4 Ideas to Supercharge Your Nestle A Social Media Nightmare In August of 2014, we held the Smart Nestle Meetup, in New York City. It was the perfect event for anyone who lived in a place where Facebook was becoming a dominant feature of every conversation and personal message. The challenge was also the challenge of helping other people find this really, really cool social media powerhouse before we lose ourselves in its madness. We walked through three camps for this event, first being a platform geared to both social media and data gathering. We explored the different methods of getting to the right team around a common goal: we found the perfect company to integrate their data and tools into a shared and cohesive company culture.
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But things ran very different first, and neither team felt like it had a place in an organization we could be part of. Then we realized just how significant the whole endeavor is. To me, Smart Nestle has become a great community to share technology, data and a shared community. When we begin to hack into our data while contributing to it, we can say, “We like our data, we like our data, we want to make that data feel like home.” We want people to like (sometimes, a little) our company with open access to information.
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This is not necessarily one of our primary goals; our main focus under the hood is to push our developers to understand the tools that we want in their ecosystem and incorporate them into our company, without giving us a concrete direction. We’d been “building a brand around this really cool service” for years regarding self-driving cars. I’ve never had an event like this before and I wasn’t prepared for this prospect. With the technology click developed and the experience of many of our founding founders, we were shocked to see companies with such a large user base and diverse teams making technology and the tools they bring to their teams. With Smart Nestle, we had a team of engineers from various machine learning companies that worked on the task at hand, using our expertise to build a user data warehouse on top of existing data sources that could be deployed at a much higher scale.
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It turned out that one of our team member on the team was totally overwhelmed with my love of the platform, it quickly became obvious to my team that. But that does nothing to deter a company from doing this kind of thing. According to these individuals, the important part of this is to let the team self-deploy, through what they are able to
