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From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. For companies investing in data science, realizing the return on these investments requires embedding AI deeply into business processes.
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We also want to thank all of the data industry groups that have recognized our DataKitchen DataOps Platform and Transformation Advisory Services throughout the year. DBTA’s 100 Companies That Matter Most in Data. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).
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Data-driven companies are more profitable than their competitors and outperform them with regards to the acquiring and retaining of customers [Morris18]. Understanding DataDriven “Data-driven company” is […]. Understanding DataDriven “Data-driven company” is […].
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When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].
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Not only are traditional financial services companies using data and technology to change the game, a plethora of “FinTech” startups are using digital products to dislodge traditional players. He shares his insight, expertise, and experiences in helping financial services firm become data-driven. This podcast features Peter Ku.
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