Artificial intelligence is the ability of computers to learn problem-solving as they receive stimuli and new information. In the past (and today), computers had a program that solved a specific problem. That is to say, human intelligence had translated the problem into an algorithm (programming), which the computer solved quickly (for its computational capacity so fast). Why is AI so powerful? Because it will learn from itself exponentially at an unimaginable speed. Humans generally learn from experience.
Artificial Intelligence in Business is a recurring theme in any conversation about Digital Transformation, but how can we separate what is just hype from what this technology can deliver on business benefits? We've come a long way here, that's true, but with so much AI-related news and how the world will be transformed by it, it's hard to understand what already exists and what still just conjecture is. Our goal here is to draw a clear line between the real world, the applications that can already be used today and what youll see in the future of Artificial Intelligence in business. Artificial intelligence already exists among us and is taking more and more control of the daily activities usually executed by humans.
Artificial Intelligence is probably the technical-scientific discipline with the most potential in recent years, which raises an unparalleled revolution globally. Andrew Ng, one of the best-known personalities in this area, calls it "the electricity of the 21st century." Artificial intelligence already exists among us and is taking more and more control of the daily activities usually executed by humans.
Artificial intelligence is the ability of computers to learn problem-solving as they receive stimuli and new information. In the past (and today), computers had a program that solved a specific problem. That is to say, human intelligence had translated the problem into an algorithm (programming), which the computer solved quickly (for its computational capacity so fast). However, this computer could only solve the problem for which it had been designed and programmed. Nothing else.
A program that calculated the estimated price of a house could not calculate the estimated price of the same house if, for example, the economy had collapsed, or if it had opened a new primary-level school three blocks from the house, or if two miles from the house they were creating a new residential complex with more than 650 new houses. Computers could only solve exactly the problem for which they had been programmed.
It means that computers can receive a huge amount of data and quickly decipher which data is relevant and which is not, to solve the problem in the best way. Let's say a computer is programmed to buy your food. Every time you run out of something (for example, vegetables), you simply order it from this computer and automatically make the purchase online and send it to you at home.
However, this computer begins to analyze the data of your purchases and realizes that every week you run out of vegetables, or that on weekends you always buy a bottle of wine at the last minute in the corner market or that, every once you buy burger it gives you acidity at night, etc. Then, this same computer automatically orders the vegetables before it runs out and the bottle of wine you like to arrive at your house on wekends and also, it recommends you not to eat burger because the antacids you are taking are not good for your health. That is what is called artificial intelligence.
Because she will learn from herself exponentially at an unimaginable speed. Humans generally learn from experience. If you are a pilot, the more flight hours you have, the more experience you have, and the better pilot you are. Human beings learn from experience in a linear way. Let's say that an airplane, controlled by AI, manages to perfect the landing and takeoff of a particular airport and shares the information to more than 200 planes that land at that airport and vice versa.
The possibility of error would be virtually zero. After a few weeks, AI-controlled airplanes would have the experience of thousands of pilots. Imagine a world where on highways, the percentage of human accidents is 1% vs. that of cars controlled by AI of 0.000001%.
We've come a long way here, that's true, but with so much AI-related news and how the world will be transformed by it, it's hard to understand what already exists and what still just conjecture is. Our goal here is to draw a clear line between the real world, the applications that can already be used today and what you'll see in the future of Artificial Intelligence in business.
AI is a highly versatile technology, and routines can be created in a variety of ways for a given task to be accomplished - just look at its most diverse applications today. Chatbots, autonomous cars, natural language interpreters and many other applications that are so distinct from each other, but all are based on the same concept of Artificial Intelligence.
Regardless of the business, there is a way to apply AI to daily tasks and processes within your organization to improve your management and grow your revenue.
There is no doubt that Artificial Intelligence (AI) is a transformative technology, perhaps even the geekiest technology available today. But if you think that the reframing nature of AI is limited to global technology giants and frontline companies, think again. AI is finally revolutionizing every business, and industry.
If you are an entrepreneur, you have your business or until now you are starting your brand, you may think that applying artificial technology to your day to day seems highly Technical and Specialized. However, AI is the future and will be implemented by your competitors. So better be a pioneer.
Appstudio has a vast experience in AI, thanks to our collaborations with leading organizations of the world. We will not only design AI based products and processes for you but will also help you strategize your business in order to gain maximum benefits from this sophisticated technology.
Generally, in the field of subject matter, automated image analysis refers to a quantitative digital evaluation of the image of a microstructure. It’s the evaluation of metallographic characteristics such as grain size, inclusions, layers and phases and other constituents.
It uses historical data to anticipate and foretell future events. Predictive analysis has received a lot of attention in recent years due to advances in the technology that supports it, especially in the areas of big data and machine learning.
A well-designed chatbot can be incredibly important to promote the company's client interaction. Our built chatbots are flexible and adaptable, offering fresh horizons for enterprises while strengthening customer service.
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Processing of speech and audio has vast effects in the areas of music, health and education. We have been working on active noise cancellation and digital assistants since inception. We also create technologies to assist therapists in speech treatments.
Computer Vision is the discipline that studies how to process, analyze and interpret images automatically. These techniques have applications in many areas, such as safety, medicine, automatic inspection, or automatic navigation.
Named after IBM’s first CEO, Thomas J. Watson, the company is fueled by the most recent advancements in AI. Watson is the open, multi-cloud stage that gives you a chance to robotize the AI lifecycle.
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No doubt there are numerous deep learning platforms available in our age. However, there is no comparison to Keras which excels in providing developers with open source neural library.
Mahout is an open source venture that is utilized for making versatile AI calculations. The calculations of Mahout are composed over Hadoop, so it functions admirably in circulated condition. It utilizes the Hadoop library to scale adequately in the cloud.
Deeplearning4j is a profound picking up programming library composed for Java and the Java virtual machine. It provides a figuring system with wide help for profound learning calculations. No doubt, it’s a modern and one of the swift tool for ML.
Microsoft Azure is a distributed computing administration made by Microsoft for structure, testing, conveying, and overseeing applications and administrations through Microsoft-oversaw servers.
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H2O.ai is situated in Mountain View, California and offers a suite of Machine Learning stages. H2O’s center quality is its high-performing ML parts, which are firmly incorporated with swiftness and usability.
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Based in Canada, Amy’s channel Macedo Beauty has over 800K subscribers who come to her for makeup tips, reviews on the latest products and basically anything to do with beauty
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