AI & Autonomous Systems
AI & Autonomous Systems
Recent advancements in Artificial Intelligence, powered by the Cloud have started revolutionizing Industrial Systems.
Industrial Systems evolution started with Mechanized Systems – manually operated Mechanical Systems powered by steam/electricity. It moved to Automated Systems powered by software, but the Digital Age will see the rise of Autonomous Systems powered by cloud based AI, that can sense, plan & act in real-time.
DRL (Deep Reinforcement Learning) wherein Systems learn by repeated practicing actions, in simulated/physical environments towards defined assessments/rewards and refine themselves to the most optimal state, are being deployed in many industries. The advancements in neural networks, compute infrastructure & algorithms have enabled DRL to be well-suited for complex/dynamic environments and are particularly well suited for simulating Industrial applications that have a proliferation of connected physical devices & sensors.
DRL brings with it important qualities for Autonomous Industrial Systems including extreme robust adaptability for control systems (in complex changing conditions), multiple or changing optimization goals (such as real-time changes in environment) & operator overload (real-time processing of millions of variables). In other words, DRL is particularly impactful in real-time, high scale, complex industrial use cases.
AI & Autonomous Systems
Recent advancements in Artificial Intelligence, powered by the Cloud have started revolutionizing Industrial Systems.
Industrial Systems evolution started with Mechanized Systems – manually operated Mechanical Systems powered by steam/electricity. It moved to Automated Systems powered by software, but the Digital Age will see the rise of Autonomous Systems powered by cloud based AI, that can sense, plan & act in real-time.
DRL (Deep Reinforcement Learning) wherein Systems learn by repeated practicing actions, in simulated/physical environments towards defined assessments/rewards and refine themselves to the most optimal state, are being deployed in many industries. The advancements in neural networks, compute infrastructure & algorithms have enabled DRL to be well-suited for complex/dynamic environments and are particularly well suited for simulating Industrial applications that have a proliferation of connected physical devices & sensors.
DRL brings with it important qualities for Autonomous Industrial Systems including extreme robust adaptability for control systems (in complex changing conditions), multiple or changing optimization goals (such as real-time changes in environment) & operator overload (real-time processing of millions of variables). In other words, DRL is particularly impactful in real-time, high scale, complex industrial use cases.
Autonomous Systems, powered by cheap cloud compute infra, can impact several domains including Motion Control, Process Control, Robotics, Calibration. Industries impacted could be as diverse as Discrete, Process Manufacturing, Energy, Utilities, Oil & Gas, Smart Factories, Buildings and Transportation.
AI & Autonomous Systems
Navigating these new possibilities, in the shortest possible time is a real challenge.
Optimations Trusted Digital Advisory can super-charge your AI & Autonomous Systems Transformation with unique resources like:
- Leading AI & Autonomous Systems Digital Transformation SMEs & Analysts.
- AI & Autonomous Systems Customer Experiences & Case Studies.
- AI & Autonomous Systems Technology Advisory (I-IoT, Edge, Edge/AI, 5G, ML, RPA and AI).
- Sprint Strategies to accelerate Time to Market (TTM) & Value (TTV).
AI & Autonomous Systems
Navigating these new possibilities, in the shortest possible time is a real challenge.
Optimations Trusted Digital Advisory can super-charge your AI & Autonomous Systems Transformation with unique resources like:
- Leading AI & Autonomous Systems Digital Transformation SMEs & Analysts.
- AI & Autonomous Systems Customer Experiences & Case Studies.
- AI & Autonomous Systems Technology Advisory (I-IoT, Edge, Edge/AI, 5G, ML, RPA and AI).
- Sprint Strategies to accelerate Time to Market (TTM) & Value (TTV).