mjvinnovation

NOVEMBER 30, 2020

Data Science becomes another step in the process – a new normal. In this scenario, who will come to take the space of the strategic differential? 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. Check it out!

Data 52

Data Marketing Artificial Inteligence Design Thinking 52

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. Here are our seven steps to implement Data Science in your business: 1.

Data 52

Data Artificial Inteligence Company Analysis 52

mjvinnovation

FEBRUARY 27, 2020

Easy, we prepared this article to explain everything. Startup, Corporate Venture, Open Innovation Hubs: who is who in the world of digital transformation. After all, what is a Startup? What is a Corporate Venture? What are open innovation hubs? Keep reading to find out! Open innovation hubs.

Open Innovation 52

Open Innovation Internet of things Innovation Agile 52

mjvinnovation

OCTOBER 18, 2019

Data Science is a multidisciplinary mix of data inference, algorithm development, and technology to solve analytically complex problems. In this article, we’ll explain the concept and tell you why it’s important to invest in it. What is Data Science and why is it so urgent to invest? Check it out!

Data 40

Data Artificial Inteligence Big Data Internet of things 40

Wazoku

NOVEMBER 29, 2017

This two-part series will explore the topic of a session I recently gave at a Design Thinking and Business Innovation Summit. It is certainly fair to say that most political parties were created prior to the ‘digital first’ times we are all experiencing. Are you looking for incremental, differentiated or radical innovations?

Technology 40

Technology Artificial Inteligence Innovation Design Thinking 40

mjvinnovation

JULY 6, 2020

Zygmunt Bauman calls this transition that we live in times of interregnum. We are between what is no longer is and what is not yet. We believe that many things will change for the better within this scenario of chaos and collapse. It requires discipline and resilience to sustain these transitions until we are fully adapted.

Agile 40

Agile Project Culture Big Data 40

mjvinnovation

SEPTEMBER 22, 2020

In this article, we will explain how Design can provide a differentiated experience for your customers. Remember: UX is gaining more and more relevance in the scenario we live in today and can help you to win over the hearts of passionate and willing communities. However, we cannot forget other devices, such as browsers.

Design 59

Design Artificial Inteligence Technical Review Meeting 59

etventure

DECEMBER 22, 2016

When we think about digitization, we think about technologies, processes and business models. We rarely consider the importance of the “ human factor ” in the digital transformation process. Making a decision which results in failure can cost a leader their job – so taking risks is a big gamble.

Underperforming Technical Team 56

Underperforming Technical Team Leadership Agile Culture 56

mjvinnovation

JUNE 14, 2019

When we think of Open Innovation, it is tempting to associate it with the opposite of Closed Innovation, the traditional one, generated by our own efforts in organizations, without the aid of external entities and agents. In fact, the best thing to do is to think of these two concepts as complementary. Do not follow this path.

Open Innovation 40

Open Innovation Innovation Internet of things Strategy 40

Corporate Innovation

DECEMBER 8, 2015

Steve and I are working on what we hope will become a book about the new model for corporate entrepreneurship. Most CEOs assign the responsibility to establish and manage their innovation outposts (and the outpost’s relationships to startups) to their R&D organizations. Startups are developing IP relevant to the disruption.

How To 67

How To Disruption Innovation Entrepreneurship 67

Corporate Innovation

DECEMBER 8, 2015

Steve and I are working on what we hope will become a book about the new model for corporate entrepreneurship. Most CEOs assign the responsibility to establish and manage their innovation outposts (and the outpost’s relationships to startups) to their R&D organizations. Startups are developing IP relevant to the disruption.

How To 67

How To Disruption Innovation Entrepreneurship 67

Integrative Innovation

JANUARY 27, 2016

Hence, I gave it some thought, starting by revisting an earlier reflection: Beginning of 2013, Tim Kastelle and I identified four key issues in innovation management for the time to come. In the course of this first month of 2016, I was asked a couple of times what my prospects are for the year ahead when it comes to key innovtion issues.

Underperforming Technical Team 40

Underperforming Technical Team Big Data Innovation Technical Review 40

Paul Hobcraft

NOVEMBER 22, 2015

I think if this trend continues it will be a mistaken course. From my perspective I’ve been looking at a real challenge today, that many consultants offering innovation services are not providing real sustaining consulting value to clients, only ad-hoc services. Innovation solutions simply need to be crafted in my opinion.

Innovation 60

Innovation Collaboration Technical Review Leadership 60

Corporate Innovation

DECEMBER 8, 2015

Steve and I are working on what we hope will become a book about the new model for corporate entrepreneurship. Most CEOs assign the responsibility to establish and manage their innovation outposts (and the outpost’s relationships to startups) to their R&D organizations. Startups are developing IP relevant to the disruption.

How To 40

How To Disruption Innovation Entrepreneurship 40

Steve Blank

DECEMBER 8, 2015

Evangelos and I are working on what we hope will become a book about the new model for corporate entrepreneurship. Most CEOs assign the responsibility to establish and manage their innovation outposts (and the outpost’s relationships to startups) to their R&D organizations.

How To 38

How To Disruption Innovation Entrepreneurship 38

mjvinnovation

MAY 29, 2019

We can describe Algo Trading as a “trading algorithm”, the use of a trading system that facilitates transaction decision making in financial markets using advanced mathematical tools. As large institutional investors deal with a huge amount of stock, it is they who make the most use of Algo Trading. Check it out!

Marketing 12

Marketing Underperforming Technical Team Data Design Thinking 12