Artificial Intelligence, Machine Learning, Deep Learning are the buzz words across the globe today. Businesses, as well as people, are trying to make out if it is simply hype or not. While there is hope there is also gloom somewhere, as far as AI is concerned. There is a lot of work to be done to ensure effective and valid deployment of AI solutions.
Today’s AI concern is Frameworks and toolsets to manage the entire lifecycle in an integrated manner to ensure dependable results - which is the burgeoning need for AI to move forward. In this discussion, we will be focussing on some of the important challenges faced with respect to resources, frameworks, tools, and techniques for implementing AI and also the direction it is trending towards.