Warning: Shane does talk about some of his early career working in labs doing experiments with animals, so if you want to skip this detail, please fast forward to 1:30.

New for 2022, I will be exploring a number of examples of AI Art using a range of generative algorithms to achieve the creation of AI Art. In this episode I discuss with Data Scientist Shane Neeley, who has himself experimented with generative algorithms to contribute sections of his books. I recorded this episode towards the end of last year, but it seems even more relevant than ever for 2022.

AI Art take many forms, and in future episodes I will explore other artistic mediums that AI can contribute. However this episode, and Shane's experience has been with text generation.

Shane is an experienced Data Scientist with a demonstrated history of working in the software industry. Skilled in many aspects of biomedical and clinical application development. Well rounded machine learning background that includes aspects of natural language processing, document classification, sentiment analysis and computer vision. Strong engineering professional who graduated from Rice University.

Shane also give some great insights and advice on how to get started in Data Science and build a career in AI and Machine Learning. He also gives some guidance on how to get started with generative algorithms.

You can see Shane's linkedin profile here: https://www.linkedin.com/in/neeley1/ and visit his website at https://www.shaneneeley.com

In future episodes, I will be exploring other forms of AI Art, from Music, Images, Videos and Films. I will also look at how these technologies can also be applied more into the world of Science, Innovation & Invention.

Denis Rothman (linkedin, amazon) is an Artificial Intelligence Expert, inventor, designer, and full-stack developer of 3 cutting-edge artificial intelligence solutions that he has been innovating using Python AI/ML/DL, Tensorflow, IBM Watson, AWS(Amazon), IBM Q, Azure, Google Cloud. He is also author of the following AI books:

• Author of Artificial Intelligence by Example, 2nd Edition,2020, Packt (available on Amazon)
• Author of Hands-On Explainable AI (XAI) with Python, 2020, Packt (available on Amazon)
• Author of Transformers for Natural Language Processing, 2021, Packt (available on Amazon)

We had a conversation rooted in his two latest books, Explainable AI and Transformers for NLP, but we end up talking about a number of related and unrelated topics.

To launch the fourth series I am delighted to announce the first episode: Fireside Conversation with Michael Wignall, Azure Business Lead at Microsoft UK about building a data driven organisation.

Michael Wignall is currently the Azure Business Lead at Microsoft UK and has been with Microsoft for 13 years, having a range of roles, from technology solutions leading all the way to CTO of Microsoft UK. Michael comes with vast experience and knowledge of both Microsoft, but also how data and analytics is helping to drive the performance of their customers. He covers everything within Azure, from the core technologies, to data platforms, IoT, Quantum, Mesh, VR & AR.

For inspiration for the conversation, I used three key topics covered in the recent eBook by Microsoft, entitled “BUILDING A DATA-DRIVEN ORGANISATION - How analytics can give you a competitive edge”. Specifically, disruptive business models, scaling AI culture, and improving decision making throughout an organisation.