Key benefits:
~20X
Database scaling
35%
Improvement in maintenance cycle time
60%
Improvement in average handling time
10X
Improvement in data coverage
Scraping data off the web with artful intelligence
Sophia Almeida, AVP at a Europe-based investment research firm, constantly had data on her mind. Wanting to expand her data acquisition coverage, she was hamstrung by the lack of technological innovation within the firm – specifically the dependency on manual processes used by her teams to collect market information. Read this case study to discover how a partnership with Infosys BPM brought in much needed artificial intelligence to scrape information off the web, delivering benefits that exceeded all of Sophia’s expectations.
Approach summary:
- Built multiple proofs of concept
- Customised GPT models
- Automated data processing and validation
- Automated data publishing onto servers
- Instituted human-led validation post-deployment
~20X
Database scaling
35%
Improvement in maintenance cycle time
60%
Improvement in average handling time
10X
Improvement in data coverage
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