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10/21/2014 to 10/22/2014
When: October 21st, 2014
9:30 AM
Where: Deloitte NYC Conference Center
30 Rockefeller Plaza
New York, New York  10112-0015
United States
Contact: Jeri Lou McKinney
214-901-4305


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Please join us for the NYC Corporate Knowledge Strategies Forum 



Location: Deloitte Conference Center

30 Rockefeller Plaza 
40th Floor (elevator bank 20-42)
New York   NY 
10112-0015

Lunch provided both days

 

Conference Bridge open for remote members for eDialogue with Judges (you must register to receive the number and eligible for CLE ethics credit). Time slot -- 2-3:30pm eastern

Forum Fee by Membership Type:

Academic, Non-profit and Government members: $150 per person 

Consultant, Lawyer, Software & Service Providers: $1595 per person

Non-members: $1795 per person 

   

 Download -- NYC_Agenda_web.pdf



New York Forum

October 21st & 22nd



 

NYC Planning Committee:

Richard Gomes (Citi), Guy St Clair (SMR International), Dave Swan (JDS Uniphase), Jon Newcomb (Comcast), Anne Kershaw (Knowledge Strategy Solutions), Jeri Lou McKinney (CKS) and Bill Belt (Deloitte)

 

Topics:
-       Corporate Members Only Session
-       Can Anyone Speak When NSA Wants Your Information?
-       Information Governance Topic TBD 

-       Knowledge loss prevention

-       eDialogue w/Judges Session
-       Attorney Review Methodologies
-       Community breakout sessions w/Speakers
-       From Knowledge to Value
-       2 sessions TBD



Tuesday, October 21st, 2014         

 

9:30 – 11:30am           Corporate Only Session

                              Corporate-Only Session

                              Location: 40th floor

Topics developed by Advisory Board, National Leaders & NYC Planning Committee

 

11:30–12:00pm           Networking &  Non-Corporate Registration

                       
12:15pm                     Lunch Presentation
                                  Can Anyone Speak When NSA Wants Your Information? Speaker Mike Geske

                                   

 1:00 –1:45pm             A Non-technical Primer on Machine Learning Discussion

 

1. What is Machine Learning? (types of algorithms, like clustering, classification, and neural nets)

2. How Machine Learning is Used (various applications of machine learning along with plenty of real-world examples)

3. Separating Science Fact from Science Fiction (limits to machine learning, future applications of machine learning)

 

 

Whether we realize it or not, machine learning plays an increasingly important part in our lives. From filtering spam to recommending movies to assessing credit-worthiness, companies rely on machine learning to make decisions that directly impact their customers. As businesses grapple with overflowing data, machine learning techniques allow insight into their data that wouldn't be possible without computer assistance. This presentation offers a non-technical overview of machine learning followed by an opportunity to ask questions and discuss different perspectives.  

Facilitators: Nat Byington (Zoellner Byington), Bill Belt (Deloitte), TBD

 

 

2:00 –3:30pm                eDialogue w/Judges Session

                                    (Member focused questions)
                                     Facilitator: Hon. Judge Ron Hedges

                                    Panel: Hon. Judge Douglas Arpert,  Hon. Judge Frank Maas, Hon. Judge Jay Francis and Hon. Judge                                             Holly Fitzsimmons

3:30 – 4:15pm               Knowledge loss prevention

                                       How do you know that your know-how isn’t walking out the door?

                                       Facilitators: Richard Gomes (Citi), Brian Schrader (BIA)

 

4:15 – 5:00pm               Attorney Review Methodologies -- TBD 

                                      (Efficiencies, lower cost and better work product)

                                       

5:00pm - 6:00pm           Reception (location TBD)

                                     

 

Wednesday, October 22nd, 2014 

 

 

8:00am – 8:45am             Breakfast

 

8:55am – 9:00am             Welcome Message

 

9:00am – 11:00am          Community Sessions

 

                              Knowledge Asset Management

                              Privacy & Security

                              eDiscovery

                              Data Analytics

                              Information Governance

 

List of Moderators: Bill Belt (Deloitte), Anne Kershaw (Knowledge Strategy Solutions,Columbia University), Richard Gomes (Citi) Guy St Clair (SMR International), Jeri Lou McKinney (CKS), Ronki Ekwenki (Duff & Phelps)

 

 

11:15 – 12:00                From Knowledge to Value

                                       Speaker: Tim Powell

12:15pm                        Networking Lunch
1:00 – 2:00pm                Topic TBD
2:15 – 3:30pm                Topic TBD        

 

 

 

 

 

 

 

Gold Sponsor:

Deloitte

 

 

Exhibitor Sponsor:

RVM & Falcon Discovery

 

 

Organizational Sponsors
                                            
Equivio, Lighthouse eDiscovery, ThinkRazor

 

 

 

Membership Registration: https://cks.site-ym.com/general/register_member_type.asp?

NYC Forum Registration: http://www.cksforum.com/events/event_details.asp?id=478550

 

 

 

 

 


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