Corporate Innovation

JANUARY 25, 2016

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. There is much less conversation about the fifth dimension.

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. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. There is much less conversation about the fifth dimension.

Big Data 58

Big Data Data System Artificial Inteligence 58

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. The Value Added By Big Data and AI.

Big Data 58

Big Data Data System Technology 58

Paul Hobcraft

APRIL 1, 2018

We are learning how to interact with a connected system as products move into products and digital, connected and combined. The new environment is one where the product needs to be always on, to be able to perform, to extract greater value by being part of a larger system of design. There is this need for a new language for innovation?

Learning 189

Learning Innovation Design Artificial Inteligence 189

mjvinnovation

MARCH 10, 2020

At the same time, insurers have also understood that they need a Big Data strategy for various purposes. Continue reading and understand how Big Data can help insurers avoid headaches and financial damage! What is Big Data. ” Real Time Big Data. ” Real Time Big Data.

Big Data 52

Big Data Data Strategy Strategy 52

Jeffrey Phillips

JULY 18, 2019

Sensors and IoT capabilities, which can gather data or receive data, along with some basic intelligence on the device. Given Moore's law we can assume that systems on a chip become exceptionally inexpensive, and the last major hurdles to lots and lots of smart connected devices are power and connectivity.

Change 164

Change Big Data Internet of things Data 164

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. The second view we always need to consider is a “System thinking” one. Systems thinking is a context for seeing wholes. I am a great enthusiast for working through the Three Horizon model.

Innovation 217

Innovation Design Thinking Design System 217

Idea to Value

SEPTEMBER 7, 2019

There’s a closer relationship between people, objects, devices, and the data we generate every day. However, adapting to this new environment doesn’t just mean investing in the latest hardware and software on the market. There’s more to Industry 4.0 than exploring the possibilities of blockchain or asking whether you’re ready for AI.

Industry 231

Industry Leadership Artificial Inteligence Training 231

Paul Hobcraft

JUNE 3, 2019

Much of our innovation work today is caught up in out-of-date information, poor and inadequate data, restricted research and limited market understanding. We need to ditch much of our existing innovation processes and practices, reliant on manual systems and so often trapped in silos of knowledge.

Innovation 208

Innovation Data Design Software 208

Planview

FEBRUARY 13, 2025

Traditionally, supply chains were linear and compartmentalized, heavily reliant on manual processes, paper-based documentation, and isolated systems. By leveraging advanced technologies, digital supply chains enhance efficiency, reduce costs, and improve responsiveness to market demands.

Artificial Inteligence 52

Artificial Inteligence Agile Software Big Data 52

Paul Hobcraft

OCTOBER 18, 2022

These barriers do not ‘magically’ change by delivering what I believe moves us to a better system for innovation, that of an ecosystem and platform architecture. In today’s world, nothing seemingly ‘stands still’, and organizations, business models and market approaches are in constant flux.

Innovation 162

Innovation Software Review Technical Review Creative Process 162

Acuvate

JANUARY 29, 2019

This is a key component in deriving the best possible return on investment done on marketing and trade promotional activities. A large majority of the companies are still dependent on Legacy Systems, Sales and Operations Planning (S&OP) applications, integrated Enterprise Resource Planning (ERP) and homegrown trade promotion solutions.

Artificial Inteligence 92

Artificial Inteligence Big Data Software Review Technical Review 92

Corporate Innovation

JANUARY 25, 2016

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. There is much less conversation about the fifth dimension.

Big Data 40

Big Data Data System Artificial Inteligence 40

Sopheon

APRIL 18, 2023

With over 30 years of experience, Mike Bauer is a product and strategy executive who has managed and overseen more than 100 products across data communication, enterprise software, connected products, the Internet of Things (IoT), marketing automation, embedded systems, and big data.

Trends 98

Trends Management Internet of things Big Data 98

Corporate Innovation

MAY 17, 2016

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Tesla has also hinted they may enter this market.

Big Data 40

Big Data Data Technical Review Meeting 40

Corporate Innovation

MAY 17, 2016

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Tesla has also hinted they may enter this market.

Big Data 40

Big Data Data Technical Review Meeting 40

Corporate Innovation

MAY 17, 2016

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Tesla has also hinted they may enter this market.

Big Data 40

Big Data Data Technical Review Meeting 40

Paul Hobcraft

NOVEMBER 29, 2019

To have any chance to reverse these temperature rises there is an increasing emphasis on innovation solutions within the technology that is required for the Worlds energy system. Artificial Intelligence and Big Data. View the opening introductions on the “ home page ” and scroll down. Behind-the-meter batteries.

Technology 162

Technology Report Innovation Artificial Inteligence 162

Paul Hobcraft

JULY 1, 2019

In the past century, we operated in mass production era, systems with standard goods and stable market conditions the ‘work done’ was equivalent to the ‘work to be done’, yet era has long gone but not our management mentality. The work to be done is how well it can adapt to change, how we can make these changes happen.

Innovation 164

Innovation System Disruption Change 164

Acuvate

MARCH 16, 2019

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of.

Artificial Inteligence 80

Artificial Inteligence Data Technical Review Big Data 80

Jeffrey Phillips

MAY 31, 2019

In my last post I tried to illustrate the importance (and the challenges) of data to digital transformation. This is often a complex and difficult idea for people to understand - why is "data" so hard? Why can't computer systems work more effectively? None of these things can be accomplished without data.

Data 129

Data Artificial Inteligence Innovation Big Data 129

Paul Hobcraft

MAY 9, 2023

Lean Startup: This approach was about creating a minimum viable product (MVP) and testing it in the market to get customer feedback. The idea is to iterate quickly, make improvements based on feedback, and continue to test until you have a product that meets the market’s needs.

Artificial Inteligence 182

Artificial Inteligence Technical Review Innovation Agile 182

Paul Hobcraft

OCTOBER 2, 2023

Data Visualization and Analytics : Data visualization tools enable designers to distil complex information into visual formats that are easy to understand. This supports Design Thinking by helping teams make sense of user data, market trends, and feedback, which can inform design decisions.

Design Thinking 147

Design Thinking Technical Review Design Technology 147

IdeaScale

NOVEMBER 8, 2018

If you take every product even companies most celebrated for innovation have ever taken to market, you won’t find a very high batting average of success. The models of cable subscriptions and broadcast advertising were steadily profitable, proven, and well-integrated in any number of systems.

Disruption 124

Disruption Video Big Data Industry 124

Jeffrey Phillips

JANUARY 9, 2020

There were financial applications, manufacturing applications and customer service applications but no unified, enterprise application that integrated systems and data across all the functions. SAP changed that, taking the market by storm and changing our expectations about software solutions and data integration.

Artificial Inteligence 134

Artificial Inteligence Data Tools System 134

Acuvate

JANUARY 16, 2019

We are all aware of the troves of data, retail businesses generate on a daily basis. However, this repository of critical data is worthless if it cannot be translated into valuable insights into the consumer’s minds or market trends. While all of the data is being generated and collected, it is not being used efficiently.

Industry 90

Industry Software Review Technical Review Big Data 90

Tullio Siragusa

JULY 25, 2022

Alex was astonished to find that only a few industries offered innovation compared to the pet markets in the U.S. The challenge for businesses is finding ways to make use of all this data to drive innovation. We learned in the Tech Backstage podcast how Alex uses Google Data Studio, for example.

Creativity 118

Creativity Data Technical Review Innovation 118

mjvinnovation

FEBRUARY 18, 2020

No matter what segment of the market your company operates in, marketing is experiencing a revolution right now. In this article, we will shed some light on the new roles of Marketing. Marketing far beyond customer attraction and retention. Marketing far beyond customer attraction and retention.

Marketing 52

Marketing Data Big Data Technology 52

mjvinnovation

MARCH 11, 2020

Is your company aligned with the new direction that the energy market is heading towards? Energy market: the future is knocking. The 5 technologies that will revolutionize the energy market in the coming years: 1- Blockchain. It will support the transformation of power distribution systems through. 4- Open Energy.

Artificial Inteligence 52

Artificial Inteligence Trends Marketing Internet of things 52

Leapfrogging

AUGUST 9, 2017

Microsoft charges for the software, while Google monetizes its data through advertising. Whether you call it Big Data, Little Data, or the Internet of Things, data remains data until it meets a business model. Just look at Microsoft and Google. Both make office applications – MS Office and Google Docs.

Disruption 133

Disruption Tools Strategy Strategy 133

hackerearth

JULY 19, 2018

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. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Knowledge: The ability to present knowledge about the world.

Artificial Inteligence 79

Artificial Inteligence Technical Review Software Review Big Data 79

Qmarkets

FEBRUARY 28, 2025

Companies that embed sustainability into their innovation strategies are not just reducing risk; they are unlocking new market opportunities, improving efficiency, and strengthening customer loyalty. To understand why sustainable innovation matters, we need to look at its impact from social, regulatory, and market perspectives.

Innovation 52

Innovation Trends Competition Strategy 52

ITONICS

JUNE 3, 2019

In this research project, ITONICS is actively involved in the development of an automated environmental scanning system for SMEs. Summary: Today, innovation management is an important instrument for companies to remain competitive and successful in rapidly changing markets.

Big Data 28

Big Data Innovation Management Data Artificial Inteligence 28

ITONICS

JUNE 3, 2019

In this research project, ITONICS is actively involved in the development of an automated environmental scanning system for SMEs. Summary: Today, innovation management is an important instrument for companies to remain competitive and successful in rapidly changing markets.

Big Data 28

Big Data Innovation Management Data Artificial Inteligence 28

Paul Hobcraft

SEPTEMBER 27, 2017

They are not yet tuned into those more integrated systems of collaboration, where platforms and ecosystems are critical to making improved progress, advanced by multiple contributions to the discovery and exploration stages, where there is a new potential force of collaborative breakthroughs. The parts are not digitally connected-up.

Artificial Inteligence 138

Artificial Inteligence Collaboration Technical Review Industry 138

Paul Hobcraft

MAY 6, 2018

The unique combining of the cloud, big data, social streaming, the internet of things, mobility, the industrial internet, are all making this the time for new growth opportunities through this digital economy and the radical overhaul of the activities to realize the benefits. Where is innovation within this?

Design 138

Design Innovation Agile Collaboration 138

Anaqua

AUGUST 5, 2020

In the age of big data and new technology, companies are increasingly relying on intangible assets such as intellectual property, data and algorithms to drive their brand value. There’s also the issue of scope—in the US, which is a first-to-use system, practitioners file trademark applications that are very limited in scope.

Big Data 92

Big Data Marketing Strategy Strategy 92