AI / ML
Although it may not be the best fit for all organisations , there is no doubt that the market is growing as research has found the RaaS market is set to grow by US $ 832.77mn from 2020 to 2024 .
H2O . ai ’ s Prashant Natarajan , Vice President of Strategy and Products , believes at AI-driven , self-learning RaaS solutions will be fueling the future of automation , he explains : “ We are seeing RaaS – encompassing data , AI , and workflows – becoming more attractive from an economic perspective for buyers ; specifically , the preference for using opex versus large capex . Secondly , RaaS is becoming popular as an option for many robotics equipment manufacturers and providers , allowing the buyers to get the economic efficiencies and pros ( and cons ) of other cloud computing models / solutions .”
“ RaaS can enable better user and customer experience , increased security , improved efficiency with respect to maintaining all your firmware by being able to push updates and manage the operations ,” he adds . “ Finally , RaaS allows you to properly use data at a very deep and granular model , and so go from siloed physical and software systems that do not take advantage of learning and scalability that happens across a distributed network to a much better , integrated model .”
Integrating a RaaS model with AI selflearning capabilities is essential as with more AI , automation becomes more widespread as customers are not limited by the cost
“ RaaS can enable better user and customer experience , increased security , improved efficiency with respect to maintaining all your firmware ”
PRASHANT NATARAJAN VICE PRESIDENT , STRATEGY AND PRODUCTS , H2O . AI .
pressures of investing in both traditional RaaS solutions , with automation products and platforms on top of that .
“ We have seen multiple times from our customers ’ experiences that the true operations and process learning can only be achieved by leveraging both machine learning and deep learning across business
46 August 2022