Daniel Burrus

JUNE 8, 2022

Data has quickly become as valuable as gold to many businesses and organizations, especially with how many products and services have evolved to be more digital than not. In the early years of the Internet, and leading up to the days of mobile devices, collecting and analyzing data was a slow process. By way of Edge Computing!

Data 76

Data Technical Review Software Review Disruption 76

mjvinnovation

DECEMBER 1, 2020

Let’s start with a strong statement: Data is inevitable. We woke up, and suddenly everything was generating data, and the race for advanced analysis had started well before that. And since it advances a little every day, it continuously breaks the market. The reason, or rather the facilitator of all this, is data!

Data 45

Data Analysis Big Data Tips 45

Paul Hobcraft

MAY 9, 2023

In frameworks and mechanisms , my favourite has always been the three horizons , followed by ideation platforms and contests, innovation centres, labs and accelerations, ambidextrous growth ( explore and exploit ), taking principles of disruptive innovation and staged and venture funding approaches.

Artificial Inteligence 182

Artificial Inteligence Technical Review Agile Innovation 182

mjvinnovation

APRIL 15, 2019

In the coming weeks, we will post a series of posts here on the blog, where we will explain the details of the transformations guided by the new Data Age – which still faces a lot of different organizations. The Data Revolution: Which side do you want to stay in? The Data Revolution: Which side do you want to stay in?

Data 66

Data Artificial Inteligence Internet of things Analysis 66

mjvinnovation

JUNE 25, 2019

Developments that until recently seemed well consolidated are now modifying their performance in the market through data science. And see how to use the data that already exists within your company to create innovative business models! Digital Transformation and the new business data models.

Data 40

Data Company Artificial Inteligence Big Data 40

Acuvate

NOVEMBER 28, 2019

In the past decade, the way people shop and engage with CPG brands has undergone an unprecedented change in the market. With the rise in consumer awareness, CPG companies have broken out of conventional market strategies and adopted disruptive methods to capture business. Using Big Data and Advanced Analytics.

Trends 72

Trends Industry Big Data Technical Review 72

IdeaScale

NOVEMBER 8, 2018

Disruptive or incremental innovation? The former is disruptive innovation and although rare, it can happen, while the latter is incremental innovation. And how do you balance the two to find the next big thing in your industry? Disruptive Innovation. The first is that there’s no disruptive innovation without it.

Disruption 124

Disruption Video Big Data Industry 124

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. The need for speed has become paramount in responding to market changes.

Data 208

Data Innovation Design Marketing 208

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

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. Don't try to solve everything, but select key opportunities and markets to experiment with new models, new processes and test new scaling experiments.

Agile 134

Agile Disruption Big Data Competition 134

The Inovo Group

NOVEMBER 6, 2017

There is not much written in this article that hasn’t been written about numerous times before, but it does provide a concise summary of many of the issues large companies face and some of the reasons they are not good at disruptive innovation. A deeper and more thought out exploration of this question would have been welcome.

Disruption 40

Disruption Company How To Big Data 40

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 185

Innovation Radical Innovation Design Big Data 185

Yet2

APRIL 28, 2020

It has the characteristic of having high market impact making short-term and long-term consequences that are difficult to measure. What is needed is stronger predictive models that can absorb large amounts of data to pick up trends early and smooth the curves to create the best picture of what people want and need.

Meeting 64

Meeting Artificial Inteligence Technical Review Underperforming Technical Team 64

Paul Hobcraft

SEPTEMBER 15, 2017

We need to consider how big data and analytics, technology and a far more creative thinking needs to be applied collectively but in greater constellations of partners. I would argue this fits within a constellation of partners all working towards delivering innovation that is highly valuable, radical, disruptive and distinctive.

Design 232

Design Technical Review Innovation System 232

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

mjvinnovation

SEPTEMBER 23, 2020

The situation changed in the 2010s, with the development of IoT, Artificial Intelligence, Big Data, and Cloud Computing. First, smart components that use sensors to collect real-time data on status, working conditions, and position are integrated into a physical item. So, what is this technology? Process twins.

Technical Review 52

Technical Review Technology Artificial Inteligence Internet of things 52

Paul Hobcraft

JANUARY 14, 2016

The problem we are having, many of the traditional tools, many still taught in most management schools are lagging the changing market we are operating in. Presently the highest rated tool is Big Data Analytics; more than half of surveyed executives say that Advanced Analytics are transforming their marketing strategy.

Tools 100

Tools Management Innovation Management Underperforming Technical Team 100

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. Even fewer are actually investing in them. (…).

Innovation Management 100

Innovation Management Management Underperforming Technical Team Big Data 100

Cris Beswick

APRIL 16, 2024

It also facilitates data-driven decisions on where to focus efforts to remove the most crucial blockers. Leaders who champion innovation understand its role in driving competitive advantage, increasing market share, and, often, creating entirely new markets. Horizon 1 activity has lower risk but also lower return.

Innovation 59

Innovation Culture Creativity Disruption 59

Imaginatik

JANUARY 25, 2018

Digital transformation is a global phenomenon and a universal disruption, changing every industry and every sector. This article provides a great insight into how the advances in the IoT, Big Data, Cloud Computing, and AI can be linked to major innovative disruptions in our healthcare services, manufacturing, and oil and gas industries.

Artificial Inteligence 113

Artificial Inteligence Innovation Disruption Big Data 113

hackerearth

NOVEMBER 20, 2017

“Open innovation is the use of purposive inflows and outflows of knowledge to accelerate internal innovation, and expand the markets for external use of innovation, respectively. The collaboration for data-driven products is expected to deliver over one billion euros in annual client benefits by 2022.

Open Innovation 91

Open Innovation Company Crowdsourcing Innovation 91

Jeffrey Phillips

MAY 15, 2017

This will take time but it will happen if the markets are there. The combinations of big data, real time analytics, sensors, on board processing, all linked to a very responsive processor connected to the engine and drive train will provide a safe and simple journey. First, where's the past data to build models on?

Innovation 125

Innovation Data Disruption Big Data 125

ITONICS

JULY 30, 2018

Disruptive technologies or innovations boost new business models that change the game of existing industries like the space industry (SpaceX), the music industry (Spotify), the film industry (Netflix) or the banking sector (FinTechs), just to name a few. Is there a pattern for disruption & breakthroughs?

Underperforming Technical Team 40

Underperforming Technical Team Disruption Innovation Big Data 40

mjvinnovation

JANUARY 29, 2021

The concept was widely spread by Clayton Christensen, a professor at the Harvard School of Business, and is considered the father of disruptive innovation. Understanding the market and the competition. Focusing marketing and sales strategies. Increasing the chances of success in implementing something new in the market.

Design Thinking 52

Design Thinking Data Strategy Strategy 52

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

Acuvate

FEBRUARY 24, 2019

The modern CIO is tasked with creating business value with technology, developing innovative solutions, driving implementation of new and emerging technologies, adopting AI, taking on cloud transitioning for the enterprise, addressing big-data challenges, and more. Technology changes (or rather evolves) at a disruptive pace today.

Technical Review 72

Technical Review Artificial Inteligence Data Big Data 72

mjvinnovation

NOVEMBER 26, 2020

The biggest question in the logistics and supply chain areas is that it is much cheaper for the market to return to the model we were before: 30% of the world produced everything in China to lower operation costs. It can promote the disruptions necessary for businesses to take the lead in their market and even create new markets to lead.

Design 52

Design Technical Review Data Industry 52

Paul Hobcraft

APRIL 19, 2017

The report offered a selection of key visuals and overviews from 14 reports, which in turn were shortlisted from an original data set of 140 reports on the topic, ones published over the course of the last few years, that from my research, I found the most valuable. We need to become comfortable in the analytics of big data.

Report 168

Report Technology Engagement Data 168

Acuvate

FEBRUARY 11, 2022

The automotive industry is on the brink of significant technological disruption. and the next-gen of mobility is the rapid emergence of artificial intelligence, intelligent automation, predictive analytics, and Big Data – delivering real-time insights to enable powerful innovation and transform the way automotive companies operate.

Industry 52

Industry Artificial Inteligence Analysis Data 52

mjvinnovation

MARCH 12, 2020

Four major forces push the “fourth industrial revolution,” according to several experts: Surprising growth in data volume (Big Data); Emergence of tools, resources and methods for data analysis; The innovative possibilities of human-machine interaction; And the enhancements of the transfer of digital instructions to the physical world.

Industry 52

Industry Change Artificial Inteligence How To 52

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.

Innovation 164

Innovation System Change Disruption 164

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. What is Open Insurance? What is the relationship between Open Insurance and Open Innovation?

Artificial Inteligence 40

Artificial Inteligence Open Innovation Data Analysis 40

mjvinnovation

SEPTEMBER 24, 2020

It is no coincidence that the financial market, banks specifically, are among the most innovative. The disruptive initiatives that have emerged with external partnerships have kept this sector at the peak of global Innovation. . Market conditions for financial service providers are changing more and more rapidly.

Open Innovation 40

Open Innovation Artificial Inteligence Technical Review Innovation 40

mjvinnovation

AUGUST 6, 2020

We have no way of answering that question, but we know that the truth is this: the rules of the financial market are changing, and it’s no surprise. As with most disruption, those who do not adapt will die. The market is increasingly moving towards a breakdown of the company, focusing on relationship niches. Follow along!

Change 52

Change Industry Agile Data 52

Paul Hobcraft

AUGUST 26, 2015

It is highly reliant on manual systems with people often disconnected from the real innovation engagement making decisions on inadequate data or insights. This merging of cloud, big data, social, and the internet of things is becoming the new system of discovery according to some. Mashing up for explosive change.

Technical Review 100

Technical Review Technology Internet of things Innovation 100

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