Домой United States USA — IT Transforming Healthcare and Supply Chains with AI: Abhik Choudhury's Data-Driven Impact

Transforming Healthcare and Supply Chains with AI: Abhik Choudhury's Data-Driven Impact

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As data continues to grow in volume and complexity, professionals like Abhik will play an increasingly vital role in shaping how businesses operate
In today’s data-driven landscape, professionals who can harness the power of information are driving innovation across industries. For instance, according to a recent report by McKinsey, companies that leverage data and analytics in their decision-making processes are 23 times more likely to acquire customers and 19 times more likely to be profitable. This highlights how critical data has become in shaping business strategies and outcomes.
Abhik Choudhury, a Managing Consultant in Advanced Analytics at IBM Corporation, is among those at the forefront of this shift. With a focus on artificial intelligence (AI) and machine learning (ML), Choudhury applies these technologies to tackle pressing challenges in sectors like healthcare and distribution.
Pioneering Analytics in Healthcare and Pharmaceuticals
The issue of controlled substance monitoring, particularly opioids, has been a major challenge in healthcare and pharmaceuticals. The U.S. opioid crisis alone has resulted in over 500,000 overdose deaths in the past two decades, highlighting the need for more effective monitoring and regulation. Traditional methods often fall short in detecting diversion and misuse within complex supply chains. However, predictive models powered by AI and ML are transforming this landscape by analyzing vast amounts of data to identify patterns and anomalies that could indicate potential abuse or regulatory non-compliance.
Abhik’s work in healthcare and pharmaceuticals has been groundbreaking, particularly in controlled substance monitoring. His sophisticated predictive models, using advanced AI/ML techniques, have significantly enhanced the ability to track and regulate opioids and other controlled substances throughout the supply chain. By integrating data from multiple sources, he has created a comprehensive system that identifies high-risk prescribers and potential diversion points.

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