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Exploring real-time streaming for generative AI Applications

AWS Big Data

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. As new data appears, you will have to continuously fine-tune or further train the model.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. Another way to find the metric you want to change is to look at your business model. That metric is tied to a KPI. That's your goalpost.

Metrics 156
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Top 10 Key Features of BI Tools in 2020

FineReport

They prefer self-service development, interactive dashboards, and self-service data exploration. Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. Interactive visual exploration.

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Power enterprise-grade Data Vaults with Amazon Redshift – Part 1

AWS Big Data

As with all AWS services, Amazon Redshift is a customer-obsessed service that recognizes there isn’t a one-size-fits-all for customers when it comes to data models, which is why Amazon Redshift supports multiple data models such as Star Schemas, Snowflake Schemas and Data Vault.

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Best practices for enabling business users to answer questions about data using natural language in Amazon QuickSight

AWS Big Data

QuickSight is a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale. Just as data is prepared visually using dashboards and reports, it can be readied for language-based interactions using a topic. Duration : How long?

Sales 68
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The art and science of data product portfolio management

AWS Big Data

Taken together, the posts in this series lay out some possible operating models for data mesh within an organization. Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on).

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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

One of our ProServe teams has 19 dashboards on QuickSight, including Catalog, Trend and Analysis, KPI Monitoring, Business Management, and Quality Control. In 2022, one of the KPI Monitoring dashboards helped save at least 5,600 hours in total across 230 managers and 2,000 consultants. This manual process was time-consuming and costly.