Remove Artificial Inteligence Remove Data Engineering Remove KPI
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What is data architecture? A framework to manage data

CIO

Modern data architectures must be designed for security, and they must support data policies and access controls directly on the raw data, not in a web of downstream data stores and applications. Curate the data. Modern data architectures use APIs to make it easy to expose and share data.

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Behind the scenes: The daily impact of genAI at Hamburg’s largest gaming company

CIO

Companies in various industries are now relying on artificial intelligence (AI) to work more efficiently and develop new, innovative products and business models. KAWAII KAWAII stands for Knowledge Assistant for Wiki with Artificial Intelligence and Interaction. The data scene of InnoGames at a glance.

Games 147
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5 hot IT budget investments — and 2 going cold

CIO

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). Dental company SmileDirectClub has invested in an AI and machine learning team to help transform the business and the customer experience, says CIO Justin Skinner.

Budget 218
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PepsiCo transforms for the digital era

CIO

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. Yes, the data is key.

Analytics 217
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An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Machine Learning Workspace exists . A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. The Data Scientist. The KPI is 0.5

Data 97
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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

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’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87
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How to Successfully Implement HR Analytics and People Analytics in a Company

Altexsoft

Predictive analytics requires numerous statistical techniques, including data mining (detecting patterns in data) and machine learning. Organizations already use predictive analytics to optimize operations and learn how to improve the employee experience. Let’s explore several popular areas of its application.