Strategy for machine learning products in CMS Wire
I spoke with Kaya Ismail of CMS Wire about the need for large data sets and real customer problems to drive successful machine learning (ML) products for his coverage of Hubspot's acquisition of Kemvi.
This was originally posted on July 27, 2017.
I spoke with Kaya Ismail of CMS Wire about the need for large data sets and real customer problems to drive successful machine learning (ML) products for his coverage of Hubspot's acquisition of Kemvi. Here's an excerpt:
Holly Hester-Reilly of H2R Product Science believes HubSpot's acquisition of Kemvi is a, “smart move for both teams.”Hester-Reilly continued, “[By] combining DeepGraph's algorithm and process for processing publicly available data with HubSpot's data on real sales looks like a great opportunity to develop real-world machine learning solutions to solve real problems for HubSpot's sales customers.
Check out the full piece over at CMS Wire for more details on why Hubspot's acquisition of Kemvi is exciting news for artificial intelligence, machine learning, and big data product practitioners.
HubSpot Broadens AI Reach With Kemvi Acquisition
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