Big changes in AI, machine learning applications, tools, techniques, platforms, and standards are on the horizon.
Using AI to Identify Your Best Customers in the Future
AI and predictive analytics are still making an impact for businesses in terms of identifying customer trends, building customer profiles, and constructing tighter potential target audiences.
Microsoft Research AI Ethics Checklist Crafts Principles for Designing AI DevOps Processes
Microsoft Research AI ethics checklist is a set of published principles for designing ethics checklists that can be readily operationalized in AI DevOps processes. We commend Microsoft Research’s recent effort to catalyze consensus within the practitioner community for the purpose of developing clear principles for designing operationalizable AI ethics checklists.
Superwise.ai Addresses Growing Enterprise Need for AI Model Assurance
Superwise.ai addresses a growing enterprise need for AI model assurance. That said, there are both challenges and opportunities ahead for this AI startup. Model assurance is the ability to determine whether an AI application’s machine learning (ML) models remain predictively fit for their assigned tasks. This is a critical feature of any operational AI DevOps platform, which is one of the reasons Superwise.ai caught my attention. I see both challenges and opportunities ahead for this AI startup.
5 AI And Analytics Trends Marketers And Brands Should Be Investing In
Clearly there are some big AI and analytics trends for 2020. The following are a few trends that can help grow and improve your company this year.
NVIDIA Acquisition of SwiftStack Facilitates Cloud-to-Edge Data Management for AI and HPC
It is apparent that NVIDIA recognizes its current market-leading status in AI chipsets won’t necessary last forever. By focusing on the enterprise stack—the data center, enterprise computing, and all things related to the future of AI in the enterprise, the company plots a path forward that allows it to sustain its impressive growth record. The company’s acquisition of SwiftStack provides NVIDIA with a software-driven data storage and management platform for acceleration of deep learning, analytics, and high-performance computing applications across multiclouds.
Deepfake Technology Loses Its Stigma Amid Socially Redeeming Uses
As governments everywhere grapple with issues surrounding use of AI-driven facial recognition, they’ll have to consider how to factor facial deepfaking into their regulatory frameworks. Even if there were a surefire way to identify deepfakes, banning them would run afoul of free-speech guarantees in democratic nations.
Microsoft’s Power Automate Nears GA Propelling RPA Forward
Microsoft announced Power Automate will include UI flows in the coming weeks along with a new pricing structure strongly positioning Microsoft in RPA.
The Human and Machine Workforce Leading Digital Transformation
Human and Machine partnerships will be about augmenting human potential to make people more productive and customer experiences better. Let’s take look at how augmenting humans will drive the next wave of digital transformation.
Algorithmia Integrates AI Model Governance with GitOps
Algorithmia integrates AI model governance with GitOps, integrating ML and code development into DevOps workflows that use Git as a source-code repository. With this announcement, Algorithmia has made it easier to use GitHub to break down the silos that traditionally have kept ML developers and application coders from integrating tightly within today’s continuous DevOps workflows.