The emergence of Artificial Intelligence (AI) technologies and the growth in big data has opened up novel and exciting digital transformation opportunities. Yet, very few companies have been successful in adopting and exploiting the full potential of AI and so gain competitive edge. One of the biggest barriers to this is the shortage of ‘industry suitable’ AI skills, followed by additional barriers such as unclear starting point, AI hype, information overload, fear of unknown, software and hardware complexities, potentially huge financial investment without clear ROI etc.
IntelliumAI, a company based in south west of UK has developed a solution to address these challenges and accelerate adoption of AI both in large OEMs as well as SMEs. Leveraging their expertise in high value manufacturing industry as well as cutting-edge AI technologies, IntelliumAI has developed a cloud-based enterprise AI platform called ‘AiBoost®’ to accelerate the adoption of AI in industry. The platform aims to create ‘citizen data scientists’ within businesses by giving AI ‘power to people’. This enables users with wide range of skill levels to get started on the AI journey in a governed, automated and scalable manner.
Some of the main features of AiBoost® platform are; ‘AI Workbench’: A virtual workbench to standardise and automate end to end AI workflow covering model training, evaluation, inspection and prediction, ‘Rules Factory’: An intelligent algorithm to generate easy to understand rules and insights from large volumes of data and ‘Explainable AI’: A framework for robust, fair and transparent AI to build trust and confidence in the AI based automated decision-making process.
SMEs are especially poised to benefit from the AiBoost® platform as it abstracts the software and hardware intricacies from the end users and allowing them to focus on their core expertise. This results in significant productivity gains at a substantially lower financial investment. Typical advantages of the AiBoost® platform include; accelerated product design cycles, faster manufacturing maturity, reduced manufacturing cost, lower operational costs, increased productivity and faster time to market.