Tobias Zwingmann

Author of AI-Powered BI (O'REILLY) | AI Coach & Mentor | I help organizations leverage AI and use data more intelligently to improve business performance. Sharing AI use cases & learnings.

My AI rule is simple. "If it doesn't cut costs, save time, increase throughput, remove risk or unlock revenue, it gets cut".In 5-continent wide enterprises and in the mid-sized companies finding $10k+ monthly savings in unexpected places I've helped, Profitable AI is about the same thing: Finding the overlap of what AI can do and what your bottom line needs it to do.Here's how I can help:→ Read the book: "The Profitable AI Advantage" – Frameworks for finding &amp; executing AI opportunities that pay off→ Use PAIGE: My AI strategy tool that helps you identify and evaluate opportunities for your specific business  → Join the Club: Direct access to me as you implement AI in your business (capped at 100 members)→ Work with me: When you're ready, my firm RAPYD.AI delivers AI strategy consulting and custom implementations that pay for themselves.I share what I'm learning every week in my Profitable AI newsletter – read by 10,000+ professionals who are tired of flashy demos and want real results instead.Follow along if you like. Or better: tell me what you're trying to figure out.

Managing Partner

We help you build amazing AI products faster.

ZZAlpha LTD

As founder and chief scientist, I researched and developed the big data financial algorithms and automation for ZZAlpha operations.  That included curating and archiving the quantitative data for the US markets.  My responsibilities also included developing and maintaining the newsletter publishing operations. Since origination in 2010, acting as system administrator, I moved the operations from multiple on-site servers to a more robust cloud production environment.
ZZAlpha currently provides algorithmic, quantitative and automation research, development, and data resources to Market Context Today.  Prior to 2023, ZZAlpha used its exclusive machine learning techniques to provide better daily recommendations to professional and knowledgeable investors, covering 46 different market segments.  The machine learning technique learns nightly the market dynamics from objective facts and then produces fixed horizon recommendations.  ZZAlpha evaluates only transparent, liquid, exchange traded equities.  Conservative Stock Picks.com (currently dormant), is an imprint of ZZAlpha Ltd.
ZZAlpha (https://www.ZZAlpha.com) is independent and unaffiliated.  It does not buy or sell stocks or ETFs, is not a financial advisor, and does not handle client funds.  Its business is providing trusted information to subscribers.

Founder and Chief Scientist

Market Context Today LLC

As founder, I supervise all operations. Fundamentally, our Artificial Intelligence processes find and recommend superior equities in the US stock market that will accelerate family wealth and reduce investment risk.  I handle marketing and sales to institutional investors, hedge funds, family offices and knowledgeable individual investors.    We publish about 100 newsletters daily, for both high AUM investors and small investors, which are described on the site (https://www.MarketContextToday.com).  We also publish market context information for economists, commentators and academics.
Fundamentally, our Artificial Intelligence processes find and recommend superior equities in the US stock market that will accelerate family wealth and reduce investment risk.  The Artificial Intelligence learns the constantly changing market contexts and what those contexts mean for investors and traders.  We serve both long-term traders with month sunsets, mid-term traders whose horizons are weekly, and day-traders.
There are two basic types of newsletters: ones showing sector contexts and ones showing stock recommendations, both for long positions and short positions.  We cover the ten major US stock market sectors, and three sub-sectors.  The major stock market sectors are: Energy, Basic Materials, Industrials, Consumer Cyclicals, Consumer Durables, Financials, Healthcare, Technology, Utilities and Real Estate.  We also cover sub-sectors of Semiconductor stocks, Insurance stocks and Bank stocks.
We provide non-individualized information produced by Artificial Intelligence and delivered by email newsletters each stock market morning. 
Market Context Today LLC is independent and unaffiliated.  It does not buy or sell stocks or ETFs, is not a financial advisor, and does not handle client funds.  Its business is providing trusted information to subscribers.

Founder

Teradata -Big Data Advanced Analytics

Professional Services Analytics Lead.  Special focus on Anti-Fraud analytics - detect, prevent, respond, investigate, strategy. Lead data scientist, big data consulting services to Fortune 2000 companies (finance, retail, telecommunications, hospitality, pharmaceutical sectors) and government customers. Current focus on analysis and prediction of fraud, natural language/ text/XML data social networks using multi-channel, multi-platform data streams using SQL, MapReduce, java, R, python and massively parallel database systems - Aster, Teradata, Hadoop. Business case development, proof of value execution, mentoring and presentations on these subjects.  Winner Teradata Consulting Excellence Award  for 2013.

Lead Anti-Fraud Advanced Analytics, Sr. Analytics Data Scientist

SAIC

Confidential government services on Hadoop and Oracle platforms.

Senior Software Architect

Rincon Research Corporation

Senior Technical Staff

Computer Science Innovations / Essex Corp

Principal Scientist

Fairfield and Woods, P.C.

Commercial and natural resources trial and appellate attorney.

Partner

Advanced analytics in quantitative finance.  Prediction, forecasting and visualization of dynamic time-series interactions and linkages in big data.  

ZZAlpha Ltd. applies artificial intelligence (AI) to big data in the financial markets to recommend large stocks that are likely to increase in price in the next week to month. 

Recent publication: “Linking many unusual co-incidences”, IEEE Big Data, 2017.

Prior work as senior advisor and data scientist in finance, anti-fraud, retail, healthcare, telecom, insurance, and intel with data from markets, sensors, customers, social networks and natural language/text. 
Specialties: Professional quantitative investing, big data, machine learning, artificial intelligence, data mining, pattern recognition, pattern visualization, network visualization, cloud computing.
Over 100 publications and presentations.
Prior career as commercial and environmental lawyer.
Hobby: Digital photography and acrylic painting
Volunteer: Mentor with SCORE.org

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