SAP Doubles Down on Machine Learning
As organizations attempt to create new digital services that drive additional revenues, many of them are realizing existing approaches to data management no longer meet their requirements.
As organizations attempt to create new digital services that drive additional revenues, many of them are realizing existing approaches to data management no longer meet their requirements.
The combined solution speeds up customized BI visualizations of operational data for improved insights.
New APIs add real-time visual search, object detection, tracking, and on-device translation for Android and IoS developers.
A CIO can often be cast today in an advisory role, helping the entire enterprise, rather than a single department, to improve KPIs.
Corporate educator TDWI has published an eBook on five engineering requirements for machine learning deployment.
Databricks recently announced a new release of MLflow, an open source, multi-cloud framework for the machine learning lifecycle, now with R integration.
SAP has deployed machine learning algorithms into their Analytics Cloud as part of an effort to deliver real-time analytics.
Mobile app builder Appy Pie has added artificial intelligence (AI), machine learning, and chatbots to its DIY App builder platform.
OneShield’s clients can now use UrbanStat’s automated statistical and geographic modeling technology for machine learning.
Google rolled out a lot of expanded offerings at their recent Google Next 2018, including leveraging machine learning and new edge processing capabilities.