HockeyStick Show

Hosted by Miko Pawlikowski

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Aug 2024

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About the show

Explore the moments leading to exponential growth in technology, business, science and more.

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20 recent

August 26, 202419 min

Mastering MLOps - Maria Vechtomova - HockeyStick #20

Mastering MLOps with Maria: Insights and Future TrendsJoin us for an in-depth conversation with Maria, a leading expert in MLOps, as she shares her journey and insights into the world of machine learning operations. Maria discusses the common misconceptions about MLOps, the integration of DevOps practices, and the tools and frameworks that have shaped her career. Discover her unique approach to MLOps, the challenges faced by data science teams, and the evolution of the field. Maria also introduces her new course on MLOps with Databricks, aimed at helping practitioners deepen their skills. Don't miss this episode for valuable advice and a peek into the future of MLOps!0:00 Intro0:31 Marvel and Lego: A Personal Touch1:12 Journey into MLOps02:09 The Evolution of MLOps04:38 Challenges and Best Practices in MLOps06:38 MLOps vs. DevOps08:10 LLM Monitoring and Prompt Engineering10:02 Advice for MLOps Practitioners13:15 Marvelous MLOps: The Blog and Course17:53 Final Thoughts and Career Advice19:21 Conclusion and Farewell

August 12, 202450 min

Hacking Life & AI - Harpreet Sahota - HS#19

Harpreet Sahota on Becoming a Hacker in Residence & AI Innovation: Chat with Miko PawlikowskiJoin Miko Pawlikowski on HockeyStick as he interviews Harpreet Sahota, Voxel51's Hacker in Residence and a prominent figure in the AI community. Harpreet shares his journey from studying math and stats to becoming a biostatistician and data scientist, eventually taking on his current role. They discuss what it means to be a Hacker in Residence, the importance of Voxel51's open-source library in the AI industry, and Harpreet's upcoming book on Practical Retrieval Augmentation Generation. Harpreet also delves into his experiences with LinkedIn courses, his extensive podcasting history, and advice for aspiring AI professionals. Tune in to learn about the intricate balance of responsibilities in Harpreet's role, from creating educational content to exploring novel AI applications.00:00 Meet Harpreet Sahota: Hacker in Residence01:25 Role and Responsibilities at Voxel5104:59 Journey to Becoming a Hacker in Residence10:44 Challenges and Rewards of the Role15:07 Writing a Book on Retrieval Augmented Generation23:12 Creating LinkedIn Learning Courses28:17 Balancing Work and Family Life28:42 Recording Courses from Home28:56 Choosing Not to Be On-Screen29:23 Writing and Newsletters31:07 Industry Events and Conferences35:00 Traveling for Work36:10 The Harpreet Podcast41:59 Future Plans and Building a Dream House44:25 Final Thoughts and Reflections45:33 Advice for Aspiring Professionals

August 5, 202451 min

Simplifying Algorithms - Vadim Smolyakov - HS#18

Simplifying Algorithms with Vadim Smolyakov!Get Vadim's book 45% OFF with code hockeystick24 here: https://mng.bz/4J5QJoin Miko Pawlikowski on HockeyStick as he discusses machine learning algorithms with Vadim Smolyakov, author of 'Machine Learning Algorithms in Depth.' They explore Vadim's experiences at MIT CSAIL, his work at Microsoft, and key machine learning concepts like Bayesian nonparametrics, decision trees, and Markov chain Monte Carlo methods. Vadim also shares insights on his book, the challenges in implementing ML algorithms, and predictions about the future of AI. This episode is perfect for intermediate learners and those new to machine learning.0:00 Guest Introduction: Vadim Smolyakov00:48 MIT CSAIL Experience01:28 Bayesian Inference and Non-Parametrics02:30 Vadim's Work at Microsoft03:14 The Origin of Vadim's Book06:41 Target Audience for the Book08:04 Explaining Bayesian Algorithms15:57 Supervised vs Unsupervised Learning19:22 Decision Trees and Random Forests24:42 Challenges in Implementing ML Algorithms31:32 Top Machine Learning Algorithms45:27 Future of AI and ML50:31 Conclusion and Farewell

July 29, 202438 min

From Windsurfing to AI Meetups - Matt Carey - HS#17

Matt Carey's AI Journey: From Windsurfing to London’s AI MeetupsJoin Miko Pawlikowski on HockeyStick as he chats with Matt Carey, an AI engineer at StackOne, AWS Community Builder, organizer of AI Demo Days, and OpenUK AI Advisory Board member. In this episode, Matt shares his unique path from competitive windsurfing to AI engineering, the challenges of transitioning from outdoor sports to indoor coding, and his passion for building a strong AI community in London. They delve into the vibrant AI scene in London, the importance of open-source advocacy, and the exciting innovations happening in Web AI and browser-based LLMs. Matt provides insights into his work with StackOne and offers advice for aspiring AI engineers and startup enthusiasts.0:00 Introduction to the Episode0:39 Matt Carey's Windsurfing Journey1:58 Transition from Windsurfing to AI4:34 AI Scene in London5:21 AI Demo Days and Meetups10:42 AWS Community Builder Experience14:58 OpenUK AI Advisory Board18:02 Exciting Innovations in the London Startup Scene25:51 Navigating Funding and Incubators in London26:30 Influential Figures and Cool Projects to Follow28:56 The Role of AI Engineers at StackOne33:09 The Fun and Chaos of Tech Twitter

July 22, 202448 min

Quantum Computing in Action - Johan Vos - HS#16

Exploring Quantum Computing with Johan Vos!Get Johan's book 45% OFF with code hockeystick24 here: https://mng.bz/v8daJoin Miko Pawlikowski on HockeyStick as he delves into the fascinating world of quantum computing with Johan Vos, author of "Quantum Computing in Action" and co-founder of Gluon. Discover what makes quantum computing special, its implications for future technology, potential impacts on security, and how to future-proof your career in a quantum-driven world. Johan explains complex concepts like superposition and entanglement in simple terms and discusses real-world applications and the future of quantum hardware. Don't miss this comprehensive guide to understanding the next big leap in computing!0:00 What Makes Quantum Computing Special?1:49 Quantum Computing vs Classical Computing4:17 Real-World Applications of Quantum Computing6:25 Understanding Qubits and Superposition10:02 Quantum Entanglement Explained13:54 Quantum Computing Hardware and Simulators26:06 Programming Quantum Computers42:38 Future of Quantum Computing48:00 Conclusion and Final Thoughts

July 15, 202441 min

Software Engineering Managers - Akanksha Gupta - HS#15

Think Like a Software Engineering Manager - insights with Akanksha GuptaGet her book 45% OFF with code hockeystick24 here: https://mng.bz/v8vaJoin Miko Pawlikowski on this episode of HockeyStick as he delves into the world of software engineering management with Akanksha Gupta, author of "Think Like a Software Engineering Manager". Explore Akanksha's journey from software engineer to engineering manager and gather valuable insights on making the transition, thriving in the role, and avoiding common pitfalls. Learn about essential skills such as delegation, career discussions, and maintaining team morale, along with practical strategies for hiring, managing attrition, and personal growth.0:00 Intro0:24 Meet Akanksha Gupta: Author and Engineering Manager1:09 The Journey from Engineer to Manager1:34 Writing the Book: Inspiration and Challenges4:31 Deciding to Transition: Promotion vs. Lateral Move9:09 Navigating the People Aspect of Management15:19 Key Traits of a Good Engineering Manager34:52 Continuous Learning and Self-Growth40:00 Final Advice for Aspiring Engineering Managers

July 13, 20241 hr 4 min

Robo Advisors - Rob Reider & Alex Michalka - HS#14

Exploring Robo Advisors with Python Experts: Rob Reider & Alex MichalkaGet their book 45% OFF with code hockeystick24 here: https://mng.bz/ngjdJoin Miko Pawlikowski on this episode of HockeyStick as he dives into the world of robo advisors with industry heavyweights Rob Reider and Alex Michalka, authors of "Build a Robo Advisor with Python from Scratch". Discover their fascinating career paths from hedge funds to robo advising, the intricacies of Python programming for finance, and the evolution of financial planning and optimization techniques. Gain insights into asset allocation, tax-loss harvesting, Monte Carlo simulations, reinforcement learning, and the future of robo advising. An essential watch for anyone interested in the intersection of finance and technology!0:00 Introduction to Robo Advisors0:50 Rob Reider's Career Journey01:40 Quantopian and the Love for Python04:19 The Birth of a Book Collaboration05:11 Alex's Journey and Weather Derivatives08:08 Understanding Hedge Funds vs. Robo Advisors11:13 The Rise of Robo Advisors17:30 Tax Efficiency and Asset Allocation24:51 Target Audience and Book Insights28:21 Monte Carlo Simulations Explained31:15 Monte Carlo Simulations Explained32:01 Applications of Monte Carlo Simulations33:34 Introduction to AI and Reinforcement Learning35:25 Reinforcement Learning in Finance39:38 The Power of Python in Finance42:23 Challenges in Measuring Returns1:01:35 Conclusion and Final Thoughts

June 21, 20241 hr 1 min

LLMOps, Large Language Models in Production - HS#13

Understanding LLMOps: Differentiating from MLOps with Abi AryanJoin Miko Pawlikowski on this episode of HockeyStick as he interviews Abi Aryan, a leading expert and author on Large Language Model Operations (LLMOps), to distinguish it from Machine Learning Operations (MLOps) and Machine Learning Engineering (MLE). Abi delves into the challenges and unique requirements of managing generative models in production, discusses the evolution and future of LLMOps, and shares insights into her upcoming book, 'LLMOps: Managing Large Language Models in Production.' Gain understanding on safety, scalability, robustness, and the lifecycle of LLMs, and learn practical steps to effectively deploy and monitor these advanced models.00:00 Introduction1:11 Generative vs. Discriminative Models1:58 Challenges in LLMOps2:12 The Shift to Task-Agnostic Software2:50 Fine-Tuning and Prompt Engineering4:37 The Origin of LLMOps13:20 Safety, Scalability, and Robustness in LLMOps29:40 Dynamic Model Adaptation30:37 Challenges of Static Models31:42 Improving Model Performance32:20 Introducing a New Framework34:06 Lifecycle of an LLM in Production35:29 Data Engineering and Evaluation37:06 Orchestration and Security47:51 Future Predictions and Concerns48:46 Impact on Jobs and Society55:06 Risks and Ethical Considerations59:11 Industry Trends and Monopolies01:00:52 Conclusion and Contact Information

June 17, 202443 min

AI-Assisted Testing - HS#12

AI Impact on Software Testing: Expert Insights with Mark WinteringhamGet Mark's book 20% OFF with code hockeystick24 here: https://mng.bz/oeWDIn this episode of Hockey Stick, host Miko Pawlikowski welcomes Mark Winteringham, author of 'AI Assisted Testing,' to discuss the impact of generative AI on software testing. They explore the efficacy of AI in writing tests, the future of software testing jobs, and the diverse roles within the testing profession. Mark provides his insights and experiences from 15 years in the industry, shares the concept of exploratory testing, and discusses the practical applications and limitations of AI tools in the testing landscape. Key takeaways include the importance of empathy, critical thinking, and collaboration in testing, as well as how to effectively use AI tools for specific tasks. Tune in for an in-depth conversation on the evolving world of software testing.00:00 Introduction to AI in Software Testing00:17 Meet Mark Winteringham: A Journey into Software Testing00:46 The Role and Daily Life of a Software Tester14:01 Exploring the Impact of AI on Software Testing17:35 Generative AI: Opportunities and Challenges20:53 Practical Use Cases for AI in Testing39:14 The Future of AI in Software Testing42:02 Conclusion and Final Thoughts

June 10, 202453 min

HockeyStick #11 - MLOps essentials

The Essentials of MLOps: With Eric RiddochJoin Miko Pawlikowski as he dives into the world of MLOps with Eric Riddoch, a machine learning platform engineer and MLOps practitioner. In this episode, they discuss the differences between MLOps, DevOps, and platform engineering, tools and practices in MLOps, as well as Eric's journey into the field from studying applied math to becoming an MLOps expert. They explore automated workflows, experiment tracking, model serving, and monitoring, while considering the evolving landscape of MLOps and the challenges of integrating various tools. Tune in for an in-depth look at the technical and non-technical aspects of MLOps, and learn why this field is critical and exciting.00:00 Introduction to MLOps01:20 Eric Riddoch's Journey into MLOps08:12 The Emergence of MLOps10:23 Comparing MLOps and DevOps10:53 Challenges in MLOps21:15 Tools and MLOps Maturity25:57 Building an ML Platform with Orchestrators26:35 Experiment Tracking and Model Performance27:08 ML Flow and Alternatives29:18 Serving Models with BentoML31:49 Challenges with SageMaker and GPU Quotas32:54 Monitoring Tools and Their Limitations36:48 The PyTorch vs TensorFlow Debate42:41 Challenges in MLOps Roles and Leadership50:42 Advice for Aspiring MLOps Engineers

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