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The field of datascience has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. 20232024: AIengineering became a hot topic, expanding beyond MLOps to include AI agents, autonomous systems, and scalable model deployment techniques.
Summary: The blog explores the synergy between Artificial Intelligence (AI) and DataScience, highlighting their complementary roles in Data Analysis and intelligent decision-making. This article explores how AI and DataScience complement each other, highlighting their combined impact and potential.
Eve Psalti Senior Director | Microsoft Azure AI Over the course of her 20+ year career, Eve Psalti has been the Senior Director at Microsoft’s Azure AIengineering organization, the Head of Strategic Platforms at Google Cloud, and held business development, sales and marketing leadership positions at Microsoft and startups across the US and Europe.
With the rapid advance of AI across industries, responsibleAI has become a hot topic for decision-makers and data scientists alike. But with the advent of easy-to-access generative AI, it’s now more important than ever. So don’t miss out, and see for yourself what’s on the horizon for AI.
Sarah Bird, PhD | Global Lead for ResponsibleAIEngineering | Microsoft — Read the recap here! Jepson Taylor | Chief AI Strategist | Dataiku Thomas Scialom, PhD | Research Scientist (LLMs) | Meta AI Nick Bostrom, PhD | Professor, Founding Director | Oxford University, Future of Humanity Institute — Read the recap here!
DataScience & AI News NVIDIA Unveils H200 Tensor Core GPU Aimed at AI and HPC Workloads NVIDIA’s H200 Tensor Core GPU hopes to see a new benchmark as the world’s most powerful GPU designed to supercharge AI and HPC workloads.
Applied Generative AI for Digital Transformation by MIT PROFESSIONAL EDUCATION Applied Generative AI for Digital Transformation is for professionals with backgrounds, especially senior leaders, technology leaders, senior managers, mid-career executives, etc. Therefore, it expects you to possess the said experience in the field.
Industry, Opinion, Career Advice The Tradeoff Between Complexity and Ground Truth in AI: What You Need to Know Here, we focus on ground truth in AI and what stakeholders need to know to be effective partners with datascience teams. These scary good prices won’t last long! Register now for 30% off.
Though there are great potential benefits, it is important to ensure this technology is developed and used responsibly. In her keynote speech at ODSC West, Sarah Bird, Global Lead for ResponsibleAIEngineering at Microsoft, discussed Microsoft’s journey in building and using generative AIresponsibly.
Everyone knows Microsoft, as before they were a leader in datascience and AI, they were a leader in software and technology — and still are. Webinars Under our Ai+ Training platform, we host playlists of past webinars that we’ve held with Microsoft. Interested in attending an ODSC event?
ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in datascience and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsibleAI, and more. Check out our virtual discounted passes.
This May, were heading to Boston for ODSC East 2025, where data scientists, AIengineers, and industry leaders will gather to explore the latest advancements in AI, machine learning, and dataengineering. Sessions for Tuesdayinclude: What can AI Software Engineers Actually dowell?
Time is running out to get your pass to the can’t-miss technical AI conference of the year. Our incredible lineup of speakers includes world-class experts in AIengineering, AI for robotics, LLMs, machine learning, and much more. ODSC West is NEXT WEEK! Register here before we sell out! Register by Friday for 30% off!
She led the cross-company team of experts to develop the new Bing responsibly and led the ResponsibleAI development for Github Copilot. She also led the product development of responsibleAI tools including Fairlearn, SmartNoise, and InterpretML. Sign up now while tickets are 30% off!
In the spirit of open data and growing the datascience and AI community, we are thrilled to announce that we are now offering a free ODSC Open Pass, both for in-person and virtual during ODSC West this October 30th to November 2nd. Subscribe to our weekly newsletter here and receive the latest news every Thursday.
Why Silicon Valley is the Go-To Place for Artificial Intelligence Whether it’s through innovation or raising capital, the Silicon Valley AI scene is where it’s at if you want to follow artificial intelligence developments. See what’s going on with this year’s ODSC West bootcamp here.
Our lineup of experts has won numerous awards, authored books and widely cited papers, and shaped the future of datascience and AI with their research. Don’t miss your chance to hear from these luminaries during this pivotal time in the AI and datascience industries. Check them out below.
Artificial intelligence (AI) continues to transform industries, offering groundbreaking capabilities while presenting unique challenges. In a recent episode of ODSCs AiX Podcast , Cal Al-Dhubaib, Head of AI and DataScience at Further and a prominent advocate for responsibleAI, shared invaluable insights from his journey.
AI Architects work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to design and deliver AI solutions that drive innovation, efficiency, and competitive advantage. There are umpteen career options for data experts in the years to come. Moreover, pickle.AI
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The adoption of generative AI tools, predictive analytics, and advanced algorithms has propelled organizations to seek talent capable of leveraging these technologies for competitive advantage. Businesses need individuals to develop, refine, and oversee AI systems tailored to specific needs. Read the full report formore.
Topics Include: Advanced ML Algorithms & EnsembleMethods Hyperparameter Tuning & Model Optimization AutoML & Real-Time MLSystems Explainable AI & EthicalAI Time Series Forecasting & NLP Techniques Who Should Attend: ML Engineers, Data Scientists, and Technical Practitioners working on production-level ML solutions.
Researchers began addressing the need for Explainable AI (XAI) to make AI systems more understandable and interpretable. Ethical considerations, such as bias mitigation, privacy protection, and responsibleAI deployment, gained prominence. The average salary of an AIEngineer stands at $120,017 annually.
This focus on explainability builds trust in AI, aids compliance with ethical guidelines, and facilitates collaboration between technical and non-technical teams, ultimately enabling responsibleAI deployment. Register now for only$299!
has experience in datascience and artificial intelligence, with a background in academia, government, and the private sector. As the CEO and Founder of AI Squared, he oversees a team working on integrating AI and machine learning into web-based applications. How does AI Squared ensure responsibleAI deployment?
Be sure to check out her talk, “ Language Modeling, Ethical Considerations of Generative AI, and ResponsibleAI ,” there! Decades of technological innovation have shaped Artificial Intelligence (AI) as we know it today, but there has never been a moment for AI quite like the present one.
Generative AI became the thing, hiring and firing was all over the place, “data scientist” isn’t the sexiest job anymore (who even knows what it is now?), and responsibleAI is now at the front of everyone’s mind. What I didn’t predict was how huge AI would be this year. It’ll be good, and I will be there as well.
Key hands-on exercises will include prompt engineering, generating and refining code with AI, creating images using the DALL-E model, and implementing responsibleAI practices.
Birago Jones is the CEO and Co-Founder of Pienso, a no-code/low-code platform for enterprises to train and deploy AI models without the need for advanced datascience or programming skills. Pienso ‘s interactive learning interface is designed to enable users to harness AI to its fullest potential without any coding.
As LLMs continue to expand, AIengineers face increasing challenges in deploying and scaling these models efficiently for inference. She has been actively involved in multiple Generative AI initiatives across APJ, harnessing the power of Large Language Models (LLMs). 70B model on an ml.p4d.24xlarge
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