Monday 31 January 2022

VB Daily | January 31 - How automated testing keeps the customer satisfied

Daily Roundup
Presented by   
The Lead
[1] Cyara looks to improve customer interactions by automating CX testing 
[2] Budibase brings open source to low-code web app development
The Follow
[1] Customer service is everything: all it takes is one bad experience with a company for customers to take their business elsewhere. 
This means that companies must be on point with digital customer interactions, according to Cyara CEO and cofounder Alok Kulkarni, making automated customer experience (CX) and contact center testing essential.
Cyara, which today announced it secured $350 million in funding, looks to optimize the shift to automated CX by testing omnichannel customer journeys and their various transition points. These techniques include functional, regression, and load performance testing, whether the customer contacts the company via phone, web, web chat, SMS, email, or other channels.
"Organizations can succeed or fail based on their customer experience," Kulkarni said. "More and more companies are realizing the business-critical nature of the work we do, and we're excited to have the firepower to grow and continue to attract the best people globally. We're at the beginning of a very exciting new chapter." >> Read more.
[2] The burgeoning no-code / low-code movement is showing little sign of slowing down. Countless new products and companies have hit the market to help coders and non-coders alike make the most of the skills that they have.
While no-code platforms help democratize the software development process, low-code holds the potential to be just as transformative in terms of how it allows developers to create without having to hand-code everything from scratch. IDC estimates that 40% of "low-code developers" are already full-time developers, while Gartner predicts that by 2025, 70% of new applications will use low-code or no-code technologies — up from 25% in 2020.
It's against that backdrop that Budibase went to market with a low-code platform that helps developers and IT professionals build business apps in minutes. This could be anything from inventory management platforms and applicant tracking systems (ATS) to customer help desk applications. >> Read more.
[3] Data science is trending among modern ways of digital marketing. It helps businesses make data-driven decisions. Data science augments various areas of digital marketing, making these processes more effective and less time-consuming. Search engine optimization (SEO) is one of these processes.
Traditionally, SEO has relied on assumption-based best practices. And it still does. However, with the presence of massive amounts of data, it makes sense that marketers would use it to streamline their SEO efforts. Data uplifts SEO by helping marketers see what previous strategies have worked and enabling them to predict what will work in the future.
Data-driven SEO strategies you can incorporate in your SEO campaign include the following:
  • Customer behavior analysis
  • Improve the website user experience
  • Tracking and optimizing user behavior metrics
  • Competitor analysis
  • Data-driven content marketing
  • Data-driven link building
>> Read more.
Can this triple-A space exploration game usher in the promise of the metaverse?

 

The Buzz
Triple-A gameplay meets play-to-win and -to-earn
Neural Networks, Explained
A neural network is based on a collection of units or nodes called neurons, which model the neurons in the brain. Each connection can transmit a signal to other neurons, with the receiving neuron performing the processing.
Neural networks are trained by processing examples. Each example contains a known "input" and a "result," which are both stored within the data structure of the neural network itself.
Between 2009 and 2012, neural networks began winning prizes in contests, approaching human-level performance on various tasks, initially in pattern recognition and machine learning. Around this time, neural networks also won multiple competitions in handwriting recognition without prior knowledge of the languages to be learned.
Now, neural networks are used in domains from logistics and customer support to ecommerce retail fulfillment. They power applications with clear business use cases, which has led organizations to increasingly invest in adoption, development, and deployment of neural networks.
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