Feel free to use some of the datasets below to help the problem statements:
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Retail & Consumer Goods (RCG) |
Merge customer, inventory and POS data to optimize the customer experience
In-store or online agents and employees at retailers can get a single view of the customer and inventory with recommendations to provide better real-time customer service, support, and guidance in-store or online. Empowering human agents with generative AI-enabled tools like chatbots or portals can provide a better customer experience, increase the share of wallet and increase customer lifetime value. |
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Financial Services |
Analyze public and private data to make better investment decisions
Asset managers can leverage news analytics such as GDELT to better understand trends and geopolitical events globally that may affect their investment portfolios and decisions. |
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Healthcare |
Increase the efficiency of healthcare operations
The estimated potential savings from waste reduction in healthcare ranges anywhere from $191 billion to $286 billion. Medical coding and billing are highly manual, medical transcription costs are expensive, clinical documentation is burdensome, and with manual processing, there is a risk of medication errors. Help us address this inefficiency in healthcare that has a material impact on staff productivity, cost reduction and even on patients. John Snow Labs - Social Determinants of Health (SDOH) |
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Manufacturing & Energy |
Improve productivity of field service agents
Field service engineers are often challenged with accessing tons of documents that are intertwined and are long and complicated. Having an LLM or context-aware Q&A bot will significantly reduce the time required to diagnose the problem and will boost efficiencies. The challenge that manufacturers face is how to build and incorporate data from proprietary documents and internal knowledge bases into LLMs. |
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Communications, Media, & Entertainment |
Maximize audience experience
Generative AI chatbots enable customers to better self-serve, reducing the burden on human customer support agents. A similar generative AI chatbot can be internally facing, empowering human support agents with enhanced customer insights and the ability to query using natural language and increasing the throughput and efficacy of agents solving customer support queries. |