Rocket-Powered Data Science
MARCH 20, 2023
We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Source: [link] I will finish with three quotes.
CIO Business Intelligence
FEBRUARY 16, 2023
My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The company’s Findability.ai
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CIO Business Intelligence
JUNE 7, 2022
Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics methods and techniques. Data analytics examples.
CIO Business Intelligence
NOVEMBER 7, 2023
For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever.
CIO Business Intelligence
JUNE 13, 2022
The volume of work coming at IT is one of the top issues identified by CIOs, researchers, and executive advisors, or as Elizabeth Hackenson, CIO of Schneider Electric, puts it: “The accelerated demand for digital capabilities throughout the enterprise simultaneously.”. “In Others also list data initiatives as a top issue for CIOs.
AWS Big Data
NOVEMBER 15, 2023
They can use their own toolsets or rely on provided blueprints to ingest the data from source systems. Once released, consumers use datasets from different providers for analysis, machine learning (ML) workloads, and visualization. The difference lies in when and where data transformation takes place.
AWS Big Data
APRIL 26, 2023
We also split the data transformation into several modules (Data Aggregation, Data Filtering, and Data Preparation) to make the system more transparent and easier to maintain. Although each module is specific to a data source or a particular data transformation, we utilize reusable blocks inside of every job.
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