Astera
JULY 10, 2023
How Automated Shipping Document Data Extraction is Reframing Manufacturing AI-powered tools are proving to be more than just functional assets, rather they are becoming the linchpins of a robust and efficient data management strategy in the industry.
BizAcuity
APRIL 14, 2022
They tell you how big data helped them create a mark in today’s world. FedEx along with the data of orders, merges these with weather and traffic data. Tesla is another company that picks up data from their cars and also analyzes traffic and weather. With big data, brands want to improve their value offerings.
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Astera
MAY 4, 2023
To address this challenge, AI-powered solutions have emerged with advanced capabilities such as natural language processing (NLP), optical character recognition (OCR), and computer vision. These tools can effectively identify and extract relevant data from unstructured sources. Sign up for a custom demo !
Sisense
FEBRUARY 1, 2021
Although many publications compare product data management and product life cycle management — commonly framing the debate as “PDM versus PLM” — that can create confusion. The functionality referred to as a product data management framework is more accurately a subset of a product life cycle management framework.
Data Pine
NOVEMBER 5, 2019
If you don’t have the vision or don’t know what to do with it, you’ll find yourself shooting in the dark – and that is detrimental to the growth and evolution of any business, regardless of size or sector. Without data, you are just another person with an opinion.” – W. Still unsure? Intelligent reporting. Edwards Deming.
Actian
DECEMBER 9, 2019
How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.
Actian
JANUARY 7, 2019
Emerging technologies, such as artificial intelligence (AI), machine learning (ML), blockchain and IoT, are increasing the demand for real-time data integration and harmonization. However, machine learning and AI capabilities won’t help you make informed decisions if they don’t have access to quality data. Enabling Digital Ecosystems.
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