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.