If you think data issues are challenging today, just wait. Ocient finds that mere “big data” is being replaced by “hyperscale data”, which involves higher volumes and near-immediate analytics. Nearly all respondents (97%) expect data volumes to rise quickly in the next few years and 59% expect to move to a new data warehousing platform to handle the growth.
It’s hard to be strategic when you’re fighting fires every minute. Half the respondents to this Digibee survey say they’ve rebuilt six or more key integrations in the past twelve months and 48% say poor integrations have impeded innovation. But just 7% have a data integration strategy in place, even though 57% say it’s a top priority.
Amazon has acquired iRobot, the company whose Roomba vacuum revolutionized dust bunny clean up and holds a whopping 56.7% market share. It’s being called “the most dangerous, threatening acquisition” in Amazon’s history. No mean feat, given that just last week the company rocked the medical world with a $3.9B offer for One Medical and got called out a couple weeks before for its Ring security doorbell sharing doorstep data with police departments.
Unauthorized training data isn’t an existential threat to generative AI but it’s certainly a headache for users and developers alike. Most developers are trying to exclude materials that creators have explicitly labeled as unauthorized and citing “fair use” as justification for copying everything else. Getty Images has taken an opposite approach, building its gen AI tool only on materials that are explicitly licensed. It’s possible that tracing the provenance of training data will become a standard, similar to how organic food producers trace the origins of their ingredients.