From elevating their retail strategy by maintaining uniform product descriptions, enhancing customer support with autonomous agents , developing virtual shopping assistants, simulating precise inventory data, tailoring personalized promotions, and more. Here’s how Retail players can leverage Generative AI all year round, for a higher return on investment.
Read MoreLearn 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.
Read MoreThe 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.
Read MoreThe 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.
Read MoreThe 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.
Read MoreThird-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.
Read MoreExplore how Analytics is helping the Telecom industry uncover growth opportunities for customer acquisition, while simultaneously growing the value of existing customers.
Read MoreIndustry 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.
Read MoreWhile 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.
Read MoreUS 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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