Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype. Not all of them require a unique front-end.

Data Science 117

Data Science Enterprise Experimentation Machine Learning 117

CIO Business Intelligence

SEPTEMBER 18, 2024

Salesforce first launched Einstein in 2016 , but the AI platform has evolved and expanded to address many common business tasks for specific audiences in the years since, including sales and marketing, e-commerce, and other routine but vital corporate functions. “We But at this point, we have not launched any of these capabilities.”

Digital Transformation 119

Digital Transformation Experimentation Sales Software 119

CIO Business Intelligence

JULY 31, 2024

The company has been bundling various forms of automation into its Einstein brand since 2016. Einstein Studio 1’s approach works best in scenarios where the enterprise has already found ways to move lots of behavioral data into the system. Salesforce is pushing the idea that Einstein 1 is a vehicle for experimentation and iteration.

Data Lake 119

Data Lake IT Sales Experimentation 119

Cloudera

APRIL 9, 2019

Enterprises are moving to the cloud. In 2016, 60.9% of application workloads were still on-premises in enterprise data centers; by the end of 2017, less than half (47.2%) were on-premises. Enterprises plan to implement new apps primarily in the cloud while migrating 20.7% of existing apps to public cloud.

Strategy 54

Strategy Experimentation Business Objectives Metadata 54

CIO Business Intelligence

FEBRUARY 8, 2024

He came to Edward Jones in 2016 after a 30-year career in technology on Wall Street and was named chief information officer in 2018. And I view them at both an enterprise level and a senior leadership level. How have these become the North Star for the organization? It is both a rally cry and a set of guiding principles.

Strategy 98

Strategy Risk Experimentation Technology 98

Hurwitz & Associates

FEBRUARY 20, 2018

I would divide the announcements (too many to list) into four buckets: Alexa for Business; enterprise expansion; support for Kubernetes, and AI/machine learning Tools. It provides a set of APIs to enable ISVs and enterprises to create their own collaborative services. Pushing deeper into the enterprise.

IT 56

IT Machine Learning Experimentation Enterprise 56

Sanjeev Mohan

FEBRUARY 6, 2019

My journey in helping our customers with their technical queries started when I joined Gartner in late 2016. GCP has gained acceptance for development and experimentation and more enterprise customers are putting it into production. This is the focus of my latest research which published in Jan 2019. I am glad you asked.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49