Users sifted through 4,000-word reports for answers. Now, AI generates specific summaries with citations instantly.
Switzerland's leading telecommunications provider operates a specialized banking think tank serving 30 of the country's major financial institutions with a library of over 3,500 trend reports.
Users seeking specific insights had to pore over multiple 4,000-word articles to find relevant information. Generic tools like ChatGPT lacked the...
“e.foresight has over 3,500 documents about trends in the banking industry in its library, with more being added each day. MongoDB Atlas enables us to store and search all that information and create something relevant to a specific request.”
Swisscom's Market research is part of this use case:
Telecommunications and IT services provider for residential and business customers.
Multi-cloud developer data platform for building and scaling applications.
Assisted Swisscom with a month of testing for its Gen AI platform alongside MongoDB.
Related implementations across industries and use cases
Manual keyword searches missed hidden funds. AI now matches strategic docs to grants and drafts proposals automatically.
Keyword search missed context in 1M+ assets. Now, vector analysis runs directly at the source—launching hybrid search in 18 weeks.
Analysts stitched insights from scattered PDFs. AI now retrieves buried data instantly, cutting memo creation from 2 days to 0.5.
Keyword search missed context in 1M+ assets. Now, vector analysis runs directly at the source—launching hybrid search in 18 weeks.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Users sifted through 4,000-word reports for answers. Now, AI generates specific summaries with citations instantly.
Switzerland's leading telecommunications provider operates a specialized banking think tank serving 30 of the country's major financial institutions with a library of over 3,500 trend reports.
Users seeking specific insights had to pore over multiple 4,000-word articles to find relevant information. Generic tools like ChatGPT lacked the...
“e.foresight has over 3,500 documents about trends in the banking industry in its library, with more being added each day. MongoDB Atlas enables us to store and search all that information and create something relevant to a specific request.”
Swisscom's Market research is part of this use case:
Telecommunications and IT services provider for residential and business customers.
Multi-cloud developer data platform for building and scaling applications.
Assisted Swisscom with a month of testing for its Gen AI platform alongside MongoDB.
Related implementations across industries and use cases
Manual keyword searches missed hidden funds. AI now matches strategic docs to grants and drafts proposals automatically.
Keyword search missed context in 1M+ assets. Now, vector analysis runs directly at the source—launching hybrid search in 18 weeks.
Analysts stitched insights from scattered PDFs. AI now retrieves buried data instantly, cutting memo creation from 2 days to 0.5.
Keyword search missed context in 1M+ assets. Now, vector analysis runs directly at the source—launching hybrid search in 18 weeks.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Complex approvals delayed digital services for 74M customers. Now, business teams use low-code tools to launch specialized AI agents.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.