SCOTT TAYLOR - The Data Whisperer

MetaMeta Consulting

MetaMeta: "It's about what it's about"

We are a strategic marketing consultancy focused on partnering with innovative Tech Brands that seek to change the nature of enterprise data management - and want help to tell that story.  Our experience is rooted in helping countless business executives understand the strategic value of proper data management.  Data has never been hotter but Tech Brands can't always break through the clutter.  We are proponents of compelling messaging that is also technically accurate.

The Data Whisperer & Principal Consultant

DataVengers

Lead member of the DataVengers, a coordinated group of independent content creators amplifying and enhancing the data event experience

DataVenger

Technics Publications

NEW BOOK: TELLING YOUR DATA STORY - Data Storytelling for Data Management 

The Data Whisperer's practical guide to explaining and understanding the strategic value of data management.

Available directly from Technics Publications and also on Amazon

Author - TELLING YOUR DATA STORY - Data Storytelling for Data Management

Thinkers360

Top 10 Ranking Thought Leader & Influencer
Big Data 
Business Strategy
Digital Transformation

Top 10 Ranking Thought Leader & Influencer - Big Data | Digital Transformation | Business Strategy

DATAVERSITY

Very excited to be chosen for the Opening Keynote at Enterprise Data World in San Diego March. 
"Data Management as the Foundation of Digital Transformation"
For a discount on registrations use promo code DATAWHISPERER

Keynote Speaker - DGIQ

InfoCepts

Helping to Bridge the Story Gap Between the Business and Data - Events, blogs, videos and all sort of content.

InfoCepts Partner

ThinkLinkers

ONE WORLD. ONE PEOPLE. ONE DATA.

A collaboration between ThinkLinkers and Scott Taylor - The Data Whisperer, born out of love for #Data, #Storytelling and knowledge sharing, we’re excited to present:
M D M - Master Data Marathon

Host for the Data Marathon 5.0

Cloudera

Podcast Host

Dun & Bradstreet

Reimagined, redefined and repositioned Dun & Bradstreet’s global market position for data management solutions supporting Master Data resulting in a common set of vocabulary, a clear consistent voice in the marketplace and a visionary business accessible narrative.

D&B Master Data Evangelist : Market Development & Innovation

InfoCommerce Group Inc.

Specialized Consultant - Master Data Productization Opportunities

Let me help you TELL YOUR DATA STORY 

I can be your voice for Data Management 

Partnering with Enterprises and innovative Data Brands that want to change the nature of data management - and help them tell their story!

As **The Data Whisperer** I help "calm data down" 

I am a firm believer in “making your data do the work,” and have enlightened countless business executives to the value of proper data management by focusing on the strategic rationale and business alignment rather than technical implementation and system integration. 

I'm more of the strategic WHY than the technical HOW. 

I have spent over two decades solving master data challenges with large global enterprises as well as guiding Tech Brand owners to leverage their reference data and taxonomy assets.  

In a variety of strategic marketing, GTM, innovation and consulting roles, I have worked with some of the world’s most iconic business data brands including Dun & Bradstreet, Nielsen, Microsoft, Kantar, NPD as well as start-ups such as Qoints and Spiceworks.  

I'm an avid business evangelist and original thinker, and continually share my passion for the strategic value of foundational data through public speaking opportunities, blogs, videos, whitepapers, podcasts and all forms of marketing content. 

Highly effective strategic Subject Matter Expert/SME working directly with sales and alliances to reinforce the value of data management.

If you are an innovative Tech Brand looking to change the very nature of data management let me help you tell a better story!

MetaMeta: "It's about what it's about"

We are a strategic marketing consultancy focused on partnering with innovative Tech Brands that seek to change the nature of enterprise data management - and want help to tell that story.  Our experience is rooted in helping countless business executives understand the strategic value of proper data management.  Data has never been hotter but Tech Brands can't always break through the clutter.  We are proponents of compelling messaging that is also technically accurate. 

Thom Ives, Ph.D.

Lead Data Scientist

Unify Consultants

Creating an AI bot to do frequent and specialized queries for Amazon.

Senior AI Consultant

Integrated AI Applications

Building a REST API hosted in Vercel that integrates with Stripe for payments. Tech stack is NextJS with Typescript using app router, Shadcn UI, Tailwind CSS, with Python and Jest testing.

Founder

Phoenix Intelligence

Founding member and technical advisor as Phoenix Intelligence helps clients use technology to achieve or exceed their goals.

Technical Advisor

Echo Global Logistics

* Developed two complete AI Web Apps, to be Outlook Add-Ins, to automate replies to quote request emails. They both used LLMs with Auto-RAG to perform entity identification. Front-end components, and FastAPI based back-end components all run from Docker containers. Did the same for the Front “Outlook Manager” app.
* Developed and delivered many models and helped the data science team to learn and use FastAPI and Streamlit served through Docker containers and Outlook Add-In Web Apps served via Apache.
* Developed a carrier manifest optimizer that saves ~10+% in carrier costs.

Senior Data Scientist

AI Strategy Corporation

. Worked on an AI architecture to rapidly process unstructured technical data sheets
. Programmed a fast document match math machine that grew real time
. Created tokenizers to rapidly find property elements in PDFs
. Developed a heterogeneous clustering algorithm to rapidly group property elements
. Built a text terms aligner that uses two lookup engines and a trained GloVe model
. Created a system of Python to SQL routines that generated the AI’s memory
. Built several Py-Selenium based dynamic web scrapers
. Started a data science community to share learning and mentor others in data science
. Gave many presentations to the UL community to spread data science appreciation

Integrated Machine Learning & AI

. Worldwide Mentoring grown from LinkedIn followers
. Writing an ML book with Packt and taught a course on the same
. Weekly “Integrated Mentoring” sessions - recordings on YouTube
. Technical and mentoring blog posts that address the data science community’s needs
. Bi-weekly tech chats where I help data scientists with detailed technical questions
. Frequently asked to keynote speak and present on data science topics

ON Semiconductor

. Used data science and python to automate testing of imaging die on wafers.
. Used software version control, testing, tuning, and benchmarking
. Mentored new engineers on how to automate their work with Python
. Developed a machine learning algorithm to automatically find image defects
. Updated, maintained, troubleshot test algorithms, applied them to new products

Algorithm Development Engineer

Hewlett Packard Enterprise

. Recipient of 25+ US Patents for many different types of devices
. Color Imaging: Created python based data science tools to adjust halftones across different printers / scanners. Ran psychometrics. Mentored and assisted 3 PhD graduate students in data science methods to accurately predict toner usage.
. Laser Cartridges: Developed statistical machine learning models for cartridge wear, automated data collection on laser cartridges in test to more rapidly ID problems; guided graduate students in modeling of toner dynamics for design improvements, served on their committees, and tested new cartridge designs.
. R&D of Micro-Electro-Mechanical Systems (MEMS): Coded simulations of mechanics, electrostatic motors and sensors, charged particle optical focused-emitters, and thermal performance using FEM, BEM, and lumped parameter modeling techniques for MEMS R&D. Specified and designed parts for, updated parts for, and constructed an R&D vacuum test system for performing laser-doppler-vibrometer dynamics studies using LabView coding for imaging and vision capture systems for MEMS testing; Used python to coordinate several computers to reduce cycle time in finding optimal solutions; Coded physical model simulations with python to control 3D surface animations to better characterize MEMS performance and quickly identify design problems.
. Leadership in Training: Originated site wide technical training to preserve knowledge through online videos.
. Parts Design: Faster more robust design & manufacture of plastic and sheet metal parts using design methodology and FEA.
. Disk Arrays: Continuing product engineer troubleshooting large storage disk arrays (RAID systems) and mechanical engineer.

R&D Engineer

University of Idaho

Assistant Faculty Member

Analyzing data to make predictions describes my 30+ year career. 

I love data science, machine learning, artificial intelligence, and multi-physics engineering, and can do a wide range of predictive analytics. 

Among my wide range of work, I have a particular passion around automating the flow and analysis of data and data visualizations including animation when necessary. It's not always about making predictions. It's also about giving actionable insights to the organizations that I serve.

My main language for the past 22+ years has been python, and I am skilled with many of pythons' modules. 

Other languages from my history of coding have been C, C++, FORTRAN, Basic, ACSL, MatLab Simulink, Labview, and AWK.

In August 2018, I started Integrated Machine Learning & AI providing services and instruction in the data science community.

In July of 2019, I joined AI-Strategy as their lead data scientist.

I also have wide business acumen. I am a successful and experienced real estate investor and was a licensed Realtor to support my real estate investing and more. I’ve worked in insurance and securities and was a certified life underwriter and held series 6 and 63 securities licenses. 

In summary, I’m an addicted data scientist and dynamic multi-physics systems modeler and analyst that loves to work with great people to improve the performance of business or products through better analytics, processes, and design.

I'd love to talk about DS, ML, AI, and engineering with you and your team,
Thom Ives

https://thomives.github.io/ThomIves/
https://integratedmlai.com​ ​ 
https://github.com/ThomIves

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SCOTT TAYLOR - The Data Whisperer

Thom Ives, Ph.D.

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