On this inspirational episode of the Data Unchained podcast, Harriet Coverston, CTO and Co-Founder at Versity Software, joins us to talk about her career in the technology industry. With also talk with Harriet about how women play a huge part in the technology space, leadership insights, and how she became a Superwoman of Flash! All this and more on today's episode of Data Unchained!

data #podcast #ai #dataexploration #datascience #technology #film #datastorage #storage #storagesolutions #podcast #podcasts #leadership #SWFMS #superwoman

Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported License https://creativecommons.org/licenses/by/3.0/deed.en_US Hosted on Acast. See acast.com/privacy for more information.

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.

Full Stack FastAPI, React, and MongoDB guides you step-by-step through creating web applications using the FARM stack. This hands-on resource teaches you how to integrate FastAPI, a modern Python framework, React for front-end development, and MongoDB for data storage to build and deploy powerful, scalable web applications. What this Book will help me do Master the essentials of MongoDB, including creating and managing document-based databases. Gain proficiency in building APIs using FastAPI and Python for robust backend systems. Develop dynamic frontends using React, integrating seamlessly with a FastAPI backend. Securely authenticate and authorize users using JSON Web Tokens in your applications. Explore advanced features like integrating AI models and building with Next.js for production-ready development. Author(s) Marko Aleksendrić, Shrey Batra, Rachelle Palmer, and Shubham Ranjan combine their expertise in web development and software engineering in this book. Together, they bring years of professional experience and a passion for teaching developers to create modern web applications effectively using cutting-edge tools. Who is it for? Intermediate web developers who possess foundational JavaScript and Python skills are the ideal audience for this book. If you want to advance your skills by mastering modern web application development with the FARM stack, this book will guide you comprehensively. With practical, real-world examples, it is designed for developers aiming to build production-grade applications.

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. With this book, you will: Understand the promise and challenges of LLMs in healthcare Learn the inner workings of LLMs and generative AI Explore automation of healthcare use cases for improved operations and patient care using LLMs Dive into patient experiences and clinical decision-making using generative AI Review future applications in pharmaceutical R&D, public health, and genomics Understand ethical considerations and responsible development of LLMs in healthcare "The authors illustrate generative's impact on drug development, presenting real-world examples of its ability to accelerate processes and improve outcomes across the pharmaceutical industry." --Harsh Pandey, VP, Data Analytics & Business Insights, Medidata-Dassault Kerrie Holley is a retired Google tech executive, IBM Fellow, and VP/CTO at Cisco. Holley's extensive experience includes serving as the first Technology Fellow at United Health Group (UHG), Optum, where he focused on advancing and applying AI, deep learning, and natural language processing in healthcare. Manish Mathur brings over two decades of expertise at the crossroads of healthcare and technology. A former executive at Google and Johnson & Johnson, he now serves as an independent consultant and advisor. He guides payers, providers, and life sciences companies in crafting cutting-edge healthcare solutions.

Nora Szentivanyi, Michael Hanson and Raphael Brun-Aguerre discuss their takeaways from the July CPI reports and how the incoming data are shaping the outlook for global inflation and  monetary policy. Global inflation remains sticky at 3% with a 0.3% monthly core CPI gain in July. But a regional rotation is under way in which a greater easing in labor cost pressures and goods price declines are producing a pronounced slide in US core inflation. While US core CPI inflation eased to just 1.6%ar in the three months to July, Euro area core HICP rose at a 3.5%ar and EM core inflation (ex China, Turkiye and Russia)  reaccelerated close to 4%.  

This podcast was recorded on Aug 22, 2024.

© 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.

Guardrails are not something we actively use in our day-to-day lives, they’re in place to keep us safe when we lack the control needed to keep us on course, and for that, they are essential. Navigating the complexities of decision-making in AI and data can be challenging, especially on a global scale when many are searching for any sort of competitive advantage. Every choice you make can have significant impacts, and having the right frameworks, ethics and guardrails in place are crucial. But how do you create systems that guide decisions without stifling creativity or flexibility? What practices can you employ to ensure your team consistently make better choices and flourish in the age of AI? Viktor Mayer-Schönberger is a distinguished Professor of Internet Governance and Regulation at the Oxford Internet Institute, University of Oxford. With a career spanning over decades, his research focuses on the role of information in a networked economy. He previously served on the faculty of Harvard’s Kennedy School of Government for ten years and has authored several influential books, including the award-winning “Delete: The Virtue of Forgetting in the Digital Age” and the international bestseller “Big Data.” Viktor founded Ikarus Software in 1986, where he developed Virus Utilities, Austria’s best-selling software product. He has been recognized as a Top-5 Software Entrepreneur in Austria and has served as a personal adviser to the Austrian Finance Minister on innovation policy. His work has garnered global attention, featuring in major outlets like the New York Times, BBC, and The Economist. Viktor is also a frequent public speaker and an advisor to governments, corporations, and NGOs on issues related to the information economy. In the episode, Richie and Viktor explore the definition of guardrails, characteristics of good guardrails, guardrails in business contexts, life-or-death decision-making, principles of effective guardrails, decision-making and cognitive bias, uncertainty in decision-making, designing guardrails, AI and the implementation of guardrails, and much more. Links Mentioned in the Show: Guardrails: Guiding Human Decisions in the Age of AI by Urs Gasser and Viktor Mayer-SchönbergerBook - The Checklist Manifesto by Atul GawandeConnect with ViktorCourse - AI EthicsRelated Episode: Making Better Decisions using Data & AI with Cassie Kozyrkov, Google's First Chief Decision ScientistRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

In this brilliant episode, Jason Foster delves into the transformative impact of artificial intelligence on businesses and everyday life with Tom Goodwin, a world-renowned trends and transformation expert, keynote speaker, consultant, and author. Tom shares his expert insights on how technology reshapes the rules of business, creates new possibilities, and influences consumer behaviour. From discussing the hype surrounding AI to exploring its practical applications and the importance of adapting to technological advancements, this conversation offers a comprehensive look at the future of AI in the corporate world and beyond.

Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. They work with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and change management and leadership. The company was named one of The Sunday Times' fastest-growing private companies in 2022 and 2023 and named the Best Place to Work in Data by DataIQ in 2023.

Está no ar, o Data Hackers News !! Os assuntos mais quentes da semana, com as principais notícias da área de Dados, IA e Tecnologia, que você também encontra na nossa Newsletter semanal, agora no Podcast do Data Hackers !!

Aperte o play e ouça agora, o Data Hackers News dessa semana !

Para saber tudo sobre o que está acontecendo na área de dados, se inscreva na Newsletter semanal:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.datahackers.news/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Conheça nossos comentaristas do Data Hackers News:

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Monique Femme⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Paulo Vasconcellos

⁠Matérias/assuntos comentados:

Anthropic lança Claude no Brasil com foco em uso corporativo;

Vazamento de dados atinge 39 milhões de registros de brasileiros.

Baixe o relatório completo do State of Data Brazil e os highlights da pesquisa :

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Elon Musk lança polêmica nova versão de sua IA de geração de imagens;•⁠ ⁠Taxis da Waymo começam a buzinar de madrugada;•⁠ Ex-CEO da Google pede desculpas depois de dizer que a Google estava perdendo a batalha de IA por causa de trabalho remoto.

Evento Python Brasil use o cupom 10%0ff - DATAHACKERS_NA_PYBR24

Demais canais do Data Hackers:

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Learn three powerful resume hacks to navigate the applicant tracking system (ATS) and significantly increase your chances of landing a data job. Discover how changing your job titles, editing your job experiences, and creatively enhancing bullet points on your resume can help you get noticed in an oversaturated job market. 📊 Come to my next free “How to Land Your First Data Job” training⁠ ⁠🏫 Check out my 10-week data analytics bootcamp ⁠📩 Get my weekly email with helpful data career tips⁠ ⁠🧙‍♂️ Ace the Interview with Confidence Timestamps: 01:21 Hack #1 05:12 Hack #2 07:50 Hack #3 Connect with Avery: 📺 Subscribe on YouTube 🎙Listen to My Podcast 👔 Connect with me on LinkedIn 📸 Instagram 🎵 TikTok Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Join Kirk and Emil Sayegh as they discuss Emil's remarkable journey from an immigrant from Lebanon to proudly becoming a U.S. citizen and serving the country through his leadership in the tech industry. Emil shares his path from mechanical engineering to product management, ultimately leading three Data Center and Managed Services companies as CEO. The conversation delves into the evolution and challenges of the data center industry, highlighting the critical need for sustainable energy solutions to address power consumption and efficiency issues.

They explore the importance of smart algorithms, the evolution of managed services, and customer-centric approaches, with insights from Emil's experience at Rackspace. Key topics include capital management, talent acquisition, cloud services, AI integration, and robust security practices, along with reflections on software glitches and outdated systems. The discussion underscores the balance between technological progress and ethical governance, emphasizing the role of human values and optimism in addressing global challenges through technology.

Rehgan Bleile joins me to chat about the challenges and importance of AI governance and adoption. We also discuss the lack of representation of women in conferences, and efforts to create genuine opportunities for women speakers. 
 AlignAI: getalignai.com LinkedIn: https://www.linkedin.com/in/rehganavon/ Women in Analytics: https://www.womeninanalytics.com/

Broadly writ, we're all in the business of data work in some form, right? It's almost like we're all swimming around in a big data lake, and our peers are swimming around it, too, and so are our business partners. There might be some HiPPOs and some SLOTHs splashing around in the shallow end, and the contours of the lake keep changing. Is lifeguarding…or writing SQL…or prompt engineering to get AI to write SQL…or identifying business problems a job or a skill? Does it matter? Aren't we all just trying to get to the Insights Water Slide? Katie Bauer, Head of Data at Gloss Genius and thought-provoker at Wrong But Useful, joined Michael, Julie, and Val for a much less metaphorically tortured exploration of the ever-shifting landscape in which the modern data professional operates. Or swims. Or sinks? For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Today, we’re joined by Joseph Ruscio, General Partner at Heavybit Industries, the leading investor in developer-first startups. We talk about:  The most efficient go to market approachWhy developer velocity is the single most important thingGiving humans superpowers, not replacing themWhy it’s laughable to claim generative AI will replace nearly all developersHelping technologists build go-to-market plans & why, even though they think salespeople are icky, they must employ a lot of them

Doing sales better is perhaps the most direct route to making more revenue, so it should be a priority for every business. B2B sales is often very complex, with a mix of emails and video calls and prospects interacting with your website and social content. And you often have multiple people making decisions about a purchase. All this generates a massive data—or, more accurately, a mess of data—which very few sales teams manage to harness effectively. How can sales teams can make use of data, software, and AI to clean up this mess, work more effectively, and most of all, crush those quarterly targets?  Ellie Fields is the Chief Product and Engineering Officer at Salesloft leading Product Management, Engineering, and Design. Ellie previously led development teams at Tableau responsible for product strategy and engineering for collaboration and mobile portfolio. Ellie also launched and led Tableau Public. In the episode Richie and Ellie explore the digital transformation of sales, how sales technology helps buyers and sellers, metrics for sales success, activity vs outcome metrics, predictive forecasting, AI, customizing sales processes, revenue orchestration, how data impacts sales and management, future trends in sales, and much more.  Links Mentioned in the Show: SalesloftConnect with EllieForrester ResearchCourse - Understanding the EU AI ActRelated Episode: Data & AI at Tesco with Venkat Raghavan, Director of Analytics and Science at TescoRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

Recession risks faded a bit this week as a stronger US consumer and a dip in initial claims combined with a constructive CPI report that gives a green light to Fed easing. At the same time, global sectoral and geographic imbalances abound, as a strong US contrasts with a loss of momentum in Europe and a weak China. A weak manufacturing sector everywhere also keeps downside risks elevated. Next week’s flash PMIs in the DM will be keenly watched for rotational improvements.

Speakers:

Bruce Kasman

Joseph Lupton

This podcast was recorded on 16 August 2024.

This communication is provided for information purposes only. Institutional clients please visit www.jpmm.com/research/disclosures for important disclosures. © 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.

This talk will cover the ins and outs of running multi-model workloads at scale. Learn about the latest techniques and frameworks to ensure your AI programs run fast and efficiently. Participate in a hands-on workshop that showcases practical applications of the concepts discussed in the talk. Gain insights into optimizing your AI workflows and see real-world examples in action.

Learn how AI can transform product search and streamline data analysis. This presentation will demonstrate the power of AI-driven insights to improve efficiency and support informed decision-making.

Utilizing a Hailo AI Acceleration Module with a Raspberry Pi 5 device we will process real-time video streams from an edge camera and store real-time results in a vector database and send messages to Slack channels. We will show you how to build Edge AI applications that can stream unstructured data to the cloud or store it locally in a local Vector database. We will run a live demo of a neural network inference accelerator capable of 13 tera-operations per second (TOPS).

Haibin Zhu joins Nora Szentivanyi to discuss China’s economic and policy outlook amid mounting downside risks to growth. Following the latest set of disappointing activity data we lowered our full-year 2024 GDP growth forecast to 4.6%––below the government’s target of 5%––and continue to see a further slowdown to 4% in 2025. When activity has faltered in the past authorities tended to increase policy support to keep GDP growth close to the target range. This is becoming increasingly challenging, progressively requiring more policy stimulus to generate the same growth impact. Deflationary pressures have become entrenched amid lopsided policy support that has favored production over consumption, while the time inconsistency of China’s housing strategy has prolonged the most severe downturn in three decades.

This communication is provided for information purposes only.  Institutional clients can view the related report at https://www.jpmm.com/research/content/GPS-4770915-0 , https://www.jpmm.com/research/content/GPS-4747455-0 , https://www.jpmm.com/research/content/GPS-4748628-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures.

© 2024 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.

One of the big use cases of generative AI is having small applications to solve specific tasks. These are known as AI agents or AI assistants. Since they’re small and narrow in scope, you probably want to create and use lots of them, which means you need to be able to create them cheaply and easily. I’m curious as to how you go about doing this from an organizational point of view. Who needs to be involved? What’s the workflow and what technology do you need? Dmitry Shapiro is the CEO of MindStudio. He was previously the CTO at MySpace and a product manager at Google. Dmitry is also a serial entrepreneur, having founded the web-app development platform Koji, acquired by Linktree, and Veoh Networks, an early YouTube competitor. He has extensive experience in building and managing engineering, product, and AI teams. In the episode, Richie and Dmitry explore generative AI applications, AI in SaaS, approaches to AI implementation, selecting processes for automation, changes in sales and marketing roles, MindStudio, AI governance and privacy concerns, cost management, the limitations and future of AI assistants, and much more. Links Mentioned in the Show: MindStudioConnect with Dmitry[Webinar] Dmitry at RADAR: From Learning to Earning: Navigating the AI Job LandscapeRelated Episode: Designing AI Applications with Robb Wilson, Co-Founder & CEO at Onereach.aiRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business