Analytics and Decision Support
Can you articulate the financial impact of innovation on your business? Join the conversation and discuss topics that include: aligning innovation performance to strategy, increasing visibility to innovation data, improving cross-functional and global knowledge sharing, dealing with big data, and increasing the focus on results and organizational accountability.
Digital initiatives and strategies create buzz words in every industry but the buy in doesn’t always follow. The excitement and investment in smart factory sensors and processing capabilities is only justified as long as there is visible value provided that can be communicated in a meaningful way.
The European medical device industry is undergoing a transformation as the new European Medical Device Regulation is set to come into effect. As companies rethink their current strategies amidst the evolving regulatory landscape, they’re able to take market share from competitors by becoming an EU MDR compliance pioneer. Those organizations that are non-compliant will be unable to participate in the EU market until they are certified.
Discrete manufacturers and R&D professionals have long viewed product lifecycle management (PLM) as a means to enhance manufacturing and design process management, data integrity and digital mockup. While these capabilities serve as a baseline to address operational challenges, current out-of-the-box solutions lack the maturity to maximize the value of product data and quickly tie it to business decisions.
When handled correctly, data can be an organization’s most important resource. Data governance can help build a complete picture from the scattered pieces of the puzzle.
At Viewpoints on Innovation, our content is created for innovation practitioners, by innovation practitioners. We offer practical advice and insights based on real-world experiences and leading practices across a variety of industries, themes and functions. Here are our top ten innovation Viewpoints of 2017, ranked by unique page views. Enjoy!
ebo box provides you the key to gift giving by using artificial intelligence to take the stress out of holiday shopping.
Take these five steps to achieve value and adoption from disruption in the retail, footwear and apparel industry.
Powered by a state-of-the-art machine learning algorithm GOFIND gives users access to 100 million products from 1,000+ trusted online stores instantly making clothes shopping easier than ever.
Smart connected operations allow manufacturers to leverage emerging technology to tap the well of data at their fingertips, creating insights at scale that can be used to improve operational performance and discover new business models.
Siloed data. Unstructured data. Lack of connectivity. Lost opportunity. With all the data being generated and collected, internally and on the Web, machine learning can address the challenge of connecting the dots, drawing insights, and making better decisions.
As the quantity of big data expands, retailers need to become more efficient at collecting, organizing and managing data. Here are some ways retailers can monetize data with machine learning.
Medical devices are essential to our modern society. But the companies who make them face strict regulatory, quality and safety standards. To succeed, they must constantly innovate, drive down costs and navigate complex regulatory pathways.
Stewart specializes in finding practical analytical approaches to improve organizational performance across a wide range of industries, including healthcare, consumer goods, retail, education, and legal. He understands that good data analysis is a servant of good judgment, not a substitute for it. He would never ever apply analytics to darker ends, like sports betting, as that would be illegal and immoral.
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