Adventures In AI

Insightflow

The Adventures In AI podcast is for people who are thinking about using AI, people who are already using AI and people who think they will need to manage AI in the future. As a team at Insightflow, we have been building AI into the Insightflow platform for more than 3 years. The recent explosion of Gen AI is driving our development. As a result, we're learning every day about the capabilities and use cases of AI. The Adventures in AI podcast is us chatting about the lessons we've learned, the interesting possibilities of using AI, and what it all might mean for business.

  1. 2024. 04. 04.

    Adventures in AI Ep. 18 - AI is just a fad

    This episode smashes the myth of AI as a passing trend. Join the team as they explore why AI is here to stay and poised to revolutionize businesses and society. They delve into the unique capabilities of AI, including machine learning and its ability to process massive datasets. Discover how AI can transform education, decision-making, and even our working relationships. Listen and learn why AI is a game-changer, not a fad. Summary In this episode: the team discusses whether AI is a passing fad or a game-changing technology They explore the longevity and impact of AI, highlighting its potential to transform businesses and augment human intelligence. The conversation also touches on the adoption of AI in education and the rapid growth of AI usage. The team delves into the architecture of AI and the importance of machine learning and continuous improvement. They conclude by considering the diversification of AI models for specialized applications. In this conversation, the hosts discuss the reasons why they believe AI is here to stay and will have a significant impact on various aspects of life. Takeaways AI is not a fad but a game-changing technology with the potential to transform businesses and augment human intelligence. The longevity and impact of AI make it a significant force in various industries. AI adoption is driven by ground-up use, with individuals and organizations finding value in AI and incorporating it into their daily operations. AI's growth and scale, as evidenced by the rapid increase in users and investments, indicate its staying power. The architecture of AI, including machine learning and continuous improvement, plays a crucial role in its development and effectiveness. Diversification of AI models for specialized applications is likely to emerge, enabling tailored solutions for specific industries and use cases. AI's adaptability and ability to rapidly acquire niche skills make it a powerful tool with the potential for significant impact. AI's data analysis capabilities, particularly its ability to process massive datasets, provide valuable insights and have already demonstrated significant impact in various fields. The definition of datasets is expanding, and AI can analyze and learn from diverse sources of information, including research papers and personal data. Problem framing is crucial in leveraging AI effectively, and organizations need to identify the specific tasks and information required to achieve desired outcomes. AI has the potential to revolutionize decision making, but careful consideration is needed to ensure ethical and responsible use. Human-AI partnerships can enhance productivity by automating boring and repetitive tasks, allowing humans to focus on more meaningful and creative work. Collaboration and personalized relationships with AI can provide valuable support and assistance in various domains, including education, work, and therapy. Barriers to AI's growth include trust issues and the need for customized AI solutions, but these challenges are likely to be overcome over time. The unstoppable nature of AI lies in its ability to continuously learn and improve, as long as humans continue to contribute new ideas and knowledge. AI is not a fad but a transformative force that will fundamentally change business and society.

    59분
  2. 2024. 02. 26.

    Adventures in AI Ep. 13 - Will AI steal your election?

    Will AI steal your election? What does AI with memory mean? Comparison between Agents. Summary In this episode, the hosts discuss the recent announcement by OpenAI about ChatGPT's new memory feature. They explore the implications of AI's ability to remember specific facts and personalize interactions. The conversation then shifts to the impact of AI on elections, including the use of deepfakes and personalized messaging. The hosts also discuss the challenges of regulating AI and the role of governments in protecting democratic processes. They conclude by comparing different AI models and their strengths and weaknesses. In this conversation, the hosts discuss various aspects of using AI models for different tasks. They compare different AI models, such as ChatGPT, Claude, and Gemini, and discuss the benefits and limitations of each. They also talk about the rebranding of AI models and the availability of different versions. The conversation covers topics like writing style, geographical locations of AI companies, the importance of context window, improving RAG search, scalability and cost of AI models, and the use of ChatGPT for coding. The hosts conclude by summarizing the main points discussed.Takeaways OpenAI's announcement about ChatGPT's memory feature reflects the gradual development of AI models to mimic human interaction and memory. The use of deepfakes and personalized messaging in elections raises concerns about the manipulation of information and the erosion of trust in democratic processes. Regulating AI and protecting democratic processes is a complex challenge that requires collaboration between governments, tech companies, and other stakeholders. Choosing the right AI model for specific tasks and leveraging their strengths can lead to more effective and accurate results. Different AI models have different strengths and limitations, so it's important to choose the right model for the task at hand. Using multiple AI agents in the process can help automate different parts of the workflow. There are different versions of AI models available, with varying features and limitations. Writing style and naturalness can vary between AI models, and personal preferences may differ. The geographical locations of AI companies can influence the language and cultural biases of the models. The context window of an AI model is important for accessing relevant information and improving search results. There are ongoing efforts to improve RAG search and make it more accurate and efficient. Scalability and cost are important considerations when using AI models, especially with larger context windows. ChatGPT can be used for coding and has enabled users to write programs. ChatGPT is known for its strength in planning and adding structure to thoughts. Memory and structured thinking are important aspects of AI models and can enhance their capabilities.

    57분
  3. 2024. 02. 16.

    Adventures in AI - Ep 12: How AI can massively reduce costs and time in research projects

    Summary In this episode, the team discusses the ways AI can assist in research interviews. They explore the challenges researchers face in analyzing interview data and how AI can help structure and understand unstructured input. The team also discusses how AI can assist in creating interview scripts, improving interview questions, and speeding up data processing. They highlight the importance of transcription services and the potential for AI to improve the quality and efficiency of transcriptions. The team also explores the use of AI in quantitative analysis, finding and using quotes, and creating a knowledge base. They conclude by discussing the potential for AI to conduct interviews and the benefits of ongoing research and knowledge bases. The conversation explores the use of AI in large research projects and its potential to improve efficiency and effectiveness. It discusses building knowledge bases, the possibility of AI interviewers, the impact of engaging research participants, current and future applications of AI in research, and the changing value of information. Takeaways AI can assist in structuring and understanding unstructured input in research interviews. AI can help in creating interview scripts, improving interview questions, and speeding up data processing. Transcription services powered by AI are improving in quality and efficiency. AI can assist in quantitative analysis, finding and using quotes, and creating a knowledge base. There is potential for AI to conduct interviews and support ongoing research with knowledge bases. AI can assist in building knowledge bases, providing both a high-level overview and detailed insights. While AI interviewers may be possible in the future, human interviewers are still essential in the current research process. Engaging research participants through personalized interviews can positively impact brand perception. AI has the potential to significantly enhance various aspects of research projects, both now and in the future. The use of AI in research can transform the value and usability of collected information.

    54분
  4. 2024. 02. 11.

    Adventures in AI - Ep 11: Can we create always-on AI mentors today?

    Summary This episode explores the potential of using AI to create personalized mentors and coaches. The conversation covers various areas of application in business, such as employee well-being, learning and development, and skills development. The importance of digitizing the personality of mentors and the challenges of creating always-on coaches are discussed. The role of knowledge bases, personalized learning journeys, and the design of AI mentors' approach are explored. The conversation also touches on the use of personality frameworks and coaching methodologies in AI mentoring. The potential of spoken engagement and the future of AI mentors in video and audio formats are considered. The episode concludes with a discussion on the importance of gathering knowledge and extending the experience of AI mentors, as well as the need for due diligence in leveraging AI for mentoring. Takeaways AI has the potential to vastly increase coaching and mentoring capabilities in various areas of business. Personalized learning journeys can be designed with AI mentors, combining the benefits of human interaction with 24/7 availability. The digitization of mentors' personalities and the use of knowledge bases are key elements in creating effective AI mentors. AI mentors can be tailored to individuals' preferences and learning styles, incorporating frameworks like Myers-Briggs. Spoken engagement and the use of video/audio formats can enhance the effectiveness and engagement of AI mentors.

    42분

소개

The Adventures In AI podcast is for people who are thinking about using AI, people who are already using AI and people who think they will need to manage AI in the future. As a team at Insightflow, we have been building AI into the Insightflow platform for more than 3 years. The recent explosion of Gen AI is driving our development. As a result, we're learning every day about the capabilities and use cases of AI. The Adventures in AI podcast is us chatting about the lessons we've learned, the interesting possibilities of using AI, and what it all might mean for business.