AI-Data Hub Objectives

Create Awareness on AI-Based Business Use Cases, Processes, Data Model,Sample Demos ETC.

1

Identify the Al tools and frameworks such as TensorFlow, PyTorch and scimitar-learn for machine Learning

4

Provide a boutique showcase under one roof for Knowledge building, Sharing, Training, and winning projects

2

Set up Demo labs on various cloud Platforms sponsored by leading vendors

5

Build sample data sources, ensure quality, and set up ETL/Data lakes process to manage projects.

3

Establish a collaborative environment and workflow

6

Create Awareness on AI-Based Business Use Cases, Processes, Data Model,Sample Demos ETC.

7

Set up mechanisms for deploying and monitoring Al models.

10

Create an environment for experimentation and model development such as hackathon etc.

8

Encourage knowledge sharing and documentation at the Al hub.

11

Provide necessary libraries, frameworks, and computing resources for data exploration, model training, and evaluation.

9

Create a repository of best practices and code examples Continuous Learning and Improvement

12

For Business Owners!

Connect To Data

Connect To Business Value

Connect To Enterprise process

Connect To People

Center Of Excellence Benefits

Steps Involved In AI-Data Hub Set-Up

Identify Physical infrastructure such as office space with Internet and Cloud resources, Al frameworks, and libraries.

Identify potential partners (Universities, Cloud Vendors), stakeholders, and sponsors who can support your Al-Data hub.

Assemble a team with the necessary expertise in Al, Data, Security, and Integration.

Recruit Tech Graduates and train them as intern for future projects

AI DATA HUB LOCATIONS

US OFFICE

2107 N 1st St, Suite 205
San Jose
CA 95131, USA

Coming Soon

Coming Soon

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