Driving Business Results with Artificial Intelligence Services | 7wData

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Artificial Intelligence (AI) seems to be seeping into every aspect of our life with AI-powered solutions positively changing tech and trade, healthcare, education and even our personal everyday life. On the daily, we are challenging the usual order of things by automating the mundane routine work and having smart devices assist us with our tasks. The shift to smart technologies and intelligent workspaces goes even beyond that. Business giants across industries have recognized the limitless possibilities brought on by the innovative technologies and leverage Artificial Intelligence services to transform the way they work and deliver services to the market. 

Artificial Intelligence covers a multitude of areas in technologies including but not limited to Machine Learning, Natural Language Processing, Robotics, Neural Networks, and Knowledge Representation.  Companies using artificial intelligence have an obvious advantage that helps them stand out from the competition. AI introduces solutions for operating bigger data volumes faster with no need to factor in human error or inconsistencies, meaning that we are left with solid data and analytics stripped of any bias. This means that we can apply the data-based research with high accuracy which can be crucial if we are operating in the medical field and making predictions for patient outcomes or look into making an investment and need to analyze the stock market.  Just like that, AI can be applied to any field that operates on big data: medicine, environmental studies, socioeconomics, education and scientific research. Given a large database of information, deep learning can be applied – analyzing the data, finding patterns and making predictions based on the AI model. Smart technologies learn the more data they process meaning that the algorithms and output of the AI-driven systems improve with time and the more information you introduce into the system for analysis. 

AI is used in image recognition which is applied in practice in the medical field (e.g. processing scans for diagnostics and planning treatment). A similar principle is used in face recognition systems that may identify a person from a digital image. These technologies, called Face unlock and Face ID, are already being used by Android and Apple appropriately to let you unlock your screen or certain apps on your smartphone by simply scanning your face. Face recognition technology is now in high demand so we may expect more advances in this area soon. 

Speech recognition systems may seem on the other side of the spectrum but utilize similar principles and technology. It is used in speech-to-text software as well as for voice-operated home assistant devices like Amazon Echo or Google Home, and smart assistants Siri or Google Assistant for smartphones.  Dragon NaturallySpeaking developed by Dragon Systems, Massachusetts is another example of utilizing AI for audio data processing. It’s the most long-standing speech-to-text software on the market with over 20 years of experience in the industry. Dragon is used by doctors, lawyers, writers, and other professionals for voice transcription and captioning. 

Personalizing user experience is an example of AI service that’s particularly in demand now, becoming an integral part of technological progress and a driving factor in digital transformation in many industries. Heavily based on machine learning, AI-based systems analyze user behavior and come up with personalized recommendations aimed at enhancing user experience and creating a higher-quality product or service. As an example, we at Symphony Solutions, have developed an AI-driven recommendations engine for the gaming industry for our client Graphyte. AI, that helps iGaming providers achieve higher conversions and user engagement metrics. All these personalization solutions utilize both machine learning and Natural Language Processing.  As it often happens, ML and NLP go hand in hand and complement one another.