Azure Cloud Engineer
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Architect, Technical Lead
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Application Developer, Data Modelng
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Mitigating Noise in Decision-Making: Insights from Kahneman and the Role of Seenity Platform in Standardizing Risk Assessment Processes
The Seenity platform was inspired by Daniel Kahneman, a Nobel Prize winner in Economics. By enhancing consistency, accuracy, and profitability in decision-making and underwriting methods, the system enables the isolation of human influences. Daniel Kahneman, is an Israeli American psychologist and economist known for his pioneering work in hedonics, the psychology of judgment and decision-making, […]
Synergizing Prevention and IoT: The Interdependent Path to Risk Management in Insurance
Integrating advanced architecture centered on big data and utilizing agents that continuously index and prepare ongoing risk features, the Seenity Platform stands at the forefront of this paradigm shift. The platform’s design is intricately built to handle the vast influx of data from IoT devices, enabling real-time analysis and the generation of actionable insights. This […]
Seenity’s Innovation: A Unique Data Pipeline Transforming Traffic Risk Assessment
Risk assessment is an intricate endeavor that hinges on the recognition that risks typically arise from the convergence of diverse events at a singular moment. Understanding this dynamic is crucial. It prompts the inquiry into how risks can be evaluated using continuously updated real-world data. Though challenging, this task is achievable. For precise risk assessments, […]
Seenity’s Innovative Approach: Leveraging Connection Graphs for Proactive Risk Assessment
Our perspective on the importance of connection graphs for extracting insights, especially in the context of risk assessment, is enlightening and underscores the critical nature of relationships and connections in data analysis. The principles of Seenity reflect a sophisticated approach to managing and interpreting interconnected data through connection graphs. Let’s delve into each principle to […]
Ensuring Reliability in Risk Assessment: The Critical Role of Model Monitoring, Updates, and Anomaly Detection
Monitoring and updating risk assessment models are crucial, emphasizing that even a well-designed model can fail to perform as expected over time without vigilant oversight. This is a critical insight in the field of data science, particularly in applications like risk assessment where the stakes are high.These principles have guided Seenity in developing a unified […]
Unlocking Insights: The Role of Graphs in Risk Assessment
The remarkable capacity to derive insights from a graph is invaluable for risk assessment, primarily because when a risk materializes, it unfolds through a series of interconnected events that culminate at a specific point in time. Philosophically, an individual entity alone may not perceive the risk until it becomes part of a larger network of […]
Ensuring secure, continuous and accessible information flow in a data-based world
The Seenity system handles the ability to transfer data to the model. Only for the model. After its construction in a methodological way, the flow of the data to perform predication is a critical step in the quality of the results. That’s why Seenity sets itself the challenge to transport the data safely and allow […]
