Agile Big Data Business Continuity Machine Learning 
Cloudera
JULY 9, 2019
Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.
OTS Solutions
JUNE 2, 2023
has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0
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OTS Solutions
JULY 18, 2023
By leveraging modern technologies and methodologies, they can streamline their operations, reduce costs, and improve agility. In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering.
OTS Solutions
JULY 18, 2023
By leveraging modern technologies and methodologies, they can streamline their operations, reduce costs, and improve agility. In recent years, the rise of cloud computing , the Internet of Things (IoT) , and big data analytics has transformed the way organizations approach digital engineering.
Kaseya
NOVEMBER 9, 2023
AI-as-a-Service (AIaaS) and Machine Learning-as-a-Service (MLaaS) : AIaaS and MLaaS empower organizations with access to artificial intelligence and machine learning capabilities, allowing them to leverage advanced analytics without any extensive in-house expertise.
Apiumhub
JUNE 22, 2021
Data Innovation Summit topics. Data Innovation Summit is here to help you hear cutting-edge content, meet and engage with peers and find solutions to your most pressing challenges. Focus on Data-Ops, ML Ops, Auto ML, Cloud ML, Fast Data, data pipeline, data lineage, modeling, data flow monitoring, feature extraction and much more.
Apiumhub
APRIL 5, 2022
M2- Data Engineering Stage: Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. Presentations by some of the leading experts, researchers and practitioners in the area.
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