Migrate On-Premises Machine Learning Models to AWS Sagemaker

Categories: Digital TransformationTechnology

Author

Author

Subodh Kant Pandey

Senior Consultant

View all Articles

Top Insights

Best practices for selecting a software engineering partner

Best practices for selecting a software engineering partner

SecurityDigital TransformationDevOpsCloudMedia
7 RETAIL TRENDS POWERED BY MOBILE

7 RETAIL TRENDS POWERED BY MOBILE

MobilityConsumer and RetailMedia
My Intro to the Amazing Partnership Between the US Paralympics and the Telecom Industry

My Intro to the Amazing Partnership Between the...

Experience DesignPerspectiveCommunicationsMediaTechnology
Adaptive and Intuitive Design: Disrupting Sports Broadcasting

Adaptive and Intuitive Design: Disrupting Sports Broadcasting

Experience DesignSecurityMobilityDigital TransformationCloudBig Data & AnalyticsMedia

Top Authors

Dinki Chitkara

Dinki Chitkara

Test Engineer, Quality Assurance

Ramneek Sahib

Ramneek Sahib

Consultant

Abhishek Gedam

Abhishek Gedam

Principal Architect

Anil Wadhai & Vishal Umredkar

Anil Wadhai & Vishal Umredkar

Senior Solution Architect | Principal Architect, Technology

Ravikrishna Yallapragada

Ravikrishna Yallapragada

AVP, Engineering

Blog Categories

Importance of data science is at boom where the prime reason being the abundance of data generations and to understand the trends in this data can impact the business tremendously by providing various insights by generating models which provide support to data analysis, that being said, due to the 3Vs of big data it is instinctive that custom algorithms and models would perform better in providing the insights for a defined business field and there are some services that provide support to on-premise algorithm.

 

  • URL copied!