Artificial intelligence (AI) impact on business. By deploying the right AI technology, your business may gain an ability to save time, better inventory and delivery management and money by automating routine processes and tasks. Edge AI can help in business make faster business decisions based on outputs from cognitive technologies. Edge AI can help in
Why banks must reinvent themselves or extinction from digital transformation (DT). Regardless of where we live and whatever countries we mention, world is become digital economy and the more extensive digital infrastructure and online being used, the more efficiency it will be. From mobile banking application to online banking self service, it empower traditional bank
Transportation industry, from the very beginning, we had the taxi take care for the on call or on demand point to point transportation handling, beside established bus and train service provider. It start to change when “poll car” make it become mobile application and mass deployment and become today ride sharing application. It make the
World had moving toward digitalization and replace traditional industry and sector, digital economy become mainstream worldwide. From corporate and e-government digital transformation (DT), it become one of the mission critical infrastructure (MCI) regardless of country size, all will invest heavily to make sure at the national level maintain competitiveness in this national core competency. To
Edge AI. What means of Edge AI? It allows you to connect in real-time with your customer, no matter what their location is. It also lets real time operations including data creation, decision and action where milliseconds matter. The important of Edge AI. Edge computing is a distributed computing paradigm which brings computer data storage
Risk of Artificial Intelligence from recent aircraft disaster bring this issue into global headline. From the recent two aircraft disaster from Boeing 737 MAX, within 5 months, the latest and most advanced artificial intelligence (AI) backed aircraft. This trigger the global concern for the AI when use and deploy on the safety first industry and
Cognitive Predictive maintenance (CPdM) In Automotive is aiming to clearly identify vehicle maintenance issues before they occur. In line with the trend toward autonomous vehicle, by extracting data from repairs with vehicle sensor data, predictive data analytics can find some useful correlations that would be hard for humans to identify. Most 21st century “smart” cars
The oil and gas sector is a complex industry with challenging demands. Along with the fact that professionals and installations are operating in remote and hostile environments, it is becoming more and more expensive and difficult to extract energy. Business owners have been forced to look for opportunities to maximize investments, lower costs and mitigate
Cognitive Predictive Maintenance (CPdM) in Transportation is focusing on targeted servicing and monitoring. Against this background, transportation companies are looking for new and improved ways to reduce downtime and make the best possible use of available resources and also to reduce cost. Below is the reason why a Transport industrial need to use Cognitive Predictive
Since Tom Peter and Robert Waterman written and published In Search of Excellence in 1982. Those large firms with dominant positions in markets that were senescent or static in the past. Then the wave for Good to Great, and now in 2019, after globalisation, internet, digital economy and current digital transformation era. Market size alone