Skip To Main Content
Dipkumar Mehta on Muck Rack

Dipkumar Mehta

As seen in: Amazon Web Services (AWS)
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Dipkumar

Contact Dipkumar, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Voice-Activated AI Agent with Amazon Connect Customer and Amazon Bedrock

|
By Joyson Neville Lewis, Dipkumar Mehta
| Amazon Web Services (AWS)
A voice-activated AI agent can make contact center management significantly faster when the AI agents handling your calls need urgent changes. Supervisors running these AI agents on Amazon Connect Customer face a persistent operational challenge. When critical systems go down or AI agent behavior needs immediate adjustment, the path from decision to action involves multiple console logins, manual configuration changes, and time-consuming verification steps.
Open in Who Shared Issue with article?

Tailored support at scale: Turning a unified Salesforce KB into LOB-focused AI agents | Amazon Web Services

|
By Bhaskar Rao, Dipkumar Mehta, Murtuza Kainan
| Amazon Web Services (AWS)
AWS Contact Center In today’s hyper-connected world, customer support teams must juggle an ever-growing portfolio of products and services all within a single CRM like Salesforce. Agents need instant access to the right information, yet they too often find themselves wading through a monolithic, consolidated knowledge base that spans every line of business (LOB) from telecom billing to insurance claims to retail returns.
Open in Who Shared Issue with article?

[2505.08837] Adaptive Security Policy Management in Cloud Environments Using Reinforcement Learning

|
By Dipkumar Mehta, Fnu Yashu, Shubham Malhotra
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (390) Issue with article?
See all 4 articles