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  • Industries

    Pharma Analytics: Optimizing the Pharmaceutical Value Chain with Big Data Analytics

    The Pharmaceutical industry, traditionally, has been slow to adopt cutting-edge technologies. A complicated supply chain, a plethora of government compliances and regulations, tight profit margins, and burgeoning competition have been significant reasons hindering the switch to Pharma Analytics. But now, the pandemic has increased these obstacles and has more or less forced pharma companies to transform […]

  • Industries

    Intelligent Automation for Insurance Business Models

    Many industries are seeing incredible growth due to new automation technology and shifting customer expectations. Unfortunately, the insurance industry has been slower to benefit from these breakthroughs. Today we have “born-in-tech” insurance companies that intelligently and efficiently integrate automation and intelligent technologies into their operational and administrative processes. In this blog, we will be discussing […]

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    Appvance IQ: Test Automation using Artificial Intelligence

    Appvance IQ is one of the test automation tools, and it has some setting up techniques to prepare or create test cases or test scripts or test content or use cases in numerous ways. We can produce the scripts for functional testing, compatibility testing, performance, and load testing, synthetic API Automation, etc. 1.1 Appvance Overview […]

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    Blockchain in Healthcare: Opportunities, Use Cases and Life Science Solutions

    The blockchain is a decentralized network of nodes storing the same data. When someone wishes to update the data on one node, it must be approved by the other nodes in the network. As a result, it is challenging to fabricate information in a blockchain-based system, making it an ideal solution for securing sensitive data. […]

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    Healthcare Digitization: The Importance of Health Stack Digitization

    Healthcare digitization is an important agenda item for numerous countries globally. The COVID-19 pandemic has helped stoke the need to accelerate digital transformation initiatives in healthcare and the patient experience. And even though there have been many advances in healthcare and medical technology…there is still a lot that needs to be accomplished in digital transformations […]

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    Intelligent Production: Quality Assurance practices that save Money & Effort

    The common vision that most organizations have Quality Assurance is that their investment in terms of money and effort will be repaid through the improvement in the quality of the end product. They hope that in the long run, the maintenance cost will be lowered, which in turn would lead to greater profitability. That’s a […]

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    Why Digital Transformation is essential for Business growth

    Digital Transformation refers to the adoption of digital operations and tools to reach strategic business goals. It encompasses everything that is involved in the business of an IT company right from internal processes to customer interactions. Whether it is a small business or a large enterprise, digital transformation is an absolute necessity in the modern technological era.

  • Industries

    Role of AI and ML in Insurance Fraud Detection

    Insurance frauds have been in existence ever since the inception of the concept of insurance. False claims and incorrect statements in subscriptions cause the insurance companies to lose several millions of dollars every year. An FBI report states that the total value of insurance fraud is approximated to be more than $40 billion per year. The loss on fraudulent insurance claims last year reached $34 billion in the U.S alone.

  • Industries

    Estimating Unpaid claims using Expected claims Technique in Insurance

    The expected claim method is usually used by Insurers when entering new lines of business or new territories. This method is more commonly used in lines of business with longer emergency patterns ad settlements like Medical Negligence, Workmen compensations, Product liability, etc.

  • Industries

    Virtual Reality Assisted Learning in Healthcare

    Advancements in medical devices, diagnostic methods, treatment procedures, and medications contribute to better patient outcomes and healthier lives. But the training system has not advanced neck to neck when compared to the innovations in the medical field. Teaching surgeons poorly or not teaching them enough about these complex procedures and technologies will prove to be damaging for those who go under their knife. Complications would arise from those very innovations that were intended to bring benefits.