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- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
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- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
AI-Powered Recruitment at Talkpush: Seamless Experience for Candidates and Recruiters
內容大綱
The case describes the development of artificial intelligence (AI) enabled recruitment automation software Talkpush and how it leveraged the technology of open application programming interface (API) to address changes in consumer's communication preferences, and create a software as a service (SaaS) business. In 2021, Talkpush was handling 12 million hiring conversations per annum, forming one of the largest conversational databases in recruitment. It applied speech recognition to convert audio to text, and recognized over 45,000 "intents" through natural language processing (NLP). Recognizing the vast amount of data-voice, text, and images-that could be mined for business insights or used as training data for machine learning, Talkpush's founder Max Ambruster was eager to look for a strategy to extract value from the company's growing data assets.