AI Data Engineer
AI Data Engineer
LitenAI supports uploading packet files in the pcap format, storing all packets in its Smart Lake. For demonstration purposes, a table named ‘pcap’ has been created in the LogReason Smart Lake. It can ingest a large volume of packets and…
In this use case, the customer owns an expensive MRI machine that requires regular servicing or repairs. LitenAI assists technicians through a conversational interface, providing expert information sourced from ingested manuals and log data. By consolidating all data into its…
Our customer initially struggled to obtain effective technical answers using generic LLM tools, as the responses were too broad and failed to address their specific issues. With our solution, we helped them ingest their data into LitenAI. Leveraging LitenAI AI…
In this use case, the customer maps a hardware design onto an FPGA. LitenAI assists with design, architecture, and debugging flow issues. It consolidates manuals, debug information, support data, and logs into its Smart Data Lake, enabling intelligent searches and…
At many companies, resolving customer issues can be a time-consuming process. Delays often arise from waiting for responses or scheduling debugging sessions with experts. This impacts customer service level agreements and frustrates both support engineers and customers. LitenAI is an…
Our customers’ support operations generate vast amounts of data, including knowledge documents and structured data like machine logs. LitenAI Smart Lake securely stores this data, scaling efficiently to handle petabyte-level volumes at a competitive cost. The stored data is fully…
Introduction Contact us to get the latest docker image.All data is local and accessible only to the user. LitenAI does not collect any data from user. Installation Steps Prepare Your Environment Load the Docker Image docker load < litenai.v0.0.<version>.tar.gz docker image…