Let's dive into the fascinating world of artificial intelligence (AI) in the healthcare sector with our expert guest and Executive Dean from RMIT University, Karin Verspoor, who brought a wealth of knowledge in natural language processing (NLP) and biomedicine. Together, we explored the remarkable impact of AI on healthcare, particularly in imaging applications, while also discussing the challenges in accessing and standardizing clinical data. We examined the limitations of large language models like GPT-4 in healthcare settings and emphasized the importance of creating targeted applications for specific tasks. Additionally, we shed light on the Australian Alliance for AI in Healthcare's role in addressing safety, quality, ethics, and workforce development and much more.

In this captivating podcast episode, we explore Azure OpenAI Service with Microsoft's David Smith, discussing its differences from OpenAI's direct APIs, the emerging field of prompt engineering, and the potential for organizations to deploy their own large language models. We also delve into the integration of Azure OpenAI with enterprise data, address concerns about data privacy, and highlight some innovative customer use cases. Finally, we touch upon the importance of having a data science or machine learning background to utilize Azure OpenAI Service and the intriguing phenomenon of generating content that is not based on truth. Join us as we uncover the intricacies and potential impact of Azure OpenAI Service in the world of artificial intelligence.

In this episode, we're joined by the Ashish Bhatia, Product Manager of AI Builder from Microsoft Power Platform. We discuss the core capabilities, prerequisites, and what sets AI Builder apart from other no-code/low-code AI platforms. Our guest provides insights on practical usage, pricing, common use cases, and potential challenges. We also explore the evolving relationship between AI and human expertise and take a peek into the future roadmap for AI Builder. Get ready for an engaging and insightful conversation!

For decades now, computer scientists have been using Machine Learning to train computers to understand the world. Computers have filtered through images to learn the differences between particular objects and items. The next progression was to learn to create images, which they've been doing it quite well. Open AI's DALL-E, Craiyon and the likes of Midjourney are on tap. A lot of people are not just using it to create some of their slides but some are also creating their original book covers and what not! Let's learn all about AI in Image generation with Lars Klint, Senior Developer Advocate at the Pluralsight.

Depending on one’s viewpoint, the future of marriage therapy in the age of intelligent machines may be either exciting or frightening. People are becoming more attuned to, and dependent on, technology in everyday living. It seems inevitable that the fields of psychotherapy and AI will eventually be combined. Let's hear this from our researchers (Ahmet Baki Kocaballi and Berkan Yuksel) from University of Technology Sydney.

Microsoft Excel is one of the most complex and productive tools of the Microsoft Office suite, there are millions of active users who work on Excel on almost daily basis. One of the most challenging parts of this product is its formulas. In order for you to learn all of that, you need to keep on using them on daily basis and that's not possible for everyone. In mid 2022, David Bressler thought to solve this problem using AI for all the world. He transformed the way people work with Excel formulas just with the plain English. Let's learn how he did that in this episode!

SynapseML (previously known as MMLSpark), is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. It is an ecosystem of tools used to expand the Apache Spark framework in several new directions. SynapseML unifies several existing machine learning frameworks and new Microsoft algorithms into a single, scalable API that’s usable across Python, R, Scala, .NET, and Java.  In this podcast, we invited one our favorite software engineers at Microsoft, Mark Hamilton who has not just been a part of Synapse team but also has been an author / creator of some great research work.

SynapseML Website: https://aka.ms/spark

SynapseML Github: https://github.com/microsoft/SynapseML

Mosaic Project: https://aka.ms/mosaic

Video about MosAIc project: https://www.youtube.com/watch?v=y0iYKr9ayfE

GenStudio Project: https://gen.studio

Video about GenStudio Art Project: https://www.microsoft.com/en-us/ai/ai-lab-gen-studio

Article about Snow Leopard Trust Project: https://news.microsoft.com/transform/snow-leopard-selfies-ai-save-species/