Data teams must filter, blend, and refine raw data inputs to create the high-octane fuel that drives innovation with artificial intelligence and machine learning (AI/ML). Published at: https://www.eckerson.com/articles/refining-the-right-fuel-how-data-integration-drives-the-ai-ml-model-lifecycle

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.

We’ve all met someone with a limiting belief, someone who describes their relationship with data as: “I’m not a data person” or “I can’t tell a data story.” Oftentimes, this mindset starts in childhood. Data storytelling is an incredible vehicle to challenge and reshape these beliefs early on. Imagine if kids could develop the skills to ask the right questions, interpret data, and tell powerful stories with it from a young age. How can we introduce children to data storytelling in a fun and engaging way? Cole Nussbaumer Knaflic has always had a penchant for turning data into pictures and into stories. She is CEO of Storytelling with Data, the author of the best-selling books, Storytelling with Data: a Data Visualization Guide for Business Professionals, Storytelling with Data: Let’s Practice!, and Storytelling with You: Plan, Create, and Deliver a Stellar Presentation. For more than a decade, Cole and her team have delivered interactive learning sessions sought after by data-minded individuals, companies, and philanthropic organizations all over the world. They also help people create graphs that make sense and weave them into compelling stories through the popular SWD community, blog, podcast, and videos. In the episode, Adel and Cole explore Cole’s book Daphne Draws Data, challenging limiting beliefs that can develop during childhood, why early exposure to data literacy is important, engaging with children using data, adapting complex topics, data storytelling for adults, data visualization, building a data storytelling culture, the future of data storytelling in the age of AI, and much more.  Links Mentioned in the Show: Cole’s Book: Daphne Draws DataStorytelling with DataConnect with ColeSkill Track: Data StorytellingRelated Episode: Navigating Parenthood with Data with Emily OsterRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

The latest PMIs reinforce the resilience of the global expansion, even if still imbalanced across sectors. While the US has led with the strongest recovery, the more material moderation in the labor markets of late shifts the risk skew onto growth over inflation. This points to at least 100bp of Fed cuts by year-end with a start of 50bp later this month. Elsewhere, the cutting cycle has already begun as inflation looks on path to return to target and we look for another 25bp cut from the ECB next week.

Speakers:

Joseph Lupton

Michael Hanson

This podcast was recorded on 6 September 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.

Jami McGraw, Director of Technology at Arrow electronics joins us today on the podcast to talk about where we are in the evolution of data hardware. We also discuss how AI is bringing leaps and bounds in technology, deciding the right compute for your workflow, and tools you can use to feel more confident about your technology decisions.  @ArrowFiveYearsOut  #data #ai #artificialintelligence #datastorage #edgetocloud #datascience #technology 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.

In this episode you'll hear best practices for building and leading analytics teams, the impact AI is already making on the industry, and how data teams should be thinking about the future.   Director of Analytics & Data Science Joe Squire will share practical tips for data leaders looking to build effective teams and navigate through today's rapidly changing environment, and give his thoughts on where things are headed.   What You'll Learn: Best practices for building and leading strong analytics teams The ways AI is changing analytics and where the data industry is headed How leaders need to be thinking AI and the long-term impact on their teams   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Joe Squire is a Director of Analytics & Data Science in the healthcare industry. Joe helps companies like UPMC manage and use their data in a meaningful way to improve their healthcare outcomes. Follow Joe on LinkedIn

Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

LLMs have opened up new avenues in NLP with their possible applications, but evaluating their output introduces a new set of challenges. In this talk, we discuss how the evaluation of LLMs differs from the evaluation of classic ML-based solutions and how we tackle the challenges.

Lot’s of AI use-cases can start with big ideas and exciting possibilities, but turning those ideas into real results is where the challenge lies. How do you take a powerful model and make it work effectively in a specific business context? What steps are necessary to fine-tune and optimize your AI tools to deliver both performance and cost efficiency? And as AI continues to evolve, how do you stay ahead of the curve while ensuring that your solutions are scalable and sustainable?  Lin Qiao is the CEO and Co-Founder of Fireworks AI. She previously worked at Meta as a Senior Director of Engineering and as head of Meta's PyTorch, served as a Tech Lead at Linkedin, and worked as a Researcher and Software Engineer at IBM.  In the episode, Richie and Lin explore generative AI use cases, getting AI into products, foundational models, the effort required and benefits of fine-tuning models, trade-offs between models sizes, use cases for smaller models, cost-effective AI deployment, the infrastructure and team required for AI product development, metrics for AI success, open vs closed-source models, excitement for the future of AI development and much more.  Links Mentioned in the Show: Fireworks.aiHugging Face - Preference Tuning LLMs with Direct Preference Optimization MethodsConnect with LinCourse - Artificial Intelligence (AI) StrategyRelated Episode: Creating Custom LLMs with Vincent Granville, Founder, CEO & Chief Al Scientist at GenAltechLab.comRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

our 2023 keynote

Jordan Tigani is back to chat about why small data is awesome, data lakehouses, DuckDB, AI, and much more.

Motherduck: https://motherduck.com/

LinkedIn: https://www.linkedin.com/in/jordantigani/

Twitter: https://twitter.com/jrdntgn?lang=en

In this episode, host Jason Foster sits down with Anthony Deighton, CEO at Tamr, to delve into the complexities of data quality and analytics. They explore the challenges organisations face in managing and improving data quality, the pivotal role of AI in addressing these challenges, and strategies for aligning data quality initiatives with business objectives. They also explore the evolving role of central data teams, led by Chief Data Officers, in spearheading enterprise-wide data quality initiatives and how businesses can effectively tackle key challenges.

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.

This talk explores key cybersecurity concerns associated with AI adoption and steps organisations can take to mitigate them. Together we will look at AI security use cases and examine the NIST AI RMF & NIST CSF to understand how security professionals can leverage best practices to manage AI security risk.

Send us a text Chris Konarski, VP Client Engineering, IBM, talks about how to place client obsession, co-creation, and curiosity to work within the Enterprise. 01:55 Who is Chris Konarski?04:41 Client Engineering09:02 Client Obsesses, Biased to Action, Curiosity11:49 Love to Designers13:37 Four Weeks to Deliver16:04 3 Most Successful AI Use Cases18:14 AI Win Rate21:05 Use Case Problems30:36 What Client Engineering is NOT37:12 Competitors 39:33 Client Engineering's Future41:36 Measuring Success44:14 In Summary44:37 For Fun49:22 What's True57:20 It's a WrapLinkedin: https://www.linkedin.com/in/chris-konarski/ Website: https://www.ibm.com/client-engineering Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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Elon Musk, faz novo pedido de desbloqueio de contas bancárias no Brasil;

Data Hackers está no ranking das 11 principais newsletters brasileiras para assinar em 2024;

Candidato a Prefeito Americano promete deixar IA Governar Cidade:

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