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What is data architecture? A framework to manage data

CIO

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. AI and machine learning models.

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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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Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

AWS Machine Learning - AI

The essence of DORA metrics is to distill information into a core set of key performance indicators (KPIs) for evaluation. Mean time to restore (MTTR) is often the simplest KPI to track—most organizations use tools like BMC Helix ITSM or others that record events and issue tracking.

DevOps 99
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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock

AWS Machine Learning - AI

Generative AI empowers organizations to combine their data with the power of machine learning (ML) algorithms to generate human-like content, streamline processes, and unlock innovation. He has more than 8 years of experience with big data and machine learning projects in financial, retail, energy, and chemical industries.

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The Ultimate Guide to Cloud Computing: What Your Business Needs To Know

OTS Solutions

It is a shared pool that is made up of two words cloud and computing where cloud is a vast storage space and computing means the use of computers. Suppose a user makes a storage request, database access request, or computing request. This also involves machine learning and natural language processing.

Cloud 130
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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.

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Fraud Detection with Cloudera Stream Processing Part 1

Cloudera

For each transaction, NiFi makes a call to a production model in Cloudera Machine Learning (CML) to score the fraud potential of the transaction. We trained and built a machine learning (ML) model using Cloudera Machine Learning (CML) to score each transaction according to their potential to be fraudulent.