Return-Path: Delivered-To: kathy@transocean.com Received: from vps.transocean.com by vps.transocean.com with LMTP id 0BupBtBZ2VqoBAAAInt2oQ for ; Thu, 19 Apr 2018 20:09:04 -0700 Return-path: Envelope-to: kathy@transocean.com Delivery-date: Thu, 19 Apr 2018 20:09:04 -0700 Received: from mail.gf-training.org ([103.247.134.14]:55940) by vps.transocean.com with esmtp (Exim 4.89_1) (envelope-from ) id 1f9MPx-0000Ix-TX for kathy@transocean.com; Thu, 19 Apr 2018 20:09:04 -0700 MIME-Version: 1.0 From: "Biz Artificial Intelligence" Reply-To: nick@gf-training.org To: kathy@transocean.com Subject: AI for Business Content-Type: multipart/alternative; boundary="----=_NextPart_001_3182_7E5B1233.36317F99" Date: Fri, 20 Apr 2018 10:57:17 +0800 Message-ID: <71763300332801828030552@user-PC> X-Spam-Status: No, score=2.6 X-Spam-Score: 26 X-Spam-Bar: ++ X-Ham-Report: Spam detection software, running on the system "vps.transocean.com", has NOT identified this incoming email as spam. The original message has been attached to this so you can view it or label similar future email. If you have any questions, see root\@localhost for details. Content preview: Artificial Intelligence for Business Executives Fundamentals of Artificial Intelligence, Machine Learning, Deep Learning & Robotics 28th - 29th May 2018 in Hong Kong & 24th - 25th June 2018 in Dubai, United Arab Emirates & 17th - 18th July 2018 in Kuala Lumpur, Malaysia [...] Content analysis details: (2.6 points, 3.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- 0.0 URIBL_BLOCKED ADMINISTRATOR NOTICE: The query to URIBL was blocked. See http://wiki.apache.org/spamassassin/DnsBlocklists#dnsbl-block for more information. [URIs: transocean.com] -0.0 SPF_PASS SPF: sender matches SPF record 0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60% [score: 0.4646] 0.0 HTML_MESSAGE BODY: HTML included in message 1.8 PYZOR_CHECK Listed in Pyzor (http://pyzor.sf.net/) X-Spam-Flag: NO ------=_NextPart_001_3182_7E5B1233.36317F99 Content-Type: text/plain; charset="windows-1252http-equivContent-Type" Content-Transfer-Encoding: quoted-printable Artificial Intelligence for Business Executives Fundamentals of Artificial Intelligence, Machine Learning, Deep Learning & = Robotics 28th - 29th May 2018 in Hong Kong & 24th - 25th June 2018 in Dubai, United Arab Emirates & 17th - 18th July 2018 in Kuala Lumpur, Malaysia =20 Dear Colleague, This program is for executives and professionals who want to learn about th= e capabilities of Artificial Intelligence, Machine Learning and Deep Learni= ng that are coming to pervade the world and workplace and are finding accep= tance in almost all the industries and sectors to solve many practical prob= lems of cost management, sales growth and technological innovation. The program covers concepts, ideas and applications from leading companies = and several use cases from the domain of interest to illustrate how these t= echnologies can solve problems and create competitive advantage. By end of this course, delegates will be able to: GAIN an understanding of the fundamentals and business applicability of wi= dely adopted disruptive technologies like Artificiall Intelligence (AI) Mac= hine Learning (ML), Deep Learning and Robotics GAIN insights, through examples & use cases, about the disruptions, busine= ss models, tasks, decision support systems and projections that AI powered = apps & systems can bring about in various functional domains of a corporati= on=20 UNDERSTAND the steps involved in the process of deploying AI based tools a= nd apps in one=92s organization and also the specializations and skills nee= ded to become an AI professional DEFINE business objective and expected benefits from AI, ML, DL and Roboti= cs SELECT an AI Technology Stack to use applicable back at work IDENTIFY the data sources and data types IDENTIFY the relevant AI technologies to use back at work LIST the benefits of their approach relevant to business objective and exp= ected benefits To enroll / complete agenda, simply reply with subject; "brochureAIBHK=94 for HongKong session "brochureAIBDXB=94 for Dubai session "brochureAIBKL=94 for KL session if you do not receive any reply; Val DID : + 65 6825 9555 Whatsapp only +65 9128 5221 (text for fast response) To unsubscribe, reply with subject =93Unsubs kathy@transocean.com ------=_NextPart_001_3182_7E5B1233.36317F99 Content-Type: text/html; charset="windows-1252http-equivContent-Type" Content-Transfer-Encoding: quoted-printable

Arti= ficial Intelligence for Business Executives

Fundamentals of Artificial Intelligence, Machine Learning, Deep Le= arning & Robotics


28th - 29th May 2018 in Hong Kong
&
24th - 25th Ju= ne 2018 in Dubai, United Arab Emirates
&
17th - 18th July 2018 in= Kuala Lumpur, Malaysia

 

Dear Colleague,

This program is for executives and professionals who want to learn about= the capabilities of Artificial Intelligence, Machine Learning and Deep Lea= rning that are coming to pervade the world and workplace and are finding ac= ceptance in almost all the industries and sectors to solve many practical p= roblems of
cost management, sales growth and technological innovation. <= /P>

The program covers concepts, ideas and applications from leading compani= es and several use cases from the domain of interest to illustrate how thes= e technologies can solve problems and create competitive advantage.

By end of this course, delegates will be able to:

  • GAIN an understanding of the fundamentals and  business applicabil= ity of widely adopted disruptive technologies like Artificiall Intelligence= (AI) Machine Learning (ML), Deep Learning and Robotics
  •  GAIN insights, through examples & use cases, about the disrup= tions, business models, tasks, decision support systems and projections tha= t AI powered apps & systems can bring about in various functional domai= ns of a corporation 
  •  UNDERSTAND the steps involved in the process of deploying AI base= d tools and apps in one=92s organization and also the specializations and s= kills needed to become an AI professional
  •  DEFINE business objective and expected benefits from AI, ML, DL a= nd Robotics
  •  SELECT an AI Technology Stack to use applicable back at work
  •  IDENTIFY the data sources and data types
  •  IDENTIFY the relevant AI technologies to use back at  work
  •  LIST the benefits of their approach relevant to business objectiv= e and expected benefits


To enroll / complete agenda, simply reply with subject;

"brochureAIBHK=94 for = HongKong session
"brochureAIBDXB=94 for Dubai session
"brochureAIBKL= =94 for KL session


if you do not receive any reply;
Val DID : + 65 6825 9555
What= sapp only +65 9128 5221 (text for fast response)

To unsubscribe, reply with subject =93Unsubs kathy@transocean.com=

------=_NextPart_001_3182_7E5B1233.36317F99--