Paul Hobcraft

JUNE 22, 2021

There is so much in need of disruption; we must learn not to fear it but embrace it differently. We need to utilize technology, digitalization, AI and machine learning with all the great human ingenuity. We need new imaginative thinking, which comes from listening, collaborating and learning more from each other.

Collaboration 130

Collaboration Learning Change Industry 130

Paul Hobcraft

JUNE 22, 2021

There is so much in need of disruption; we must learn not to fear it but embrace it differently. We need to utilize technology, digitalization, AI and machine learning with all the great human ingenuity. We need new imaginative thinking, which comes from listening, collaborating and learning more from each other.

Collaboration 130

Collaboration Learning Change Industry 130

Destination Innovation

JANUARY 24, 2024

In technology, it drives breakthrough inventions; in art, it leads to creative new trends, in business, it reshapes traditional models; in healthcare, it inspires novel treatments; in education, it transforms learning methods; and in social innovation, it addresses societal challenges with unconventional solutions.

Disruption 208

Disruption Entrepreneurship Social Innovation Policies 208

Corporate Innovation

JANUARY 25, 2016

In this two-part series, we will discuss the big data challenge facing the automotive industry. Information in EAC+MS implies big data and incumbents in the automotive ecosystem must become serious about big data. We read about the progress automakers and their suppliers are making along the first four dimensions.

Big Data 58

Big Data Data System Artificial Inteligence 58

Corporate Innovation

JANUARY 25, 2016

In this two-part series, we will discuss the big data challenge facing the automotive industry. Information in EAC+MS implies big data and incumbents in the automotive ecosystem must become serious about big data. We read about the progress automakers and their suppliers are making along the first four dimensions.

Big Data 58

Big Data Data System Artificial Inteligence 58

Corporate Innovation

FEBRUARY 11, 2016

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. Incumbent Tier 1 and Tier 2 suppliers have started developing such big data expertise over the years as more of the automotive innovation shifted to them. Create a data-sharing culture.

Big Data 53

Big Data Data Strategy Strategy 53

Corporate Innovation

FEBRUARY 11, 2016

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. Incumbent Tier 1 and Tier 2 suppliers have started developing such big data expertise over the years as more of the automotive innovation shifted to them. Create a data-sharing culture.

Big Data 53

Big Data Data Strategy Strategy 53

Paul Hobcraft

FEBRUARY 7, 2024

On this site, I have been exploring issues associated with building Ecosystems, each valuable to read, such as collective learning, resistance, values of interconnected layers, barriers, a blueprint and a base post of “ Why Ecosystems ” and illustrating where and how ecosystems think and design are emerging.

Design 147

Design Technical Review Collaboration ChatGPT 147

Corporate Innovation

JANUARY 25, 2016

In this two-part series, we will discuss the big data challenge facing the automotive industry. Information in EAC+MS implies big data and incumbents in the automotive ecosystem must become serious about big data. We read about the progress automakers and their suppliers are making along the first four dimensions.

Big Data 40

Big Data Data System Artificial Inteligence 40

Corporate Innovation

FEBRUARY 11, 2016

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. Incumbent Tier 1 and Tier 2 suppliers have started developing such big data expertise over the years as more of the automotive innovation shifted to them. Create a data-sharing culture.

Big Data 40

Big Data Data Strategy Strategy 40

Innovation 360

JANUARY 6, 2017

Basically, the automotive industry is redefining itself and a new industry is being borne. The action taken by the automotive industry is, however, very late and under threat of being erased. Who are the winners – and what can we learn from them? A lot of shareholder value has been lost, probably totally unnecessarily.

System 40

System Radical Innovation Design Leadership 40

Paul Hobcraft

FEBRUARY 8, 2024

It is the connecting up of opportunities with the ability to design the solution in highly exploratory and exploring ways of learning that begin to break down complexity and see new ways to evolve. Tesla: Approach: Tesla, led by Elon Musk, is revolutionizing the automotive industry. How radical will this be?

Examples 147

Examples Artificial Inteligence Design Collaboration 147

Daniel Burrus

JULY 14, 2021

in the automotive industry, this pandemic obstacle became the occurrence they needed to take the leap in transforming public transportation. in the automotive industry is largely similar to a bat’s sonar ability. and machine learning (M.L.); Robo-taxis are just as they sound, self-driving taxis fully powered by A.I.

Artificial Inteligence 135

Artificial Inteligence Internet of things Disruption Trends 135

Innovation 360 Group

JANUARY 5, 2017

Basically, the automotive industry is redefining itself and a new industry is being borne. The action taken by the automotive industry is, however, very late and under threat of being erased. Who are the winners – and what can we learn from them? A lot of shareholder value has been lost, probably totally unnecessarily.

System 40

System Radical Innovation Design Leadership 40

Yet2

JANUARY 30, 2017

Machine learning is method of giving computers the ability to learn without being explicitly programmed. Algorithms are able to iteratively learn from data to find hidden insights without being programmed where to look, learning and improving each time they do so.

Artificial Inteligence 49

Artificial Inteligence Learning Data Technology 49

Qmarkets

JULY 8, 2017

With over 3,100 employees across 36 companies, RCI Bank and Services is a multinational finance company which is focused on delivering innovative services to customers of the Renault and Nissan automotive groups. Finally we selected one “super-winner” who would be awarded with a learning expedition to the start-up hub of Silicon Valley.

Technical Review 58

Technical Review Software Review Company How To 58

Business and Tech

MARCH 25, 2022

The automotive industry’s future is electric. Visit bluearcev.com to learn more. Commercial industry requires innovation, flexibility, and strength from its EV solutions. The Shyft Group has built a complete EV ecosystem with that in mind. This is true for passenger cars and trucks as well as for commercial vehicles.

Groups 130

Groups Meeting System Design 130

Qmarkets

APRIL 24, 2017

With over 3,100 employees across 36 companies, RCI Bank and Services is a multinational finance company which is focused on delivering innovative services to customers of the Renault and Nissan automotive groups. Finally we selected one “super-winner” who would be awarded with a learning expedition to the start-up hub of Silicon Valley.

Technical Review 40

Technical Review Software Review Company How To 40

Paul Hobcraft

NOVEMBER 16, 2020

We need to engage in different ecosystems and participate in new platform learning to take advantage of the changes taking place all around us. It is rapidly becoming the source of information, value generator and our personalized “dual world” as it learns what we need and is increasingly responding to mirror our world.

Change 217

Change Collaboration Industry Artificial Inteligence 217

Jeffrey Phillips

SEPTEMBER 9, 2015

For example, disruption in the automotive industry is much more likely to come from Tesla or Google than from GM or Ford. Again, for automotive manufacturers the disrupters will come increasingly from Silicon Valley, where they are used to really rapid change and short product cycles. He also talked about the increasing pace of change.

Underperforming Technical Team 100

Underperforming Technical Team Trends Disruption Industry 100

Leapfrogging

FEBRUARY 28, 2024

This iterative process is crucial in design thinking, as it enables teams to quickly learn from user interactions and refine their solutions accordingly. Machine learning models can predict user behavior and preferences, leading to more focused and effective iterations. The education sector is also benefiting from AI integration.

Design Thinking 113

Design Thinking Artificial Inteligence Design Strategy 113

Yet2

FEBRUARY 20, 2018

Adjacency in the Automotive Industry. For example, look at the automotive industry. automakers didn’t explore adjacent regions and industries, they’d be limiting themselves to sourcing technology and innovation to (mostly) companies in and around Detroit and those in the automotive supply chain.

Technology 45

Technology Conference Industry Trends 45

Planview

SEPTEMBER 26, 2023

I worked in the automotive industry at the beginning of my career when I first graduated. What is the biggest lesson you’ve learned as you’ve moved up in your career? Definitely, the biggest lesson I’ve learned is you have to be true to yourself. That has been the biggest thing I’ve learned, especially in the last few years.

Management 105

Management Meeting Report Collaboration 105

Thinkers360 - Thought Leader Interviews

MARCH 18, 2023

He is also recognized as an international keynote speaker that has delivered numerous keynotes for some of the world’s largest companies, covering high-impact topics such as Sustainability, the Energy Transition, the CASE Megatrends in Automotive, and more. Thinkers360: What’s the favorite part of your current role?

Technology 52

Technology Internet of things ChatGPT Leadership 52

Tullio Siragusa

JANUARY 9, 2023

The Trends Artificial Intelligence and Machine Learning AI and ML are expected to continue to be integrated into a wide range of industries, from healthcare to finance to retail, to improve efficiency and productivity. Some of the key companies leading the way in AI and ML include Google, Facebook, Amazon, Microsoft, and IBM.

Artificial Inteligence 118

Artificial Inteligence Trends Technology Design Thinking 118

Qmarkets

AUGUST 23, 2023

Automotive manufacturer Toyota has followed the Kaizen approach to incremental innovation for almost a century. It enables continuous learning. Toyota is well-known for its Kaizen approach to production. As a result of its low risk nature, incremental innovation actually allows companies to embrace failure.

Examples 98

Examples Innovation Disruption Innovation Programs 98

Corporate Innovation

JANUARY 15, 2018

These larger scale efforts follow a year during which various company types, from incumbent OEMs , to automotive suppliers, global ride-hailing companies, large technology companies, to startups have been demonstrating autonomous vehicles of many form factors targeting a variety of next-generation mobility applications.

Data 55

Data Examples Company Technology 55

Cris Beswick

JANUARY 31, 2023

Adapting to new market conditions means, first and foremost, learning about and keeping pace with the market and consumption patterns. This is as true in fashion as in automotive, IT or even banking. Therefore, like many other complex global brands, Audi needs to focus its capabilities towards optimizing its learning cycle.

Technical Review 59

Technical Review Leadership System Culture 59

Rmukesh Gupta

MARCH 7, 2019

When it comes to learning and creating a framework for learning, I have tremendous respect for Harold Jarche. In the post methods for mastery , he shares a couple of frameworks of learning frameworks that we can use to enhance our own learning. Really good read.

Design 45

Design Learning Industry Technology 45

Jeffrey Phillips

FEBRUARY 18, 2019

Thus the large automotive companies may take another hit from losing some financing margin. AI/ML All the while artificial intelligence and machine learning are providing insights into consumer behavior and usage and identifying issues within the supply chain and the manufacturing process. Shifts in branding?

Artificial Inteligence 209

Artificial Inteligence Innovation Big Data Technology 209

hackerearth

MARCH 5, 2019

The Nest Learning Thermostat , a smart thermostat, created by Nest Labs, allows users to remotely control and monitor the temperature of their homes. The device also learns the preferences of its user and adjusts itself accordingly. Smart cameras can detect the difference between robbers, visitors, and pets. Industrial IoT. Conclusion.

Internet of things 110

Internet of things Artificial Inteligence Technical Review Data 110

Innovation 360 Group

DECEMBER 13, 2017

He is a change agent and experienced trainer in his expertise areas, where he frequently shares his knowledge as trainer, guest lecturer & keynote speaker at public events, institutions of higher learnings/universities and conferences. Process Innovation (Certified Design for Six Sigma Black-Belt, Lean).

Internet of things 40

Internet of things Conference Big Data Design Thinking 40

Innovation 360

DECEMBER 13, 2017

He is a change agent and experienced trainer in his expertise areas, where he frequently shares his knowledge as trainer, guest lecturer & keynote speaker at public events, institutions of higher learnings/universities and conferences. Process Innovation (Certified Design for Six Sigma Black-Belt, Lean). Contact: [link].

Internet of things 40

Internet of things Conference Big Data Design Thinking 40

The BMI Lab Blog

FEBRUARY 10, 2020

Even if Sony uses this concept only as a showcase for its automotive offerings, we thought it would be worth thinking a bit further about the concept. The car was assembled by Magna, a leading automotive supplier already assembling vehicles for several manufacturers worldwide. The streaming war is just getting started What is it about?

Innovation 52

Innovation Data Industry Disruption 52

Daniel Burrus

MAY 4, 2022

There are countless applications of artificially intelligent software and hardware in the world today, from content writing applications that can take keywords and generate targeted blogs to robotics in automotive manufacturing that can not only diagnose problems in their systems, but fix them as well using machine learning (M.L.)

Artificial Inteligence 76

Artificial Inteligence Disruption Trends Software 76

Acuvate

DECEMBER 27, 2019

This goal seems achievable with massive advancements in automotive technology and big data. Acuvate helps a large waste management company leverage data and machine learning to improve the safety of drivers. Technologies used: Microsoft Azure Machine Learning. Microsoft SQL Azure. Microsoft Azure Data Factory.

Big Data 76

Big Data Data Artificial Inteligence How To 76

Jeffrey Phillips

MAY 22, 2017

His belief was that within 5 years algorithms and machine learning would mean that he would not need many, if any, humans to review patents. Wall Street is under attack as well from automation and machine learning. What does that leave for humans?

Artificial Inteligence 125

Artificial Inteligence Competition Creativity Software Review 125