Big data applications

Big data applications (10)

Smart Cities Are Still Not Prepared For the Impact of AI

AI has shaped many technologies and economies and is slowly being integrated into almost every aspect of our lives. Artificial intelligence AI refers to the ability of machines to mimic human behaviors like speaking, learning and doing tasks that were before thought could only be done by humans. This technology is now taking over many industries, and cities are among areas that will be highly affected by this technology in the future. While we expect AI to improve many aspects of our everyday lives, it will also disrupt many things including how we live and how our cities operate.

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AI is Checking out the Old Masters

For years now, we have seen crazy things that Artificial intelligence (AI) can do like creating people who do not actually exist, creating virtual landscape and analyzing thousands or even millions of files and linking them together. Better yet, researchers at IBM have now come up with a new AI-driven technology that can convert a portrait photo into an amazing classical art painting. None of these applications could have been thought to be possible a few decades ago.

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China Wants to Win AI Race to Top

China does not want to fall behind in the development of artificial intelligence, reports Scientific American. 

China not only has the world’s largest population and looks set to become the largest economy — it also wants to lead the world when it comes to artificial intelligence (AI).

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Manage Smart Factories at Any Time, From Any Location with Lightapp Analytics

Manufacturing facilities are complex operations. By manufacturing standards, some of the “newer” plants are over 25 years old. It is also quite common that a plant built for one specific purpose years ago is used today by a different manufacturer making different products. Adding to the complexity, no two manufacturing plants in the world are identical. They are all different shapes, sizes, and in different locations. Heating and cooling systems at a plant in the California desert will react differently compared to a plant in Calgary, Canada.  

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Artificial Intelligence Being Used in Gaming

Artificial intelligence is entering more and more industries and is changing fortunes at an unprecedented pace. The latest beneficiary of this technology is the gaming industry. Due to artificial intelligence algorithms, video games are now more interesting due to the environment and characters which are capable of adapting to the changing situations. These algorithms help to generate behaviors which are not only intelligent but also responsive and make your interactions as a player more interesting. AI is used to make non-player characters (NPC’s) easy to interact with than ever.

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AI in the legal sector

While the working practices of many in the legal industry can be difficult to change given its established traditions and processes, recent trends suggest that lawyers are beginning to embrace the new. Indeed, forward thinking legal firms are increasingly integrating AI in order to streamline their processes and reduce the time spent on administrative tasks.

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2 Key Administrative Functions Better Left To AI

The use of artificial intelligence for key administrative functions evens the playing field for those who can’t afford an extra employee. Also, it expands the role for traditional admins.

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Let’s Talk Ethics: Big Data’s Bigger Issues

Thanks to Big Data, today’s information is constantly streaming; whether it’s news, sports, entertainment, or business, there is always something churning on the web. While having all this data at our virtual fingertips represents the latest technological breakthroughs, it is worth considering the ethical ramifications of this instant consumption.

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The Future of Analytics: 6 Predictions

Analytics have become an important part of the decision-making process for many companies in the past few decades, particularly with corporations using data assets as a core competency and point of origin. My work in the past few decades in the data and analysis field have brought forward six predicted trends to watch for in the near future:

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Four Ways the Data Scientist Has Evolved to the 21st Century

In 1989, I took my first decision sciences course, and started coding in SAS at the age of 20. I greatly enjoyed pulling discoveries buried within mounds of data, although and even small datasets had many discoveries back then. At the root of every model I’ve built, even the simplest, was a solid understanding and foundational rigor of statistical theory. When computing simple statistics or developing descriptive models, I thought through the math behind the model and how this would impact the formation, application, and interpretation.

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