Podcasts about principal data scientist

In this episode of Data in Biotech, host Ross Katz speaks with Patrick Torbey, CEO and Co-Founder of Neoplants, about using genetic engineering and microbiome innovation to tackle indoor air pollution. Patrick explains how Neoplants is turning everyday houseplants into powerful air purifiers using synthetic biology, offering insights into VOC degradation, enzyme pathways, and data-driven R&D. ​​What You'll Learn in This Episode: How genetically modified plants and microbiomes can reduce indoor air pollution by targeting VOCs like formaldehyde and benzeneThe scientific and engineering challenges of modifying indoor plants at the genomic levelWhy data-driven testing and simulation are critical to optimizing plant function and user impactThe role of synthetic biology in creating sustainable, scalable biotech productsPatrick's vision for solving climate challenges through engineered plant ecosystems ​​Meet Our Guest: Patrick Torbey is the CEO and Co-Founder of Neoplants, a Paris-based biotech startup engineering plants to purify indoor air. With a PhD in genetic editing and deep expertise in synthetic biology, Patrick leads Neoplants in building functional, aesthetically unique, and sustainable plant systems for the future. About The Host: Ross Katz is the Principal Data Scientist at CorrDyn. He brings decades of experience across biotech, energy, and non-profit sectors, with a focus on building smarter data systems, machine learning pipelines, and actionable insights for complex industries. Connect with Our Guest: Sponsor: CorrDyn, a data consultancyFind out more about NeoplantsConnect with Patrick Torbey on LinkedIn Connect with Us: Follow the podcast for more insightful discussions on the latest in biotech and data science.Subscribe and leave a review if you enjoyed this episode!

(05:46) Brought to you by Swimm.io.⁠⁠⁠⁠⁠⁠⁠⁠Start modernizing your mainframe faster with ⁠⁠Swimm⁠⁠.Understand the what, why, and how of your mainframe code.Use AI to uncover critical code insights for seamless migration, refactoring, or system replacement.Feeling uneasy about how your personal data is used, and wondering if companies are doing enough to protect it?In this episode, Katharine Jarmul, author of “Practical Data Privacy,” dives deep into one of the most critical and rapidly evolving topics today. Discover how data privacy impacts you as a user and what organizations should be doing to protect your information responsibly. Learn why simply blaming users isn't the answer and how we can build a more trustworthy technological future.Key topics discussed:Understanding Data Privacy: The meaning of data privacy and how it links to autonomy, trust, and choiceMore Than Just PII: The full scope of sensitive data needing protectionThe “Spying” Phone Feeling: How too much data collection can be used to infer sensitive detailsOrganizational Responsibility: Shifting data protection burden from users to companies building and deploying technologyPrivacy by Design: Embedding privacy into tech right from the startEssential Data Governance: Why knowing your data is key to privacyPractical Privacy Techniques: Pseudonymization, anonymization, data masking, and morePrivacy Enhancing Technologies: Exploring tools like differential privacy, federated learning, and encrypted computationAI & Privacy Challenges: Using AI responsibly with sensitive informationNavigating Privacy Laws: Understanding GDPR, data sovereignty, and global regulationsBuilding a Privacy Culture: Fostering a culture of learning, psychological safety, and risk awareness around privacyTune in to learn how we can build a safer, more responsible, and trustworthy digital future for everyone.  Timestamps:(01:20) Career Turning Points(02:14) Data Privacy Landscape(07:45) PII (Personally Identifiable Information)(11:33) Data Privacy Risk in Current Technologies(14:13) Data Utility vs Privacy(19:01) Privacy by Design(24:19) Data Governance(29:06) Retention Schedule(31:10) Data Privacy Practices & Techniques(34:09) Privacy Enhancing Technologies(38:52) Fostering Data Privacy Practice & Culture(47:05) The Legal Aspects of Data Privacy(51:10) AI and Data Privacy(56:08) 3 Tech Lead Wisdom_____Katharine Jarmul's BioKatharine Jarmul is a Principal Data Scientist at Thoughtworks Germany and author of the recent O'Reilly book Practical Data Privacy . Previously, she has held numerous roles at large companies and startups in the US and Germany, implementing data processing and machine learning systems with a focus on reliability, testability, privacy and security.She is a passionate and internationally recognized data scientist, programmer, and lecturer. Katharine is also a frequent keynote speaker at international software and AI conferences.Follow Katharine:LinkedIn – linkedin.com/in/katharinejarmulNewsletter – https://probablyprivate.comYouTube – @ProbablyPrivate

Join host Nick Schutt on Robots & Red Tape as he sits down with Christopher Teixeira, Principal Data Scientist at MITRE, to explore the critical role of data quality in powering AI-driven decisions for public health and human welfare.Dive into the complexities of building reliable AI models in high-stakes environments, where data integrity can mean the difference between success and unintended consequences. In this thoughtful conversation, discover:How MITRE leverages high-quality data to support agencies like the CDC and CMS, driving impactful public health outcomes.Real-world lessons from Chris's career, including how strategic data selection can optimize AI performance without sacrificing accuracy.The importance of diverse teams and continuous model evaluation to ensure ethical, effective AI applications.Strategies for balancing AI's potential with human oversight to address challenges in child welfare and beyond.Ideal for data scientists, policymakers, and tech enthusiasts eager to understand how AI and data can shape a better future when guided by rigor and responsibility.#AI #DataScience #PublicHealth #ChildWelfare #MITRE #RobotsAndRedTape #TechForGood #DataQuality #EthicalAI #GovTech #Innovation #TechnologyPodcast #ArtificialIntelligence #Podcast #GovernmentInnovation #AIEthics #DataDriven #PublicSector #NextGenAI

Neste episódio, batemos um papo sobre os impactos da inteligência artificial na cibersegurança: os riscos e oportunidades que a IA Generativa traz para o setor, a realidade por trás das promessas de soluções inteligentes, e as competências que vão ser indispensáveis para quem quer construir uma carreira sólida nessa área nos próximos anos.Recebemos Claudionor Coelho, referência global em AI e Cybersecurity, com passagem pelo World Economic Forum e atuação em posições executivas dentro e fora do Brasil. Claudionor trouxe uma visão prática e estratégica sobre como a IA está moldando o presente e o futuro da segurança da informação — e se realmente podemos confiar nela como aliada.Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas.Falamos no episódio:Claudionor Coelho —  Chief AI Officer at Zscaler | GenAI Leader and Strategic Executive, Investor | XooglerNossa Bancada — Data Hackers:Monique Femme  — Head of Community Management na Data HackersPaulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na HotmartReferências: 

Neste episódio, batemos um papo sobre os impactos da inteligência artificial nas carreiras em tecnologia: o aumento de 11,8% nos salários da área, como se destacar nas redes sociais, e o futuro dos empregos com automação e IA.Recebemos Lucas Carvalho (Tech & Innovation Editor no Linkedin), para trocar ideias sobre os principais movimentos do mercado, o papel das comunidades como o Data Hackers na aceleração de carreiras, e dicas práticas pra crescer com consistência nesse novo cenário.Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas.Falamos no episódio:Lucas Carvalho - Tech & Innovation Editor no Linkedinossa Bancada Data Hackers:Monique Femme — Head of Community Management na Data HackersPaulo Vasconcellos - Co-founder da Data Hackers e Principal Data Scientist na Hotmart.Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

Nossos convidados Bárbara Correia Dos Santos, Roberto Frossard e Cadu Mazzei compartilham como o Itaú avançou na utilização de IA ao longo dos últimos anos, e como a tecnologia tem contribuído para a construção de produtos e serviços hiperpersonalizados que atendem as reais necessidades dos clientes.No episódio, você confere como as disciplinas de Responsible IA e Emerging Tech, alinhadas à uma estratégia do negócio de evolução contínua em experiência, podem transformar a forma com que as pessoas interagem com serviços financeiros.Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas.Falamos no episódio:Carlos Eduardo Mazzei — Diretor de Tecnologia no Itaú e líder IABárbara Correia — Coordenadora de Responsable IA em TecnologiaRoberto Frossard — Líder de Tecnologias Emergentes no ItaúNossa Bancada Data Hackers:Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart.Monique Femme — Head of Community Management na Data HackersReferências:Inscreva-se na Semana de Tecnologia do Itaú: https://comunicatech.itau.com.br/semanadatecnologia2025_datahackersEpisódio Computação Quântica com Samurai (Itaú): Itaú Unibanco é a primeira empresa latino-americana a filiar-se a instituto de IA de Stanford: https://epocanegocios.globo.com/inteligencia-artificial/noticia/2025/02/itau-unibanco-e-a-primeira-empresa-latino-americana-a-filiar-se-a-instituto-de-ia-de-stanford.ghtmlItaú adquire participação na startup de inteligência artificial NeoSpace: https://epocanegocios.globo.com/empresas/startup/noticia/2025/01/itau-adquire-participacao-na-startup-de-inteligencia-artificial-neospace.ghtmlInteligência Itaú: banco lança nova experiência para clientes com IA generativa: https://www.itau.com.br/relacoes-com-investidores/noticias/inteligencia-itau-banco-lanca-nova-experiencia-para-clientes-com-ia-generativa/Itaú lançará Inteligência Itaú, IA generativa para atendimento aos clientes: https://economia.uol.com.br/noticias/estadao-conteudo/2024/11/22/itau-lancara-inteligencia-itau-ia-generativa-para-atendimento-aos-clientes.htm

In episode 27 of Recsperts, we meet Alessandro Piscopo, Lead Data Scientist in Personalization and Search, and Duncan Walker, Principal Data Scientist in the iPlayer Recommendations Team, both from the BBC. We discuss how the BBC personalizes recommendations across different offerings like news or video and audio content recommendations. We learn about the core values for the oldest public service media organization and the collaboration with editors in that process.The BBC once started with short video recommendations for BBC+ and nowadays has to consider recommendations across multiple domains: news, the iPlayer, BBC Sounds, BBC Bytesize, and more. With a reach of about 500M+ users who access services every week there is a huge potential. My guests discuss the challenges of aligning recommendations with public service values and the role of editors and constant exchange, alignment, and learning between the algorithmic and editorial lines of recommender systems.We also discuss the potential of cross-domain recommendations to leverage the content across different products as well as the organizational setup of teams working on recommender systems at the BBC. We learn about skews in the data due to the nature of an online service that also has a linear offering with TV and radio services.Towards the end, we also touch a bit on QUARE @ RecSys, which is the Workshop on Measuring the Quality of Explanations in Recommender Systems.Enjoy this enriching episode of RECSPERTS - Recommender Systems Experts.Don't forget to follow the podcast and please leave a review(00:00) - Introduction (03:10) - About Alessandro Piscopo and Duncan Walker (14:53) - RecSys Applications at the BBC (20:22) - Journey of Building Public Service Recommendations (28:02) - Role and Implementation of Public Service Values (36:52) - Algorithmic and Editorial Recommendation (01:01:54) - Further RecSys Challenges at the BBC (01:15:53) - Quare Workshop (01:23:27) - Closing Remarks Links from the Episode:Alessandro Piscopo on LinkedInDuncan Walker on LinkedInBBCQUARE @ RecSys 2023 (2nd Workshop on Measuring the Quality of Explanations in Recommender Systems)Papers:Clarke et al. (2023): Personalised Recommendations for the BBC iPlayer: Initial approach and current challengesBoididou et al. (2021): Building Public Service Recommenders: Logbook of a JourneyPiscopo et al. (2019): Data-Driven Recommendations in a Public Service OrganisationGeneral Links:Follow me on LinkedInFollow me on XSend me your comments, questions and suggestions to marcel.kurovski@gmail.comRecsperts Website

In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two data leaders from Nordstrom to explore how organizations can build a culture of technical excellence and measurement in data science. First, Gina Schmalzle, Principal Data Scientist at Nordstrom, shares her experience leading the Technical Excellence Initiative within the company's data science and analytics organization. She discusses the challenges of scaling data teams, the importance of setting standards for efficiency and collaboration, and how MLOps and feature stores can streamline data science workflows. Gina provides practical insights into creating high-quality, scalable data solutions that drive business impact. Next, Kevin Haynes, former Program Manager at Nordstrom, takes us into the world of "Eating Your Own Dog Food"—Building a Culture of Measurement for Data Products. He explores why internal metrics are essential for validating and improving data-driven solutions and how data teams can adopt a product mindset when developing internal tools. Kevin also shares his approach to fostering an engaging, high-impact team culture while ensuring that measurement and accountability remain at the core of data initiatives. Both guests offer interesting insights into building sustainable, high-performing data organizations in today's evolving AI and data landscape. Tune in to learn actionable strategies from two data leaders shaping the future of AI and analytics.

Mergulhamos no universo dos AI Agents e discutimos por que eles são considerados a próxima revolução em Data & AI. Nossos convidados exploram desde os conceitos básicos até aplicações reais, incluindo como empresas estão criando agentes de forma autônoma e o papel do Langflow — uma plataforma de AI Agents, fundada por um brasileiro, que já é destaque no cenário internacional — nesse ecossistema. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil - cconheçam Mikaeri Ohana - Head de Dados e IA na CI&T & Content Creator at Explica Mi , e o Gabriel Almeida - Founder & CTO @ Langflow. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências: Participe do Evento do ifood: https://lu.ma/si2mn42p?utm_campaign=o-novo-ataque-da-openai-na-automacao-do-trabalho&utm_medium=referral&utm_source=www.datahackers.news   Blog Data Hackers - Langflow: Conheça uma plataforma de AI Agents fundada por um Brasileiro que já é destaque no cenário internacional: https://www.datahackers.news/p/langflow-conheca-uma-plataforma-de-ai-agents-fundada-por-um-brasileiro Langflow: https://www.langflow.org/pt/ Site da DataStax: https://www.datastax.com/  Blog Data Hackers - CrewAI : https://www.datahackers.news/p/crew-ai-a-startup-brasileira-que-esta-dominando-o-mercado-de-ai-agents

Neste episódio especial, celebramos 100 edições do Podcast Data Hackers que já alcançou 1,1 milhões de plays. E nada melhor que, explora tudo que moldou o universo de dados, olhando para o futuro. Agora, chegou aquele momento do ano em que vamos tentar prever o que será tendência em Dados e AI para o ano de 2025! Será que AI generativas ainda estarão em alta? Será mesmo, que será o fim do SQL, hein? Vem com a gente pra esse papo com nossos Community Managers Mario Filho e Pietro Oliveira, e o nosso mestre dos magos e também Co-fundador Allan Senne. Lembrando que você pode encontrar todos os podcasts da família Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Falamos no episódio Nossos convidados: Mario Filho Pietro Oliveira Allan Senne. Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

Live from the QCon San Francisco Conference, we are talking with Susan Shu Chang, Principal Data Scientist at Elastic. Chang shares insights on bridging foundational machine learning with generative AI, emphasizing the importance of deploying ML models effectively, leveraging collaborative tools for prototyping, and aligning team roles with the ML life cycle to create scalable AI solutions. Read a transcript of this interview: https://bit.ly/4gzllet Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: QCon London (April 7-9, 2025) Discover new ideas and insights from senior practitioners driving change and innovation in software development. https://qconlondon.com/ InfoQ Dev Summit Boston (June 9-10, 2025) Actionable insights on today's critical dev priorities. devsummit.infoq.com/conference/boston2025 InfoQ Dev Summit Munich (Save the date - October 2025) QCon San Francisco 2025 (17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ InfoQ Dev Summit New York (Save the date - December 2025) The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - Twitter: twitter.com/InfoQ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq Write for InfoQ:Learn and share the changes and innovations in professional software development. - Join a community of ex perts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

There are some fascinating links between people's names and their political affiliations. Michael talks to Lenny Bronner, Principal Data Scientist for Elections at The Washington Post about his piece, "How Republican or Democratic is your name?" Original air date 18 September 2024.

Em uma conversa incrível com os especialistas da Bain & Company, uma das maiores consultorias estratégicas do mundo, exploramos o impacto da inteligência artificial generativa nos negócios e o futuro dessa tecnologia. Falamos sobre como a Gen AI tem transformado a forma como as empresas trabalham, abordando desde as estratégias até a implantação de projetos reais que estão remodelando omercados e entregando resultados tangíveis. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam conheçam: Felipe Fiamozzini (Sócio na Bain & Company); Lara Marinelli (Lead Machine Learning Engineer na Bain); e Carlos Azevedo (Sócio associado na Bain). Juntos, eles compartilham práticas recomendadas, stacks utilizadas e as tendências emergentes que prometem moldar o futuro da Gen AI nos próximos anos. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Falamos no episódio: Carlos Azevedo — Sócio associado na Bain Lara Marinelli — Lead Machine Learning Engineer na Bain Felipe Fiamozzini — Sócio na Bain & Company Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Referências: Preencha a pesquisa State of Data Brazil: https://www.stateofdata.com.br/podcast

Conversamos com o pessoal da Ambev Tech e exploramos como a Ambev, uma das gigantes do setor de bebidas, está revolucionando seus negócios por meio do uso estratégico de dados e inteligência artificial, destacando o impacto transformador dessas tecnologias em suas operações. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam quatro profissionais que estão na linha de frente dessa transformação: Felipe Contratres (Contra), Diretor de Dados & IA at Ambev Tech; Maria Clara Castro , Cientista de Dados Senior at Ambev Tech; Mario Vieira, Diretor de Dados & IA at Ambev Tech; e Leonardo Rigueto, Diretor de Dados & IA B2B at Ambev Tech; em uma conversa rica em insights, com exemplos práticos de como a inteligência artificial está remodelando operações comerciais e fortalecendo a estratégia de negócios da Ambev. Falamos no episódio Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Felipe Contratres (Contra) — Diretor de Dados & IA at Ambev Tech Maria Clara Castro — Cientista de Dados Senior at Ambev Tech Mario Vieira — Diretor de Dados & IA at Ambev Tech Leonardo Rigueto — Diretor de Dados & IA B2B at Ambev Tech Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências: Preencha a pesquisa State of Data Brazil: https://www.stateofdata.com.br/podcast A do Campo ao Copo: Como os Dados Estão Transformando a Produção de Cerveja na Ambev: https://www.youtube.com/watch?v=mvCBMR6huWs Vagas na Ambev: Engenharia de Dados: https://ambevtech.gupy.io/jobs/6522861?jobBoardSource=gupy_public_page Ciência de Dados: https://ambevtech.gupy.io/jobs/4578067?jobBoardSource=gupy_public_page

Recebemos dois líderes globais do BEES, a plataforma B2B da AB-InBev que tem transformado completamente a forma com que verejistas de todo o mundo fazem suas compras usando tecnologia. Juntos, nossos convidados compartilharam histórias marcantes de como construiram suas carreiras em dados, dando orientações para quem busca se destacar na área e oportunidades de como se manter à frente em um mercado de dados em constante evolução Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Bruno Vianna — Diretor Global de BEES Personalization; e Daniel Casares — Diretor Global de Data & Analytics no BEES ; para uma conversa inspiradora sobre tecnologia, dados e inovação no universo do BEES, a plataforma B2B da Ab-InBev que está revolucionando a indústria de bens de consumo. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas.  Falamos no episódio Bruno Vianna — Diretor Global de BEES Personalization;  Daniel Casares — Diretor Global de Data & Analytics no BEES. Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências: Preencha a pesquisa State of Data Brazil: https://www.stateofdata.com.br/ Link de Vagas BEES: https://job-boards.greenhouse.io/beespersonalization

Vamos explorar como o Grupo Boticário está desbravando o universo do self-service em BI e AI, democratizando o acesso aos dados e impulsionando a autonomia nas áreas de negócio.  Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Jéssika Ribeiro, Gerente Sênior de Produto de Dados no Grupo Boticário; Matheus Garibalde, Diretor de Produtos de Dados e IA; e Wagner Acorsi Aleixo, Gerente Sênior de Governança e Cultura de Dados no Grupo Boticário; juntos discutem as evoluções mais recentes, os desafios de implementar um sistema de self-service de dados com a evolução do uso de IA na empresa. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo Falamos no episódio ! Matheus Garibalde, Diretor de Produtos de Dados e IA; Jéssika Ribeiro, Gerente Sênior de Produto de Dados no Grupo Boticário;  Wagner Acorsi Aleixo, Gerente Sênior de Governança e Cultura de Dados no Grupo Boticário;  Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

Para desvendar os mistérios da Inteligência Artificial e seu impacto na criação de conteúdo, recebemos Leandro Conti e Ahirton Lopes para uma conversa imperdível sobre o uso da IA e os avanços relacionados com a Creator Economy.  Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, em parceria com a Compasso Coolab no Hacktown 2024, conheçam: Leandro Conti  — Vice presidente global de Assuntos Corporativos na Hotmart; e Ahirton Lopes — Head of Data na TIVIT. Eles também contam insights poderosos para turbinar sua produtividade e impulsionar seus conteúdos nessa era digital. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers

Today's guest is Eddie Kirkland, Principal Data Scientist at ICF. Founded in 1969, ICF is a global advisory and technology services provider that combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change and shape the future. Through deep domain expertise and cutting-edge digital services, the team at ICF are helping clients contribute to a healthier planet, create more resilient and equitable communities, and support and grow economic development. Eddie is currently a Principal Data Scientist with ICF, serving the Centers for Disease Control in the metro Atlanta area. A data science team leader with proven generative AI, machine learning and software development skills, he pairs data science and engineering ability with solution design and communication acumen gained in 20 years of organizational leadership. Eddie is recognized as a strategic leader and contributor on data science teams with a dynamic ability to translate complex concepts into relatable and actionable information. In this episode, Eddie talks about: His career journey from music to a passion for data science Combining subject matter and technological expertise for global betterment, Applying AI expertise ethically across diverse client projects, How Generative AI unlocks text data's potential, requiring ethical use, Piloting generative AI to transform data processing tasks, Creating safe spaces for AI experimentation and small models, How ICF provides a supportive culture and meaningful, impactful work

In this DSS Podcast we chat with Matthew Denesuk, SVP of Data Analytics & AI at Royal Caribbean Group. Matthew shares his insights on leveraging a Center of Excellence model to drive data-driven strategies across the organization. Tune in to discover how this approach can transform enterprise business processes using AI, analytics, and data science! We're also excited to welcome Jaime Russ, former Principal Data Scientist at Ryder System. Jaime brings a fresh perspective on data science, focusing on integrating advanced analytics and machine learning models into traditionally held concepts. Tune in as she explores the application of machine learning in corporate finance and its fascinating parallels to fleet management.

Mergulhamos no universo da Inteligência Artificial e da liderança de dados no Brasil. Para isso, convidamos os principais lideres do conselho do evento AI & Data Leaders — o maior encontro entre CDAOs, tomadores de decisão em AI e Data Analytics do Brasil-, para discutir os desafios, oportunidades dessa área em constante evolução e como as empresas estão utilizando a IA para impulsionar seus negócios. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Carina Ameijeiras — Executiva de Data & Analytics e atuante no conselho AI Data Leaders; Daniel Sérman — Diretor Executivo da TIM e membro do Conselho AI Data Leaders. [Embedar_Episódio] Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

Episode: 228 Released on August 26, 2024 Description: Dr. Andrew Wheeler joins Jason to discuss the journey that took him in and out of law enforcement analysis. Whether it is being an analyst, professor, consultant, or worker in the private sector, Andrew remained the same:  a data scientist. He also recently wrote a book entitled “Data Science for Crime Analysis with Python” to help analysts learn the basics of automating mundane tasks. Dr. Andrew Wheeler is the Principal Data Scientist at Gainwell Technology and founder of Crime De-Coder. To purchase Data Science for Crime Analysis with Python, go to https://crimede-coder.com/store. Use promo code LEAP for $10 off either the ebook or paperback copy. CHALLENGE: There are Easter eggs in one of the tables of the Excel chapter that Jason wrote for the IACA textbook. First-person to email us at leapodcasts@gmail.com about what the Easter eggs are will receive a $75 gift card from us. Happy hunting! *** Episode 4 of Cocktails & Crime Analysis - https://youtu.be/gcS9PJ_yrtQ  *** Name Drops: Caleb Meyers/Rob Warden/Nate Meehan (00:03:48), Matthew Douglas/Eric Piza (00:07:11), Renee Mitchell (00:39:31), Charlie Giberti (01:00:50) Public Service Announcements:  Python Book Promo Charlie Giberti (https://www.leapodcasts.com/e/atwje-charles-giberti-the-kingmaker/) Related Links: American Society of Evidence Based Policing, https://americansebp.org/ Redistricting Example, https://github.com/apwheele/PatrolRedistrict Social Network Group Intervention, https://crimede-coder.com/graphs/network Association(s) Mentioned: IACA Vendor(s) Mentioned:  Contact: https://www.linkedin.com/in/andrew-wheeler-46134849/; https://andrewpwheeler.com/  Transcript: https://mcdn.podbean.com/mf/web/r6r2bmvtv9a6qhvh/andrewwheeler_transcipts.pdf  Podcast Writer:  Podcast Researcher:  Theme Song: Written and Recorded by The Rough & Tumble. Find more of their music at www.theroughandtumble.com. Logo: Designed by Kyle McMullen. Please visit www.moderntype.com for any printable business forms and planners.  Podcast Email: leapodcasts@gmail.com   Podcast Webpage: www.leapodcasts.com   Podcast Twitter: @leapodcasts 00:00:17 – Introducing Andrew 00:07:53 – Analyst in Troy, NY 00:11:25 – ABS: Automation 00:18:16 – Professor Wheeler 00:28:40 – Private Sector 00:34:53 – Break:  Python Book Promo & Charlie Giberti 00:36:22 – Crime De-coder 00:40:28 – PD KPI's 01:00:44 – Training 01:09:24 – Personal Interests:  Fantasy Fiction 01:12:45 – Words to the World

Prepare-se para uma experiência inovadora e disruptiva ! No primeiro episódio do Podcast Data Hackers dublado por AI, vamos explorar os debates mais atuais e relevantes entre MLOps vs LLMOps. Este episódio marca uma nova era no nosso podcast, trazendo conteúdos em português com a precisão e naturalidade das vozes geradas por inteligência artificial. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Demetrios Brinkmann, Co-FounderCo-Founder MLOps Community , vai compartilhar suas experiências e insights sobre como o dia a dia nesse campo evoluiu ao longo do tempo. Discutimos as principais diferenças técnicas entre MLOps e LLMOps, e o que isso significa para os profissionais que atuam ou desejam atuar nessa área. Se você é apaixonado pela área de dados, quer entender as últimas tendências e se atualizar sobre o futuro do MLOps, não pode perder este episódio! Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências no Medium.

Vamos mergulhar no fascinante mundo da visão computacional com Carlos Melo, Computer Vision Engineer, que nos guiará desde os conceitos básicos até o funcionamento de modelos de visão computacional e onde eles estão presentes no nosso dia a dia. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Carlos Melo — Computer Vision Engineer, que também abordará temas polêmicos, como os preconceitos e vieses que podem ser propagados por essas tecnologias, e discutirá como a chegada dos Large Language Models (LLMs) pode impactar o futuro da visão computacional. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências: Acesse nosso Medium.

Em parceria com o Grupo Boticário, abordamos os desafios e iniciativas para construir um setor de dados mais inclusivo e diverso. Nos últimos anos, a pesquisa State of Data Brazil destacou as barreiras enfrentadas por profissionais da área de dados e dificuldades de progressão na carreira, para pessoas com deficiência.  Discutimos como empresas e líderes podem criar ambientes de trabalho que valorizem habilidades, adaptando processos seletivos e práticas para acolher profissionais com deficiência. Também exploraremos o papel da IA Generativa na melhoria da acessibilidade e como essas ferramentas estão sendo adotadas.  Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Gessica Pereira, deficiente visual total e Data Science Specialist; Maristela Salle — Gerente Sr. de Dados e AI; e Luíza Tocchetto — Especialista Diversidade Inclusão; ambas atuantes no Grupo Boticário. Para encerrar, nossa convidada Géssica compartilhará uma mensagem inspiradora para outros profissionais com deficiência que aspiram a construir uma carreira na área de dados, além de oferecer conselhos para quem deseja ser parte dessa transformação inclusiva.  Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Falamos no episódio Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Referências: Pesquisa State of Data Brazil: https://stateofdata.datahackers.com.br/ Be My Eyes : https://www.bemyeyes.com/language/portuguese-brazil Senior software engineer at Google: https://x.com/lucasradaelli Livro como ser mulher (Kate White): https://www.wook.pt/livro/como-ser-uma-mulher-com-garra-kate-white/22267713 Dicas Apple.com: https://dicasapple.com/

Para explorar as etapas de um processo seletivo na área de dados e como se preparar para uma boa entrevista, debatemos com as nossas convidadas as polêmicas associadas ao processo, como os desafios técnicos, o uso de plataformas de IA nas seleções, além de fornecer dicas e destacar as habilidades valorizadas pelos recrutadores e a frente técnica. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Renata Biaggi, Data Scientist & AI Solutions na Celfocus, e Luna Metz, Tech Recruiter Specialist.  Juntas, elas compartilham como se preparar para entrevistas e processos seletivos em dados, além de histórias inusitadas que marcaram suas jornadas. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Nossa Bancada Data Hackers: Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Monique Femme — Head of Community Management na Data Hackers Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências: Website: www.renatabiaggi.com Instagram: @prof.renatabiaggi: www.instagram.com/prof.renatabiaggi O método DEFINITIVO para passar em entrevistas de Data Science: https://www.youtube.com/watch?v=wF_zkr2vTz4&t=67s

Catherine Nelson is a freelance data scientist and writer. She is currently working on the forthcoming O'Reilly book "Software Engineering for Data Scientists”. Why All Data Scientists Should Learn Software Engineering Principles // MLOps podcast #245 with Catherine Nelson, a freelance Data Scientist. A big thank you to LatticeFlow AI for sponsoring this episode! LatticeFlow AI - https://latticeflow.ai/ // Abstract Data scientists have a reputation for writing bad code. This quote from Reddit sums up how many people feel: “It's honestly unbelievable and frustrating how many Data Scientists suck at writing good code.” But as data science projects grow, and because the job now often includes deploying ML models, it's increasingly important for DSs to learn fundamental SWE principles such as keeping your code modular, making sure your code is readable by other people and so on. The exploratory nature of DS projects means that you can't be sure where you will end up at the start of a project, but there's still a lot you can do to standardize the code you write. // Bio Catherine Nelson is the author of "Software Engineering for Data Scientists", a guide for data scientists who want to level up their coding skills, published by O'Reilly in May 2024. She is currently consulting for GenAI startups and providing mentorship and career coaching to data scientists. Previously, she was a Principal Data Scientist at SAP Concur. She has extensive experience deploying NLP models to production and evaluating ML systems, and she is also co-author of the book "Building Machine Learning Pipelines", published by O'Reilly in 2020. In her previous career as a geophysicist, she studied ancient volcanoes and explored for oil in Greenland. Catherine has a PhD in geophysics from Durham University and a Masters of Earth Sciences from Oxford University. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Software Engineering for Data Scientists book by Catherine Nelson: https://learning.oreilly.com/library/view/software-engineering-for/9781098136192/ https://www.amazon.com/Software-Engineering-Data-Scientists-Notebooks/dp/1098136209 --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Catherine on LinkedIn: https://www.linkedin.com/in/catherinenelson1/ Timestamps: [00:00] Catherine's preferred coffee [00:15] Takeaways [02:38] Meeting magic: Embracing serenity [06:23] The Software Engineering for Data Scientists book [10:41] Exploring ideas rapidly [12:52] Bridging Data Science gaps [16:17] Data poisoning concerns [18:26] Transitioning from a data scientist to a machine learning engineer [21:53] Rapid Prototyping vs Thorough Development [23:45] Data scientists take ownership [25:53] Data scientists' role balance [30:30] Understanding system design process [36:00] Data scientists and Kubernetes [41:33 - 43:03] LatticeFlow AI Ad [43:05] The Future of Data Science [45:09] Data scientists analyzing models [46:46] Tools gaps in prompt tracking [50:44] Learnings from writing the book

Neste episódio mergulhamos no mundo da jornada e engenharia de dados e analytics com os especialistas do Itaú. Conheça as estratégias de dados que moldam o futuro do banco, além do compartilhamento de como é trabalhar em uma empresa onde a utilização intensiva de dados é essencial para tomar as melhores decisões. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam as pessoas que desempenham um papel crucial na infraestrutura de dados do Itaú: Priscila Militão — Data Engineer no Itaú Unibanco Vinicius Rio — Analista de Dados no Itaú Unibanco Thiago Panini — Analytics Engineer no Itaú Unibanco Carlos Vaccáro — Gerente de Analytics Engineering no Itaú Unibanco Prepare-se para uma imersão no futuro dos dados no Itaú e descubra como essas mentes brilhantes estão moldando o panorama financeiro global com insights poderosos. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências: Página da Vaga | Batalha de Dados — Engenharia de Dados e Analytics :https://vemproitau.gupy.io/jobs/7312897 Episódio Computação Quantica Itaú: https://medium.com/data-hackers/o-que-%C3%A9-computa%C3%A7%C3%A3o-qu%C3%A2ntica-data-hackers-podcast-84-0389a3b299ab --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

Para explorar técnicas poderosas de como transformar conjuntos de dados complexos em histórias envolventes e insights assertivos, direto de Barcelona, convidamos Letícia Pozza —  que teve experiência na implementação de iniciativas de análise de dados no Brasil e em pesquisas apoiadas pela Fundação Bill & Melinda Gates; liderou equipes na Cappra Data Institute e, atualmente, é CEO e Co-fundadora da Odd Studio. Ela conta pra gente, sua experiência em adentrar em um mundo onde dados se convertem em narrativas para desvendar os mistérios da Visualização e Storytelling de Dados. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam: Letícia Pozza — CEO & Co-founder na Odd Studio, que tem como intuito trazer métodos de design para a ciência de dados e auxiliar empresas na concepção e criação de produtos baseados em dados. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Conheça nossa convidada: Letícia Pozza — CEO & Co-founder na Odd Studio. Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Acessar as referências deste episódio no Medium do Data Hackers. --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

Você já se perguntou como é trabalhar com dados em um cenário global? Pensando nisso, vamos explorar as incríveis jornadas de profissionais da Thoughtworks, que transformaram suas carreiras com projetos internacionais. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam: Carol Assis — Analista de Dados, e Viviana Tercerôs — Engenheira de Dados, ambas atuantes na Thoughtworks, que contam pra gente, curiosidades e habilidades necessárias para trabalhar com projetos em outros países. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Falamos no episódio Conheça nosso convidado: Carol Assis — Analista de Dados na Thoughtworks Viviana Tercerôs — Engenheira de Dados na Thoughtworks Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Referências: Vídeo da Carol Assis compartilhando sobre ter contato com outras culturas na Thoughtworks: https://youtu.be/F2ysUME96Y8?si=K-Z_Yr0K_hEtyu8d Série completa “Carreiras em Dados na Thoughtworks”: https://youtube.com/playlist?list=PL2Xtpd21mvkcTeHhsayg9IxKSnpScf9UQ&si=muC2dGGFGca8U6hP Saiba mais sobre a vida na Thoughtworks, como profissional de Dados e IA. Confira a série “Carreiras em Dados”: https://youtube.com/playlist?list=PL2Xtpd21mvkcTeHhsayg9IxKSnpScf9UQ&si=muC2dGGFGca8U6hP Se você tem curiosidade em saber como é trabalhar na Thoughtworks, essa newsletter foi feita para você! Assine o Access e tenha acesso a oportunidades de carreira e convites para eventos técnicos perto de você. Não fique de fora! https://www.thoughtworks.com/pt-br/careers/access --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

Do Beats ao Qubits, descubra como a Computação Quântica está redefinindo e moldando o futuro da computação. Junte-se a nós para desvendar os mistérios do universo quântico, e entender o que empresas como o Itaú, vem aplicando no seu dia a dia.  Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conversamos com a Samuraí Brito — Head of Quantum Technologies no Itaú, que tem artigos reconhecidos mundialmente sobre Computação Quântica, que revoluciona a forma como pensamos, e deu uma aula, sobre este universo paralelo. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Conheça nossa convidada: Samuraí Brito — Head of Quantum Technologies (Arq. IT Specialist II) at Itaú Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Referências: Baixe o relatório completo do State of Data Brazil 2023 : https://stateofdata.datahackers.com.br/ Inscreva-se na Newsletter Data Hackers: https://www.datahackers.news/ Medium da Samuraí: https://samuraigab.medium.com/ Link artigo Samuraí: https://arxiv.org/abs/1911.05445 Livro: Quantum Computing: An Applied Approach: https://a.co/d/5TlQXRT Livro: Quantum Computing for the Quantum Curious: https://a.co/d/8vKUXdP Rede Quântica China: https://phys.org/news/2021-01-world-quantum-network.html Vagas no Itaú: Link portal carreiras Itaú: https://carreiras.itau.com.br/tecnologia Vagas — Banco de talentos dados: https://carreiras.itau.com.br/vaga/sao-paulo/faca-sua-carreira-de-dados-no-itau/35299/52511644368 --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

This is a re-upload of the first episode with more post-processing done. In this first episode, we speak to Stephen Deutsch, the Department of Energy, Environment and Climate Action's Principal Data Scientist. At the time of recording, an article I had written on the grotesque overuse of the word 'leadership' had just hit the #1 spot on Hackernews, where Stephen was named as one of the the best actual leaders I've ever worked with. Spoiler: He hired smart people and let them lead themselves. I was so impressed that we added him as the final member to my consultancy even though we have an equal profit sharing model. We've put our money where our mouths are on this guy. In this episode we talk about helping your people live their best careers, treating people like people, corporate theater, the difference between management and leadership, how Stephen is a fraud that still doesn't know half of the nonsense phrases that the organization uses, and Saint Hicks. Audio quality will hopefully become better with each passing episode as I learn what the hell I'm doing, but feedback is welcome at nik.suresh@hermit-tech.com. Anything good in the audio is attributable to Dennis Crenshaw, and everything bad is my fault.

Hoje o papo é sobre análise de dados! Neste episódio, destrinchamos os pontos mais interessantes e surpreendentes do relatório State of Data Brazil 2023, feito pela comunidade Data Hackers junto com a Bain & Company e a Vector. Vem ver quem participou desse papo: Paulo Silveira, o host que gostou da história do caranguejo Paulo Vasconcellos, Principal Data Scientist na Hotmart e co-fundador da comunidade Data Hackers Gabriel Lages, Diretor de Data Analytics na Hotmart e co-fundador da comunidade Data Hackers Monique Femme, Head de Community Management da comunidade Data Hackers Allan Spadini, Instrutor de Dados na Alura Matheus Pavani, Coordenador do curso da Data Analytics da Pós Tech da FIAP Celso Poderoso, Coordenador dos MBAs da FIAP

// Abstract Diego, David, Ads, and Katharine, bring to light the risks, vulnerabilities, and evolving security landscape of machine learning as we venture into the AI-driven future. They underscore the importance of education in managing AI risks and the critical role privacy engineering plays in this narrative. They explore the legal and ethical implications of AI technologies, fostering a vital conversation on the balance between utility and privacy. // Bio Diego Oppenheimer - Moderator Diego Oppenheimer is a serial entrepreneur, product developer and investor with an extensive background in all things data. Currently, he is a Partner at Factory a venture fund specialized in AI investments as well as a co-founder at Guardrails AI. Previously he was an executive vice president at DataRobot, Founder and CEO at Algorithmia (acquired by DataRobot) and shipped some of Microsoft's most used data analysis products including Excel, PowerBI and SQL Server. Diego is active in AI/ML communities as a founding member and strategic advisor for the AI Infrastructure Alliance and MLops.Community and works with leaders to define AI industry standards and best practices. Diego holds a Bachelor's degree in Information Systems and a Masters degree in Business Intelligence and Data Analytics from Carnegie Mellon University. Ads Dawson A mainly self-taught, driven, and motivated proficient application, network infrastructure & cyber security professional holding over eleven years experience from start-up to large-size enterprises leading the incident response process and specializing in extensive LLM/AI Security, Web Application Security and DevSecOps protecting REST API endpoints, large-scale microservice architectures in hybrid cloud environments, application source code as well as EDR, threat hunting, reverse engineering, and forensics. Ads have a passion for all things blue and red teams, be that offensive & API security, automation of detection & remediation (SOAR), or deep packet inspection for example. Ads is also a networking veteran and love a good PCAP to delve into. One of my favorite things at Defcon is hunting for PWNs at the "Wall of Sheep" village and inspecting malicious payloads and binaries. Katharine Jarmul Katharine Jarmul is a privacy activist and data scientist whose work and research focuses on privacy and security in data science workflows. She recently authored Practical Data Privacy for O'Reilly and works as a Principal Data Scientist at Thoughtworks. Katharine has held numerous leadership and independent contributor roles at large companies and startups in the US and Germany -- implementing data processing and machine learning systems with privacy and security built in and developing forward-looking, privacy-first data strategy. David Haber David has started and grown several technology companies. He developed safety-critical AI in the healthcare space and for autonomous flight. David has educated thousands of people and Fortune 500 companies on the topic of AI. Outside of work, he loves to spend time with his family and enjoys training for the next Ironman. A big thank you to our Premium Sponsors,  @Databricks  and  @baseten  for their generous support! // Sign up for our Newsletter to never miss an event: https://mlops.community/join/ // Watch all the conference videos here: https://home.mlops.community/home/collections // Check out the MLOps Community podcast: https://open.spotify.com/show/7wZygk3mUUqBaRbBGB1lgh?si=242d3b9675654a69 // Read our blog: mlops.community/blog // Join an in-person local meetup near you: https://mlops.community/meetups/ // MLOps Swag/Merch: https://mlops-community.myshopify.com/ // Follow us on Twitter: https://twitter.com/mlopscommunity //Follow us on Linkedin: https://www.linkedin.com/company/mlopscommunity/

Estamos felizes em compartilhar, nossa mais nova parceria com o Itaú no ano de 2024 !! E em colaboração, apresentamos o nosso episódio "Especial: Mulheres na Liderança & Carreira em Dados".  Este episódio nos permite explorar profundamente tópicos como Transição de Carreira, Visibilidade das Mulheres na Liderança, Desafios Profissionais, Maternidade e Carreira. Ao lado de três mulheres que lideram hoje, áreas e temas técnicos como Computação Quântica, Ciência de Dados e Governança. É um marco emocionante para nós, e estamos ansiosas para você se juntar nesta jornada de descoberta e aprendizado, com essas mulheres incríveis !! Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam as lideranças que estão movendo a representatividade de mais mulheres nos times de dados  —  hoje mais de 50% da pessoas do time de dados no Itaú, são mulheres -, são elas : Samuraí Brito — Head of Quantum Technologies, tem vários artigos publicados sobre Computação Quântica; Priscila Ferreira: Superintendente de Governança e Privacidade de Dados; e Veronica Neves — Lead de Data de Science; ambas lideram essas frente no Itaú. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Conheça nosso convidado: Priscila Ferreira: Superintendente de Governança de Dados; Samuraí Brito — Head of Quantum Technologies (Arq. IT Specialist II) at Itaú; Veronica Neves — Lead de Ciência de Dados. Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Falamos no episódio: Baixe o relatório completo do State of Data Brazil 2023 : https://stateofdata.datahackers.com.br/ Inscreva-se na Newsletter Data Hackers:https://www.datahackers.news/ Link artigo Samuraí: https://arxiv.org/abs/1911.05445 Link portal carreiras Itaú: https://carreiras.itau.com.br/tecnologia Vagas — Banco de talentos dados: https://carreiras.itau.com.br/vaga/sao-paulo/faca-sua-carreira-de-dados-no-itau/35299/52511644368 --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

This episode of Association Tech Insider focuses on "AI Empowered: Revolutionizing Event Data with Artificial Intelligence." We dive into the transformative impact that artificial intelligence is having on the event industry. Tune in as we explore the current state of AI in events, focusing on its role in data cleaning, enrichment, and monitoring. We'll discuss the challenges and opportunities in data collection, the importance of handling missing data, and how enhanced data management sets the stage for advanced personalization and segmentation. Discover how AI is not just an analytical tool but a partner that fills gaps, identifies trends, and offers tailored recommendations to event organizers. We'll also tackle how AI technology reshapes engagement tracking, providing deep insights into attendee behaviors and content interactions. By understanding these dynamics, AI empowers event planners to act as informed strategists, backed by a virtual 24/7 data analyst that minimizes their cognitive load and maximizes the impact of their decisions. Don't miss out on this insightful episode that opens the door to the future of event planning with AI!   Hosted by: Vinnu Deshetty, CEO/Founder of EVA Event Tech Hub and Instructor for PCMA's Event Leadership Institute https://www.linkedin.com/in/vinnudeshetty/   A special thank you to our guest panelists: Heather Harris, Principal Data Scientist, Herkimer Consulting, https://www.linkedin.com/in/heatherdawnharris/   Joe Colangelo, CEO, Bear Analytics  https://www.linkedin.com/in/josephcolangelo/ This year, the ASAE Technology Professional Advisory Council (TPAC) will host a series of podcasts on data. This podcast features a conversation between three TPAC members about how an association becomes data-driven, what will be important for its success, and some examples of the benefits of diving into data! Make sure to follow TPAC on LinkedIn: https://www.linkedin.com/company/asae-tpac/ Artificial Intelligence (AI) was used in the editing of the podcast to remove "Umm"s and "Ahh"s, but all content was created by people!

Se você quer descobrir, como a Inteligência Artificial está redefinindo as regras do jogo no mercado de trabalho, e até mesmo, na maneira como trabalhamos e colaboramos… Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, chamamos o Yara Mascarenhas — CEO do TDC, e Ahirton Lopes — Head of Data TIVIT, para entender, se existe mesmo, uma visão única sobre as oportunidades e desafios que a IA apresenta para todos nós no mercado de trabalho. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Conheça nosso convidado: Yara Mascarenhas — CEO do TDC Ahirton Lopes — Head of Data TIVIT Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Falamos no episódio: Baixe o relatório completo do State of Data Brazil 2023 : https://stateofdata.datahackers.com.br/ Inscreva-se na Newsletter Data Hackers:  TDC 2024 SUMMIT SÃO PAULO (AI): https://thedevconf.com/tdc/2024/summit-sao-paulo/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

The ethical question of AI has been at the forefront of its development. Today, there is a global rush to establish legal and ethical frameworks around AI, such as the European Parliament AI Act, which aim to legislate around concerns surrounding potential bias from bad data sets or algorithms, privacy concerns, and non-discrimination.Our guest this week is Principal Data Scientist and AI Ambassador at HPE, Iveta Lohovska. We'll be discussing the practicality of placing guardrails around AI, as well as the ethical approach that needs to be taken for training models - and whether the sheer scale of its growth is leaving us vulnerable as a society.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMAAbout the expert: https://www.linkedin.com/in/iveta-lohovska-40210362/?originalSubdomain=atSources and statistics cited in this episode:2024 Global Forum on the Ethics of AI - https://www.unesco.org/en/forum-ethics-aiEuropean Parliament AI Act - https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligenceThe Outer Space Treaty - https://www.unoosa.org/oosa/en/ourwork/spacelaw/treaties/introouterspacetreaty.htmlInternational Astronomical Union - https://www.iau.org/Dolly the Sheep cloning - https://www.nms.ac.uk/explore-our-collections/stories/natural-sciences/dolly-the-sheep/

The ethical question of AI has been at the forefront of its development. Today, there is a global rush to establish legal and ethical frameworks around AI, such as the European Parliament AI Act, which aim to legislate around concerns surrounding potential bias from bad data sets or algorithms, privacy concerns, and non-discrimination.Our guest this week is Principal Data Scientist and AI Ambassador at HPE, Iveta Lohovska. We'll be discussing the practicality of placing guardrails around AI, as well as the ethical approach that needs to be taken for training models - and whether the sheer scale of its growth is leaving us vulnerable as a society.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMAAbout the expert: https://www.linkedin.com/in/iveta-lohovska-40210362/?originalSubdomain=atSources and statistics cited in this episode:2024 Global Forum on the Ethics of AI - https://www.unesco.org/en/forum-ethics-aiEuropean Parliament AI Act - https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligenceThe Outer Space Treaty - https://www.unoosa.org/oosa/en/ourwork/spacelaw/treaties/introouterspacetreaty.htmlInternational Astronomical Union - https://www.iau.org/Dolly the Sheep cloning - https://www.nms.ac.uk/explore-our-collections/stories/natural-sciences/dolly-the-sheep/

On today's episode I speak with Dr. Leigh Goetschius, Data Scientist Advanced, Dr. Fei Han, Principal Data Scientist and Affiliate Assistant Professor in the UMBC Department of Computer Science and Electrical Engineering, and Dr. Morgan Henderson, Principal Data Scientist and Affiliate Assistant Professor in the UMBC Department of Economics. Together, these researchers form the UMBC Hilltop Institute Analytics Research team. Our conversation focuses on their work in creating predictive models in the field of healthcare. On today's campus connection, our Production Assistant Jean Kim brings us a project by Dr. Zoe McLaren, whose article is titled "Data Driven COVID-19 Policy is More than a One-Size Fits All Approach." Check out the following links for more information on UMBC, CS3, and our host: The UMBC Center for the Social Sciences Scholarship The University of Maryland, Baltimore County Ian G. Anson, Ph.D. Retrieving the Social Sciences is a production of the UMBC Center for Social Science Scholarship.  Our podcast host is Dr. Ian Anson, our director is Dr. Christine Mallinson, our associate director is Dr. Felipe Filomeno and our production intern is Jean Kim. Our theme music was composed and recorded by D'Juan Moreland.  Special thanks to Amy Barnes and Myriam Ralston for production assistance.  Make sure to follow us on Twitter, Facebook, Instagram, and YouTube, where you can find full video recordings of recent UMBC events.

In this episode of the AI For All Podcast, Heather Harris, Principal Data Scientist at Herkimer Consulting, joins Ryan Chacon and Neil Sahota to discuss how businesses can better navigate the field of AI adoption. Harris emphasizes the significance of starting with a clear understanding of the organization's mission and the desired outcomes. She advocates for adopting AI as a support role rather than a central focus. Challenges such as data integrity, identifying the true AI solutions from the fakes, and obtaining the right data are discussed. Harris also foresees the integration of AI becoming seamless and covert in the next five to ten years. However, she urges businesses to be proactive rather than reactive to the rapidly changing pace of AI technology. Heather Harris has a PhD in statistics related to cognitive processes, and she has worked as a consulting data scientist and statistician for 6 years. Her approach to consulting is to guide clients through setting up complex processes and AI solutions while keeping data governance, data integrity, and diversity/data representativeness front-of-mind. As a consultant, she's led a multitude of diverse projects including predicting audiences and micro-target marketing for the first movie with a theatrical release following the pandemic, predicting and segmenting viewers for several television shows and networks, developing scoring algorithms for EdTech companies, and working with clients from several substantive areas to architect data ecosystems for AI solutions and advanced analytics. Herkimer Consulting is a small AI and data science consulting firm focused on holistic data strategy, AI/technology adoption, complex data integration, and advanced predictive analytics. Discover more about AI at https://ai-forall.com Connect with Heather: https://www.linkedin.com/in/heatherdawnharris/ (00:00) Intro (00:30) Heather Harris and Herkimer Consulting (01:58) Understanding data integrity in AI (04:07) What's the role of synthetic data? (06:40) Quality assurance standards in AI data (09:14) The importance of AI strategy (10:23) Navigating AI solutions and adoption (21:13) Challenges in AI adoption (22:56) Advice for companies starting their AI journey (24:37) Predictions for AI in 2024 (26:51) Learn more and follow up SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

Pelo quarto ano consecutivo, ainda acreditamos no IPO da Databricks e o Paulo Vasconcellos, já apostou todas as suas forças na venda da Stability AI, em 2024. E se você ouviu o episódio de Tendências, que gravamos no ano passado, acertamos quase todas previsões !! Agora, chegou aquele momento do ano em que vamos tentar prever o que será tendência em Dados e AI para o ano de 2024! Vem com a gente pra esse papo com nossos community managers: Marlesson Santana , Pietro Oliveira e a bancada Data Hackers. Façam suas apostas !!  Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! [EMBEDAR_EPISODIO] Conheça nosso convidado: Pietro Oliveira Marlesson Santana Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Falamos no episódioLinks de referências: Ouça o episódio de Tendências de 2023: https://medium.com/data-hackers/as-tend%C3%AAncias-para-dados-e-ai-em-2023-data-hackers-podcast-62-2dff6fdddb6e O Brasileiro com a IA mais baixada do Mundo — Data Hackers Podcast 70:https://medium.com/data-hackers/o-brasileiro-com-a-ia-mais-baixada-do-mundo-data-hackers-podcast-70-e13a8c66fbcd Matéria:É verdade? Museu do Louvre pega fogo e vídeo viraliza": https://www.folhavitoria.com.br/geral/noticia/01/2024/e-verdade-museu-do-louvre-pega-fogo-e-video-viraliza-assustador-viral Pika (AI Video): https://pika.art/login Eleições na Argentina: IA vira arma de campanha: https://olhardigital.com.br/2023/11/17/pro/ia-vira-arma-de-campanha-durante-eleicoes-na-argentina/ Cloud da Magalu: https://medium.com/data-hackers/magalu-cloud-por-dentro-da-primeira-cloud-brasileira-em-hiperescala-data-hackers-epis%C3%B3dio-79-3ca324ddf66e --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

Você já deve ter ouvido, sobre o lançamento da nova Cloud Publica e Brasileira, que movimentou muitos rumores no mercado de tecnologia. E atendo a pedidos da comunidade, agora você tem a chance de conhecer as estratégias, e um pouco mais, sobre a Magalu Cloud. Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, chamamos o Vaner Vendramini — Field CTO na Magalu Cloud, para desmitificar tudo que está por de trás deste lançamento da primeira Cloud Brasileira em Hiperscala, da Magalu.  Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Caso queira, você também pode ouvir o episódio aqui no post mesmo! Conheça nosso convidado: Vaner Vendramini — Field CTO na Magalu Cloud Nossa Bancada Data Hackers: Monique Femme — Head of Community Management na Data Hackers Allan Senne — Co-founder da Data Hackers e Co-Founder & CTO at Dadosfera. Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart. Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart. Falamos no episódioLinks de referências: Sobre o evento de lançamento da Magalu Cloud: https://www.magazineluiza.com.br/blog-da-lu/c/dl/dldc/magalu-cloud-a-nuvem-do-magazine-luiza/12434/ Cloud Alema citada pelo Vaner: https://www.stackit.de/en/ Estudo da McKinsey sobre o mercado de cloud Computing em 2030: https://www.mckinsey.com/br/our-insights/all-insights/computacao-em-nuvem-2030 Progressão do market sharing de Cloud, de 2018 até 2021, da digital cloud training: https://digitalcloud.training/comparison-of-aws-vs-azure-vs-google/ Página de parceiros da Magalu Cloud: https://magalu.cloud/solucoes/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/datahackers/message

Concluding our four-part series on Artificial Intelligence (AI), David McLaughlin, Founder of QuantaVerse and the current EVP of Technology Sales at AML RightSource, alongside our brilliant Principal Data Scientist, Leandro Loss, discuss how AI solutions are crafted and how their extraordinary capabilities are reshaping compliance; now, and in the future. Tune in to find out more about how this powerful technology can be our ally in the battle against financial crime.

Get ready to geek out over data science and talent intelligence in this meaty new episode of the Talent Intelligence Collective podcast! Regular hosts Alan Walker, Alison Etridge and Toby Culshaw engage in an illuminating discussion with Ranjan Dhar, Principal Data Scientist at Stratagem. Kicking things off, Toby provides a roundup of the latest TI news, spanning decentralised TI capabilities, major plays by Microsoft, SAP and others in skills intelligence platforms, early signs of cooling demand despite skill shortages, and more trends shaping the external talent landscape. Shifting focus to our interview, we unravel Ranjan's fascinating journey into talent data science, stemming from his early days helping to scale a pioneering TI supplier from 20 to 200+ employees after its acquisition by Gartner. He recounts the challenges of working with complex, messy talent data sets, and explains typical day-to-day work ranging from data exploration to advanced machine learning modelling. We explore a number of applied examples where Ranjan has leveraged natural language processing and other techniques to uncover insights from job postings, profiles, and more talent data sources. He emphasises how properly framing the business problem is vital before applying advanced analytics, so the techniques match the use case rather than being solutions seeking problems. Ranjan shares thoughtful advice on working with data scientists as a business leader, highlighting the need for trust, data access, and taking an exploratory approach to the art of the possible. We discuss the pros and cons of centralised versus decentralised models for embedding TI and analytics capabilities through organisations. With his extensive perspective spanning both the supplier side and in-house talent intelligence, Ranjan elucidates the huge potential impact when talent leaders effectively collaborate with data scientists. He demystifies how advanced analytics can transform messy, unstructured hiring data into actionable skills-based insights that drive better workforce decisions. If you're interested in the intersection of data science and talent intelligence, don't miss this engaging insider view into the art of the possible! As always, stay intelligent folks! Don't forget to say hi to our wonderful sponsors → Stratigens!

Step into the exciting realm of cutting-edge AI technology! Join our host, Rachel Dettmer, as she welcomes back our esteemed Principal Data Scientist, Leandro Loss, for an engaging discussion on Large Language Models. Together, they delve into thought-provoking questions: How will these models revolutionize anti-money laundering and financial crime compliance? Are human investigators at risk of being superseded by these models? Why are regulators apprehensive of their inclusion into compliance programs? Tune in as they discuss the intersection of technology and compliance in an evolving financial crime landscape!

In this exclusive live talk, Luiza Jarovsky discusses Katharine Jarmul's new book "Practical Data Privacy" and topics in the context of data protection, privacy engineering, and AI, such as:PII, pseudonymization & anonymizationPrivacy attacks - what are they?Applying PETs in the context of AI applicationsFederated learningand moreKatharine is a Principal Data Scientist at Thoughtworks and the author of the book "Practical Data Privacy." She is a passionate and internationally recognized data scientist, programmer, and lecturer. I am so happy to host this talk with her and spread her knowledge and enthusiasm on privacy issues even more.Luiza Jarovsky is a lawyer, CEO of Implement Privacy, and author of Luiza's Newsletter.Read more about Luiza's work at https://www.luizajarovsky.comSubscribe to Luiza's Newsletter: https://www.luizasnewsletter.comCheck out the courses and training programs Luiza is leading at https://www.implementprivacy.comFollow Luiza on social media:LinkedIn: https://www.linkedin.com/in/luizajarovskyTwitter: https://www.twitter.com/luizaJarovskyYouTube: https://youtube.com/@luizajarovsky

In this episode, Leandro Loss, our Principal Data Scientist, and Kevin Lee, our Director Financial Crime Technology, delve into the trustworthiness of AI, why it's often viewed as an enigmatic 'black box', and why conventional 'white' models are falling short in the battle against financial crime.

Learn the fundamentals with our expert and demystify the world of Artificial Intelligence! In this episode, Leandro Loss, our esteemed Principal Data Scientist, unravels the core concepts of Data Science, Artificial Intelligence, Machine Learning, and Deep Learning. Prepare to delve into the realm of AI as he shares his vast knowledge and discusses the urgent need for data-driven solutions to combat financial crime in today's fast-paced and rapidly changing world.

GenAI continues to dominate the conversation and more use cases emerge everyday.  AI itself though, is not new, companies have been exploiting it for a number of years, building it into their product sets and understanding how their customers get value from it. In a special live episode from Edinburgh in September 2023, Dave and Rob talk to a panel led by Ahmed Salhin, Principal Data Scientist at Sage and including Fiona Sweeney, Partnerships Director, Women in Data, Theo Priestly, Futurist & Robert Engels, CTO AI I&D Capgemini about Sage's long term use of AI in their products and how it differentiates them.  We then speak to the panel about the risk of cognitive overload as organisations potentially take on another wave of related transformation and the ever critical data integrity.TLDR:00:50 What Dave and Rob did in Edinburgh03:56 Cloud conversation with Ahmed Salhin, Fiona Sweeny, Theo Priestly & Robert Engels 23:32 Outro GuestsAhmed Salhin:  https://www.linkedin.com/in/ahmedsalhin/ Fiona Sweeney:  https://www.linkedin.com/in/fionasweeney1/ Theo Priestly:  https://www.linkedin.com/in/theopriestley/ Robert Engels:  https://www.linkedin.com/in/robertengels/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Sjoukje Zaal: https://www.linkedin.com/in/sjoukjezaal/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel Van Der Burg: https://www.linkedin.com/in/marcel-van-der-burg-99a655/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/

On today's show, Jeff chats with Max Cherney and Nico Coallier. Max is the Chief Operating Officer and Nico the Principal Data Scientist of Nectar Technologies. Max joined us back in Season 4, along with Washington State University's Dr. Rae Olson.  The combination of Nectar's products: a NFC/QR tag, portable app and a management portal helps the owner manage their operation with a single comprehensive view. Max and Nico join us from their Montreal base, but they spend most of the season across North America working with commercial beekeepers perfecting their precision beekeeping solution. Listen today and learn how they're helping beekeepers improve honey bee colony survival, help pollination and leverage pollinator health data to help all growers and the food industry. We hope you enjoy the episode. Leave comments and questions in the Comments Section of the episode's website. Links and websites mentioned in this podcast:  Nectar Technologies: https://www.nectar.buzz/ Beekeeping Today Podcast on YouTube: https://www.youtube.com/@beekeepingtodaypodcast Honey Bee Obscura: https://www.honeybeeobscura.com ______________ Betterbee is the presensting sponsor of Beekeeping Today Podcast. Betterbee's mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com This episode is brought to you by Global Patties! Global offers a variety of standard and custom patties. Visit them today at http://globalpatties.com and let them know you appreciate them sponsoring this episode!  Thanks to Strong Microbials for their support of Beekeeping Today Podcast. Find out more about heir line of probiotics in our Season 3, Episode 12 episode and from their website: https://www.strongmicrobials.com Thanks for Northern Bee Books for their support. Northern Bee Books is the publisher of bee books available worldwide from their website or from Amazon and bookstores everywhere. They are also the publishers of The Beekeepers Quarterly and Natural Bee Husbandry. _______________ We hope you enjoy this podcast and welcome your questions and comments in the show notes of this episode or: questions@beekeepingtodaypodcast.com Thank you for listening!  Podcast music: Be Strong by Young Presidents; Epilogue by Musicalman; Walking in Paris by Studio Le Bus; A Fresh New Start by Pete Morse; Wedding Day by Boomer; Original guitar background instrumental by Jeff Ott Beekeeping Today Podcast is an audio production of Growing Planet Media, LLC Copyright © 2023 by Growing Planet Media, LLC