Adventures In AI

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.

The Future of AI is Human: A Conversation with Kim Carson, CEO of Parallax Futures The future of AI is here, and it's time to ensure it's a future we all want to live in. Kim Carson, CEO of Parallax Futures, joins us on Adventures in AI for a critical discussion about building an ethical and human-centered approach to AI development. Kim sheds light on key issues like: Overcoming fear of AI and fostering a collaborative environment for human-AI partnerships. The crucial role of conceptual technologists, a unique group trained by Parallax Futures to bridge the gap between AI's potential and real-world application. Shared responsibility for ethical AI – from developers to policymakers and end-users. This episode is a must-listen for anyone who wants to see AI used for good. Kim's vision of a future where AI isn't just a tool, but a valued partner in human progress, is truly inspiring! Learn more about Parallax Futures and their innovative Fellowship program at https://parallaxfutures.org/. #AI #Ethics #FutureofWork #Podcast #parallaxfutures

Are we going to say 'Goodbye CEO?' Is AI Coming for Your Head Office Job? The future of leadership is here, and it involves AI. In the latest episode of "Adventures in AI," we delve into the potential impact of AI on various head office functions, from strategy and decision-making to budgeting and investment. Here's what you'll learn: How AI can augment human capabilities in leadership, strategy, and decision-making. The role of AI as a mentor and coach for leaders, providing data-driven insights. Striking the balance between automation and human oversight for effective decision-making. How AI can streamline budgeting and assist with investment planning. Whether AI will replace or work alongside human leaders (and will Richard's cat become a co-host?) This episode is a must-listen for anyone in a leadership or strategic role. Discover how AI can be harnessed as a powerful tool to improve performance and empower human decision-making. #AI #leadership #futureofwork #podcast #business

Upgrade Your AI: Unleash the Power of Knowledge Graphs Struggling with AI responses that lack context and miss the mark? This week on Adventures in AI, we dive deep into the world of knowledge graphs and retrieval augmented generation (RAG), a game-changer for AI capabilities. Learn how knowledge graphs go beyond traditional techniques by creating a network of connected information, enabling AI to deliver accurate and insightful responses. We'll discuss the benefits of this approach over summarization and explore how it builds crucial context and relationships within your AI models. This episode also tackles the real-world considerations of implementing knowledge graphs, including data security, privacy, and navigating organizational structures. Discover the potential to: Significantly improve AI responses with real-world context. Build a comprehensive knowledge base for accurate and insightful interactions. Enhance knowledge management and streamline processes. Create a corporate "brain" for improved training and information sharing. Ready to unlock the true power of AI? Tune in and learn how knowledge graphs can transform your AI game!

Are we about to say goodbye to the marketing team? Can AI do the job instead? Marketing is on the cusp of a revolution, and AI is at the forefront. In the latest episode of the "Adventures in AI" podcast, we delve into the potential impact of AI on every facet of marketing, from understanding customers to creating content. Key Takeaways: AI automates tasks & boosts efficiency, freeing up human energy for strategic thinking. Human creativity remains crucial for brand strategy and innovation. AI excels at data analysis, content creation, and generating insights. The future of marketing lies in collaboration: humans guiding AI and AI empowering humans. We explore: How AI is changing customer research and market fit. The role of AI in brand development and communication. The limitations of AI in creative thinking and nuanced messaging. The potential shift from campaigns to iterative testing. How AI can revolutionize retention and community management.

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.

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.

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.

Summary In this episode, The team discusses the practical aspects of using AI in report writing. They highlight the challenges of report writing, such as the time-consuming process of gathering and analyzing data. They explain how AI can help in various stages of report writing, including setting up templates and instructions, conducting research and analysis, and summarizing information. They emphasize the importance of clear instructions and collaboration between AI and humans in the review process. They also discuss the limitations of AI in numerical analysis and the benefits of using AI for Q&A interaction in reports. Takeaways AI can help in various stages of report writing, including setting up templates and instructions, conducting research and analysis, and summarizing information. Clear instructions and collaboration between AI and humans are crucial in the report writing process. AI can save time and improve productivity in report writing by automating repetitive tasks and providing quick access to relevant information. AI can assist in note-taking and commenting, but human review is still necessary for ensuring accuracy and quality. AI has limitations in numerical analysis and is best used for basic tasks. Using AI for Q&A interaction in reports can save time and provide quick access to specific information.

Recruitment is central to every business at some point and to every employee. We take a look at the huge impact AI is likely to have on that process. How AI-created job descriptions will lead to a better understanding of workforces The arms race between AI-created applications being evaluated by AIs! Is AI the thing that will finally kill off the CV? AIs can become workers' important friends through the contracting and onboarding phases

It's the time of year for us to do what everybody else does and commit to a few predictions for next year. Elon Musk predicts a staggering order of magnitude change yearly, making things 10 times more capable. What does this mean for the AI landscape, and how will it reshape how businesses operate? Get ready for the rise of AI titles within businesses, sparking a whirlwind of questions like "Who owns AI in the org?" Graham poses a question - will businesses start reaping tangible commercial advantages from AI? Join us as we analyse the current landscape, exploring the signs of genuine progress and foreseeing the impact on businesses. Will we see a rise of formal qualifications next year? Is it time for us to deploy niche and specialised AI agents?

Is it time to say "Goodbye Mckinsey"? As former consultants, we talk in this episode about AI's transformative potential for the management consultancy industry - from both the perspective of the consultancies themselves and their potential clients. AI's Mastery of the Initial Audit: Firstly, we delve into the initial audit phase, a critical step in consultancy. AI's rapid data analysis, covering client capabilities, market trends, and existing data, streamlines the process, offering valuable insights for informed decision-making. The Always-On Agent of Change: We explore AI as a continuous change agent. Unlike humans, AI operates non-stop, monitoring trends, identifying opportunities, and suggesting course corrections. This constant presence accelerates change initiatives, ensuring businesses stay agile in today's dynamic environment. Elevating Knowledge Base and Expertise: We also investigate AI's role in enhancing knowledge for clients and consultancies. AI tools facilitate knowledge sharing, granting clients easy access to expert insights. For consultancies, AI serves as a knowledge aggregator, providing a centralized repository for faster and more comprehensive problem-solving. Rethinking the Business Model: Lastly, we consider AI's implications on the consultancy business model. As AI advances, consultancies may shift focus to managing and implementing AI solutions, requiring consultants to become AI leaders. This transformation raises the question: Is it time to bid farewell to traditional consultancy models? Join us in this insightful episode as we explore how AI is revolutionizing management consulting, challenging norms, and ushering in a new era of innovation. Together, we ponder the future of consultancy and the potential shift away from established practices.

Are you ready to revolutionise your team's learning and development with the power of AI? This podcast explores how Gen AI transforms training and development within organisations, enabling personalised, interactive, and effective learning experiences for every team member. Discover: The potential of AI to personalise training for each individual, setting the pace and delivery to suit their unique needs. How AI seamlessly integrates training into the daily workflow, making learning an integral part of the work experience. The transformative role of AI in broadening learning interactions, providing personalised mentoring and tutoring for all team members. The invaluable support AI offers in developing structured learning modules and ensuring permanent knowledge accessibility across the organisation. Empower your team to achieve their full potential with AI-driven learning and development. Listen to this podcast now and unlock the limitless possibilities of AI in your organisation's learning landscape.

In this episode, we look at the implications of the turmoil at the top of Open AI and discuss what might have caused it and what it might mean for users. We ask what 'ethical' AI actually means and where we might see it in a business context. Rich gets a bit 'mathsy' and Graham gets a bit philosophical.

We look at what OpenAI's new multi-modal model means to AI users. We will have human-like relations with AIs We will be deskless We will be managers with superpowers What Elon Musk had to say to Rishi Sunak - the government's role in AI security. Why is Elon such a pessimist about AI? Deep fakes and the rise of digital super-intelligences The new wave of GPTs - do these spell the end of AI-based start-ups?

Can AI help us talk to Whales? A US-based not-for-profit organization called EarthSpecies is looking to use machine learning to decode communication in other species.  Or, put simply, they want to train a machine to listen to and talk to animals and birds. The global economic and commercial impact of AI The ability of Gen AI to make pictures, write creative text and to write music has caught the imagination - but the real commercial impact is perhaps less talked about. And it’s worth talking about, because the greatest impact for businesses comes in the commercial detail and facts. Why everyone should be cheating on their homework Is using AI cheating? Or is it more likely to be something that we will very quickly take as a matter of fact? We talk about how using AI will soon be seen as being just as acceptable as using a calculator in a science exam. Goldman Sachs articles: https://www.goldmansachs.com/intelligence/pages/generative-ai-could-raise-global-gdp-by-7-percent.html https://www.goldmansachs.com/intelligence/pages/ai-investment-forecast-to-approach-200-billion-globally-by-2025.html Forbes article: https://www.forbes.com/advisor/business/software/ai-in-business/#:~:text=To%20better%20understand%20how%20businesses,the%20use%20of%20top%20chatbots.

Lessons about AI from the early days of Digital - looking at the parallels between the digital revolution in the 90's and what's happening now. There are lots of lessons! Do Androids dream of electric sheep? - Does AI perform better if we get emotional with it? (Hint: the answer's 'yes') AI is good at tasks - but not jobs. The more tightly defined the task is, the better the AI performs. In that respect, these LLMs are much more similar to humans.

Why is GitHub losing money on its AI application? It's probably about data, users, and a bet that the tech costs will fall. AI's are like interns - but they can't yet go out and get you coffee. We should expect the same from our Gen AI as we would from new interns - and think about managing them in the same way. How to get AI to write like a human. It sounds obvious, but how many of you have asked AI to write like a human? We expect there’s a fair number of people that haven’t.