Artificial Intelligence (AI) is an area of computer science focused mainly on creating intelligent machines that can work and react like real people. AI’s ideal characteristic is its ability to rationalize and take actions that have the best chance of achieving a specific goal. With AI, machines are able to learn from experience, adjust to new data inputs and perform tasks that are otherwise only humans are able to do. But all of these are only made possible through processing large amounts of data and recognizing patterns in it.
Chess-playing computers and self-driving cars are just two of the long lists of what AI can do with the help of deep learning and natural language processing.
Importance of Artificial Intelligence
- Automates repetitive learning and discovery through data: AI doesn’t automate manual tasks which makes it different from hardware-driven, robotic automation. Instead, it performs frequent, high-volume, computerized tasks with high levels of reliability and without fatigue. This type of automation though still requires human inquiry or intervention to set up the system and ask the right questions.
- AI increases the intelligence of existing products: Generally, AI isn’t sold as an individual application but is rather added as a feature which improves the product’s intelligence. Just like Siri which was added as a feature to a new generation of Apple products. A lot of businesses combine automation, conversational platforms, bots, and smart machines with a large amount of data to improve the way they do their processes towards better profitability.
- AI finds structure and irregularities in the data: Through this, the algorithm can become a classifier or a predictor where the algorithm teaches itself what is the next best thing to do. For example, through machine learning, the algorithm is able to teach itself to play chess as well as recommend what products to recommend.
- AI can analyze more data and deep into it for more valuable insights: This is made possible by using neural networks that have many hidden layers. Years back, building a fraud detection system with five hidden layers is almost impossible but is so much easier today because of the power of computers and big data. But this can only be made possible if you have a lot of data to train deep learning models. The more data you can feed the algorithm, the more accurate the data becomes.
- AI can achieve incredible accuracy through deep neural networks: AI’s level of accuracy keeps getting higher the more it is being used. A concrete example is your interactions with Google Search, Google Photos and even Facebook – i.e, People You May Know, Automatic Tagging, and Posts You May Like. Cancer diagnosis is another great AI application using image classification and object recognition.
- AI is able to get the most out of data: With self-learning algorithms, the data can become an intellectual property with utmost importance. Insights, answers, and solutions are in the data – you just have to let AI extract them. If you have the best data in a competitive industry even if everyone is applying the same techniques, you’ll always be one step ahead.
Human and AI
AI isn’t intended to replace human but instead augment our capabilities and help us be better in what we do. Algorithms and humans learn differently. Thus, they look at things and data differently. AI can see relationships and patterns that we might not be able to see. Humans, together with AI can:
- Bring analytics to industries and areas where it’s underutilized.
- Improve the performance of existing analytical technologies.
- Break down economic barriers such as language and translation barriers.
- Augment our existing abilities.
- Can give us better vision, understanding, memory and a whole lot more.
Interested in how AI can help your business be one step ahead of the competition? Contact Proactive Logic today! We’ll help you understand how AI can create better opportunities for your business. Talk to us today!
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