Artificial Intelligence Feed’s Post

An Overview of the Data-Loader Landscape: Abstract and Intro ... https://lnkd.in/d4_66vTc #AI #ML #Automation

An Overview of the Data-Loader Landscape: Numerical Results ... https://lnkd.in/d4TBj-ks #AI #ML #Automation

An Overview of the Data-Loader Landscape: Numerical Results Cont. ... https://lnkd.in/e2VhqUyh #AI #ML #Automation

I hope you'll enjoy this discussion centered on the pivotal role of data in the Gen AI era, emphasizing its value as a corporate asset. Vijay, Jacob, and I explored the shift towards unstructured data and the impact of generative AI on business transformation. Key points included the importance of multi-modality in data analysis, strategies for data augmentation, and the potential for AI to enable businesses to venture into new areas with confidence. We discuss learning on leveraging AI for innovative solutions, highlighting the transformative power of data in today's digital landscape. As always - enjoy and share your perspective. #GenAI #AI #data #Azure https://lnkd.in/gP-FvjFi

Join us on May 23rd for a webinar that will provide real-world examples and strategies for leveraging LLMs to drive alpha generation. From integrating data safely to optimizing prompts and efficiency, we'll cover the essentials you need to know.

In this two-part episode of the #AzureEssentialsShow, hosted by Jacob Bendfeldt, we'll explore the future of data in the #GenAI era with insights from Microsoft's Vijay Mital and Ulrich Homann, as they delve into leveraging unstructured data and generative AI for groundbreaking #BusinessTransformation. Uncover strategies for #DataAugmentation, #DataSynthesis, and the transformative power of AI in driving new business opportunities. Check it out!

🔎 How to Ensure Human Oversight on Algorithmic Decision-Making "Human oversight of algorithmic decisions: a post-deployment empirical investigation", presented at the recent #DataforPolicy2024 international conference, by Susana Lavado (Nova School of Business and Economics), Charles W. (Rotterdam School of Management, Erasmus University), and Leid Zejnilovic (Nova School of Business and Economics) examines the critical role of human oversight in algorithmic decision-making systems. Their longitudinal analysis of real-world human-computer interactions sheds light on how human supervision can improve the effectiveness and accountability of algorithms. 🔑 Key Insights: 💡 Human-in-the-loop: The study underscores the importance of continuous human involvement in overseeing algorithmic decisions to prevent errors and biases. ⚖️ Accountability: By introducing human oversight, organizations can enhance transparency and hold systems accountable for decisions made by algorithms. 📊 Real-world application: The research uses empirical data from a real-world setting to highlight practical challenges and solutions for maintaining human oversight post-deployment. 🖥️ Watch the full research presentation on Data for Policy Youtube Channel ⬇ : https://lnkd.in/ezthXX_v #AlgorithmicDecisions #HumanOversight #DataforPolicy #AI #MachineLearning #HumanComputerInteraction #Humanintheloop

A Practical Approach to Novel Class Discovery in Tabular Data: Full training procedure ... https://lnkd.in/ec4-mbNm #AI #ML #Automation

Earlier this summer, I was at the Data for Policy 2024 conference presenting my work on human oversight of algorithmic decisions. You can watch the full presentation below!

📹 In the final part of this video interview, Jim Murphy, CEO of Greenphire discusses the role of #artificialintelligence, using trusted data, and simplifying protocols