A strategic implementation combined with appropriate data training constitutes the layers of AI-driven business automation.We, at Oodles, as an emerging Artificial Intelligence Development Company, decode business automation while highlighting key AI applications for attaining operational efficiency. As an established Computer Vision Development Company, the Oodles’ AI team has built a CNN-based employee attendance system. The model is integrated with a front-desk video camera that tracks employee movements with over 95% accuracy achieved.
Learn more: AI Applications For Business Automation
As we progress towards the new year, artificial intelligence continues to propel enterprise goals and objectives.
With high computational powers and machine learning advancements, business applications of AI are opening new and better opportunities across vectors.
For this new year, providers of AI development services are aiming to improve business services and strategies with disruptive AI technologies.
Read on to find out what all artificial intelligence trends in 2020 will impact your organization’s digital transformation journey.Chatbots Will Master Human InteractionsWe have some key transformations awaiting AI-powered chatbot development services in 2020-a) Voice-based customer interactions will be the most prevalent AI-powered support function throughout the next year.
Artificial intelligence and Machine Learning are the part of computer science that are correlated with each other.
These two technologies are the most trending technologies which are used for creating intelligent systems.Although these are two related technologies and sometimes people use them as a synonym for each other, but still both are two different terms in various cases.On a broad level, we can differentiate both AI and ML as:https://www.charterglobal.com/machine-learning-vs-artificial-intelligence-whats-the-difference/Artificial Intelligence vs. Machine Learning: Required SkillsBecause artificial intelligence is a catchall term for smart technologies, the necessary skill set is more theoretical than technical.
Machine learning professionals, on the other hand, must have a high level of technical expertise.Artificial Intelligence SkillsPeople pursuing a career in artificial intelligence must have a foundation in:1.
Algorithms, and techniques for analyzing them2.
Machine learning and how to apply techniques to draw inferences from data3.
The ethical concerns in developing responsible AI technologies4.