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Developing the Future: Apple Concentrates on Machine Learning, Acquires Tuplejump

Tim Cook cares about three things – people, strategy and lastly execution. This keeps the company together; it pushes them forward every day. The other things come from these three things, all tech giants follow this. Amazing people are every company’s asset, but Apple regularly polishes them. Skills are not something fixed, it should increase constantly.

Developing the Future: Apple Concentrates on Machine Learning, Acquires Tuplejump

As far as strategy is concerned, Cook knows the future better than other CEOs. Machine learning will take them to their next goals, the team should have everyone. Experts are coming to Cupertino; Apple is welcoming them and backing their ideas. People should collaborate well with each other; big things are yet to come.

Apple’s powerful strategy is product‐oriented; they plan to build improved products. Tuplejump is now under Apple, it is great news for them. The firm stores user data and makes it available to other companies. Useful data is presented in a format that is familiar; machines do everything. A company can’t survive without data, presenting it is also vital. Tuplejump’s website was removed, Apple just took their expertise. Exact details of this new acquisition will not be given, the contract prevents that. Apple spends very little time in developing technology, small firms provide that to them.

The plans are secret; it can be used for any project. ‘Tuplejump’ had an office in India; a branch is also present in USA. They worked on various open source projects and Apple’s interest was concentrated on “FiloDB”. This information was the only thing that was disclosed, other things are in dark. This unique project did something extremely creative; the various concepts of machine learning were used. By mixing analytics and machine learning, complex data was simplified. They don’t have a direct use right now, but Apple knows the requirement. First Turi, then Tuplejump, Apple is behaving weirdly. Apple pencil uses something called “palm rejection”; machine learning can make that more advanced.

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