Future of Marketing

with Philip Kotler & Nirmalya Kumar

November 18, 2014 - Mumbai

Philip

Kotler

Nirmalya

Kumar

Who will be there

ORGANIZATIONS looking to stay ahead of the curve and expose their people to the latest thinking on Marketing & innovation

BUSINESS LEADERS & MARKETERS in search of new ideas and fresh sources of creativity

INQUISITIVE MINDS, fascinated by Marketing and its key role in driving growth

Program Curriculum

The program faculty will each give their unique perspectives on the following key areas:

I. Rethinking Marketing in a Time of Overwhelming Change

Meeting the global challenges
Building your marketing organisation
Moving from traditional to digital marketing
Moving to Marketing 3.0 and Corporate Social Responsibility

II. Rewriting the Rules of Advertising and Branding

How marketers and advertisers can truly capture attention, loyalty and dollars: the revolution of neuromarketing
How to enable brands to stand out in today’s over communicated world: some new brand-building tools
What the next generation of product placement and sponsorship will look like
How to develop a highly cost efficient advertising strategy and foster lifelong brand relationships
The do's and don'ts of building future proof brands

III. Brand Breakout : How Emerging Market Brands will go Global

Moving from “global brands” to different types of global brands
Consumer culture and global brands
Tension between local and global brands
Brands from emerging markets – routes to global success
Measuring global brand value

IV. Social Marketing

Transforming thought habits
Co-creation market strategy
From the exclusive to the inclusive

Agenda

9:00 - 10:30	Dr. Philip Kotler
10:30 - 11:00	Coffee Break
11:00 - 12:30	Dr. Philip Kotler
12:30 - 1:30	Lunch
1:30 - 3:00	Dr. Nirmalya Kumar
3:00 - 4:00	Dr. Sreerama Murthy Guest Speaker on Big Data Marketing
4:00 - 5:30	Nirmalya Kumar & Dr. Philip Kotler

Speakers

Philip

Kotler

Dr. Philip Kotler is the S.C. Johnson & Son Distinguished Professor of International Marketing at the Northwestern University Kellogg Graduate School of Management in Chicago.

He is hailed by Management Center Europe as "the world's foremost expert on the strategic practice of marketing."

Dr. Kotler is known to many as the author of what is widely recognized as the most authoritative textbook on marketing: Marketing Management, now in its 13^th edition. He has also authored or co-authored dozens of leading books on marketing.

Nirmalya

Kumar

Dr. Nirmalya Kumar is a member of the Group Executive Council of Tata Sons and is responsible for strategy at the group level.

Dr. Kumar was professor of marketing and director of Aditya Birla India Centre at the London Business School. He has previously taught at Harvard Business School, IMD (Switzerland) and Northwestern University (Kellogg School of Management).

Dr. Kumar has worked with more than 50 Fortune 500 companies in 60 different countries. He has served on several boards of directors, including ACC, Bata India, and UltraTech Cement.

As an author, Dr. Kumar has written six books, the latest being Brand Breakout: How Emerging Market Brands Will Go Global. He has published several articles in Harvard Business Review and other leading academic journals.

Guest Speaker

Sreerama

Murthy

Dr. Sreerama KV Murthy received a PhD in Data Mining and Machine Learning in 1995 from Johns Hopkins University, which could make him one of the earliest PhD-holders in Data Mining in India. Prior to that, Dr. Murthy completed a Master's thesis in Next Generation Expert Systems from IIT-Madras Computer Science.

Automatically building mega-catalogs from Hubble Space Telescope images was Dr. Murthy’s PhD thesis. The software he designed is used till date in scores of countries. His paper on the topic continues to be a top-cited paper in the area of Decision Trees and Machine Learning. More >>

Registration

Registration Fee

Early Bird Price:
(till 15th August 2014) INR 30,000 ^* each

From 16th August 2014:

1 - 4 Delegates Please call
+91 22 2884 5186

5 or more Delegates Please call
+91 22 2884 5186

^* 12.36% Service Tax applicable on the invoice value.

Payment Mode

Online Register Online

By Phone +91 22 2884 5186

By Fax +91 22 2884 5612

By Mail Knowledge Capital Services Pvt. Ltd
A-24, Kalpataru Towers
Station Road, Off Akurli Road,
Kandivali (East)
Mumbai - 400 101

Date & Venue

Mumbai - November 18, 2014

Venue: Hotel Sahara Star
Sahara Hospitality Ltd.
Opposite Domestic Airport,
Vile Parle-East, Mumbai-400099.
T:+91-22-39895000/26156660

Contact Us

Knowledge Capital Services Pvt Ltd.

A - 24, Kalpataru Towers Station Road,
Off Akurli Road, Kandivali East, Mumbai
Email: kavitam@kcapital-us.com
Ph: +91 22 2884 5186

In the past 24 years, Dr. Murthy worked for world-class research labs such as Siemens Corporate Research - Princeton, IBM Research - Delhi and National Center for Software Technology (now CDAC, Mumbai). He also has been instrumental in setting up three startup companies that drove innovation in data mining in vocational skilling, healthcare and supply chain management.

Dr. Murthy currently is the CEO of Quadratyx, a company that offers corporate training, proprietary e-learning and consulting services in Big Data, Machine Learning, Text & Image Mining and Predictive Analytics. Quadratyx helps dozens of customers in India and abroad, and also performs high-end research in Big Data Analytics.

Dr. Murthy has 8 issued US patents, over a dozen patent-pending innovations, and scores of international publications, all in the area Data Science. His team has done seminal work in Learning Analytics. Dr. Murthy has been a Principal Advisor & Mentor for the International School of Engineering, whose Big Data certification program has been recently listed as 3rd in the world by CIO.com, alongside the programs of Columbia and Stanford University.

Representative Projects that Dr. Murthy & his teams successfully completed:

Fertilizer Demand Forecasting
Impact prediction for multiple factors on product pricing
Clinical trial protocol document mining
Unstructured survey text mining for decision support
Automatic filling of complex forms (e.g., customs, insurance) using data mining
Piracy protection of digital content
Continuous monitoring and assessment systems
Data mining for personalizing e-learning on a mass scale
Interactive virtual classrooms using IP-TV; Multi-dimensional biometric security systems
Intelligent auto-auctioning agents for e-commerce
Image mining for personalized recommendations for retail buyers
Sales prediction for retail durables; User profiling for targeted marketing
Online fraud detection & risk evaluation of credit card transactions
Audio mining for preventive diagnosis of car engine problems
Non-destructive evaluation of power-plant welds using data mining
Computer-aided diagnosis of mammography images
Automatic collimation for X-ray fluoroscopy using machine learning
Design and development of the MATRA machine translation system