Forrester: Enterprise ML Development Maturing
The three key goals for ML deployment include improved customer experience, increased profitability, and revenue.
HPE Applies DevOps to AI Models
A new HPE initiative aims to accelerate AI model building by reducing data scientist dependencies on internal IT
With Real-Time, What Data Center Management Will Look Like in 2019
In 2019, with the real-time data wave, expect to see growth in technologies that will continue to remove complexity from the data center and its
HELLO 2019: 3 Ways IT Teams Will Change in the New Year
Predictions from Andi Mann, Chief Technology Advocate at Splunk, on how 2019 may see more emphasis on the "New IT" ecosystem's
Splunk Sees AI Moving from Early Adopters to Mainstream in 2019
From fraud adoption to IT optimization, both AI and ML will deliver on years of promise as the early adoption phase gives way to more mainstream
How AI and ML Can Improve Exploding Cloud Computing Needs
With 90% of the world's data created in the last two years, the cloud risks becoming a dumping ground. Here is how AI and ML can help clean it
Databricks Launches First Open Source Framework for Machine Learning
Databricks recently announced a new release of MLflow, an open source, multi-cloud framework for the machine learning lifecycle, now with R
SAP Analytics Cloud Gains Certification from IBCS
SAP has announced its Analytics Cloud is now certified by IBCS, a set of business standards for presentations, reports, and
Translating Tech Buzzwords to ROI the Biggest Challenge of 2018?
In 2018, .cloud see industries starting to translate today's tech buzzwords -- AI, ML, blockchain & big data -- into tangible business value and
What is the Role of Standards, Big Data and Analytics in Manufacturing?
Manufacturing has been traditionally complex, so how do you inject today's new technologies of big data, real-time analytics, and interoperability into
