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12 Ways AI Will Disrupt Your C-Suite

McKinsey & Company estimates that as much as 45% of the tasks currently performed by people can be automated using existing technologies. If you haven’t made an effort to understand how artificial intelligence will affect your company, now is the time to start.

(Image: geralt via Pixabay)

(Image: geralt via Pixabay)

Artificial Intelligence (AI) is gaining momentum across industries with the help of companies such as IBM, Google, and Microsoft. McKinsey & Company estimates that as much as 45% of the tasks currently performed by people can be automated using current technologies — not only low-level rote tasks, but high-level knowledge work as well.

„Our point of view is that there is no function, no industry, almost no role that won’t potentially be affected by this set of technologies — not just every occupation, but every activity within each occupation,“ said Michael Chui, a partner with McKinsey Global Institute, in an interview. „It’s not just automating the labor that’s being done, but the work people do will have to change as well. Understanding how to take advantage of these technologies is going to be critically important.“

Even if your company isn’t actively experimenting with it, AI is finding its way in via online transactions and modern cyber-security systems, among other examples. As AI technologies and their use-cases start to take hold across industries, it’s time for the C-suite to pay attention.

If you haven’t made an effort to understand how AI will affect your company, now is the time to start.

The attitude of C-[suite] executives should be to add AI as a top strategic priority,“ said George Zarkadakis, digital lead at global professional services firm Willis Towers Watson and author of In Our Own Image: Savior or Destroyer? The History and Future of Artificial Intelligence, in an interview. „This time, technology will move faster than ever, and the laggards will pay a hefty price.“

Of course, the impact of AI is not limited to technological change and innovation. It also involves cultural evolution and, in some cases, revolution.

„Today’s leaders have time, as well as a responsibility, to understand what’s ahead of them before acting,“ said Deborah Westphal, CEO of strategic consulting and advisory firm Toffler Associates, in an interview. „It’s important to ask the hard questions, and then, using those insights, determine the best action for an organization.“

In short, AI is going to affect a lot of things in the near future, some of which have not yet been anticipated.

Organizational Intelligence Explodes 

Organizations are using AI to solve problems at scale. Michele Goetz, a principal analyst at Forrester Research, estimates that most organizations only take advantage of 10% to 30% of their data, with most of that still being structured, transactional information. 
'There's a difference in what AI technology is going to bring to the organization compared to what other technologies have brought,' said Goetz, in an interview. '[The C-suite executives] will have better visibility into market opportunities and [become aware of] threats faster. Because they can see their environment more holistically and clearly, they'll understand partners and customers better. It's [also] going to change the way employees work.'     
(Image: geralt via Pixabay)

Organizational Intelligence Explodes

Organizations are using AI to solve problems at scale. Michele Goetz, a principal analyst at Forrester Research, estimates that most organizations only take advantage of 10% to 30% of their data, with most of that still being structured, transactional information.

„There’s a difference in what AI technology is going to bring to the organization compared to what other technologies have brought,“ said Goetz, in an interview. „[The C-suite executives] will have better visibility into market opportunities and [become aware of] threats faster. Because they can see their environment more holistically and clearly, they’ll understand partners and customers better. It’s [also] going to change the way employees work.“

First-Mover Advantage 

The seeds of what some are calling The Exponential Age were planted long ago, manifesting themselves as exponential increases in processing power, storage capacity, bandwidth utilization, and -- as a result of all of that -- digital information. The same rule applies to machine learning.     
'True AI learns at an exponential rate, evolves and sometimes even rewrites better versions of itself,' said Walter O'Brien, founder and CEO of Scorpion Computer Services, in an interview. 'Because of this factor, the first company to market can also be the first to gather the most training data material -- for example, Google's Voice recognition on cell phones. The lessons learned can be encoded as heuristics or subtle guidelines which become the IP of the company -- for example, the definition of Google's relevance scores. This all creates a barrier to competition.'
Imagine cramming 250 years of human thinking into 90 minutes. Scorpion Computer Services' AI platform does that.
(Image: skeeze via Pixabay)

First-Mover Advantage

The seeds of what some are calling The Exponential Age were planted long ago, manifesting themselves as exponential increases in processing power, storage capacity, bandwidth utilization, and — as a result of all of that — digital information. The same rule applies to machine learning.

„True AI learns at an exponential rate, evolves and sometimes even rewrites better versions of itself,“ said Walter O’Brien, founder and CEO of Scorpion Computer Services, in an interview. „Because of this factor, the first company to market can also be the first to gather the most training data material — for example, Google’s Voice recognition on cell phones. The lessons learned can be encoded as heuristics or subtle guidelines which become the IP of the company — for example, the definition of Google’s relevance scores. This all creates a barrier to competition.“

Imagine cramming 250 years of human thinking into 90 minutes. Scorpion Computer Services‘ AI platform does that.

Employees May Lead The Charge 

AI is creeping into organizations in various ways, online and embedded in enterprise applications. The trend is accelerating, necessitating the C-suite's attention, since it will at some point noticeably affect corporate culture and business strategy. 
'The tipping point for the acceptance and widespread application of AI will not come from the C-suite, but from employees seeing the benefits of AI in their daily lives through applications like intelligent personal assistants and smart devices,' said Robert DeMaine, lead technology sector analyst at global advisory service company Ernst & Young (EY), in an interview. 'Like the [bring your own device] trend, employees will begin to use their own 'smart' personal productivity applications in the office, challenging the organization to reassess its policies. AI will change corporate culture from the bottom up, not the top down.' 
(Image: Broadmark via Pixabay)

Employees May Lead The Charge

AI is creeping into organizations in various ways, online and embedded in enterprise applications. The trend is accelerating, necessitating the C-suite’s attention, since it will at some point noticeably affect corporate culture and business strategy.

„The tipping point for the acceptance and widespread application of AI will not come from the C-suite, but from employees seeing the benefits of AI in their daily lives through applications like intelligent personal assistants and smart devices,“ said Robert DeMaine, lead technology sector analyst at global advisory service company Ernst & Young (EY), in an interview. „Like the [bring your own device] trend, employees will begin to use their own ’smart‘ personal productivity applications in the office, challenging the organization to reassess its policies. AI will change corporate culture from the bottom up, not the top down.“

Organizational Structures Will Shift 

Hierarchical organizational structures adversely affect business agility and the ability to drive value from data. Similarly, the lingering barriers between departments and business units limit a company's ability to derive additional types of value from data because data remains trapped in silos. 
'Projectized' organizations, which operate in a matrix environment, are better positioned to take full advantage of AI systems [than] vertical organizations are,' said Armen Kherlopian, VP of analytics and research at business process transformation company Genpact, in an interview. 'This is because these so-called projectized organizations can more readily gain access to resources and key business channels across the enterprise. Additionally, the levers associated with [business] value do not fit neatly into vertical groups.' 
Genpact estimates nearly $400 billion of digital investments were wasted globally in 2015 because of a failure to align expected results throughout organizations. 
(Image: geralt via Pixabay)

Organizational Structures Will Shift

Hierarchical organizational structures adversely affect business agility and the ability to drive value from data. Similarly, the lingering barriers between departments and business units limit a company’s ability to derive additional types of value from data because data remains trapped in silos.

„Projectized“ organizations, which operate in a matrix environment, are better positioned to take full advantage of AI systems [than] vertical organizations are,“ said Armen Kherlopian, VP of analytics and research at business process transformation company Genpact, in an interview. „This is because these so-called projectized organizations can more readily gain access to resources and key business channels across the enterprise. Additionally, the levers associated with [business] value do not fit neatly into vertical groups.“

Genpact estimates nearly $400 billion of digital investments were wasted globally in 2015 because of a failure to align expected results throughout organizations.

AI Requires Context 

AI systems need a lot of input to produce the appropriate output. Since each company, its culture, and its objectives are unique, AI systems need to be trained on those details in order to assist employees effectively, and to serve the needs of the organization accurately. Unlike traditional analytics systems, which can be built without regard to some of the softer organizational issues, AI requires organizations to be aware of the information they're bringing in and why they're bringing it in. 
'There is a clear trend towards machines becoming more intelligent so that humans can work more intelligently with them,' said George Zarkadakis. 'Although machines will increasingly gain more autonomy, they will do so within the human space and within human norms and ethics.' 
(Image: terg via Pixabay)

AI Requires Context

AI systems need a lot of input to produce the appropriate output. Since each company, its culture, and its objectives are unique, AI systems need to be trained on those details in order to assist employees effectively, and to serve the needs of the organization accurately. Unlike traditional analytics systems, which can be built without regard to some of the softer organizational issues, AI requires organizations to be aware of the information they’re bringing in and why they’re bringing it in.

„There is a clear trend towards machines becoming more intelligent so that humans can work more intelligently with them,“ said George Zarkadakis. „Although machines will increasingly gain more autonomy, they will do so within the human space and within human norms and ethics.“

Organizations Have To Adapt 

AI automates some tasks and assists with others, both displacing and complementing the work employees do. The C-suite needs to think about how the shifting division of labor can influence the way a company is managed and how it's organized.  
'AI is impacting many aspects of the business, from workflow management to advertising strategy. It can enable executives to make better, faster, and more accurate business decisions to streamline operations, allocate resources, understand market trends, and connect with customers,' said Robert DeMaine, lead technology sector analyst at EY. 'As a result, executives will need to be prepared to address a number of business issues, including reassessing internal operations, a changing workforce, sales and marketing strategies, and shifting investment priorities.'  
(Image: badalyanrazmik via Pixabay)

Organizations Have To Adapt

AI automates some tasks and assists with others, both displacing and complementing the work employees do. The C-suite needs to think about how the shifting division of labor can influence the way a company is managed and how it’s organized.

„AI is impacting many aspects of the business, from workflow management to advertising strategy. It can enable executives to make better, faster, and more accurate business decisions to streamline operations, allocate resources, understand market trends, and connect with customers,“ said Robert DeMaine, lead technology sector analyst at EY. „As a result, executives will need to be prepared to address a number of business issues, including reassessing internal operations, a changing workforce, sales and marketing strategies, and shifting investment priorities.“

It's Not All About Technology 

AI is gaining momentum as entrepreneurs, industry behemoths, and companies in-between bring AI products, tools, APIs, and services to market. However, as always, the successful application of technology isn't simply about technology. It's about technology, people, and processes.
'A company will be distinguished by how well it works using AI, and increasingly human-digital convergence, rather than by which specific AI technologies it chooses to deploy,' said Deborah Westphal, CEO of strategic consulting and advisory firm Toffler Associates. 'If a company only addresses the technological elements, without addressing the organizational people and process aspects, it may see a short-term gain, but will suffer in the longer term and likely be [sur]passed by those companies that addressed the internal questions first.'  
(Image: avtar via Pixabay)

It’s Not All About Technology

AI is gaining momentum as entrepreneurs, industry behemoths, and companies in-between bring AI products, tools, APIs, and services to market. However, as always, the successful application of technology isn’t simply about technology. It’s about technology, people, and processes.

„A company will be distinguished by how well it works using AI, and increasingly human-digital convergence, rather than by which specific AI technologies it chooses to deploy,“ said Deborah Westphal, CEO of strategic consulting and advisory firm Toffler Associates. „If a company only addresses the technological elements, without addressing the organizational people and process aspects, it may see a short-term gain, but will suffer in the longer term and likely be [sur]passed by those companies that addressed the internal questions first.“

Employee Empowerment Is Necessary 

Companies have worked toward democratizing the use of data analytics, enabling managers and employees to make better decisions faster. As the velocity of business continues to accelerate at scale with the help of AI, even more employee empowerment will be necessary.  
'AI and greater human-digital convergence magnify the strengths and weaknesses of an existing corporate culture, particularly with respect to how much autonomy is afforded to an organization's people,' said Deborah Westphal of Toffler Associates. 'Given a faster rate of change and near real-time environment in which to make decisions, an organization's people who don't have the necessary autonomy will find that its processes, no matter how good, will break down quickly and its ability to serve its customers [will be] compromised.'  
(Image: alan8197 via Pixabay)

Employee Empowerment Is Necessary

Companies have worked toward democratizing the use of data analytics, enabling managers and employees to make better decisions faster. As the velocity of business continues to accelerate at scale with the help of AI, even more employee empowerment will be necessary.

„AI and greater human-digital convergence magnify the strengths and weaknesses of an existing corporate culture, particularly with respect to how much autonomy is afforded to an organization’s people,“ said Deborah Westphal of Toffler Associates. „Given a faster rate of change and near real-time environment in which to make decisions, an organization’s people who don’t have the necessary autonomy will find that its processes, no matter how good, will break down quickly and its ability to serve its customers [will be] compromised.“

Learn By Doing  

Companies successfully using AI make a point of investing in people and talent. They also actively encourage innovation and experimentation so they can learn quickly from mistakes and capitalize on opportunities, hopefully faster than their competitors. 
'Hire talent that knows how to do this. Start experimenting with it and learn how to use it,' said Michael Chui, a partner with McKinsey Global Institute. 'I don't think this is something you plan for five years and then get started. It's something you learn by doing. When you see something working, the ability to scale is important.' 
(Image: janeb13 via Pixabay)

Learn By Doing

Companies successfully using AI make a point of investing in people and talent. They also actively encourage innovation and experimentation so they can learn quickly from mistakes and capitalize on opportunities, hopefully faster than their competitors.

„Hire talent that knows how to do this. Start experimenting with it and learn how to use it,“ said Michael Chui, a partner with McKinsey Global Institute. „I don’t think this is something you plan for five years and then get started. It’s something you learn by doing. When you see something working, the ability to scale is important.“

Expect The Unexpected 

AI should not be viewed as simply another technology acquisition, because different things are required to get it up and running successfully. Because the purpose of AI is to provide a superhuman analytic or problem-solving capacity, its training cannot be limited to executing mindlessly on a task.  
'You can't assume that how you train these systems is going to produce the results in the context you want them to be produced,' said Michele Goetz, a Forrester principal analyst. 'There has to be an emotional element [because] if you're introducing AI in your call center, you don't want to offend your customers.'
Because AI learns from itself, as well as from its human trainers, unexpected circumstances can arise which may be positive or negative.
(Image: geralt via Pixabay)

Expect The Unexpected

AI should not be viewed as simply another technology acquisition, because different things are required to get it up and running successfully. Because the purpose of AI is to provide a superhuman analytic or problem-solving capacity, its training cannot be limited to executing mindlessly on a task.

„You can’t assume that how you train these systems is going to produce the results in the context you want them to be produced,“ said Michele Goetz, a Forrester principal analyst. „There has to be an emotional element [because] if you’re introducing AI in your call center, you don’t want to offend your customers.“

Because AI learns from itself, as well as from its human trainers, unexpected circumstances can arise which may be positive or negative.

Pay Attention To Possibilities 

Data-driven companies, including IBM, Google, Microsoft, Amazon, and Netflix, are constantly pushing the envelope of what's possible in order to accelerate innovation, differentiate themselves, and, in some cases, cultivate communities that can extend the breadth and depth of AI techniques and use-cases. It's wise for C-suite executives to understand the kind of value AI can provide, and how that value might help the company achieve its strategic objectives.  
'Machine learning techniques are what make a company like Amazon truly successful. Being able to learn from historical data in order to recommend to a given shopper what [she] may buy next is a key differentiator. Yet, the real 'Deep Learning' techniques are still just emerging,' said Mike Matchett, senior analyst and consultant at storage analysis and consulting firm Taneja Group, in an interview. 'Google will not just win 'Go' championships, but will drive cars with [AI], optimize their data center with [AI], and in my opinion, will try to own the global optimization clearing house for the Internet of Things.'
(Image: como-esta via Pixabay)

Pay Attention To Possibilities

Data-driven companies, including IBM, Google, Microsoft, Amazon, and Netflix, are constantly pushing the envelope of what’s possible in order to accelerate innovation, differentiate themselves, and, in some cases, cultivate communities that can extend the breadth and depth of AI techniques and use-cases. It’s wise for C-suite executives to understand the kind of value AI can provide, and how that value might help the company achieve its strategic objectives.

„Machine learning techniques are what make a company like Amazon truly successful. Being able to learn from historical data in order to recommend to a given shopper what [she] may buy next is a key differentiator. Yet, the real ‚Deep Learning‘ techniques are still just emerging,“ said Mike Matchett, senior analyst and consultant at storage analysis and consulting firm Taneja Group, in an interview. „Google will not just win ‚Go‘ championships, but will drive cars with [AI], optimize their data center with [AI], and in my opinion, will try to own the global optimization clearing house for the Internet of Things.“

Change Is At Hand 

The composition of the C-suite is changing to take better advantage of data. Data-savvy executives are replacing their traditional counterparts, new roles are being created, and leaders generally are finding themselves under pressure to understand the value and impact of data, analytics, and machine learning.  
'As the C-suite becomes increasingly filled with analytical minds and more data scientists are hired, a cultural shift naturally takes place. Some of the new, fast-growing executive roles [include] chief data scientist, chief marketing technology officer, [and] chief digital officer. All are aligned with the growing demand and anticipation for AI,' said David O'Flanagan, CEO and cofounder of cloud platform provider Boxever.
At many levels, non-traditional candidates are displacing traditional roles. For example, the Society of Actuarial Professionals is actively promoting the fact that although most actuaries work in the insurance industry, there are non-traditional employment opportunities, including data analytics and marketing. O'Flanagan expects more members of the workforce to have backgrounds in fields of study such as econometrics.
(Image: geralt via Pixabay)

Change Is At Hand

The composition of the C-suite is changing to take better advantage of data. Data-savvy executives are replacing their traditional counterparts, new roles are being created, and leaders generally are finding themselves under pressure to understand the value and impact of data, analytics, and machine learning.

„As the C-suite becomes increasingly filled with analytical minds and more data scientists are hired, a cultural shift naturally takes place. Some of the new, fast-growing executive roles [include] chief data scientist, chief marketing technology officer, [and] chief digital officer. All are aligned with the growing demand and anticipation for AI,“ said David O’Flanagan, CEO and cofounder of cloud platform provider Boxever.

At many levels, non-traditional candidates are displacing traditional roles. For example, the Society of Actuarial Professionals is actively promoting the fact that although most actuaries work in the insurance industry, there are non-traditional employment opportunities, including data analytics and marketing. O’Flanagan expects more members of the workforce to have backgrounds in fields of study such as econometrics.

http://www.informationweek.com/big-data/12-ways-ai-will-disrupt-your-c–suite/d/d-id/1325557

Magna may be helping Apple to build the iCAR /iKARR

apple carSamantha Lee/Business Insider
Apple $90.52
AAPL +/-+0.18 %+0.20

Disclaimer

If Apple wants to bring a car to production, it’ll likely need a good bit of help to get it there. Right now, it’s looking like some of that help will likely come from the Canada-based automotive company Magna International.

Though there aren’t yet concrete facts regarding when, how, and even if an Apple car will exist, a ton of rumors have already surfacedincluding one highly-probable tip about how Apple probably won’t be building this supposed car itself.

That’s where Magna would come in.

Magna is a massive company.

Magna is a massive company.

Markus Leodolter/AP Images

Magna first began business in the early 1950’s. By the end of the decade, they were contracted out by General Motors to make small interior parts.

By the early 1960’s, Magna had two fully-operational plants running and its shares were being publicly traded on the Toronto Stock Exchange.

Now, Magna is the original equipment manufacturer of auto parts for a ton of different car brands and it also does full assembly for a handful of cars.

Though it has thrown the idea around of operating its own automotive brand, Magna’s primary involvement in the automotive world is primarily centered around part supplying.

Magna Steyr, Magna’s „contract manufacturing“ arm, currently assembles the Mercedes-Benz G-Class and the Mini Countryman.

Magna Steyr, Magna's "contract manufacturing" arm, currently assembles the Mercedes-Benz G-Class and the Mini Countryman.

Magna

Magna Steyr has plants across Europe and Asia.

Magna Steyr has plants across Europe and Asia.

Magna

Similar to what Foxconn is to Apple currently, Magna would likely produce parts and assemble vehicles for Apple, if an Apple car was to hit production.

Similar to what Foxconn is to Apple currently, Magna would likely produce parts and assemble vehicles for Apple, if an Apple car was to hit production.

Kin Cheung/AP

The rumor is that the Apple car will be built at one of Magna’s Austrian facilities and that there’s currently research being done at a secret facility in Berlin.

The rumor is that the Apple car will be built at one of Magna's Austrian facilities and that there's currently research being done at a secret facility in Berlin.

Markus Leodolter/AP Images

[Source: Clean Technica]

For now, though, it’s still not certain the company is actually working with Apple.

For now, though, it's still not certain the company is actually working with Apple.

Magna

Apple and Magna did not immediately respond  to a request for comment.

Where TOP entrepreneurs Bill Gates and Elon Musk started as interns

Bill GatesYouTube/Gates NotesBill Gates

We take a look at 20 successful entrepreneurs — and where they worked as lowly interns (sometimes unpaid) before making it big.


1. Katia Beauchamp

The cofounder of cosmetics subscription service BirchBox interned at NBC Universal as a summer associate for digital distribution in 2010 — the same year she started her company while an MBA student at Harvard Business School.

2. Kayvon Beykpour

The CEO and co-founder of Periscope, the live video-streaming app, completed two internships before starting college in 2007. He was a summer intern at a media agency and then spent a year interning at software company Autodesk before getting a degree in computer science from Stanford University.

3. Neil Blumenthal

The Warby Parker co-founder and co-CEO was an intern for consulting firm McKinsey & Company in the summer of 2009. He started the eyewear company in 2010 while pursuing an MBA at the University of Pennsylvania’s Wharton School of Business.

REUTERS/Shannon Stapleton

4. Sean Combs

Better known as Puff Daddy, P.Diddy, or just Diddy, the hip-hop artist interned at Uptown Records in New York after dropping out of Howard University. He was eventually fired from the record label and started his own successful venture in 1993, Bad Boy Records.

Chip Somodevilla / Getty

5. Bill Gates

The billionaire and Microsoft founder had an interest in more than just technology from early on. He was a congressional page for his state legislature in Seattle and later a congressional page for the House of Representatives in 1973, at the age of 18.

Diane Bondareff/Invision for Staples/AP

6. Lori Greiner

The Shark Tank and QVC host started out as a journalist before jumping into entrepreneurship. She interned for The Chicago Tribune while still an undergraduate student at Loyola University Chicago.

Taylor Hill/Getty Images

7. Elizabeth Holmes

The controversial founder of Theranos interned at the Genome Institute in Singapore doing research on SARS the summer after her first year at Stanford University. Before completing her sophomore year, she dropped out to work full time on her health-tech startup.

Steve Jennings/Getty

8. Ryan Hoover

The founder of Product Hunt, a site that curates new products, started as a social-media marketing intern at e-gaming site InstantAction while still a student at Oregon University.

He rose to marketing analyst and product manager in 2010 before moving to mobile game startup PlayHaven and later starting his own venture in 2013.

Justin Sullivan / Getty

9. Steve Jobs

The Apple founder had a voracious hunger for knowledge since childhood. At 12, he cold-called Bill Hewlett asking for frequency counterparts. The Hewlett-Packard founder agreed to give him the parts and offered Jobs a summer internship at HP as well.

Paul Morigi/Getty Images

„Shark Tank“ investor Daymond John speaks on stage at the Thurgood Marshall College Fund 27th Annual Awards Gala at the Washington Hilton on November 16, 2015 in Washington, DC.

10. Daymond John

The ‚Shark Tank‘ host and founder of the hip-hop inspired clothing brand FUBU was an apprentice electrician working in the Bronx at 10 years old.

11. Betsey Johnson

The 73-year-old fashion designer and founder of her namesake fashion label started her career working for Mademoiselle magazine the summer after graduating from Syracuse University in 1964.

Sarah Jacobs

12. Payal Kadakia

In 2002, she started her first career in finance while still an undergraduate at MIT with a summer internship at investment bank J.P. Morgan. She interned at consulting company Monitor Group (now Monitor Deloitte) the following year. It wasn’t until 2011 that Kadakia founded her membership program for fitness classes, originally called Classtivity — now ClassPass.

13. Andy Katz-Mayfield

The co-founder of shaving company Harry’s started his career as a college intern at management consulting firm Bain & Company — where he met co-founder Jeff Raider. He later worked in marketing and business operations for the National Basketball Association. The duo launched Harry’s in 2013.

Getty / Steve Jennings

14. Max Levchin

The serial entrepreneur who co-founded PayPal, social app developer Slide, and online lending startup Affirm started his career in the Soviet Union. At 13, the Kiev native worked at a local college computer lab as a programmer in exchange for access to the computers after hours.

15. Shan-Lyn Ma

The co-founder of online wedding registry Zola and former senior director at Gilt Groupe was a marketing intern at Yahoo while pursuing her MBA degree at Stanford University. The Singapore-born entrepreneur also worked at an education startup while still an undergraduate at the University of New South Wales in Australia.

16. Kavin Mittal

Prior to becoming an entrepreneur, the founder of Delhi-based messaging app Hike Messenger held several internships while completing a master’s in electrical engineering at Imperial College London.

He was an associate vehicle engineer intern for McLaren Racing, an associate technology manager at Google, and a summer analyst at Goldman Sachs.

AP Photo/Jack Plunkett

17. Elon Musk

The billionaire entrepreneur and Tesla Motors founder held several internships before making it in the big leagues. He was a summer intern at the Bank of Nova Scotia, while still at Queens University in Ontario; an intern at Microsoft Canada; and a video game programmer for Rocket Science Games. Musk later moved to California to start a PhD in physics and interned at Pinnacle Research, an energy storage startup.

Lucas Jackson/Reuters Pictures

Snapchat CEO Evan Spiegel.

18. Evan Spiegel

The Snapchat founder and CEO worked as an unpaid intern for Red Bull after high school. Later, while completing a degree in product design at Stanford University, he interned at biotech company Abraxis BioScience and worked at software company Intuit.

Reuters/Philippe Wojazer

19. Kevin Systrom

The Instagram co-founder and CEO worked as a technical and business intern at podcasting platform startup Odeo — created by Evan Williams and Noah Glass, who later cofounded Twitter — where he created the Odeo Widget and „otherwise caused trouble.“ He was still an undergraduate at Stanford University at the time.

Gary Vaynerchuk

20. Gary Vaynerchuk

The VaynerMedia founder and #AskGaryVee Show and DailyVee host started out his career bagging ice for $2 an hour in the basement of his family store, Shopper’s Discount Liquors.

He later transformed it into the successful retailer Wine Library before launching his social-media consulting agency and YouTube series.

http://www.businessinsider.com/where-bill-gates-elon-musk-and-18-more-successful-entrepreneurs-started-as-interns-2016-5

Apple Watch: Life’s too short for slow computers

Don’t buy a watch that makes you wait

Here’s the problem with the Apple Watch: it’s slow.

It was slow when it was first announced, it was slow when it came out, and it stayed slow when Watch OS 2.0 arrived. When I reviewed it last year, the slowness was so immediately annoying that I got on the phone with Apple to double check their performance expectations before making „it’s kind of slow“ the opening of the review.

I was thinking about this in the context of two stories today: Intel abandoning their smartphone chips and Apple’s Tim Cook saying that eventually we’ll look back on the Watch as a huge hit like the iPod and iPhone.

Intel built its entire business on our unquenchable thirst for power in the PC era — the company rode Moore’s Law to higher and higher levels of performance, and when the mobile revolution arrived and the industry and consumers reprioritized battery life and heat, Intel began faltering. Computers got fast enough — Apple’s new MacBook has a brand-new Core M processor in it, but it’s not fast. It’s just capable of doing all the things you might want it to do. And it’s great. Everyone I know who has one loves it.

The same thing is true in a different way for smartphones and tablets: iPad sales have slowed because most of them are fast enough to run a bunch of video streaming services and the browser, and that’s what people use them for. Smartphones are ridiculously powerful; so much so that their upgrade cycle dramatically outpaces the ability of developers to actually make use of their features. I still haven’t seen a good use of 3D Touch on the iPhone 6S; I suspect we will never see anyone make use of LG’s Friends modules for the G5. We are surrounded by powerful, capable computers, and we use so little of their maximum capability. The only thing that even threatens to drive a major hardware cycle in the near future is VR, and we’ll see how long that lasts.

But then I look at the Apple Watch and it’s so obviously underpowered. We can sit around and argue about whether speeds and feeds matter, but the grand ambition of the Apple Watch is to be a full-fledged computer on your wrist, and right now it’s a very slow computer. If Apple believes the Watch is indeed destined to become that computer, it needs to radically increase the raw power of the Watch’s processor, while maintaining its just-almost-acceptable battery life. And it needs to do that while all of the other computers around us keep getting faster themselves. It’s a hard road, but Apple is obviously uniquely suited to invest in ambitions that grand, with billions in the bank, a top-notch chip design unit, and the ability to focus on the long-term.

The other choice is to pare the Watch down, to reduce its ambitions, and make it less of a computer and more of a clever extension of your phone. Most of the people I see with smartwatches use them as a convenient way to get notifications and perhaps some health tracking, not for anything else. (And health tracking is pretty specialized; Fitbit seems to be doing just fine serving a devoted customer base.)

If you ask me, I think it’s better to slowly stack new capabilities on top of more powerful hardware than to push out a million ideas that work too slowly in practice. And it seems I’m not alone in this — here’s John Gruber, a week ago:

My hope is that Apple does more than just make the second generation watch faster/thinner/longer-lasting, and takes a step back and reconsiders some of the fundamental aspects to the conceptual design.

Are smartwatches computers, or not? And if they’re computers, how fast do they have to be to be useful computers? The most interesting thing about the Apple Watch is how sharply it throws those questions into relief.

http://www.theverge.com/2016/5/3/11578082/lifes-too-short-for-slow-computers

Intel’s new smartphone strategy is to quit

Atom chip cancellation puts Intel’s mobile processor plans on ice

Late on Friday night, Intel snuck out the news that it’s bailing on the smartphone market. Despite being the world’s best known processor maker, Intel was only a bit player in the mobile space dominated by Qualcomm, Apple, and Samsung, and it finally chose to cut its losses and cancel its next planned chip, Broxton. This followed downbeat quarterly earnings, 12,000 job cuts, and a major restructuring at a company that’s had a very busy April. Intel is still one of the giants of the global tech industry, but it’s no longer as healthy and sprightly as it used to be.

The bane of Intel’s existence for the past decade or so has been the transition to mobile computing. It wasn’t supposed to be that way. Having secured a commanding lead as the premier provider of desktop PC processors, Intel had a clear-eyed strategy for extending its dominance into the mobile realm.

A series of ignominious failures has left Intel reeling

With the help of Microsoft in 2006, Intel inaugurated the category of Ultra-Mobile PCs (UMPCs), which were the stylus- and touch-friendly precursors to today’s ultra-versatile tablets. They combined low-voltage Celeron and Pentium M chips with Windows Vista, and like everything else touched by Vista, they flopped. Unattainable pricing and inadequate battery life consigned the UMPC to the status of a historical footnote. The same fate befell Intel’s Mobile Internet Device (MID) initiative, which saw the chipmaker pushing and incentivizing its hardware partners to build mini internet tablets like the Nokia N810. Pervasive problems with affordability, battery life, clunky design, and ill-suited software prevented MIDs from ever becoming a mass-market success.

On the software front, Intel recognized the need for a tailored operating system to make the most of mobile PCs and sought to develop its own Linux variant titled Moblin. Moblin never convinced anyone outside of Intel, and was eventually merged with Nokia’s Maemo to produce MeeGo, which in turn merged with Samsung’s Bada and is now known as Tizen. Well, it’s only barely known, even by owners of its most successful product, the Gear S2 smartwatch. The series of post-Moblin software mergers has been merely the consolidation of repeated mobile failures.

Intel’s ventures into mobile hardware and software development show that even a great idea is only as good as its execution. The MIDs and UMPCs of yesteryear were aimed at the same usage scenarios as the phablets and pro tablets of today — but they were compromised and premature, and therefore rejected by the market.

This has cost Intel dearly, with the company lavishing billions on developing suitable processors and modems to put into its various mobile undertakings. The multibillion-dollar mobile costs have spiraled in recent years — a loss of $3.1 billion in 2013 was followed by a loss of $4.3 billion in 2014 — which eventually forced Intel to combine its mobile and PC earnings reports in order to disguise its unproductive spending.

The tragedy of Intel’s mobile failure is that the company foresaw all the threats to its business and acted to preempt them. It just didn’t do so very well. That being said, Intel’s the victim of its bad decision making almost as much as its poor execution.

Favoring WiMAX over LTE was a historically bad decision

One of the fateful choices that Intel made around 2009 was to commit itself to WiMAX as the 4G standard of the future. Qualcomm went the other way, prioritizing LTE instead, and now the latter has a significant lead in designing and integrating LTE modems, while the former is scrambling and struggling to catch up. The total defeat of WiMAX almost wiped out Sprint, its biggest US purveyor and advocate, and it put Intel on the backfoot in adopting the true 4G standard of the future, which turned out to be LTE. At this point, even if Intel were to double its already vast spending, bridging the gap of years of research, development, and experience would be practically impossible.

In spite of its unhappy mobile history, Intel persisted in trying to compete because it knew how central mobile devices were becoming to our lives. Last year, its Atom processors even looked like they had a shot at denting Qualcomm’s market dominance, thanks in large part to the Qualcomm Snapdragon 810 chip’s power and heat issues. There was a small opening, but this year’s Snapdragon 820 is an absolute beast that conclusively shuts the door on any further Intel incursions.

Read more: Intel sees itself as a ‘communications and connectivity company’

The top three smartphone vendors — Apple, Samsung, and Huawei — each produce their own processors. At Mobile World Congress this year, Xiaomi, another large-scale smartphone maker, co-branded its launch event with Qualcomm. And global names like LG, HTC, and Sony basically only shop at the Snapdragon aisle for their flagship phones. Intel’s most loyal hardware partner is Asus, which makes a habit of announcing interesting new devices at Computex in June and not shipping them until the end of the year. The most feted Intel Atom-powered smartphone to date is probably the ZenFone 2, a distinction that speaks for itself.

Without any unique advantages to its Atom CPU line and no captive market like it has on the desktop, Intel is right to bow out of the smartphone processor race. It’s a merciless competition that has already ousted big names like Nvidia and Texas Instruments, and Intel will be better off figuring out different parts of the mobile computing world where it can participate profitably. CEO Brian Krzanich put „the cloud and data center“ first atop a list of Intel’s new priorities in a recent blog post, reiterating the idea that the company will transition to facilitating connectivity as its main area of competence. Discrete Intel LTE modems will still be around, and the company seems to think it can recapture its mobile competitiveness by being a leader in the adoption of the incoming 5G wireless standards. To that end, Intel doesn’t intend to kill off Atom entirely, and still plans to offer a chip for tablets later this year, codenamed Apollo Lake.

Even Moore’s Law is hitting a wall

To its credit, Intel has always operated under the assumption that mobile computing will eventually supplant the desktop and consign the old PC boxes to niche-use status. We email on our phones, ideate on our phablets, and write and create on our tablets — as Steven Sinofsky, former boss of Windows, recently articulated with respect to the iPad Pro. The primary form of personal computer is changing, which is why ultrabooks and hybrid laptops are so prominent in Intel’s marketing and development efforts. The low-power Core M, Intel told me last year, was the most important variant of the Skylake processor family, and the company’s ongoing mission is to move with its users to more portable form factors.

Intel remains a diverse and strongly profitable company. There will always be PC gamers and video producers looking for the latest and fastest CPU. But while the core business that’s kept Intel going for so many years isn’t disappearing, its importance and primacy are being steadily eroded by the insatiable growth of mobile computing. Even Moore’s Law, the Intel co-founder’s prediction about the constant growth of processing power in chips, is hitting a wall now. Intel’s desktop CPUs are being pushed further back on the roadmap while some of its mobile ones are being deleted entirely.

It’s an uncertain future for what used to be one of the most assured companies in tech.

http://www.theverge.com/2016/5/3/11576216/intel-atom-smartphone-quit

Ford patent spoofs bigger engine sound for fuel savings

It appears there’s a new wrinkle in the downsizing and turbocharging trend that’s putting a big dent in real-world fuel savings: Drivers aren’t shifting early enough. That shouldn’t be too surprising if you’ve driven something like Ford’s 1-liter EcoBoost Fiesta. With an offbeat 3-cylinder growl and the surge of turbo boost, that engine begs to be revved. Ford’s solution, according to a recent patent, is to fool these drivers by piping in artificial engine noise to simulate an engine with more cylinders.

Ford found that many drivers „shift by ear“ rather than watching the tachometer. And with these downsized, slower-revving engines that are becoming the industry norm, the auditory clues about shift points get lost on the drivers. Ford claims that this cancels out the advantages of the down-sized turbo engines because they’re not being driven within the envelope of greatest efficiency.

The solution is to train the driver to shift earlier by piping in a low-amplitude noise that occurs between cylinder firings, which increases the cylinder count to the driver’s ear. Ford’s patent allows the virtual cylinder count to be doubled or even tripled depending on how many artificial noises are superimposed between cylinder firings.

The company imagines this will be most beneficial on turbocharged 2- and 3-cylinder engines, and since manual transmissions aren’t terribly common in American mass-market cars, this seems aimed at two groups: Europeans (who still buy small cars with manual transmissions in large numbers) and sports car buyers. Whether you like Ford’s proposed system or not, at least it’s less-invasive fuel-saving solution than cutting power or artificially limiting RPM.

 

http://www.autoblog.com/2016/05/09/ford-patent-spoofs-bigger-engine-sound-for-fuel-savings/

Adam Cheyer, you just made Siri 10 times better – VIV Technologies

In the Interview with Adam Cheyer from Late 2013 TheIdea Innovation Agency asked Adam Cheyer, what’s next, we said, Viv, coming up soon. https://dieidee.eu/2013/10/30/siri-and-google-now-what-would-have-happened-to-siri-if-steve-jobs-was-still-alive/

See for yourself, how Viv is the future of Chatbots and personal digital Assistants,
Disrupt-Conference TechCrunch Siri-CEO Dag Kittlaus „Viv“ Technologies

How does it work?
It’s patented technology is called „dynamic program generation“.  The Bot does programming real-time, in the background. And it does integrate interfaces to other data sources and bots too.

The full video goes here:

10 Principles of Change Management

Tools and techniques to help companies transform quickly.

Way back when (pick your date), senior executives in large companies had a simple goal for themselves and their organizations: stability. Shareholders wanted little more than predictable earnings growth. Because so many markets were either closed or undeveloped, leaders could deliver on those expectations through annual exercises that offered only modest modifications to the strategic plan. Prices stayed in check; people stayed in their jobs; life was good.

Market transparency, labor mobility, global capital flows, and instantaneous communications have blown that comfortable scenario to smithereens. In most industries — and in almost all companies, from giants on down — heightened global competition has concentrated management’s collective mind on something that, in the past, it happily avoided: change. Successful companies, as Harvard Business School professor Rosabeth Moss Kanter told s+b in 1999, develop “a culture that just keeps moving all the time.”

This presents most senior executives with an unfamiliar challenge. In major transformations of large enterprises, they and their advisors conventionally focus their attention on devising the best strategic and tactical plans. But to succeed, they also must have an intimate understanding of the human side of change management — the alignment of the company’s culture, values, people, and behaviors — to encourage the desired results. Plans themselves do not capture value; value is realized only through the sustained, collective actions of the thousands — perhaps the tens of thousands — of employees who are responsible for designing, executing, and living with the changed environment.

Long-term structural transformation has four characteristics: scale (the change affects all or most of the organization), magnitude (it involves significant alterations of the status quo), duration (it lasts for months, if not years), and strategic importance. Yet companies will reap the rewards only when change occurs at the level of the individual employee.

Many senior executives know this and worry about it. When asked what keeps them up at night, CEOs involved in transformation often say they are concerned about how the work force will react, how they can get their team to work together, and how they will be able to lead their people. They also worry about retaining their company’s unique values and sense of identity and about creating a culture of commitment and performance. Leadership teams that fail to plan for the human side of change often find themselves wondering why their best-laid plans have gone awry.

No single methodology fits every company, but there is a set of practices, tools, and techniques that can be adapted to a variety of situations. What follows is a “Top 10” list of guiding principles for change management. Using these as a systematic, comprehensive framework, executives can understand what to expect, how to manage their own personal change, and how to engage the entire organization in the process.

1. Address the “human side” systematically. Any significant transformation creates “people issues.” New leaders will be asked to step up, jobs will be changed, new skills and capabilities must be developed, and employees will be uncertain and resistant. Dealing with these issues on a reactive, case-by-case basis puts speed, morale, and results at risk. A formal approach for managing change — beginning with the leadership team and then engaging key stakeholders and leaders — should be developed early, and adapted often as change moves through the organization. This demands as much data collection and analysis, planning, and implementation discipline as does a redesign of strategy, systems, or processes. The change-management approach should be fully integrated into program design and decision making, both informing and enabling strategic direction. It should be based on a realistic assessment of the organization’s history, readiness, and capacity to change.

2. Start at the top. Because change is inherently unsettling for people at all levels of an organization, when it is on the horizon, all eyes will turn to the CEO and the leadership team for strength, support, and direction. The leaders themselves must embrace the new approaches first, both to challenge and to motivate the rest of the institution. They must speak with one voice and model the desired behaviors. The executive team also needs to understand that, although its public face may be one of unity, it, too, is composed of individuals who are going through stressful times and need to be supported.

Executive teams that work well together are best positioned for success. They are aligned and committed to the direction of change, understand the culture and behaviors the changes intend to introduce, and can model those changes themselves. At one large transportation company, the senior team rolled out an initiative to improve the efficiency and performance of its corporate and field staff before addressing change issues at the officer level. The initiative realized initial cost savings but stalled as employees began to question the leadership team’s vision and commitment. Only after the leadership team went through the process of aligning and committing to the change initiative was the work force able to deliver downstream results.

3. Involve every layer. As transformation programs progress from defining strategy and setting targets to design and implementation, they affect different levels of the organization. Change efforts must include plans for identifying leaders throughout the company and pushing responsibility for design and implementation down, so that change “cascades” through the organization. At each layer of the organization, the leaders who are identified and trained must be aligned to the company’s vision, equipped to execute their specific mission, and motivated to make change happen.

A major multiline insurer with consistently flat earnings decided to change performance and behavior in preparation for going public. The company followed this “cascading leadership” methodology, training and supporting teams at each stage. First, 10 officers set the strategy, vision, and targets. Next, more than 60 senior executives and managers designed the core of the change initiative. Then 500 leaders from the field drove implementation. The structure remained in place throughout the change program, which doubled the company’s earnings far ahead of schedule. This approach is also a superb way for a company to identify its next generation of leadership.

4. Make the formal case. Individuals are inherently rational and will question to what extent change is needed, whether the company is headed in the right direction, and whether they want to commit personally to making change happen. They will look to the leadership for answers. The articulation of a formal case for change and the creation of a written vision statement are invaluable opportunities to create or compel leadership-team alignment.

Three steps should be followed in developing the case: First, confront reality and articulate a convincing need for change. Second, demonstrate faith that the company has a viable future and the leadership to get there. Finally, provide a road map to guide behavior and decision making. Leaders must then customize this message for various internal audiences, describing the pending change in terms that matter to the individuals.

A consumer packaged-goods company experiencing years of steadily declining earnings determined that it needed to significantly restructure its operations — instituting, among other things, a 30 percent work force reduction — to remain competitive. In a series of offsite meetings, the executive team built a brutally honest business case that downsizing was the only way to keep the business viable, and drew on the company’s proud heritage to craft a compelling vision to lead the company forward. By confronting reality and helping employees understand the necessity for change, leaders were able to motivate the organization to follow the new direction in the midst of the largest downsizing in the company’s history. Instead of being shell-shocked and demoralized, those who stayed felt a renewed resolve to help the enterprise advance.

5. Create ownership. Leaders of large change programs must overperform during the transformation and be the zealots who create a critical mass among the work force in favor of change. This requires more than mere buy-in or passive agreement that the direction of change is acceptable. It demands ownership by leaders willing to accept responsibility for making change happen in all of the areas they influence or control. Ownership is often best created by involving people in identifying problems and crafting solutions. It is reinforced by incentives and rewards. These can be tangible (for example, financial compensation) or psychological (for example, camaraderie and a sense of shared destiny).

At a large health-care organization that was moving to a shared-services model for administrative support, the first department to create detailed designs for the new organization was human resources. Its personnel worked with advisors in cross-functional teams for more than six months. But as the designs were being finalized, top departmental executives began to resist the move to implementation. While agreeing that the work was top-notch, the executives realized they hadn’t invested enough individual time in the design process to feel the ownership required to begin implementation. On the basis of their feedback, the process was modified to include a “deep dive.” The departmental executives worked with the design teams to learn more, and get further exposure to changes that would occur. This was the turning point; the transition then happened quickly. It also created a forum for top executives to work as a team, creating a sense of alignment and unity that the group hadn’t felt before.

6. Communicate the message. Too often, change leaders make the mistake of believing that others understand the issues, feel the need to change, and see the new direction as clearly as they do. The best change programs reinforce core messages through regular, timely advice that is both inspirational and practicable. Communications flow in from the bottom and out from the top, and are targeted to provide employees the right information at the right time and to solicit their input and feedback. Often this will require overcommunication through multiple, redundant channels.

In the late 1990s, the commissioner of the Internal Revenue Service, Charles O. Rossotti, had a vision: The IRS could treat taxpayers as customers and turn a feared bureaucracy into a world-class service organization. Getting more than 100,000 employees to think and act differently required more than just systems redesign and process change. IRS leadership designed and executed an ambitious communications program including daily voice mails from the commissioner and his top staff, training sessions, videotapes, newsletters, and town hall meetings that continued through the transformation. Timely, constant, practical communication was at the heart of the program, which brought the IRS’s customer ratings from the lowest in various surveys to its current ranking above the likes of McDonald’s and most airlines.

7. Assess the cultural landscape. Successful change programs pick up speed and intensity as they cascade down, making it critically important that leaders understand and account for culture and behaviors at each level of the organization. Companies often make the mistake of assessing culture either too late or not at all. Thorough cultural diagnostics can assess organizational readiness to change, bring major problems to the surface, identify conflicts, and define factors that can recognize and influence sources of leadership and resistance. These diagnostics identify the core values, beliefs, behaviors, and perceptions that must be taken into account for successful change to occur. They serve as the common baseline for designing essential change elements, such as the new corporate vision, and building the infrastructure and programs needed to drive change.

8. Address culture explicitly. Once the culture is understood, it should be addressed as thoroughly as any other area in a change program. Leaders should be explicit about the culture and underlying behaviors that will best support the new way of doing business, and find opportunities to model and reward those behaviors. This requires developing a baseline, defining an explicit end-state or desired culture, and devising detailed plans to make the transition.

Company culture is an amalgam of shared history, explicit values and beliefs, and common attitudes and behaviors. Change programs can involve creating a culture (in new companies or those built through multiple acquisitions), combining cultures (in mergers or acquisitions of large companies), or reinforcing cultures (in, say, long-established consumer goods or manufacturing companies). Understanding that all companies have a cultural center — the locus of thought, activity, influence, or personal identification — is often an effective way to jump-start culture change.

A consumer goods company with a suite of premium brands determined that business realities demanded a greater focus on profitability and bottom-line accountability. In addition to redesigning metrics and incentives, it developed a plan to systematically change the company’s culture, beginning with marketing, the company’s historical center. It brought the marketing staff into the process early to create enthusiasts for the new philosophy who adapted marketing campaigns, spending plans, and incentive programs to be more accountable. Seeing these culture leaders grab onto the new program, the rest of the company quickly fell in line.

9. Prepare for the unexpected. No change program goes completely according to plan. People react in unexpected ways; areas of anticipated resistance fall away; and the external environment shifts. Effectively managing change requires continual reassessment of its impact and the organization’s willingness and ability to adopt the next wave of transformation. Fed by real data from the field and supported by information and solid decision-making processes, change leaders can then make the adjustments necessary to maintain momentum and drive results.

A leading U.S. health-care company was facing competitive and financial pressures from its inability to react to changes in the marketplace. A diagnosis revealed shortcomings in its organizational structure and governance, and the company decided to implement a new operating model. In the midst of detailed design, a new CEO and leadership team took over. The new team was initially skeptical, but was ultimately convinced that a solid case for change, grounded in facts and supported by the organization at large, existed. Some adjustments were made to the speed and sequence of implementation, but the fundamentals of the new operating model remained unchanged.

10. Speak to the individual. Change is both an institutional journey and a very personal one. People spend many hours each week at work; many think of their colleagues as a second family. Individuals (or teams of individuals) need to know how their work will change, what is expected of them during and after the change program, how they will be measured, and what success or failure will mean for them and those around them. Team leaders should be as honest and explicit as possible. People will react to what they see and hear around them, and need to be involved in the change process. Highly visible rewards, such as promotion, recognition, and bonuses, should be provided as dramatic reinforcement for embracing change. Sanction or removal of people standing in the way of change will reinforce the institution’s commitment.

Most leaders contemplating change know that people matter. It is all too tempting, however, to dwell on the plans and processes, which don’t talk back and don’t respond emotionally, rather than face up to the more difficult and more critical human issues. But mastering the “soft” side of change management needn’t be a mystery.

Author Profiles:

  • John Jones is a vice president with Booz Allen Hamilton in New York. Mr. Jones is a specialist in organization design, process reengineering, and change management.
  • DeAnne Aguirre (deanne.aguirre@strategyand.us.pwc.com) is an advisor to executives on organizational topics for Strategy&, PwC’s strategy consulting business, and a principal with PwC US. Based in San Francisco, she specializes in culture, leadership, talent effectiveness, and organizational change management.
  • Matthew Calderone is a senior associate with Booz Allen Hamilton in the New York Office. He specializes in organization transformation, people issues, and change management.

http://www.strategy-business.com/article/rr00006?gko=643d0

Definition of Change Management

A useful definition of change management that I use is:

‚the coordination of a structured period of transition from situation A to situation B in order to achieve lasting change within an organization‘.
(BNET Business Dictionary)

To help you in your search for a definition of change management here are others I’ve found to be useful:

The systematic approach and application of knowledge, tools and resources to deal with change. Change management means defining and adopting corporate strategies, structures, procedures and technologies to deal with changes in external conditions and the business environment.
SHRM Glossary of Human Resources Terms, http://www.shrm.org.

Change management is the process, tools and techniques to manage the people-side of business change to achieve the required business outcome, and to realize that business change effectively within the social infrastructure of the workplace.
Change Management Learning Center

Change Management: activities involved in (1) defining and instilling new values, attitudes, norms, and behaviors within an organization that support new ways of doing work and overcome resistance to change; (2) building consensus among customers and stakeholders on specific changes designed to better meet their needs; and (3) planning, testing, and implementing all aspects of the transition from one organizational structure or business process to another.
http://www.gao.gov/special.pubs/bprag/bprgloss.htm

…a systematic approach to dealing with change, both from the perspective of an organization and on the individual level…proactively addressing adapting to change, controlling change, and effecting change.
Case Western Reserve University

Change management is a systematic approach to dealing with change, both from the perspective of an organization and on the individual level.
searchsmb.com

Change Management is an organized, systematic application of the knowledge, tools, and resources of change that provides organizations with a key process to achieve their business strategy.
Lamarsh

The systematic management of a new business model integration into an organization and the ability to adapt this change into the organization so that the transformation enhances the organizational relationships with all its constituents.
bitpipe.com

Change Management: the process, tools and techniques to manage the people-side of change processes, to achieve the required outcomes, and to realize the change effectively within individuals, teams, and the wider systems.

Change management is a structured approach to transitioning individuals, teams, and organizations from a current state to a desired future state. The current definition of Change Management includes both organizational change management processes and individual change management models, which together are used to manage the people side of change.
Wikipedia

Minimizing resistance to organizational change through involvement of key players and stakeholders.
BusinessDictionary.com

Change management is a style of management that aims to encourage organizations and individuals to deal effectively with the changes taking place in their work.
English Collins Dictionary

quote: http://www.change-management-coach.com/definition-of-change-management.html