AI projects requires building interdisciplinary teams – both from business and technology. Executing the process successfully is quite a challenge and hiring and AI vendor may be an effective solution.
https://deepsense.ai/wp-content/uploads/2022/01/Five-questions-to-answer-before-hiring-an-AI-vendor.jpeg5681920deepsense.aihttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgdeepsense.ai2022-01-17 09:06:082022-01-17 09:56:11Five questions to answer before hiring an AI vendor
Read deepsense.ai’s article for MIT Sloan Management Review about artificial intelligence as a powerful tool for a circular economy and more sustainable development.
https://deepsense.ai/wp-content/uploads/2021/06/MIT_-1.png7001920deepsense.aihttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgdeepsense.ai2021-11-26 17:32:062021-11-30 10:07:37deepsense.ai for MIT Sloan Management Review about AI in service of balanced growth
Computer vision is a foundational element of smart factory solutions. At deepsense.ai we have created diverse AI-driven, automated computer vision-based solutions that undertake the most demanding challenges in many different production lines.
Generating images from text has been a subject of rapid development as it might provide significant enhancements for the solutions across various domains. This text describes a complete framework that allows text-to-image conversion by combining several machine learning solutions.
https://deepsense.ai/wp-content/uploads/2021/09/Generating-images-from-text-using-evolutionary-algorithms-and-CLIP.jpeg3371140Maciej Domagałahttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgMaciej Domagała2021-09-13 18:33:042021-09-13 19:19:36Generating images from text using evolutionary algorithms and CLIP
This post discusses choices DevOps faces in a fresh project, which can take advantage of the newest version of Elasticsearch (7.14) and how to grow such a cluster from PoC up to a fully fledged production cluster.
With machine learning-powered tools, brands can evaluate a campaign’s ROI by analyzing video coverage of sponsored events. Thanks to computer vision solutions, it is possible to precisely determine the time and place a brand was positioned during a sporting event.
https://deepsense.ai/wp-content/uploads/2021/07/deepsense.ai-for-AI-Trends-about-successful-enterprise-AI-implementation.jpeg3371140deepsense.aihttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgdeepsense.ai2021-07-12 17:47:322021-07-13 10:57:08deepsense.ai for AI Trends about successful enterprise AI implementation
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
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Five questions to answer before hiring an AI vendor
/in Artificial Intelligence /by deepsense.aiAI projects requires building interdisciplinary teams – both from business and technology. Executing the process successfully is quite a challenge and hiring and AI vendor may be an effective solution.
deepsense.ai for MIT Sloan Management Review about AI in service of balanced growth
/in Artificial Intelligence /by deepsense.aiRead deepsense.ai’s article for MIT Sloan Management Review about artificial intelligence as a powerful tool for a circular economy and more sustainable development.
Computer vision in smart factories
/in Computer vision /by deepsense.aiComputer vision is a foundational element of smart factory solutions. At deepsense.ai we have created diverse AI-driven, automated computer vision-based solutions that undertake the most demanding challenges in many different production lines.
Generating images from text using evolutionary algorithms and CLIP
/in Computer vision /by Maciej DomagałaGenerating images from text has been a subject of rapid development as it might provide significant enhancements for the solutions across various domains. This text describes a complete framework that allows text-to-image conversion by combining several machine learning solutions.
Elasticsearch’s DevOps head start. Part 1. Operating system.
/in Elasticsearch /by Karol BartnikThis post discusses choices DevOps faces in a fresh project, which can take advantage of the newest version of Elasticsearch (7.14) and how to grow such a cluster from PoC up to a fully fledged production cluster.
Logo detection in sports sponsorship
/in Machine learning /by Michał Tadeusiak and Krzysztof DziedzicWith machine learning-powered tools, brands can evaluate a campaign’s ROI by analyzing video coverage of sponsored events. Thanks to computer vision solutions, it is possible to precisely determine the time and place a brand was positioned during a sporting event.
deepsense.ai for AI Trends about successful enterprise AI implementation
/in Artificial Intelligence /by deepsense.aiRead deepsense.ai’s article for AI Trends about leveraging the full potential of enterprise AI.
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.