Remove APIs Remove Best practices Remove Big data Remove Sales
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10 Best Practices to Develop Your Digital Transformation Framework

aircall

By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. Partnerships and alliances: provision for tools, analytics, capturing data, etc. Shortens your sales cycle. Increases productivity.

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How SaaS Software Can Help Sync Your Sales & Support Teams

aircall

Let’s look specifically at how SaaS software can help sync your sales and support teams so they work together in perfect harmony. Improve sales workflows. For example, sales and support teams have been using CRM systems for quite some time. Try Freshsales , Outreach , Pipedrive , OneUp Sales. Increase revenue.

SaaS 62
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Why Access to Customer Data is Essential for Sales Performance

aircall

By 2025, global data is projected to grow to 175 zettabytes. What happens to all this data? For some businesses, they use this customer data to gain unique insights to improve things like sales performance or the customer experience. Data can also be used to analyze or guide decision-making and future activities.

Sales 62
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Reduce food waste to improve sustainability and financial results in retail with Amazon Forecast

AWS Machine Learning

To achieve these operational benefits, they implemented a number of best practice processes, including a fast data iteration and testing cycle, and parallel testing to find optimal data combinations. We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket.

APIs 97
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Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

AWS Machine Learning

In the global retail industry, pre- and post-sales support are both important aspects of customer care. Real-time text classification To use Amazon Comprehend custom classification in real time , you need to deploy an API as the entry point and call an Amazon Comprehend model to conduct real-time text classification.

APIs 61
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Identify rooftop solar panels from satellite imagery using Amazon Rekognition Custom Labels

AWS Machine Learning

To test the model output, we use a Jupyter notebook to run Python code to detect custom labels in a supplied image by calling Amazon Rekognition APIs. The solution workflow is as follows: Store satellite imagery data in Amazon S3 as the input source. Store satellite imagery data in Amazon S3 as an input source.

APIs 70
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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

In this post, we provide an introduction to text to SQL (Text2SQL) and explore use cases, challenges, design patterns, and best practices. Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members.