Nacelle raises $4.8M for its headless e-commerce platform

“Nacelle builds an easier path for e-commerce brands to embrace a headless structure. Headless web apps essentially mean a site’s front end is decoupled from the backend infrastructure, so it’s leaning fully on dedicated frameworks for each to deliver content to users. There are some notable benefits for sites going headless, including greater performance, better scalability, fewer hosting costs and a more streamlined developer experience.”

https://www.google.com/amp/s/techcrunch.com/2020/06/29/nacelle-raises-4-8m-for-its-headless-e-commerce-platform/amp/

Image Credits: John Lamb / Getty Images

The Promising Duo: Five Use Cases for Natural Language Processing in FinTech

  • “According to the recent stats, within five to ten years from now, 95% of all interactions with clients in the finance industry will be performed by AI.
  • Researchers predict a 3,150% growth for chatbots interactions in the FinTech industry between 2019-2023, which will save financial organizations over 800+ million in working hours.
  1. Intelligent Document Processing
  2. Digital Counseling
  3. Streamlined Regulatory Compliance
  4. Underwriting Automation
  5. Advanced Brand Reputation Management”

https://thenewstack.io/the-promising-duo-five-use-cases-for-natural-language-processing-in-fintech/

AI Fintech ubble Secures Over $11 Million in Capital to Develop Digital ID Verification Product using Biometric Facial Recognition

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“France-based AI company ubble has acquired more than €10 million (appr. $11.2 million) in capital through a round led Breega and Partech and Breega. The funds raised will reportedly be used to develop ubble’s remote onine ID verification product which will include biometric facial recognition.

The AI-focused firm said it’s planning to establish a leading presence in the digital ID verification sector.”

AI Fintech ubble Secures Over $11 Million in Capital to Develop Digital ID Verification Product using Biometric Facial Recognition

AI to Monitor Banking Infrastructure

 

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“Since AI tracks the history of all components, it can find pattern deviations much more efficiently than a human operator and point out the exact failure. In one case, for instance, we detected that adding extra CPU cores and scaling a system vertically was not as efficient as scaling it horizontally, since the system also had to deal with many TCP/IP requests. Without detecting this root cause, an IT failure would be imminent, while the management would live under the false impression that the extra CPU cores have solved the problem.”

https://thenextweb.com/neural/2020/06/26/our-fragile-40-years-old-banking-infrastructure-can-only-be-saved-with-ai/