Oracle held its CloudWorld conference last week. There weren’t any CDP-specific announcements but they did announce their next-generation Fusion Data Intelligence Platform, which includes comprehensive data models, prescriptive AI models, interactive analytics, and applications leveraging all the above. They also added guided campaigns for marketing and sales and pretrained large language models for marketing, sales, and service applications.
There’s probably no limit to Amazon’s greed – because capitalism – but there are constraints as governments regulate BigTech more aggressively and, just maybe, the free market works its wonders. Amazon cited “seller sentiment related to the fee” in its statement pulling back from its planned 2% fee on sellers who don’t use its Prime fulfillment services. But looming antitrust cases likely had something to do with it.
Fear of losing your job to AI is never far from the surface. This study from job site Indeed puts marketing in the top 20% (9th of 47) of jobs that generative AI can most easily perform. It may seem odd that jobs like driving, heathcare, and manufacturing are deemed least at risk, but remember this is specifically about generative AI, not all kinds of automation.
Amperity has launched Lakehouse CDP, which delivers CDP functions within “lakehouse” data stores including Snowflake and Databricks. Amperity tools for data modeling, data quality, identity resolution, generative AI, segmentation, and performance measurement will send all results to a company’s own lakehouse rather than a separate Amperity-managed database. Modules can be used independently but the real benefit here is that Amperity is one of the few “composable” CDP vendors who offer a complete set of pre-integrated CDP functions.