Paul Hobcraft

MAY 7, 2024

Harnessing the Power of Data and Analytics: The rise of big data and analytics has transformed innovation by providing unprecedented insights into customer behaviour, market trends, and competitive landscapes. This collaborative approach taps into external expertise, reduces development costs, and accelerates innovation cycles.

Artificial Inteligence 148

Artificial Inteligence Collaboration Ideation Innovation 148

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. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

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. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

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. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

Big Data 40

Big Data Data Technical Review Meeting 40

Acuvate

FEBRUARY 11, 2022

The automotive industry is on the brink of significant technological disruption. Underpinning Industry 4.0 Now, as the automotive industry carefully navigates the road to recovery, industry leaders are signaling the onset of the new normal, heralding in digital transformation at an unparalleled speed.

Industry 52

Industry Artificial Inteligence Analysis Data 52

IdeaScale

MARCH 17, 2020

The modern economy is data-driven. Companies are able to disrupt entire industries because of their focus on acquiring as much data as possible and putting it into action. As Goutier explains, it’s important to understand data to use it. How Emerging Trends Drive Innovation. Future Projects.

Creativity 173

Creativity Data Big Data Innovation 173

mjvinnovation

MARCH 12, 2020

Keep reading to understand what Industry 4.0 Industry 4.0: Also called the Fourth Industrial Revolution, Industry 4.0 refers to the phenomenon of adopting innovative tools, resources and technological services to optimize the management of the most varied industrial aspects. Industry 4.0: Industry 4.0:

Industry 52

Industry Change Artificial Inteligence How To 52

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

IdeaScale

APRIL 5, 2017

The life science industry is close to a significant transformation. Digital capabilities and big data is transforming everything from discovery to commercialization. In the same survey they are reported to be more worried than CEOs of other sectors about disruption to their Industry.

Industry 71

Industry Big Data Data Survey 71

David Marks

APRIL 11, 2017

Disruptive technologies and upstarts are wrecking havoc far and wide, they warned, and (unless you hire us) you will be the next to go. Banks, the mightiest industry said to be in peril, seem to have weathered the storm fairly well. The best way to express this is with the rebel within’s disruptibility curve.

Disruption 75

Disruption Company Technical Review Comparison 75

Ecosystems4Innovating

MARCH 21, 2024

There are these higher risks of disruption happening today across all industry sectors. Digital transformation, big data analysis and the ubiquity of information are changing the knowledge game. Industry lines and conventions are blurring and merging through the need for technology and overhaul.

Collaboration 52

Collaboration Competition Big Data Technology 52

Daniel Burrus

JUNE 8, 2022

In the early years of the Internet, and leading up to the days of mobile devices, collecting and analyzing data was a slow process. Information had to be stored somewhere, and companies often outsourced this storage to remote servers for later review. How does this concept of convergence relate to data collection and processing?

Data 76

Data Technical Review Software Review Disruption 76

Paul Hobcraft

MARCH 27, 2018

These are big data analytics, the fast adoption of new technologies, mobile products and capabilities and digital design.See the above for the complete list on where innovation is heading, it makes interesting viewing. It does seem we all need to pursue disruptive and radical innovation designs.

Innovation 186

Innovation Radical Innovation Design Big Data 186

Jeffrey Phillips

JUNE 5, 2018

The new game, as demonstrated by a number of emerging disrupters, is captured in the book Unscaled and discussed at length in this nice blog post - one I wish I could have written. I'll leave it to others to explain what this all means for startups, because how you look at an industry and where you find value will vary enormously.

Agile 134

Agile Disruption Big Data Competition 134

Corporate Innovation

AUGUST 31, 2015

In a previous post I wrote about the disruptive innovations that have been introduced by Tesla Motors (Tesla) and Uber and presented the steps the automotive industry should be taking in order to address the startup-driven disruption. The industry requires high investment and ability to scale while maintaining low risk.

Disruption 53

Disruption Data Innovation Industry 53

Corporate Innovation

AUGUST 31, 2015

In a previous post I wrote about the disruptive innovations that have been introduced by Tesla Motors (Tesla) and Uber and presented the steps the automotive industry should be taking in order to address the startup-driven disruption. The industry requires high investment and ability to scale while maintaining low risk.

Disruption 53

Disruption Data Innovation Industry 53

David Marks

APRIL 11, 2017

Disruptive technologies and upstarts are wrecking havoc far and wide, they warned, and (unless you hire us) you will be the next to go. Banks, the mightiest industry said to be in peril, seem to have weathered the storm fairly well. The best way to express this is with the rebel within’s disruptibility curve.

Disruption 40

Disruption Company Technical Review Comparison 40

mjvinnovation

AUGUST 6, 2020

As with most disruption, those who do not adapt will die. UX, DevOps, Blockchain, Data Science, IoT, RPA, Data Lake, and Big Data are just a few examples of technologies that will provide: Systemic availability. Open Banking is a game-changer that alters the entire configuration of the banking sector. Follow along!

Change 52

Change Industry Agile Data 52

Steve Blank

JUNE 23, 2016

In the 21 st century it’s harder for large corporations to create disruptive breakthroughs. Disruptive innovations are coming from startups – Telsa for automobiles, Uber for taxis, Airbnb for hotel rentals, Netflix for video rentals and Facebook for media. Over the last decade, Intel missed two important disruptive trends.

Disruption 51

Disruption Company Big Data Innovation 51

Cris Beswick

APRIL 16, 2024

I’ll unpack the core principles of ‘Leading FOR Innovation’ and share approaches to help overcome the organisational antibodies that often stifle innovation, empowering teams to unleash bold ideas that can reshape your industry’s future. Horizon 1 activity has lower risk but also lower return.

Innovation 59

Innovation Culture Creativity Disruption 59

ITONICS

JULY 30, 2018

A strategic innovation field, let’s call it “ opportunity space ”, can be found by connecting all the dots between bits of diverse information you already know and put them together in a way that breaks a pattern. In addition to transforming a whole industry, disruptive business models also push and promote paradigm changes.

Underperforming Technical Team 40

Underperforming Technical Team Disruption Innovation Big Data 40

Tim Kastelle

MARCH 13, 2016

But incumbents would be willing to make changes if a new technology proves to be truly disruptive and the long-term benefits are worth it. Most companies will continue to favor a “safer” approach in the time ahead, even while facing disruption. Digital Transformation. Even fewer are actually investing in them. (…).

Innovation Management 100

Innovation Management Management Underperforming Technical Team Big Data 100

mjvinnovation

DECEMBER 1, 2020

The new technologies that emerged from this discovery made the Industrial Revolution possible – it changed the current way of life. 2- The others are organizations that assume Big Data is the way, believing they need advanced technology and colossal amounts of data to generate results. The reason? Golden rule.

Data 45

Data Analysis Big Data Tips 45

Faisal Hoque

FEBRUARY 24, 2021

Labeled the “ Fourth Industrial Revolution (4IR) ,” emerging technologies and their interaction with one another are upending how we work, play, educate and govern ourselves. But the Fourth Industrial Revolution is by no means the sole driver of worldwide change. This tsunami of change and disruption carries enormous consequences.

Leadership 52

Leadership Change Artificial Inteligence Disruption 52

Faisal Hoque

FEBRUARY 24, 2021

Labeled the “ Fourth Industrial Revolution (4IR) ,” emerging technologies and their interaction with one another are upending how we work, play, educate and govern ourselves. But the Fourth Industrial Revolution is by no means the sole driver of worldwide change. This tsunami of change and disruption carries enormous consequences.

Leadership 52

Leadership Change Artificial Inteligence Disruption 52

Daniel Burrus

OCTOBER 21, 2015

Data analytics is the science of extracting patterns, trends, and actionable information from large sets of data. Think of business intelligence as the ways in which companies use data to improve their management and operations.

Data 40

Data Company Big Data Internet of things 40

eZassi

MARCH 28, 2019

Innovation solutions can also be particular to the innovation industry, which is tasked with partnering with companies to create a culture of innovation and help develop meaningful innovations. Keep reading for a list of innovation solutions and information on how that can be used. What are Innovation Solutions?

Software Review 45

Software Review Underperforming Technical Team Software Technical Review 45

Corporate Innovation

APRIL 25, 2017

In my book, The Big Data Opportunity in Our Driverless Future , I make two arguments: 1) that societal and urban challenges are accelerating the adoption of on-demand mobility, and 2) technology advances, including big data and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality.

Big Data 45

Big Data Data Technical Review System 45

mjvinnovation

APRIL 29, 2019

The emerging term in the insurance industry, Open Insurance basically refers to providing services and data to partners, communities and startups, in order to create new services, applications and innovative/disruptive business models. How open API is revolutionizing financial and insurance industry?

Artificial Inteligence 40

Artificial Inteligence Open Innovation Data Analysis 40

mjvinnovation

JUNE 25, 2019

And see how to use the data that already exists within your company to create innovative business models! It refers to the rapid leap in information technology, from analog to digital. . Big data is the perfect tool to get a view of your customers. The Digital Revolution. Take, for example, customer buying patterns.

Data 40

Data Company Artificial Inteligence Big Data 40

Paul Hobcraft

JUNE 3, 2019

We all see around us increasing disruption caused by digitalization. Much of our innovation work today is caught up in out-of-date information, poor and inadequate data, restricted research and limited market understanding. Imagine how Airbnb crunches data and learns trends, demand and destination needs.

Data 208

Data Innovation Design Marketing 208

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 25, 2019

The strength of this wave lies in the use of emerging technologies such as Big Data and Artificial Intelligence to optimize the consumer experience and fill gaps in the financial system. Also the big techs, tech giants, are eyeing the financial industry and dare threaten the banks’ hegemony. What is Open Banking.

Artificial Inteligence 40

Artificial Inteligence Data Strategy Strategy 40

Paul Hobcraft

MAY 6, 2018

The 3H informs the decisions to be taken, by recognizing their importance to the future and ‘frame’ resource allocation, identify current capability gaps to resolve. I would argue this fits within a constellation of partners all working towards delivering innovation that is highly valuable, radical, disruptive and distinctive.

Design 138

Design Innovation Agile System 138

Integrative Innovation

JANUARY 27, 2016

Accelerating dynamics and pace of disruption in most industries, in particular triggered by the pervasion of new technologies, lead to decreasing life times of existing business models. Enabled by the accelerating pace of digitalization, a new model for value creation is taking shape – spreading in almost any industry.

Underperforming Technical Team 40

Underperforming Technical Team Big Data Innovation Technical Review 40

Legacy Innovation Group

APRIL 1, 2019

What we are talking about is the accelerating progression of eras anchored by their characteristic industrial revolutions. The First Industrial Revolution occurred in roughly two stages. It was the beginning of the Information Age. It all started around 1760, and will end somewhere around 2050.

Industry 40

Industry Artificial Inteligence Technology Big Data 40

Paul Hobcraft

DECEMBER 2, 2016

The Business Model seems to have a reduced shelf life, we are witnessing more disruption and transformation of existing formats. This is stretching many organizations in their beliefs, challenging their existing operating systems and pushing the abilities to transform in ways that minimize disruption.

Technical Review 100

Technical Review Innovation Collaboration Software Review 100