Seminar • AI Institute — AI and ML at Thomson ReutersExport this event to calendar

Monday, February 25, 2019 11:00 AM EST

Khalid Al-Kofahi, Head, Corporate R&D, Center for AI and Cognitive Computing
Thomson Reuters

In this talk, I will describe how AI is already transforming knowledge work, focusing on how professionals find information, interact with information-based applications and how they make decisions. I will start with a quick overview of Thomson Reuters and the R&D team: who we are and what we do. Then, discuss knowledge work and the main challenges / opportunities that we see across a number of industries followed by a number of case studies from the Legal, Financial & Risk, and News industries. For each cases study, I will introduce a problem, why it matters and how we solved it.


Bio: Khalid Al-Kofahi heads corporate R&D at Thomson Reuters and its Center for AI and Cognitive Computing, where he leads a team of scientists, engineers and designers on performing applied research and custom algorithm development to develop AI/ML-enabled applications for professionals in the Legal, Financial, Risk and Tax and Accounting and the news industries. The team focus areas include natural language processing, search and recommender systems, question answering, reasoning, text and data analytics, quantitative finance and machine learning. 

Khalid has a Ph.D. from Rensselaer Polytechnic Institute, USA, M.S. from Rochester Institute of Technology, USA, both in Computer Engineering and a B.S. in Electrical Engineering from Jordan University of Science and Technology, Jordan. He joined Thomson Reuters in 1995 and for the past 24 years has led and contributed to dozens of large scale AI/ML-enabled applications that are used by professionals around the world.

Location 
DC - William G. Davis Computer Research Centre
1302
200 University Avenue West

Waterloo, ON N2L 3G1
Canada

S M T W T F S
26
27
28
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
1
  1. 2024 (100)
    1. April (23)
    2. March (27)
    3. February (25)
    4. January (25)
  2. 2023 (296)
    1. December (20)
    2. November (28)
    3. October (15)
    4. September (25)
    5. August (30)
    6. July (30)
    7. June (22)
    8. May (23)
    9. April (32)
    10. March (31)
    11. February (18)
    12. January (22)
  3. 2022 (245)
  4. 2021 (210)
  5. 2020 (217)
  6. 2019 (255)
  7. 2018 (217)
  8. 2017 (36)
  9. 2016 (21)
  10. 2015 (36)
  11. 2014 (33)
  12. 2013 (23)
  13. 2012 (4)
  14. 2011 (1)
  15. 2010 (1)
  16. 2009 (1)
  17. 2008 (1)