Primarily, the main use case for Amazon Connect as a contact solution is to integrate with a CRM solution and do screen pop-up and CTI integrations.
You can also get real-time insights from your call conversation or do call summarization and send that information back to your customer.
You can convert those conversations into text language and run machine learning models or AI models on top of that, providing insights through call summarization.
Amazon Connect is an integrated solution, which is attractive because a customer doesn't have to worry about which product to buy; they buy one product and that gives them everything. The functionalities such as speech-to-text for call summarization are much easier to configure now compared to earlier days.
The machine learning models allow for near real-time data analysis and insights about customer opportunities and challenges.
Automation with AI-powered services has improved significantly. The system takes care of collecting notes for agents, allowing them to focus on the customer's problems. It also understands problems and recommends solutions, making agents more informed compared to earlier setups.
Amazon Connect should have a solution for customers who have heavily invested in previous CCaaS solutions; a proper roadmap could make it easier for customers to migrate over the platform.
We have been using it for a long time.
I rate Amazon Connect's customer service or technical support as good.
I would rate them an eight to nine out of ten.
Customers usually switch over from different solutions. Many are moving towards AWS infrastructure, which prompts them to consider Amazon Connect.
I am not much involved in budget management for Amazon Connect, as it's the customer's responsibility. We guide them on the best approaches, but the decision is theirs to make.
Amazon Connect's pricing is good. Customers are satisfied with it and are paying for it, so there's nothing much to complain about.
All solutions such as NICE or Genesis are good but are more traditional standalone solutions, whereas customers are leaning towards integrated solutions such as Amazon Connect with a pay-as-you-go model.
Amazon Connect currently has the maturity for that model.
I have experience with both Oracle and Azure. I deal with Linux products, and my presentation was for analytics only. We do analytics, AI, machine learning, and data engineering.
Primarily Azure is where I've been involved the most, with some experience on the Oracle side. We use a data lake environment for data segregation, then integration with Power BI or AI Fabric.
Data ingestion is done using Data Factory, and sometimes Databricks is used to integrate with the data lake environment to run machine learning processes. Power BI creates reports for end users from the data lake environment.
I lead a team as a strategic architect, overseeing how solutions can be implemented. Databricks is a product that can be integrated with any cloud provider, though my experience has been mostly with Azure. For current engagements, we've purchased it through the Azure platform marketplace.
I deal with Azure data tools and have experience with Amazon Connect and AWS machine learning programs. For omnichannel communication, requests come from multiple channels such as chat, phone, or web.
Some customers prefer dedicated resources for each area, while others prefer an omnichannel approach.
We use Data Factory most of the time, along with Databricks for data migration. We also use Azure OpenAI.
My overall rating for Amazon Connect is 8 out of 10.