Remove Business Analytics Remove Innovation Remove Machine Learning
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Rebalancing through Recalibration: CIOs Operationalizing Pandemic-era Innovation

CIO

Kamal Nath, CEO, illustrates how Sify managed to operationalize pandemic era Innovation and how CIOs can follow suit in their journey. “We He focuses on the strategic insights into how businesses would operate in the future. Innovation starts with a CIO,” Kamal says. CIO, Digital Transformation

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

He has extensive experience designing end-to-end machine learning and business analytics solutions in finance, operations, marketing, healthcare, supply chain management, and IoT. She innovates and applies machine learning to help AWS customers speed up their AI and cloud adoption.

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Want to Drive Industry Breakthroughs or Speed Up Innovation? Start by Optimising Your HPC and AI Workloads

CIO

Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes. To discover how workload profiling can transform your business or organisation, click here. Optimising HPC and AI Workloads.

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Pentaho Continues To Innovate: Data Science Pack Operationalizes Use of R and Weka

CTOvision

SAN JOSE, Calif. , June 3, 2014 /PRNewswire/ – Hadoop Summit – According to the O’Reilly Data Scientist Salary Survey , R is the most-used tool for data scientists, while Weka is a widely used and popular open source collection of machine learning algorithms. Learn more about the Pentaho Data Science Pack.

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Business Analytics tools & use cases

Apiumhub

More data is available to businesses than ever, which is why business analytics is a growing field. Airlines may rely on business analytics to determine ticket prices, for example, while hospitals use data to optimize the flow of patients or schedule surgeries. What is Business Analytics?

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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. About the authors Vicente Cruz Mínguez is the Head of Data & Advanced Analytics at Cepsa Química. Guillermo Menéndez Corral is a Sr.

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Forget the Rules, Listen to the Data

Hu's Place - HitachiVantara

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

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