Why Use ModelOps to Scale and Manage AI Initiatives for Businesses?
Artificial Intelligence, or AI, has slowly but steadily made inroads into our lives in the form of personal assistants to self-driving cars. Today, a plethora of software applications incorporate AI, machine learning, and deep learning to undertake various activities in disparate domains. These may include bioinformatics, document classification and processing, and understanding natural language, among others. AI-led digital assurance may include speech processing and image classification being applied to computer vision and robotics. AI has allowed the automation of repetitive tasks with minimal or zero human intervention. Although the potential of artificial intelligence is not lost on many, businesses often balk at implementing the same given the slim return on investment. Technology, even if thought of as enabling for businesses, does not yield suitable outcomes. For most organizations, leveraging AI ML solutions is largely focused on the delivery of analytical models. In fac...