The Inovo Group

OCTOBER 10, 2018

Aline Santos, Unilever EVP for Global Marketing. But the issues involved are also more complex and difficult to manage. The collaboration between Corporates and Startups then becomes how to manage the coupling/decoupling process in all its potential complexity. Highlights. A future scenario envisions how this could work.

Collaboration 40

Collaboration Technical Review Software Review Trends 40

Innovation 360 Group

SEPTEMBER 30, 2017

Innovation is about gaining, sustaining, and using market advantages for as long as possible while, at the same time, learning in preparation for future situations—all while not knowing exactly whether, when, or how that new learning will be used. Innovation and Artificial Intelligence. Strategy for getting ready.

Artificial Inteligence 40

Artificial Inteligence Strategy Strategy Leadership 40

Innovation 360 Group

SEPTEMBER 30, 2017

Innovation is about gaining, sustaining, and using market advantages for as long as possible while, at the same time, learning in preparation for future situations—all while not knowing exactly whether, when, or how that new learning will be used. Innovation and Artificial Intelligence. Strategy for getting ready.

Artificial Inteligence 40

Artificial Inteligence Strategy Strategy Leadership 40

Paul Hobcraft

DECEMBER 2, 2016

So if there was ever a time to clear the existing innovation agenda and rework the entire space for innovating, it is about to become the pressing reality as we enter into 2017. Innovation beckons, it is the pathway to begin to get us out of many unsustainable positions caused by political policy and disappointing economic management.

Technical Review 100

Technical Review Innovation Collaboration Software Review 100

Acuvate

NOVEMBER 22, 2019

In 2017, The Economist reported that data is the oil of the digital era and has dethroned oil as the most valuable resource in the world. But unlike oil, extracting, maneuvering, filtering, refining and storing the continuous stream of data from various internal and external sources is a herculean task.

Data 72

Data Technical Review Underperforming Technical Team Analysis 72

The BMI Lab Blog

DECEMBER 6, 2017

(This is the first in a series of two articles about innovation in China, where we share the insights gained from the research trip we made to China with some of BMI Lab’s clients in August 2017). Massive investments, a huge market and the hiring of worldwide talent has boosted the Chinese innovative ecosystem.

System 58

System Innovation Entrepreneurship Policies 58

ITONICS

MAY 14, 2018

Nevertheless, many market participants still face the enormous challenge of figuring out the blend of all necessary elements and the right mix for a successful innovation process. Bezirk , a startup of crack engineering team inside Bosch figured that retail IoT is a great market that needs personalization. million in 2017 (23.4%

Company 57

Company Technical Review Software Review Innovation 57

Innovation 360

OCTOBER 1, 2017

Innovation is about gaining, sustaining, and using market advantages for as long as possible while, at the same time, learning in preparation for future situations—all while not knowing exactly whether, when, or how that new learning will be used. Innovation and Artificial Intelligence. Strategy for getting ready.

Artificial Inteligence 32

Artificial Inteligence Strategy Strategy Leadership 32

Linda Bernardi

JULY 24, 2017

The reasons are discussed in detail in my upcoming book, The Inversion Factor (MIT Press, October 2017), but I will unpack some of them here. We are past Big Data (which occurred with the advent of mobile, apps and social media), and are in the Hyper-Data stage. Yet AI is not a new concept. They include: 1.

Artificial Inteligence 29

Artificial Inteligence Technical Review Agile Software Review 29

Daniel Burrus

JANUARY 4, 2018

3 Big Data and the Use of High-Speed Data Analytics. Big data” is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data. Separating good data from bad data will also become a rapidly growing service. #4

Trends 0

Trends Technical Review Artificial Inteligence Technology 0

hackerearth

JULY 19, 2018

The investment in AI by both tech giants as well as start-ups has increased 3 folds to $40 Billion as of 2017. Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Planning: The ability to set and achieve goals.

Artificial Inteligence 79

Artificial Inteligence Technical Review Software Review Big Data 79

Qmarkets

JUNE 16, 2017

Dan Akerson, retired CEO of General Motors, recently commented on Apple's alleged entrance into the automotive market with the following remarks: "We take steel, raw steel, and turn it into a car. While car sales in other markets, such as China, are still growing, a look at cities, here too, signals that this trend won't hold for long.

Industry 56

Industry Technical Review Software Review Disruption 56

Corporate Innovation

JANUARY 15, 2018

Later the same month GM’s management team held an investor day to present the roadmap of its autonomous vehicle program and detail the mobility services it intends to offer using such vehicles starting in 2019, building on its tests in San Francisco and Scottsdale, another suburb of Phoenix. Examples include Toyota, Nissan, and Tata.

Data 55

Data Examples Company Technology 55

Open Innovation EU

OCTOBER 11, 2017

It has been a while since Henry Chesbrough coined the term Open Innovation and formulated it’s definition: “combining internal and external ideas as well as internal and external paths to market to advance the development of new technologies.” It is as such not a paradigm but a program management method.

Open Innovation 85

Open Innovation Crowdsourcing Innovation Collaboration 85

Wazoku

JANUARY 23, 2017

These are my predictions for the banking industry in 2017. Tech giants to continue encroaching on financial territory, with a significant land grab to be made by ‘BigTech’ The ability of data to make trade decisions will allow global tech giants to disrupt financial services on a scale fintech’s can only dream of.

Disruption 40

Disruption Big Data Data Technology 40