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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning Blog

Regulatory compliance By integrating the extracted insights and recommendations into clinical trial management systems and EHRs, this approach facilitates compliance with regulatory requirements for data capture, adverse event reporting, and trial monitoring. Solution overview The following diagram illustrates the solution architecture.

LLM 104
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Understanding Machine Learning Challenges: Insights for Professionals

Pickl AI

Introduction: The Reality of Machine Learning Consider a healthcare organisation that implemented a Machine Learning model to predict patient outcomes based on historical data. However, once deployed in a real-world setting, its performance plummeted due to data quality issues and unforeseen biases.

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AI in Data Governance: Enhancing Data Integrity and Security

ODSC - Open Data Science

Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security. In this post, let’s understand the growing role of AI in data governance, making it more dynamic, efficient, and secure. You can connect with him on LinkedIn.

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10 Best Data Engineering Books [Beginners to Advanced]

Pickl AI

Data Processing: Performing computations, aggregations, and other data operations to generate valuable insights from the data. Data Integration: Combining data from multiple sources to create a unified view for analysis and decision-making.

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A Deep Dive into Association Rule Mining

Pickl AI

Introduction In the age of big data, where information flows like a relentless river, the ability to extract meaningful insights is paramount. Association rule mining (ARM) emerges as a powerful tool in this data-driven landscape, uncovering hidden patterns and relationships between seemingly disparate pieces of information.

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Effective Project Management for Data Science: From Scoping to Ethical Deployment

ODSC - Open Data Science

The advent of big data, affordable computing power, and advanced machine learning algorithms has fueled explosive growth in data science across industries. However, research shows that up to 85% of data science projects fail to move beyond proofs of concept to full-scale deployment.

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What can you do with an MBA in Business Analysis? 

Pickl AI

Job roles span from Data Analyst to Chief Data Officer, each contributing significantly to organisational success. Challenges such as technological shifts and ethical dilemmas require continuous learning and adaptability. They enforce policies, ensuring data quality, security, and compliance.