Paul Hobcraft

MAY 6, 2018

The unique combining of the cloud, big data, social streaming, the internet of things, mobility, the industrial internet, are all making this the time for new growth opportunities through this digital economy and the radical overhaul of the activities to realize the benefits. We need to design our systems to be highly agile.

Design 138

Design Innovation Agile System 138

Paul Hobcraft

APRIL 19, 2017

Yet for others, who recognize the future lies in technology and the power of networks and community engagement, it is the opportunity to radically alter their way of doing business; the opportunity to forge new competitive positions that have the collaborative engagement at its heart. We have to embrace new technology – or leave the stage.

Report 168

Report Technology Engagement Data 168

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

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

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

mjvinnovation

AUGUST 31, 2020

This is an experience design process that plans, identifies, and subscribes to the implementation of the necessary value differentials that a brand requires to create a sustainable competitive advantage. With the regulation of Open Banking and data sharing by financial institutions, UX becomes an invaluable tool.

Technology 52

Technology Big Data Data Design 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

MAY 8, 2019

includes many physical and digital technologies – from Artificial Intelligence to cognitive applications through the Internet of Things and Big Data – allowing the emergence of interconnected digital organizations, as well as a high degree of modernization of manufacturing parks, among other results. Industry 4.0

Industry 40

Industry Big Data Technical Review Internet of things 40

mjvinnovation

FEBRUARY 18, 2020

This is accomplished through the use of new technology, methods, and above all else: data to go beyond what is observed empirically or declared in market research. Get deeper into this theme: download our E-book Agile Marketing now. How is Marketing’s performance in your company? Confira o post: What are the new marketing roles?

Marketing 52

Marketing Data Big Data Study 52

Innovation 360 Group

DECEMBER 29, 2015

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. What I learned, in fact, was more about information – how to acquire it and apply it for competitive advantage in the age of digitalization. The Fundamental Lessons Learned.

Artificial Inteligence 40

Artificial Inteligence Survey Innovation Big Data 40

Paul Hobcraft

AUGUST 26, 2015

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. Managing digital knowledge that adds value and growth.

Technical Review 100

Technical Review Technology Internet of things Innovation 100

Innovation 360

DECEMBER 29, 2015

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. What I learned, in fact, was more about information – how to acquire it and apply it for competitive advantage in the age of digitalization. That’s a hard question.

Artificial Inteligence 40

Artificial Inteligence Innovation Survey Big Data 40

mjvinnovation

MAY 6, 2019

So there is a real rush in the IT industry to develop methods and tools that can turn that sea of data into useful insights. It is in this new scenario that the concepts of Big Data, Analytics, Internet of Things, etc. Rapid movement and development are important to a business that wants to stay ahead of the competition.

Company 40

Company Artificial Inteligence How To Analysis 40

Linda Bernardi

JULY 24, 2017

Mega Data 2. Culture of Agility There has never been a more exciting time for artificial intelligence in enterprises. We are past Big Data (which occurred with the advent of mobile, apps and social media), and are in the Hyper-Data stage. It will require AI and machine learning (ML). Compute Availability 3.

Artificial Inteligence 29

Artificial Inteligence Technical Review Agile Software Review 29

Integrative Innovation

JANUARY 27, 2016

This requires companies to proactively or reactively innovate their business models in order to remain competitive. The platform environment is mostly characterized by a tension between collboration and competition of the participating companies, often referred to as coopetition. Cases in point: Lego and Burberry.

Underperforming Technical Team 40

Underperforming Technical Team Big Data Innovation Technical Review 40

Innovation 360 Group

SEPTEMBER 17, 2019

Global manufacturing executives rank “skilled talent” as their #1 competitive differentiator. Most importantly, they will need the right cultural matrix to support agile operations and flexible work. We have learned that high performing innovators share certain characteristics, capabilities and leadership styles.

Leadership 40

Leadership Artificial Inteligence Technology Culture 40

Paul Hobcraft

NOVEMBER 22, 2015

There also seems this perpetual dilemma of clients’ wishes that are hard to reconcile with operational realities to turn their organizations from being focused on effective and efficient into agile and adaptive ,required for innovation. The need for ecosystems, platforms, the greater use of analytics, big data and reliance on technology.

Innovation 60

Innovation Collaboration Technical Review Leadership 60

Acuvate

FEBRUARY 21, 2022

Amidst the global downturn of events, industries across the entire business spectrum turned to digital technologies to survive the blow, rewrite their operating landscape, and build an agile infrastructure. Leveraging AI, Big Data, IoT, and Analytics to boost data-driven decision-making.

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52

Planview

DECEMBER 16, 2022

Committing to being a people champion for digital transformation—nurturing workers through the new and challenging learning curve of using Agile methods for planning, prioritizing, and getting work done. Read the case study: Santander UK Unlocks Business Agility with Planview Portfolios. Santander UK. The organization serves 14.4

Technical Review 59

Technical Review Case Study Agile Artificial Inteligence 59

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

FEBRUARY 18, 2019

The history is there, waiting for you to learn lessons, to draw insights. The three “taken care of” are our focus on cost efficiency, change in regulations and government incentives and those three are imposed at levels so disconnected from the competitive forces at work globally, they are fixed on our own problems.

Innovation 179

Innovation Artificial Inteligence Technical Review Report 179

etventure

DECEMBER 22, 2016

Employees and leaders simply do not understand the changes in today’s business context – arising from the combination of new technology, changing customer expectations and disruptive competition. Communicate! Take Action! Drive creativity and experimentation by organizing company hackathons, “unconferences” and “barcamps”.

Underperforming Technical Team 56

Underperforming Technical Team Leadership Agile Culture 56

ITONICS

NOVEMBER 20, 2019

Bernd Blumoser, from Siemens AI Lab , shared how setting up a lab and leveraging agile sprints helped them to identify use cases for AI across the business units of Siemens. Read more about what role Big Data and Machine Learning play in Innovation Management. Employees are CEOs of Their Ideas.

Agile 47

Agile Innovation Data Innovation Programs 47

eZassi

MARCH 28, 2019

Staying aware and agile can ensure that innovation is a continued process and not a one-off project. Coaching can help companies learn how and where to look for emerging technology solutions. Big data can help reveal trends, identify who is working on what and help connect companies with startups and innovators across the globe.

Software Review 45

Software Review Underperforming Technical Team Software Technical Review 45

Boxes and Arrows

OCTOBER 12, 2015

For those who care about making data-driven business decisions, the challenge that presents itself is: How do we adhere to rigorous scientific standards in a world that demands adaptability and agility to survive? Expand capacity for learning. It might sound like semantics, but data should not drive decision-making.

How To 105

How To Data Survey Analysis 105

David Marks

APRIL 11, 2017

Over the past decade, industries far and wide, from publishing, advertisement, music, retail, hospitality and transportation seen revenues diminish and/or potential customers flock to new competition from teenage and toddler companies like Amazon, Google, Facebook, Uber, AirBNB, Netflix and Spotify.

Disruption 40

Disruption Company Technical Review Comparison 40