In this episode Frank and Andy welcome Jennifer Swanson explains how businesses can reinvent themselves for the data driven age of AI. From recognizing the importance of defining clear strategies and outcomes to the struggles of change management, Jennifer reveals that the heart of digital transformation lies in aligning individuals to the company's objectives, and significantly, that it's less about the technology itself and more about the people and processes. Whether you're a leader in your organization, part of a cross-functional team, or simply intrigued by the intersections of technology and business, this episode is a rich exploration of what it really means to be digitally transformed.Show Notes05:31 Technology now integral to every business operation.07:07 Offline businesses integrating technology for improved experience.10:04 First wave of digital transformation: applying technology.14:09 Data governance key to organization's predictable success.16:54 Organizational governance ensures strategy, priorities, and outcomes.21:47 Training, support, and focus key for empowerment.25:57 Selecting narrow slices drives model implementation success.28:49 "Positive experiences with scrum and DevOps"32:22 Leadership defines market, customer, and problems.36:12 In cross functional teams, sticking to lanes.38:53 Embrace collaboration and diplomacy for success.40:26 Smart professionals promoted to leadership roles, questioning suitability.44:15 Found work through family influence and adaptability.47:23 Experimenting with tech is now very accessible.50:28 Family loves Audible, enjoys romance novel series.55:23 Jennifer, thanks for the great digital transformation explanation.

In this episode, Danny Maloney is going to lead you on a journey to explore how artificial intelligence is not just a fleeting novelty but a tool of immense utility that's changing the playing field for individuals and small businesses alike. Danny brings his passion for algorithmic innovation from his experiences as a data-loving youth to his leadership role at Tailwind, where they leverage AI to level the marketing playing field for small businesses.Show Notes06:16 Early days of prevalent AI models, feedback loop.08:37 Small businesses struggle with limited resources for marketing.12:31 AI guides marketing decisions for faster success.16:34 AI leader initiating internal discussions on AI's impact.19:18 Experts experimenting, varying responses to AI capabilities.23:43 Early phase of tech development and impact.26:35 Tool Dingo ported from C# to Python.29:47 Making prompt engineering unnecessary for average users.31:39 Requested a specific image prompt and tested.35:03 OpenAI developing GPT-5, creating internet frenzy.38:58 Helping users personalize and develop voice technology.43:24 Retro tech culture and its work ethic.45:47 Chat GPT upsets media writers, AI creativity.48:57 Digital journey ends with gratitude and encouragement.

Welcome to show 357 of the Data Driven podcast! This week, we welcome Luke Diaz to the show.Luke has an impressive track record of scaling startups to staggering annual recurring revenues, and today, he's here to shed light on the pivotal role of customer success in growing a business. We'll dive deep into the intricacies of customer success management, its impact on subscription models, and the measurements that underpin it. Luke also shares personal insights into his daily habit tracking and the data-driven approach to setting quarterly goals.But that's not all – Luke opens up about his journey from being a hedge fund manager to making a name in the software industry, cultivating unyielding ambition, and the significance of customer feedback in lieu of venture capital insights.Show Moments05:27 Marketing function has evolved, delivering value.09:15 Companies need high retention to be successful.13:34 Emphasizing the challenge of defining success in startups.17:07 Analyze customer success, product strength, usage frequency.20:01 Companies hesitant to invest in customer success.24:38 VC interviews, cautionary tales, and relationship importance.26:12 Caution to look at numbers in term sheets.32:32 Entrepreneur achieves $100 million sale in 7 years.34:13 Machine learning hype outweighs business value currently.36:40 CSMs can upload public filings to chat GPT 4 for efficient reading.39:47 Screenshots are simple, stable, and pervasively used.43:34 Star Trek technology influencing modern innovations.48:10 Recent recommended books on leadership and strategy.50:22 Thank you to guest Luke Diaz, feedback appreciated.

Today, we're thrilled to welcome a special guest, Jeremy Utley, an academic marvel from Stanford, whose work on AI and idea flows is altering the landscape of business and innovation. In this episode, titled “Jeremy Utley on Getting the Most out of LLMs”, we dive into Jeremy's FIXIT approach for leveraging Large Language Models (LLMs) such as ChatGPT.Jeremy will unpack the nuances of FIXIT, showing us the importance of providing context, iterative interaction, and team incubation while using AI. We'll reminisce about how technology has evolved from cell phone minutes to AI, which is becoming as ubiquitous as smartphones once were.Frank will voice concerns about the technical aspects, like token length, while agreeing with Jeremy's method. We'll examine why AI needs to be seen as a collaborative partner rather than a magical solution. Jeremy will shine a light on his book "IdeaFlow" and share his insights on the psychological barriers hindering the effective use of AI in practice.Expect to hear anecdotal wisdom about the transformative impact of ChatGPT, the importance of prompt engineering, and the potential of AI to refine negotiation skills. Jeremy will even offer examples of how generative AI can offer fresh perspectives on personal and emotional decisions.Don’t forget Frank’s experiments with creating custom GPTs, such as for our character Bailey. Our lively discussion promises to leave you with a wealth of knowledge on interacting with and extracting maximum value from AI.For all this and much more, stay tuned in as we journey through the possibilities and realities of AI as a tool for amplifying human capacity.And before we kick things off, a quick reminder to check out Audible for the best in audiobooks, and please take a moment to rate and review Data Driven to help us grow and bring you content you love.Now, without further ado, let's get data driven.Show Notes00:00 "Idea flows: the only business metric that matters."05:35 Striving for the best is essential.06:46 Expert hesitations on using AI for knowledge.11:27 Asking for help, ended up with an image.14:41 Convince family to take job offer role-play.16:08 Learning new skills and fostering imagination through technology.19:54 Seek understanding from personal experiences and examples.25:48 Keanu Reeves movie sparks philosophical wonder.28:42 AI prompts emotional epiphanies for life decisions.32:11 Accidental query on creating GPU prompts explanations.36:08 Instructions for using voice mode during coaching.39:50 Ease of use and utility in busy life.43:18 Key to AI success: Team collaboration is essential.47:07 Kids don't care about data plans.50:45 Released groundbreaking technology; implications for all industries.53:18 Excited to buy internet access for chat.54:54 Jeremy Utley wows with innovation and wisdom.

In this episode, we delve into the profound enablement of large language models like ChatCPT and how they stand to revolutionize personalized learning. Rene gives us a glimpse of a future where robots and AI can liberate us from mundane chores and reshape the workforce, as seen with robots now flipping burgers at McDonald's.Imagine the world of quantum computing, where current strategies are reimagined to solve gargantuan optimization problems, a realm of technological advancement that Rene is no stranger to, and one which he assures holds the keys to the future, especially with security.The conversation takes a personal turn as Rene reflects on his origins in former East Germany and how peaceful protests carved the path to a united nation and consequently, his journey into AI. Show Notes06:05 Digital humans are embodied AI in a digital realm, replicating human appearance and emotion.09:51 AI approximating language and emotions' impact debated.13:14 Warning about irresponsible use of deepfake technology.16:06 Rapid evolution of bank heist and technology.19:20 Create 3D scenes from mine interior.21:43 Excitement for AI courses evolving into practical use.26:42 Labeling dangerous AI, balancing regulation and innovation.28:12 Automation impacts taxes, privacy, and human creativity.32:11 Language models can help, but verify outcomes.36:54 Tech companies develop own silicon for efficiency.38:09 Excitement over open weight AI models release.42:40 War and pandemic showed weak supply chains.46:26 Quantum computing holds untapped potential, significant savings.47:54 Data encryption is essential for online security.52:05 GPT chat provides effective personal information summaries.55:55 Audible sponsors podcast; free audio book offer.58:23 Digital podcast journey with Rene Scholter. Subscribe!

In this episode, our Andy Leonard and Frank La Vigne sit down with Ronen Dar, the co-founder and CTO of Run AI, to explore the world of artificial intelligence and GPU orchestration for machine learning models.Ronen shares insights into the challenges of utilizing GPUs in AI research and how Run AI's platform addresses these issues by optimizing GPU usage and providing tools for easier and faster model training and deployment. The conversation delves into the concept of fractional GPU usage, allowing multiple workloads to run on a single GPU, making expensive GPUs more accessible and cost-effective for organizations.LinksRun AI https://www.run.ai/Acquired Podcast Episode on Nvidia https://www.acquired.fm/episodes/nvidia-the-machine-learning-company-2006-2022Show Notes04:40 GPU technology enabled for cloud AI workloads.07:00 RunAI enables sharing expensive GPU resources for all.11:59 As enterprise AI matures, organizations become more savvy.15:35 Deep learning, GPUs for speed, CPUs backup.16:54 LLMs running on GPU's, exploding in market.23:29 NVIDIA created CUDA to simplify GPU use.26:21 NVIDIA's success lies in accessible technology.28:25 Solve GPU hugging with quotas and sharing.31:15 Team lead manages GPU quotas for researchers.35:51 Rapid changes in business and innovation.40:34 Passionate problem-solver with diverse tech background.43:38 Thanks for tuning in, subscribe and review.

In this episode, Frank sits down and talks with Devvret Rishi on powering real-world AI projects with declarative ML and the importance of open source.Andy was not able to attend this recording, but will be back next week!Show Notes04:36 Build, train, serve, deploy; critical data engineering link.07:24 Model configuration for input output prediction summaries.11:05 Saw spike and heavy churn after rollout.16:21 Advancements in AI: use pre-trained deep learning models.19:38 Trends for Gen AI: creative use cases, specialized APIs.21:31 Questioning a sales tactic and legal concerns.25:58 People can introspect, edit, and change models.30:02 Early data science projects led to passion.31:24 Cybersecurity and AI partnership driving industry innovation.33:58 Understanding randomness as a valuable model feature.39:39 Technology provides accessible, shared experiences in AI.41:51 Technology as a companion for psychological support.44:06 Immigration experience from India to Silicon Valley.47:59 Unexpected culture shock from Bay Area to Boston.50:40 Easily learn with hands-on prediabase.com access.Speaker BioDevvret Rishi is a co-founder of Prediabase, a platform that helps engineers and developers productionize open source AI. The idea for Prediabase came from Rishi's co-founder Piero's experience at Uber, where he noticed that he was constantly reinventing the wheel with each new machine learning project. To streamline the process, he created a tool called Ludwig, which eventually became popular at Uber and was open sourced. Rishi's work with Prediabase has revolutionized the way AI is developed and implemented in engineering teams around the world.

In this episode, the Frank and Andy are joined by special guest Blake Reichenbach, a product manager at HubSpot and the owner of Howdy Curiosity, an online nonfiction bookstore and learning community. The conversation dives into the intersection of data, AI, and the love of books, as they discuss the next steps in managing and mitigating the hallucination part of AI technology, the importance of human interaction with AI tools, and finding the right balance in user experience. Blake shares his insights on integrating AI into HubSpot's platform, emphasizing the need for a balanced approach, and the pitfalls of solely relying on generative AI tools in marketing. Stay tuned as they also touch on personal matters, career transitions, and the rapid evolution of technology. This episode is packed with valuable insights and engaging conversations - you won't want to miss it!Show Notes00:00 HubSpot is a leading CRM platform.05:44 New AI features for CMS and websites.09:33 Gen AI tools need to prioritize meaningful data.11:34 Summary: Suggesting blending human and AI for success.15:34 ML models need precise training on nuanced datasets.17:13 Content marketing: human connection, AI balance, user experience.21:24 Approach content marketing like a multi-bandit test.26:56 Selling nonfiction books online and sharing recommendations.27:54 Rapid tech evolution creating excitement and challenges.30:56 Balancing work and entrepreneurship for personal growth.35:24 Thanks Frank, Andy, and Blake for amazing show.Speaker BioBlake Reichenbach is a proud employee of HubSpot, a leading customer relationship management platform for scaling companies. With a focus on the CMS aspect of the platform, Blake is passionate about helping businesses with their front office needs, including marketing, sales, service, and data operations. With a bias towards HubSpot, Blake believes in the product and the company, and recommends it highly for businesses looking to streamline their operations.

In today's episode, the hosts Frank La Vigne and Andy Leonard are joined by the expert in location data and machine learning, Max Sklar. Max shares insights from his decade-long tenure at Foursquare, delving into the company's evolution, gamification features, the challenges faced in the local search space, and his early interest in location data. The conversation explores the enduring relevance of foundational tech concepts, the cyclical nature of technology trends, and Max's personal journey into data and machine learning. Max also discusses his podcast, "The Local Maximum," and his diverse interests, including abstract math papers and a project rewriting the US Constitution. Join us as we dive into a thought-provoking discussion about AI, data science, and the ever-evolving world of technology with Max Sklar.Show Notes00:00 Foursquare split, confused but loved the concept.04:29 Rewards program failed due to lack of scalability.08:44 Early career in New York City's tech boom.13:05 Foursquare uses phone data to track locations.16:25 Models analyzed data to improve sentiment analysis.20:02 Data pipeline technology used for real-time deployment.20:54 Python written code, comparing different languages used.24:17 Navigating reinvention in a changing world.29:38 Joined wireless generation, now known as Amplify, as a software engineer.31:53 Machine learning brings data to life.34:26 Using OpenAI API to create interactive content.40:03 Technology enables limitless creativity and storytelling potential.42:12 Enjoys volunteering in underserved communities around the world.44:36 Extensive library and website featuring various projects.47:48 Please subscribe, rate, and review our podcast.

In this episode of Data Driven, our Andy Leonard and Frank La Vigne are joined by Chris McDermott, VP of Engineering at Wallaroo.AI. Together, they explore the challenges and advancements in the ever-evolving world of machine learning and artificial intelligence.From the importance of ongoing care for machine learning models to the rise of edge computing and decentralized networks, they touch on the critical need for flexibility and data privacy. Chris shares his insights on the technical challenges of AI and ML adoption, as well as his unique career journey. They also discuss the evolution of technology and the potential future impact of these innovations.Join us for a deep dive into the world of AI, technology, and the future of machine learning with Chris McDermott on this episode of Data Driven.Show Notes00:00 Exploring AI, data science, and data engineering.06:20 Training and inferring are different stages.08:12 Legacy AI doesn't require neural networks or GPUs.12:09 Machine learning models require consistent care and monitoring.15:10 MLOps merges skills, breaks down silos, collaborates.16:47 Prefer MLOps to avoid namespace collision. DevOps parallels original Star Wars plot.20:27 Internet-scale operations require automation and resilience.24:13 Challenges of integrating AI into business processes.28:03 New push for edge computing in technology industry.32:05 Edge technology critical, discussed in government tech symposium.34:50 Navigating from SendGrid to Twilio simplified processes.36:15 First foray into data, growing knowledge.39:33 Technology evolves, builds complexity over time.44:41 Book recommendation: "Seeing Like a State" by James C. Scott discusses legibility and centralization of power in society.46:28 Predictable tree farming fails due to ecosystem complexity.Speaker BioChris McDermott is a software engineer and entrepreneur who is passionate about creating products that make machine learning more accessible and manageable for users. His focus is on developing a platform that allows for easy deployment and management of machine learning models using any framework and on any architecture or hardware. He believes that current solutions in the market force users into a specific platform, and he aims to provide a more flexible and efficient alternative. With a strong belief in the potential of his product, Chris is dedicated to making machine learning more accessible and user-friendly for people across various industries.