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Why Artificial Intelligence is incomplete without Data Annotation

#artificialintelligence

Whenever we talk about Artificial Intelligence (AI) and Machine Learning (ML), what we instantly imagine are powerful tech companies, convenient and futuristic solutions, fancy self-driving cars, and basically everything that is aesthetically, creatively, and intellectually pleasing. What hardly gets projected to people is the real world behind all the conveniences and lifestyle experiences offered by AI. For your device to set an alarm clock just by listening to your voice, hundreds of hours of work would have gone through at the back end -- right from the time of ideation to developing prototypes and testing. Now, imagine the scale of operations and efforts behind your Netflix recommendation engines, eCommerce personalizations, home automation systems, on-demand transport, and food delivery solutions, and basically anything powered by a smartphone or an app. Today's spectrum of artificial intelligence is just like a fancy restaurant that gets marketed among people.


The Rise Of Artificial Intelligence (AI)

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The idea of Artificial Intelligence dominating the world is a scary thought. Imagine if there were tech humans which are also known as AI's, working alongside us to help with anything we need! A future dominated by artificial intelligence isn't a far-fetched fantasy. "In 2029, a machine can pass the Turing Test, according to Ray Kurzweil." This ensures that a device would exhibit intelligent behavior comparable to, if not identical to, that of a person. Who is father of artificial intelligence?


Why Artificial Intelligence is incomplete without Data Annotation

#artificialintelligence

Whenever we talk about Artificial Intelligence (AI) and Machine Learning (ML), what we instantly imagine are powerful tech companies, convenient and futuristic solutions, fancy self-driving cars, and basically everything that is aesthetically, creatively, and intellectually pleasing. What hardly gets projected to people is the real world behind all the conveniences and lifestyle experiences offered by AI. For your device to set an alarm clock just by listening to your voice, hundreds of hours of work would have gone through at the back end - right from the time of ideation to developing prototypes and testing. Now, imagine the scale of operations and efforts behind your Netflix recommendation engines, eCommerce personalizations, home automation systems, on-demand transport, and food delivery solutions, and basically anything powered by a smartphone or an app. Today's spectrum of artificial intelligence is just like a fancy restaurant that gets marketed among people.


Machine learning, explained

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Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.


How big tech got so big: Hundreds of acquisitions

Washington Post - Technology News

You're probably reading this on a browser built by Apple or Google. If you're on a smartphone, it's almost certain those two companies built the operating system. You probably arrived from a link posted on Apple News, Google News or a social media site like Facebook. And when this page loaded, it, like many others on the Internet, connected to one of Amazon's ubiquitous data centers. Amazon, Apple, Facebook and Google -- known as the Big 4 -- now dominate many facets of our lives. But they didn't get there alone. They acquired hundreds of companies over decades to propel them to become some of the most powerful tech behemoths in the world.


Visualizing Tech Giants' Artificial Intelligence Ambitions

#artificialintelligence

Artificial intelligence is evolving unprecedently. From smart digital assistants to autonomous cars, this technology is touching every aspect of life and work. Extending beyond a science-fiction anecdote, AI is prevalent today and can encompass anything from Google's search algorithms to IBM's Watson and autonomous weapons. Many big tech giants are making big leaps toward artificial intelligence by acquiring and merging with AI companies and startups. Here, we will look at the tech giants' AI ambitions.


Global Big Data Conference

#artificialintelligence

The AI market is projected to be 190 billion by 2025. AI applications, once the purview of only the most advanced technologists are now pervasive. The average human is likely to interact with at least one AI in their daily life, whether it is auto-correct on their phone, a movie or product recommendation, or, for some, a self-driving car or a digital assistant. While these are the AIs that the average person can see, the impact of the technology is possibly even greater in the AIs that they don't see, that assist their doctors, their bank's loan approvals, their city's budget decisions, and more. The next generation, our children, are the first AI-Native Generation They have never known life without AI.


The Four Cs Of AI Literacy: Building The Workforce Of The Future

#artificialintelligence

The AI market is projected to be 190 billion by 2025. AI applications, once the purview of only the most advanced technologists are now pervasive. The average human is likely to interact with at least one AI in their daily life, whether it is auto-correct on their phone, a movie or product recommendation, or, for some, a self-driving car or a digital assistant. While these are the AIs that the average person can see, the impact of the technology is possibly even greater in the AIs that they don't see, that assist their doctors, their bank's loan approvals, their city's budget decisions, and more. The next generation, our children, are the first AI-Native Generation They have never known life without AI.


Guest Blog - Machine Learning in Talent Management

#artificialintelligence

As the world of portable devices and advanced technologies gets more accessible for the final customer, we have the possibility to imagine a different type of future. If a few decades ago it would've been difficult to think about self-driving cars and smart objects, talking with each other, nowadays, it's not uncommon today to speak directly with your phone, not just as a means of communication with other people. Intelligent assistants like Siri and Alexa changed the way people use technology. And, even though we can't have Ironman's amazing assistant Jarvis, we need to pay attention to Artificial Intelligence and Machine Learning. According to the latest trends of AI-based solutions, there is hardly any decisive sector or industry that does not rely on smart algorithms and automation to perform highly advanced tasks that would be impossible for most humans.


5 Things To Know About Machine Learning - UKTN (UK Tech News)

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Consumers are increasingly being introduced to machine learning uses and applications, such as image recognition, self-driving cars, online fraud detection, traffic prediction, speech recognition, and product recommendations. But what is machine learning? How can people use this advanced technology in business and everyday living? What is machine learning (ML)? ML technology involves feeding a massive amount of data into a computer program, creating a model (through algorithms) to'fit' the data.