Federated Learning: The Value of Taking a Decentralized Approach to Machine Learning in Healthcare
Federated learning (FL) is a decentralized approach to machine learning that enables organizations to collaborate […]
Our Insights
Data Governance Tools – Collibra vs Alation: Pros, Cons, & Recommendations
Organizations are challenged by vast amounts of data spread across various databases and repositories, located […]
Financial Data Transparency Act (FDTA): A New Era in Financial Reporting
The Federal Government’s passage of the Financial Data Transparency Act (FDTA) heralds a transformative shift […]
Navigating the 2024 Gartner Conference
Most conferences have a similar flavor to them: great talks, an opportunity to speak […]
The Case for Interpretable Machine Learning
There’s never been a better time to embrace interpretable machine learning methods than today. Analytica’s […]
Microsoft Power Platform & Microsoft Fabric Implementation
Analytica, an SBA Certified 8a small business, is leading the design, development, and operations and […]
Large Language Models Disrupt the Way We Work, But Not How You May Think
The internet is flooded with articles about large language models like ChatGPT, their potential, and […]
Federal Low-code and No-code Solutions
Implementing federal low-code and no-code solutions using platforms such as Appian, Microsoft Power Automate, and H2O AI to provide federal clients higher productivity with the ability to build applications quickly that are built once and run anywhere.
Federal Government Artificial Intelligence and Data Analytics
The Advanced Technology Academic Research Center (ATARC), a leading Government Private / Public Partnership, has a goal to accelerate the adoption of AI and data analytics best practices across government and industry that increase efficiency and reduce cost.
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