Tagged - AI applications

Generative AI Use Cases for Marketing, Sales, and Customer Service

It is tempting for businesses to rush into using generative AI tools without fully understanding the benefits and drawbacks of the technology. This report will help you...

Generative AI Use Cases for Marketing, Sales, and Customer Service Storyboard

Use this storyboard to learn the high-level use cases and potential challenges of generative AI technology for marketing, sales, and customer service.

Addressing the Cybersecurity Talent Shortage in Government

Cyberattacks impact governments, businesses, and individuals through compromised critical infrastructure; disruption to essential services, power, and communication...

Addressing the Cybersecurity Talent Shortage in Government Storyboard

Governments are at risk from cyberattacks as they become more digital, requiring them to take measures to enhance their cyber resilience. A common challenge is getting...

Amazon Is Offering Its Cashierless Store Technology to Other Retailers

Amazon is offering its cashierless store technology to other retailers. The technology known as “Just Walk Out” eliminates checkout lines, offering an “effortless”...

Databricks and Immuta Partner to Provide End-to-End Data Governance for Machine Learning

Databricks, a data processing and analytics platform with a strong focus on AI and ML, has partnered with Immuta to deliver automated end-to-end data governance for AI,...

KPMG Ignite – the Swiss Army Knife of AI?

I recently had an opportunity to speak with a KPMG partner in the Canadian risk consulting practice and with the head of data science for Canada about several things,...

SAS Looks to Leverage AI to Feed the World

SAS is creating a new agricultural technology business unit and has partnered with the North Carolina Plant Sciences Initiative to help next-generation farmers and...

Amazon Releases SageMaker Studio – An IDE for Machine Learning

Last month Amazon released SageMaker Studio, an IDE for machine learning (ML). The objective for this new-ish offering was to address “immature tooling” in ML and make it...

Cloudera Shares Customer Lessons on How to Scale Production Machine Learning

To make machine learning (ML) repeatable and scalable, you need to invest in serving infrastructure (the “last mile”), ML operations, and governance, says Cloudera’s Sr....
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