Remove Information Remove Machine Learning Remove Scalability
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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. It stores information such as job ID, status, creation time, and other metadata. The invoked Lambda function creates new job entries in a DynamoDB table with the status as Pending.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO

to identify opportunities for optimizations that reduce cost, improve efficiency and ensure scalability. Software architecture: Designing applications and services that integrate seamlessly with other systems, ensuring they are scalable, maintainable and secure and leveraging the established and emerging patterns, libraries and languages.

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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO

For chief information officers (CIOs), the lack of a unified, enterprise-wide data source poses a significant barrier to operational efficiency and informed decision-making. An analysis uncovered that the root cause was incomplete and inadequately cleaned source data, leading to gaps in crucial information about claimants.

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The Importance of Kubernetes in MLOps and Its Influence on Modern Businesses

Dzone - DevOps

MLOps, or Machine Learning Operations, is a set of practices that combine machine learning (ML), data engineering, and DevOps to streamline and automate the end-to-end ML model lifecycle. MLOps is an essential aspect of the current data science workflows.

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Bud Financial helps banks and their customers make more informed decisions using AI with DataStax and Google Cloud

CIO

By Jude Sheeran, EMEA managing director at DataStax When making financial decisions, businesses and consumers benefit from access to accurate, timely, and complete information. Embrace scalability One of the most critical lessons from Bud’s journey is the importance of scalability. Artificial Intelligence, Machine Learning

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

These meetings often involve exchanging information and discussing actions that one or more parties must take after the session. This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call.