scalability-essential-in-running-analytics-and-big-data-projects 
Dataversity
APRIL 21, 2021
Big data and analytics projects can help your business considerably, but their performance directly depends on the hardware used. One common issue is the lack of scalability, when your project starts using an increased amount of resources. Click to learn more about author Andreea Jakab.
CIO
DECEMBER 6, 2023
Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. We think this is a mistake, as the success of GenAI projects will depend in large part on smart choices around this layer.
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CIO
OCTOBER 1, 2022
Companies capture more data and compute capacity at the edge. Data follows the activities of customers, employees, patients, and processes. Pushing computing power to the distributed edge ensures that data can be analyzed in near real time —a model not possible with cloud computing. At the edge: where activity takes place.
CIO
MARCH 24, 2023
Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.
CIO
DECEMBER 13, 2022
And you might know that some big, very successful companies rely on it, including LinkedIn, Netflix, The Home Depot, and Apple. They’re very powerful because they ensure data consistency and availability at the same time, and they’re effective and relatively easy to use — as long as your databases are running on the same machine.
CIO
JULY 21, 2023
So as organizations face evolving challenges and digitally transform, they offer advantages to make complex business operations more efficient, including flexibility and scalability, as well as advanced automation, collaborative communication, analytics, security, and compliance features.
CIO
JULY 18, 2023
The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. The net result?
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