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75 Results | Prev | 1 | Page 2 | 3 | .. | 7 | 8 | Last | Next
 

Machine Learning for Big Data and Text Processing: Foundations

October 4-5, 2018

Machine learning methods drive much of modern data analysis across engineering, sciences, and commercial applications. For example, search engines, recommender systems, advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk. Much of today's data is available in primarily textual form, requiring effective tools for using unstructured and semi-structured text. This course examines a suite of key machine learning tools and their applications, including predictive analysis. We will discuss key insights underlying the tools, what kinds of problems they can/cannot solve, how they can be applied effectively, and what issues are likely to arise in practical applications.

The course is designed to operate simultaneously on two levels, intuitive and more formal, describing key concepts, formulations, algorithms, and practical examples for professionals whose work interfaces data analysis in different ways and on different levels.

  • At the managerial level, the course provides the vision and understanding of the many opportunities, costs, and likely performance hurdles in predictive modeling, especially as they pertain to large amounts of textual (or similar) data.
  • For professionals whose work involves data hands-on, the course aims to provide a deeper understanding and sharper intuitions about what is possible, what is not, and which methods to consider in what contexts.
  • For everyone, the course provides the ability to see problems as machine learning problems and be able to discuss ways to approach them.

Learning Objectives

  1. Understand broad opportunities for automation with machine learning
  2. Be able to formulate/set up problems as machine learning tasks
  3. Outline key aspects of practical problems that are likely to impact performance
  4. Assess which types of methods are likely to be useful for a given class of problems
  5. Understand strengths and weakness of "on-line" learning algorithms
  6. Be able to discuss scaling issues (amount of data, dimensionality, storage, and computation)
  7. See through the process of applying machine learning methods in practice, foresee likely hurdles and possible remedies
  8. Understand modern natural language processing tools, formulations, and problems
  9. Grasp what predictive analytics often does not provide
  10. Understand current machine learning trends and opportunities that they bring

One of a Series: MIT Holidays

MIT Closed - Columbus Day

October 8, 2018

Cambridge, MA

Developing and Managing a Successful Technology Strategy

October 9-10, 2018

A great idea does not guarantee great profits. If a company's R&D dollars are going to pay off in profitable products and technologies, it needs a strategy that not only makes markets, but also beats the competition. This program presents a depth of challenges that extend from R&D to manufacturing, engineering, project management, product strategy, and new ventures. It provides an innovative and powerful approach to developing and managing technology and products that people want to buy. The program material will also explore ways to link those technologies and products with a company's business strategy. 


Please note: This program was previously named Developing and Managing a Successful Technology and Product Strategy.

Drawn from MIT Sloan School's top-ranked MBA curriculum, this groundbreaking program will provide a framework for understanding how technologies and markets evolve; how they are linked; how technologies differ across markets; and how new technologies get accepted. This program will enable participants to:


  • Identify profitable projects for their research dollars and find out how to capture the value of those projects
  • Build technical capabilities for products that create value for their customers
  • Restructure their organizations to respond to market and technical dynamics
  • Implement their strategies for maximum benefit

Cambridge, MA

Understanding and Solving Complex Business Problems

October 9-10, 2018

This program will introduce participants to "systems thinking"? as a response to the rapid changes in technology, population, and economic activity that are transforming the world, and as a way to deal with the ever-increasing complexity of today's business. Systems thinking was devised to improve people's ability to manage organizations comprehensively in a volatile global environment. It offers managers a framework for understanding complex situations and the dynamics those situations produce. Senior managers can use the system dynamics method to design policies that lead their organizations to high performance. The program is intended to give participants the tools and confidence to manage organizations with full understanding and solid strategy.


Participants will experience the Beer Game, a table game, developed by Jay Forrester. Played with pen, paper, printed plastic tablecloths, and poker chips, it simulates the supply chain of the beer industry. In so doing, it illuminates aspects of system dynamics, a signature mode of MIT thought: it illustrates the nonlinear complexities of supply chains and the way individuals are circumscribed by the systems in which they act.

The program will offer a new way of thinking about and resolving complex, persistent problems that emerge from change. Applying organization theory along with intuitive principles of feedback control, participants will learn to:

  • Assess the likely impact of different policies and decisions that relate to their organization's growth, stability, and performance
  • Recognize business system archetypes that can trigger persistent, long-term problems
  • Use state-of-the-art management tools to identify relationships
  • Intervene effectively to make fundamental changes

Liderazgo en la Innovación (Spanish Language course)

October 9 - December 4, 2018

Do Your Leaders Nurture Innovation? In The Intersection of Leadership & Innovation, MIT?s Dr. David Niño helps participants harness the kinetic energy of leadership, empowering them to lead with self-awareness and creativity?the essential building blocks for innovative teams, cultures and organizations.

Cambridge, MA

Digital Marketing and Social Media Analytics

October 11-12, 2018

New digital technologies have fundamentally reshaped marketing theory and practice the last decade alone. Technology has changed the modes of communication through which firms engage with consumers. Moore's law has made the storage and analysis of consumer data scalable, creating opportunities for fine-grained behavioral analytics. New monitoring tools have fostered precise and personalized customer relationship management practices. The rise of mobile phones and tablets has enabled location based messaging and reciprocal communication. The ubiquity of video content has promulgated rich, native advertising programs. The global emergence of social networking has enabled networked based predictive modeling and new forms of targeting and referral strategies based on the preferences of consumers' peers. And finally, new social media have brought all of this onto the public stage, with word-of-mouth conversations driving brand awareness and brand loyalty, and user-generated content on review and ratings sites making or breaking demand for products or services.

This two-day course provides a detailed, applied perspective on the theory and practice of digital marketing and social media analytics in the 21st century. We will cover concepts such as the difference between earned and paid media, predictive modeling for ad targeting and customer relationship management, measuring and managing product virality, viral product design, native advertising, and engaging the multichannel experience. Throughout the course we will specifically stress the theory and practice of randomized experimentation, AB testing and the importance of causal inference for marketing strategy.

Topics covered in this course include:

  • Search marketing
  • Social network marketing
  • Social media analytics
  • User generated content management and marketing
  • Mobile advertising and commerce
  • CRM strategy in the age of big data and digital advertising
  • Earned vs paid media
  • Predictive modeling for ad targeting
  • Viral product design
  • The multichannel experience
  • Randomized experimentation
  • A/B testing

Upon completion of this course you should have a fundamental understanding of:

  • The digital advertising ecosystem and attribution and pricing models for digital advertising
  • The fundamentals of web and app analytics and KPIs for web traffic and commerce
  • Search engine marketing, search engine advertising, ad auctions, and strategies for optimizing search engine advertising
  • Social network marketing and social network targeting
  • Predictive analytics using social network data, peer-to-peer marketing and personalized social advertising
  • Targeting and segmentation, specifically demographic targeting and segmentation, behavioral targeting and segmentation, social targeting and segmentation
  • Social listening?analysis of user generated content, reviews, ratings and their effects on consumer demand
  • Mobile commerce and analytics

MIT Campus, Cambridge, Massachusetts

Negotiation for Executives

October 11-12, 2018


Negotiation is a daily practice within business organizations. We negotiate all the time--with clients and partners, vendors and suppliers, supervisors and colleagues, employees and recruits. Successful negotiation requires self-awareness, preparation, and practice. This program addresses all three requirements by providing extensive personalized feedback, tips for efficient pre-negotiation planning, and plenty of opportunities to practice and hone your negotiation skills. Drawing on fundamental negotiation principles based on scientific research as well as specific real-world examples, this program aims to enhance personal gains in negotiation, while simultaneously sustaining important relationships.

The MIT Edge

True to the deeply analytical and quantitative MIT style, the material in this program is based on extensive scientific research by Professor Curhan and his colleagues. Professor Curhan is renowned not only for his engaging interactive teaching style, but also for his pioneering research on the social and psychological components of negotiation. His research includes topics such as: conceptions of fairness, concern for personal integrity, lasting reputations, company loyalty, preference change during the course of a negotiation, norms for appropriate negotiating behavior, and relational dynamics among negotiators who interact multiple times

In this program, participants will learn how to:

* Leverage their own specific personality traits and abilities to boost negotiation outcomes
* Enhance bargaining power to claim a larger share of the pie
* Recognize and resolve different types of issues to create and claim value
* Develop strategies for efficient pre-negotiation preparation
* Build and maintain working relationships without forfeiting economic outcomes
* Deal with difficult tactics

Powerful negotiators are valued at all levels of an organization. If your responsibilities include interacting in some shape or form with others, then this program is for you. Typical participants' areas of expertise tend to include:

* sales and marketing
* planning and development
* operations management
* strategic partnerships
* supply-chain agreements
* recruitment and human resources

Course material is presented in a series of lectures, discussions, and engaging exercises that provide extensive personalized feedback and are designed to teach participants how to leverage their individual traits to achieve success and build lasting relationships at the bargaining table. Prior to the first day of sessions, participants are strongly encouraged to complete a detailed written questionnaire that will better customize the experience for each individual negotiator.

Faculty
Jared Curhan
Ford International Career Development Professor
Associate Professor of Organizations Studies

Professor Curhan specializes in the psychology of negotiation and conflict resolution. A recipient of support from the National Science Foundation, Curhan has pioneered a social psychological approach to the study of "subjective value" in negotiation (i.e., feelings and judgments concerning the instrumental outcome, the process, the self, and the relationship). His current research uses the Subjective Value Inventory (SVI; Curhan et al., 2006) to examine precursors, processes, and long-term consequences of subjective value in negotiation.

Deeply committed to education at all levels, Curhan received MIT's institute-wide teaching award presented annually by the graduate student council. Curhan is founder and president of the Program for Young Negotiators, Inc., an organization dedicated to the promotion of negotiation training in primary and secondary schools. His book, Young Negotiators (Houghton Mifflin, 1998), is acclaimed in the fields of negotiation and education and has been translated into Spanish, Hebrew and Arabic. The book has been used to train more than 35,000 children across the United States and abroad to achieve their goals without the use of violence.

Cambridge, MA

Communication and Persuasion in the Digital Age

October 16-17, 2018

Advancements in technology and the rapid proliferation of digital media, data analytics, and online collaboration require executives to lead their organizations with sophisticated communication skills, adapted for these new ways of working. To be a successful leader today, you must be able to effectively persuade and influence at all levels, in person and virtually, and with supporting data.


Edward Schiappa and Ben Shields draw on cutting-edge communication research, theories of persuasion, studies on parasocial interaction, and empirical studies on compelling storytelling to help participants solve problems, make quality decisions, and motivate people. Session topics include speaking persuasively, visual persuasion, communicating quantitative information clearly, and adapting messages to audiences.

The program will help you leverage new communication skills and harness the power of persuasion to:


  • Influence attitudes and change behaviors in your organization
  • Understand how new technology shapes the way we work and communicate
  • Bring your message and your medium into alignment
  • Support your message with data analytics
  • Manage virtual communications with power and presence
  • Apply the latest research to become a confident and inspiring public speaker
  • Create a compelling story to galvanize and motivate people
  • Adapt and deliver your message across different media channels and to diverse audiences
  • Advance the level of discourse within your organization

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