In a world increasingly dominated by artificial intelligence (AI) and the promise of groundbreaking applications like ChatGPT, enterprises are seeking concrete ways to harness AI’s potential for tangible benefits. Through our extensive collaborations with leading technology consulting firms and direct interactions with businesses, we’ve pinpointed 10 Natural Language Processing (NLP) and generative AI use cases that not only resolve longstanding organizational challenges but are also exceptionally well-suited for AI solutions, given today’s cutting-edge technology.
Financial Research Augmentation
Accelerate equity research by generating initial drafts of research reports with summaries and key findings from thousands of files. This empowers financial services firms to streamline their research processes, ensuring faster and more efficient results.
Dialog Analysis and Text Classification
Summarize critical themes from call transcripts and other documents, enabling sentiment analysis of customer interactions. This helps companies promptly identify pressing issues and enhances both external and internal communication.
Sales Productivity Enhancement
Extract insights from numerous call transcripts to assess sales call effectiveness, aiding sales managers in providing feedback and making more accurate sales forecasts.
Contract and Document Analysis
Automate the extraction of key terms and values from contracts and documents. This significantly reduces manual labor and enhances operational efficiency, ensuring consistency with business policies.
Information Retrieval Excellence
Employ semantic search techniques to swiftly find and summarize valuable insights from vast troves of unstructured data. Semantic search revolutionizes knowledge management, making organizational information accessible to all members.
Streamlining Regulatory Controls
Utilize AI to evaluate processes in relation to new laws and changing regulations. This enables companies to gain a comprehensive understanding of regulatory impacts, mitigating risks and inefficiencies in a dynamic regulatory environment.
Technical Support Optimization
Employ Generative AI to enhance technical documentation and quickly locate answers to support inquiries. This low-hanging fruit can boost the effectiveness of chatbots and human technicians.
Investigation and Discovery Acceleration
Utilize vector-based semantic search across extensive document databases to efficiently identify key terms. AI-powered investigation and discovery tools streamline processes, making them faster, more comprehensive, and highly accurate.
Compliance and Risk Management
Produce evidence-based reports for compliance reviews and regulatory filings. Ensuring fact-based content generated by generative AI bolsters confidence and meets internal compliance and regulatory requirements.
ESG Analysis for Informed Decision-Making
Assess a company’s environmental, social, and governance (ESG) attributes by analyzing disclosures and news articles. This use case is invaluable for financial services firms evaluating ESG positioning and any company wishing to gauge its sustainability efforts.
These NLP generative AI use cases represent powerful tools for enterprises seeking to optimize their operations, gain insights, and remain competitive in an evolving business landscape. By embracing AI-driven solutions, companies can harness the potential of generative AI to drive innovation, improve efficiency, and achieve significant positive impacts on their bottom line.
