Expectation from GenAI-Natural language description of trends, explanations of relationships, etc.

Impact-Better automated analysis and dashboards

Expectation from GenAI-Given R code, return Python code or vice versa

Impact-Easier production, since we do all our dev in R

Expectation from GenAI-Tag various sub components of an address

Impact-To do better address validation and externalisation

Expectation from GenAI-correct typos

Impact-To better address validation and externalization

Expectation from GenAI-Automation of Kafka connectors Gen AI-based automation. Currently lot of team effort is required to build kafka pipelines which is just few configs.

Impact-Reduce manual effort & increase team productivity

Expectation from GenAI-Notify or flag any instances where the use case mentioned in the ADO is not addressed in the code being deployed to production.

Impact-Reduce incidents and outages

Expectation from GenAI-Given a repo, generate code documentation and unit test cases

Impact - Makes it easier for developers to understand legacy codes and address unit tests related to tech-debts

Expectation from GenAI-Look at time-series data before and after a feature release to quantify the impact of said feature/improvements

Impact-This will help in productivity and Impact analysis

Expectation from GenAI-Explain how a given piece of code works

Impact-This will help in productivity and Impact analysis

Expectation from GenAI-Query our DWH using natural language. \"How many shipments did we pick up yesterday?\" \"Tell me the trend in service levels in the last 2 weeks\" etc.

Impact-Data Democratisation

Expectation from GenAI-Multi Document query through a conversational agent

Expectation from GenAI-Auto answer common customer queries using natural language (email, conversational agent)

Expectation from GenAI-Create Standard Operating Procedures with scattered information, which improves search indexing as well