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1. Deep Learning, Big Data and Artificial Intelligence

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Deep learning is a subset of machine learning, which in turn is a technology for the development of artificial intelligence (AI or AI). Since about 2006, deep learning has been considered by AI researchers to be the most promising approach of AI. All of the breakthroughs in the field of artificial intelligence, such as the victory over a human Go master by Google’s Deepmind team, have been achieved through deep learning.

KI: What will the future bring?
The development of AI special chips is still in its infancy. The reason why deep learning has become a useful method in the field of artificial intelligence is the fact that the hardware has become fast enough for many layers of artificial neural networks. Unlike the traditional PC, AI calculations require a variety of special chips that can handle large amounts of data in parallel.

With the AI booming for many areas from voice assistants to autonomous driving, software and AI hardware technology is likely to make further big leaps in the coming years. In the first half of 2017 alone, CB’s major venture capitalists invested $ 1.8 billion in AI technology, according to CB Insights. That’s already more than in 2016 as a whole, which was already a record.

Deep learning is a subset of machine learning, which in turn is a technology for the development of artificial intelligence (AI or AI). All of the breakthroughs in the field of artificial intelligence, such as the victory over a human Go master by Google’s Deepmind team, have been achieved through deep learning.

In the case of unsupervised learning, the algorithm is usually fed with huge amounts of data that have not been previously detected by humans and thus pre-sorted. This form of machine learning is particularly interesting in the big data age.

The dynamics of platform economies – the fact that in the digital economy a few large players such as Amazon or Google determine the rules for everyone through their platforms – could be compounded by AI. Because data is the raw material to train and improve the artificial neural networks. “AI is an industry

With voice assistants such as Apple’s Siri, Amazon Alexa, or Google Now, Pascal Finette, vice president of Singularity University, is repeating what has already been said for other technologies: The beginnings are disappointing – but soon the assistants will make huge strides. “Skeptics will reply that artificial intelligence is not only a question of computing power but also a question of quality of the algorithms.

Deep Learning relies on a multitude of artificial neurons, which are arranged in numerous layers and filter out relevant information more and more. Instead of focusing on the neurons of biological brains, as in the classic computer on a central, very powerful processor unit, there are numerous, relatively weak computing units, but they are strongly networked with each other. This form of machine learning works especially well in combination with AI-optimized special chips and large amounts of data.

Not everywhere where AI or Machine Learning is written, however, is currently artificial intelligence in the strict sense in it. Especially with chatbots, but also in many social media tools and some tasks for which IBM Watson is used, are still simple scripts are used, which do not improve over time.

Frequently, semi-supervised or supervised learning is often the starting point: here, a human already knows the correct result – for example, the difference between cat videos and non-cat videos. The algorithm now tries to make a hypothesis from the existing data, in this case, to distinguish cat videos from other videos.

It is clear: The boom of the AI is no fluke, the technology is now widely used and the more we use it, the better the AI software is by training data. Google has been calling itself an “AI first” company for some time.

Deep Learning relies on a multitude of artificial neurons, which are arranged in numerous layers and filter out relevant information more and more. Not everywhere where AI or Machine Learning is written, however, is currently artificial intelligence in the strict sense in it. The reason why deep learning has become a useful method in the field of artificial intelligence is the fact that the hardware has become fast enough for many layers of artificial neural networks.

Machine learning, often deep learning, is currently used primarily in speech recognition, image recognition and speech assistants such as Alexa, Siri or Google Now but also in software solutions for autonomous driving.

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Innovation

Never feel limited or kill your dreams or passion just because you think some one else is already doing it

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Kevin York Systrom (born December 30, 1983) is an American programmer and entrepreneur. He created Instagram, the world’s largest photo sharing website. He co‑founded Instagram along with Mike Krieger. Instagram is ranked world’s 14th most visited site by Alexa rankings. He was keen programmer and loved photography. Under Systrom as CEO, Instagram has become a fast growing app, with 800 million monthly users as of September 2017. Systrom resigned as CEO of Instagram on September 24, 2018.

Early life and education

Systrom was born in 1983 in Holliston, Massachusetts. He is the son of Diane (Pels), a marketing executive at Zipcar, who also worked at Monster and Swapit during the first dotcom bubble, and Douglas Systrom, Vice President in Human Resources at TJX Companies. Systrom attended Middlesex School in Concord, Massachusetts, where he was introduced to computer programming. His interest grew from playing Doom 2 and creating his own levels as a child. He worked at Boston Beat, a vinyl-record store in Boston, while he was in high school. Systrom attended Stanford University and graduated in 2006 with a bachelor’s degree in management science and engineering. At Stanford, he was a member of the Sigma Nu fraternity. He spent the winter term of his third year in Florence, where he studied photography. He got his first taste of the startup world when he was chosen as one of twelve students to participate in the Mayfield Fellows Program at Stanford University. The fellowship led to his internship at Odeo, the company that eventually gave rise to Twitter.

Google

After graduating Stanford, he joined Google working on Gmail, Google Calendar, Docs, Spreadsheets and other products. He spent two years at Google as a product marketer; Systrom left Google out of frustration of not being moved into the Associate Product Manager program.

Burbn

After leaving Google to join Nextstop, a location recommendation startup founded by ex-Googlers that was acquired by Facebook in 2010, Systrom thought of combining location check-ins and popular social games. He made the prototype of what later became Burbn and pitched it to Baseline Ventures and Andreessen Horowitz at a party. He came up with the idea while on a vacation in Mexico when his girlfriend was unwilling to post her photos because they did not look good enough when taken by the iPhone 4 camera. The solution to the problem was to use filters, effectively hiding the qualitative inferiority of the photographs. Subsequently, Systrom developed the X-Pro II filter that is still in use on Instagram today. Today, here in Africa we rather turn to shy away from the problems we are faced with daily. Here is an American who has the same blood that flows through our veins in his, transforming and seeing great opportunities in the problems he is faced with. Today, the world has no choices but talk about Kevin York Systrom.

After the first meeting, he decided to quit his job in order to explore whether or not Burbn could become a company. Within 2 weeks of quitting his job, he received US$500,000 seed funding round from both Baseline Ventures and Andreessen Horowitz. While in San Francisco, Systrom and Mike Krieger built Burbn, a HTML 5 check-in service, into a product that allowed users to do many things: check into locations, make plans (future check-ins), earn points for hanging out with friends, post pictures, and much more. However, recalling their studies in Mayfield Fellows Program, Krieger and Systrom identified that Burbn contained too many features and the users did not want a complicated product. They decided to focus on one specific feature, photo-sharing. The development of Burbn led to creation of Instagram. A month after launching, Instagram had grown to 1 million users. A year later, Instagram hit more than 10 million users.

Instagram

In 2010, Systrom co‑founded the photo-sharing and, later, video-sharing social networking service Instagram with Mike Krieger in San Francisco, California.In April 2012, Instagram, along with 13 employees, was sold to Facebook for US$1 billion in cash and stock. According to multiple reports, the deal netted Systrom US$400 million based on his ownership stake in the business. One of the key contributions to the acquisition is that Mark Zuckerberg stated Facebook is “committed to building and growing Instagram independently”, allowing Systrom to continue to lead Instagram.[20] Systrom stated in an interview with Bloomberg that the pros of becoming a part of Facebook were that “we got to pair up with a juggernaut of a company that understands how to grow, understands how to build a business, has one of the best, if not the best, management team in tech and we got to use them as our resource”.

In an interview with Forbes, he stated that “Instagram is a new form of communication that’s an ideal fit with the always-with-you iPhone in today’s social media world. Instagram’s a social network built around photos, where people can quickly comment on or ‘like’ photos and share them on Twitter or Facebook.” Systrom identifies Instagram as a media company, which explains the roll-out of video advertisement by big companies such as Disney, Activision, Lancome, Banana Republic and CW in late 2014.

Under Systrom’s leadership, Instagram developed key features like the Explore tab, filters, and video. Over time, Instagram has rolled out features allowing users to upload and filter photographs and short videos, follow other users’ feeds, geotag images, name location, and comment on other users’ photographs and short videos. Instagram allowed the development of web profiles in 2012, connecting accounts to Facebook, Twitter, Tumblr, and Flickr in 2013, an Explore tab in mid-2012, and Video in June 2013.[24] Instagram offers 19 photographic filters; Normal, 1977, Amaro, Branna, Earlybird, Hefe, Hudson, Inkwell, Kelvin, Lo-fi, Mayfair, Nashville, Rise, Sierra, Sutro, Toaster, Valencia, Willow, X-Pro II. Systrom hired former Yahoo Vice-President James Everingham, as well as Kevin Weil, who formerly headed product development at Twitter, as high-ranking executives at Instagram.

As of October 2015, 40 billion pictures had been shared on Instagram.

As of June 2016, Instagram had over 500 million active users.

Also in 2016, CNN quoted a study according to which Snapchat was regarded as the most important social network among teenagers aged 14 to 19, the first time in two years that Instagram did not feature at the top.

Instagram currently employs around 450 people. The app is used by 600 million people per month and 300 million per day. Its competitors Snapchat and Twitter employ more people for a smaller user base, with Twitter having 3,500 employees for 317 million monthly users, and Snapchat employing 1,500 people for half of Instagram’s daily user base.

In the future, Systrom seeks to develop Instagram further to better integrate the use of videos into the app. He also stated that in a few years, the company might be getting involved in Virtual Reality products.

According to Quartz and the New York Times, Systrom and Krieger implemented a system to overcome bottlenecks and slow decision-making in the company by scheduling meetings in which only decisions are taken. This approach was informed by Systrom’s interest in academic business theories, in particular Clayton M. Christensen‘s concept of The Innovator’s Dilemma.

On September 24, 2018, it was announced that Systrom has resigned from Instagram and will be leaving in few weeks.

Views on copying ideas in the industry

Instagram has been accused on multiple occasions for copying various new functions from its closest competitor Snapchat. Regarding the issue, Systrom argued that all new services launched by tech companies nowadays are “remixes” of existing products, and that “all of these ideas are original when you remix them and bring your own flavour”. Systrom also argued that ‘you can trace the roots of every feature anyone has in their app, somewhere in the history of technology’ and that this was simply ‘just the way Silicon Valley works.  Never feel limited or kill you dreams or passion just because you think some one else is already doing what you are thinking of. The curent system just demands that you add your own flavour and move on.

Forbes list

In 2014, Systrom was listed in the Forbes 30 under 30 list under the Social/Mobile category.

In 2016, the magazine ranked Systrom as a billionaire with an estimated net worth of US$1.1 billion. The fortune came about as a result of Facebook stocks rising more than 500%.

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