Combining data exchange with generative AI enables banks to manage data more efficiently. This synergy promotes more personalized banking experiences while meeting the trust, legality and data accuracy requirements expected by their clients and stakeholders. Because the marketing sector faces the same challenges, Artefact has built a use case for improving persona creation, utilizing IBM’s Watsonx.ai platform powered by generative AI.

In this article we explain the challenges of ID reconciliation and demonstrate our approach to create a unified profile ID in Customer Data Platform, specifically Treasure Data. Data was gathered from an offline Data Warehouse and online web site tracking.

At the "AI for Climate" networking event held on December 6, 2023, at COP28 in the UAE, Artefact brought together a diverse audience. The event provided a platform for participants to connect, collaborate, and engage in dynamic discussions surrounding climate challenges and potential solutions.

As we reflect on the insights shared during the ‘Snowday’ event on November 1st and 2nd, a cascade of exciting revelations about the future of Snowflake awaits us. This article dives into the noteworthy data science features unveiled during the event, shedding light on the innovation and advancements that took center stage.