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Big Changes Need Big Data 

Playvox

On June 1, 2021, SoFi became a publicly-traded company on the Nasdaq Global Market (Nasdaq). This period of high-stakes decisions and operational scrutiny required a clear and accurate view into many things, including SoFi’s Member Service Teams quality assurance data. How did SoFi utilize Playvox to capture the best of both worlds?

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

The applications also extend into retail, where they can enhance customer experiences through dynamic chatbots and AI assistants, and into digital marketing, where they can organize customer feedback and recommend products based on descriptions and purchase behaviors. An orchestrating agent coordinates the different components.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning

Historic transactional demand data, location-based weather information, holiday dates, promotions and marketing campaign data are the features used in the model as shown in the graph below. These daily predictions are subsequently broken down into hourly segments, as depicted in the following graph.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

These need to be securely accessed by ML developers in other departments like marketing, fraud detection, and so on to build models. For example, the marketing team may only get access to the customer profile feature group needed for recommendation models. Their task is to construct and oversee efficient data pipelines.

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Top QA Testing Trends of 2020

CSM Magazine

Together, these practices have already been helping to mechanize constructing, testing, and discharging programming at a much faster and more dependable rate than traditional methods. Big Data – Today’s companies are dealing with enormous and diverse amounts of data that require management on a daily basis.

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Brand matters… now more than ever

C Space

Every week, at every conference, on every industry news site, in every boardroom – there’s talk of change: new competitors, new market shifts, new channels, new audiences, new data – and so it goes on. Consumers are rejecting the big brand narrative. Keeping Up with the Joneses is a relatively simple construct.

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Improving Sales Efficiency With Data & Technology

aircall

Marketers often complain that they’re generating lots of leads for your sales teams, but sales reps aren’t converting them to customers. When the sales and marketing departments work together, both teams increase the capabilities of the other to successfully meet their goals. Tap into big data.

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