Day 1

In today’s rapidly evolving landscape, the creative possibilities of applying generative AI in artistic endeavors are undeniable. However, as we look to the future, the synergy between Generative AI and foundational models in business demands a grander vision. The symbiotic relationship between AI and business should aim for higher standards, focusing on trustworthiness, security and adaptability. In the pursuit of this elevated standard, WatsonX emerges as a pioneering force, bridging the worlds of Generative AI and business. This innovative platform is set to revolutionize the way organizations harness the power of AI, ensuring it becomes a driving force for positive change. Let’s create something that changes everything for business with WatsonX

As practitioners in the Software Industry, we are used to adapting to new technologies and emerging trends. New practices, methodologies, tools, architecture, technology stacks, programming languages, operating systems, etc. are just some portions of the ever-changing landscape that we need to keep up with. None, however, are as disruptive as AI potentially is, whether as a tool that we leverage, or as part of solutions and products that we create.
The industry is moving towards leveraging AI to enhance software development activities. The reason for the move is because of the technology’s strong potential for generating content. Software code, in particular, is really just content and lends itself well to being written by a generative application of AI. In addition, there are some common issues or situations in code that can be addressed through repeatable, reusable templates. These templates are what are known as software design patterns. AI excels at identifying and creating patterns.
With the recent advancements in AI and its ability to write code for us, are these software design patterns even necessary then? Is there value in continuing to leverage them, learning them, or even improving their implementation? These are some of the questions that we will try to answer as we explore the use of design patterns in this day and age of AI.

AI systems are often complex and the details of their processing is not know to the end user. There is a field of AI called XAI or explainable AI which aims for users to be able to understand how AI-based systems come up with their results. This all leads to better quality systems for AI.