Ecosystems4Innovating

NOVEMBER 3, 2023

While AI can assist with data-driven insights, human critical thinking is essential for evaluating these insights in context and making decisions that balance various factors. 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

Idea to Value

SEPTEMBER 7, 2019

There’s a closer relationship between people, objects, devices, and the data we generate every day. leaders will foster a transparent and creative culture that isn’t afraid of agile changes and evolution. They’ll keep their people engaged, even when they’re concerned about the arrival of new processes and tech. Industry 4.0

Industry 215

Industry Leadership Artificial Inteligence Training 215

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). Data privacy built into the solution.

System 28

System Engagement Big Data Internet of things 28

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. The result?

Artificial Inteligence 52

Artificial Inteligence Data Agile Survey 52

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. How does the technology work?

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. The automotive industry is on the brink of significant technological disruption.

Industry 52

Industry Artificial Inteligence Analysis Data 52

Paul Hobcraft

SEPTEMBER 27, 2017

There is certainly a clear buzz and appeal for more novel solutions, based on more rigorous evaluations through increasing the field of data analysis, leveraging a greater discovery of Molecular sciences and finding these different combinations that stretch existing products and patents. We need to engage differently.

Collaboration 138

Collaboration Artificial Inteligence Technical Review Industry 138

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

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. Do you have technology that aggregates and stores customer/consumer data across all appropriate touchpoints? What do you estimate the “data maturity” of your organization to be?

Technical Review 40

Technical Review Data Comparison Agile 40

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

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

Paul Hobcraft

MAY 26, 2017

We need to consider how big data and analytics, technology and a far more creative thinking needs to be applied collectively. Creating a fluid, adaptive, agile innovation system unique each time. To support this ongoing journey we have been evolving our problem-solving methods. A constant redesign to meet the circumstances.

Innovation 160

Innovation Design Innovation Processes Agile 160

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 Internet of things Ideation Artificial Inteligence 50

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 Competition Big Data 100

Paul Hobcraft

FEBRUARY 1, 2018

” We need to increasingly rely on problem-solving techniques that we generate through greater automated discovery and inquiry, those that emerge from analysis and data mining. In my view I visualize a new integrated innovation engagement platform to be like this shown below. Does it make sense to you? Your thoughts?

Engagement 206

Engagement System Innovation Design 206

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? Keep in mind this is not just the domain of your data processing department any longer. Do your people know them?

Project 74

Project Training Design Thinking Innovation 74

mjvinnovation

MAY 6, 2019

Welcome to the “Data Age” First and foremost, a contextualization: we do not live what experts are calling the “Data Age” What they want to synthesize is the fact that the world has changed before our eyes, transforming into a universe of digital data of the most varied formats (text, video, audio, image, etc.).

Company 40

Company Artificial Inteligence How To Analysis 40

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 Big Data Innovation Technical Review 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. scoring 2.58

Leadership 40

Leadership Artificial Inteligence Technology Culture 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

Paul Hobcraft

FEBRUARY 18, 2019

The rapid shifts towards the new triggers of innovation based on the underlying technology of AI, Blockchain, cloud, and cognitive computing, data analytics and the prevalence of IoT is changing innovation dramatically. Investment in data analytics and cloud computing is already advanced.

Innovation 179

Innovation Artificial Inteligence Technical Review Report 179

ITONICS

NOVEMBER 20, 2019

Data is more like Sand, than Gold. Innovative approaches were discussed to turn data into actual business value. This process might require a deeper understanding of the context of the data, and, of course, an ability to link it to a business value proposition. Is data the next gold? Employees are CEOs of Their Ideas.

Agile 47

Agile Innovation Data Innovation Programs 47

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.

Technical Review 100

Technical Review Innovation Collaboration Software Review 100

Corporate Innovation

JULY 4, 2015

Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs. They continue to invest heavily in R&D. In fact, during the last three years automakers have been increasing their R&D investments. Volkswagen. Connected car.

Disruption 61

Disruption Big Data Technical Review Software Review 61

Corporate Innovation

JULY 4, 2015

Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs. They continue to invest heavily in R&D. In fact, during the last three years automakers have been increasing their R&D investments. Volkswagen. Connected car.

Disruption 61

Disruption Big Data Technical Review Software Review 61

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

Qmarkets

JUNE 16, 2017

Furthermore, as one billion people get in and out of cars every single day, McKinsey forecasts that aggregating and selling data from these vehicles could grow into a $450 to 750 billion market by 2030. Some of the biggest automotive companies are now taking notice and beginning to utilize this methodology.

Industry 56

Industry Technical Review Software Review Disruption 56

Boxes and Arrows

OCTOBER 12, 2015

To the dismay of product teams desiring to ‘move fast and break things,’ their counterparts in data science and research advocate a slower, more traditional approach. Consider for example how the answer to this question, posed by a MECLABS data scientist , changes based on your perspective: In terms of size, what does a 0.2%

How To 105

How To Data Survey Analysis 105

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