CIO
JULY 18, 2023
CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It
AWS Machine Learning - AI
JANUARY 26, 2024
The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.
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Cloudera
JANUARY 19, 2022
Cloudera Data Platform (CDP) scored among the top 10 vendors on all four Analytical Use Cases — Data Warehouse, Logical Data Warehouse, Data Lake and Operational Intelligence in the Critical Capabilities for Cloud Database Management Systems for Analytics Use Cases. and/or its affiliates in the U.S.
Apiumhub
AUGUST 12, 2021
His main work is software development consulting, which combines actually writing code with advising clients on how to do that better. His current technical expertise focuses on integration platform implementations, Azure DevOps, and Cloud Solution Architectures. Currently, he is the T. Rex of Codosaurus, LLC in Fairfax, Virginia, USA.
Existek
SEPTEMBER 28, 2023
Developers often have specialized roles based on their areas of expertise, like machine learning, computer vision, natural language processing, deep learning, robotics process automation, etc. Developers often work with data acquisition, data cleaning, data transformation, and data augmentation.
Altexsoft
JUNE 26, 2023
While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?
CIO
AUGUST 18, 2022
Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.
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