Synthesis helps a Multinational Banking and Financial Services conglomerate migrate to the cloud
Synthesis Staff
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Utilise stream processing to build reactive applications. The ability to sense and react to things that are happening in the real world.
Imagine reacting on the move, such as having prompt messages alerting you where you can top your tank as you travel.
Ingest events from one or more live streams and react to incoming events by triggering computations, state updates, or external actions.
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TelematicAI
Measurement-rich telematic applications
Power intelligent self-discovery of behavioural patterns arising from the human use of instrumented vehicles that is sensitive to individual behavioural patterns and deviations from it – flagging those specific deviations to trigger custom workflows in the fleet owner/operator/manager.
TelematicAI lives on the event stream and constructs rich machine learning features for a representation of the many measurements that the telematic device makes to track behaviours and enable specific business functions.
TelematicAI has been built in an abstract fashion, and there is no hard requirement for a specific sensor: it works just fine if there is no g-force measurement or even if it isn’t a telematic packet at all—it could be a transaction on a financial system too.
At the heart of TelematicAI is a true form of AI, that is based on representation learning and it can retrain as more data comes through the event stream.
Why Telematic AI?
Customised scenario-based workflows.
Allocate resources to unique events that cannot be mechanically processed, such as those events that require a call or conversation to resolve. For all types of events, the system can signal a workflow specific to each event. ROI is achieved through the improved processing time of telematic events, allowing the business to handle increased event volumes without scaling the operations team.
Assess
Asses your business case for going to cloud.
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Get a custom-designed migration plan.
Migrate & Modernize
Execute your plan using agile methodologies.
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Iterate and modernize your operating model.
See how we partner with our customers to solve problems and create impact with leading technologies.
Developing a streaming solution working against a self-managed Kafka cluster, can be awkward and time consuming, largely due to security requirements and configuration red-tape. It’s beneficial to use Confluent Cloud in the early stages to get quick progress. Creating the cluster in Confluent Cloud is super easy and allows you to concentrate on defining your Connect sources and sinks as well as fleshing out the streaming topology on your laptop. It also shows the client how easy it is to swap out the self-managed Kafka cluster with Confluent Cloud.
Once you’re ready to migrate your workloads, contact us to find out what offers we have available to ensure a smooth transition
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