Rapid 2-Week Program Helps Companies Identify and Prioritize Appropriate Business Cases and Remove Common Roadblocks to Implementation
Anexinet Corporation, a leading provider of digital business solutions, announced its new Machine Learning Kickstart Program. The Anexinet Team directs companies through a 2-week process to identify the best use cases for Machine Learning (ML), then build a road-map to achieve goals and overcome barriers to realizing a successful implementation for driving business decisions and processes.
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According to a new update to the International Data Corporation (IDC) “Worldwide Semiannual Cognitive Artificial Intelligence Systems Spending Guide,” spending on cognitive and AI systems will reach $77.6 billion in 2022, more than three times the $24.0 billion forecast for 2018. The compound annual growth rate (CAGR) for the 2017-2022 forecast period will be 37.3%.
Despite the IDC growth projections, businesses still face many challenges when attempting to adopt machine learning. “Many organizations view ML as a distinctive advantage, but suffer a knowledge gap in their IT team’s ability to effectively implement,” said Anexinet Senior VP of Analytics and Machine Learning, Michael Golub. “To fill this gap, Anexinet enables organizations to quickly identify ML use cases and ready their IT team—with a comprehensive overview of the technical, process, and personnel decisions necessary to successfully execute ML, and a realistic action plan for measurable success.”
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Everyone deserves a great digital experience. Anexinet customers benefit from our holistic approach—from engaging front-end interactions to dependable back-end solutions, all informed by data-driven insights. Because truly great digital experiences rely on the smooth operation of all interconnected elements: beautiful front-end applications, modern distributed architecture, private/public cloud, Dev/Ops and Agile/SAFE processes, and data-driven insights. We call this the Complete Digital Experience. Some companies focus on application design. Others handle your infrastructure
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