The key to a successful circular economy is utilizing the troves of unused data retailers already have to expand a product’s lifecycle and connect with interested consumers.
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Insights
Catch up on the latest insights and perspectives from Blueprint’s thought leaders.
Article
Held virtually for the second year, Microsoft highlighted shifts in its priorities and partner resources for the upcoming year. Here are the biggest takeaways from the event.
Article
With much of the DOD’s data infrastructure running on decades-old siloed legacy systems, it’s important for federal agencies to prioritize emerging technologies into their digital architecture. Rapid prototyping is the flexible, low-cost solution.
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By addressing inefficiencies within procure to pay (P2P) finance processes, companies can reduce costs while allowing employees to focus on proactive, not reactive, initiatives around purchasing and expenses.
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Retailers have the ability to cut costs by tapping into unused data to optimize their supply chain, while also keeping their products out of landfills. How can today’s practices of circular inventory management be improved?
Opinion
Understanding users’ motives, pain points and the context in which they are going to use a product or service is important early in the development stages of a project because it saves time and money.
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Have you ever wondered who translates popular software, apps and manuals? Are the localizers linguists, technology aficionados or maybe robots? The answer may surprise you.
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The supply chain is the perfect opportunity for a company to truly embrace digital transformation. Creating efficiencies, reducing costs and having positive customer experiences are within reach if you utilize your data.
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With our advanced video analytics product, NASH, we married object detection and tracking with neural networks to ensure fewer false positives. Here’s how it works.
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As technology advances and solutions and products require more niche specialties in the federal space, the right service integrators are necessary to help facilitate this change.
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To make the most of machine learning and artificial intelligence, an organization needs data scientists – and not just one. What makes a well-rounded data science team?
Opinion
As technology changes how customers shop, dine and even commute, establishing a modern inventory management system is critical for companies to remain competitive.
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