15
Mar
Amazon Comprehend for Named Entity Recognition
-
By
admin
This is the first of a series of blogs on AI services provided by AWS. This blog discusses an NLP service that...
AI/ML
04
Mar
Orchestrating Pipelines using MLOps Workload Orchestrator
-
By
In our previous blogs, we discussed SageMaker Pipelines, their different implementations and the benefits of...
07
Dec
Combining SageMaker Pipelines with SageMaker Projects
-
By
In the previous blog, we discussed SageMaker pipelines and how they can be implemented using notebooks in Sage...
23
Nov
Generating ML Workflows using Amazon SageMaker Pipelines
-
By
MLOps is a set of practices that pertains to deploying and maintaining machine learning models in production. ...
17
Dec
AI for Process Improvement
-
By
Have you ever noticed how there are patterns to almost everything? Patterns bring order to chaos and structure...
29
Oct
AI – Aiding Seamless Digital Transformation
-
By
The two technologies that everyone is talking about are Digital Transformation and Artificial Intelligence. It...
21
Oct
Data-Driven Business Outcome – Making AI Available for All
-
By
Alok Ranjan
Data is the new oil! This message rhymes well in any intelligent conversation among the business leaders. Exec...
20
Feb
An Executive’s Approach to Machine Learning – Part 1
-
By
Machine learning has been closely observed and implemented by the executive community across the globe. As the...
11
Oct
Real-time time-series analysis for IoT
-
By
Ajit Kumar
One of the most important dimensions, when we talk about data analysis, is - Time. Same is applicable to IoT w...
05
Apr
Consuming Microsoft Azure Cognitive Services in Xamarin.Android Application
-
By
Overview
Customer service rating plays an important role in determining user satisfaction with the company’s s...