Posts Tagged ‘K. Krasnow Waterman’
There have been a slate of chief data officer appointments of late. It’s been particularly noticeable in the marketing space. Marketing communications firm Ogilvy & Mather, for example, in August made Todd Cullen its global chief data officer to push data-driven marketing to the next level, and a short while later marketing services provider Mindshare put Bob Ivins in the first CDO slot, reporting directly to its CEO, “to harness and act on consumer insights in real-time.”
But the trend extends beyond that arena. According to The Big Data Executive Survey 2013: The State of Big Data in the Large Corporate World, released this month by NewVantage Partners, it’s becoming commonplace for large corporations to define or consider new roles, such as establishing a chief data officer. Forty-eight percent of respondents to its survey said they have established or are considering that, and are implementing new processes and organizational structures to ensure successful business adoption.
How’s your Thanksgiving meal planning and prep going? Hopefully well, but some day, semantic web technologies might help it go even better.
A couple years back, K. Krasnow Waterman – visiting fellow at MIT who co-chaired its Linked Data Product Development Lab that has evolved into a course – organized a lecture on the topic of the business value of the semantic web. For her presentation, she focused on catering to a consumer application — that is, how the technology could add up to improving prepping a holiday dinner.
It was fun to do it then, Waterman says, and new developments like the integration of Siri into the iPhone could push the envelope even further, adding a voice-activated intelligent personal assistant to the mix.
She describes the vision of streamlining T-Day operations via the semantic web with the initial finding of recipes online. From there, apps could take the recipes a user has selected and extract as structured data various entities – i.e., the ingredients for a shopping list. After the app pulls the ingredient list, the cook-to-be could indicate what’s already in the house (e.g., flour, salt, pepper), so it’s only searching for what’s needed.