Interview with CTO Mady Mantha
In the latest instalment of our interviews speaking to leaders worldwide in tech, we’ve welcomed Mady Mantha, CTO and co-founder of Happypillar.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
AI
NeoLoad and ChatGPT
Artificial Intelligence (AI) is coming, whether we like it or not. It is likely to transform every aspect of what it means to be human and represents an existential opportunity – or potential threat – to everyone living and yet to be born. Hyperbole aside, ChatGPT software intelligence has been a hot news topic of late. While it has some limitations, to many of us it’s the first real glimpse of AI’s capabilities.
Questions around Transparency in AI models with Tom Davenport
Often the question around bias is raised whenever the conversation turns to AI. Tom Davenport, author of “Working with AI: Real Stories of Human-Machine Collaboration” points out that bias is not limited to AI, but also finds root in many human decision-makers as well. Actually, according to Tom, the bigger threat is ignoring that working with AI is going to increasingly be a part of our human work experience.
Built with BigQuery: How to accelerate data-centric AI development with Google Cloud and Snorkel AI
Built with BigQuery: How to Accelerate Data-Centric AI development with Google Cloud and Snorkel AI.
Top 6 AI-Powered Tools to Create Websites with an Edge
Artificial Intelligence has drastically changed the way we look at things today. What was previously possible only by human intervention can now be done with the help of AI. With AI making inroads into most industries, the world of website creation is not far behind. Many large e-commerce companies like Amazon are using AI technology to better understand their customers, provide product recommendations, and improve the user experience on their websites.
How to Optimize Huggingface Models for Production
Deploying models is becoming easier every day, especially thanks to excellent tutorials like Transformers-Deploy. It talks about how to convert and optimize a Hugging face model and deploy it on the Nvidia Triton inference server. Nvidia Triton is an exceptionally fast and solid tool and should be very high on the list when searching for ways to deploy a model. If you haven’t read the blogpost yet, do it now first, I will be referencing it quite a bit in this blogpost.
The Role of Artificial Intelligence in Agriculture
Artificial Intelligence mimics human cognitive behaviors and makes intelligent decisions in an automated fashion in various industries. It's well known that we are entering the golden era of AI. Some examples in the real world are the contributions from computer vision systems, self-driving cars, and robotic process automation. AI significantly impacts every domain, and every industry is looking to automate different jobs using intelligent frameworks.
11 - Reports
This video covers reports functionality in ClearML, which allows you to build custom reports using markdown and elements from the experiment manager. This tool can be used to summarise your work to colleagues, managers, professors or your future self, but it can also be used to create blogposts, slides and much more!
How AI & Low-code are Revolutionizing Test Automation: Use Cases and Benefits
Have you tried Googling ‘ChatGPT’ recently? It has been live for only 45 days and the volume of conversations happening about and around ChatGPT is enormous. While ChatGPT is not the topic of this blog today, its popularity has offered a solid ground to talk about the pervasiveness of AI.
How to practice responsible AI - Scott Zoldi
This episode features an interview with Scott Zoldi. He is the Chief Analytics Officer at FICO where he is responsible for the analytic development of FICO’s product and technology solutions. Scott is involved in developing new analytic products and applications, and has authored more than 100 patents. His current focus is on self-learning analytics to detect cyber security attacks. On this episode, Scott talks about how to attract and retain world-class data scientists, the importance of following a model governance process, and responsible AI.