Infinity
MARCH 3, 2022
Accurately tracking and improving campaign performance is at the top of every marketer’s wish list. Every ‘event’ that happens online can be gold dust for marketers. The greater the visibility you have of the data needed to track conversion events, optimise ads and re-target users, the stronger the position you are in as a marketer.
CCNG
MAY 17, 2023
Information on the internet is often Marketing, self-promotion or an opinion. To work in a customer service environment ChatGPT will always need a well-managed Knowledge Management system for it to retrieve its answers from that allows them to govern the information and have full control of the narrative.
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Nexmo
MAY 7, 2019
Partly, that’s code they write themselves but what makes modern software development so effective is that developers can easily build on the work of others through APIs. When you think of APIs it’s likely that some big names come to mind: Nexmo, the Vonage API platform; Stripe for payments; or one of the new Open Banking APIs.
AWS Machine Learning
FEBRUARY 6, 2024
Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug Administration (FDA). This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture.
AWS Machine Learning
FEBRUARY 13, 2024
SageMaker Feature Store now allows granular sharing of features across accounts via AWS RAM, enabling collaborative model development with governance. These need to be securely accessed by ML developers in other departments like marketing, fraud detection, and so on to build models.
AWS Machine Learning
NOVEMBER 16, 2023
With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Improve the quality and time to market for deep learning models in diagnostic medical imaging.
AWS Machine Learning
JULY 29, 2022
For example, in the financial services industry, you can use AI and ML to solve challenges around fraud detection, credit risk prediction, direct marketing, and many others. Then we focused on the technical part associated with building data products, self-service analytics, and federated computational governance principles.
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