University of Pennsylvania

- Develop and deliver courses based on Generative AI (GenAI) and Large Language Models (LLM 's) to graduate students, faculty, and staff.
- Recommend both new and revised curricula on incorporating other aspects of Artificial Intelligence (AI) to those same groups.
- Provide best practices for learning Artificial Intelligence.

Senior AI Curriculum Advisor 

- Developed curriculum for and teach classes on Artificial Intelligence. 
- Deliver to Graduate School of Education.
- Recruited expert guest lecturer on Generative AI for AI.
- Mentored and consulted students on the use of Artificial Intelligence.

Artificial Intelligence Co-Instructor

The Wharton School

- Provide research direction and mentorship to MBA and undergraduate students.
- Offer peer counseling to fellow graduate students.
- Draft strategy options for review by AI Accountability Institute.

#AI Research Mentor & Peer Advocate

Gartner

Advises clients in strategic challenges with Machine Learning, Artificial Intelligence, and Decision Sciences.  Specializes in areas such as:

- AI Talent/ AI Organization
- Upskilling AI Staff/ AI Literacy
- AI Strategy
- AI Ethics/ Responsible AI
- Measuring AI success
- Maximizing AI profitability
- Model ensembles
- Project management
- Simplifying operations
- Feature engineering
- Data storytelling 
- Working with stakeholders

Director, Data & Analytics/ AI Expert

Analytics-Edge, LLC

•	Created Data Science/ AI curriculum for Cisco Networking Academy: 3.1 million current students, 190 countries, and 6 languages.
•	Developed and delivered the first Data Science curriculum for all of 3M Asia.
•	Created the first Artificial Intelligence course for Harvard Innovation Labs' Experfy spin-off.
•	Provided consulting and training for clients like AARP, Biogen Pharmaceuticals, IBM, Los Angeles Times, Royal Bank of Canada, St. Jude's Children's Research Hospital, T. Rowe Price, and Wells Fargo.

VP- Artificial Intelligence Educator

Booz Allen Hamilton

•	Founded the Strategic Artificial Intelligence Lab (formally Emerging Technologies AI team)
•	Increased VBA Fraud Model Performance by 500% in 8 weeks
•	Lifted sales forecasting model accuracy from 85% to over 91%
•	Raised chatbot satisfaction levels from 27% to over 70%
•	Developed firmwide Introduction to AI training for 10K employees with a 98% approval rate

Lead Artificial Intelligence Solutions Architect

Legg Mason (Acquired by Franklin Templeton)

•	Provided 440% lift in product Cross-Sell performance with breakthrough AI model using champion/ challenger Model Risk Management platform.
•	Slashed Feature Engineering timelines by 80% with CN2 rule induction methodology.
•	Built and tested almost 300 production-ready models using Python, TensorFlow, SageMaker, and various AWS/ pipelines and processes.
•	Designed, authored, and implemented Artificial Intelligence Roadmap for Legg Mason, creating of Strategic Artificial Intelligence Labs.
•	Benchmarked AUM performance, revenue growth, and product performance over 800 separate data elements.
•	Trained over 150 Legg Mason employees on AI methodology across 3 continents.

Lead Data Scientist

Morgan Stanley

•	Designed, created, and implemented a fraud detection model that captured 40% of all fraud within a 2% turndown threshold, outperforming a custom model created by a third-party consulting firm of experts.
•	Developed and executed custom data science training programs for a team of 12 Morgan Stanley employees across two continents.
•	Trained 25 professionals on 2 continents in Machine Learning/ Artificial Intelligence.
•	Implemented custom Python tool to automate Exploratory Data Analysis for all future modeling efforts.
•	Managed a junior executive to become a full Data Scientist in under four months.
•	Wrote and executed Request for Proposal for Anomaly Detection for a $40 billion book of business.

Vice President of Data Science

Various roles 

•	Wide variety of predictive analytics assignments for over 25 clients, including developing almost 100 predictive models for industries such as banking, cellular, healthcare, hospitality, and non-profits.
•	Saved St. Jude Children's Research Hospital approximately 45% on mailing costs using an advanced modeling ensemble approach of an initial filter model, a secondary response model, and a final donation model.
•	Raised Sheraton Hotels’ response rates by more than 50% for destination promotions using advanced analytics to predict direct mail conversion.
•	Built web-based fraud detection models with sub-second decisioning for PayPal, evaluating up to 1 million purchases per day.
•	Created and deployed a unique Customer Analysis Protocol for Alltel Cellular’s marketing division, allowing immediate data mining “triage” for the entire marketing staff. 
•	Chief Data Scientist, Analytics-Edge, 2000 – 2021
•	VP Consumer Lending, Bank of Hawaii, staff of 7, 1997 - 1999
•	VP Credit Cards, CoreStates Bank, $7.8 million budget, staff of 4, 1995 – 1997
•	VP Credit Card Acquisition, Citicorp, Service Excellence Award, 1986 - 1995

Contract Consulting: Vice President of Analytics/ Data Science

81k | Director, Data & Analytics/ AI @ Gartner

#AI pioneer since 1986, currently working with University of Pennsylvania while studying at Harvard GSE. 🥳

Working to make #ArtificialIntelligence friendlier and more ethical!

Provided ROI results for, among others:

- Audi
- Biogen
- Cisco
- Los Angeles Times
- Mercedes
- Morgan Stanley
- Yale University

How may I help YOU??? 🙂

🥳 𝗙𝗨𝗡! 𝗛𝗼𝘄 𝘁𝗼 𝗦𝗼𝗹𝘃𝗲 𝗮 𝗥𝘂𝗯𝗶𝗸'𝘀 𝗖𝘂𝗯𝗲!

(𝗮𝗻𝗱 𝗶𝘁 𝗺𝗮𝘆 𝗼𝗿 𝗺𝗮𝘆 𝗻𝗼𝘁 𝗯𝗲 𝗵𝗮𝗿𝗱𝗲𝗿 𝘁𝗵𝗮𝗻 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗔𝗜!) 𝗦𝗲𝗲 𝗯𝗲𝗹𝗼𝘄... ⬇️ 

I get frustrated that people believe learning AI is too hard.  It isn't.  Just to prove it, here's another thing that's easier to solve than you think- a Rubik's cube!


𝗕𝗮𝘀𝗶𝗰 𝗡𝗼𝘁𝗮𝘁𝗶𝗼𝗻 

▶ 𝗙= Turn the front face clockwise
▶ 𝗥= Turn the right face clockwise
▶ 𝗨= Turn the top face clockwise
▶ 𝗟= Turn the left face clockwise
▶ 𝗕= Turn the back face clockwise
▶ 𝗗= Turn the bottom face clockwise

▶Adding an 𝗮𝗽𝗼𝘀𝘁𝗿𝗼𝗽𝗵𝗲 (') means turn counterclockwise (like F' or R')
▶Adding a 𝟮 means turn 180 degrees (like R2 or U2)


𝗧𝗵𝗲 𝟳 𝗦𝘁𝗲𝗽𝘀 𝘁𝗼 𝗦𝘂𝗰𝗰𝗲𝘀𝘀

𝟭. 𝗪𝗵𝗶𝘁𝗲 𝗖𝗿𝗼𝘀𝘀
Start by getting all four white edge pieces around the yellow center on top, forming a plus sign. Don't worry about the corners yet - just focus on the cross shape. The white edges should also match the center colors on the sides.

𝟮. 𝗪𝗵𝗶𝘁𝗲 𝗖𝗼𝗿𝗻𝗲𝗿𝘀
Now add the white corner pieces to finish the entire white face. Find white corners in the bottom layer, position them under where they belong, then use this simple sequence: Right down, Bottom left, Right up, Bottom right. Repeat until the corner flips into place correctly.

𝟯. 𝗠𝗶𝗱𝗱𝗹𝗲 𝗟𝗮𝘆𝗲𝗿
Flip your cube so white is on the bottom. Look for edge pieces on top that don't have yellow on them. Position them above where they need to go, then use one of these sequences:
Right algorithm: U R U' R' U' F' U F
Left algorithm: U' L' U L U F U' 

𝟰. 𝗬𝗲𝗹𝗹𝗼𝘄 𝗖𝗿𝗼𝘀𝘀
Now you'll create a yellow cross on top. Use this algorithm: F R U R' U' F'. You might need to repeat this sequence 1-3 times depending on your starting pattern (dot, L-shape, or line).

𝟱. 𝗬𝗲𝗹𝗹𝗼𝘄 𝗘𝗱𝗴𝗲𝘀
Get the yellow edge pieces in their correct positions to match the side center colors. Use: R U R' U R U2 R' U. You may need to repeat this and turn the top layer between attempts.

𝟲. 𝗬𝗲𝗹𝗹𝗼𝘄 𝗖𝗼𝗿𝗻𝗲𝗿𝘀
Move the yellow corners to their correct spots (don't worry about orientation yet). Find any corner that's already in the right place, put it in the front-right-top position, then use: U R U' L' U R' U' L. Repeat as needed.

𝟳. 𝗙𝗶𝗻𝗮𝗹 𝗖𝗼𝗿𝗻𝗲𝗿𝘀
Hold the cube with an unsolved yellow corner in the front-right-top position. Use: R' D' R D and repeat until that corner shows yellow on top. Then turn only the top layer (not the whole cube!) to bring the next unsolved corner to the front-right position and repeat. Keep going until all corners are yellow-side-up!

The key is repetition - the more you practice, the more natural these movements become.

Now go have fun!

You can follow me here:

https://lnkd.in/eD9S4yH

T. Scott Clendaniel

Talks about #ai, #analytics, #datascience, #machinelearning, and #artificialintelligence

🥳 Transforming #AI Training With 106K Exuberant Followers!

Sadanand Maheshwaram

🎉👏🎉 --- 𝗚𝗲𝗻𝗔𝗜 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗪𝗶𝘁𝗵 𝗧𝗵𝗲 𝗣𝗲𝗿𝗶𝗼𝗱𝗶𝗰 𝗧𝗮𝗯𝗹𝗲! --- 🎉👏🎉

Here is the magic of video!

Generative AI can build entire new worlds.  This is one I absolutely love.  Mini planets made from elements in the period table:


𝗣𝗹𝗮𝗻𝗲𝘁𝘀/ 𝗘𝗹𝗲𝗺𝗲𝗻𝘁𝘀

1.  Copper
2.  Mercury
3.  Calcium

4.  Magnesium
5.  Palladium
6.  Uranium

7.  Arsen
8.  Lead
9.  Chlorine

Happy Chemistry

Please SAVE and SHARE!  You can follow me here: https://lnkd.in/exEjBxXA !

#AI #ArtificialIntelligence #Education #GenAI #Training

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