All Research
Topics
AWS Announces Third Availability Zone for Canada CentralAt the AWS Summit in Toronto on October 3, 2019, Amazon Web Services announced a third availability zone (AZ) for Canada Central, to be launched in 2020. A third AZ will... |
|
ACI Worldwide Enables Payment in the Aisle with UK Co-op StoresACI Worldwide’s UP eComerce Solution has launched in 30 Co-op food stores in the UK, utilizing its Mobile Commerce SDK. |
|
ServiceNow’s New York Release Brings a Price Increase in DisguiseServiceNow has mastered the art of implementing subtle license changes and price adjustments with each major release of its software, resulting in regular price increases... |
|
Certify Trustworthiness of Your AI Applications With Cortex CertifaiCognitiveScale announced an industry-first product ‒ Cortex Certifai ‒ that offers insights into the black box of machine learning and AI and helps organizations to... |
|
Trefis Analysts Pondered the Benefits of Google Buying Nutanix – and It’s Not a Bad IdeaShould Google’s parent, Alphabet, buy Nutanix? If analysts at forecasting software vendor Trefis have their way, the search giant should be signing the check. |
|
Mitigate Machine BiasAI is changing the fabric of our world, from the way we conduct business, to how we work and live, make decisions, and engage with each other, to how we organize our... |
|
Mitigate Machine Bias – Executive BriefRead this Executive Brief to understand the dark side of AI – algorithmic (machine) biases, how they emerge, why they are dangerous, and how to mitigate them. |
|
Mitigate Machine Bias – Phases 1-4This storyboard will help you to learn about machine (AI) biases and why and how to mitigate them. |
|
Mitigate Machine Bias – Phase 1: Understand AI BiasesThis phase of the blueprint, Mitigate Machine Bias, will help you learn about machine biases, how and where they arise in AI systems, and how they relate to human cognitive... |
|
Mitigate Machine Bias – Phase 2: Identify Data BiasesThis phase of the blueprint, Mitigate Machine Bias, will help you learn about data biases and how to mitigate them. |
|
