Personal Information
Organization / Workplace
Greater Philadelphia Area United States
Occupation
CEO and CoFounder Phenom People
Industry
Technology / Software / Internet
Website
http://www.imomentous.com
About
Mahe Bayireddi is CEO & Co-Founder of Phenom People, a Talent Relationship Marketing (TRM) platform.
We deliver concrete business benefits in the form of reducing cost per hire and increasing the quality of hire.
Phenom People is the leader in the Talent Relationship Marketing category. We believe that phenomenal people want to work at phenomenal companies. To attract the best talent phenomenal companies must build relationships with the candidates through personalized digital experiences. The Phenom Talent Relationship Marketing Platform automates the process for driving awareness, interest, engagement and acquisition for talent
- Presentations
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14 Tips to Entrepreneurs to start the Right Stuff
Patrick Stähler
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8 years ago
SXSW 2018 - Top Trends
Matteo Sarzana
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6 years ago
The Demo Driven Development The story you product tell
Oana Juncu
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8 years ago
Educational psychology in easy words
Dr. Amjad Ali Arain
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5 years ago
Rasa AI: Building clever chatbots
Tom Bocklisch
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6 years ago
Automatic Features Generation And Model Training On Spark: A Bayesian Approach
Spark Summit
•
7 years ago
A roadmap to omnichannel championship
Openbravo
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8 years ago
Buzzword bingo: The real deal behind omnichannel, personalization and headless
Magnolia
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5 years ago
Content Strategy for Omnichannel by Rebecca Schneider and Kevin P Nichols 2013 CSA Keynote
Kevin Nichols
•
10 years ago
Relevant Search Leveraging Knowledge Graphs with Neo4j
GraphAware
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6 years ago
Neo4j as a Key Player in Human Capital Management (HCM), GraphAware
Neo4j
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6 years ago
Knowledge Graphs and Chatbots with Neo4j and IBM Watson - Christophe Willemsen
GraphAware
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6 years ago
Searching on Intent: Knowledge Graphs, Personalization, and Contextual Disambiguation
Trey Grainger
•
8 years ago
Conversational Search, Entities, and Knowledge Graph - Mozcon 2014
Justin Briggs
•
9 years ago
Using AWS to Build a Graph-Based Product Recommendation System (BDT303) | AWS re:Invent 2013
Amazon Web Services
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10 years ago
How to Make Customer Support Your Product's Greatest Feature
Atlassian
•
7 years ago
Reimagining Customer Support Communities - SWARM 2015
Caty Kobe
•
8 years ago
10 Inspiring Zappos Customer Support Stories
Infinit-O Global, Limited
•
10 years ago
Commerce chatbot - dialog manager
HoChul Shin
•
6 years ago
Chatbot and AI Design Principles
Mauricio Perez
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6 years ago