Blog Tags: Artificial Intelligence
A Pharma Leader’s Guide to Driving Effective Drug Launches with Commercial Analytics
Learn how pharma leaders can leverage Tiger Analytics’ Commercial Analytics engine to successfully launch new drugs in the market through enhanced data-driven insights and decision-making.
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Why India-Targeted AI Matters: Exploring Opportunities and Challenges
The scope for AI-focused innovation is tremendous, given India’s status as one of the fastest-growing economies with the second-largest population globally. Explore the challenges and opportunities for AI in India.
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Data-Driven Disruption? How Analytics is Shifting Gears in the Auto Market
The presence of legacy systems, regulatory compliance issues and sudden growth of the BEV/PHEV market are all challenges the automotive industry must face. Explore how Analytics can help future-proof their growth plans.
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When Opportunity Calls: Unlocking the Power of Analytics in the BPO Industry
The BPO industry has embraced analytics to optimize profitability, efficiency, and customer satisfaction. This blog delves into the specifics of data utilization, unique challenges, and key business areas where analytics can make a difference.
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Consulting with Integrity: ‘Responsible AI’ Principles for Consultants
Third-party AI consulting firms engaged in multiple stages of AI development must point out any ethical red flags to their clients at the right time. This article delves into the importance of a structured ethical AI development process.
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Ringing in the Future: How Advanced Analytics is Transforming the Telecom industry
Explore how Analytics is helping the Telecom industry uncover growth opportunities for customer acquisition, while simultaneously growing the value of existing customers.
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Data Science Strategies for Effective Process System Maintenance
Industry understanding of managing planned maintenance is fairly mature. This article focuses on how Data Science can impact unplanned maintenance, which demands a differentiated approach to build insight and understanding around the process and subsystems.
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Defining Financial Ethics: Transparency and Fairness in Financial Institutions’ use of AI and ML
While time, cost, and efficiency have seen drastic improvement thanks to AI/ML, concerns over transparency, accountability, and inclusivity prevail. This article provides important insight into how financial institutions can maintain a sense of clarity and inclusiveness.
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Revolutionizing SMB Insurance with AI-led Underwriting Data Prefill Solutions
US SMBs often struggle with complex and time-consuming insurance processes, leading to underinsurance. Tiger Analytics’ AWS-powered prefill solution offers a customizable, accurate, and cost-saving approach. With 95% data accuracy, a 90% fill rate, and potential $10M annual savings, insurers can streamline underwriting, boost risk assessment, and gain a competitive edge.
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Waste No More: Making a Difference with Tiger Analytics’ Data-Driven Solution for a Greener Tomorrow
Improper commercial waste management devastates the environment, necessitating adherence to waste management protocols. Tiger Analytics’ solution for a waste management firm enhanced accuracy, efficiency, and compliance, promoting sustainable practices.
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