IS A.I. GETTING TOO COMPLICATED?


We sit and chat with Vincent Gosselin, CEO of the Taipy company, and ask, is it all getting just too confusing these days?  


You can look at “data” in two ways. You and I, as perhaps disinterested voyeurs, casual passers-by – can take a look at things we didn’t know about ourselves or search on this or that, and generally speaking, it is simple enough. The good people at Microsoft and Apple have made it so.  

It’s only when you get “under the hood”, so to say, you start to work on the whole aspect of providing coherent data for whatever market you are in, that you begin to see the entire confusion and blank faces, on the part of so many tech executives when looking for the right future path, particularly in our current world of A.I – and its equally dangerous brother, Cyber  Security.


When just a few weeks ago, some 200 Delegates crowded into a conference in the City area of central London to discuss the enlightening topic of “Embarking On a Data Odyssey – How  Generative AI is Set to Revolutionise Data Management”, – you know you’re in trouble. Ask any two Heads of Data about what is the optimum avenue of technology that they should employ for their business – and you will get two different answers.


Vincent Gosselin looks at me across the screen. There is a sort of academic hesitation as he  responds to my suggestions.  


“Yes,” he says, “it was a gradual realization that we needed to make AI easier, more accessible”

The birth of Taipy 3 years ago, based on the Python software platform, was a series of stepping stones, both an understanding that for the smaller or medium-sized business, AI was hard work – but also that the same thought process was relevant for the larger corporate, that providing a simpler and wider and more flexible approach, made for faster development and a more commercial end-product.


The key bridge of Taipy, and its message at the heart of its own web pages – is that AI can be a process based on low code that any businessman can undertake. It is a technical discussion in that the benefits of Taipy are its delivery of serious improvements in how you can use a common standard Python base, – but create something that reflects your own business aims. The website talks about “building web applications in minutes” but also quickly goes deeper to mention  “additional libraries” and “GUI Interfaces”.  


And there is a common misapprehension that the larger corporate, the big banks and so on – will  already have everything sorted out already. Taipy’s experience is that this is not always the case.


“We regularly see divisions of large companies struggling with their overall process and pipeline,  who need to rethink their vision”, Vincent continues.


What is clear is that AI is going to continue to be with us, and there still need to be additional refinements and ease-of-use opportunities.
Including and adopting a more graphic approach is becoming a necessary next step. Taipy is launching its anticipated “Taipy Designer” upgrade at the end of April, allowing nonprogrammers to create user-friendly web interfaces effortlessly for AI and data-based projects. You can read more about the current and new Taipy Designer at: https://dub.sh/5Z9aAIr.


And if you want to discover this tool in avant-premiere, familiarise yourself with the technology so far, you might join their introductory webinar: https://dub.sh/073NTk9.

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