{"id":1029,"date":"2021-10-14T08:38:53","date_gmt":"2021-10-14T08:38:53","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2021\/10\/14\/machine-learning-in-retail\/"},"modified":"2021-10-14T08:38:53","modified_gmt":"2021-10-14T08:38:53","slug":"machine-learning-in-retail","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2021\/10\/14\/machine-learning-in-retail\/","title":{"rendered":"Machine Learning in Retail"},"content":{"rendered":"
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Machine Learning is transforming many industries, and without a doubt, the retail sector is one of the prime examples with lots of green field opportunities given the almost endless range of possibilities that digital transformation is presenting to businesses and organizations. Companies large and small within the retail industry can benefit from Machine Learning-powered smart applications<\/strong> and use those insights to stay ahead of their competitors by improving processes, reducing costs, and enhancing revenue streams.<\/p>\n

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In this webinar<\/strong><\/a>, our expert speakers will present real-world examples that showcase how Machine Learning is deployed in the retail industry,\u00a0as a variety of companies that leverage their customer and supplier data to enable a data-driven approach in order to make the right decisions on a continuous basis.<\/p>\n

What<\/h2>\n

Free webinar<\/a><\/strong> jointly presented by BigML<\/a> and CatsAi<\/a>. <\/p>\n

When<\/h2>\n

1-hour live webinar on Wednesday, November 3<\/strong>, 2021, at 4:00 \u2013 5:00 PM CET \/ 11:00 AM \u2013 12:00 PM EST.<\/p>\n

Speakers<\/h2>\n
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Agenda<\/h2>\n
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Registration<\/h2>\n

Please reserve your spot here<\/a><\/strong>. The event is ideal for professionals working in the different areas of retail including restaurants, bakeries, groceries, clothing, home appliances, furniture, motor vehicles, among many others. Those generally interested in finding out about how Machine Learning is impacting the retail sector are also welcome to join the webinar.<\/p>\n

We look forward to welcome you online and hope you enjoy the webinar!<\/p>\n

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