AI & Machine Learning
In simple terms, Artificial Intelligence is the ability of an artificial system, like a computer, to exhibit human-like intelligence, like solving problems or giving answers to a question on its own. Machine Learning is a subset of artificial intelligence which explains that a system can learn from past collected data and models on its own and make any changes or upgrades to the system if deemed necessary.
Companies require machine learning services in order to identify and resolve any business issue or challenge before it escalates into something bigger. ML algorithms can monitor network behavior in such a way that they can detect anomalies as they happen and take the necessary preemptive measures.
Machine Learning as a Service, or MLaaS, is an umbrella term that encompasses a wide range of services executed by machine-learning tools included in Cloud Computing Services. These tools can help with data pre-processing, predictive analysis for various use cases, model training, tuning, and much more.
Some of the key features of AWS machine learning are:
- Get bespoke ML services for your business needs and expertise level.
- Developers can easily add AI to any application with plenty of pre-trained service options that offer computer vision, language analysis, speech, and chatbot practicality.
- AWS facilitates all the top ML frameworks along with Caffe2, Apache MXNet, and TensorFlow, so you’ll develop or bring any model you pick.
- AWS presents a wide range of computing options for inference and coaching with compute & memory-optimized cases, FPGAs, and GPU-based instances.
Agilisium’s AI and Machine Learning services will help you take more intelligent and data-driven business decisions so that you can improve your business performance. Our services are outcome and growth-oriented and enable you to automate processes, run predictive maintenance or optimize business procedures. Our state-of-the-art technologies and premium-grade tools will help you scale your organization.