The Many Brands of Dan Meyer

One thing that has been a challenge for me over the years is that I  am constantly evolving as a entrepreneur, as a businessman and an analytics expert.

A consequence of this constant evolution is that I have launched several brands as vehicles to deliver training, coaching, and consulting based on my intellectual property.  I have lot of information bouncing around in my brain that I know can be very useful to people looking tot make sense of the numbers in their business.

To that end I recorded this video. I want to help you make sense of all the things I have been doing since I launched my first business in 2011 and all the things I will be doing in 2020 and beyond.

Daniel Meyer heads Sonic Analytics, an analytics firm with offices in Manila, the San Francisco Bay Area and Ocala, FL. With over 20 years in Big Data, Dan is one of the most sought-after public speakers in Asia and offers big data coaching and analytics training seminars on both sides of the Pacific. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker. 

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in STEAM 2020 Conference.

 

Why is A.I. So Scary?

When we think of artificial intelligence, a lot of us think of what we see coming from Hollywood. Movies like the Terminator, War Games and the Matrix color our imaginations to see A.I. as a villain and something to be feared. But it shouldn’t be so scary.

“AI is everywhere in tech right now, said to be powering everything from your TV to your toothbrush. In short, it’s making decisions that affect your life whether you like it or not.” 1

Today we all walk around with A.I. in our pockets (Siri), running our homes (Alexa), giving us directions (Waze), how we watch TV (Netflix) and soon in all of our cars (Waymo). So why the disconnect? What is about the way we use A.I. in our personal lives makes it so easy to use and not nightmare inducing?

At this point in time, we’ve only scratched the surface of examples of A.I. in day-to-day life. Specific industries and hobbies have habitual interaction with A.I. far beyond what’s explored in this book. For example, casual chess players regularly use A.I. powered chess engines to analyze their games and practice tactics, and bloggers often use mailing-list services that use a machine to optimize reader engagement and open-rates. 2

In fact, the applications of artificial intelligence is already so ingrained in what we do every day, it’s just mostly out of sight or at least not staring us in the face. We just have this double standard between what we see as harmless and what we see as a menace.

How will A.I. affect daily life on a grand scale in the near future? Futurist and Wired magazine co-founder Kevin Kelly predicts that, as AI becomes more deeply integrated in our lives, it will become the new infrastructure powering a second industrial revolution. ”The actual path of a raindrop as it goes down the valley is unpredictable, but the general direction is inevitable,” says Kelly — and technology is much the same, driven by patterns that are surprising but inevitable.

This genie is not going back in the bottle. Over the next 20 years, he says, “our penchant for making things smarter and smarter will have a profound impact on nearly everything we do. “Kelly explores three trends in AI we need to understand in order to embrace it and steer its development. “The most popular AI product 20 years from now that everyone uses has not been invented yet,” Kelly says. “That means that you’re not late.” 3

With this in mind, I want to bring things back to ground level and share with you my story about how I got started with artificial intelligence. The idea behind my next book is really to explain to you my path, from where I started with data and technology to where I am at now. As I share my story I will also explain what I’ve seen across hundreds of businesses, and highlight the importance of starting to think about how to use artificial intelligence for massive success.

Daniel Meyer heads Sonic Analytics, an analytics firm with offices in Manila, the San Francisco Bay Area and Ocala, FL. With over 20 years in Big Data, Dan is one of the most sought-after public speakers in Asia and offers big data coaching and analytics training seminarson both sides of the Pacific. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in STEAM 2020 Conference.

Get A.I. Ready – Ortigas

One of the biggest myths of getting started with A.I. is that it is too complex, to expensive and will take too long to set up.

But that is not the case.

We started GET A.I. READY in June 2019, to help businesses trying to compete with the Amazons, Apples and Googles of the world. We have delivered the training at a half-dozen business expos, for over two dozen American companies and have trained 300+ people across the United States.

From that experience, we have developed the following training program, taking the best of what is happening in the U.S. and modifying it for application by companies doing business in the Philippines.

LEARNING SECTIONS:

Section 1 — Good Data Governance requires us to collect, store, access, and analyze our data in an orderly way. Additionally, A.I. is not a standalone software. A.I. is designed to be used as part of a well-organized system; to accomplish a set of tasks using algorithms. This allows us to use A.I. in three different areas of our business processes. Data is the currency of an A.I. driven Organization.

  • A.I. Process #1 — Augmentation
  • A.I. Process #2 — Automation
  • A.I. Process #3 — Machine Learning

Section 2 — Business Intelligence — A simple conversation about the data collected in a business, how it is stored and accessed, what can be done with it will lead you towards A.I. Demonstrate the ability to ride the A.I. wave, rather than be rolled over by it, which all starts with augmenting your data analytics.

Section 3 — Process Automation — Sometimes the most powerful function of A.I. in a business is simply automation. We have to be able to either delegate, outsource or automate every part of our business that is manual, human resource heavy and/or repetitive. Automation saves time and money, but of course can come at a human cost.

Section 4 — Influencing Customer Behaviour — Machine Learning involves building mathematical models that A.I. will use for predictive data analytics and for learning. We then merry ML with Data Storytelling to craft narratives that drive a desired outcome from our customers.

Participants will have a deeper understanding of A.I. terminology, including Big Data Analytics, Deep Learning, Natural Language Processing, Neural Networks, Predictive Modelling and Supervised Learning.

The end results of attending the one-day training will include the following:

  1. An Assessment of your Current Analytics Maturity & a Plan to Level Up
  2. A Map of your Data Lake, including Identified Data Silos
  3. Learning about the Data Families/Skills Need for A.I.
  4. A list of what manual processes you can Automate (Collection, Blending, Modelling, Analysis)
  5. Tips on how enhance your Data Visualization & Data Storytelling skills
  6. Identify the Key Customer Behaviour Influencers you need to maximize business profits

The bottom line, is that if your business is not already moving towards using A.I., you are at an increasingly perilous disadvantage. If you are not investing in this new technology, you can sure bet your competitors are.

You can sign up here: https://www.sonicanalytics.com/get-ai-ready-ph

Daniel Meyer heads Sonic Analytics, an analytics firm with offices in Manila, the San Francisco Bay Area and as of February 2019, Ocala, FL. With over 20 years in Big Data, Dan is one of the most sought-after public speakers in Asia and offers big data coaching and analytics training seminars on both sides of the Pacific. Dan has also recently joined the Powerteam International family as a small business analytics resource speaker.

Sonic Analytics(www.sonicanalytics.com) brings big data analytics solutions like business intelligence, business dashboards and data storytelling to small and medium sized organizations looking to enhance their data-driven decision-making capabilities. We also advocate the use of analytics for civic responsibility through training, consulting and education.

As citizens of this great democracy, we need to look at the data (analytics), plan a course of action (strategy) and share our data-driven viewpoints (presentation). This approach to a data savvy work force starts in school. So, we started an internship program to empower our youth to use Analytics, plan Strategy and Present their insights… ASP!

When not training current and future analysts, you can find Dan championing the use of analytics to empower data-driven citizenship by volunteering his expertise with schools and non-profits dedicated to evidence-based social progress like Saint Leo University’s Women in STEAM 2020 Conference.