The list is star-studded, with Peter Till, Adam D'Angelo (Facebook's first CTO, Quora founder), Eric Cantor with a deep political background, and KT zu Guttenberg, Jack Dangermond (father of digital maps). ), Barry Sternlicht (Founder of Starwood Group), Pete Briger (Founder of Fortress Investment, Fort Valley Investment Group), Naval Ravikant (CEO and co-founder of AngelList, investing in many well-known technology companies including Uber, Twitter, Yammer, etc.) ), Nicolas Berggruen and other investors.
SafeGraph was founded in 2016 to create a large database for machine learning to accelerate machine learning and artificial intelligence.
Just like human beings read past literature books, sort out knowledge, and sum up laws, and use them as a reference to make the next decision. This database is like a library built for artificial intelligence. Machines can be searched, read, analyzed, Combine the available data to predict the future.
The capital market can blow the concept of artificial intelligence into a flower, but it cannot be overlooked that the current technology is still very rough.
Borrowing data scientist Monica Roati,
“We ridiculed that the phone's automatic spelling function often differed from our original intention by a hundred thousand miles. We ridiculed the GPS system to locate the restaurant we wanted to be more than 1,000 kilometers away. But this is depressing: if we now have the easiest Problems cannot be solved. How can we allow artificial intelligence to improve the quality of human life in the future?"
To fundamentally improve the ability of machine learning, mass data is the key.
Google is currently the world's top artificial intelligence company, but Peter Norvig, the head of its search engine, also admits that their algorithms are not among the best in the world. They have more data than others.
For example, Google search engine saw 10 million YouTube videos to learn how to identify "cats." Microsoft researchers Michele Banko and Eric Brill found that even the worst algorithms, if they receive massive data that grow exponentially, will change to become top intelligent algorithms.
Google saw 10 million videos to recognize "cats." Picture source/medium. Com
However, it is difficult for companies to compete with giants such as Google and Facebook. With more start-ups financing, it is also necessary to talk to hundreds of companies about cooperation and data. This process may take a great deal of energy and for several years.
Even with enough data, they have to face the challenges of data management.
First of all, the data storage, data model, data analysis format, and database infrastructure must be built up. They must be usable, and they must be error-free. After that, data cleaning is also required. Not all data is directly available. Most of them are disorganized, incomprehensible, inaccessible, and even missing.
The smartest group of people in the field of artificial intelligence wants to create products and applications that can truly promote the development of human society, such as unmanned systems, such as systems that predict the world economy, such as super medical diagnostic systems. However, data that is well-formed and suitable for analysis does not fall from the sky. Currently, they spend 80% of their time collecting historical data.
Microsoft researchers found that the accuracy of the algorithm increases with the amount of data. Image source/ucrel. Lancs. Ac. Uk
All of this has been successfully resolved. Immediately, they have to deal with the data regulators and have been subjected to ethical torture by the government and the public on data privacy protection issues.
This is a huge waste of resources and time. Then again, I don't know where we can see the true innovation of artificial intelligence.
SafeGraph appears at this time. They want to dial in all data (democratizing access to data) to lower the data threshold.
The company’s chief executive officer, Auren Hoffman, said, “Collecting past data and forecasting future trends are two completely different skills. To predict the future, you don’t need to be proficient in the former.â€
SafeGraph has positioned itself as a data collection and management company, and other companies can rent their data, free up time, and concentrate on conducting truly valuable research.
Its first product is a geospatial data platform that serves urban planners, retailers, academic researchers, marketers, and investors, enabling them to understand the trajectories of human social activities.
Hoffman described Series A financing as "unconventional financing of unconventional companies." He said, "Most companies will not raise $16 million in the first round, and will not introduce more than 100 independent investors and one top VC, but we are not a traditional company." In the A round of financing, The introduction of 100 independent investors is unusual. From a management point of view, this is likely to be a nightmare. However, Hoffman believes that many of these investors are from the advertising industry, or his previous company, LiveRamp. The advice of these industry veterans is precious to the future development of SafeGraph.
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