Business Analytics IoT Machine Learning Technology 
CIO
OCTOBER 6, 2022
Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes. Optimising HPC and AI Workloads.
Gorilla Logic
MAY 19, 2021
To grow faster, CEOs must prioritize technology and digital transformation. Companies that lead in technology innovation achieve 2-3x more revenue growth as compared to their competitors. Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more.
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Altexsoft
JULY 3, 2020
The hospitality industry evolved into various businesses that propose different customer experiences by adopting new technologies, practices, and cultural trends. The adoption of, say, IoT devices gave us new ways to collect and process data. Machine learning allowed hotels and rental services to personalize offers and services.
Hu's Place - HitachiVantara
JUNE 12, 2018
CRN, Computer Reseller News, a leading trade magazine, has named Hitachi Vantara as one of the 30 Coolest Business Analytics Vendors. CRN recognizes that Hitachi Vantara is able to provide, “ cloud, Internet of Things, big data, and business analytics products under one roof.”
O'Reilly Media - Ideas
JANUARY 4, 2022
Artificial Intelligence and Machine Learning. AWS SageMaker Canvas claims to allow businesspeople to develop Machine Learning applications to solve business problems with no programming experience. Connected Hardware (aka IoT). Please don’t say DAOs. Pete Warden shows how to get started.
Sunflower Lab
APRIL 2, 2024
Improving Operational Efficiency: With predictive analytics, CEOs will be able to precisely identify deviations from a planned scenario and make evidence-based choices so that problem areas will be eliminated and efficiency will be upscaled. Therefore, there is a wonderful opportunity to save money or move to high-profit technology.
Cloudera
MAY 12, 2021
Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. Data for Enterprise AI: E xperian BIS — Improving the accuracy of commercial data aggregation with data science and machine learning.
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