DATA SCIENCE, BI & ANALYTICS

Datics.AI provides ML/AI services that are designed for data science teams requiring uncompromised flexibility for experimentation that understand power, monitoring, and automation for ML operationalization. These services provide a full view of the organization’s raw data sources and transformations using visual tools or a notebook. They can address high- complexity use cases

using fully configurable and extendable templates for deep learning, natural language processing, CPU/GPU hardware selection, model auto-tuning, live production, A/B testing, streaming prediction services, model life cycle management, multiple language support, composable ML Pipelines, continuous logging, CI/CD, and optimization.

We meet you wherever you are in your journey to become data-driven

From on-premise to the cloud – a range of benefits:

imageYour business...does not have a system in place to capture key data.
imageYour business...has access to loads of data but most goes unused.
imageYour business...wants to predict & prevent future risks based on past trends.
imageYour business...wishes to expand their domain by unlocking the power of data.

DATA ANALYTICS

Or analytics experts ask the right questions to understand your specific business requirements. We help you stimulate

business decisions through simple, clear, and interactive dashboards that give you a 360-degree view of the insights you need.

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Identify and track KPIs
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Get custom dashboards, data visuals & data sets
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Leverage drill-through ad-hoc reports
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Business intelligence & reporting
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Fraud detection & risk analytics

DATA SCIENCES

Data science technologies like Machine Learning, Artificial Intelligence, and Deep Learning are highly valuable for using historical data to create predictive data models.

It helps in customer satisfaction by knowing exactly what they want ahead of time, identify hidden opportunities from your enterprise data, and enable better decision making.

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Prepare data for modeling purposes
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Identify appropriate algorithms for use-cases
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Develop machine learning models
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Ranking & scoring data
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Training & retraining models