Microsoft and EY are driving a more inclusive AI industry through groundbreaking collaboration. EY’s Neuro-Diverse Center of Excellence and Microsoft’s Azure AI came together in an iterative co-design process to improve accessibility in Azure AI Foundry, driven by a shared inclusive design philosophy. Hear firsthand experiences from developers and discuss how inclusive innovation can lead to a more equitable AI-driven world, allowing developers of all abilities to thrive in the age of AI.

To learn more, please check out these resources: * https://aka.ms/Ignite24Plan-AccelerateGenerativeAI * https://aka.ms/IgniteEYStory * https://inclusive.microsoft.design/

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * John Franzen * Ailsa Leen * David Mondello * Heather Tartaglia

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK116 | English (US) | AI

MSIgnite

Due to their size SLMs are prime candidates to customize for specific tasks. In this session, we will delve into fine-tuning and customizing Phi and Small Language Models (SLMs) to meet specific use cases and enhance performance. Join us to learn how to harness the full potential of Phi and SLMs through fine-tuning and customization, and take your AI projects to the next level.

To learn more, please check out these resources: * https://aka.ms/Ignite24Plan-AccelerateGenerativeAI * https://aka.ms/phi

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Martin Cai * Gina Lee * Sameer Sharma

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK114 | English (US) | AI

MSIgnite

New challenges and threats are emerging as AI evolves. Learn how Azure AI’s advanced responsible AI tooling, including Azure AI Content Safety and built-in safety tools in Azure AI Foundry like evaluations and monitoring, can help mitigate these risks. This session covers responsible AI tooling announcements from Azure and will equip you with essential strategies and tools for deploying responsible AI applications.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Sarah Bird * Anna Maria Brunnhofer-Pedemonte * Markus Mooslechner * Mehrnoosh Sameki * Paul Shealy

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK113 | English (US) | AI

MSIgnite

Join us as we introduce a groundbreaking new multimodal service as part of the Azure AI portfolio - Azure AI Content Understanding. Discover how we are helping enterprises build the next-generation of multimodal AI apps by streamlining data processing workflows with an efficient setup, grounding mechanisms, and confidence scores for modalities such as documents, images, video, and audio. Learn how WPP and Numonix are delivering new customer experiences using the new Azure AI service.

To learn more, please check out these resources: * https://aka.ms/Ignite24Plan-ModernizeAppsforAI * https://aka.ms/content-understanding-launch-blog * https://aka.ms/content-understanding

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Selena Cameron * Marco Casalaina * Evan Kahan * Vinod Kurpad

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK111 | English (US) | AI

MSIgnite

OpenAI’s o1 models on Azure are revolutionizing complex problem solving across math, science, and advanced applications. With capabilities in algorithm generation, scientific data analysis, and intricate reasoning tasks, o1 models offer unmatched solutions for developers and enterprises alike. Join us to explore how these models can tackle the toughest challenges, with built-in safety features ensuring secure deployments.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Marco Casalaina * Jennifer Marsman

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK110 | English (US) | AI

MSIgnite

Communicating effectively with people in different languages is the new necessity of our age. Enterprises are looking to eliminate conversation barriers with their customers and internal stakeholders. Join us as we unveil new real-time speech translation and video translation capabilities in Azure AI Speech. These along with custom avatars and voices are elevating brand value for customers across the globe.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Beth Adamo Lenhoff * Jacky Kang * Dong Li * minggao wang

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK109 | English (US) | AI

MSIgnite

Recent advances in AI have finally made headway in solving the language barrier that has divided humanity since prehistoric times. Now, AI brings the ability to translate text, documents, speech and images in real-time. Join us to learn how you can bring high quality, customized Translator AI models into your GenAI app development regardless of where you deploy your AI - in the cloud or on edge devices that you use everyday.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Marty DeGraff * Krishna Doss Mohan * Michelle Niethammer

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK107 | English (US) | AI

MSIgnite

In this session for AI devs (or those just getting started), you'll get a quick primer on RAG (Retrieval-Augmented-Generation) fundamentals, then learn how to use LlamaIndex and Azure AI Search to rapidly build, test, and evaluate Advanced RAG applications. Join us for practical information on RAG, popular retrieval strategies and setting up your first data-grounded AI application.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Farzad Sunavala * Laurie Voss

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK106 | English (US) | AI

MSIgnite

Azure AI Search is a full-featured knowledge retrieval system, built to power enterprise-ready RAG applications. Join this session to learn about our latest announcements and our continuous momentum for delivering trend-setting search, superior retrieval quality and enabling RAG at scale.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Pablo Castro

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK105 | English (US) | AI

MSIgnite

What does RAG at scale look like? When building your own copilot, how do you know your application is delivering the responses as designed? Join our session with AT&T, where Mark will share how they built a RAG knowledge management platform on Azure AI Search, powering hundreds of GenAI applications across the organization. We will show how RAG quality is measured, and the variety of use cases built on top of this RAG platform. See what RAG at scale truly looks like in production.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Mark Austin * Ben Tezcan

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK104 | English (US) | AI

MSIgnite

Dive deep into the world of fine-tuning with Azure OpenAI Service. We will guide you through the techniques and best practices that enable you to tailor AI models to meet your specific needs, optimizing performance for your unique applications. This session is perfect for developers and data scientists seeking to maximize AI effectiveness.

To learn more, please check out these resources: * https://aka.ms/Ignite24Plan-CreateAdvancedAISolutions * https://aka.ms/AOAI_FT

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Ami Patel * Anish Shah * Steve Sweetman

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK101 | English (US) | AI

MSIgnite

We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. The convergence of AI and business intelligence is creating new opportunities for innovation. As AI becomes more embedded in BI tools, the challenge lies in fostering a data-driven culture within organizations. How can professionals bridge the gap between intuition and data-driven decision-making? What strategies can be employed to cultivate a culture where data is at the forefront of business decisions? And how can AI tools be leveraged to make data insights more accessible to all employees? Omri Kohl is the CEO and co-founder of Pyramid Analytics, the Trusted Analytics Platform built for the enterprise. He leads Pyramid’s strategy and operations through a fast-growing data and analytics market. Kohl brings a deep understanding of analytics and AI technologies, valuable management experience, and a natural ability to challenge conventional thinking. Since Kohl founded Pyramid in 2009, it has achieved significant market success and customer growth. Kohl is a highly experienced entrepreneur with a proven track record developing and managing fast-growth companies. In the episode, Richie and Omri explore the evolution of BI with AI, the importance of data-driven culture, the role of generative BI in democratizing insights, the balance between intuition and data, and much more. Links Mentioned in the Show: Pyramid AnalyticsConnect with OmriPyramid Analytics GenBI DemoCourse: Introduction to Data CultureRelated Episode: Self-Service Business Intelligence with Sameer Al-Sakran, CEO at MetabaseRewatch sessions from RADAR: Forward 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

Episode Overview In this fascinating episode, we explore Multimodal AI—the cutting-edge technology that's reshaping how businesses solve complex problems. Think of it as a brilliant detective, piecing together clues from text, images, audio, and video to solve mysteries that would otherwise go unnoticed. Whether it's improving customer satisfaction, boosting team performance, or outsmarting competitors, Multimodal AI has the answers. Let’s dive into the details and discover how this incredible tool can transform the way you work. What Is Multimodal AI? Multimodal AI is like a detective for businesses. Instead of relying on just one type of information, it gathers and analyzes data from multiple sources: Text: Emails, reports, and customer feedback.Images: Product photos, website heatmaps, and ads.Audio: Recorded conversations and customer support calls.Video: Marketing content, training sessions, and competitor campaigns.By combining all these clues, Multimodal AI provides a full picture of what’s really happening in your business. How It Solves Problems Imagine running a company where data is scattered everywhere. Multimodal AI connects the dots to find hidden solutions. For example: Sales Drop Mystery: It reads sales reports (text), analyzes fewer clicks on your website (image), listens to customer complaints (audio), and reviews competitor ads (video). The answer? Your competitor’s design is outperforming yours.Employee Training Issues: By scanning training videos and listening to feedback, it uncovers why new hires are struggling and suggests solutions.Customer Dissatisfaction: It pieces together product reviews, social media chatter, and customer service calls to highlight what your audience really wants.The Detective’s Toolkit Multimodal AI has a wide range of tools that can help your business: Competitor Analysis: Tracks trends from competitor ads and online content to refine your strategy.Pattern Recognition: Finds inefficiencies in processes, helping you unlock hidden opportunities.Customer Insights: Decodes reviews, photos, and social media to tell you exactly what your customers desire.Employee Feedback: Helps improve team performance by analyzing onboarding videos and feedback sessions.Why It Matters With Multimodal AI, you don’t just respond to problems—you prevent them. Whether it’s a struggling campaign or unhappy customers, this tool can solve the issue before it escalates into a crisis. It’s like having a corporate Sherlock Holmes by your side, ensuring your business stays one step ahead. Final Thoughts Multimodal AI is more than just technology—it’s your secret weapon for success. Tune in to this episode to learn how it works, why it’s essential, and how it can take your business to the next level. Listen now and solve your toughest challenges with Multimodal AI!

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs. Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. By learning both the philosophical foundation and practical techniques, you'll be equipped with the knowledge and confidence to build the next generation of LLM-powered applications. Understand LLM architecture and learn how to best interact with it Design a complete prompt-crafting strategy for an application Gather, triage, and present context elements to make an efficient prompt Master specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG

We published our year-ahead outlook this week and discuss the key points in the latest Weekender. Against a backdrop of our high-for-long soft-landing scenario, two key developments are the recent US election and the shift in cycle drivers from global forces to more domestic factors. Recent data on the November flash PMIs underscore growing divergences.

Speakers:

Joseph Lupton

Nora Szentivanyi

This podcast was recorded on 22 November 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.

We talked about:

00:00 DataTalks.Club intro

00:00 Large Hadron Collider and Mentorship

02:35 Career overview and transition from physics to data science

07:02 Working at the Large Hadron Collider

09:19 How particles collide and the role of detectors

11:03 Data analysis challenges in particle physics and data science similarities

13:32 Team structure at the Large Hadron Collider

20:05 Explaining the connection between particle physics and data science

23:21 Software engineering practices in particle physics

26:11 Challenges during interviews for data science roles

29:30 Mentoring and offering advice to job seekers

40:03 The STAR method and its value in interviews

50:32 Paid vs unpaid mentorship and finding the right fit

​About the speaker:

​Anastasia is a particle physicist turned data scientist, with experience in large-scale experiments like those at the Large Hadron Collider. She also worked at Blue Yonder, scaling AI-driven solutions for global supply chain giants, and at Kaufland e-commerce, focusing on NLP and search. Anastasia is a mentor for Ml/AI, dedicated to helping her mentees achieve their goals. She is passionate about growing the next generation of data science elite in Germany: from Data Analysts up to ML Engineers.

Join our Slack: https://datatalks .club/slack.html

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

Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we touch upon the brewing rivalry between OpenAI and Anthropic, discuss Claude's new computer use feature, Google's NotebookLM and how its implications for the UX/UI of AI products, and a lot more. Links mentioned in the show: Chatbot Arena LeaderboardNotebookLMAnthropic Computer UseIntroducing OpenAI o1-preview 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

FileMaker Pro is a development platform from Claris International Inc., a subsidiary of Apple Inc. The software makes it easy for everyone to create powerful, multi-user, cross-platform, relational database applications. This book navigates the reader through the software in a clear and logical manner, with each chapter building on the previous one. After an initial review of the user environment and application basics, the book delves into a deep exploration of the integrated development environment, which seamlessly combines the full stack of schema, business logic, and interface layers into a unified visual programming experience. Everything beginners need to get started is covered, along with advanced material that seasoned professionals will appreciate. Written by a professional developer with decades of real-world experience, "Learn FileMaker Pro 2024" is a comprehensive learning and reference guide. Join millions of users and developers worldwide in achieving a new level of workflow efficiency with FileMaker. For This New Edition This third edition includes clearer lessons and more examples, making it easier than ever to start planning, building, and deploying a custom database solution. It covers dozens of new and modified features introduced in versions 19.1 to 19.6, as well as the more recent 2023 (v20) and 2024 (v21) releases. Whatever your level of experience, this book has something new for you! What You’ll Learn · Plan and create custom tables, fields, and relationships · Write calculations using built-in and custom functions · Build layouts with dynamic objects, themes, and custom menus · Automate tasks with scripts and link them to objects and interface events · Keep database files secure and healthy · Integrate with external systems using ODBC, cURL, and the FM API · Deploy solutions to share with desktop, iOS, and web clients · Learn about summary reports, dynamic object references, and transactions · Delve into artificial intelligence with CoreML, OpenAI, and Semantic Finds Who This Book Is For Hobbyist developers, professional consultants, IT staff

Le Wagon alumni from the different data bootcamps (Data Science & AI, Data Analytics and Data Engineering) share their experiences in job hunting and career growth.