The BMI Lab Blog

DECEMBER 6, 2017

At BMI Lab we wanted to learn how they did it, so we travelled to China with some clients, visiting companies, factories, labs and universities to find the recipe for the secret sauce of Chinese innovation. Graphic showing the growth of mobile payments users in China between 2009 and 2013, compared to not mobile payment users.

System 58

System Innovation Entrepreneurship Policies 58

Harvard Business Review

JUNE 25, 2013

Few industries illustrate the Big Data wars better than the media business. Using their treasure troves of information on online customer viewing habits, they''re designing new TV series that their data tells them will win. subscribers in the first quarter of 2013, a 7% increase over the previous quarter.

Big Data 10

Big Data Data Company Survey 10

Harvard Business Review

FEBRUARY 14, 2013

Companies in all industries are trying to capitalize on the Big Data revolution with the belief that the ability to collect and quickly analyze huge streams of data will provide new insights, better decisions, and a better customer experience. Tune in now to learn how you can make your IT projects successful in 2013.

Big Data 8

Big Data Data Project Technology 8

Integrative Innovation

JANUARY 27, 2016

Hence, I gave it some thought, starting by revisting an earlier reflection: Beginning of 2013, Tim Kastelle and I identified four key issues in innovation management for the time to come. In the first place, experimentation is about testing assumptions and hypotheses by means of a scientific learning approach.

Underperforming Technical Team 40

Underperforming Technical Team Innovation Big Data LEAN 40

Harvard Business Review

MAY 19, 2014

Not a week goes by without us publishing something here at HBR about the value of data in business. Big data, small data, internal, external, experimental, observational — everywhere we look, information is being captured, quantified, and used to make business decisions. Why data matters. Learn statistics.

Data 21

Data Management Big Data Analysis 21

mjvinnovation

DECEMBER 13, 2019

Regarding public health, data recorded in the systems allows researchers to access statistics that are entered in real-time. Big Data and Cloud Computing are two technological phenomena that have gradually altered the way the healthcare market has grown and developed. Artificial Intelligence is pointing to the future.

Artificial Inteligence 40

Artificial Inteligence Marketing Data Trends 40

Harvard Business Review

APRIL 14, 2017

By the time he left Amazon in 2013, his group had grown from 35 to more than 1,000 people who used machine learning to make Amazon more operationally efficient and effective. Over the same time period, the company saw a 10-fold increase in revenue. AI wasn’t new at Microsoft.

Artificial Inteligence 19

Artificial Inteligence Company Technical Review Survey 19

Harvard Business Review

MARCH 25, 2013

For 2013 — mark your diary for December 3rd — we've set a goal of 5,000 partners including some of the nation's top corporate names and leading funders. The challenge ahead, for any organization trying to create movements at scale, is not simply to master social media, but to learn to shape and support social communities.

Change 19

Change LEAN Big Data Groups 19

Harvard Business Review

AUGUST 28, 2017

Total investment (internal and external) in AI reached somewhere in the range of $26 billion to $39 billion in 2016, with external investment tripling since 2013. We include five categories of AI technology systems: robotics and autonomous vehicles, computer vision, language, virtual agents, and machine learning.).

Survey 15

Survey Artificial Inteligence Big Data Technology 15

Harvard Business Review

OCTOBER 8, 2018

The past 10 years have seen a wave of innovative big data software designed to analyze, manipulate, and visualize data. Yet for the regular knowledge worker, Microsoft Excel, 30 years on, remains the go-to product for people looking to make sense of data. Paste Special (10 minutes to learn).

Data 15

Data Learning Big Data Tips 15

Harvard Business Review

MAY 20, 2014

More than half (52 percent) of respondents who graduated in 2012 and 2013 and managed to find jobs tell us they did not receive any formal training in those positions. Here, a good example might be early training in data analysis and visualization. Lay the groundwork for future contributions.

Underperforming Technical Team 14

Underperforming Technical Team Training Survey Big Data 14

Harvard Business Review

AUGUST 22, 2014

Watson demonstrated that machines could understand and interact in a natural language, question-and-answer format and learn from their mistakes. More than 2,500 developers and start-ups have reached out to the IBM Watson Group since the Watson Developers Cloud was launched in November 2013. So how does it work?

Change 15

Change Agile Open Innovation Crowdsourcing 15

Harvard Business Review

MAY 22, 2014

Data scientists, supported by the stunning growth in the gathering and processing of so-called big data, can extract patterns from massive stores of browsing and sales data in order to predict our likes and dislikes and tailor marketing experiences to us. Big data flexed its muscles. But there is a problem.

Artificial Inteligence 11

Artificial Inteligence Big Data Data Marketing 11

Harvard Business Review

JANUARY 5, 2015

Deep learning: Artificially intelligent computers are now capable of deep learning using neural networks, which you can think of as brain-inspired systems capable of translating pixels into English. Its software “learned” how to think by processing vast quantities of data. Here are six of note.

Technical Review 15

Technical Review Trends Artificial Inteligence Software Review 15

Harvard Business Review

SEPTEMBER 26, 2016

You’ll learn that the key to being successful must be something else. Over my 40-year banking career, I’ve learned that the critical distinguishing factor for advancing in the professional services is emotional intelligence (EQ). ” Emotional intelligence matters even more today. .”

Underperforming Technical Team 15

Underperforming Technical Team Collaboration Big Data Industry 15

Harvard Business Review

MARCH 25, 2013

For 2013 — mark your diary for December 3rd — we've set a goal of 5,000 partners including some of the nation's top corporate names and leading funders. The challenge ahead, for any organization trying to create movements at scale, is not simply to master social media, but to learn to shape and support social communities.

Change 12

Change LEAN Big Data Groups 12

Harvard Business Review

MAY 26, 2014

In our group at Merck, we are witnessing this opportunity firsthand as we collaborate with start-ups in the areas of digital health, big data, and health IT. billion in 2013, up 39% from 2012. Access to data is enabling us to better understand and address problems.

Entrepreneurship 10

Entrepreneurship Policies Data Big Data 10

Harvard Business Review

MARCH 13, 2013

Big data is rolling in after it. Pew's January 2013 poll drives this point home — their survey found that a mere 26% of Americans trust the government in Washington to do the right thing just about always or most of the time. But these are the wrong tools for the job that now needs doing.

Big Data 9

Big Data Tools LEAN Course 9

Harvard Business Review

SEPTEMBER 30, 2013

Hospital consolidation is on the rise , a trend that shows no signs of abating as providers try to streamline back-end operations and deploy big data analytics in hopes of improving outcomes and lowering costs. She now consults with physicians and hospitals nationwide as they learn to design true patient-centered practices.

Entrepreneurship 11

Entrepreneurship Technical Review System Big Data 11

Harvard Business Review

JANUARY 29, 2015

For some time now we’ve been living into a smarter world filled with Big Data and analytics, and a more connected one that’s been described as “ the internet of things.” ” In this world, customers expect their suppliers to surround their products with data services and digitally enhanced experiences.

Software 14

Software Software Engineering Data Software Developers 14

Harvard Business Review

MARCH 9, 2018

What can we learn from these examples of digital dreams deferred? It happened with analytics and big data, when companies like Sears and Zynga invested millions in creating analytics units that never paid back their investments. At P&G, then-CEO Bob McDonald was asked to leave by his board, as was Ford CEO Mark Fields.

Technical Review 8

Technical Review Underperforming Technical Team Technology Software Review 8

Harvard Business Review

JULY 12, 2017

Automation, big data, and artificial intelligence enabled by the application of digital technologies could affect 50% of the world economy. In 2013 85% of the world’s transactions were in cash. They have deep resources for innovation with the ability to accelerate the penetration and adoption of digital products.

Competition 8

Competition Artificial Inteligence Policies Technology 8

Qmarkets

DECEMBER 3, 2019

Real-time technologies, artificial intelligence, and big data capabilities exponentiate the amount of information that can be collected for both short and long-term projects. Companies, individuals, NGOs and other groups are now able to collaborate with the greater public, thanks to this revolutionary technology.

Open Innovation 52

Open Innovation Crowdsourcing Project Artificial Inteligence 52

Harvard Business Review

DECEMBER 15, 2017

But by 2013, these figures fell “to about one-third of firms and one-tenth of total employment.” The competition ideal is especially needed in the digital economy, as our works Virtual Competition: The Promise and Perils of the Algorithm-Driven Economy and Big Data and Competition Policy explain.

Software Review 8

Software Review Policies Competition Technical Review 8