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. The new technologies that emerged from this discovery made the Industrial Revolution possible – it changed the current way of life.

Data 45

Data Analysis Big Data Tips 45

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

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. We have already mentioned the importance of the cycle of Run the Bank to Change of Bank and how urgent it is to monitor these transitions to remain competitive. Follow along!

Change 52

Change Industry Agile Data 52

Paul Hobcraft

MAY 9, 2023

” With the argument, we need to change the innovation narrative and significantly update the innovation approach and processes to meet today’s and tomorrow’s business challenges. The idea is to respond quickly to changing requirements and customer needs and continuously improve the product.

Artificial Inteligence 182

Artificial Inteligence Technical Review Agile Innovation 182

Paul Hobcraft

MARCH 27, 2018

We are in the middle of it, some of you may not have noticed its impact and change but it is significant on the understanding of innovation, in it’s future design. Often this era of change is not as well-recognized or being faced up to, as you would expect. It will fundamentally change the type of resources innovation requires.

Innovation 185

Innovation Radical Innovation Design Big Data 185

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

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

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. The Digital Revolution.

Data 40

Data Company Artificial Inteligence Big Data 40

Paul Hobcraft

SEPTEMBER 15, 2017

We have seen a consistent change over the years to move towards a more inventive engineering and discovery mindset within our innovation approaches. Through a blend of pattern recognition, predictive analytics and exploring cognitive computing we can change much with innovation. Accelerating the inventiveness within us all.

Design 232

Design Technical Review Innovation System 232

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

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. Enhancing products and offering a superior customer experience have been prime movers of CPG companies as customer demands are fast-changing. Using Big Data and Advanced Analytics.

Trends 72

Trends Industry Big Data Technical Review 72

Daniel Burrus

MAY 9, 2018

and the vast quantity of data that China is capable of generating on a daily basis, has many wondering if the U.S. Data is the fuel that feeds A.I. The more data you have, the more A.I. Most feel it’s all about the quantity of data. The value and quality of data being used by A.I. can learn and adapt.

Artificial Inteligence 44

Artificial Inteligence Data Internet of things Analysis 44

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. With apologies for the use of a tired phrase, there is a new game in town and it will dramatically impact how, why and where you do innovation work.

Agile 134

Agile Disruption Big Data Competition 134

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

Imaginatik

JANUARY 25, 2018

As we head on in to the 2 nd month of the year, this post highlights recent articles on hot topics that are shaping and changing the future not only of innovation and the tech space, but of our lives. Digital transformation is a global phenomenon and a universal disruption, changing every industry and every sector.

Artificial Inteligence 113

Artificial Inteligence Innovation Disruption Big Data 113

Yet2

APRIL 28, 2020

No matter who you ask, the COVID-19 pandemic has materially changed our daily lives. 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. The organization also hosts forum on supply chain innovation.

Meeting 64

Meeting Artificial Inteligence Technical Review Underperforming Technical Team 64

Daniel Burrus

MARCH 6, 2019

Big Data and Analytics. allows for streamlining, collecting and comprehending data from many different sources, including networked sensors, production equipment, and customer-management systems, improving real-time decision making. Universal data-integration networks in Industry 4.0 Industry 4.0

Industry 71

Industry Artificial Inteligence Internet of things Big Data 71

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. Finally when Bain conducts this survey they gather the opinions on a range of business issues and report the changing management priorities. Big Data for instance scores a 4.22

Tools 100

Tools Management Innovation Management Underperforming Technical Team 100

Cris Beswick

APRIL 16, 2024

However, for every Steve Jobs or Elon Musk who has famously steered their companies through the maelstrom of change, countless unsung leaders, often within the more traditional corporate structures, want to cultivate the culture that innovation requires within their organisation. It’s for those that I write this article!

Innovation 59

Innovation Culture Creativity Disruption 59

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?

Technical Review 52

Technical Review Technology Artificial Inteligence Internet of things 52

Jeffrey Phillips

MAY 15, 2017

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. And this is a dilemma that innovators always face - they must work within the existing infrastructure and compatibility or disrupt it.

Innovation 125

Innovation Data Disruption Big Data 125

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

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

BPI Thought Leadership Commentary

APRIL 13, 2016

Organizations have to keep pace with the opportunities and threats created by growing customer demands and disruptive changes such as big data and the internet of things. This means t.

Agile 40

Agile Internet of things Big Data Disruption 40

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. Mashing up for explosive change. 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 Internet of things Innovation 100

Paul Hobcraft

MAY 6, 2018

I would argue this fits within a constellation of partners all working towards delivering innovation that is highly valuable, radical, disruptive and distinctive. These help us to figure out what is changing. Today there is a relentless pace; we are facing a relentless change occurring.

Design 138

Design Innovation Agile System 138

Acuvate

FEBRUARY 24, 2019

Gartner’s latest survey reveals that 95% of CIOs expect their jobs to change or be remixed due to digitalization and technology influx. Technology changes (or rather evolves) at a disruptive pace today. A lot has changed, and a lot more will in the near future. Data and analytics will be top priorities.

Technical Review 72

Technical Review Artificial Inteligence Data Big Data 72

Acuvate

JUNE 5, 2022

In today’s highly disruptive and digital-driven world, governments and public sector institutions at all levels are leveraging newfound opportunities to use data and emerging technologies to empower citizens and build more transparent, efficient, agile, and cost-effective services and programs. The result?

Artificial Inteligence 52

Artificial Inteligence Data Agile Survey 52

Daniel Burrus

SEPTEMBER 20, 2016

There is no shortage of buzzwords around meeting rooms or office water coolers such as the Internet of Things, wearable tech or big data. This headline alone hammers home the level of change heading our way and our journey into digital transformation beyond the point of no return. They say you can’t teach an old dog new tricks.

Technology 40

Technology Change Artificial Inteligence Internet of things 40

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

Paul Hobcraft

JULY 1, 2019

We have a choice (many sadly still do not) to hunker down and just keep repeating the work we are always doing, repeating the work done again and again, or being enabled to think about what needs changing and ask what is the ‘ work to be done? ’. The work to be done is how well it can adapt to change, how we can make these changes happen.

Innovation 164

Innovation System Change Disruption 164

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 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

Daniel Burrus

NOVEMBER 7, 2018

Politicians are seeing the real benefits and cost savings that smart city initiatives can provide, and as citizens we need to get used to the idea of our towns collecting and making use of more and more data to reshape the world around us for the greater good.

Data 43

Data Trends Big Data Technology 43

Linda Bernardi

APRIL 27, 2022

My passion for data has always been to harness information into useful insights in order to improve services and delight customers, not to collect, archive, then never change business models. For example, my credit card company has all my data for the last two decades. Data security is manageable. What do you think?

Data 26

Data Disruption Company Examples 26

mjvinnovation

NOVEMBER 26, 2020

Understanding this change is a priority. It can promote the disruptions necessary for businesses to take the lead in their market and even create new markets to lead. Yes, this is DNA; a culture that is only on paper does not change anything. Data-driven factories, this is Industry 4.0. New business models.

Design 52

Design Technical Review Data Industry 52

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