DiscoverLet's Talk AI
Let's Talk AI
Claim Ownership

Let's Talk AI

Author: Let's Talk AI

Subscribed: 7Played: 8
Share

Description

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! 
58 Episodes
Reverse
🎙️ Who is Apoorva Joshi?Apoorva Joshi is a Senior AI/ML Developer Advocate at MongoDB. With a Bachelor's and a Master's degree in Engineering, Apoorva has over 5 years of experience in applying ML to real-world problems in different industries including cybersecurity.💡 In this episode...... we discuss machine learning problems and approaches in cybersecurity, the field of data/ai, putting models in production, career tips and effective networking techniques for AI professionals. Apoorva also shares insights on job hunting strategies and the role of developer relations in AI.Apoorva Joshi: https://www.linkedin.com/in/apoorvajoshi95/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/
🎙️ Who is Houssem Chihoub?Houssem Chihoub is a Solutions Architect (Data and AI) at Databricks and have previously a Specialist Solutions Architect at AWS (Analytics). Houssem also have a Ph.D and had an early access to AWS around 2010 (fun fact hihi).💡 In this episode...... we discusses the benefits of cloud computing and working for tech pioneers in this field, as well as the differences between cloud computing and on-premise deployment, and new technologies in the market. Houssem shares insights on his career path and evolution with Hadoop, transitioning from academia to the business world, and the qualities of a great solutions architect. He emphasizes understanding business metrics and outcomes, identifying business pain points, and designing effective solution architectures, all while maintaining agility and an iterative mindset. He also discusses data engineering trends, Lake Houses, and Data Mesh, as well as exciting AI developments and the importance of balancing responsible use and innovation, and balancing regulation. Overall, Houssem is a valuable expert in the data and AI space, with a wealth of knowledge and experience to share.Houssem Chihoub: https://www.linkedin.com/in/houssem-chihoub/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/
🎙️ Who is Médéric Hurier?Médéric Hurier is a Lead MLOps Engineer with a Ph.D. in malware detection leveraging ML. His is also Freelance AI/ML/MLOps/LLMOps Engineer and Data Scientist. Médéric worked and collaborated with industry giants such as Google, BNP Paribas, ArcelorMittal, the European Commission, and Decathlon. He is also a dedicated MLOps Community Organizer and OpenClassrooms Mentor.💡 In this episode...... we discuss Médéric's experiences working with companies to develop AI/ML solutions at scale. Médéric discusses handling big data processing, building effective MLOps platforms, bridging academia and industry, and developing AI models for healthcare while addressing ethical considerations. He also shares best practices for building and choosing MLops platforms, building pricing models and fraud detection, and his views on continuous improvement and community building in MLOps. (a lot to learn from this episode ahah)Médéric Hurier: https://www.linkedin.com/in/fmind-dev/Médéric's Website: https://www.fmind.dev/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/
🎙️ Who is Christophe Blefari?Christophe Blefari is a software/data engineer with over 8 years of experience and expertise in Python, Django, and JS/React, as well as 5 years of data hacking experience in Pandas, Hadoop, SQL, cloud/on-premise architecture, Spark, Airflow, dbt, BigQuery, and Snowflake. He is an advocate for DataOps and team leadership and also specializes in Python and Airflow.💡 In this episode...... we discuss Christophe's journey. As a freelancer, he emphasizes the importance of teaching and shares tips on finding missions. As a freelancer, Blefari shares tips on how to find missions as a freelancer and emphasizes the importance of teaching in AI. He also discusses the ethical considerations and legal challenges in data engineering and provides insights into data regulation and Python preferences. Finally, he focuses on the importance of building strong teams and empowering them through management to successfully deliver projects. Overall, Blefari's experience and expertise provide valuable insight into the current landscape of data engineering.Christophe Blefari: https://www.linkedin.com/in/christopheblefari/Christophe's Youtube Channel: https://www.youtube.com/channel/UCwWEMzZbCZeYfRBV5JiCd9QThomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/
🎙️ Who is Leon Gordon?Leon is the Founder and CEO of Onyx Data, which provides end-to-end AI and data solutions, strategy and training for businesses looking to maximise their data insights. With a focus on helping clients unlock the true potential of their data, Onyx Data develops and executes high-performing data and analytics strategies through their Horizon packages, undertakes full-service data mesh deployments with their Vision solution, and runs Microsoft Fabric, Azure, Excel, and Power BI training and workshops.💡 In this episode......we discuss AI and data analytics for business success, carving a path in data analytics and AI, empowering businesses with data insights, and Onyx Data's personalized and customized AI solutions for successful client engagement. Leon also shares Onyx Data's methodology for breaking down barriers to data literacy, their adoption of decentralized data architecture (Data Mesh), and his involvement in Microsoft MVP and Forbes Tech Council. Additionally, we discuss about Onyx Data's Data DNA Dataset Challenge, personal branding in the data industry, and the importance of online contribution.⏳ Chapters00:00 - Introduction00:00:54 - AI and Data Analytics for Business Success00:02:03 - Leon Gordon's Journey00:08:47 - The Entrepreneurial Journey of Leon Gordon, Leader of Onyx Data00:12:11 - Data-Driven Solutions00:12:52 - Onyx Data's Bespoke Methodology for Successful Client Engagement00:19:12 - Breaking Down Barriers to Data Literacy00:26:55 - Decentralized Data Architecture and Real-Time Analytics00:32:40 - Successful Adoption of Decentralized Data Architecture00:34:08 - Decentralized Data Architecture with Data Mesh and Involvement in Microsoft MVP and Forbes Tech Council00:38:39 - Onyx Data's Data DNA Dataset Challenge00:44:34 - Data DNA Dataset Challenge and Personal Branding in the Data Industry00:48:38 - Personal Branding, Online Contribution, Data DNA Dataset Challenge and message from LeonLeon Gordon: https://www.linkedin.com/in/leon-gordon/Data DNA Challenge: https://onyxdata.co.uk/data-dna-dataset-challenge/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/
🎙️ Who is Anastasiia Prokaieva? Anastasiia Prokaieva is an AI and GeoSpatial Specialist at Databricks, enthusiastic and autonomous ex-Research Scientist who turned her interests towards Data Science and Big Data in recent years. With her background in Experimental Nuclear Physics, Plasma Physics, Theoretical Physics, and Applied Mathematics, as well as Renewable Energy Science and Technologies. 💡 In this episode... ...we discuss various topics ranging from her career path and experiences as an ML Engineer at Databricks, to soft skills development and handling big data in the academic AND private sector. She also delves into the importance of algorithm planning, collocating data, and utilizing custom libraries to achieve better ML results. Anastasiia also touches on the future of AI and ML jobs, the fundamentals and practical uses of AI tools, and lessons learned from her amazing journey.Anastasiia Prokaieva: https://www.linkedin.com/in/anastasiia-prokaieva/Thomas Bustos: https://www.linkedin.com/in/thomasbustos/Artistic Direction & Video: Maxence KerhoasFollow Let's Talk AI:✉️ Newsletter 👉 http://eepurl.com/ijZ8qz🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/🌐 Website 👉 https://lets-talk-ai.com/
🎙️ Who is Neelesh Salian? Neelesh is a Principal Software Engineer at Salesforce, with experience in software and data infrastructure engineering. He has a passion for building distributed systems and product engineering, with a focus on customer experience. 💡 In this episode... ...we discuss Neelesh's journey in data infrastructure and technical leadership, his perspective on observability and learning in data engineering, trends in big data tool evolution and management and the current status of software engineering. We also discuss the importance of communication, documentation, and effective code review, as well as building close customer relationships and learning from early feedback in software development. Neelesh also shares his advice for data engineers on learning, growth, and adaptability, and how to maintain a work-life balance in the field of data engineering and AI.Neelesh Salian: https://www.linkedin.com/in/neeleshsalian/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ Who is Simon Späti? Simon is a Data Engineer and Technical Writer with over 20 years of experience in the field. Simon is a master at productivity combining being an author and blogger interested in stoicism and minimalism. As I am writing those lines he just released a book called "Data Engineering Design Patterns" for free (link below). 💡 In this episode... ... we discuss Simon's journey of becoming an open source data engineer, the importance of design patterns and data architecture in modern data engineering, and the key components and tools for building the foundation of modern data engineering. We also discuss about the future evolution of data querying and storage optimization and shares tips for aspiring data engineers. Simon is also an author and blogger, and he discusses his writing process and how it helps him to organize and share his knowledge with others. He shares his tips for streamlining tasks and boosting productivity with tools like Obsidian and Vim Motions and discusses stoicism and minimalism. Simon Späti: https://www.linkedin.com/in/sspaeti/ Simon's NEW book DEDP (free): https://www.dedp.online/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ Who is Felix Laumann? Felix Laumann is the CEO & Co-Founder of NeuralSpace, an AI language company for local languages and dialects. He is committed to making AI technology linguistically inclusive, which inspired him to co-found NeuralSpace in 2019. Felix is an expert in Machine Learning and Artificial Intelligence, and his passion for language and culture has taken him on travels through Southern Asia, Africa, and the Middle East. 💡 In this episode... ... we discuss Neural Space journey using ML to develop text/voice AI for local languages and dialects to overcome barriers. Felix shares about the importance of diverse voices in text-to-speech/speech-to-text, improving customer experience through AI solutions, advancements and challenges in multi-model learning, and Open AI's leadership. Felix also discusses ethical standards, data privacy, and challenges in local language NLP, as well as ways to stay informed on NLP advancements. Felix Laumann: https://www.linkedin.com/in/felix-laumann/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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 passion for data, building successful courses, finance, her multiple data roles, career tips and much more! Megan Lieu: https://www.linkedin.com/in/andlukyane/ Thomas Bustos: https://www.linkedin.com/in/meganlieu/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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 public speaking and Marvelous MLOps. 💡 In this episode... ...we discuss the benefits of MLOps in streamlining processes and enhancing collaboration. Maria shares insights about the challenges of implementing MLOps practices and how to prioritize improvement efforts with actionable insights. We talk about the importance of continuous monitoring and observability in MLOps implementation, as well as the need for frameworks and standardization for efficient model deployment. We approach how MLOps is an organizational challenge and how Maria shares her knowledge through Marvelous MLOps. Additionally, Maria talks about the importance of leadership in AI development and shares career advice and networking tips for MLOps professionals. Maria Vechtomova: https://www.linkedin.com/in/maria-vechtomova/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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 his clients and crafts tailored roadmaps to build, optimize, and scale their data infrastructure and capabilities. Raphaël's expertise in data engineering, machine learning, and product development has contributed to over €2B in revenue through data-driven software products and successful growth and sale of a company for 140x its initial investment. He is passionate about empowering people and organizations to maximize the value of their data, leading AI innovation, and creating data-centric cultures. Raphaël currently spearheads a startup studio in Hong Kong and offers consulting services to clients globally. 💡 In this episode... ...Raphaël shares his journey as an entrepreneur, his expertise in data engineering, machine learning, and product development. He discusses the evolution and specialization of computer science, the importance of creativity and caretaking roles in the age of AI, and responsible use and ethical considerations in AI development. Raphaël also emphasizes the importance of improving knowledge in AI through daily research and public learning, and how AI can be a tool for solving challenges and creating opportunities. Furthermore, we discuss about building top-down data systems for a specific use case, selecting metrics for AI success and evaluating performance, leveraging AI to address pain points in industries, and enhancing human skills and collaborative intelligence with AI agents. Raphaël Mansuy: https://www.linkedin.com/in/raphaelmansuy/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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 tech and data. He express multiple times the importance of clear problem definition and bridging the communication gap between business and tech. Fabian shares tips and tricks for communicating data solutions to business people and prioritizing solutions over technical details. He also talks about his experiences solving data problems, including Kindle automating note summarization. Fabian discusses his understanding of cloud concepts and adding value with Google Cloud Platform. He shares insights on analyzing Spotify music data for a sub-niche genre and his LinkedIn journey. We also dive deeper into perseverance, consistent small steps, and effective learning strategies in starting and progressing through data science/data engineering. Fabian Werkmeister: https://www.linkedin.com/in/fabian-werkmeister/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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 deep learning and AI to develop applications that not only bring value to businesses but also improve the lives of users and clients. Andrey has implemented AI in various projects, including a successful medical chatbot. He believes in improving machine learning practice through sharing and participating in Kaggle competitions. 💡 In this episode... ... we discuss Andrey's journey into data science and success on Kaggle and the benefits of sharing and participating in ml competitions to improve. Andrey also explains his experience in developing a successful medical chatbot with named entity recognition and implementing AI in fraud detection. He emphasizes the significance of defining business metrics for data observability and the importance of soft skills and diverse experience in data science. Andrey Lukyanenko: https://www.linkedin.com/in/andlukyane/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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 Sciences (Pakistan), and Information Technology University (Pakistan). Jamshaid has authored multiple online video courses and books, including "Data Wrangling with Python 3.x," "An Introductory Guide to Data Science and Machine Learning," "Data Science Course for Kids with Python," and "PyTorch for Deep Learning." He has reviewed nine books with Packt before they were published. Jamshaid has also earned a silver medal in the SIIM-ISIC Melanoma Classification competition on Kaggle. 💡 In this episode... ...we discuss Jamshaid's journey to becoming a data scientist, building and creating successful courses as an instructor. He shares insights about multiple projects including autonomous shopping, and discusses the challenges and baseline solutions, as well as the terminologies and libraries for autonomous shopping. We also discuss about real-time data management at the Dusseldorf Expo, providing Kaggle competition insights, and his tips, resources, and key players in the data science and Kaggle competition industry. Jamshaid Sohail: https://www.linkedin.com/in/jamshaid-sohail-1a3905115/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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, and large-sized companies and experienced Multi-Billion Dollar Corporations, including N26 and Shopify. Agostino's experience in evaluating business requirements, running experiments, building data, and machine learning models, evaluating performance, and business impact, deploying the model, and setting up long-term monitoring have made him an expert in everything regarding the machine learning lifecycle. He has used various technologies, including Python & SQL, Git, BigQuery & Amazon Redshift, Apache Kafka, dbt, TensorFlow & PyTorch, to mention a few. Agostino is the author of  "The Playbook for Machine Learning Lifecycles," which aims to develop and deploy machine learning efficiently and robustly for companies that build user-facing models. 💡 In this episode... ...we discuss Agostino's experience and expertise on the entire machine learning lifecycle. He emphasizes the importance of ethical use of prompt engineering and understanding data science holistically. He also advises on advancing learning, streamlining ML model deployment, and transitioning from a data scientist to a machine learning engineer. Agostino stresses the importance of defining evaluation metrics, aligning business goals, and prioritizing AI projects for better adoption. He also emphasizes effective communication and collaboration strategies for AI teams and building reliable models. Also, we talked about the playbook for machine learning lifecycles that he wrote as well as his journey on sharing his learning with the community. Agostino Calamia: https://www.linkedin.com/in/agostino-calamia/ Agostino's website: https://www.agostinocalamia.com/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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. 💡 In this episode... ... we discuss tips on launching a successful career in data science and machine learning, securing job opportunities, interview strategies, communication skills, and the importance of technical review and passion. Additionally, Susan highlights the differences between data science and software engineering and emphasizes the value of public speaking and curiosity-driven learning. We also talk about Elasticsearch, its applications and latest improvements enhancing gen AI/vector databases. (and much more eheh) Susan Shu Chang: https://www.linkedin.com/in/susan-shu-chang/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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 learning and continuous development in the tech industry, ways to improve technical skills for job interviews, content creation around tech/data and the value of time and family. The episode also explores the evolution of content creation and personal branding in the AI generation, the role of DevRel in the tech industry and its evolution, and soft skills and global perspectives for career advancement. Additionally, Mehdi shares insights into managing risk, time, and personal life and tips for finding jobs in data and AI roles. Mehdi's LinkedIn: https://www.linkedin.com/in/tobias-zwingmann/ Medhi's Youtube Channel: https://www.youtube.com/@mehdio Website Data Creators Club: https://datacreators.club/ Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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 developed B2B digital products. He is the author of the O'Reilly book AI-Powered Business Intelligence (2022) and the weekly newsletter AI4BI.Rocks that reaches over 2,000 data professionals every week. Additionally, Tobias has helped over 1,000 students learn data science and analytics through online training, webinars, and mentoring for brands like O'Reilly Media, Data Science Dojo, Knowledgehut, and Springboard. Tobias believes in balancing innovation and efficiency in product development and believes in empowering business intelligence teams with AI skills to succeed in a rapidly-evolving industry. 💡 In this episode... ... we discus Tobias's vision for AI and the importance of recognizing the human element in data science. Tobias shares his transition into AI and approaches to AI implementation for businesses, including prototyping and failing fast, iterating quickly, and balancing innovation and efficiency. Tobias also talks about his work with Rapid AI, a boutique agency that implements profitable AI use cases in 8 weeks or less for small-medium businesses, and the potential of GPT models for personal development and creative tasks. Finally, Tobias emphasizes the importance of building and investing in projects for maximizing project success through sharing, sustainability, and investment. AND MUCH MORE!!! :) Tobias Zwingermann: https://www.linkedin.com/in/tobias-zwingmann/ Tobias's book: https://www.amazon.es/gp/product/1098111478/ref=dbs_a_def_rwt_hsch_vapi_taft_p1_i0 Rapyd AI: https://www.rapyd.ai/ Let's Talk AI Team Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
🎙️ 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 engineers. Tales emphasizes the importance of ensuring ML solutions deliver value and align with business metrics, and stresses feedback, monitoring, and effective communication. Tales also shares a use case of using BERT for psychology tests and discusses potential threats of AI. He highlights the importance of open source and community-driven software in the future. Tales Marra: https://www.linkedin.com/in/talesmarra/ MLOps101 ebook: https://talesmarra.gumroad.com/l/mlops101 Thomas Bustos: https://www.linkedin.com/in/thomasbustos/ Artistic Direction & Video: Maxence Kerhoas Follow Let's Talk AI: ✉️ Newsletter 👉 http://eepurl.com/ijZ8qz 🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/ 📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai 📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/ 🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/ 🌐 Website 👉 https://lets-talk-ai.com/
loading
Comments 
Download from Google Play
Download from App Store