Specialty Analytics – Life Sciences & Healthcare Provider LensTM Study 2024
Onebridge and Marlabs understands that digital modernization requires a coordinated approach that consists of a comprehensive strategy for both execution and enablement. Our team brings the strategic thinking, the resources to execute the work, and the change management to ensure your success.
“[Onebridge and Marlabs] uses a combination of deep domain expertise and AI to drive transformation in accelerating drug discovery, optimizing clinical trials, driving patient outcomes and improving the supply chain for pharmaceutical and medical device clients.” - Manav Deep Sachdeva
“[Onebridge and Marlabs] uses its data strategy framework, encompassing Modern Analytics Platform (MAP), to build tailored advanced analytics and AI solutions across the life sciences value chain..." - ISG Provider Lens, Specialty Analytics Services - Life Sciences and Healthcare 2024
"[Onebridge and Marlabs] uses AI techniques to facilitate targeted research throughout the drug discovery and development process."
- ISG Provider Lens, Specialty Analytics Services - Life Sciences and Healthcare 2024
"[Onebridge and Marlabs] helps develop an intelligent rare disease registry and knowledge base and builds LLMs to improve early reporting and diagnosis of rare diseases."- ISG Provider Lens, Specialty Analytics Services - Life Sciences and Healthcare 2024
Onebridge and Marlabs has extensive experience leveraging the power of Al/ML to solve big real-world problems.
Getting Al off the ground is a challenge, our team enables organizations to test and validate Al use-cases effectively.
Many organizations don’t know where to start with Al. We help educate your teams and discover the best potential use-cases for Al for improved outcomes.
Onebridge and Marlabs has worked with large enterprise organizations to establish, staff & manage internal Al Center-of-Excellence teams to accelerate Al development and integration.
MAP (Modern Analytics Platform) is a data strategy framework developed to help enterprises fully realize the promise and power of data-driven decision intelligence. With experience, we learned that successful data initiatives require a holistic approach that encompasses people, processes, technology, and data.
MAP is a tested, proven, and customized road map designed to help you assess, plan, guide, and execute enterprise-level data strategy. It includes a series of accelerators and custom solutions that greatly shorten the time-to-value of any data-driven endeavor.
We use MAP as a guide for strategy, execution, and enablement throughout our partnerships so you have a clear understanding of where you stand and what you need to do next.
Using Onebridge’s advanced Similarity & Phonetics algorithms, Uniq offers a unified view of entities like customers, vendors, products, and patients, enabling well-informed decisions. In the process of getting certified by Databricks
Conceptualized on Scala and Apache Spark, ensures robust anonymization of sensitive data. It balances utility and privacy, adhering to best practices for transparent and customizable data governance.
The semantic data validation framework examines datasets used in visualization tools with unique algorithms and Python.It automatically profiles data, identifies anomalies, & pinpoints integrity issues in dashboards, enabling early detection of problems and straightforward validation of data reliability.
In tweaking Databricks and AWS, we enhance security and privacy measures, including masking and TLS, through encryption methods like Format Preserving Encryption. This fortifies data security and privacy beyond the native capabilities of the platforms, protecting against unauthorized access.
Data Ingestion Framework is a robust solution for versatile data management in enterprises. It supports multi-source extraction, flexible data formats (JSON and CSV), scheduled/on-demand data refresh, secure staging, and automatic schema change detection, ensuring seamless integration and efficient data management.
The Visualization Observability Platform tracks resource consumption using visualization metadata and logs, revealing usage patterns. lt provides insights into user behaviors, he ping stakeholders optimize investments and allocate resources precisely. In data visualization, this platform guides organizations toward afficient resource utilization and abundant insights.
Spark & Scala-based Data Quality Framework uses configurable, user-defined rules to profile data, ensuring accuracy and consistency. This framework enhances data quality by allowing tailored profiling criteria, aligning with specific data governance requirements for optimal insights and decision-making
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