Deus Machina is a term that means “a god from the machine.” In this instance, “Machine” refers to a crane that held a god above a stage in ancient Greek drama. The playwright would usually introduce an actor playing God at the end of the play. From his elevated position on the crane, he would miraculously solve a dilemma and bring the plot to an end. Deus ex Machina in uk refers to the intervention of unlikely saviours or devices and surprising events that bring order and chaos back into order in quick and often amazing ways.
Machine learning today is doing the same thing. Machine learning is finding new and unexpected solutions to seemingly impossible problems. It’s generating insights that can change business outcomes like never before. Predictive analytics is making the impossible possible. It’s also allowing companies to move faster towards digital transformation.
Predictive Analytics Based on Present Results
What is machine learning? Machine learning is the digital processing of data – millions upon billions of data. It then runs predictive models that learn from the data and generates new data in real-time to predict future behaviour, outcomes, and trends. These “predictions” can help make your apps or devices smarter and more adaptable for you and the context in which you are using them.
Every day we experience the benefits of machine-learning intelligently applied to our lives, whether it is a recommendation engine used on an online shopping site or when your credit card transaction is automatically compared with a database to assist your bank in determining if there is fraud.
Simply Algorithmically
Optimization algorithms are the underlying technology that allows machine learning to be possible. These algorithms dynamically use data from sensors and intelligent devices. The algorithms must be able to detect, respond and adapt to changing conditions because they are subject to a wide range of variables.
Automobiles are a good example of this in our daily lives. They can automatically respond to external data, such as weather conditions, light, and objects outside. Machine learning applications for logistics, industrial automation and utilities, as well as security systems, can allow machines to communicate with each other. Continuous data analysis allows algorithms to evolve and adapt, so that system and machine performance can be continuously optimized.
Continuous Learning Creates Consistent Success
According to TDWI research, machine learning will be used by more than 50% of all companies in the next three years. Cisco customers have told me that the research is inaccurate, particularly for large data sets with high-quality data. Machine learning can create such value for users and corporations that it could transform entire industries.
Machine Learning Protects Machines From Risk
Cisco uses machine learning in many ways internally and for its customers. Security is one of the most critical areas. Malware is constantly evolving and increasing in severity. The network risk is high, with 50 billion devices connected to the Internet of Things (IoT). Analyzing network communications is one way to detect and stop malware.
Machine learning allows network traffic patterns to be analyzed to find the source. Cisco OpenDNS provides a great example. You can think of Pandora learning from your music preferences or Amazon learning from your shopping habits. Cloud-based OpenDNS continuously learns from new Internet activity to protect against malicious attacks. Its algorithms adapt to live events. OpenDNS does not reverse engineer malware but focuses on the human factor in attacks. OpenDNS builds machine learning systems that offer advanced threat protection during, after, and before an attack.
The God of the Machine Moves to the Factory Floor
Cisco has moved from the network floor to the factory floor by partnering with Mazak, a global leader in the design and manufacture of machine tools. It has more than one hundred models in turning and vertical machining centres.
Mazak wanted to know if there was a way that they could improve the machine efficiency of their customers. SmartBox, powered by Cisco Connected Manufacturing software was the answer. This solution allows real-time manufacturing data to be gathered from factory floors using embedded software on Cisco Industrial Ethernet 4000 switches.
