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Merck Life Sciences banks on RPA to streamline regulatory compliance

CIO

The firms’ trade compliance teams must not only engage with all these processes but ensure they are aligned with ever-increasing regulations, which can differ notably from country to country. Although non-compliance with regulations can attract exorbitant fines, many pharma companies still depend on manual process for these value chains.

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Beyond the hype: Key components of an effective AI policy

CIO

Companies need to establish clear guidelines for how its data is collected, stored and used, and ensure compliance with data protection regulations like GDPR in the EU, CCPA in California, LGPD in Brazil, PIPL in China and AI regulations such as EU AI Act. Identify gaps related to ethics, transparency, risk and compliance.

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Auditing IT resources can enhance your ESG programs

Capgemini

The Corporate Sustainability Due Diligence Directive (CSDDD), or CS-Triple-D, is aimed at larger EU enterprises, and will be gradually rolled out, with a compliance deadline starting in July 2027. Across the US, meeting ESG rules also requires a company-wide commitment to change.

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Funding Is Still Flowing Strong To Water-Focused Startups

Crunchbase News

Groundwater supplies worldwide are under serious threat due to population growth, industrial development, overuse, climate change and poor water management. The startup offers software and digital sampling kits for water providers to oversee safety and compliance, and to manage wastewater monitoring programs.

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Enable Transparent Tracking with NextGen Technologies for Cold Chain Logistics

Trigent

For the range of supplies labeled as perishables, particularly pharmaceuticals and food (produces), quality expires with time as they maintain chemical reactions, which can mostly be alleviated with lower temperatures. Also, over $161 billion worth of losses were reported in 2010 due to food waste.

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Clinical Decision Support Systems: How They Improve Care and Cut Costs

Altexsoft

Though MYCIN outperformed medical staff in evaluation accuracy, it was never brought into practice — partially, because of slow performance, but mainly due to the ethical and legal issues. Due to drawbacks mentioned, modern CDSSs are primarily knowledge-based. Key providers of clinical decision support software.

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Unlocking the Potential of Clinical NLP: A Comprehensive Overview

John Snow Labs

Identification of personal and clinical information such as date, doctor, hospital, ID number, medical record, patient name, age, profession, organization, state, city, country, street, username, zip code, phone number in clinical documents. Extracting drugs, chemicals and abbreviations. Mapping healthcare codes between taxonomies.