Paul Hobcraft

JUNE 18, 2019

We work through a series of steps discussing what is in the market today, what is changing and then what might take its place in the future. It is a framework for seeing interrelationships rather than things, for seeing patterns of change rather than static snapshots.” – Peter Senge. Does it go beyond the existing?

Design Thinking 217

Design Thinking Innovation Design System 217

Open Innovation EU

JANUARY 23, 2017

During that sabbatical they traveled the world and tried to speak with as many educational visionaries as possible. Digitalization: IT will change the landscape of educat ion forever. The future will behold exponential learning through big data, open science and serious games.

Trends 40

Trends Entrepreneurship Big Data Learning 40

Thinkers360 - Thought Leader Interviews

APRIL 29, 2023

My first job was as a paint merchandiser, travelling all over Scotland. In the last two years, the business has expanded to include several freelance classification specialists, a business manager, a data analyst under the Government’s Kickstarter scheme, and a marketing manager.

Data 59

Data Leadership Video Big Data 59

mjvinnovation

JULY 6, 2020

We believe that many things will change for the better within this scenario of chaos and collapse. We know that building this new normal is a very big challenge. To achieve that, it is fundamental to have cultural proximity, proficiency in the language, and a perfect understanding of the market. Market knowledge.

Agile 40

Agile Project Culture Big Data 40

Corporate Innovation

JULY 17, 2017

In my book The Big Data Opportunity In Our Driverless Future I identify two distinct value chains that have been established because of the car ownership-centric model that has been dominant for the past 70+ years: the vehicle manufacturing and sale value chain , and the vehicle use value chain.

Analysis 56

Analysis Big Data Data Examples 56

mjvinnovation

APRIL 18, 2019

As we have seen, we are in the exponential curve of Big Data. Because of this, it is very important that we have methods to validate hypotheses and, more importantly, techniques so that we can see all this data clearly. Evaluates whether data and assumptions are correlated within the statistical procedures used.

Analysis 40

Analysis Artificial Inteligence Data Big Data 40

Corporate Innovation

MAY 17, 2016

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. As a result, they don’t capture data of sufficient scale and they are not best in class yet at exploiting big data.

Big Data 40

Big Data Data Technical Review Meeting 40

Corporate Innovation

MAY 17, 2016

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. As a result, they don’t capture data of sufficient scale and they are not best in class yet at exploiting big data.

Big Data 40

Big Data Data Technical Review Meeting 40

Corporate Innovation

MAY 17, 2016

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. As a result, they don’t capture data of sufficient scale and they are not best in class yet at exploiting big data.

Big Data 40

Big Data Data Technical Review Meeting 40

mjvinnovation

FEBRUARY 20, 2020

It is Design Thinking that will pave the way to traveling assertively. Have more flexibility to perform changes with less painful holdbacks. Agile meets market and business needs, delivers high quality quality results through high productivity. It is the union between doing and thinking. Agile: Make Tangible and build.

Design Thinking 69

Design Thinking Agile Design Technical Review 69

Corporate Innovation

OCTOBER 3, 2017

In my book and previous posts I build a broad case for the importance of big data and AI in next-generation mobility , and provide several examples of data that is being collected, or can be collected, in a variety of transportation and logistics situations. Six Use Cases For Autonomous Vehicles. Managing the fleet.

Big Data 58

Big Data Data System Technology 58

mjvinnovation

MAY 3, 2019

Quite in line with what we already know from the Digital Transformation concept, the Insurtech phenomenon is grounded by Big Data, Artificial Intelligence (AI) and the Internet of Things (IoT) – most of the capital invested goes into these areas. Customers also want their insurance products to be delivered through mobile devices.

Examples 40

Examples Artificial Inteligence How To Internet of things 40

Technology Created

NOVEMBER 29, 2013

Would not the study of Mobility, Big Data, Cloud, Social Media and Clean Energy be a much wiser investment of our time? Why would it be important to dig into events such as the introduction of the Model A by Henry Ford in 1927 or the failure of IBM to react to Microsoft’s entry into the PC market in the early 1980’s?

Technical Review 54

Technical Review Technology Examples Internet of things 54

Acuvate

SEPTEMBER 12, 2022

With remote employees, IoT, connected networks and devices, and employees’ social platforms, in addition to customer and business data, modern enterprises generate massive volumes of data every single day. This data, although often unstructured, is precious. And now, it’s time for data to take the next giant leap.

Data 52

Data Big Data Technology Report 52

Qmarkets

JANUARY 17, 2023

We’re right at the beginning of an era of market disruption affecting sweeping, radical changes to personal and public transport, and the pressure on companies to innovate is coming from all directions. In H1 last year, EVs’ market share of new car sales stood at 11.3% , almost double that of the same period in 2021.

Industry 98

Industry Trends Innovation Technology 98

Qmarkets

JANUARY 17, 2023

We’re right at the beginning of an era of market disruption affecting sweeping, radical changes to personal and public transport, and the pressure on companies to innovate is coming from all directions. In H1 last year, EVs’ market share of new car sales stood at 11.3% , almost double that of the same period in 2021.

Industry 52

Industry Innovation Trends Technology 52

Board of Innovation

JUNE 5, 2022

Do you once in a while travel by plane? Many people who travel by plane can rather be frustrated to think of luggage belts and all the inconvenience they are bringing in their lives – imagine how much time it takes to wait for your suitcase – but Vanderlande makes much money with it. But what is actually an MVP?

Design 52

Design Underperforming Technical Team Video Big Data 52

Innovating4Energy

AUGUST 23, 2022

I have been looking in a short mini-series at the need to structure the Energy System in a very systematic and consistent evaluation as we undertake the changes from a fossil-reliant ecosystem into a clean, renewable one, with the overriding obligation to address climate change. Innovation & Ingenuity, 2.

System 52

System Technology Big Data Change 52

Paul Hobcraft

DECEMBER 2, 2016

There is a lot of change occurring around our innovation abilities. The whole network effect is changing us, it may be broadening our views or defining them and it is allowing for increased possibilities to influence and materially gain. Any renewing needs innovation to become more central but it will be different.

Technical Review 100

Technical Review Innovation Collaboration Software Review 100

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

Board of Innovation

JUNE 5, 2022

Some of the most notable and disruptive inventions of tomorrow will require a paradigmatic change in the way we interpret things today, in the way we perform tasks, in the technologies and resources we have access to. This tracker is interesting because it combines big data management with a photographic memory.

Artificial Inteligence 52

Artificial Inteligence Data Examples Trends 52