Today I want to talk about getting in on the ground floor of any emerging technology, and how you can best position yourself for the type of extreme growth that naturally occurs when you’re able to show up at the right time, with the right skills, in the right industry.

I’m qualified to share about this topic because “getting in on the ground floor” of emerging technologies is one thing to which I can attribute much of my career success over the last decade or so…

Back in 2012, I happened to discover the “big data” trend, just before Drew Conway came out with the whole “data science is the sexiest job” thing. 

At that time, I happened to also be working as an employee… building and analytics MVP, leading a BI strategy, and coding in Python to uncover insights from disparate datasets… 

In other words, the work I was doing then perfectly positioned me to add value to the data science conversation that was happening across the country (in USA)... There was almost no supply, surging demand, and very, very few people online who were leading conversations in the data science space. Honestly, it was a heyday.

Over the years though, the industry has matured. Companies began taking more interest in data engineering. Millions of people have graduated with college degrees in data science (they did not even offer those 10 years ago btw!). Lots of people have spent an entire decade mastering the nth detail of implementing machine learning and deep learning algorithms…

How does all this ^^ affect you? Well, if you’re looking to get an edge in data science or data analytics right now… well, I am sorry, but - get in line.

There is so much competition from so many very experienced people, you’ve really got to have a very strong leg to stand on if you’re going to manage to stand out in the crowd.

But don’t fret, when one door closes, another opens…

The good news is…

While the traditional data professions are flooded with very experienced people who can implement the de facto methods that have proliferated across industries over the last decade…

The same is not true for generative AI. 

In fact, the supply-demand curve in generative AI is SERIOUSLY skewed in your favor.

Last week I was doing some industry research and uncovered some mind-blowing salary statistics.

💡 How much Anthropic is paying its entry-level AI researchers…

According to Rora, a salary negotiation consultancy for AI professionals, Anthropic is paying its entry-level AI researchers an average salary of $855,000 per year!

How does that sit with you?

My take: “If you can’t beat ‘em, join ‘em”!

📆 TODAY @ 10am PST - Building Real-Time AI with Kafka and Streaming Data Analytics

Join today’s free live training to learn how-to build real-time AI using Kafka.

If you’re ready to position yourself to catch a ride on this wave of AI career opportunities, it’s time to show up and skill up with us in Monday’s free training on building real-time AI with Kafka and streaming data analytics.

In just one action-packed hour, you’ll plunge into hands-on activities and a live showcasing teaching you how to leverage #realtime #AI to create a cutting-edge analytics app in real time.

In just 60-showstopping minutes, you’ll get hands-on learning and a live demo on how to harness real-time AI to build a real-time streaming analytics application.

Topic: Real-Time AI with Kafka and Streaming Data Analytics

📆 Time: Monday January 15, 2024, 10am - 11am PST

Whether you're a data maven or a coding whiz, continuing technical education is crucial for everyone who’s working in the data & AI space!

But legacy Kafka trainings are all rather dated, and certainly are not educating learners on how to utilize latest LLM technologies to build real-time applications!

The good news? If you're a builder who’s eager to harness the power of real-time AI with Kafka for real-time analytics, this training session is both FAST and FREE! You really won't want to miss it!

What You’ll Get:

👉 An introduction to the latest tools and technology for real-time streaming analytics and Generative AI LLMs

👉 Step-by-step guidance on building robust analytics applications with real-time AI and Kafka.

👉 Access to valuable code snippets and best practices to kickstart your own analytics projects.

This 1-hour training session will provide you theory, hands-on learning with a live demo, code sharing, and a lively Q&A afterward where you can get your questions answered in real-time.

You’ll walk away with practical knowledge from this lovely technical app-building tutorial. 

SAVE YOUR SEAT NOW and we’ll also be sure to send you a replay of the session in case you can’t join us live!

Warm Regards,

Lillian Pierson

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Text within this block will maintain its original spacing when publishedAt Data-Mania, we offer fractional CMO support to B2B tech companies. We specialize in go-to-market & product-led growth for high-growth data and AI startups. Learn more by visiting our website.

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