In this solution, we offer a novel approach to sustainable finance by combining NLP techniques and news analytics to extract key strategic ESG initiatives and learn companies' commitments to corporate responsibility
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Updated
Apr 3, 2024 - Python
In this solution, we offer a novel approach to sustainable finance by combining NLP techniques and news analytics to extract key strategic ESG initiatives and learn companies' commitments to corporate responsibility
Translating text attributes (like name, address, phone number) into quantifiable numerical representations Training ML models to determine if these numerical labels form a match Scoring the confidence of each match
Unlocking the Power of Health Data With a Modern Data Lakehouse
Time series knowledge graphs for cybersecurity
Ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases
Use Databricks to improve the Claims Management process for faster claims settlement, lower claims processing costs and quicker identification of possible fraud
IOC matching for incident responders, threat hunters, detection engineers, and security engineers.
Help augment diagnostic workflows with this Databricks Solution Accelerator for pathology image analysis. Now you can rapidly process thousands of whole slide images in minutes and use machine learning to automate the detection of metastasis.
Genome-wide association studies identify genetic variations associated with a target disease or trait. Researchers and clinicians can use this information to better detect, treat and prevent chronic health conditions. This Solution Accelerator notebook builds on top of Glow
Databricks and John Snow Labs Solution Accelerator for Medicare Risk Adjustment automates the extraction of undiagnosed member conditions from unstructured clinical notes with NLP models, improving downstream reimbursements.
Shows how banks can modernize their risk management practices by back-testing, aggregating and scaling simulations by using a unified approach to data analytics with the Lakehouse.
Leverage the Databricks Solution Accelerator for DNS analytics to accelerate time to detection and response across petabytes of data. Tap into DNS traffic logs, enrich streaming threat intelligence, and apply advanced analytics to detect DNS abnormalities and prevent malicious attacks.
From FHIR ingestion to patient outcomes analysis
Connect the impact of marketing and your ad spend to sales. Efficiently pinpoint the impact of various revenue-generating marketing activities to understand what works best. Focus on the best-performing channels to optimize media mix and drive revenue.
Overall Equipment Effectiveness: Performant and Scalable End-to-End Equipment Monitoring
Preempt fraud with rule-based patterns and select ML algorithms for reliable fraud detection. Use anomaly detection and fraud prediction to respond to bad actors rapidly.
Equity Beta Calculation and CAPM
Digital twins are created using data derived from sensors (often IoT or IIoT) that are attached to or embedded in the original object. This data provides both structural and operational views of what happens to the object in real time, allowing engineers to monitor systems and model systems dynamics.
Our joint Solution Accelerator with John Snow Labs automates the detection of sensitive information contained within unstructured data using NLP models for healthcare. Extracted data is stored within the Lakehouse, where teams can use the pre-trained models to easily remove, obfuscate or mask data for downstream analytics at massive scale.
To ensure ongoing drug safety, pharma companies need to monitor and report adverse drug events post-market launch. This accelerator extracts, processes and analyzes adverse drug events from real-world text data using NLP
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