webinar register page

Webinar banner
A Conversation With .... Ganesh Mani on Managing the Data Supply Chain
Read the 2-pager by Ganesh Mani here: http://bit.ly/2TvfbnW

Data Supply Chain Management is the collection, organization, flow and streamlining of data – including any pre-processing and normalization steps - to make it usable, guided by domain knowledge, for the next downstream process. Typically, this next step involves analysis via traditional statistical or contemporary machine learning tools. The end goal of the exercise is to generate insights that can imply customer value, inform revenue or pricing metrics, optimize costs and help gain a competitive advantage in the marketplace.

In particular, this webinar will discuss:

TYPES OF DATA
- Human vs. machine-generated
- Passive vs. active (incl. proactively collecting additional elements)
- Numbers, text, audio-video (incl. derivatives/summaries of them)
- Base vs. Meta

PROVENANCE
- By location / geography
- By demographics

FINANCIAL DATA SOURCES
- Govt. / Exchange-derived
- Company-generated and reported (to the regulators)
- Other (incl. alternative data sources)

WHY THE BUZZ AROUND ALTERNATIVE DATA?
- The promise of an “edge”
- The plethora of new sources (which is good and bad)
- Focus on additional decision dimensions: e.g., ESG

For a traditional or alternative portfolio analyst, it can help with security selection, asset allocation, and risk management tasks.

Our conversation will last approximately 35 minutes with the remaining time for Q&A.
This session will be recorded, and the recording link will be sent to those who have registered for the webinar.

Apr 7, 2020 01:00 PM in Eastern Time (US and Canada)

Webinar logo
* Required information
Loading

Speakers

Kathy Wilkens
FDP Curriculum Advisor @FDP Institute
Kathryn Wilkens, Ph.D., CAIA, is a curriculum advisor to the Financial Data Professional Institute. Her other professional activities include copy editing for the Journal of Alternative Investments, regularly contributing to Practical Applications, and providing subject matter expertise for Wiley's Efficient Learning Platform (Chartered Alternative Investment Analyst exams). She is also a research associate with the Center for International Securities and Derivatives Markets at the University of Massachusetts at Amherst. Kathryn is the president and founder of Pearl Quest LLC, providing a host of research, operational and educational consulting services in the areas of investments and data science since 2011.
Mehrzad Mahdavi
Executive Director @FDP Institute
Dr. Mahdavi is a technology entrepreneur with focus on breakthrough digital transformation for the Fintech and the energy sectors. He is a recognized expert and frequent keynote speaker on the application of AI, IoT, and Cloud computing in the financial sector and industries. Dr. Mahdavi managed major global businesses in the energy sector. Dr. Mahdavi is a trusted advisor for global 500 firms in the field of digital transformation. Prior to this position, he served as the Chief Digital Officer of Weatherford International. He also had and a 22-year career in Schlumberger in a variety of technical and management positions. Mehrzad holds a PhD in Nuclear Science and Technology from the University of Michigan a Bachelor of Science in Electrical and Electronics Engineering from the University of Illinois at Urbana-Champaign.
Ganesh Mani
Adjunct Faculty @Carnegie Melon University, Ex-SSGA
Ganesh Mani is on the adjunct faculty of Carnegie Mellon University and is considered a thought leader in the areas of investment management and AI / FinTech. He has been a pioneer in applying innovative techniques to multiple asset classes and has worked with large asset management firms incl. hedge funds, after having sold one of the earliest AI/ML-based investment management boutiques into SSgA (in the late nineties), nucleating the Advanced Research Center there. Ganesh has been featured on ABC Nightline and in a Barron's cover story titled "New Brains on the Block". Mr. Mani has an MBA in Finance and a Ph.D. in Artificial Intelligence from the University of Wisconsin-Madison, as well as an undergraduate degree in Computer Science from the Indian Institute of Technology, Bombay. Ganesh is a charter member of TiE (www.TiE.org), was an early member of the Chicago Quantitative Alliance and is on the advisory board of the Journal of Financial Data Science.