for large language models such as ChatGPT. The podcast is divided into Monday's quick bites and deeper dives scheduled for Wednesdays, with this episode focusing on the quick understanding of vector databases.…
This multi-episode podcast provides a deep dive into the fundamentals and real-world applications of neural networks for executive decision-making. Key topics include the basic structure of neural networks, their use in image recognition, natural language processing, and predictive maintenance in manufacturing via IoT sensors. Discussions cover the alignment of AI projects with business goals, addressing challenges such as data bias, transparency, and the integration of AI without displacing employees. Various neural network architectures like feedforward networks, CNNs, RNNs, and transformers are explored. Additionally, the podcast offers a free PDF guide and emphasizes ethical AI implementations to enhance productivity and fairness in the workplace.…
In this 'AI Demystified for Executives' podcast, host Andrew Psaltis breaks down neural networks and their business applications. Understand the benefits, challenges, and why AI is essential for competitive advantage and new revenue streams.
AI Revolution: Strategic Insights for Business Leaders In this series of 'AI Demystified for Executives,' host Andrew Psaltis provides an in-depth exploration of AI's strategic foundations and transformative capabilities for business leaders. We chart AI's evolution from the 1950s to the present, emphasizing milestones like machine learning, big data, and large language models such as GPT. Key episodes delve into the versatility of AI technologies, including GPT, DALL-E, and Whisper, as adaptable tools for various business applications, while highlighting real-world industry examples like JP Morgan's COIN and Lemonade Insurance. Discussions cover AI's role in customer service, document processing, and managing ethical concerns such as hallucinations and data privacy. Practical strategies for AI adoption include the importance of education, starting small with pilot projects, and developing a comprehensive AI roadmap. The series underscores AI's potential to democratize industry competition and revolutionize business practices. 00:00 #2: Why AI is reshaping the competitive landscape 01:57 Historical Perspective 10:13 GPT and LLM 18:26 Examples 28:52 Challenges and Considerations 36:46 Conclusion…
"AI Demystified for Executives" kicks off its series on Strategic Foundations of AI for Business Leaders. In this inaugural episode, host Andrew Psaltis explores why AI is reshaping the competitive landscape. Key points covered: The impact of GPT technology beyond chatbots How AI can revolutionize document processing and analysis Real-world examples of AI application in business contexts Potential risks of disruption for traditional document-processing services Opportunities for streamlining operations in various industries The importance of understanding AI's potential applications in your business Andrew discusses how AI tools can dramatically reduce time-to-insight and decision-making processes, potentially shifting from days to minutes. He encourages listeners to identify areas in their businesses where AI could be leveraged, even if not immediately implemented. Tune in to gain valuable insights on how AI is transforming the business landscape and how you can prepare your organization for this technological shift. Microsoft 2023 Annual Report…
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