Let's Talk AI

Let's Talk AI

Let’s Talk AI is the podcast that makes you dive deeper into Artificial Intelligence. We talk with experts about topics, challenges, technologies related to AI with no fear to get into technical details. The goal is to learn from guests that are passionate about AI shares about real world cases, to take your business, career and projects to the next level! Hosted on Ausha. See ausha.co/privacy-policy for more information.

Author

Let's Talk AI

Category

Technology

Podcast website

podcast.ausha.co

Latest episode

Feb 25, 2026

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Episodes

#49 - From Finance to Data, LinkedIn Instructor, DevRel and Community with Megan Lieu 23.11.2023

🎙️ Who is Megan Lieu? Megan Lieu has been growing in multiple roles in the data field while sharing her journey on linkedIn and actually works as a DevRel at Deepnote. She is a linkedin instructor, author of multiple successful courses and have built a community over 80k+ people on linkedIn. 💡 In this episode... ... we discuss about Megan's journey and growth in the data field. She discusses her...

#48 - MLOps with MLOps Tech Lead Maria Vechtomova 15.11.2023

🎙️ Who is Maria Vechtomova? Maria Vechtomova is a MLOps Tech Lead passionate about streamlining processes and enhancing collaboration using MLOps. She has extensive 10+ years of experience, leading MLOps transformation and helping brands boost their MLOps maturity while improving security and transparency when it comes to ML model deployments. Maria share her thoughts and experiences through publi...

#47 - Entrepreneurship, DE/DS, Agents, Overall Vision of 20+years in the field with Raphaël Mansuy 09.11.2023

🎙️ Who is Raphaël Mansuy? Raphaël Mansuy is a seasoned data and AI strategist with over 20 years of global technology leadership experience. He is on a mission to democratize data management and AI, empowering organizations to build robust, scalable data platforms that drive transformative business outcomes. With his consultative approach, he deeply understands the unique requirements and goals of...

#46 - Data Eng./Data Sc., Data Projects, Accountability and Communication with Fabian Werkmeister 01.11.2023

🎙️ Who is Fabian Werkmeister? Fabian Werkmeister, an Data Scientist/Data Engineering with a background in business administration who turned to data science and fell in love with it. Fabian's ability to translate between business and tech gives him a comprehensive view of data projects from beginning to end. 💡 In this episode... ... we discuss Fabian's personal mission and love for creating in te...

#45 - Data Science, Kaggle Master, ChatBots and Fraud Detection with Andrey Lukyanenko 25.10.2023

🎙️ Who is Andrey Lukyanenko? Andrey Lukyanenko is a data scientist with a strong track record in data science. He has a result-driven mindset and has previously worked as an ERP-system consultant, which has given him a deep understanding of various aspects of business operations. Andrey is a Kaggle Competition Master and has achieved the 1st rank in kernel ranking. He is passionate about applying...

#44 - Data Scientist, AI Instructor and Autonomous Shopping with Jamshaid Sohail 19.10.2023

🎙️ Who is Jamshaid Sohail? Jamshaid Sohail is a data science master's graduate who is experienced in solving data science problems in the industry for four years. He is an alumnus of several renowned universities, including RWTH Aachen University (Germany), University of Cambridge (England), Lahore University of Management and Sciences (Pakistan), National University of Computer and Emerging Scien...

#43 - Agostino Calamia: Senior Data Scientist at Shopify, ML Engineering, MLOps and Collaboration 11.10.2023

🎙️ Who is Agostino Calamia? Agostino Calamia is a Senior Data Scientist at Shopify with experience in the entire machine learning lifecycle. Agostino has been pivotal in scaling MVPs to 7-digit ARR products. In 2019, he transitioned from a Project Manager position to Data Science as he fell in love with the analytical part of businesses. Since then, he has worked with data teams for small, medium,...

#42 - Principal Scientist, Elastic Search, Game Dev and Public Speaking with Susan Shu Chang 04.10.2023

🎙️ Who is Susan Shu Chang? Susan is a Principal Scientist at Elastic Search, an O'Reilly online course instructor, the author of the upcoming book "Machine Learning Interviews" (O'Reilly), and a speaker who has shared her knowledge and experience at several conferences worldwide. Susan also worked in video game development where she learned valuable lessons in team growth and personal development....

#41 - Data Engineering, DevRel, Content Creation and Career Tips with Mehdi Ouazza 27.09.2023

🎙️ Who is Mehdi Ouazza? Mehdi Ouazza is a data engineer turned developer advocate with over 10+ years of xp in the industry. He defines himself as a “data geek entrepreneur” who’s passionate about Big data, Data science, Web App and Music. Mehdi is the creator of the Data Creators Club and share content on youtube, substack and linkedIn. 💡 In this episode... ... we discuss Mehdi's philosophy on l...

#40 - AI-Powered Business Intelligence, Data Science, Agile, Author & Career with Tobias Zwingmann 20.09.2023

🎙️ Who is Tobias Zwingmann? Tobias Zwingmann is an AI advisor, author, and online teacher who focuses on helping non-technical small or mid-sized B2B companies adopt AI and machine learning faster and deliver relevant business value. With over 15 years of professional experience in the corporate world, Tobias has developed an enterprise-wide data strategy, built data science use cases, and develop...

#39 - Machine Learning Engineering, NLP & Psychology with with Tales Marra 13.09.2023

🎙️ Who is Tales Marra? Tales Marra is a Data Scientist and Machine Learning Engineer with a passion for deep learning. His career goals are focused on developing and implementing AI and machine learning solutions across a range of fields, such as natural language processing, recommender systems, and image processing. 💡 In this episode... ...  we discuss Tales's career goals and experience in AI a...

#38 - Data Engineering, Career, Mentor and Hands-On Learning with Andreas Kretz 06.09.2023

🎙️ Who is Andreas Kretz? Andreas Kretz is a Data Engineering expert and founder of LearnDataEngineering.com , where he teaches everything about becoming a Data Engineer or using Data Engineering in current jobs. With over 100,000 engineers and scientists in his network and a private engineering network of over 1000 students, Andreas is a mentor and recruiter for top Data Engineering talent. He has...

#37 - Data Strategy, Data Science, CTO, Python & R with Boyan Angelov 31.08.2023

🎙️ Who is Boyan Angelov? Boyan Angelov is an experienced business and technology leader with a unique and amazing journey into data science, data strategy and is the author of the two books: "Python and R for the modern data scientist" (O'Reilly) and "Elements of Data Strategy". He have a robust history in architecting and implementing strategic solutions across a variety of organizational scales....

#36 - Essential Math for AI, Data Science and Data Engineering with Hala Nelson 16.08.2023

🎙️ Who is Hala Nelson? Hala is an Associate Professor at the Department of Mathematics and Statistics at James Madison University, and author of the book Essential Math for AI with O’REILLY Media. Hala have an amazing journey from partial differential equations to interdisciplinary applications, bridging the gap between academia and the real world in AI, and the importance of building a strong dat...

#35 - Semantic Modeling, Ontology and Knowledge Graphs with Panos Alexopoulos 09.08.2023

🎙️ Who is Panos Alexopoulos? Panos Alexopoulos is a data and semantic technologies professional with a focus on the intersection of data, semantics, and software. He is the author of the book "Semantic Modeling for Data - Avoiding Pitfalls and Breaking Dilemmas," published by O'Reilly in September 2020. Panos is currently the Head of Ontology at Textkernel, where he leads a team of data profession...

#34 - Apache Iceberg, Big Data, Data Architecture and Open-source with Dipankar Mazumdar 02.08.2023

🎙️ Who is Dipankar Mazumdar? Dipankar is a passionate Data Engineering and Data Science Advocate and a community-focused individual currently working at Dremio. His primary focus is to assist engineering teams in building and scaling robust data platforms using open-source solutions like Apache Iceberg, Apache Arrow & Project Nessie. Dipankar strongly advocates data practitioners about Dremio'...

#33 - Data Observability, Spark and Career with Andy Petrella 26.07.2023

🎙️ Who is Andy Petrella? Andy Petrella is the founder of Kensu, a company focused on data observability to build trust in data teams. As a programming, mathematics, and data observability expert, he created Spark Notebook for data engineers and scientists using Spark and Scala. Andy's work with Kensu involves developing a unique "Data Observability Driven Development" solution that empowers data t...

#32 - MLops, ML Engineer, AI systems and Deep Learning with Paul Iusztin 12.07.2023

🎙️ Who is Paul Iusztin? Paul Iusztin is a machine learning engineer with over 5 years of experience in the industry with a background in software engineering, and mathematics. He is passionate about building and engineering AI systems using MLOps good practices and active iteration problem-solving processes. Paul have strong experiences working in different machine learning job positions and offer...

#31 - Deep Learning, Research, NLP, Career and Vector Databases with Nils Reimers 05.07.2023

🎙️ Who is Nils Reimers? Nils Reimers, a renowned NLP and Deep Learning researcher with extensive experience in representing text in dense vector spaces. He is the creator of SBERT.net and currently serves as the Director of Machine Learning at cohere.ai, where he is responsible for creating the world's best language models for search and content aggregation. Nils also into many others achievements...

#30 - Scaling Machine Learning Models, Spark, Agile, Software Engineering and KPIs with Adi Polak 28.06.2023

🎙️ Who is Adi Polak? Adi Polak is Vice President of Developer Experience at Treeverse, a machine learning and data systems expert with a passion for building a better world through open collaboration. Adi brings her industry knowledge and research experience to educate and help teams design, architect, and build cost-effective data systems and machine learning pipelines with scalability, expertise...

#29 - History, Philosophy, Superintelligence and Challenges of AI with William J. Littlefield II 14.06.2023

🎙️ Who is William J. Littlefield II? William J. Littlefield II is a technology entrepreneur, CTO at Wizest, and academic researcher in digital ethics and philosophy of technology. With extensive experience in fintech, software architecture, and complex API integrations, William has managed globally distributed engineering teams through complex projects. He leads from the front, prioritizing execut...

#28 - Portfolio Theory, Data Science and Entrepreneurship with Peter Cotton 08.06.2023

🎙️ Who is Peter Cotton? Peter Cotton is a highly accomplished and experienced Quant who currently leads data science for Intech Investments, where he works on the theory and practice of portfolio construction. He has invented Schur Portfolio allocation, which unifies machine learning HRP and more traditional MPT approaches. With his expertise in the field, he has also created and maintained variou...

#27 - Hands-On Learning, Research Papers and Open Source with ML Engineer Francesco Zuppichini 31.05.2023

🎙️ Who is Francesco Zuppichini? Francesco Zuppichini is a Machine Learning Engineer with a love for reconstructing and breaking things to uncover their inner workings. With a Bachelor's degree in Computer Science, he pursued his curiosity and fell in love with the possibilities of Artificial Intelligence, specifically deep learning. Francesco has worked on computer vision projects, NLP, reinforcem...

#26 - Bridging the Gap Between Data and Strategy with Dylan Anderson 24.05.2023

🎙️ Guest Description:  Dylan Anderson is a data strategy consultant and industry leader with a passion for bridging the gap between data and strategy. Dylan shares his journey to becoming a consultant, specializing in election analytics and data strategy consulting. He emphasizes the importance of building a strong foundation for data analytics and AI success, prioritizing meaningful metrics for c...

#25 - Revolutionizing Government Decision-Making: The Power of Data Intelligence with Andrea Barenque 17.05.2023

🎙️ Guest Description: In this episode, we had the privilege of diving deep into the expertise of Andrea Barenque. With over eight years of experience as a civil servant for the Mexican government, Andrea brings a wealth of knowledge on using data to drive better decisions in government and building effective multidisciplinary teams for AI-driven solutions. Her remarkable career path, spanning from...

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