socalTECH
JULY 17, 2017
Techstars Los Angeles has just named the ten companies that will be joining the startup accelerator for its 2017 class, saying its theme this year was "going long on LA and southern California". READ MORE>>.
TechCrunch LA
FEBRUARY 19, 2020
TRASH — using this machine learning-based video editing toolkit, users can quickly create and edit high-quality, short-form video. This class shows us that there’s no shortage of innovation at the intersection of creativity and technology, and we’re excited to be part of each company’s journey.”.
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socalTECH
OCTOBER 8, 2015
The Disney Accelerator , held its Demo Day for its second class on Thursday, showing off ten companies to a theater packed full of venture and angel investors. A number of the companies--showing off one huge advantage of being involved in a program run by Disney--announced deals with Disney properties to use their technology and products.
socalTECH
APRIL 10, 2019
One of the hottest sectors of the technology startup market today is the use of artificial intelligence, big data, and machine learning across many different sectors including finance. We worked with them to create a machine learning model for that line of business, which significantly outperforms traditional methods.
Berkonomics
MARCH 4, 2021
Artificial intelligence thirty-four years ago. I recall the introduction of artificial intelligence into the hotel reservation process, a “one-up” on the airline method of yield managing the price of airplane seats. For argument’s sake, let’s credit the iPhone with igniting an entire product class.
socalTECH
JULY 17, 2019
Techstars Los Angeles , one of the startup accelerators run by Techstars in Los Angeles, has announced its 2019 class. According to Techstars, ten companies were selected for the startup accelerator, which kicked off this week. The companies will have their Demo Day on October 15th.
Startup Professionals Musings
SEPTEMBER 30, 2018
Conventional thinking in business has long been that strategy decisions are made by humans, while the focus of automation and machine learning should be on execution. This is a new class of software that can adapt in real time to market changes. Apply machine-learning for real-time software decisions.
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