The more I read about the entrepreneurial spirit fueling growth in the technology space the more I realize how much attention is centered on funding. Finding funds, finding angel investors, finding venture capitalists, finding money, etc. What I want to read about is how to find talent. How to attract software developers to your concept, how to attract people looking forward to starting a business and getting their hands dirty. I'm somewhat surprised there aren't more journalists dedicated to answering questions like these. You better believe that as soon as I find articles discussing recruiting talent I'll be posting them here! Stay tuned ...
If you read my previous post (about the article Marc Andreessen had in the WSJ about software taking over the world), then it should come as no surprise that I'm not particularly concerned about a new tech bubble. Yes, there are plenty of tech companies that won't survive for much longer. For example, many people know I'm not the biggest fan of Groupon. But, there are many other companies that are actually generating revenue and humming right along. There may be a bit of frothiness in the market, but that shouldn't taint the valid players in the tech space.
I strongly encourage anyone and everyone to read the above referenced article. It's fantastic.
This is incredible. And an incredible example of big data in use. The Santa Cruz police department has loaded eight years of crime data into a massive database. The data is geographically specific to 500 foot by 500 foot portions of Santa Cruz. Working in conjunction with academia and technologists they have developed software to analyze the past in order to predict criminal behavior in the future. Every morning police officers in Santa Cruz are given a list of times and locations where they should patrol. And, so far, the program has helped reduce crime. It seems fairly straightforward - if a particular block in a rough neighborhood often experiences high rates of crime on Tuesday's and Thursday's between the hours of 8PM and 11PM then you should add police at that location and time. Using a big data set and statistics seems to be paying off for the Santa Cruz police department.
I just joined the waiting list for this service. If you've got five minutes, watch the video and then head over to the website: http://www.vizualize.me. The service is intriguing given my interest in data visualization. This company will take something as simple as your LinkedIn profile and then create a compelling infographic from your personal information. The company is aiming to reinvent the resume. Take the data and tell a compelling story with visualization. I love when smart people think of smart things to do with really old delivery mechanisms (i.e. the personal resume). Looking forward to experimenting with the service and to creating my very own infographic.
The Weather Channel is teaming up with Twitter to bring a more social element to weather reporting. This is a great example of crowd sourcing information for the purposes of telling a more detailed and compelling story. The Weather Channel is setting up 220 local Twitter feeds for area specific Tweet-Weather information. They will also curate the Twitter-sphere to bring pictures, videos, and extensive information about weather as it is happening in the field. This has great potential when it comes to relaying information specific to severe weather. I like how they've figured out a way to harness already existing information (there are anywhere from 200 to 500 Tweets per minute about the weather) to bring a better and bigger picture about the weather. Bravo.
So there I was, walking back to my car after a run at Edwin Warner Park in Nashville, TN last Sunday with my sister and my friend Justin, only to find a busted out window and a purse missing.
Of course, I stood there for five full minutes with my mouth hanging wide open. Ridiculous side note: I…
This is a great example of using visuals to tell a compelling story from a large set of data. The author of this video took United States Post Office expansion data and then charted the map and timeline of the expansion. The video looks great and tells a great story.