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2020 AI Trends: Here's Why People Actually Want More Machines In The Workplace

#artificialintelligence

Artificial intelligence (AI) and machine learning will be everywhere, and we will learn to love them for all the right reasons. Let's begin with the big picture. Gartner analysts said that AI -- with a particular emphasis on machine learning -- will eventually infiltrate just about every existing technology. IDC predicted companies will invest over $265 billion worldwide in new intelligence technologies by 2023. Slightly further out, IDC researchers predicted that AI will be inescapable by 2025.


Video Knowledge Center

@machinelearnbot

Tala's Director of Data Analytics Lauren Moores provides insight into how the company uses mobile data to give financial identi... Adra Graves, senior data analyst at OpenTable, highlights the problems that arise when analysts and data scientists are spread ... Annie Flippo, manager of analytics at Thinknear by Telenav, shares some insight into how her team uses GPS data and capabilitie... Hawthorne Direct's Head of Technology Sarah Arnett shares her rationale for bringing data science, engineering, and product und... Beachbody's Director of Data Aarthi Sridharan talks about the roadblocks she has encountered trying to align business stakehold... Women make up nearly half of the U.S. workforce -- but only 24% of STEM workers are women, according to the Census Bureau. How Do We Get More Women into Data Science? We asked panelists and attendees at our DataScience: Elevate - Spotlight: Women in Technology event to share with us the data s... Amgen Principal DevOps Lead and Data Scientist Pam McCaslin explains how the pharma company uses DevOps to shorten the time it ... Verizon Wireless Data Scientist Aurora LePort builds predictive models to understand customer churn and other behaviors. We asked experts at Verizon Wireless, Netflix, Oracle, and other companies where they see machine learning and artificial intel... What Does the Future Hold for Machine Learning? Shiny applications are ideal for non-technical decision makers who want a code-free way to interact with data.


Siemens' AI Work Delivers Competitive Advantage in IIoT

#artificialintelligence

You may think of German industrial powerhouse Siemens as being primarily a machine builder, but the company has a range of digital offerings that span throughout the entire value chain in manufacturing. From product development, production engineering, and production execution, the company offers a consistent data model across all levels of manufacturing, thanks to its product lifecycle management, digital twin software, and MindSphere IoT platform. Content Director Brian Buntz wrote recently about the resources Siemens is throwing at software, and while that's significant, I'm more interested in Siemens' AI and machine learning work. Michael May, Ph.D., the company's head of technology field business analytics and monitoring, told me at Hannover Messe that the corporation has been working on AI projects for decades. For instance, more than 20 years ago, Siemens implemented neural networks in more than 30 steel plants to monitor and improve quality, process, and efficiencies.


Siemens' AI Work Delivers Competitive Advantage in IIoT

@machinelearnbot

You may think of German industrial powerhouse Siemens as being primarily a machine builder, but the company has a range of digital offerings that span throughout the entire value chain in manufacturing. From product development, production engineering, and production execution, the company offers a consistent data model across all levels of manufacturing, thanks to its product lifecycle management, digital twin software, and MindSphere IoT platform. Content Director Brian Buntz wrote recently about the resources Siemens is throwing at software, and while that's significant, I'm more interested in Siemens' AI and machine learning work. Michael May, Ph.D., the company's head of technology field business analytics and monitoring, told me at Hannover Messe that the corporation has been working on AI projects for decades. For instance, more than 20 years ago, Siemens implemented neural networks in more than 30 steel plants to monitor and improve quality, process, and efficiencies.


2020 AI Trends: More Machines in the Workplace SAP News

#artificialintelligence

Artificial intelligence (AI) and machine learning will soon be everywhere, and we will learn to love them for all the right reasons. That is my prediction after seeing the latest research about these fast-evolving technologies. Begin with the big picture: Gartner analysts said that AI -- with a particular emphasis on machine learning -- will eventually infiltrate just about every existing technology. IDC predicted companies will invest over $265 billion worldwide in new intelligence technologies by 2023. Slightly further out, IDC researchers predicted that AI will be inescapable by 2025.