CENTRALLY IS SHAPING THE FUTURE HELPING HUMANS + MACHINES REACH THEIR EXPONENTIAL MODEL
The right process, at the right time, at the right place: creating a Smart Factory means adopting an open and interconnected infrastructure that allows monitoring of all company process in real-time, supporting people actions and performances in the right way and at the right moment.
The Centrally SaaS modules work together to optimize processes (systems, departments, people, and information) through Machine Learning, Big Data, Real-time Predictive Analytics and IoT.
Thanks to our market-approved products, we help our clients to turn the new challenges posed by digital transformation in the Smart Manufacturing, Smart Banking, Fintech, Smart Agriculture and SmartCity fields.
Combining expertise in strategy and tech to create and execute robust M&A strategies that generate superior value.
We have learnt that to create value from M&A, companies must rigorously focus on the decisions and activities that underpin value creation and avoid being distracted by the nice-to-haves.
To do that, our experienced teams employ a rigorous process create value from Venture Capital, Private Syndication, Post-Merger Integration and Corporate Venture operations.
Gearbox failures have the highest associated cost of all wind turbine component failures. With machine learning technology our intelligent fog nodes consume data from available sensors in real-time, understand normal turbine operation in a high-dimensional space, predict the turbine’s normal response to external conditions and detects anomalies.
A missed opportunity to replace a $5,000 bearing can lead to a $250,000 failure.
Rake™ is the electronic performance support system (EPSS) of the Centrally Suite that combines Machine Learning with a Data Mining system to enhance the anti-fraud service of financial institutions. Rake™ can identify even the most sophisticated fraud and other forms of disruptive online behavior. Rake™ "sessionizes" web traffic, allowing web security professionals to drill down into individual web sessions and visitors, uses behavioral analytics to detect a variety of fraudulent activities including account takeover, fraudulent money movement, password guessing, credential harvesting, business logic abuse and improper site functionality.
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