A Workshop on ARTIFICIAL INTELLIGENCE MASTERCLASS & bus. Applications : an ABC for Entrepreneurs

 

 Entrepreneurs Ventures Network HOLDING SAL announces

Imagine 2019 serie

A Workshop on "ARTIFICIAL INTELLIGENCE MASTERCLASS & bus. Applications: an ABC for Entrepreneurs"

Delivered by Dr. Samer Nassar

SMALL VILLE HOTEL November 14th – 2018

Proudly celebrating the Global Entrepreneurship Week

A MUST LEARN FOR BUSINESS APPLICATIONS

The course has two goals:

  • Definitions: AI, machine learning (including deep learning, reinforcement learning), data analytics, customer science, etc.
  • Help organizations develop and conceptualize business application
 

 

 

Highlight Of The Training

 

A practical grounding in artificial intelligence (AI) and its business applications, equipping you with the knowledge and confidence you need to help you transform your organization into an innovative, efficient, and sustainable company of the future.

The ability to lead informed, strategic decision making and augment business performance by integrating key AI management and leadership insights into the way your organization operates.  

This a condensed introduction to key AI and machine learning concepts and techniques, showing you what is (and isn’t) possible with these exciting new tools and how they can benefit your organization. You’ll learn a language and framework to talk to both technical experts and executives in order to better oversee the practical application of data science in your organization.

COURSE AGENDA

Introduction to AI

  • This introductory module guides you through the evolution of key AI technologies and how they have developed to transform industry and business practice. The relationship between AI and collective intelligence, as well as the implications of this partnership for business strategy and society are also introduced. As part of an ongoing project, you’ll begin to consider your own organization in terms of the application of AI technologies.
  • Definitions: AI, machine learning (including deep learning, reinforcement learning), data analytics, customer science, etc.
  • Historical context: AI past and present
  • Present-day usage
  • AI within the corporate context
  • Significance and urgency: Why now, and why you?

MACHINE LEARNING IN BUSINESS

  • core concepts of machine learning – an AI technology which aims to design, understand, and use computer programs to learn from experience. Discover how machine learning can be successfully integrated into business functions through rich case studies and faculty-led videos that examine the opportunities that this sub eld of AI affords.
  • For your ongoing project, you’ll propose ideas for the application of machine learning in a business context of your choice.

 

NATURAL LANGUAGE PROCESSING IN BUSINESS

  • This module is devoted to natural language processing (NLP), an AI technology developed to intelligently process human language. Through rich case studies and faculty-led videos, which explore functions such as machine translation, summarization, and sentiment analysis, you’ll learn how NLP can be skillfully deployed in a series of business contexts. For the next part of your project, the focus will shift to NLP and its strategic implementation in a business context of your choice.

AI in industry today: Practical applications and benchmark leaders

  • A selection of practical applications
  • Strategic approaches: Commissioning versus procurement (build or buy?)
  • AI maturity models and the enabling preconditions within your organization to use AI well (data, skills, tools, etc.)

Data in your organization: What are your raw materials?

  • What data assets do you have, where does it live, who owns those systems, where are the gaps, and how could you fill them (e.g., by buying data or installing sensors)?
  • What skills do you have access to from your part of the business, and what gaps might there be?
  • What tools do you use, where are the gaps, what other options are there?

Project selection: What makes a good AI use case?

  • Overview of the four key criteria for successful project selection and how to assess them
  • Group exercise: Create a project longlist (often categorized broadly within marketing, operational efficiency, operational effectiveness, and commercial optimization)

 

  • Scoring longlist against key criteria and plenary discussion

Managing an AI project: How is it is different from other projects?

  • Similarities and differences
  • Project lifecycle and timescales
  • Project delivery methodology
  • Typical staffing profiles
  • Cost estimates for external suppliers (for data science as a service and for consulting)
  • Performance metrics
  • Operations and maintenance
  • Governance and risk management

Leading or supporting a data transformation

  • What is data transformation (as opposed to gradual reform), and when might it be
  • necessary?
  • The ABCs of data transformation
  • Common pitfalls facing successful data transformation initiatives
  • Different operational models for data science within a modern organization
  • Next steps

 

 

 

 

 

 

 

 

 

 

 

 

Your Host

Samer is PhD. Holder and a data mining expert from University of Alberta in Data Stream Summarization using Spatial Data Mining.

He published two prominent papers in Database

  • Theory that feature Monte Carlo algorithms mixed with Sufficient Statistics.
  • Samer has worked in Thales and Hostopia in Canada, and has worked at Yahoo!, Microsoft and
  • DMX Group in the USA supporting data mining and development efforts. Recently he was the
  • Chief Data Scientist at EDS Alliance.

Samer has applied contributions in GAMES (Othelo), CLUSTERING (OPTICS), SEARCH (Blog Search Engine), VIRTUALIZATION (Model Based Testing), and MACHINE LEARNING & REALIZATION (TSP- OS using iPersonalized VC++). Samer is a leader in .Net systems that follow Step Theory and has published a Search Encyclopedia using concepts like Worry Free Environment and Artificial Assembly Language.

He is

  • the author of Software Area Research Arm (SARA) – a VC++ ensemble that consists of over 4 million lines and multitude of Machine Learning techniques pristine.
  • Accomplishments are first in Microsoft Theory and first in CS Department SIGMOD publishing. Claim to Fame are Molecular Genetics and Machine Learning. CS Wanting
  • Invention List / Human Intellect
    • Theory Push
    • Virtualization & Dynamic k-means
    • Artificial Assembly Language
    • VC++ Virtual Cities, Search University
    • Data Stream Summarization methodology
    • Vector doubling and backing store schemes
    • Triangle Inequalities speed up
    • Bilayer information acceptance
    • Wavelets compressible dynamics
    • Memorization information gain/Counting
    • Application Pull
    • ClinicWiz
    • MedSec
    • MedLab
    • Gevalya
    • VM Migration

 

  • PowerShell Shell Hackathon
  • Model Test Carmine
  • Blogs and Opinion Search
  • First in class 1999 - 2005
  • Fifth around the world in KDDCup Competition
  • Renowned for 1 st SIGMOD publication in the department in 2000 series
  • Finished BSc., MSc., PhD. in six years
  • Utilizes mixture models for invention experimentation
  • Binomial distribution
  • Zipf distribution
  • Taylor series
  • Wavelets etc… all cooked up in the theses via XML (indexing; interpretation; storing; etc.)
  • Microsoft certified in Computational Theory
  • Complete exam grade 100%
  • 16 Interviews in Microsoft
  • Complete competition per interview grade 100%
  • Extreme Interest in Computing Science
  • Research & Development
  • PANDA
  • Approximation
  • ClinicWiz
  • Medical Transactions
  • Gevalya

 

 

Registration Sheet

A Workshop on " ARTIFICIAL INTELLIGENCE MASTERCLASS & bus. Applications : an ABC for Entrepreneurs" SMALL VILLE HOTEL November 14th – 2018

Learn more about Entrepreneurs Ventures Network HOLDING SAL involvement in the Global Entrepreneurship Week – http://www.GEW/entrepreneurslb.network

 

 

Delegate Details

Family Name:                                                         First name:

 

Email:                                                                        Telephone Number:

 

 

Institution:                                                              Position:

 

LinkedIn:

Pricing policy

Each course delegate registration :                                        USd 500

Each Two Delegates or more ( same institution) :          gets 10 percent discount

 

Policy and disclaimer

1>GENERAL

1.1 The trainingg is organised and managed by Entrepreneurs Ventures Holding, The company   has the right and duty to engage professional instructors to fulfill the course requirement as announced

1.2 All applications to register for the training, and all orders to purchase the relevant documentation pack, are made subject to these Terms & Conditions

1.3 You acknowledge and accept that we have the right to publicly announce our business relationship with you which shall include but not be limited to announcements on social media. Such announcements shall not be disparaging or otherwise adverse to your business.

1.4 Unless stated otherwise trainings are given by groups of  persons – Light breakfast – snacks and Business lunch style and refreshments are served all day

1.5 Entrepreneurs Ventures Holding hs the right to modify part of announced curriculum to fit advancement in course offering and professional standings

1.6 Entrepreneurs Ventures Holding can replce announced instructor in case of force mjeure

1.7 There re no refunds for courses however institution can choose from Entrepreneurs Ventures Holding course offering to replace a course as their delegates has missed its deadline

2. BOOKINGS

2.1 All applications to register for the training  are subject to availability and you making full payment.

2.2 Confirmation (or rejection) of your booking will be sent to you by emailt within one (1)  working days of our receipt of your booking request.

2.3 Delegate passes issued for use at the training  are valid for named attendee only below, cannot be transferred without p[rior consent of Entrepreneurs Ventures Holding

3. PRICES AND PAYMENT

3.1 Our prices for attending the training , and for purchasing the documentation pack for the training , are set out on the relevant registration booking form or the relevant purchase order form Prices may be subject to change from time to time. Early bird registration are usually discounted provided delegates

3.2 If your booking has been confirmed an invoice will be sent to you within three  (3) working days setting out the relevant payment instructions and terms. Payment is due immediately on receipt of this invoice.

3. CHANGES TO THE TRAINING 

3.1 It may be necessary for reasons beyond our reasonable control to alter the advertised content, timing and/or location of the training  or the advertised speakers. We reserve the right to do this at any time.

3.2 If you are unable to attend the training  we welcome substitute delegates attending in your place at no extra cost provided that we have at least 2 days prior notice of the name of your proposed substitute and have received payment in full.

3.3 No refunds will be given in respect of non-attendance.

3.4 We shall not be liable to you for travel, accommodation or other costs and expenses incurred (included wasted costs and expenses) if we are required to cancel or relocate the training  as a result of an event outside our control (including, without limitation, to acts of God, floods, lightning, storm, fire, explosion, war, military operations, acts of terrorism or threats of any such acts, any strike action, lock-outs or other industrial action and a pandemic, epidemic or other widespread illness).

3.5 Cancellation fee will be applicable in Cancellation request. Cancellation request received 30 days before the event date will be liable to receive 20% of the delegate fee. Cancellation request received less than 30 days before the even date will be liable to pay 100% delegate fee and or will not be liable to any kind of refund.  All substitutions and cancellations must be sent in writing to marketing@entrepreneurs.academy and a confirmation received by return from customer service in writing, otherwise liability for the full fee remains.

4. CONTENT

4.1 All rights in all presentations, documentation and materials published or otherwise made available as part of the training  (including but not limited to any documentation packs or audio or audio-visual recording of the training ) (“Content”) are owned by us or are included with the permission of the owner of the rights. No (i) photography, filming or recording; or (ii) republication, broadcast or other dissemination of the Content is permitted. You shall not distribute, reproduce, modify, store, transfer or in any other way use any of the Content (save that use by the relevant delegate for internal business purposes shall be permitted), and in particular (but without limitation) you shall not (and shall procure that each of your delegates shall not):

4.1.1 upload any Content into any shared system;

4.1.2 include any Content in a database;

4.1.3 include any Content in a website or on any intranet;

4.1.4 transmit, re-circulate or otherwise make available any Content to anyone else;

4.1.5 make any commercial use of the Content whatsoever; or

4.1.6 use Content in any way that might infringe third party rights or that may bring us or any of our affiliates into disrepute.

4.2 The Content does not necessarily reflect our views or opinions.

4.3 Suggestions or advice contained in the Content should not be relied upon in place of professional or other advice. Whilst we take reasonable care to ensure that the Content created by us is accurate and complete, some of it is supplied by third parties and we are unable to check its accuracy or completeness. You should verify the accuracy of any information (whether supplied by us or third parties) before relying on it. The Content is provided on an “AS IS” basis without any warranties of any kind (express or implied). We hereby exclude to the fullest extent permitted by law all liabilities, costs, claims, damages, losses and/or expenses arising from any inaccuracy or omission in the Content or arising from any infringing, defamatory or otherwise unlawful material in the Content.

4.4 To the extent that any Content is made available by us online we reserve the right to suspend or remove access to such Content at any time.

 

5. LIABILITY

5.1 Subject to Clause 5.4, our aggregate liability to you, whether such liability arises in contract, tort (including negligence) or otherwise, for any damages, loss, costs, claims or expenses of any kind howsoever arising, out of in connection with any booking (or requested booking) made by you or otherwise in relation to a training , shall be limited to the price paid by you in respect of your booking to attend the training .

5.2 Subject to Clause 6.4, we shall not be liable to you for (i) any loss of profit, loss of or damage to data, loss of anticipated savings or interest, loss of or damage to reputation or goodwill or; (ii) any indirect, special or consequential damages, loss, costs, claims or expenses of any kind.

5.3 You agree to indemnify us, our staff and our affiliates and to hold us harmless to the fullest extent permitted by law, against all loss, costs, claims or expenses of any kind arising from any act or omission by you (including your delegates) during or otherwise in relation to a training .

5.4 Nothing in this these Terms and Conditions shall limit or exclude either party’s liability for:

5.4.1 death or personal injury caused by that party’s negligence, or the negligence of that party’s employees, agents or subcontractors;

5.4.2 fraud or fraudulent misrepresentation; or

5.4.3 any other liability which cannot be limited or excluded by applicable law.

6. GENERAL

6.1 These Terms and Conditions (together with any documents referred to herein or required to be entered into pursuant to these Terms and Conditions) contain the entire agreement and understanding between us and supersede all prior agreements, understandings or arrangements (both oral and written) relating to the subject matter of these Terms and Conditions and any such document.

6.2 You acknowledge that in registering a delegate place you have not relied on, and shall have no remedy in respect of, any statement, representation, warranty, understanding, promise or assurance (whether negligently or innocently made) of any person other than as expressly set out in these Terms and Conditions.

6.3 These Terms and Conditions shall not create, nor shall they be construed as creating, any partnership or agency relationship between us.

6.4 You accept that communication with us may be electronic. We may contact you by e-mail or provide you with information by posting notices on our website. You agree to this electronic means of communication and you acknowledge that all such communications that we provide to you electronically comply with any legal or contractual requirement that such communication be made in writing.

6.5 Save as set out you are not permitted to re-sell, transfer, assign or otherwise dispose of any of your rights or obligations arising under these Terms and Conditions.

  • Small Ville Hotel November 14th 

Website of event : http:www.imagine2019.site

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