Automating Machine Learning Operations

Implementing and executing successful artificial intelligence (AI) systems for production requires a robust, streamlined framework. Machine Learning Operations (MLOps) provides this framework, addressing inherent complexities within the AI model lifecycle. Automating MLOps processes further increases the efficiency, reliability, and value of AI models in production environments. This white paper dives into the challenges of production

Modern Data Platforms for Life Sciences

This whitepaper explores how the life sciences industry can benefit from deploying a modern data platform to leverage the power of data marketplaces for streamlined drug development and improve patient outcomes. We discuss in detail, the architecture, compliance requirements, and best practices for effectively integrating external data sources to accelerate innovation and reduce costs.

Advancing Digital Innovation in Life Sciences

Life Sciences companies hold vast amounts of complex data that power everything from drug research and development to customer interactions. Managing these assets and providing timely access to information leads to valuable insights and informed decisions. In an era of digital transformation, AI-powered data management and governance are essential to unlocking the true potential of

Healthcare Data Platforms for Advanced Analytics

Healthcare Data Ecosystem

Our AI-Powered data platforms and advanced analytics frameworks for the healthcare industry utilize data from on-premises or cloud applications. They are based on dependable and thoroughly curated data pipeline for data science, machine learning, and advanced analytics applications. Our platforms and frameworks can be leveraged to implement intelligent interactive dashboards, which aid healthcare organizations in

Enhancing Physician Engagement in Clinical Trials

Recruiting patients to participate in a clinical trial is one of those exciting and nerve-racking phases of drug development. Finding the necessary patients to participate is drug trials is critically important. That’s where clinical trial recruitment comes in, with a mission to acquire enough diverse people with the relevant diseases and demographics to ensure the

Modern FSI Data Platform for Advanced Analytics

CTI builds Modern Intelligent Data Platforms (IDPs) and advanced analytic frameworks for financial services organizations architected to include innovative data engineering features to ensure data accuracy, security, compliance, scalability, and, most importantly, to enable advanced analytics. This whitepaper discusses the necessary components of our frameworks and data platforms for Financial Services. It details the essential

Governed Data Lake as a Service

data visualization, advanced visualizations,

We introduce a new model for data governance, new capabilities for interacting with the data lake, and a new playbook for IT, business engineers, and business leaders to make it happen. This collective framework – a Governed Data Lake – has emerged from our work over the years leveraging data to improve the business performance


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