Big Data Meets Bike Pedals

mobike

Big data comes in many forms and continues to solidify its place as the world’s most precious resource. It is being gathered in virtually every digitized experience…including the growing bike rental economy in China.

Mobike, China’s next promising unicorn, is looking to map how you enjoy your leisure time on bicycles. With a new investment round totaling $300M USD, Mobike is quickly looking to expand its fleet and charge riders a nominal rental fee for access to what they do and when they do it.

They have recently unlocked a number of insights about behavior shifts on holidays and weekends and can use this data to predict where people will ride and generally at what time of day, with whom and how far….think local marketing in real time.

They can even map users as the y migrate from city to city in the region and their pedal behavior. They are taking all of this information and building a scalable Artificial Intelligence play that could scale to the likes of Uber like status.

 

 

Artificial Intelligence Is Beginning To Learn From It’s Own Memory

Artificial Intelligence isdownload reaching the exponential curve point at an accelerating space and before we know it, we could be faced with an “Ex Machina” era. To date, the systems have been designed to effectively learn and react to the inputs that are provided them, using algorithm’s to determine the best response (each time). The inputs are then optimized to bet better and therefore the responses get better. Basically they are as good as what you feed them.

Many firms today are looking to actually leap frog current generation platforms and design brain like thinking capabilities that truly allow the AI to get smarter based on previous memory and exercises…learning. Alphabet (Google’s Parent Company) has been investing in their DeepMind AI and believes they have made the first meaningful breakthrough. They have created the ability for the AI to remember past knowledge…meaning its remembers and learn on top of that memory.  So here’s how it played out. They took the AI and allowed it to learn how to play a 1980’s Atari video game, they then switch the game and the AI was smart enough to learn from Game 1 and apply leanings to Game 2.

More to come here…but hold onto your seats and your brains…you will need them to have discussions with machines soon enough.

 

Learn How To Translate Techie Jargon

Every want to sound like you know what you’re talking about? More importantly, ever want to understand what someone else is talking about? Well good news…there is a new learning tool to demystify what the complex terms like IP Address, Protocols and Flux Capacitor mean. It’s a new site called the Sideways Dictionary and it’s being brought to use by the world information organization engine, Google. It’s brilliant in its simplicity….it uses everyday analogies to explain jargon.

The site is apparently a collaboration between Google’s incubator company called JigSaw and the Washington Post and is simply designed to be an open source dictionary for all technology terms. For many it can be a blessing…we’ve all been there, hearing a term that was unfamiliar, and spending the entire time trying to tease out its meaning from the ongoing conversation.  This is increasingly complex as technology is creating its own language.

Simple example…”Encryption” is explained by the site as the process of sending a sealed envelope versus a post card. Unintended recipients cannot see the contents unless the crack the seal..known as the Encryption. Regardless of your technical acumen, you can certainly grasp the concept….well maybe if you are a young kid who has never seen a postcard.