Return-Path: Received: from vps.transocean.com by vps.transocean.com with LMTP id oL2hCmKPs1oMaAAAInt2oQ ; Thu, 22 Mar 2018 04:11:30 -0700 Return-path: Envelope-to: cs@transocean.com Delivery-date: Thu, 22 Mar 2018 04:11:30 -0700 Received: from mail.corporate-courses.com ([66.96.202.32]:41052) by vps.transocean.com with esmtp (Exim 4.89_1) (envelope-from ) id 1eyy7v-0006vP-OZ for cs@transocean.com; Thu, 22 Mar 2018 04:11:30 -0700 MIME-Version: 1.0 From: "Artificial Intelligence" Reply-To: serene@corporate-courses.com To: cs@transocean.com Subject: =?windows-1252?Q?Understand_the_steps_involved_in_the_process_of_?= =?windows-1252?Q?deploying_AI_based_tools_and_apps_in_one=92s__organizati?= =?windows-1252?Q?on_?= Content-Type: multipart/alternative; boundary="----=_NextPart_001_6D52_47F74479.5F4E7CAE" Date: Thu, 22 Mar 2018 18:54:34 +0800 Message-ID: <33642327158881590517281@VM-YEESING> X-Spam-Status: No, score=0.8 X-Spam-Score: 8 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 28 - 29 May 2018 , Hong Kong 24 - 25 June 2018 , Dubai, United Arab Emirates [...] Content analysis details: (0.8 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 T_RP_MATCHES_RCVD Envelope sender domain matches handover relay domain -0.0 SPF_PASS SPF: sender matches SPF record 0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60% [score: 0.5000] 0.0 HTML_MESSAGE BODY: HTML included in message X-Spam-Flag: NO ------=_NextPart_001_6D52_47F74479.5F4E7CAE Content-Type: text/plain; charset="windows-1252" Content-Transfer-Encoding: quoted-printable Artificial Intelligence for Business Executives 28 - 29 May 2018 , Hong Kong 24 - 25 June 2018 , Dubai, United Arab Emirates 17 - 18 July 2018 , Kuala Lumpur, Malaysia Interested to know more about this event, please reply with the subject cod= e =93AI-C" or contact +65 6825 9551 for the full agenda and trainer profile= now. =20 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 pro= gram covers concepts, ideas and applications from leading companies and sev= eral use cases from the domain of interest to illustrate how these technolo= gies can solve problems and create competitive advantage. =20 By end of the course, the delegates will be able to: =FC GAIN an understanding of the fundamentals and business applicability o= f widely adopted disruptive technologies like Artificial Intelligence (AI) = Machine Learning (ML), Deep Learning and Robotics =FC GAIN insights, through examples & use cases, about the disruptions, bu= siness models, tasks, decision support systems and projections that AI powe= red apps & systems can bring about in various functional domains of a corpo= ration =FC UNDERSTAND the steps involved in the process of deploying AI based too= ls and apps in one=92s organization and also the specializations and skills= needed to become an AI professional =FC DEFINE business objective and expected benefits from AI, ML, DL and Ro= botics =FC SELECT an AI Technology Stack to use applicable back at work =FC IDENTIFY the data sources and data types =FC IDENTIFY the relevant AI technologies to use back at work =FC LIST the benefits of their approach relevant to business objective and= expected benefits =20 If you do not wish to receive event update, please reply with subject titl= e Unsubscribe-C cs@transocean.com ------=_NextPart_001_6D52_47F74479.5F4E7CAE Content-Type: text/html; charset="windows-1252" Content-Transfer-Encoding: quoted-printable

Artifi= cial Intelligence for Business Executives<=3Fxml:namespace prefix =3D o ns = =3D "urn:schemas-microsoft-com:office:office" />

28 - 29 May 2018 , Hong Kong

24 - 25 June 2018 , Dubai, United Arab Emirates=

17 - 18 July 2018 , Kuala Lumpur, Malaysia

Interested to know more about this event, please reply AI-C" or contact +65 6825 9551 for the full agenda and trainer profile now.

 

This program is for executives and professionals who= want to learn about the capabilities of Artificial Intelligence, Machine L= earning and Deep Learning that are coming to pervade the world and workplac= e and are finding acceptance in almost all the industries and sectors to so= lve many practical problems of cost management, sales growth and technologi= cal innovation. The program covers concepts, ideas and applications from le= ading companies and several use cases from the domain of interest to illust= rate how these technologies can solve problems and create competitive advan= tage.

 

By end of the course, the delegates will be able to:=

=FC  GAIN an understanding of the fundamentals and business applicability = of widely adopted disruptive technologies like Artificial Intelligence (AI)= Machine Learning (ML), Deep Learning and Robotics

=FC  GAIN insights, through examples & use cases, about the disruptio= ns, business models, tasks, decision support systems and projections that A= I powered apps & systems can bring about in various functional domains = of a corporation

=FC  UNDERSTAND the steps involved in the process of deploying AI based t= ools and apps in one=92s organization and also the specializations and skil= ls needed to become an AI professional

=FC  DEFINE business objective and expected benefits from AI, ML, DL and = Robotics

=FC  SELECT an AI Technology Stack to use applicable back at work

=FC  IDENTIFY the data sources and data types

=FC  IDENTIFY the relevant AI technologies to use back at work=

= =FC  LIST the benefits of their approach relevant to business objective and= expected benefits

 

If you do not wish to receive event update, please reply with  subject title Unsubscribe-C cs@t= ransocean.com

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