Designing for RealTimeML

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. more

Normalize inflated iOS 15 Email Open Rates with Unsupervised ML

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." more

RealTimeML:  Email Send Time Optimization for Supply Chain Bottlenecks

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. more

A Note to PhDs Transferring From Academia to the ML Industry

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. more

RealTimeML Email Recommendation Engine Part V: Sentiment Analysis

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. more

MailChimp Not Quite Ready for PrimeTimeML

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! more

Real-Time Email Recommendation Engine Part IV: Image Optimization

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 ... more

Email Recommendation System-Abstract: Deployment Considerations (Part III)

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. more

Email Recommendation Engine for ESPs – Text Length Optimization (Part II)

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. more

Rumblings for an In-Session Recommendation Engine at Email Service Providers (Part I)

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. more

Five Considerations When Selecting Your Data Science Team

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. more

The Machine Learning Operations Tooling Landscape Expands to 300

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. more

Criss-Crossing AI With the Future of Work

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. more

AI Initiatives at the US Post Office: Final Rethink Before We Dissolve It!

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. more

Meet My Friend Marlowe, She’s Dopamine for Authors

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. more

Your AI Strategy Canvas: Part 2

The AI Strategy course at UC Berkeley has come to an abrupt end, but formal learnings in AI will continue. I want to thank professors at UC Berkeley, Alberto Todeschini, Ph.D., and Stuart Russell, who developed a comprehensive course to implement AI in business. After three certificates, Alberto has encouraged me to pursue a master's in Artificial Intelligence. My wife and I are contemplating this next step. more

Your Future is Scripted! China, AI and the Race for Digital Authoritarianism

The race for digital authoritarianism between China and the US is now exceedingly stark. It is a race with enormous implications for the management of humankind, (yes I said it) and the respected doctrines of our human rights and freedoms. Everything we care about today as freedom-loving citizens will be transformed by AI, from access to healthcare to economic status and, more importantly, your ability to serve. more

Your AI Strategy Canvas: Part 1

As the final project of my UC Berkeley School of Information course in Artificial Intelligence strategies, we had to submit an AI strategy canvas. Today, I will attempt to share important aspects of the canvas, so you and your team may have a template to work from and consider. Let's begin. We will look at both a strategy and operations perspective both internally and externally. Part one will include Internal and Operational Strategies, while Part II will examine external processes, threats, and procedures. more

AI Musings: Using Image Classification Creatively and the Coming Collision in City Centers

Within this supercycle of digital innovation, we are experiencing globally; AI is revolutionizing business both in predictable and unpredictable ways. With an expectation of more than $20 trillion added to the global economy by 2030, the impact of AI on business is real. While most of the patents and citations are still coming from the US, China is rapidly gaining citations. more

Defining KPIs to Measure the Success of Your AI Strategy

KPIs are industry-specific and should be aligned carefully with your AI strategy. My course at UC Berkeley drills down heavily on how to define success when implementing your AI strategy, and measurement, like anything else, is the top priority. One technique that can potentially be used in your organization as you embark on your AI strategy is to use the SMART method for KPIs. SMART stands for Specific, Measurable, Attainable, Relevant, and Time-Sensitive. more

Implementing Natural Language Processing in Your SMB Organization: Now or Never!

If you have already adopted AI in your small or mid-size organization, congratulations. If not, the urgency of adopting should be a top priority. You will become a laggard and most likely obsolete given the supercycle of innovation we are currently in. Implementing AI is quite different from other organization-wide strategies because it involves highly specific characteristics and expert resource pools that SMBs might not be able to access. more

Macro Musings for Digital Strategies Using Unstructured Data

When Doug Dawson wrote his article in February on Artificial Intelligence, he felt that #ai is saddled with too much hype as is its current counterpart, 5G. Certainly, there is a great deal of technology out there that deserves the hype and others that do not. After receiving a certification (Intro to AI) from IBM (while using Watson), I'm here to share that artificial intelligence, and its subsets of machine learning and deep learning definitely deserve a soundbite. more

Lessons Learned from Harvey and Irma

One of the most intense natural disasters in American history occurred last week...You may wish to donate or get involved with hurricane Harvey relief to help the afflicted. That's great, but as we all know, we should be wary of who we connect with online... The FTC warned last week that there are many active relief scams in progress and noted that there always seems to be a spike in registration of bogus domains. more

APT: The Cancer Within

Unless you have a team employing the latest proactive threat-hunting techniques, the stealthy Advanced Persistent Threat (APT) hiding in your network can pass by completely unnoticed. There are as many definitions of APT as experts writing about the topic, so let's boil it down to the simple essentials: APTs are usually implanted and maintained by a team of malicious actors with the intention of living long term in your network while extracting valuable private information. more

Interest in Cloud-Based Email Infrastructure Grows by 35% in 3rd Quarter of 2016

Cloud-based interest in email infrastructure trended up this past quarter. Port25, a Message Systems Company, tracks cloud-based interest (CBIs) among large volume senders based on evaluation and purchase requests received, in conjunction with overall site engagement. In Q3, CBIs on Port25's website grew by 34.97% over Q2, to a total of 48.2% of unique evaluation and purchase requests. more

Growing Interest Abroad for Cloud-Based Email Infrastructure

Between September of 2015 and May 2016, (last 8 months) Port25 saw almost a 30 percent jump in new cloud-based email infrastructure interest outside the United States... While most of the influential senders are not abandoning on-premises mail transfer agent (MTA) solutions, many are looking to cloud infrastructure for managing higher-volumes by bifurcating individual email streams to the cloud. more

Marketo’s Path to Being Acquired

Happy Early Memorial Day. Once an ESP or marketing automation company declares itself for sale, there seems to be a mass exodus by investors, which sends up a red flag, (well in this case, a red & white striped flag). This past week there were rumblings about the potential suitors for Marketo. While it is rumored that German company SAP is the front-runner, there are many other potential suitors circling the marketing automation software company. more

Perfect Storm Brewing at ESPs Amidst Growing PowerMTA Admin Crisis

Sometimes, a software company is as much about people as it is about technology. Who says PowerMTA admins don't have influence? Not only are they the influencers of our brand [Port25] they are also the main influencers and decision-makers when it comes to purchasing decisions. more

Macro Observations Facing Email Infrastructure

Last month I attended the 36th annual M³AAWG conference in San Francisco, where esteemed members of the online messaging and anti-abuse community come together to make the Internet a safer and more secure environment. The sending community is highly influential especially among Email Service Providers (ESPs) and truly dominated the two-macro conversations that I participated in. These conversations have the industry in somewhat of a transition. more