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

SEPTEMBER 27, 2017

We need to engage differently. For instance, earlier engagement with governments, with research institutes, publishing new findings in more open ways, less restrictive on a sharing data all might allow the communities to search for a different model of discovery to commercialization. We need to engage differently.

Collaboration 138

Collaboration Artificial Inteligence Technical Review Industry 138

Brunner

JUNE 1, 2020

The result of that impact has revealed where businesses have significant gaps in digital readiness (especially challenger brands that may be at a competitive disadvantage with digital investment and scale). What do you estimate the “data maturity” of your organization to be? Do you have an agile test and learn strategy?

Technical Review 40

Technical Review Data Comparison Agile 40

Gregg Fraley

AUGUST 1, 2018

Seeking combinations and applications where other aren’t looking is how competitive advantage is created. The session is engaging, highly kinesthetic, intense, fun, demanding — and highly productive. Coca-Cola, Georgia Pacific, P&G, Marquette University, and the United Nations are a sampling of past engagements.

Technology 50

Technology Internet of things Ideation Artificial Inteligence 50

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. 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.

Technical Review 100

Technical Review Technology Internet of things Innovation 100

Integrative Innovation

JANUARY 27, 2016

This requires companies to proactively or reactively innovate their business models in order to remain competitive. Recent research has confirmed successfully disrupting as well as outperforming companies to be significantly more engaged in business model innovation. Co-Innovation and startup engagement.

Underperforming Technical Team 40

Underperforming Technical Team Big Data Innovation Technical Review 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

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.

Innovation 60

Innovation Collaboration Technical Review Leadership 60

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. These are not just competitive advantages. The Relationship of Capabilities to Leadership. They are survival skills.

Leadership 40

Leadership Artificial Inteligence Technology Culture 40

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 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. In addition, data security is seen as inhibiting data-driven innovation (30 percent).

Innovation 179

Innovation Artificial Inteligence Technical Review Report 179

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 Data Innovation Programs 47

eZassi

MARCH 28, 2019

This includes engaging the right people, creating new strategies for automation and performance measurement, evaluating ideas and executing the best ideas in a way that reduces the time to market. Staying aware and agile can ensure that innovation is a continued process and not a one-off project. And much more!

Software Review 45

Software Review Underperforming Technical Team Software Technical Review 45

Paul Hobcraft

MAY 7, 2024

The second post , coming next, focuses on how organizations have become more collaborative, open and agile and deal with ideation and what tools and technologies seem to have emerged as the leading ones. Data-driven innovation enables organizations to make informed decisions, identify new opportunities, and optimize product development.

Artificial Inteligence 148

Artificial Inteligence Collaboration Ideation Innovation 148

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? It might sound like semantics, but data should not drive decision-making. Insights should.

How To 105

How To Data Survey Analysis 105