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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

@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.


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.


Customer Risk Profiling using Machine Learning in Lending

#artificialintelligence

With technological advancements and Big Data, businesses are building more complex techniques and algorithms to identify risks. Using Machine Learning techniques, businesses are able to build Customer Risk Profiling models which enable the identification of likelihood and probability of customers being a risk. Machine learning, is beginning to create new avenues in the lending market. Machine Learning is an extension of artificial intelligence, that enables computers or robots with the ability to learn, analyze and predict, using algorithms that iteratively learn from data. It empowers the system to learn and adapt itself.


CAMP3's intelliSCOUT 2.0 Will Power the Future of Agriculture

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ALPHARETTA, Ga., Sept. 5, 2017 /PRNewswire-iReach/ -- intelliSCOUT, the world's first cloud-based automated intelligent machine learning platform for agriculture, will roll out major enhancements this fall to bolster access for farmers in the field. Building on the overwhelming reception from universities, seed companies and countries across the globe, intelliSCOUT 2.0 will offer a new user interface and user experience designed to foster more collaboration as well as offer better prioritization of tasks and imagery analysis. A proven leader in the smart agriculture market, which is projected to grow from $5.18 billion in 2016 to $11.23 billion by 2022, according to report by Markets and Markets, intelliSCOUT is the world's first cataloged library of metadata-tagged imagery for plant biology in agriculture. The product is owned by CAMP3, a leader in network solutions with an emerging innovative business unit that develops industry-specific cloud solutions. The library, which is updated daily, houses tens of thousands properly tagged images for machine learning to digitize phenotyping across eight different crops and more than 20 diseases and pests.