Course5 SuperSearch

All enterprises are drowning in fragmented, unstructured, and structured data. Today, the unstructured and structured data split in any large enterprise is 80:20. The biggest challenge with unstructured data is the lack of meaningful metadata, an actionable knowledge graph, its multi-modality, disparate languages, and limited understanding of how to reveal meaningful insights out of this data and operationalize it.

In the last 12-18 months, the Generative AI wave has disrupted how insights are generated, narrated, and consumed across the organization. Thanks to companies like OpenAI and Microsoft, who are leading the race by enabling enterprises like Course5 to build bespoke generative AI experiences for Fortune 500 enterprises by leveraging the Azure Cognitive Services, Azure Functions, Data Fabric, and the power of Azure Stack Edge, which brings the compute, storage, and intelligence of Azure to the edge where the data is generated and collected. This has enabled us to deliver low-latency insights to our enterprise customers.

When it comes to structured data, which accounts for 20% of the overall data volume in the organization, much maturity has been attained in this domain in the last decade or so. Tools like Power BI and Tableau have democratized the insights revealed from this structured data and made it accessible to everyone in the org, either published via Portal, Web App, or Mobile App. Despite making a massive investment in setting up the data lakes, knowledge graphs, and building semantic data layers that can enable the bespoke dashboards, 100s and 1000s of custom dashboards by Business Functions, By Personas, and By Geos, the organizations are still struggling with how to make the insights more actionable, relevant, coherent, and neutral and make the consumption natural and on-demand.

• Summarize multiple documents at scale independent of their modality.
• Relevant, Coherent, and Neutral Insights with Trust-Building KPIs.
• Derivation of Key Topics, Themes, and Sentiments.
• Personalization of Narrated Insights by Personas.
• Localization of Narrated Insights.
• Keyword, Phrase, and Sentence searches
• An Opportunity to do a Deep-Dive conversationally by leveraging an AI Assistant (Chatbot)
• Ability to transform the insights into executive presentations.
• Download it in DOC, PDF, and TXT formats.
• Transform the generated summaries into Blog Posts, Articles, Newsletters, and Bing-Friendly Paid Ads.

Behind the scenes, we are leveraging Azure Blob Storage, Azure Kubernetes Service (AKS), and Docker Container Service to deploy the model as a service with REST API endpoints and leveraging Azure DevOps for Logging, Monitoring, Auditing, and creating opportunities for Fine-tuning the model regularly.

To learn more about how SuperSearch, along with the Azure Data and Cognitive AI stack, can bring value to your business, request a 2-week consulting engagement and explore the possibilities of doing a Proof-of-Concept for six weeks leveraging your enterprise data within your secured and scalable Azure data infrastructure.