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How to manage data integration during an acquisition

CIO

IT teams hold a lot of innovation power, as effective use of emerging technologies is crucial for informed decision-making and is key to staying a beat ahead of the competition. Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets.

Data 319
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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

Vitech helps group insurance, pension fund administration, and investment clients expand their offerings and capabilities, streamline their operations, and gain analytical insights. These documents are uploaded and stored in Amazon Simple Storage Service (Amazon S3), making it the centralized data store. langsmith==0.0.43

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The new challenges of scale: What it takes to go from PB to EB data scale

CIO

Start with storage. Going from 250 PB to even a single exabyte means multiplying storage capabilities four times. When adding more storage nodes, it is important to ensure that the capacity addition is more optimal and efficient. Focus on scalability. So, how do we achieve scalability?

Data 159
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The impact of AI on edge computing

CIO

Edge devices preprocess data locally, sending only relevant information to the cloud. Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage. Dell’s edge storage solutions provide the necessary capacity and performance for local applications.

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Transforming Information into Insights: Visual Analytics

Datavail

Visual analytics tools are how businesses turn cold, hard data into clear, beautiful visualizations. The right choice of visual analytics tool will dramatically simplify your data visualization workflows, offering pre-built templates to convert datasets into visual representations (e.g. 5 Visual Analytics Tools for Data Visualization.

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5 modern challenges in data integration and how CIOs can overcome them

CIO

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. This complicates synchronization, scalability, detecting anomalies, pulling valuable insights, and enhancing decision-making. The complexity doesn’t end here. CIO, Data Integration

Data 313
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Embracing the future with AI at the edge

CIO

Healthcare monitoring: Edge AI facilitates remote patient monitoring, predictive analytics and faster diagnostics, revolutionizing healthcare delivery and patient care. Smart cities infrastructure: From traffic management to public safety, edge AI enhances efficiency by processing data locally to enable quick, informed decisions.