Paul Hobcraft

OCTOBER 2, 2023

New analytics approaches powered by artificial intelligence (AI) can identify real-time data patterns, helping anticipate trends and inform decision-making. Moving to the edge : Organizations are becoming more agile by adopting an “edge” approach. This iterative feedback loop keeps users central to the design process.

Design Thinking 147

Design Thinking Technical Review Design Technology 147

Paul Hobcraft

APRIL 19, 2017

The customer has become absolutely central to this transformation and the drive towards the 4th Industrial revolution is driving this transformation wholesale across all industries and services engaged in business. We need to fundamentally transform our processes by opening up and engaging with customers.

Report 168

Report Technology Engagement Data 168

mjvinnovation

DECEMBER 22, 2020

This is because the volume of daily data produced in these virtual environments is a real gold mine for companies prepared to prospect for it. Keep reading to understand how you can benefit from the combination of Social Networks + Big Data. Social Networks: the gold mine of data. And Big Data is the tool for the job. ?

Big Data 52

Big Data Data Strategy Strategy 52

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 Collaboration 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.

Artificial Inteligence 138

Artificial Inteligence Collaboration Technical Review Industry 138

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 Innovation Internet of things 100

Imaginatik

SEPTEMBER 2, 2016

Starting with them tends to lead to the ‘same old, same old’ set of initiatives – e.g., be more customer centric, be more agile, get greater insight through big data. How you engage your markets and customers (re-imagine ‘em). Otherwise, why bother? This entry was originally posted on Linkedin by Ralph Welborn.

Meeting 100

Meeting Innovation Big Data Competition 100

Paul Hobcraft

FEBRUARY 18, 2019

Where is the engagement with start-ups, with Universities, these are still grossly undervalued and utilized in Europe Venturing is a powerful catalyst, not just for the start-up but for the large organizations yet Europe struggles to be offering new capital, it is constantly supporting old capital, why?

Innovation 178

Innovation Artificial Inteligence Technical Review Report 178

Information Playground

OCTOBER 17, 2016

.  Much of the record keeping in a system of record is a function of company size (how many employees worked for the company), product portfolio (how many products are being sold), and sales engagements (how many customers are involved in potential or actual sales orders). Analytics, big data, and data processing.

System 28

System Engagement Big Data Internet of things 28

Ecosystems4Innovating

NOVEMBER 3, 2023

Human designers with varied backgrounds and expertise can engage in interdisciplinary collaboration more effectively, bringing together insights from psychology, sociology, ethics, and other fields. User Engagement and Feedback : Building relationships with users and collecting meaningful feedback is human-centric.

Design Thinking 97

Design Thinking Technical Review Design Technology 97

Paul Hobcraft

DECEMBER 2, 2016

A more opening out, forming more connections into customers, engaging them in appreciating their needs is leading us to recognize the value and power in the seamless customer experience. As we learn the value and power of these tools we become more fluid, more flexible and agile but equally more influenced.

Innovation 100

Innovation Technical Review Collaboration Software Review 100

Gregg Fraley

SEPTEMBER 16, 2017

There are great frameworks and tools out there for innovation projects, like Design Thinking, Agile, Lean, and blended processes. Are you actively engaged in examining digital technology for innovation opportunities? This has to do with the “how.” Innovation requires a different mindset and approach than normal operations.

Innovation 74

Innovation Design Thinking Project Training 74

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 Technical Review Collaboration Leadership 60

Gregg Fraley

AUGUST 1, 2018

The session is engaging, highly kinesthetic, intense, fun, demanding — and highly productive. All frameworks (Agile, Lean, CPS, Design Thinking, Stage-Gate) require people to come up with fresh ideas, and MoshPit has a new and better way to do that. Data Analytics. Artificial Intelligence. IoT (Internet of Things). Social Media.

Technology 50

Technology Ideation Internet of things Brainstorming 50

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

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

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

JUNE 22, 2022

“Digital banking,” “super apps,” “hyper-personalization,” “customer experience,” and “agility” — are the terms redefining the BFSI industry today. The pandemic has fast-tracked digital behaviors, redefining how customers want to engage with their banks. Data extraction and validation follow next.

Industry 52

Industry Artificial Inteligence Agile System 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

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

Harvard Business Review

FEBRUARY 9, 2016

Big Data has quickly become an established fact for Fortune 1000 firms — such is the conclusion of a Big Data executive survey that my firm has conducted for the past four years. Among the findings: 63% of firms now report having Big Data in production in 2015, up from just 5% in 2012.

Big Data 15

Big Data Data Technical Review Agile 15

Brunner

JUNE 1, 2020

Suddenly we moved into a world where digital channels became the primary, sometimes only, customer-engagement method, often supported by AI tools. What do you estimate the “data maturity” of your organization to be? Do you have an agile test and learn strategy? Is your executive team well versed in today’s digital landscape?

Technical Review 40

Technical Review Data Agile Comparison 40

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

Integrative Innovation

JANUARY 27, 2016

Recent research has confirmed successfully disrupting as well as outperforming companies to be significantly more engaged in business model innovation. These communities stimulate social engagement around the product through participation in forums, sharing, collaboration or even user-driven innovation by co-creating new products.

Underperforming Technical Team 40

Underperforming Technical Team Innovation Big Data LEAN 40

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 Innovation Underperforming Technical Team Software 45

Qmarkets

JUNE 16, 2017

For example, in 2016 Ford began working with award-winning innovation management software vendor, Qmarkets, to engage their workforce and overcome their business challenges. Some of the biggest automotive companies are now taking notice and beginning to utilize this methodology. Click here to register your interest in attending!

Industry 56

Industry Technical Review Software Review Disruption 56

Harvard Business Review

SEPTEMBER 13, 2018

Why engage in a slow, painful planning exercise when you’re not even going to follow the plan? The frustrations with current planning practices intersect with another fundamental managerial trend: organizational agility. But if planning and agility are both necessary, organizations have to make them work.

Agile 15

Agile Data Resources Technical Review 15

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. have appeared. With graphics and other visuals, decision makers make faster choices; in a timely manner.

Artificial Inteligence 40

Artificial Inteligence Company How To Analysis 40

Innovation 360 Group

SEPTEMBER 17, 2019

Most importantly, they will need the right cultural matrix to support agile operations and flexible work. Finding and engaging the innovators within, those employees with an entrepreneurial outlook and the right “personas”, are key to driving innovation initiatives across the organization.

Leadership 40

Leadership Artificial Inteligence Ideation Technology 40

Harvard Business Review

OCTOBER 30, 2012

That's because information technology — not just the Internet, but also mobile devices, " big data " for intensive data-crunching, and other computer hardware and software — will render even some of today's most proficient business processes obsolete by the end of the decade. Knowledge work redesign.

Strategy 18

Strategy Strategy Technical Review Software Review 18

Harvard Business Review

AUGUST 22, 2014

The second is where we see similar patterns across industries, such as how people discover and engage with organizations and how organizations make different kinds of decisions. They brought in 2000 people, a dozen projects, a couple of Big Data and content analytics tools, and a consulting unit (outside of IBM Global Services ).

Change 15

Change Agile Open Innovation Crowdsourcing 15

Harvard Business Review

JANUARY 21, 2016

Digital engagement between companies and their suppliers and customers is five times larger in the leading sectors than in others. This engagement can range from digital payments and advertising to interactions on social media and in virtual marketplaces. The gap is in the degree of digital usage. There is reason to be optimistic.

Company 15

Company Internet of things Disruption Technology 15

Harvard Business Review

MARCH 15, 2013

Social media pushed this even further by forcing brands to engage with consumers — one-on-one — for the public to see, in a very human voice. While everyone is excited about the potential of "big data," the idea of agencies bringing more R&D to brands could best be defined as "big research."

Marketing 13

Marketing Technical Review LEAN Big Data 13

Harvard Business Review

JULY 17, 2015

Industry and academic leaders revealed that the very skills needed for workforce success are the same skills graduating students lack — such as analysis and problem solving, collaboration and teamwork, business-context communication, and flexibility, agility, and adaptability. Consider what’s happening at EMLYON Business School.

Collaboration 15

Collaboration Survey Industry Big Data 15

Harvard Business Review

JUNE 6, 2013

Here''s a familiar story: Marketing conducts research (" Big Data "! Answer: Cross-functional collaboration using "Agile Scrum.". Agile and Scrum have allowed ING to respond quickly to signals from customers. It demands more time from the business people, but they are engaged and own it. Analytics "!)

Marketing 9

Marketing Agile Software Developers Software Development 9