In our continuing series on RealTime machine learning recommendations for email, we will discuss the importance of Sentiment Analysis in RealTime for Email. The initial feedback we've received from the field to develop a Sentiment Analysis model has been extraordinary. We initially want to dissect why we feel this model is essential, determine the components needed to serve real-time machine learning recommendations for higher engagement rates before the campaign send, and tailoring sentiment to the types of emails companies send.
With perhaps the most coveted valuation in the Email Industry at close to $10B, MailChimp is considered the most forward-thinking ESP on the planet boasting 12M customers, with outstanding brand recognition and an incredible leadership suite. But when it comes to installing RealTimeML, it's lollygagging mainly because it has not justified the actual value to productionalize RealTimeML across its client base. And also, because it is a challenge to execute!
Before we dive into optimizing predictive analytics for images using #RealTimeML, at our neighborhood Email Service Provider, there are a few people we need to acknowledge. First, we would like to recognize the Stanford Digital Economy Lab and its managing director Christie Ko. Christie reached out to us to potentially write articles for them, and we talked about several topics in the world of Machine learning (ML). She found our blog here on CircleID and ...
A recent study carried out by Governance Primer on behalf of the Universal Acceptance Steering Group (UASG) identified trends in the acceptance of all domain names in software hosted at Github, the largest open-source repository globally. This research builds on top of previous efforts aimed at identifying the underlying issues that result in problems when different applications need to handle Internationalized Domain Names (IDNs) and new gTLDs, particularly when it comes to email addresses.
Perhaps, one of the most thrilling moments of any machine learning project for a data science team is learning that they get to deploy the model in a production environment. However, this can be a daunting task or a simplified one, if all the tools are readily available. Machine-learning (ML) models "require" deployment to a production environment to deliver optimal business value, and the reality is that most models never make it to production.
Popular email editors today have no way to optimize for text length. An email marketer may attempt to build her content but has no idea whether that content is optimized related to word count for a specific industry/client. As it relates only to text length, does the email have too many or too few words. Currently, there is no built-in predictive model to inform her. Well, until now. Last month we described an evolutionary real-time data-driven process for email campaign builders to have at their disposal.
Domain name abuse is one of the most dangerous and under-regulated issues in digital business security today. Many of the largest companies in the world still lack basic domain security protocols, making them prime targets for bad actors. An attack on a domain can lead to the redirection of a company's website, domain spoofing, domain and domain name system (DNS) hijacking attacks, phishing attacks, network breaches, and business email compromise (BEC).
Email Campaign builders (marketers) are flying blind. I know ESPs are genuinely timely about rolling out new products for their marketers, but there is a colossal gap in adopting data science and MLops into the email campaign building workflow. Even MailChimp does not seem to have the answer just yet, and half-baked attempts over the years to optimize the subject line haven't been inspiring.
Back in 2014, to foster innovation and to better the choice in domain names, ICANN introduced new generic top-level domains through its New gTLD Program. It was a monumental move that enabled businesses, individuals, and communities across the globe to mark their presence on the Internet. Allowing users to be present digitally in their chosen language (non-ASCII characters and scripts) gave opportunities to local businesses, civil societies, and governments to better serve their communities.
Verisign is deeply committed to protecting our critical internet infrastructure from potential cybersecurity threats, and to keeping up to date on the changing cyber landscape. Over the years, cybercriminals have grown more sophisticated, adapting to changing business practices and diversifying their approaches in non-traditional ways. We have seen security threats continue to evolve in 2020, as many businesses have shifted to a work from home posture due to the COVID-19 pandemic.