Openxcell
MARCH 23, 2023
But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.
CIO
SEPTEMBER 21, 2023
Embedded AI Embedding AI into enterprise systems that employees were already using was a trend before gen AI came along. To make all this possible, the data had to be collected, processed, and fed into the systems that needed it in a reliable, efficient, scalable, and secure way. Artificial Intelligence, Machine Learning
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CIO
MARCH 13, 2023
By Ram Velaga, Senior Vice President and General Manager, Core Switching Group This article is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts.
Apiumhub
MARCH 12, 2024
This article explores cloud computing trends that will define the landscape of cloud computing in the coming years, from edge computing to quantum computing and the implications for businesses and technology enthusiasts. Cloud Computing Trends: What is Cloud Computing?
CIO
MAY 8, 2024
Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.
d2iq
FEBRUARY 19, 2021
Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.
OTS Solutions
JUNE 2, 2023
Emerging Technologies in Mobile Apps for Predictive Maintenance Emerging technologies such as artificial intelligence and machine learning are being integrated into predictive maintenance mobile apps to improve their effectiveness. This data can then be analyzed using machine learning algorithms to predict when maintenance is required.
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