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.

Software Review 162

Software Review Innovation Design Technical Review 162

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.

Report 148

Report Big Data Leadership LEAN 148

Ecosystems4Innovating

MARCH 21, 2024

This requires business ecosystem thinking and design. Businesses need to find new competitive battle zones as they exhaust the traditional ones. Digital transformation, big data analysis and the ubiquity of information are changing the knowledge game. Working in Ecosystems will change the nature of business activities.

Collaboration 52

Collaboration Competition Big Data Technology 52

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. Learn how to combine these forms of analysis and apply it in your business.

Design Thinking 40

Design Thinking Design Case Study Analysis 40

Cris Beswick

APRIL 16, 2024

They are not always intentional or by design. Leaders who champion innovation understand its role in driving competitive advantage, increasing market share, and, often, creating entirely new markets. This balance is essential for organisations to remain competitive and adapt to changing market conditions.

Innovation 59

Innovation Culture Creativity Disruption 59

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.

Data 208

Data Innovation Design Marketing 208

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. Learn how to combine these forms of analysis and apply it in your business.

Design Thinking 40

Design Thinking Design Case Study Analysis 40

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. With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Traditional automation, however, has its drawbacks.

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. With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Traditional automation, however, has its drawbacks.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

Tullio Siragusa

JULY 25, 2022

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. In this podcast recap blog post, we will discuss how innovation derived from creativity, data, and automation can lead to success. Anyone can learn to be creative if they put in the effort.

Data 118

Data Creativity Technical Review Innovation 118

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

Acuvate

FEBRUARY 21, 2022

For the O&G industry, too, the potential benefits of going digital were plenty — cost savings, safer operations, increased productivity, and improved resiliency to weather the unpredictability and remain competitive amidst rising demand for alternative, environmentally-friendly energy sources. And, why is that?

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52

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. Led Design: Adoption of a user-focused approach, such as Design Thinking.

Artificial Inteligence 52

Artificial Inteligence Trends Marketing Internet of things 52

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 Data Industry 52

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?

Collaboration 138

Collaboration Artificial Inteligence Technical Review Industry 138

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. . Learn More: Enterprise AI: The Adoption Strategy & Practical Solutions. #3 4 Big Data.

Technology 89

Technology Artificial Inteligence Big Data Data 89

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. This time, it is different though.

Report 168

Report Technology Engagement Data 168

mjvinnovation

OCTOBER 5, 2020

Regardless of industry or size, organizations that want to remain competitive in the era of Big Data need to develop and efficiently implement Data Science capabilities – or risk being left behind. Do you know what Data Science is? One way to understand data science is to visualize what a data scientist does.

Data 52

Data Examples Artificial Inteligence Project 52

Paul Hobcraft

FEBRUARY 18, 2019

The history is there, waiting for you to learn lessons, to draw insights. 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.

Innovation 178

Innovation Artificial Inteligence Technical Review Report 178

mjvinnovation

FEBRUARY 4, 2021

The phase involves both the human side, as we seek to understand what will be relevant for end-users and the technological side, to learn about the data sources available and how they are collected. Immersion in the data: to understand the different sources of data available, their quality, among other points.

Data 40

Data Artificial Inteligence Company Analysis 40

Paul Hobcraft

JANUARY 14, 2016

There are management tools that have become ‘enshrined’ in organizations and many of the executives become settled on the ones they have bothered to learn or seemingly do the job. The more they use the tool, give emphasis to it, the more it seems to give satisfaction in capturing and delivering on the tools’ design.

Tools 100

Tools Management Innovation Management Underperforming Technical Team 100

mjvinnovation

AUGUST 31, 2020

UX design has already proven to be a great strategy to help companies prioritize memorable experiences and translate them at all contact points with the user. With the regulation of Open Banking and data sharing by financial institutions, UX becomes an invaluable tool. Digital transformation is not just an option.

Technology 52

Technology Big Data Data Design 52

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

OCTOBER 18, 2019

A Data Science strategy aims to mine large amounts of structured and unstructured data to, among other things, identify patterns to help organizations control costs, increase efficiency, recognize new market opportunities, and increase competitive advantage. What technologies and practices are under the umbrella of Data Science?

Data 40

Data Artificial Inteligence Big Data Internet of things 40

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

JULY 21, 2020

Data Science is about mining large amounts of structured and unstructured data to identify patterns that can help an organization control costs, increase efficiency, recognize new market opportunities, and increase the organization’s competitive advantage. Hire data scientists. Establish metrics and share findings.

Data 52

Data Artificial Inteligence Company Analysis 52

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 Management Underperforming Technical Team Big Data 100

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.

Technical Review 100

Technical Review Innovation Collaboration Software Review 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 Internet of things Innovation 100

mjvinnovation

JULY 6, 2020

We know that building this new normal is a very big challenge. We at MJV have been investing in thinking about how we can learn and make these transformations together. The nearshore is the easiest way to expand your team remotely, achieve scalability and stay competitive. Our competitive advantage: the MJV way.

Agile 40

Agile Project Culture Big Data 40

mjvinnovation

NOVEMBER 30, 2020

But the data alone would not be able to cope with the changes, and in the future, we would see a new basis emerge, based on communication, on purpose. Analytical Culture: data as a driving force. Today, there is no way to be competitive without Data Science and Analytics. Design Driven Data Science.

Data 52

Data Marketing Artificial Inteligence Design Thinking 52

Gregg Fraley

DECEMBER 11, 2017

Learn 4 Ways to Amplify Digital Innovation in 2018. AI, Analytics, IoT, Big Data, Cloud, Mobile, Social Media, Sensors, Robotics, Augmented Reality, Voice Recognition… and the list goes on. Learn and understand the technology. You need to learn more about digital technology. It’s daunting.

Technical Review 55

Technical Review Ideation Big Data Innovation 55

mjvinnovation

FEBRUARY 18, 2020

The companies most tuned to this movement have designed Growth Marketing strategies, which bring together a series of marketing-oriented experiments and tests aimed at exponentiality. In the Approach to Growth Marketing, professionals make decisions that are based 100% on data. Growth Marketing: not only selling, but boosting sales.

Marketing 52

Marketing Data Big Data Study 52

Daniel Burrus

AUGUST 1, 2018

The problem is, we live in an uncertain world, and because of the high levels of uncertainty we all face, people of all ages and careers are finding it difficult to know what new skills to learn, what courses to take, and what degrees to get that will provide them with the most opportunity going forward.

Technology 47

Technology Artificial Inteligence Trends Roadmap 47

Innovation 360 Group

DECEMBER 29, 2015

The Nobis eclectically combines the best of the old and new of architecture, design and service for an exceptional hotel experience. Classroom Innovation – What I learned. I thought that I’d come to Stockholm to learn how to use a new “cool tool” – the InnoSurvey (SaaS) technology. The Fundamental Lessons Learned.

Artificial Inteligence 40

Artificial Inteligence Survey Innovation Big Data 40

mjvinnovation

MAY 8, 2019

This includes everything from the design to the automation of manufacturing processes, through the supply chain, among other aspects of operational and administrative daily life. the emergence of tools, resources and methods for data analysis: BI and Analytics solutions to complex management methodologies and use of Big Data; .

Industry 40

Industry Big Data Technical Review Internet of things 40

Innovation 360

DECEMBER 29, 2015

The Nobis eclectically combines the best of the old and new of architecture, design and service for an exceptional hotel experience. Classroom Innovation – What I learned. I thought that I’d come to Stockholm to learn how to use a new “cool tool” – the InnoSurvey (SaaS) technology. The Fundamental Lessons Learned.

Artificial Inteligence 40

Artificial Inteligence Innovation Survey Big Data 40