Paul Hobcraft

MARCH 27, 2018

I have written a fair amount about the new innovation era, offering a view on its future design. One that is jumping to a fresh cycle of innovative design. We are in the middle of it, some of you may not have noticed its impact and change but it is significant on the understanding of innovation, in it’s future design.

Innovation 185

Innovation Radical Innovation Design Big Data 185

Idea to Value

JULY 1, 2020

This is why “lean” and “agile” have become buzzwords today. Designers of performance management systems have many tools in their arsenal to make the judgement as “right” and as “fair” as possible. Their power structures and jobs are threatened and they mobilize to deny or resist the new developments.

Report 148

Report Big Data Leadership LEAN 148

Acuvate

APRIL 12, 2023

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. They are improving the manufacturing landscape by facilitating data-driven decision-making, increasing productivity, and reducing costs through sensors, embedded software, and robotics.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

Acuvate

APRIL 12, 2023

For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions. They are improving the manufacturing landscape by facilitating data-driven decision-making, increasing productivity, and reducing costs through sensors, embedded software, and robotics.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

Paul Hobcraft

MAY 26, 2017

We need to do better, we need to design a completely new innovation process that takes into account all that has evolved in our understanding and experiment in recent years. We design the innovation system we need after we know what we are trying to achieve in the challenge or idea. A new cycle of innovation.

Innovation 160

Innovation Design Innovation Processes Agile 160

mjvinnovation

MARCH 11, 2020

To win over 100% of their digital consumers, companies must become increasingly agile and innovative. Their analytical power comes from using Big Data and Machine Learning to design the best scenarios, manage risk, and elevate decision making to the next level of efficiency. The Action Plan. Resource Scarcity.

Artificial Inteligence 52

Artificial Inteligence Trends Marketing Internet of things 52

Paul Hobcraft

FEBRUARY 1, 2018

I have written extensively, certainly over the past eighteen months, about our need to take innovation into a new era, designed for today and tomorrow’s “fit for purpose” Below you will see my view of how I see this sketched out, as my suggested concept outline. Does it make sense? Does it make sense to you?

Engagement 205

Engagement System Innovation Design 205

Jeffrey Phillips

FEBRUARY 18, 2019

Blockchain and IoT provide greater oversight into where components are made and sourced, and big data helps identify cost issues, leading to more pressure on the supply chain. This means constant updates to how car parts and cars themselves are designed, manufactured and assembled. What happens?

Artificial Inteligence 209

Artificial Inteligence Innovation Big Data Technology 209

Gregg Fraley

AUGUST 1, 2018

It’s designed to uncover unlikely, but useful, combinations of technologies, products, services, trends, and insights that lead to breakthrough innovation. The customized session design and associated proprietary tools in Digital MoshPit are only available through GFi. Data Analytics. Artificial Intelligence. Augmented Reality.

Technology 50

Technology Internet of things Ideation Artificial Inteligence 50

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. From upstream to downstream activities, operations are designed to bring routine to the working environment. And, why is that?

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52

InnovationTraining.org

SEPTEMBER 6, 2019

Design Thinking Still the Most Popular Framework. Design Thinking is still the most popular innovation framework, with 46% of participants stating that they believe in and practice it within their own organization. Learn more about innovation frameworks with our post on 5 popular approaches to innovation (besides design thinking).

Report 40

Report Trends Design Thinking Technical Review 40

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 Data Agile Survey 52

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

FEBRUARY 27, 2020

A startup is a company designed to expand rapidly. This open innovation hub works within the university’s Technology Park to develop projects in the areas of Design Thinking, Gamification, Big Data/Analytics, Agile Methodology, Digital Strategy and Internet of Things.

Open Innovation 52

Open Innovation Internet of things Innovation Agile 52

Paul Hobcraft

AUGUST 26, 2015

We need to address this incompatibility, we need to integrate and harness the innovation management system and bring it completely up to date and integrated in design and function. This merging of cloud, big data, social, and the internet of things is becoming the new system of discovery according to some.

Technical Review 100

Technical Review Technology Internet of things Innovation 100

Gregg Fraley

SEPTEMBER 16, 2017

Not Design Thinking?” After a bit of gab about projects, Design Thinking, and other industry buzzwords, I promised to get back to him with a more thoughtful answer — and then I changed the topic! There are great frameworks and tools out there for innovation projects, like Design Thinking, Agile, Lean, and blended processes.

Project 74

Project Training Design Thinking Innovation 74

mjvinnovation

JULY 6, 2020

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. Digital Design Thinking. Agile Methodologies. Advantages of Nearshore. Native interface. Market knowledge. Geographic proximity.

Agile 40

Agile Project Culture Big Data 40

mjvinnovation

AUGUST 31, 2020

UX design has already proven to be a great strategy to help companies prioritize memorable experiences and translate them at all contact points with the user. Some organizations were already preparing for its arrival, which absorbed the Design of Futures in their structures. Many speculations are being made about what is to come.

Technology 52

Technology Big Data Data Design 52

mjvinnovation

AUGUST 6, 2020

Design Thinking is the methodology that guides our transformations. Design Thinking is in our DNA provides us with an in-depth understanding of our clients’ businesses, helping us achieve increasingly efficient results. Agile Mindset. Agile Methodologies provide a fundamental turning point for this mindset.

Change 52

Change Industry Agile Data 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

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 Data 52

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

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. The issue I have with these questions is not in asking them, but when to ask them, and how to use their answers.

Meeting 100

Meeting Innovation Competition Big Data 100

Gregg Fraley

DECEMBER 11, 2017

AI, Analytics, IoT, Big Data, Cloud, Mobile, Social Media, Sensors, Robotics, Augmented Reality, Voice Recognition… and the list goes on. Why is this challenge so different from previous innovation challenges? Has there ever been a moment in time when so many new technologies are washing over us all at once? It’s daunting.

Technical Review 55

Technical Review Ideation Big Data Innovation 55

Paul Hobcraft

DECEMBER 2, 2016

There is a time where each business has to become highly adaptive, agile, open and mutually dependent on others to deliver in this ‘connected’ world to exploit these conditions and explore the opportunities that will emerge. The social effect is influencing government, business, and whole communities.

Technical Review 100

Technical Review Innovation Collaboration Software Review 100

mjvinnovation

MAY 8, 2019

This includes everything from the design to the automation of manufacturing processes, through the supply chain, among other aspects of operational and administrative daily life. the emergence of tools, resources and methods for data analysis: BI and Analytics solutions to complex management methodologies and use of Big Data; .

Industry 40

Industry Big Data Technical Review Internet of things 40

Paul Hobcraft

APRIL 19, 2017

The intention of this report was to provide data for orientation for people dealing with this difficult topic, it was an attempted to extract a selection of the best emerging practices or thinking of the what, how and why digital transformation needs to be top of every business person’s mind. The challenges are massive.

Report 168

Report Technology Engagement Data 168

etventure

DECEMBER 22, 2016

Explain how today’s unpredictable marketplace drives the need for a much more agile and entrepreneurial mindset – based on an openness towards technological change, the use of methodologies such as design thinking, scrum for agile project management, a willingness to take risks, and a change in the company structure to a network organization.

Underperforming Technical Team 56

Underperforming Technical Team Leadership Agile Culture 56

mjvinnovation

FEBRUARY 18, 2020

The companies most tuned to this movement have designed Growth Marketing strategies, which bring together a series of marketing-oriented experiments and tests aimed at exponentiality. In the Approach to Growth Marketing, professionals make decisions that are based 100% on data. Growth Marketing: not only selling, but boosting sales.

Marketing 52

Marketing Data Big Data Study 52

Anaqua

MARCH 27, 2019

With the additions of IdeaPoint, AcclaimIP, PatentRiver, Beacon Innovation Group, Lecorpio, and launch of AQX, we’re leading the IPM space with a fresh new set of product and technology perspectives that embrace big data, analytics, advanced search, and new technology frameworks that continue to enrich our ecosystem.

Technology 40

Technology Fractional CTO CTO Data 40

Faisal Hoque

FEBRUARY 24, 2021

Artificial intelligence, augmented reality, big data, multi dimensional printing, robots designed to interact physically with human beings in a collaborative environment, are just a sampling of the power and pervasiveness of technological disruption. They’re agile by choice. They encourage autonomy and creativity.

Leadership 52

Leadership Change Artificial Inteligence Disruption 52

Faisal Hoque

FEBRUARY 24, 2021

Artificial intelligence, augmented reality, big data, multi dimensional printing, robots designed to interact physically with human beings in a collaborative environment, are just a sampling of the power and pervasiveness of technological disruption. They’re agile by choice. They encourage autonomy and creativity.

Leadership 52

Leadership Change Artificial Inteligence Disruption 52

Steve Blank

JUNE 23, 2016

ARM, a competitor, not only had a better, much lower power processor, but a better business model – they licensed their architecture to other companies that designed their own products. Their most profitable segment is very high-end processors used in data centers in servers and the cloud. But it’s not over for Intel.

Disruption 51

Disruption Company Big Data Innovation 51

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

Acuvate

JULY 8, 2019

Modernizing IT through agile methodologies can speed up the provision of IT services by 30-50%, according to McKinsey. Enterprises need to leverage APIs to rapidly implement innovations in mobile, IoT, social, and big data. It utilizes everything available to its full potential.

Tips 53

Tips System Data Software 53

hackerearth

DECEMBER 8, 2017

Distinctive performer capabilities include sales and pricing as well as customer experience, for example, for the creator, it’s data, analytics, product or service design, and insights given by a customer; the investor outperforms on data and analytics as well as customer experience. Promotes low-risk, data-driven action plans.

Marketing 40

Marketing How To Big Data Data 40

Paul Hobcraft

FEBRUARY 18, 2019

They suffer high costs, aging workforces, very high social costs in most of their current ecosystems, designed for the 20th century. Europe is trapped in legacy. Innovation today is about multiples of combinations, not one rigid innovation approaches. In Europe, we are around 50% of the US on digital ICT.

Innovation 178

Innovation Artificial Inteligence Technical Review Report 178