Business Analytics Hardware Machine Learning 
CIO
MARCH 9, 2022
As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. Learn more at [link]. . Intel® Technologies Move Analytics Forward.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Cloudera
FEBRUARY 8, 2021
Adding more wires and throwing more compute hardware to the problem is simply not viable considering the cost and complexities of today’s connected cars or the additional demands designed into electric cars (like battery management systems and eco-trip planning). The vehicle-to-cloud solution driving advanced use cases.
Datavail
MARCH 31, 2022
Today’s thriving companies are embracing emerging data analytics programs to upgrade their business modeling technology from systems maintenance to value creation. Legacy soft- or hardware, hold-over manual processes, and data silos are roadblocks to forward progress. Contact us today. Contact an Expert ».
Kaseya
MAY 13, 2021
In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. Also, it might be interesting to note that Azure is the only cloud platform that offers unique capabilities like cognitive APIs, bots, machine learning and Blockchain-as-a-Service (BaaS).
Altexsoft
FEBRUARY 8, 2021
To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Only with such a holistic approach to data, you can build a prosperous business.
Cloudera
NOVEMBER 2, 2020
Having a live view of all aspects of their network lets them identify potentially faulty hardware in real time so they can avoid impact to customer call/data service. These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning.
Expert insights. Personalized for you.
178 
Let's personalize your content