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. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

Big Data 53

Big Data Data Strategy Strategy 53

Paul Hobcraft

JUNE 3, 2019

The powerful effects of digitalization are opening up different business opportunities, the chance to design different business models and get far closer to the ultimate need, to understand the customers wishes from the products and services they are wanting to buy. We all see around us increasing disruption caused by digitalization.

Innovation 208

Innovation Data Design Software 208

Paul Hobcraft

OCTOBER 18, 2022

In some recent posts, I argued that we need to adopt a broader innovation ecosystem thinking and design. Still, barriers do need to be consciously built into any new thinking as ones “to be resolved” in any new solution design. They need a more fluid, highly adaptive design. Let me outline many of these here.

Innovation 162

Innovation Software Review Technical Review Creative Process 162

Destination Innovation

JULY 13, 2016

Design Competitions. You can host your competition and build your brand while simultaneously getting a host of free input. Data Collection. is a great way to handle big data without a big price tag. You choose a winner, implement and test the design, and save time and money. Programming.

Crowdsourcing 100

Crowdsourcing Competition Big Data Design 100

Idea to Value

JULY 1, 2020

In a competitive context, incompetence does not allow the mediocre to stay afloat for long and meritocracy is valuable and fair. Designers of performance management systems have many tools in their arsenal to make the judgement as “right” and as “fair” as possible.

Big Data 149

Big Data Report LEAN Innovation 149

Leapfrogging

AUGUST 9, 2017

Why is creating competitive differentiation increasingly difficult? 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. Change the economics.

Disruption 133

Disruption Tools Strategy Strategy 133

Planview

FEBRUARY 13, 2025

This integration facilitates the management and optimization of supply chain activitiesfrom the initial design and development of automotive components to manufacturing, distribution, and final delivery to the customer.

Artificial Inteligence 52

Artificial Inteligence Agile Software Big Data 52

Qmarkets

FEBRUARY 28, 2025

This requires profoundly rethinking how we produce, consume, and live within the limits of our planet (source: McKinsey ) Businesses that embrace this mindset are moving beyond short-term profits and designing solutions that ensure long-term success. Businesses that act now can gain a competitive edge while future-proofing their operations.

Innovation 52

Innovation Trends Competition Strategy 52

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. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

Big Data 40

Big Data Data Strategy Strategy 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. Consider Nissan’s work in designing the NY taxis.

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. Consider Nissan’s work in designing the NY taxis.

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. Consider Nissan’s work in designing the NY taxis.

Big Data 40

Big Data Data Technical Review Meeting 40

Tullio Siragusa

FEBRUARY 13, 2023

However, the advertising and communications industry is highly competitive and faced with a threat from self-service technology companies such as Marketo, Pardot, Hubspot, Persado, Ayboll, Shopify, Magento, BigCommerce, Hootsuite, Buffer and Sprout Social.

Artificial Inteligence 118

Artificial Inteligence Company Trends Competition 118

Paul Hobcraft

APRIL 19, 2017

The intention of this report was to provide data for orientation for people dealing with this difficult topic, it was an attempted to extract a selection of the best emerging practices or thinking of the what, how and why digital transformation needs to be top of every business person’s mind.

Report 168

Report Technology Engagement Data 168

Paul Hobcraft

SEPTEMBER 27, 2017

They are not yet at the point of being digitally effective to turn what they have into real competitive advantage as they lack the capabilities in big data analysis and those algorithms that reveal ground-breaking innovations, Are they hanging on in the belief they will become digitally transformed eventually or just deluding themselves?

Artificial Inteligence 138

Artificial Inteligence Collaboration Technical Review Industry 138

mjvinnovation

SEPTEMBER 22, 2020

In this article, we will explain how Design can provide a differentiated experience for your customers. This is because the competition is always evolving and improving their services and products. The competition for consumer attention has just begun. This is the context that makes UX Design even more popular.

Design 59

Design Artificial Inteligence Technical Review Big Data 59

Paul Hobcraft

FEBRUARY 18, 2019

They suffer high costs, aging workforces, very high social costs in most of their current ecosystems, designed for the 20th century. I, for one, do not think any completing of a single market as being pursued in Brussels will make Europe competitive. In addition, data security is seen as inhibiting data-driven innovation (30 percent).

Innovation 178

Innovation Artificial Inteligence Technical Review Report 178

Paul Hobcraft

JANUARY 14, 2016

They are positioning themselves on a mission to find the right remedy for designing future growth engines by wanting to fill that gap by creating a set of tools for business strategy, business design and innovation. Big Data for instance scores a 4.22 Each one of them focuses on solving a specific business problem.

Tools 100

Tools Innovation Management Management Underperforming Technical Team 100

Imaginatik

SEPTEMBER 2, 2016

Changes in these logics mean that the ‘same old, same old’ ways of doing business no longer works with the blunt reality that lots of businesses are optimized for a competitive world that no longer exists. Transformation, at its core, reflects changes in the economic, technology and behavioral logics of an industry. Transformation: 1.

Meeting 100

Meeting Innovation Big Data Competition 100

Paul Hobcraft

AUGUST 26, 2015

We need to address this incompatibility, we need to integrate and harness the innovation management system and bring it completely up to date and integrated in design and function. This merging of cloud, big data, social, and the internet of things is becoming the new system of discovery according to some.

Technical Review 100

Technical Review Technology Innovation Internet of things 100

Acuvate

JUNE 28, 2019

Although the concept of cloud technology isn’t new, it’s quickly become a valuable tool for organizations of all sizes in every industry, with data pointing to business efficiencies, cost benefits, and competitive advantage. . 4 Big Data. Today’s society generates massive amounts of data. Marie Johnson.

Technology 89

Technology Artificial Inteligence Big Data Data 89

Tim Kastelle

MARCH 13, 2016

BCG comments: (…) it appears that even within the technology sector, many companies are not getting the message; on average, only about a third of executives project big data and mobile will have a significant impact on innovation in their industries over the next three to five years.

Innovation Management 100

Innovation Management Underperforming Technical Team Management Innovation 100

Tullio Siragusa

JULY 25, 2022

For some, it may be through hard work and determination, while others may find success through innovation with creativity, data, and automation. No matter what your path is, it’s important to stay up to date on the latest trends and technologies to stay ahead of the competition. Clearly, there is room for improvement! “By

Creativity 118

Creativity Data Technical Review Innovation 118

mjvinnovation

JULY 13, 2021

These two terms were designed to explain the turmoil of their time, from a post-cold war world to the coronavirus pandemic. Companies that don’t innovate and rely only on “proven” methods of doing things often find themselves behind the competition and can’t adapt quickly enough to changes in their environment.

Change 105

Change Artificial Inteligence Company Big Data 105

mjvinnovation

JANUARY 3, 2019

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. Big Data: data analysis is what really matters. Did you like it?

Design Thinking 40

Design Thinking Design Case Study Analysis 40

mjvinnovation

JANUARY 3, 2019

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. Big Data: data analysis is what really matters.

Design Thinking 40

Design Thinking Design Analysis Case Study 40

Acuvate

NOVEMBER 28, 2019

Using Big Data and Advanced Analytics. Retailers and CPG companies capture torrential amounts of data from transactions and also have access to a wide array of information from the media. Big Data and advanced analytics opens the floodgates of opportunities for CPG companies to use data to their benefit.

Trends 72

Trends Industry Big Data Technical Review 72

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

Paul Hobcraft

DECEMBER 2, 2016

We will see a significant acceleration of more innovation ecosystems, we are increasingly recognizing all the different collaborative tools increasingly at our disposal, we are exploring both platforms and forming ecosystems to radically alter the competitive edge previously seen to reside inside the single company. It needs a base.

Innovation 100

Innovation Technical Review Collaboration Software Review 100

Anaqua

NOVEMBER 27, 2019

Our IP management software and services enable corporations to gain true competitive advantage from their IP assets, while helping IP law firms to distinguish their IP practices and create a competitive edge. We call it The Business IP Platform.

Roadmap 80

Roadmap Software Product Development Big Data 80

Paul Hobcraft

NOVEMBER 22, 2015

The need for ecosystems, platforms, the greater use of analytics, big data and reliance on technology. Also innovation itself is going through really a massive change. The external innovation consultant needs to change. I want to participate in far more scaling, proving and validating.

Innovation 60

Innovation Technical Review Collaboration Leadership 60

Acuvate

MARCH 12, 2019

We currently live in an era where data is the oil that drives businesses of all sizes. Having data insights gives organizations a competitive edge and helps make well-informed decisions. Businesses today aggregate large sums of data involving customer profiles, sales and marketing statistics, financial metrics etc.

Culture 76

Culture Artificial Inteligence Data Big Data 76

mjvinnovation

NOVEMBER 26, 2020

To understand more about what happens (and can happen) with the Logistics and Supply Chain area, let’s share some insights from our Future Design and Anticipatory Innovation team. We are moving towards the end of feudal competitions. Logistics and Supply Chain: what the post-pandemic designs em MJV Technology & Innovation.

Design 52

Design Technical Review Industry Artificial Inteligence 52

Gregg Fraley

AUGUST 1, 2018

It’s designed to uncover unlikely, but useful, combinations of technologies, products, services, trends, and insights that lead to breakthrough innovation. Seeking combinations and applications where other aren’t looking is how competitive advantage is created. Data Analytics. Artificial Intelligence. Augmented Reality.

Technology 50

Technology Ideation Internet of things Brainstorming 50

mjvinnovation

MARCH 11, 2020

We need to rethink the business model to be competitive. Their analytical power comes from using Big Data and Machine Learning to design the best scenarios, manage risk, and elevate decision making to the next level of efficiency. Let’s design an action plan for your company to adopt the best tech-innovation solutions?

Artificial Inteligence 52

Artificial Inteligence Trends Marketing Internet of things 52

Acuvate

APRIL 12, 2023

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. They are improving the manufacturing landscape by facilitating data-driven decision-making, increasing productivity, and reducing costs through sensors, embedded software, and robotics.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

Acuvate

APRIL 12, 2023

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. They are improving the manufacturing landscape by facilitating data-driven decision-making, increasing productivity, and reducing costs through sensors, embedded software, and robotics.

Data 52

Data Artificial Inteligence Technical Review Big Data 52