AWS Machine Learning

FEBRUARY 13, 2024

Let’s demystify this using the following personas and a real-world analogy: Data and ML engineers (owners and producers) – They lay the groundwork by feeding data into the feature store Data scientists (consumers) – They extract and utilize this data to craft their models Data engineers serve as architects sketching the initial blueprint.

Accountability 110

Accountability Government Engineering Scripts 110

Aspect

DECEMBER 27, 2017

RFPs for chatbots have arisen in verticals as diverse as banking, government, healthcare, and retail. In 2018, we should see much better integration with customer data and analytics, bringing customer history, behavioral patterns, and big data into chatbot interactions.

Chatbots 116

Chatbots Contact Center Interactive Voice Response Enterprise 116

Vistio

OCTOBER 5, 2021

But over time, I moved into banking technology, I rose up the ranks and I ended up running all of the trading technology for a big French bank. And then after that job, I ran European technology for an American bank. I don’t want to get up early and go to the bank every morning.

Chatbots 52

Chatbots Contact Center Banking Technology 52