[Efficient Server AI Track]: Integrating Transformers into Search: Data, Hardware & Software Engineering Challenges | Kisaco Research

Abstract coming soon...

Speaker(s): 
Moderator

Author:

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

Karl Freund

Founder & Principal Analyst
Cambrian AI Research

Karl Freund is the founder and principal analyst of Cambrian AI Research. Prior to this, he was Moor Insights & Strategy’s consulting lead for HPC and Deep Learning. His recent experiences as the VP of Marketing at AMD and Calxeda, as well as his previous positions at Cray and IBM, positions him as a leading industry expert in these rapidly evolving industries. Karl works with investment and technology customers to help them understand the emerging Deep Learning opportunity in data centers, from competitive landscape to ecosystem to strategy.

 

Karl has worked directly with datacenter end users, OEMs, ODMs and the industry ecosystem, enabling him to help his clients define the appropriate business, product, and go-to-market strategies. He is also recognized expert on the subject of low-power servers and the emergence of ARM in the datacenter and has been a featured speaker at scores of investment and industry conferences on this topic.

Accomplishments during his career include:

  • Led the revived HPC initiative at AMD, targeting APUs at deep learning and other HPC workloads
  • Created an industry-wide thought leadership position for Calxeda in the ARM Server market
  • Helped forge the early relationship between HP and Calxeda leading to the surprise announcement of HP Moonshot with Calxeda in 2011
  • Built the IBM Power Server brand from 14% market share to over 50% share
  • Integrated the Tivoli brand into the IBM company’s branding and marketing organization
  • Co-Led the integration of HP and Apollo Marketing after the Boston-based desktop company’s acquisition

 

Karl’s background includes RISC and Mainframe servers, as well as HPC (Supercomputing). He has extensive experience as a global marketing executive at IBM where he was VP Marketing (2000-2010), Cray where he was VP Marketing (1995-1998), and HP where he was a Division Marketing Manager (1979-1995).

 

Panellists

Author:

Zairah Mustahsan

Senior Data Scientist
You.com

Zairah Mustahsan is a Staff Data Scientist at You.com, an AI chatbot for search, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for machine learning. Zairah is a regular speaker at AI conferences such as NeurIPS, AI4, AI Hardware & Edge AI Summit, and ODSC. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.

Zairah Mustahsan

Senior Data Scientist
You.com

Zairah Mustahsan is a Staff Data Scientist at You.com, an AI chatbot for search, where she leverages her expertise in statistical and machine-learning techniques to build analytics and experimentation platforms. Previously, Zairah was a Data Scientist at IBM Research, researching Natural Language Processing (NLP) and AI Fairness topics. Zairah obtained her M.S. in Computer Science from the University of Pennsylvania, where she researched scikit-learn model performance. Her findings have since been used as guidelines for machine learning. Zairah is a regular speaker at AI conferences such as NeurIPS, AI4, AI Hardware & Edge AI Summit, and ODSC. Zairah has published her work in top AI conferences such AAAI and has over 300 citations. Aside from work, Zairah enjoys adventure sports and poetry.

Author:

Sravanthi Rajanala

Director, Machine Learning & Search
Walmart Tech

Sravanthi Rajanala is the Director of Data Science and Machine Learning in Walmart's Search Technologies. She began her career in telecom and worked for Microsoft and Nokia before joining Bing Search in 2011 to work in machine learning and search. Sravanthi has led initiatives in query and document understanding, ranking, and question answering. In 2021, she joined Walmart and now leads the Search Core Algorithms, Machine Translation, and Metrics Science. Sravanthi holds a Master's degree in Computational Science from the Indian Institute of Science and a Bachelor's degree in Computer Science from Osmania University.

Sravanthi Rajanala

Director, Machine Learning & Search
Walmart Tech

Sravanthi Rajanala is the Director of Data Science and Machine Learning in Walmart's Search Technologies. She began her career in telecom and worked for Microsoft and Nokia before joining Bing Search in 2011 to work in machine learning and search. Sravanthi has led initiatives in query and document understanding, ranking, and question answering. In 2021, she joined Walmart and now leads the Search Core Algorithms, Machine Translation, and Metrics Science. Sravanthi holds a Master's degree in Computational Science from the Indian Institute of Science and a Bachelor's degree in Computer Science from Osmania University.

Author:

Selcuk Kopru

Director, Engineering & Research, Search
eBay

Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.

Selcuk Kopru

Director, Engineering & Research, Search
eBay

Selcuk Kopru is Head of ML & NLP at eBay and is an experienced AI leader with proven expertise in creating and deploying cutting edge NLP and AI technologies and systems. He is experienced in developing scalable Machine Learning solutions to solve big data problems that involve text and multimodal data. He is also skilled in Python, Java, C++, Machine Translation and Pattern Recognition. Selcuk is also a strong research professional with a Doctor of Philosophy (PhD) in NLP in Computer Science from Middle East Technical University.