Architecture Business Intelligence Data Hardware 
CIO
JANUARY 24, 2024
Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. Great for: Extracting meaning from unstructured data like network traffic, video & speech. Model sizes: ~Millions to billions of parameters.
CIO
JUNE 5, 2023
Optimize internal technology Today, CIOs can influence everything from hardware procurement and the way developers write code for their company, to how IT gathers, processes, distributes and stores data—all of which impact a company’s carbon footprint. The CIO’s role in delivering this technology will be essential.
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CIO
JANUARY 12, 2023
Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. An edge computing architecture can begin to help solve these problems. A lot of it.
Cloudera
DECEMBER 10, 2020
Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. These costs impede the adoption of cloud-native data warehouses.
Altexsoft
FEBRUARY 11, 2023
Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?
Openxcell
JANUARY 6, 2023
The quick response is that it’s located somewhere at the other end of your internet connection; it’s a location from which you may access apps and services and where your data can be safely stored. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence.
Datavail
AUGUST 4, 2021
More and more companies are running their business intelligence and analytics workloads in the cloud. The advantages of moving analytics to AWS Cloud include: Lower IT costs: Cloud migrations save businesses the costs of on-premises hardware, software licenses, and ongoing support and maintenance.
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