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Using machinelearning in conjunction with existing businessintelligence solutions can give retailers and manufacturers a much more accurate and realistic insight into future demand, even in uncertain times. One global retailer reported that machinelearning led to $400 million in annual savings and a 9.5
It offers a visual and intuitive UI that enables anyone to explore and prepare data for machinelearning, no matter their previous machine-learning experience. DataRobot combines traditional data science approaches and the best in emerging machinelearning. DataRobot is just such a platform. Download Now.
In the past, businessintelligence (BI) operated like looking in a rear-view mirror, working from historical data to make decisions. And business users were forced to wait for IT teams to deliver insight with many delays. Obviously, this process didn’t meet the needs of modern digital businesses.
Learn more from guest blogger Ikechi Okoronkwo, Executive Director, BusinessIntelligence & Advanced Analytics at Mindshare. MachineLearning and AI Fuel Media Governance, Performance Success, and Analytics. AI in Customer Analytics: Tapping Your Data for Success. Download Now.
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Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machinelearning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: [link] Linkedin: [link]. She started her own startup (Cubicus) in 2013.
When seeking a data analytics solution, look for machinelearning (ML) and artificial intelligence (AI) capabilities. These tools provide you with highly actionable businessintelligence without requiring an army of data analysts and software engineers to oversee the process.
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