利用aws和生成式人工智能解开客户情绪并更快地洞察

CONTENTS Overview1Challenges1Planning3Project7Tech stack9Expected results10Conclusion10 OVERVIEW Boston-based Luminoso Technologies operates in the competitive business intelligence industry. Luminoso offers innovative solutionsto Fortune 500 businesses that help them better understand their customer sentiments. The organization wanted to use large languagemodels (LLMs) and Generative AI (Gen AI) to enhance their users’ ability to efficiently identify actionable insights when analyzing largevolumes of unstructured customer data. The objective of this project was to create a solution that accurately interpreted customer feed-back and provided real-time insights in less time. Solving the company’s business challenge of reducing time-to-insight and improvingcustomer satisfaction through customized engagements were expected to have several positive impacts on Luminoso’s organization. CHALLENGES Luminoso sifts through an extremely high volume of customerdata, often from complex data sources. Traditional methodswere time-consuming and often failed to capture the full rangeof the organization’s customer sentiments. Also, the data camein various languages from diverse sources, which increasedthe complexity of the analysis. To address these challenges andmeet Luminoso’s business needs, SoftServe and Luminoso’scloud partner, Amazon Web Services (AWS),focused on: User experience designCreate an intuitive user interface that effectively guides users through the analysis process. This demandeda deep understanding of user behavior and needs. Thischallenge included simplifying complex functionalitieswithout compromising on the depth of analysis theplatform provides. Data privacy and securityWith the processing of sensitive data, such as customer Technical complexityEnhance the platform's capabilities to shorten the time feedback and call center transcripts, enhance the plat-form to include reinforcing data security measuresto protect user privacy. from data upload to insight extraction, which involveddeveloping and integrating sophisticated algorithms. Thisrequired advanced expertise in machine learning (ML),natural language processing (NLP), and data engineering. Integration with existing workflowsUsers may already have established workflows. The plat- form needed to seamlessly integrate with these, whichrequired developing custom solutions or ensuringcompatibility with a range of other business tools. ScalabilityEnsure that the platform handled an increased volume of data without performance degradation. This was es-sential. The challenge lay in scaling the infrastructureand algorithms to maintain speed and reliability. PLANNING To undertake Luminoso’s needs, the company planned to useartificial intelligence (AI) and natural language understandingthrough collaboration with SoftServe and AWS for guided dataexploration through an AI-powered assistant. The strategyrequired the development of an advanced analytics platformcapable of processing large volumes of data in multiple languag-es. The key players during this phase were Luminoso’s datascientists and engineers, who tirelessly worked to build andoptimize this platform. Specific goals included: Platform enhancement Luminoso aimed to upgrade the existing capabilitiesof its cloud-based text analytics platform. The focuswas to integrate more advanced features that enablein-depth natural language understanding. User guidance improvementLuminoso wanted to improve the guidance provided to users within the platform. This goal focused onuser experience (UX) design, to make the platformmore intuitive and user-friendly. The envisioned enhancements included, but were notlimited to: Intuitive user interfaces that guide the user throughthe data analysis process with greater ease. Efficiency in insight acquisitionA key goal was to reduce the time it took for users to go from uploading data to acquiring actionable insights.This involved streamlining the data analysis processand making it more efficient. Improved algorithms for faster processing and analysisof large datasets. Enhanced visualization tools that allow users to quicklyunderstand and act upon the insights extracted fromtheir data. Increase in user engagement and satisfactionBy enhancing the platform's capabilities and user expe-rience, Luminoso intended to increase user engagement,satisfaction, and, ultimately, retention. The basic goal of these upgrades was to empower users to applythe full potential of the platform, making complex text analyticsmore accessible and actionable. This will cement Luminoso’sposition as a leader in the text analytics market. Market competitivenessBy offering these upgraded features and improved efficiency, Luminoso also looked to maintain or enhanceits competitive edge in the market. Solving the business challenge of reducing the time-to-insightand improving customer satisfaction through customizedengagements were expected to have several positive impactson Lumi