The data of the past enables the actions of today
Predictive analytics allows for companies to forecast and prepare with higher degrees of certainty than traditional methodologies. AI-powered predictive analytics utilize machine learning (ML) and other cognitive techniques, such as neural networks, to predict future outcomes based on past behavior.
AI-powered predictive analytics utilize machine learning (ML) and other cognitive techniques, such as neural net to predict future outcomes based on past behavior. Part of a predictive asset maintenance system’s responsibility is to keep an operation running optimally.
Spanning various industries and applications, predictive analytics projects provide organizations a wide array of forensic and executive level statistical findings.
Collect data from all available sources. Depending on the needs of the enterprise or project, data types, scope, and size will vary.
Coupled with other business tools, such as robotic process automation, predictive analytics can allow for efficient and insightful report generation.
A way to process large amounts of data in real-time. This can be done using a stream pipeline, which is a series of operations that are applied on the same set of data. The main advantage of stream processing is that it takes advantage of the parallelism available in modern computers and CPUs.
An analytical database that stores and manages big data and is specially optimized for faster queries and rapid scalability.
Data will be ingested via event hubs, IoT hubs, etc.
“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”
Geoffrey Moore, Author and Consultant
Autonomous ships market is projected to reach 8.2 billion by 2030, at a CAGR of 9.6% during the forecast period.
Markets and Markets
Literally any business can incorporate the power and function of predictive analytics models. Product Perfect is a technology company that specializes in software development and technical consulting, offering a range of services that enable businesses to make informed decisions using big data, data mining, and pattern recognition, algorithm/model building, data analysis, data modeling, machine learning, and artificial intelligence. Our team of experts work with clients on solutions to meet their unique needs and requirements.
Senior consultants with previous experience with these types of projects can set the stage for a well-framed engagement.
A focused session on your specific software applications, platforms, or projects. Typically this includes technical resources from both sides.