📄 Extracted Text (285 words)
Subject: DIFFERENTIATED EVENT: DB Theme Week: 1) Tech/Internet 12/12, 2)
Media/Telco 12/14, 3) Industrials 12/11, 4) Consumer 12/14, 5) Healthcare
12/15, 6) Energy 12/18, 7) Financials 12/19 [I]
From: Martin Zeman <[email protected]>
Date: Tue, 05 Dec 2017 15:50:15 -0500
To: Garlina Meggett
Cc: Marc Nickley
David Silber
Nadean Novogratz
Courteney B Forna
Joshua Shoshan
Xavier Avila <
Stewart Oldfield
Classification: For internal use only
Dear Garlina,
I would like invite our client Paul Barrett to the first two events —
Industrials/Materials and Tech/Internet.
His details are:
Paul Barrett
Alpha Group Capital LLC
Would you kindly let me know the location of all the presentations please?
Thank you,
Martin
From: Marc Nickley
Sent: Tuesday, December 05, 2017 12:43 PM
EFTA01435573
Subject: DIFFERENTIATED EVENT: DB Theme Week: 1) Tech/Internet 12/12, 2)
Media/Telco 12/14, 3) Industrials 12/11, 4) Consumer 12/14, 5) Healthcare
12/15, 6) Energy 12/18, 7) Financials 12/19
Importance: High
Classification: Public
{cid:[email protected]}
*** For Institutional Clients Only- This is Not a Product of Research * * *
DB Spec Sales, Research & Trading teams are hosting the 3rd annual Theme
Week in NYC (12/11-12/19) where each sector team talks through key themes,
ideas, flows & sector/mkt set-up heading into the new year. These are some
of our best attended events all year & we hope you can make it! Interested
in attending any of them?
SCHEDULE:
MON 12/11: 12pm Industrials/Materials
TUE 12/12: 145pm Tech/Internet (Tax reform, Tech M&A, AI / Machine Learning,
Cloud/Datacenter, SaaS, Video Games, Semis (peak?, M&A, silicon carbide/-
CREE), AAPL, mobile video, ADAS, Auto Tech, industrial tech/robotics, 5G,
SDN, Mobile Payments, blockchain/crypto etc)
THUR 12/14: 12pm Consumer
THUR 12/14: 12pm Media/Telco
FRI 12/15: 12pm Healthcare
EFTA01435574
MON 12/18: Energy
TUE 12/19: Financials
EFTA01435575
ℹ️ Document Details
SHA-256
c9a68cac03ef4abd123379083ce8027a115a142248f6468f66c7d9bfe2b082a2
Bates Number
EFTA01435573
Dataset
DataSet-10
Document Type
document
Pages
3
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