-
Industries
- Banking & Financial Services
- Communications
- Consumer Goods
- Education
- Energy & Utilities
- Healthcare
- Information Services
- Insurance
- Life Sciences
- Manufacturing
- Media & Entertainment
- Retail
- Technology
- Transportation & Logistics
- Travel & Hospitality
-
-
COGNIZANT CONSULTING
Helping organizations engage people and uncover insight from data to shape the products, services and experiences they offer
Learn More
-
Services
-
Working to reshape business models, modernize products and enhance customer experiences to drive growth.
Learn More -
Reinventing and managing your most essential business processes with new ways of working.
Learn More -
Simplifying, modernizing and securing the IT infrastructure and applications that are the backbone of your business.
Learn More -
COGNIZANT CONSULTING
Helping organizations engage people and uncover insight from data to shape the products, services and experiences they offer
Learn More
-
-
Latest Thinking
-
Our Media & Publications
- All Latest Thinking
- Perspectives
- Cognizanti Journal
- Digitally Cognizant Blog
- Cognizant Podcasts
- Browse Case Studies
- Infographics
-
Key Themes
- Blockchain Solutions
- Blockchain Primary Research
- AI Primary Research
- When Machines Do Everything
- World Economic Forum 2019—Davos
- Code Halos
-
Center for the Future of Work
- Explore the Future of Work
- Digital Workforce of the Future
- The Work Ahead
- Business Value of Trust
- 21 Jobs of the Future
- Jobs of the Future Index
-
-
GETTING AHEAD WITH AI:
TODAY'S TOP BUSINESS IMPERATIVE
The new machine unleashes new business advantage with AI, algorithms, bots and big data.
DISCOVER AI BUSINESS APPLICATIONS
How to Get AHEAD in a World of AI, Algorithms, Bots, and Big Data
The rise of AI is the great story of our time. Those who succeed in the next phase of the digital economy are not those who can create the new machines, but those who figure out what to do with them. What To Do When Machines Do Everything is your field guide to winning with AI.
Authors Malcolm Frank, Paul Roehrig and Ben Pring of Cognizant argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution.
A clear-cut business model is presented to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives—Automate, Halos, Enhance, Abundance, and Discovery—that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation.
DOWNLOAD THE BOOK'S FIRST TWO CHAPTERSAmazon» Apple» Barnes & Noble» Booksamillion epub» Google» Kindle» Wiley» 800ceoread» Audible»
Amazon has named What To Do When Machines Do Everything as one of
the Best Business & Leadership Books of 2017.
AWARDS & RECOGNITIONS
ACCESS KEY INSIGHTS
about the book and the impact of Artificial Intelligence
EXPLORE THE FUTURE OF WORK
by visiting the Cognizant Center for the Future of Work
EXPERIENCE THE WEBINAR
for a thought-provoking discussion with the authors of
What to do When Machines Do Everything,
moderated by Gary Beach
LIBRARY
THE WORK AHEAD—MASTER THE DIGITAL ECONOMY
Businesses—and individuals—must now adapt to an era of AI, bots and algorithms. Arm yourself with new data and insights for your Work Ahead.
DATA NAVIGATOR TOOL THE WORK AHEADDIGITALLY COGNIZANT
“What to Do When Machines Do Everything could not be more timely. The authors lay out clear, useful, realistic frameworks for how companies, governments, and individuals can engage with, and prosper from, the new systems of intelligence. In a time of disruptive innovation, this is precisely what we all need.”
— Geoffrey Moore, Author, Crossing the Chasm and Zone to Win
“What to Do When Machines Do Everything accurately addresses the elephant in the room: Artificial intelligence makes certain jobs obsolete. But the authors take an optimistic and pragmatic overview of where AI stands today, how it will impact both individuals and organizations, and more importantly, where we go from here. It uses relatable, real-life examples that show how to leverage new technologies to stay competitive, both traditionally and with new entrants. It’s a must-read for those just entering this new world of robots and machine intelligence.”
— Flavio Villanustre, VP of Infrastructure & Security at HPCC Systems, LexisNexis
“Instead of being threatened by this new world I found their practical and helpful advice quite optimistic.”
— Nick Bamford, FT Advisor
“A timely analysis of the strategic implications of the rapid advancements in AI and machine learning (ML) on businesses of all sizes. The book is well-researched with terrific case study examples of companies that are confronting the realities of today's rapidly changing AI/ML environment, and the consequences facing those that aren't. The book also provides useful advice for executives to respond to the AI/ML opportunities and challenges.”
— Jeffrey M. Kaplan, Founder and Managing Director, THINKStrategies
“It is excellent and I am aligned with their main theme - in order for AI/technology to move from end of the world risk to untapped opportunity - organizations and individuals must take bold action NOW.”
— Jeffrey Thompson, President & CEO, IMA
“…refreshingly thought-provoking.”
— John Thornhill, The Financial Times
“I really enjoyed the way you are able to tell the positive side of this story.”
— Adam Sherman, World Economic Forum
“What to Do When Machines Do Everything helps leaders think beyond their own organizational boundaries and embrace the future of artificial intelligence. The book’s practical advice not only explains how to apply machine-driven solutions at all levels of an organization, it also reveals the skills your employees need to ensure your business stays competitive in this coming age.”
— Theo Priestley, Global Evangelist, SAP
“While much of the prior AI literature can ascribed to ‘the sky is falling’ category, What to Do When Machines Do Everything dynamically breaks that mold by offering balanced, insightful and pragmatic advice on how to do AI right.”
— Gary Beach, Publisher Emeritus, CIO Magazine
AUTHORS
MALCOLM FRANK
EVP, Strategy & Marketing
Malcolm Frank is Cognizant’s Executive Vice President, Chief Strategy Officer and Chief Marketing Officer. In this role, he is responsible for defining and overseeing all aspects of the company’s corporate strategy and go-to-market positioning. His deep understanding of the digital economy—at scale across silos, organizations and marketplaces—and ability to see around technology’s tight corners are key factors in Cognizant’s consistent industry-leading growth and ability to address clients’ ever-changing business needs.
Malcolm’s influence is wide ranging and evident across media. He has co-authored two best-selling books, What To Do When Machines Do Everything (2017) and Code Halos (2014), both of which received multiple international book awards. He has also authored numerous white papers focusing on the “Future of Work” and created the “SMAC Stack” term, which became an industry standard. A highly sought after speaker, Malcolm has presented at various conclaves such as the World Economic Forum and SXSW. He is frequently quoted, is the subject of a Harvard Business School case study and was named “One of the most influential people in finance” by Risk Management Magazine.
Beyond his practical vision on AI and experience as a founder and CEO of three business ventures, Malcolm works closely with Cognizant clients to gain business advantage from large-scale digital transformation programs. He serves on the Board of Directors of FactSet Research Systems, Inc. (NYSE: FDS). Malcolm holds a Bachelor’s in Economics from Yale University.
VP, Strategy & Marketing, Cognizant Digital Business
Founder, Center for the Future of Work
PAUL ROEHRIG
VP, Strategy & Marketing, Cognizant Digital Business
Founder, Center for the Future of Work
Paul Roehrig is the Vice President of Strategy and Marketing for Cognizant Digital Business and a founder of the Center for the Future of Work. He is responsible for developing direction, service offerings, go-to-market programs, alliances and business development for key strategic accounts. Paul is an acclaimed industry thought leader, analyst and practitioner in business technology services globally. In addition to authoring dozens of articles on sourcing topics, he has advised on and participated in transactions worth billions in total contract value.
Paul is also a frequent presenter at industry events and he's regularly quoted in mainstream and industry publications such as Business Week, The Economic Times (India), CIO Strategy Center, Global Services, Computerworld and many others. Prior to joining Cognizant, Paul was a principal analyst at Forrester Research where he conducted research and advised senior IT leadership from Fortune 500 firms and government agencies on a broad range of outsourcing topics including sourcing strategy, trends and best practices.
In 2008, Paul was named one of the top services analysts globally by the Institute of Industry Analyst Relations. Paul also held key positions in planning, negotiation and successful global program implementation for customers from a variety of industries, including financial services, technology, federal government and telecommunications for Hewlett-Packard and Compaq Computer Corporation. He has robust experience leading enterprise improvement programs including organizational development, process engineering, communications and instructional development.
He holds an undergraduate degree in journalism from the University of Florida and graduate degrees from Syracuse University. His doctoral research was on decision-making related to quality improvement in organizations.
BEN PRING
VP, Director, Center for the Future of Work
Ben Pring leads Cognizant's Future of Work Center and came to Cognizant in September 2011 after spending the previous 15 years with Gartner as a senior industry analyst researching and advising on areas such as Cloud Computing and Global Sourcing. Prior to Gartner, Ben worked for a number of consulting companies including Coopers and Lybrand.
At Gartner, Ben was one of the lead analysts on all things Cloud; he wrote the industry's first research notes on Cloud Computing (in 1997), on Salesforce.com (in 2001) and became well known in the IT industry for providing predictions of the nature and velocity of the change that would impact everyone as the paradigm shifted again and Cloud Computing become the foundation for the next wave of competition in global IT. Ben was also heavily involved in tracking and analyzing the emergence of IT talent from outside western markets and the impact that globalization would have on business and IT strategies for organizations of all types.
Ben's expertise in helping clients see around corners, think the unthinkable and calculate the compound annual growth rate of unintended consequences has brought him to Cognizant where his charter is to research and analyze how clients can leverage the incredibly powerful new opportunities that are being created as new technologies make computing power more pervasive, more affordable and more important than ever before.
Now based near Boston, MA, Ben graduated with a degree in Philosophy from Manchester University in the UK where he grew up.