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	<title>&#45; CircleID</title>
	<link>https://www.circleid.com/blogs/</link>
	<description>Postings from  on CircleID</description>
	<dc:language>en</dc:language>
	<dc:rights>Copyright 2026, unless where otherwise noted.</dc:rights>
	<dc:date>2026-03-31T21:29:00+00:00</dc:date>

	
	<item>
		<title> Designing for RealTimeML (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20220507-designing-for-realtimeml</guid>
		<link>https://circleid.com/posts20220507-designing-for-realtimeml</link>
		<description><![CDATA[The steepening trajectory towards event-driven and real-time API architecture is imminent. This means incorporating event-based APIs into a technology strategy and leveraging existing API legacy systems that may have incurred a fair amount of technical debt, especially for historically progressive organizations. <a href="https://circleid.com/posts20220507-designing-for-realtimeml">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Normalize inflated iOS 15 Email Open Rates with Unsupervised ML (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20211229-normalize-inflated-ios-15-email-open-rates-with-unsupervised-ml</guid>
		<link>https://circleid.com/posts20211229-normalize-inflated-ios-15-email-open-rates-with-unsupervised-ml</link>
		<description><![CDATA[Happy Holidays. In September 2021, Apple rolled out iOS 15. For high volume email senders, Apple Mail now essentially tracks every email sent as an "open." Seemingly if you are a campaign engineer, high volume sender or ESP, this change can radically affect 25% - 45% of your email subscriber base, across both B2B, B2C or D2C. Inside your email analytics platform, you should see the specific percentage of Apple Mail users in your database, thus a significant rate of change ( delta) regarding inflated "open rates." <a href="https://circleid.com/posts20211229-normalize-inflated-ios-15-email-open-rates-with-unsupervised-ml">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> RealTimeML:  Email Send Time Optimization for Supply Chain Bottlenecks (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20211212-email-sendtime-optimization-for-supply-chain-bottlenecks</guid>
		<link>https://circleid.com/posts20211212-email-sendtime-optimization-for-supply-chain-bottlenecks</link>
		<description><![CDATA[Look for this trio of email-related organizations MessageGears, Validity, Vidi-Emi, to become trailblazers in the RealTimeML Email landscape. This article will examine the nascent concept of utilizing RealTimeML to optimize for open rates and ultimately engagement rates by using a SendTime Email Optimization model. The model will infer RealTimeML predictions for optimal engagement rates, which provides enormous value throughout your current supply chain. Additionally, we will share ongoing time trials to serve the model efficiently. <a href="https://circleid.com/posts20211212-email-sendtime-optimization-for-supply-chain-bottlenecks">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> A Note to PhDs Transferring From Academia to the ML Industry (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20211023-a-note-to-phds-transferring-from-academia-to-the-ml-industry</guid>
		<link>https://circleid.com/posts20211023-a-note-to-phds-transferring-from-academia-to-the-ml-industry</link>
		<description><![CDATA[Congratulations. You have successfully defended your PhD dissertation, and it was a defining moment in your life. Your professorial experience and teaching assistant credentials are finally going to pay off. Further, you might have hundreds of citations, and PhDs are sought after because of their subject matter expertise. Well, that is OK. All that hard work and discipline allows you to use your newly earned moniker and seek out additional opportunities, either within the scope of academia or corporate options. Wait, Wait, Wait, not so fast. If you are thinking of just strolling into the industry and immediately begin earning a six-figure salary, think again, my friend. <a href="https://circleid.com/posts20211023-a-note-to-phds-transferring-from-academia-to-the-ml-industry">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> RealTimeML Email Recommendation Engine Part V: Sentiment Analysis (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20211011-realtimeml-email-recommendation-engine-part-v-sentiment-analysis</guid>
		<link>https://circleid.com/posts20211011-realtimeml-email-recommendation-engine-part-v-sentiment-analysis</link>
		<description><![CDATA[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. <a href="https://circleid.com/posts20211011-realtimeml-email-recommendation-engine-part-v-sentiment-analysis">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> MailChimp Not Quite Ready for PrimeTimeML (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20210903-mailchimp-not-quite-ready-from-primetimeml</guid>
		<link>https://circleid.com/posts20210903-mailchimp-not-quite-ready-from-primetimeml</link>
		<description><![CDATA[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! <a href="https://circleid.com/posts20210903-mailchimp-not-quite-ready-from-primetimeml">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Real-Time Email Recommendation Engine Part IV: Image Optimization (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20210802-real-time-email-recommendation-engine-part-iv-image-optimization</guid>
		<link>https://circleid.com/posts20210802-real-time-email-recommendation-engine-part-iv-image-optimization</link>
		<description><![CDATA[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 href="https://circleid.com/posts20210802-real-time-email-recommendation-engine-part-iv-image-optimization">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Email Recommendation System-Abstract: Deployment Considerations (Part III) (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20210706-email-recommendation-system-abstract-deployment-considerations</guid>
		<link>https://circleid.com/posts20210706-email-recommendation-system-abstract-deployment-considerations</link>
		<description><![CDATA[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. <a href="https://circleid.com/posts20210706-email-recommendation-system-abstract-deployment-considerations">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Email Recommendation Engine for ESPs – Text Length Optimization (Part II) (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20210621-part-ii-email-recommendation-engine-esps-text-length-optimization</guid>
		<link>https://circleid.com/posts20210621-part-ii-email-recommendation-engine-esps-text-length-optimization</link>
		<description><![CDATA[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. <a href="https://circleid.com/posts20210621-part-ii-email-recommendation-engine-esps-text-length-optimization">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Rumblings for an In-Session Recommendation Engine at Email Service Providers (Part I) (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20210513-in-session-recommendation-engine-at-email-service-providers-part-i</guid>
		<link>https://circleid.com/posts20210513-in-session-recommendation-engine-at-email-service-providers-part-i</link>
		<description><![CDATA[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. <a href="https://circleid.com/posts20210513-in-session-recommendation-engine-at-email-service-providers-part-i">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Five Considerations When Selecting Your Data Science Team (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20210314-five-considerations-when-selecting-your-data-science-team</guid>
		<link>https://circleid.com/posts20210314-five-considerations-when-selecting-your-data-science-team</link>
		<description><![CDATA[The experience of interviewing a data scientist is like none other. Over the past year, we've interviewed more than 100 data scientists, and most, if not all, of them are brilliant. After all, they are a data scientist and have spent many years mastering their craft. The purpose of this post is to potentially assist technology leaders who are considering hiring a data scientist or a data science team. There are five items of consideration. <a href="https://circleid.com/posts20210314-five-considerations-when-selecting-your-data-science-team">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> The Machine Learning Operations Tooling Landscape Expands to 300 (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20210104-machine-learning-operations-tooling-landscape-expands-to-300</guid>
		<link>https://circleid.com/posts20210104-machine-learning-operations-tooling-landscape-expands-to-300</link>
		<description><![CDATA[Happy New Year! There is no scarcity of Machine Learning Operations products being introduced to the industry. Since June of 2020, over 84 new ML toolsets incorporating but not confined to All-in-One, data-pipeline, and model training applications were born. In this list of almost 300 MLOps tools, there are 180 startups. Out of these 180 startups, more than 60 raised capital in 2020, and about two-thirds are fixated on data-pipelines and modeling-training. <a href="https://circleid.com/posts20210104-machine-learning-operations-tooling-landscape-expands-to-300">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Criss-Crossing AI With the Future of Work (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20201102-the-future-of-work-crisscrossing-ai</guid>
		<link>https://circleid.com/posts20201102-the-future-of-work-crisscrossing-ai</link>
		<description><![CDATA[Every few years; some self-proclaimed academic imparts an article on the future of work, with conflicting information from various experts leaving many uncertain about its impact on jobs, skills, and wages. In less than a year, these same scholars will be writing about the "future of labor," and given the speed of innovation, by the time these articles are published, they will be made obsolete. <a href="https://circleid.com/posts20201102-the-future-of-work-crisscrossing-ai">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> AI Initiatives at the US Post Office: Final Rethink Before We Dissolve It! (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/posts20201018-ai-initiatives-us-post-office-final-rethink-before-we-dissolve-it</guid>
		<link>https://circleid.com/posts20201018-ai-initiatives-us-post-office-final-rethink-before-we-dissolve-it</link>
		<description><![CDATA[MIT released a comical study in May of 2020 on the historical innovation accomplishments, and the potential logistical endeavors brought to light by the beleaguered United States Postal Service. The apparent scholarly article cited several technological implementations and employee empowered frameworks that could define the USPS's plight over the next five years. These frameworks, through FY2025, mention a postal-banking initiative and two AI autonomous vehicles initiatives. <a href="https://circleid.com/posts20201018-ai-initiatives-us-post-office-final-rethink-before-we-dissolve-it">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
	</item>
	
	<item>
		<title> Meet My Friend Marlowe, She's Dopamine for Authors (Featured Blog)</title>
		<guid isPermaLink="true">https://circleid.com/postsmeet-my-friend-marlowe-shes-dopamine-for-authors</guid>
		<link>https://circleid.com/postsmeet-my-friend-marlowe-shes-dopamine-for-authors</link>
		<description><![CDATA[We all have a creative side, so consider meeting my friend Marlowe if you are an aspiring author. Authors.ai is a relatively new web property directly related to enhancing your novel's success or manuscript using Artificial Intelligence. Practically, Marlowe (the intelligent AI engine) reads and writes manuscripts in under an hour. Marlowe is labeled as a self-editing tool but's it is much more nuanced. <a href="https://circleid.com/postsmeet-my-friend-marlowe-shes-dopamine-for-authors">More...</a>]]></description>
		<dc:date>2026-03-31T14:29:00-07:00</dc:date>
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