Future-Proof Podcast by CO/AI

Join Anthony and Francesca as they explore how technological revolutions unfold through "leaps" and "steps," using historical examples like the World Wide Web and mobile apps to contextualize our current AI moment. Drawing from their extensive tech experience, they debate whether we're still in the initial ChatGPT "leap" of late 2022 or witnessing a series of incremental steps. The discussion covers key developments in AI, from multimodality to personalization, while examining how businesses should position themselves during this transformative period. Through engaging analogies and personal anecdotes from the early days of the internet to today's AI landscape, this episode offers valuable insights for understanding where we are in the AI revolution and what might come next. Perfect for business leaders, developers, and anyone interested in technology's evolutionary patterns.TakeawaysThe concept of 'leaps and steps' helps frame AI advancements.ChatGPT marked a significant leap in AI accessibility.Generative AI is still evolving and has not yet reached its full potential.The adoption of AI technologies can be parabolic in nature.Productization is crucial for the widespread use of AI.Historical leaps in technology provide context for current AI developments.AI's integration into daily life is still in progress.Consumer experience will dictate the success of AI products.The future of AI may involve more choices for users.Understanding the timeline of technological leaps is essential for anticipating future developments. AI will become more integrated into everyday tasks.User experience will drive the adoption of AI tools.Benchmarking will lead to parity among AI models.Payment models for AI will evolve towards enterprise solutions.Personalization will enhance user engagement with AI.Agentic AI will automate complex tasks end-to-end.The leap in AI technology requires businesses to adapt quickly.More applications will emerge to solve complex problems.AI nativity will reduce the need for intermediary steps.The future of AI is about creating delightful user experiences.Chapters 00:00Leaps and Steps in AI24:50The Evolution of Generative AI30:26Productization and Consumer Experience39:36The Evolution of Payment Models in AI45:02Key Steps in the AI Leap50:40Personalization and Agentic AI56:10The Need for AI NativityJoin our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Step into the future as we unpack the revolutionary world of AI agents - the next frontier in how we work, live, and interact with technology. In this eye-opening episode, we explore how 2024 is becoming the defining year for AI agents, moving beyond simple chatbots to orchestrate seamless workflows that could transform everything from your daily schedule to the future of travel.Discover how these digital assistants are already quietly revolutionizing industries, from preserving native languages to reimagining hospitality experiences. Our hosts dive deep into the real-world applications that separate hype from reality, examining how AI agents communicate with each other to create a symphony of automation that works in harmony with human needs.Whether you're a tech enthusiast, industry professional, or simply curious about how AI will shape our future, this episode offers invaluable insights into:The evolution from basic AI to sophisticated agent networksHow personal AI assistants could revolutionize daily life managementThe transformation of travel and hospitality through AI innovationThe delicate balance between automation and human touchJoin us for a fascinating discussion that cuts through the marketing buzz to reveal the true potential - and challenges - of AI agents in shaping our future world.Takeaways2024 is anticipated to be the year of AI agents.AI agents integrate various models into cohesive workflows.The distinction between AI agents and traditional chatbots is significant.Real-world applications of AI agents are already in use, often unnoticed.The future of AI agents is expected to be transformative and profound.Understanding the context of AI agents is crucial for their effective use.Marketing language around AI agents can be misleading and confusing.Personal agents could revolutionize daily life management.AI agents can significantly reduce administrative burdens in professional settings.Agent-to-agent communication may redefine how tasks are completed.  AI agents could revolutionize how we manage our schedules.Automation requires seamless integration of various tools.Current AI tools need significant improvement for better performance.The future will see a symphony of AI agents working together.Voice interaction will become a common way to engage with AI.Travel experiences will be enhanced through AI-driven solutions.Pricing strategies for AI agents will evolve over time.There is potential for free AI agents supported by data monetization.AI could help preserve native languages through translation.The hospitality industry may see a shift towards AI integration.AI agents are integrating models into workflowsJoin our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Revolutionizing Startup Finance: AI Meets Human ExpertiseEver wondered how artificial intelligence is reshaping the future of financial management? Join us for an eye-opening conversation with Swapnil Shinde, the innovative CEO behind Zeni, who's transforming how startups handle their finances. From encountering personal frustrations with traditional bookkeeping to building a groundbreaking AI-powered platform, Swapnil shares his entrepreneurial journey that's changing the game for businesses everywhere.In this episode, you'll discover:How AI is revolutionizing financial management for modern startupsThe powerful synergy between artificial intelligence and human expertisePractical strategies for embracing AI in your business operationsWhy the future of finance is leaning towards seamless automationGame-changing insights for entrepreneurs looking to scale their financial operationsWhether you're a startup founder, finance professional, or technology enthusiast, this episode offers valuable insights into the future of financial management and the transformative power of AI. Tune in to learn how the next generation of financial tools is making traditional bookkeeping obsolete while opening new possibilities for business growth.Swapnil Shinde social channels: LinkedInTwitterGet ZeniJoin our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

In this episode, the hosts Anthony Batt and Shane Robinson with guest Joe Veroneau form Conveyor. "AI is totally changing the way that everyone works"  Joe Veroneau Summary  Conveyor is a company that helps automate security reviews and document sharing between companies. They use AI technology, specifically language models, to automate the process of filling out security questionnaires. This saves customers a significant amount of time and improves the quality of their responses. The company primarily works with software companies, but they have seen an increase in demand from various industries, especially as AI becomes a more important topic in security reviews. Conveyor prioritizes security and confidentiality, ensuring that customer data is protected and only accessible to authorized individuals. They also emphasize the importance of transparency and communication when using AI tools in the workplace. Conveyor is a platform that automates the process of filling out security questionnaires. They use AI models, specifically GPT-3, to generate accurate and efficient responses to the questions. The platform is designed to address two main challenges: the diversity of user profiles and personas, and the need for speed in completing questionnaires. Conveyor allows users to customize the level of control and approval required for generated answers, catering to different user preferences. The company has seen success in improving efficiency and accuracy in filling out security questionnaires, and they continue to innovate and explore new ways to leverage AI in their workflow.TakeawaysConveyor helps automate security reviews and document sharing using AI technology.Their solution saves customers a significant amount of time and improves the quality of their responses.They primarily work with software companies but have seen an increase in demand from various industries.Conveyor prioritizes security, confidentiality, transparency, and communication when using AI tools. Conveyor automates the process of filling out security questionnaires using AI models.The platform addresses the challenges of diverse user profiles and the need for speed in completing questionnaires.Conveyor allows users to customize the level of control and approval required for generated answers.The company has seen success in improving efficiency and accuracy in filling out security questionnaires.Chapters00:00 Introduction and Background08:01 The Problem of Security Reviews and Document Sharing15:23 Ensuring Security and Trust with Customer Data23:36 Trends in AI Adoption and Security Reviews26:33 Time-Saving and Quality Improvement with Conveyor32:57 The Decision to Use AI Technology37:26 Product Enhancements and Considerations38:58 Designing Filters for Safety Parameters39:53 Speed and Efficiency in Questionnaires41:20 AI's Impact on Workflows42:14 Efficiency Gains with Rough Drafts49:29 Advising Other Product Teams to Embrace AI50:26 Choosing Commercial Solutions for Language Models01:03:03 Bringing Personal AI Assistants to the Workplace01:06:03 The Changing Nature of Work with AI01:10:23 The Future of AI in the Workplacehttps://www.conveyor.com/https://www.conveyor.com/customers-3/lucid-software-spends-91-less-time-on-security-questionnaires-with-conveyorJoin our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Move over, CTOs - there's a new C-suite power player in town.

In this episode of the Future Proof Podcast by CO/AI, Anthony, Shane, and Elizabeth discuss the transformative impact of AI on sales processes and e-commerce. They explore various AI tools like Seamless and Wallaxi, emphasizing the importance of data enrichment and automation in outreach efforts. The conversation highlights the competitive edge that AI-native companies have over traditional businesses, the evolving landscape of customer interactions, and the potential for AI to streamline workflows and enhance personalization in sales. The hosts encourage companies to embrace AI technologies to stay relevant and competitive in the market.Takeaways- Elizabeth has a diverse background in sales and marketing.- Seamless AI is effective for data enrichment and lead generation.- Automation tools like Wallaxi improve LinkedIn outreach. - Generative AI can enhance email personalization in sales.- Make.com allows for complex workflow automation with AI.- AI is reshaping the e-commerce landscape significantly.- Companies need to leverage their existing data for AI success.- AI-native companies may outperform traditional businesses due to agility.- The integration of AI in sales can lead to better customer experiences.- Investing in AI is crucial for future business success.Review our AI Sales we are tracking on CO/AI https://getcoai.com/the-best-ai-sales...Join our community: getcoai.com (https://www.getcoai.com)Follow us on Twitter (  / getcoai  )Get our newsletter (https://coai.beehiiv.com/subscribe)Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

In this episode, the hosts Anthony Batt, Shane Robinson and Francesca Vera discuss the role of AI in wearables and the potential future of these devices. They explore the different types of wearables available, such as fitness trackers and smart glasses, and how AI is integrated into them. The conversation touches on topics like privacy concerns, the balance between convenience and data collection, and the potential for wearables to become more agentic and proactive in assisting users. They also discuss the fashion aspect of wearables and the importance of design and user experience. The conversation explores the potential of AI wearables to act as companions and coaches, rather than just productivity tools. The demand for companionship and encouragement from chatbots is already high, and it may even surpass the demand for productivity solutions. However, there are limitations to chatbots, such as the inability to provide real-time information and the copy-paste fatigue experienced by users. The open-source nature of some models allows for community engagement and the potential for improvement. The conversation also touches on the future of AI language models, where they may become indistinguishable from human writers. In this final part of the conversation, the hosts discuss their wishlist for AI tools and features that they would like to see. They mention the importance of AI advancements in the medical field, the need for AI agents to automate complex workflows, and the potential for language translation wearables. They also touch on the challenges of planning group trips and events, and the value of human connection in language learning and communication. Overall, the hosts emphasize the importance of considering the human aspect and not becoming over-reliant on technology.TakeawaysWearables, such as fitness trackers and smart glasses, are incorporating AI to provide more personalized and proactive experiences for users. There is a race among big tech companies and startups to integrate AI models into wearables, enabling features like voice assistants and personalized recommendations.Privacy concerns arise with the constant data collection and recording capabilities of wearables, and finding the right balance between convenience and privacy is a challenge.The fashion aspect of wearables is becoming increasingly important, with collaborations between tech companies and fashion brands to create stylish and discreet devices.The future of wearables may involve more agentic AI that can anticipate users' needs and provide proactive assistance, but there are concerns about becoming too reliant on technology. AI wearables have the potential to act as companions and coaches, providing encouragement and companionship to users.The demand for companionship from chatbots is high, and it may surpass the demand for productivity solutions.Chatbots have limitations, such as the inability to provide real-time information and the copy-paste fatigue experienced by users.Open-source models allow for community engagement and the potential for improvement.The future of AI language models may involve them becoming indistinguishable from human writers. Advancements in AI and ML are crucial for solving real medical problems and improving patient care.AI agents that can automate complex workflows and handle multiple systems would greatly benefit office workers and improve productivity.Language translation wearables have the potential to enhance communication by removing barriers and enabling seamless interaction.Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

In this episode, the Future Proof Podcast team takes a step back to reflect on their own journeys and how they ended up in the field of AI. Anthony shares his background in software development and his early fascination with AI. Shane discusses his experience in the military and his transition to technology through Wall Street and Stanford Business School. Francesca talks about her love for AI research and her academic journey in computer science at Stanford University. They also discuss the importance of curiosity, self-guided learning, and the need to make AI accessible to non-technical people. CO/AI is a community platform that aims to teach people practical strategies to succeed in the AI industry. It provides news, research summaries, and a directory of AI tools. The mission of CO/AI is to create a fair innovation ecosystem and help AI companies succeed. The community is an important aspect ofCO/AI, with a focus on learning and collaboration. The team intentionally includes young people, particularly undergraduates, to bring fresh perspectives and build the company using AI tools. The goal is to create a community where members can learn, contribute, and connect with others in the AI industry. In this final part of the conversation, the hosts discuss the importance of community in their Slack workspace and the future plans to create a public-facing community. They also talk about the value of feedback from the community in product development. The hosts mention their vision of becoming a Stack Overflow-like resource for professionals and the need for a seamless workflow between AI tools. They share their excitement for sports, playing tennis and pickleball, and the mental fortitude of competitive athletes. The hosts also mention upcoming trips and events they are looking forward to.TakeawaysThe team members come from diverse backgrounds, including software development, military, and AI research.Curiosity and self-guided learning are key traits that have shaped their journeys in AI.The team believes that AI should be accessible to non-technical people and aims to bridge the gap between technical and non-technical individuals.They emphasize the importance of making AI understandable and approachable for everyone. CoAI is a platform that provides practical strategies for success in the AI industry.The community is an important aspect of CoAI, fostering learning and collaboration.The team intentionally includes young people, particularly undergraduates, to bring fresh perspectives and build the company using AI tools.Chapters00:00 Introduction and Setting02:58 Reflecting on Personal Journeys10:23 The Power of Curiosity and Self-Guided Learning19:02 Making AI Accessible to Non-Technical People23:56 The Importance of Understanding AI36:36 Introduction to CoAI and its Mission39:22 Practical Strategies for Success in the AI Industry41:26 The CoAI Platform: News, Research Summaries, and Directory48:49 Creating a Fair Innovation Ecosystem for AI Companies01:06:11 Building a Community of Learning and Collaboration01:09:06 The Importance of Including Young People in the CoAI Community01:14:29 Building a Strong Community01:18:15 Creating a Stack Overflow for Professionals01:32:42 The Need for a Seamless Workflow01:39:48 The Excitement of Sports01:41:33 Upcoming Trips and EventsJoin our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Future-Proof Podcast by CO/AI SummaryIn this conversation, Anthony, Francesca, and Shane discuss the current state of AI research and productization. They explore the history of AI products and how AI has become a pop culture phenomenon. They also discuss the changing landscape of AI research, the compression of research findings, and the increasing accessibility of AI research to different disciplines. The conversation highlights the importance of bridging the gap between research and commercialization, and the potential for millions of creators to emerge in the AI space. They also touch on the characteristics of a great AI product, including a low learning curve, problem-solving capabilities, and a delightful user experience. The conversation explores the features and future of AI products. The key themes include the ease of use, UI/UX design, integration into existing workflows, and specificity to cater to different user personas. The discussion highlights the importance of clear communication and prompt engineering in utilizing AI tools effectively. It also emphasizes the potential for domain specialists to leverage AI tools in their respective fields. The conversation concludes with the optimism that innovation in AI products can come from anywhere, and there is ample room for growth and opportunity.TakeawaysAI has become a pop culture phenomenon, with the introduction of user-friendly commercial AI products like chat GPTAI research is no longer limited to computer science, but is happening in various disciplines and industriesThe compression of AI research has led to increased accessibility and signposting of research findingsThe future of AI lies in the productization of research, with millions of creators emerging to build innovative AI productsA great AI product should have a low learning curve, solve a problem effectively, and provide a delightful user experience AI products should prioritize ease of use and have intuitive UI/UX design to appeal to a wide range of users.Integration into existing workflows and ecosystems is crucial for the seamless adoption of AI tools.Specificity and tailoring AI products to cater to different user personas and domains can provide unique value.Clear communication and prompt engineering are essential for effectively utilizing AI tools.Domain specialists have the opportunity to leverage AI tools to innovate and enhance their respective fields.Innovation in AI products can come from anywhere, and there is ample room for growth and opportunity.Chapters00:00 - Introduction and Weather Update02:58 - The History of AI Products and the Productization of Research07:24 - The Progression from Research to Commercialization11:02 - The Changing Landscape of AI Research17:05 - The Convergence of Research and Productization25:11 - The Future of AI: Productization and the Rise of Creators37:29 - Characteristics of a Great AI Product40:38 - The Importance of Ease of Use and UI/UX Design43:33 - Integration into Existing Workflows46:23 - The Power of Specificity51:42 - Clear Communication and Prompt Engineering55:04 - Domain Specialists: Leveraging AI Tools01:02:11 - The Future of AI ProductsJoin our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

In this episode, the hosts: Shane Robinson, Francesca Vera and Anthony Batt discuss the impact of AI in the creative industry, specifically in advertising, film and television, and fashion. They explore how AI tools like Gen.ai can assist in the creative process, from generating images to editing and enhancing them. The hosts also discuss the potential impact of AI on jobs in the creative industry, with some jobs being replaced by AI tools while others require human intervention and curation. They highlight the importance of judgment and taste in the creative process and how AI can augment human creativity. The episode concludes with a discussion on the future of AI in social media and other creative domains. The conversation explores the impact of AI on the creative industry, particularly in the areas of image generation, music, and advertising. It discusses the potential of AI to enhance creativity and provide new opportunities for artists, while also raising concerns about the authenticity and ethical implications of AI-generated content. The conversation touches on the role of social media platforms in addressing the misuse of AI and the need for smart regulation. It concludes by emphasizing the importance of human judgment and the coexistence of AI and human creativity in the future.TakeawaysAI tools like Gen.ai are making an impact in the creative industry, assisting in generating and editing images for advertising, film, television, and fashion.The use of AI in the creative process can lower the barrier to creation and empower individuals with limited formal training to produce creative content.While some jobs in the creative industry may be replaced by AI tools, others require human intervention and curation, particularly in the areas of judgment and taste.The future of AI in the creative industry may involve a combination of AI-assisted innovation, human-made premium content, and machines monopolizing creativity.AI is also influencing the content creation process in social media, where understanding and playing the algorithm game is crucial for success. AI has the potential to enhance creativity and provide new opportunities for artists in various industries.There are concerns about the authenticity and ethical implications of AI-generated content, particularly in social media.Smart regulation is needed to address the misuse of AI and protect against harmful consequences.Human judgment and creativity will continue to play a crucial role alongside AI in the creative industry.Familiarizing oneself with AI tools and developments is important for professionals in the creative space.Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Future Proof Podcast by CO/AI hosts Anthony Batt and Shane Robinson have a  conversation that revolves around the document 'Situational Awareness' written by Leopold Aschenbrenner, a former OpenAI employee. The document explores the trends in AI research and predicts the development of artificial general intelligence (AGI) and superintelligence. The conversation highlights the implications of these advancements for businesses and society as a whole. It emphasizes the need for companies to prepare for the exponential growth of AI and leverage it to gain a competitive advantage. The discussion also touches on the importance of automation and the potential for AI-powered workflows in various industries. The conversation explores the importance of adopting AI in businesses and the potential impact on industries and society. It emphasizes the need for AI literacy and fluency to stay competitive and navigate the changing landscape. The conversation also touches on the implications for national security and the geopolitical landscape. The hosts recommend reading the referenced document and staying informed about AI trends and advancements.The document 'Situational Awareness' predicts the development of artificial general intelligence (AGI) and superintelligence based on trends in AI research.Companies need to prepare for the exponential growth of AI and leverage it to gain a competitive advantage.Automation and AI-powered workflows have the potential to revolutionize various industries.The investment in AI by major tech companies is driving the rapid advancement of AI capabilities.The implications of AGI and superintelligence extend beyond technology and have significant economic and geopolitical consequences. Adopting AI is crucial for businesses to stay competitive and navigate the changing landscape.AI literacy and fluency are essential for individuals and companies to understand and benefit from AI advancements.The impact of AI on industries and society will be significant, and it is important to be prepared.National security and geopolitical considerations are crucial in the AI era.Staying informed about AI trends and advancements is essential to make informed decisions.Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Hosts: Anthony Batt, Shane Robinson and Francesca Vera from the Future-Proof Podcast by CO/AI  -In this conversation, the hosts discuss Apple's new Apple Intelligence and its partnership with OpenAI. They explore the implications of Apple integrating OpenAI's chat GPT into their devices and the potential impact on the AI hardware market. They also delve into the concept of perplexity, a chatbot developed by Perplexity AI, and its unique features such as direct answers with cited sources and the ability to create and share pages. The hosts highlight the value of perplexity in research and content creation workflows and discuss the differences between the free and paid versions. Perplexity is a powerful AI tool that excels in research and knowledge quest scenarios. It offers a more conversational and nuanced approach compared to traditional search engines like Google. Perplexity's ability to generate source material, provide human-readable answers, and suggest related questions makes it a valuable tool for content writing and research. However, it still has limitations, such as not being as effective in local search and the potential for hallucinations in its responses. Perplexity's productization and integration of research and editing workflows make it a compelling choice for certain use cases. The future of Perplexity lies in community feedback and validation to ensure the accuracy and reliability of its answers. Overall, Perplexity is a rising star in the AI space, challenging incumbents and offering innovative solutions.TakeawaysApple's integration of OpenAI's chat GPT into their devices marks a significant development in the AI hardware market.Perplexity, developed by Perplexity AI, offers direct answers with cited sources, making it a valuable tool for research and content creation workflows.The paid version of perplexity provides access to advanced models and features, such as storing threads and collections, and creating and sharing pages.Perplexity's pages feature allows users to create and share articles or blogs with embedded images and references, making it a potential platform for content creators.Perplexity's success as a small startup in the AI space demonstrates the value and potential of AI-powered chatbots. Perplexity is a powerful AI tool for research and knowledge quest scenarios.It offers a more conversational and nuanced approach compared to traditional search engines.Perplexity excels in content writing and research, providing source material, human-readable answers, and related questions.It has limitations in local search and the potential for hallucinations in its responses.Perplexity's future lies in community feedback and validation to ensure accuracy and reliability.Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Hosts: Anthony Batt, Shane Robinson and Francesca Vera from the Future-Proof Podcast by CO/AI - The conversation explores the concept of AI agents, also known as and agentic AI (AI Agents), and their potential impact on various aspects of work and life. It delves into the definition of AI agents, their role in reducing cognitive load, and the user experience. The discussion also touches on the potential use cases of AI agents and the challenges associated with their development and implementation. The conversation delves into the future of AI agents and agentic  (AI Agent) workflows, exploring their impact on various industries and job roles. It emphasizes the importance of human connection and the need for AI literacy to adapt to the evolving landscape of work. The discussion also touches on the potential for new entrepreneurial opportunities and the value of interpersonal skills in the age of technological advancement.AI Agent Patterns discussed:Reflection: The LLM examines its own work to come up with ways to improve it.Tool use: The LLM is given tools such as web search, code execution, or any other function to help it gather information, take action, or process data.Planning: The LLM comes up with, and executes, a multistep plan to achieve a goal (for example, writing an outline for an essay, then doing online research, then writing a draft, and so on).Multi-agent collaboration: More than one AI agent work together, splitting up tasks and discussing and debating ideas, to come up with better solutions than a single agent would.Andrew Ng links    • What's next for AI agentic workflows ...    / andrew-ng-on-agentic-workflows  AgentBench https://arxiv.org/Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Future-Proof Podcast by CO/AI.  Hosts: Anthony Batt, Shane Robinson and Francesca Vera from the Future-Proof Podcast by CO/AI discuss the recent advancements in AI technology, particularly focusing on the releases and announcements made by Google and Microsoft. They explore the implications of AI on various aspects of life, including search engines, advertising, and the future of web pages. They also touch on the potential impact of multimodal language models and the challenges and opportunities they present for creators and businesses. In this conversation, Anthony and Shane discuss the potential of AI-powered recommender systems and the implications for businesses. They explore the idea of AI learning from user behavior and making hyper-contextualized recommendations. They also discuss the need for businesses to adapt to the changing landscape of AI and how to leverage AI to stay ahead of the competition. The conversation highlights the importance of innovation and preparing for an AI-enabled world.TakeawaysThe AI race between Google and Microsoft is in high gear, with both companies leveraging AI in various ways.Microsoft is focusing on bringing AI models directly to devices, which has implications for privacy and user experience.Google is working on improving its core products, such as Google Drive and Gmail, using AI technology.The rise of multimodal language models could fundamentally change the way search engines and advertising work.While AI advancements offer new opportunities for creators and businesses, they also pose challenges in terms of discoverability and the future of web pages. AI-powered recommender systems have the potential to make hyper-contextualized recommendations based on user behavior.Businesses need to adapt to the changing landscape of AI and leverage AI to stay ahead of the competition.Innovation is crucial for businesses to thrive in an AI-enabled world.There are numerous AI tools and solutions available that are purpose-built for specific use cases and industries.Having an always-on AI assistant can provide valuable help and support, especially for remote workers.It's important for businesses to think about how their products and services will fit into an AI-enabled world and how they can meet the changing needs and behaviors of customers.Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Hosts: Anthony Batt, Shane Robinson and Francesca Vera from the Future-Proof Podcast by CO/AI breakdown Microsoft's 2024 Work Trend Index Annual Report underscores the growing use of AI in the workplace. It reveals that 75% of knowledge workers employ AI, with 46% having started within the past six months. The report indicates the wide application of AI across various industries and professions, with content writers, graphic designers, and marketing managers being the predominant users.The report also introduces the concept of BYO AI (Bring Your Own AI), where 78% of AI users bring their own AI tools to work. These power users like to experiment and regularly discover new ways to use AI to enhance their work. Notably, employers are increasingly requiring AI skills when hiring non-technical professionals.The report discusses the challenges and opportunities of using AI tools at work, including the reluctance of some to adopt AI, and the necessity to pause and reflect on how AI can assist with tasks. It also considers situations where AI may not be the most effective choice. Over-reliance on AI and the need to maintain human touch in content creation are also addressed.The conversation concludes with a discussion on the future of BYOAI and the potential integration of AI tools into existing workflows and platforms. It contemplates the future of AI in business, and the prospect of systematized AI in organizations. The report suggests that employees might be integrated into a company's culture through AI, which could also promote cross-functional collaboration.The importance of allowing employees to experiment and find their own AI solutions, while also providing top-down guidance and a unified methodology, is emphasized. The report highlights the role of training and community building around AI, and the need for organizations to embrace digital and AI transformations.TakeawaysAI adoption in the workplace is widespread, with 75% of knowledge workers using AI and 46% starting to use it within the past six months.Content writers, graphic designers, and marketing managers are among the top users of AI in various industries.BYO AI is a common practice, with 78% of AI users bringing their own AI tools to work.Power users are willing to experiment and regularly explore new ways of using AI to improve their work.Employers are increasingly considering AI skills as a requirement for hiring non-technical professionals. Some individuals are reluctant to adopt AI tools in the workplace, while others are unsure of where to get started.Pausing and reflecting on how AI can help with tasks is crucial for becoming a power user of AI tools.It is important to consider when AI may not be the most useful choice for a particular task.The future of AI in the workplace may involve the integration of AI tools into existing workflows and platforms. The future of AI in the business world involves systematized AI that facilitates cross-functional collaboration and onboarding employees into a company's culture.https://www.microsoft.com/en-us/worklab/work-trend-index/ai-at-work-is-here-now-comes-the-hard-parthttps://www.linkedin.com/business/talent/blog/learning-and-development/new-framework-for-ai-upskillingJoin our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Hosts: Anthony Batt, Shane Robinson, and Francesca Vera from the Future-Proof Podcast by CO/AI - We analyze the impact of GitHub Workspace and Copilot on the work of both developers and product teams today and in the near future.Github is a version control software, enables developers to save and manage their code changes. With the introduction of GitHub Copilot, powered by OpenAI's language model, developers can use AI to generate code and plan their projects. Microsoft's acquisition of GitHub and their integration with OpenAI solidifies their position as leaders in the AI coding domain. Yet, concerns about intellectual property and code ownership generated by Copilot exist. GitHub aims to expand its user base from 100 million developers to a billion, making coding more accessible to non-developers.The discussion explores the implications of coding assistants like GitHub Copilot and the broader landscape of AI tools for coding. Topics include potential legal and ethical concerns, impacts on developers and the industry, the user experience of these tools, and competition among different coding AI assistants. The conversation also underscores opportunities for non-technical users and the potential for these tools to democratize software development. The hosts stress the importance of considering the intermediate steps and specific tasks that can be accomplished with coding assistants, rather than solely focusing on building billion-dollar companies.TakeawaysGitHub is a popular version control software that allows developers to save and coordinate their code changes.GitHub Copilot, powered by OpenAI's language model, enables developers to generate code and plan projects using AI.Microsoft's acquisition of GitHub and integration with OpenAI positions them as leaders in the AI coding space.There are concerns about intellectual property and ownership of the code generated by Copilot.GitHub aims to expand its user base from 100 million developers to a billion people, making coding more accessible. Coding assistants like GitHub Copilot have the potential to revolutionize software development by providing AI-powered tools that can generate code based on natural language instructions.There are legal and ethical concerns surrounding the use of coding assistants, such as potential copyright infringement and the reliance on proprietary models and data.The impact of coding assistants on developers and the industry is complex, with some seeing it as a threat to their livelihoods while others view it as a powerful tool that can enhance productivity and democratize software development.CO/AI Github & Copilot articleGithub-copilot-workspace ZDNet Github Workspace ArticleTechCrunch ArticleJoin our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Buckle up AI enthusiasts! In this episode of the Future-Proof Podcast, Hosts Anthony, Francesca, and Shane break down the latest shakeup in the Large Language Model (LLM) world. Claude has skyrocketed to the top of the rankings, leaving competitors in the dust. We share our personal experiences with Claude and GPT-4, revealing those critical improvements that are making waves.But does Claude truly reign supreme? We compare it to other powerhouses like Cloud 3, Opus, and even Google's offerings. The key takeaway: don't be fooled by benchmarks alone! We'll show you why experimenting with different LLMs is crucial to finding the perfect AI tool for your needs.Get ready to boost your productivity with LLMs! Find out if Claude is the game-changer you've been waiting for.Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Join Anthony Batt, Shane Robinson and Francesca Vera  as they explore how recent advances in machine learning and artificial intelligence are enabling the rapid growth of emerging startups. With powerful generative AI workflows and automation, these companies have the potential to quickly scale, disrupting traditional industries and becoming the next tech unicorns valued over $1 billion. From intelligent medical diagnosis to automated creative workflows and beyond, we analyze the technologies and business models powering this new breed of AI-first companies. Join us as we track the progress and forecast the future of these promising startups aiming to improve lives with the transformative power of artificial intelligence.Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Shane and Anthony dive into the growing impact of AI on software developers and engineering teams. With demand for skilled developers surging 26% amid an explosion of new AI productivity tools, they discuss whether AI spells opportunity or disruption for programmers' careers.Sharing eye-opening stats from CB Insights Report on adoption in gaming (64% of devs already on board!) and 94% cost savings from AI content generation, they reveal best practices for integrating co-pilot writing assistants at your company. From boosting output with fewer people to the importance of hands-on discovery, you'll learn the key steps engineering and business leaders must take to avoid being left behind.The co-hosts also dig into impending challenges like GPU and data shortages that could slow AI progress if mishandled. They offer actionable advice for partnering with big cloud providers, constructing internal data “factories”, training custom models through private data access, and more.Tune in to future-proof your development team, leverage AI for competitive advantage, and ensure you're fully leveraging this fast-moving wave of augmented coding. The humans must keep pace with the machines!Research Links:Large Language Models and The End of Programming - CS50 Tech Talk with Dr. Matt Welsh https://www.youtube.com/watch?v=JhCl-GeT4jwCBInsights 2024 ReportCB Insights Report - https://www.cbinsights.com/research/report/top-tech-trends-2024/Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

Join Anthony Batt and Shane Robinson, cohosts of Future Proof Podcast by CO/AI to learn about the disruption caused by automation and GenAI tools, and how to maintain your human-powered advantage.Publicis, one of the world's largest advertising companies, recently held investor days, with a significant focus on AI. Anthony and Shane discuss the intelligent decisions made by the leadership team at Publicis Groupe. This team includes global CEO Arthur Sadoun, global CSO Carla Serrano, CEO of Publicis Sapient Nigel Vaz, CEO of Publicis Media Dave Penski, and Chief Solutions Architect for Publicis North America, Sam Levine Archer.Shane and Anthony suggest that business executives should analyze and emulate their strategies. This advice is particularly relevant if you are working at a company owned by Publicis Groupe.  For teams at Publicis Groupe owned companies you will most likely experience significant change and team compression as result of AI automation. Publicis Groupe announcement https://www.publicisgroupe.com/en/news/press-releases/after-another-record-year-ahead-of-expectations-publicis-unveils-ai-strategy-to-lead-group-into-its-second-centuryPublicis Groupe leadership present ideas https://www.youtube.com/watch?v=FCOaeXoD5U0Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!

In this week's Future Proof podcast, hosts Anthony and Shane dive into recent AI announcements from tech giants Meta and Microsoft.They analyze Meta's plans to build the world's largest AI supercomputer using 350,000 NVIDIA chips and make their AI models open source. This allows developers to access cutting-edge AI capabilities and helps Meta attract talent. However, it also forces competitors to keep innovating.Next, they discuss Microsoft's new Copilot integration which embeds AI into Office 365 products like Word, PowerPoint and Excel for $20/month. This provides a smoother user experience compared to OpenAI's ChatGPT. While there is likely revenue sharing between Microsoft and OpenAI, Copilot seems poised to cannibalize some of OpenAI's direct-to-consumer business.Anthony and Shane are impressed by Meta and Microsoft's strategic plays to lead in AI through supercomputing power, developer mindshare and product integration respectively. This contrasts with Google which lacks a cohesive AI strategy despite pioneering nearly all the early research that drives GenAI we use today.Join our community: getcoai.com Follow us on Twitter or watch us on YoutubeGet our newsletter!