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PODCAST

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.

technology

All Episodes

58:14

#39 - Machine Learning Engineering, NLP & Psychology...

Let"s Talk AI ·

2023/09/13

🎙️ 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 and machine learning, offering advice for data professionals on improving as machine learning

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1:12:26

#38 - Data Engineering, Career, Mentor and Hands-On...

Let"s Talk AI ·

2023/09/06

🎙️ 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 extensive experience in using tools like AWS, GCP, Apache Spark, and Apache Kafka, to name a few, to

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1:03:30

#37 - Data Strategy, Data Science, CTO, Python & R...

Let"s Talk AI ·

2023/08/31

🎙️ 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. 💡 In this episode... ... we discuss Boyan's journey and insights about data science and data

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1:13:52

#36 - Essential Math for AI, Data Science and Data...

Let"s Talk AI ·

2023/08/16

🎙️ 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 data foundation for effective decision-making in AI and data fields. 💡 In this episode... ... we discuss

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58:23

#35 - Semantic Modeling, Ontology and Knowledge...

Let"s Talk AI ·

2023/08/09

🎙️ 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 professionals in developing and delivering a large cross-lingual Knowledge Graph in the HR and Recruitment

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53:51

#34 - Apache Iceberg, Big Data, Data Architecture and...

Let"s Talk AI ·

2023/08/02

🎙️ 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's Lakehouse platform. Besides, he also led the R&D Advocacy team at Qlik, where he worked on key

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1:09:55

#33 - Data Observability, Spark and Career with Andy...

Let"s Talk AI ·

2023/07/26

🎙️ 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 teams to trust what they deliver. He emphasizes the importance of data observability and transparency in

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1:07:14

#32 - MLops, ML Engineer, AI systems and Deep...

Let"s Talk AI ·

2023/07/12

🎙️ 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 offers tips and advice for individuals looking to enter the AI field. His mission? To build data-intensive

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55:28

#31 - Deep Learning, Research, NLP, Career and Vector...

Let"s Talk AI ·

2023/07/05

🎙️ 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 created the science team for Neural Search at HuggingFace from scratch and much more. 💡 In this

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50:24

#30 - Scaling Machine Learning Models, Spark, Agile,...

Let"s Talk AI ·

2023/06/28

🎙️ 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, and business goals in mind. She is the author of "Machine Learning With Apache Spark," a frequent

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2:02:26

#29 - History, Philosophy, Superintelligence and...

Let"s Talk AI ·

2023/06/14

🎙️ 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 execution while maintaining high morale. William is highly skilled in communicating technical concepts to

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1:21:40

#28 - Portfolio Theory, Data Science and...

Let"s Talk AI ·

2023/06/08

🎙️ 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 various microprediction projects, including packages, books, and live probability exchange. Peter has

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1:05:03

#27 - Hands-On Learning, Research Papers and Open...

Let"s Talk AI ·

2023/05/31

🎙️ 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, reinforcement learning, and real-time data analytics. He has a wealth of experience developing open source

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1:14:29

#26 - Bridging the Gap Between Data and Strategy with...

Let"s Talk AI ·

2023/05/24

🎙️ 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 client engagement and effective communication of data insights. Dylan also discusses the challenges in

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1:09:03

#25 - Revolutionizing Government Decision-Making: The...

Let"s Talk AI ·

2023/05/17

🎙️ 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 open government to AI solutions, fuels her passion for leveraging data intelligence to create positive

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59:51

#24 - The Influence of Coding and Math Skills in...

Let"s Talk AI ·

2023/04/26

In this episode... Today we are joined by Senior Data Analyst Jess Ramos. With a Master's in Business Analytics from UGA, Jess has found her passion for data where she uses her critical thinking, coding and Math skills daily. Jess is an empowering woman in the field of Analytics and is passionate about encouraging other women to pursue careers in Math and Analytics. Her unique Math background and Spanish language skills have equipped her with the necessary tools to communicate difficult concepts and

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1:22:10

#23 - From Civil Engineering to Computer Vision:...

Let"s Talk AI ·

2023/04/19

In this episode... In this episode, Piotr Skalski shares his insights on computer vision, machine learning, and deep learning. As a Medium blogger and creator of make sense.ai, an open-source online labeling tool and the onemetric library, he emphasizes the importance of open-source projects and monetizing them. Piotr talks about his journey from civil engineering to computer vision and machine learning and explores the world of open-source repositories. He shares his views on the evolving role of

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59:05

#22 - AI Solutions for Social Problem-Solving with...

Let"s Talk AI ·

2023/04/12

Episode Summary: In this Let's Talk AI episode, Lucía Tróchez Ardila shares her experience in directing regional and global programs through multi-sector collaborations and AI solutions for social problem-solving. She highlights the importance of stakeholder involvement and measuring actionable insights, while also discussing initiatives in healthcare and conservation. Lucía also offers career advice and discusses responsible technology use and ethical considerations in AI. Who is Lucía Tróchez

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57:04

#21 Freelancing in Tech: Kristen Kehrer's Journey to...

Let"s Talk AI ·

2023/03/29

In this episode we receive Kristen Kehrer, an analytics professional with over 12 years of experience. She shares insights on building a personal brand through content marketing and hosting cool data projects with Comet ML. Kristen also discusses her current role, fun data projects, tips on networking and learning in data science, and her transition to freelancing, along with tips on building a personal brand and finding balance. You will learn about engaging with your audience and seeking feedback

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1:14:37

#20 - AI Ethics and Governance for Latin America:...

Let"s Talk AI ·

2023/03/22

In this episode, Claudia May Del Pozo, the Executive Director of the Eon Resilience Lab at C Minds, discusses her work in AI ethics and governance for Latin America. She talks about the importance of transparency and explainability in AI systems, and highlights various initiatives she has led to harness new technologies for social impact. Claudia also shares her insights on the potential of augmented reality in education, as well as the challenges and priorities for AI regulation in the region

en

99 results

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