Analytics Technologies Data Analytics IoT Strategy 
Smart Data Collective
NOVEMBER 20, 2022
Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.
Smart Data Collective
MAY 21, 2021
New advances in data analytics and a wealth of outsourcing opportunities have contributed. Shrewd software developers are finding ways to integrate data analytics technology into their outsourcing strategies. Use data analytics to improve Agile management.
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CIO Business Intelligence
APRIL 11, 2022
In just three years, Doral has implemented 40 percent of the smart city technology measures identified by the National League of Cities. strategy, which will focus even more on enhancing customer service on the city’s digital infrastructure. Intel® Technologies Move Analytics Forward. Just starting out with analytics?
Smart Data Collective
JUNE 30, 2022
Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. Vertical integration.
Smart Data Collective
SEPTEMBER 22, 2021
We have frequently talked about the benefits of using big data to make the most of your online marketing efforts. However, there are also a number of ways to use data analytics technology to execute your offline marketing strategies such as print marketing effectively as well. Become More Agile.
CIO Business Intelligence
APRIL 12, 2022
In any of these situations, different data points can be ingested once, and analyzed for multiple uses. Cameras and thermal vision technology are used to visually inspect vehicles for wear and tear, and when integrated with IoT sensors, can more accurately identify parts that should be replaced. Just starting out with analytics?
CIO Business Intelligence
JANUARY 20, 2023
Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.
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