Use case
An artificial intelligence solution to analyze different data types and sources
Data is on the rise quicker than ever, and companies need to make sure that they are well-equipped to manage and extract relevant information across different types and sources of data
What do we solve?
The exponential growth in data requires more accurate and deeper insights. Companies are being overwhelmed by manual data organization and retrieval, which in turn makes it harder to exploit meaningful data to its full capacity. Graph analytics make this process much easier by reducing time and effort. It reveals hidden relationships and advanced patterns between entities, such as customers, products, operations, and devices, across big databases. Companies can use these graph analytics to uncover significant, influential, and vital insights more efficiently.
How do we solve it?
dezzai Semantic AI platform will:
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Apply algorithms to uncover patterns and insights
Represent the data in customized dashboards for descriptive, prescriptive, and predictive analytics.
WHAT do we deliver
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Descriptive, prescriptive, and predictive analytics service to uncover advanced patterns, clusters, and relations in large databases. This is delivered through customized dashboards to support decision-making. The insights gathered from graph analytics can deliver a deeper understanding of data to positively impact business opportunities.
Benefits of applying Artificial Intelligence
Use cases
Drug repurposing and drug efficacy
Patient outcome and treatment improvement
Social network analysis
Fake news and fraud detection
Resource management
Food traceability
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