Paul Hobcraft

OCTOBER 2, 2023

By embracing Design Thinking principles differently in the future of innovation, organizations can foster a more profound culture of creativity, empathy, collaboration, and user-centricity. Moving to the edge : Organizations are becoming more agile by adopting an “edge” approach.

Design Thinking 147

Design Thinking Technical Review Design Technology 147

Paul Hobcraft

MAY 26, 2017

Utilitarian in its principles, seeking real-world use and implementation through a more creative, collaborative environment, leading to more discoveries that distinctly ‘blend’ the lab application with the customer discovery of unmet need. Creating a fluid, adaptive, agile innovation system unique each time.

Innovation 160

Innovation Design Innovation Processes Agile 160

Paul Hobcraft

SEPTEMBER 27, 2017

You do get tired of hearing “we are looking to become a value-creating solution provider”, yet the willingness to really create collaborative networks is still stuck in the “us and them” mentality. A radically different productivity model, more collaborative and open, more interacting across the communities that make up the broader ecosystem.

Artificial Inteligence 138

Artificial Inteligence Collaboration Technical Review Industry 138

Paul Hobcraft

MAY 6, 2018

There is a real need for a broader ecosystem approach that taps into a constellation of diverse and specialized players that all come together around a particular challenge, collaborating to deliver growing complex solutions that offer real growth value for the client. Where is innovation within this?

Design 138

Design Innovation Agile Collaboration 138

Paul Hobcraft

FEBRUARY 1, 2018

Utilitarian in its principles, seeking real-world use and implementation through a more creative, collaborative environment, leading to more discoveries that distinctly ‘blend’ the lab application with the customer discovery of unmet need. We need to be more agile, iterative , to be encouraged to be extracting, experimenting and exploring.

Engagement 205

Engagement System Innovation Design 205

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

FEBRUARY 18, 2019

The potential for collaboration with external partners to share knowledge, stay abreast of developments, expand market reach and provide complementary expertise appears underutilized. Then there is the notion of cross-sector innovation, one that can be realized through digital collaborations.

Innovation 178

Innovation Artificial Inteligence Technical Review Report 178

Ecosystems4Innovating

NOVEMBER 3, 2023

There is a fascinating change by embracing Design Thinking principles differently in the future of innovation; organizations can foster a more profound culture of creativity, empathy, collaboration, and user-centricity, one we have often dreamed of in embracing design thinking but so often never achieving.

Design Thinking 97

Design Thinking Technical Review Design Technology 97

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. Our Personal Shifts.

Innovation 100

Innovation Technical Review Collaboration Software Review 100

Paul Hobcraft

NOVEMBER 22, 2015

Consultants are not addressing many of the changes occurring and ignoring opportunities to adapt to different circumstances, they are simply not putting up a strong case of their engagement by redesigning their business models or opening themselves up to different forms of collaboration. Consultants are far too cautious for their own good.

Innovation 60

Innovation Technical Review Collaboration Leadership 60

Daniel Burrus

MARCH 6, 2019

is far more interlinked than revolutions before, allowing for improved company communication and collaboration. Big Data and Analytics. Agile and Anticipatory Cybersecurity. Industry 4.0 The general definition of Industry 4.0 is the rise of digital industrial technology. Industry 4.0

Industry 73

Industry Artificial Inteligence Internet of things Big Data 73

etventure

AUGUST 4, 2020

Many countries globally have recognized that the handling and processing of these large data sets depend heavily on the agile innovation engines of our economies – the startups. But what will the future of Big Data in Europe look like and what are the roles of European startups in shaping a European data economy?

Data 52

Data Artificial Inteligence Big Data Technical Review 52

etventure

DECEMBER 22, 2016

Collaboration. When each business unit is intensely focused on its KPIs, this leaves little room for collaboration. Even if smart leaders see the benefit of collaboration, it rarely occurs – unless the business units involved can guarantee their KPIs will improve. Take Action!

Underperforming Technical Team 56

Underperforming Technical Team Agile Leadership Culture 56

Corporate Innovation

JULY 4, 2015

While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, big data, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer). But I think that the problem runs deeper.

Disruption 61

Disruption Big Data Software Review Technical Review 61

Corporate Innovation

JULY 4, 2015

While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, big data, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer). But I think that the problem runs deeper.

Disruption 61

Disruption Big Data Software Review Technical Review 61

Qmarkets

AUGUST 20, 2024

Synthetic Data and Privacy Preservation In the age of big data, privacy concerns are at an all-time high. Synthetic data is emerging as a breakthrough innovation that addresses these concerns while still enabling companies to harness the power of data analytics.

Software 52

Software Disruption Artificial Inteligence Innovation 52

Acuvate

APRIL 12, 2023

However, the development of technologies like RPA, AI, and the Internet of Things is making up for these constraints, making production and supply chains more agile and bringing manufacturing well and truly into the era of Industry 4.0. technologies to build a fully connected and integrated industrial ecosystem.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

Acuvate

APRIL 12, 2023

However, the development of technologies like RPA, AI, and the Internet of Things is making up for these constraints, making production and supply chains more agile and bringing manufacturing well and truly into the era of Industry 4.0. technologies to build a fully connected and integrated industrial ecosystem.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

mjvinnovation

FEBRUARY 27, 2020

When it comes to technology then, it is much easier to collaborate with a startup than to assemble a team and take a long time on feasibility tests, prototypes etc. Collaboration with an open innovation hub, or creating one, tends to be something more perennial. Returns are usually quite high, obviously, because the risks are so great.

Open Innovation 52

Open Innovation Innovation Agile Internet of things 52

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.

Artificial Inteligence 52

Artificial Inteligence Agile Data Survey 52

mjvinnovation

SEPTEMBER 3, 2020

The benefits of guiding your decision making with data are numerous, among them: Cost reduction Decrease in rework Efficiency Customer satisfaction Market value. The rise of data-driven culture. Data Science. Finally, here’s a tip: Do not hold any meetings without some data to show during it. Advantages of data culture.

Data 59

Data Culture Technical Review Company 59

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. Define your North Star Metric.

Agile 47

Agile Innovation Innovation Programs Artificial Inteligence 47

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. Get in touch with our experts.

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52

Acuvate

JUNE 22, 2022

“Digital banking,” “super apps,” “hyper-personalization,” “customer experience,” and “agility” — are the terms redefining the BFSI industry today. Moreover, advanced AI-driven smart analytics and Big Data analytics can analyze customer needs, behavior, and profiles and suggest suitable financial products and services.

Industry 52

Industry Artificial Inteligence Agile System 52

Acuvate

FEBRUARY 11, 2022

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. Drive agility and efficiency with low-code app development.

Industry 52

Industry Artificial Inteligence Analysis Agile 52

Steve Blank

JUNE 23, 2016

Their most profitable segment is very high-end processors used in data centers in servers and the cloud. Today that’s built on the premise that an x86 architecture is the one best suited for big data. It’s possible that by the end of this decade history might repeat itself in Intel’s most profitable segment.

Disruption 51

Disruption Company Big Data Innovation 51

mjvinnovation

JULY 6, 2020

One of the solutions we see in this scenario is nearshore outsourcing, where collaboration is essential. In addition to our technical skills and agile, user-centered design practices, at MJV we propose several collaboration models – including high-impact, quality teams at affordable costs. Agile Methodologies.

Agile 40

Agile Project Culture Software Development 40

eZassi

MARCH 28, 2019

This approach encourages global collaboration and thought diversity, which can accelerate innovation. Staying aware and agile can ensure that innovation is a continued process and not a one-off project. Staying aware and agile can ensure that innovation is a continued process and not a one-off project. Collaboration software.

Software Review 45

Software Review Innovation Underperforming Technical Team Software 45

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 Technical Review Internet of things Big Data 40

hackerearth

DECEMBER 8, 2017

According to McKinsey’s , across all dimensions, the most significant differences between top growers and their peers were in data and analytics, developing products and services, and company processes, such as agile work environments, cross-functional collaboration, and colocated teams . Data & Analytics.

Marketing 40

Marketing How To Big Data Data 40

Harvard Business Review

AUGUST 25, 2016

On the one hand, they desperately seek greater agility; on the other, they genuinely want to include all the right stakeholders in their processes. Customers and clients demand greater agility, and employees and partners expect greater empowerment. But effective agility frequently demands inclusive stakeholder involvement.

Big Data 15

Big Data Data Change Technical Review 15

mjvinnovation

AUGUST 6, 2020

Agile Mindset. Agile Methodologies provide a fundamental turning point for this mindset. UX, DevOps, Blockchain, Data Science, IoT, RPA, Data Lake, and Big Data are just a few examples of technologies that will provide: Systemic availability. How to do this? Interoperability. Modularization of services.

Change 52

Change Industry Agile Technical Review 52

Integrative Innovation

JANUARY 27, 2016

These communities stimulate social engagement around the product through participation in forums, sharing, collaboration or even user-driven innovation by co-creating new products. Research confirms large companies as well as entrepreneurs to rate the importance of collaborative forms of innovation higher for the future.

Underperforming Technical Team 40

Underperforming Technical Team Innovation Big Data LEAN 40

mjvinnovation

JUNE 14, 2019

Know-how, technology, processes and intellectual property remain under one’s control; without collaboration with other market players or universities, for example. Open Innovation is more linked to collaboration, often coming from outside the company. MJV Innovation Lab.

Open Innovation 40

Open Innovation Innovation Internet of things Collaboration 40

ITONICS

MAY 14, 2018

Large corporations have taken steps towards being more agile and adapting to the rapid pace of digitization by improving their oftentimes long innovation processes and giving more autonomy to employees. Companies have already started linking innovation to data analytics to solve a variety of problems. Adapt or die.

Company 57

Company Technical Review Software Review Innovation 57

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 is due to the confluence of six factors: 1. Compute Availability 3.

Artificial Inteligence 29

Artificial Inteligence Technical Review Agile Software Review 29

mjvinnovation

APRIL 25, 2019

The strength of this wave lies in the use of emerging technologies such as Big Data and Artificial Intelligence to optimize the consumer experience and fill gaps in the financial system. Also the big techs, tech giants, are eyeing the financial industry and dare threaten the banks’ hegemony. What is Open Banking.

Artificial Inteligence 40

Artificial Inteligence Open Innovation Data Strategy 40