Read deepsense.ai’s article for MIT Sloan Management Review about artificial intelligence as the key to building customer loyalty in platform businesses.
https://deepsense.ai/wp-content/uploads/2021/06/MIT_-1.png7001920deepsense.aihttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgdeepsense.ai2021-06-22 17:43:362021-06-28 14:01:07deepsense.ai for MIT Sloan Management Review about AI in platform businesses
Much has been said about the effective running of machine learning projects. However, the topic keeps coming up. It is vital to remember that the purpose of ML projects is not modeling itself, but achieving defined business goals.
As predicted by McKinsey experts, the technological revolution in the insurance industry has already started, and its progressive development will lead to a massive technological shift over the next decade.
https://deepsense.ai/wp-content/uploads/2021/05/AI-based-applications-in-the-insurance-industry.jpeg3371140deepsense.aihttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgdeepsense.ai2021-05-17 08:00:522021-05-17 09:54:59AI-based applications in the insurance industry
Cost of risk is one of the biggest components in banks’ cost structure. Thus, even a slight improvement in credit risk modelling can translate in huge savings. That’s why machine learning is often implemented in this area.
https://deepsense.ai/wp-content/uploads/2021/04/5-ways-how-AI-can-improve-your-demand-forecasting.jpeg3371140deepsense.aihttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgdeepsense.ai2021-03-15 16:43:222021-04-14 16:49:475 ways how AI can improve your demand forecasting
The concept of machine learning is derived from advanced data analysis of pattern and dependency recognition. ML assumes that when models analyze new data, they can adapt independently and use this new knowledge to develop by learning from previous experiences. Machine learning models can enhance nearly every aspect of a business, from marketing and sales to maintenance.
https://deepsense.ai/wp-content/uploads/2021/02/Machine-Learning-for-Applications-in-Retail-and-Manufacturing.jpeg3371140deepsense.aihttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgdeepsense.ai2021-02-25 08:54:592021-05-11 10:55:53Machine learning for applications in retail and manufacturing
According to research done by Business Insider Intelligence, banks can benefit by $447 billion by 2023 applying Artificial Intelligence. No wonder artificial intelligence is playing an increasingly important role in financial institutions’ roadmap for the coming years – 75% of banks with over $100 billion in assets already have AI strategies in place.
https://deepsense.ai/wp-content/uploads/2020/07/AI-solutions-that-are-designated-to-bring-value-in-banking.jpg3371140Oleh Plakhtiyhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgOleh Plakhtiy2020-08-10 12:05:352021-01-05 16:12:01AI solutions are boosting value in banking
AI has become a powerful force in Computer Vision and it has unleashed tangible business opportunities for 2D visual data such as images and videos. Applying AI can bring tremendous results in a number of fields. To learn more about this exciting area, read our overview of 2D computer vision algorithms and applications.
https://deepsense.ai/wp-content/uploads/2020/05/3D-meets-AI-an-unexplored-world-of-new-business-opportunities.jpg3371140Krzysztof Palczewskihttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgKrzysztof Palczewski2020-05-22 17:40:362021-05-11 10:55:223D meets AI – an unexplored world of new business opportunities
Modern science is facing a completely new challenge: overload. According to research from the University of Ottawa, the total number of research papers published since 1665 passed the 50 million mark in 2009 and approximately 2.5 million new papers are published every year.
https://deepsense.ai/wp-content/uploads/2020/05/deepsense.ai-and-books-box.com-using-machine-learning-to-deliver-knowledge-pills.jpg3371140Oleh Plakhtiyhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgOleh Plakhtiy2020-05-12 16:34:142022-02-15 18:43:29deepsense.ai and books-box.com – using machine learning to deliver knowledge pills
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deepsense.ai for MIT Sloan Management Review about AI in platform businesses
/in Artificial Intelligence /by deepsense.aiRead deepsense.ai’s article for MIT Sloan Management Review about artificial intelligence as the key to building customer loyalty in platform businesses.
Paramount factors in successful machine learning projects. Part 1/2.
/in Machine learning /by Robert BoguckiMuch has been said about the effective running of machine learning projects. However, the topic keeps coming up. It is vital to remember that the purpose of ML projects is not modeling itself, but achieving defined business goals.
AI-based applications in the insurance industry
/in Artificial Intelligence /by deepsense.aiAs predicted by McKinsey experts, the technological revolution in the insurance industry has already started, and its progressive development will lead to a massive technological shift over the next decade.
Using machine learning in credit risk modelling
/in Data science, Machine learning /by deepsense.aiCost of risk is one of the biggest components in banks’ cost structure. Thus, even a slight improvement in credit risk modelling can translate in huge savings. That’s why machine learning is often implemented in this area.
5 ways how AI can improve your demand forecasting
/in Artificial Intelligence /by deepsense.aiDownload the guide and learn how deepsense.ai can leverage the accuracy of your organization’s demand forecasting.
Machine learning for applications in retail and manufacturing
/in Machine learning /by deepsense.aiThe concept of machine learning is derived from advanced data analysis of pattern and dependency recognition. ML assumes that when models analyze new data, they can adapt independently and use this new knowledge to develop by learning from previous experiences. Machine learning models can enhance nearly every aspect of a business, from marketing and sales to maintenance.
AI trends for 2021
/in Artificial Intelligence, Popular posts /by deepsense.aiInterview with Michał Iwanowski, VP of Engineering, about AI development in 2021.
AI solutions are boosting value in banking
/in Machine learning /by Oleh Plakhtiy and Dawid NguyenAccording to research done by Business Insider Intelligence, banks can benefit by $447 billion by 2023 applying Artificial Intelligence. No wonder artificial intelligence is playing an increasingly important role in financial institutions’ roadmap for the coming years – 75% of banks with over $100 billion in assets already have AI strategies in place.
3D meets AI – an unexplored world of new business opportunities
/in Data science, Deep learning, Machine learning /by Krzysztof Palczewski, Jarosław Kochanowicz and Michał TadeusiakAI has become a powerful force in Computer Vision and it has unleashed tangible business opportunities for 2D visual data such as images and videos. Applying AI can bring tremendous results in a number of fields. To learn more about this exciting area, read our overview of 2D computer vision algorithms and applications.
deepsense.ai and books-box.com – using machine learning to deliver knowledge pills
/in Data science /by Oleh PlakhtiyModern science is facing a completely new challenge: overload. According to research from the University of Ottawa, the total number of research papers published since 1665 passed the 50 million mark in 2009 and approximately 2.5 million new papers are published every year.