Leapfrogging

MARCH 3, 2025

AI technologies can automate routine tasks, analyze complex data sets, and provide insights that were previously unattainable. Whether you’re dealing with big data, customer insights, or operational inefficiencies, AI can offer tailored solutions to meet diverse business needs. Join the Consultant's Master Class!

Artificial Inteligence 130

Artificial Inteligence Data Analysis Trends 130

Leapfrogging

MARCH 14, 2025

Emotional Intelligence (EQ) refers to the ability to recognize, understand, and manage one’s own emotions, as well as the emotions of others. Self-Regulation : Managing your own emotions. Social Skills : Managing relationships to move people in desired directions. Empathy : Understanding the emotions of others.

Underperforming Technical Team 130

Underperforming Technical Team Artificial Inteligence Leadership Technical Review 130

InnovationManagement

JUNE 15, 2017

Big Data has had a big impact on the competitive landscape. Wise management of time is very critical in staying ahead of the competition. Here is an analysis of some of the real management applications of Big Data:

Big Data 48

Big Data Data Management Analysis 48

Paul Hobcraft

SEPTEMBER 15, 2017

I have argued in the past that innovation management needs to radically adjust and needs to be designed differently, it needs to be highly adaptive. It adjusts and you learn. Learning to work and listen more with the outside of our organization. In my view, we must go way beyond “open innovation” as we practice it today.

Design 232

Design Technical Review Innovation Agile 232

Yet2

JANUARY 9, 2023

Using Big Data in our own scouting activities has been an investment we’ve been making over the few years. To help make this intangible concept feel a little more real, below we share just 3 examples of how we at yet2 leverage Big Data in our scouting: Starting with unique, quality datasets: avoid “garbage in, garbage out.”

Big Data 52

Big Data Open Innovation Data Underperforming Technical Team 52

Corporate Innovation

FEBRUARY 11, 2016

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

Big Data 53

Big Data Data Strategy Strategy 53

Corporate Innovation

FEBRUARY 11, 2016

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

Big Data 53

Big Data Data Strategy Strategy 53

Paul Hobcraft

JANUARY 14, 2016

We all are caught up in handling and understanding different management tools. There are management tools that have become ‘enshrined’ in organizations and many of the executives become settled on the ones they have bothered to learn or seemingly do the job. Tracking the trends on Management Tools.

Tools 100

Tools Innovation Management Management Underperforming Technical Team 100

Tim Kastelle

MARCH 13, 2016

In addition to these still highly topical issues, we’d like to raise another four points which we personally foresee key for innovation management in the time to come – making no claim to completeness: Organizational Ambidexterity. It doesn’t always translate to managers, however. Who wants to be an exploiter?

Innovation Management 100

Innovation Management Underperforming Technical Team Management Innovation 100

IdeaScale

JANUARY 3, 2019

The financial sector is often seen as stodgy and slow to innovate, but the arrival of financial tech, or fintech for short, has forced change management and innovation strategy to the forefront. Everybody talks about big data, but fintech has an advantage in that it’s been working with data for decades.

Trends 113

Trends Big Data Crowdsourcing Data 113

Paul Hobcraft

NOVEMBER 26, 2015

There is this increasing need to understand and incorporate ecosystems, platforms, and the greater use of analytics, big data and reliance on technology into our innovation thinking. Value management is discovering, realizing and optimizing to achieve a greater performance. Lets tackle each part. The vision thing.

Management 100

Management Innovation Report Leadership 100

Paul Hobcraft

MARCH 27, 2018

These are big data analytics, the fast adoption of new technologies, mobile products and capabilities and digital design.See the above for the complete list on where innovation is heading, it makes interesting viewing. So the need to innovate comes from digital as the source.

Innovation 185

Innovation Radical Innovation Agile Design 185

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. Supply Chain During all of this transition to autonomous vehicles or ride services, digital transformation is also changing the supply chain.

Artificial Inteligence 209

Artificial Inteligence Innovation Big Data Agile 209

Idea to Value

JULY 1, 2020

The reasoning is that first, managers crave power and more people to order about and, second, more people create more work for each other. How many incompetent managers do you see? Performance management in practice means dividing people into two groups, the judges and the judged. According to Parkinson’s Law it’s still 10.

Big Data 149

Big Data Report LEAN Innovation 149

Acuvate

DECEMBER 7, 2022

Moreover, the most significant obstacle to water management has been the asset-intensive nature of the industry, with pipelines, pumps, and wells spread over acres of land, well beyond the control and management of a few plant operators. What is Smart Water Management?

Data 78

Data Artificial Inteligence Management Technical Review 78

Paul Hobcraft

MAY 9, 2023

To look forward, I would argue we always need to look back and account for the progress made in managing innovation over the years. Encouraged by applying these, we moved towards better design and thinking transparency, sharing in learning and celebrating success and being encouraged to build more dedicated time to innovate.

Artificial Inteligence 182

Artificial Inteligence Technical Review Innovation Agile 182

Corporate Innovation

FEBRUARY 11, 2016

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

Big Data 40

Big Data Data Strategy Strategy 40

eZassi

FEBRUARY 26, 2025

principles- such as the Industrial Internet of Things (IIoT), artificial intelligence (AI), and big data analytics- companies can predict equipment failures before they occur, reducing downtime, optimizing costs, and enhancing operational efficiency. This data is transmitted via IIoT networks to centralized systems for analysis.

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52

Acuvate

JANUARY 29, 2019

Companies like Danone leveraged machine learning enabled trade promotion forecasting tools and witnessed a reduction of 30% in lost sales. Machine learning offers the added boost to enhance the accuracy of forecasting. An additional benefit that machine learning offers is it improves the forecasting ability of these tools over time.

Artificial Inteligence 92

Artificial Inteligence Big Data Software Review Technical Review 92

Paul Hobcraft

FEBRUARY 1, 2018

A more integrated solution that takes our understanding of innovation and how to manage it, into the realms of ecosystems and platforms in its design and thinking. We need to consider how big data and analytics, technology and a far more creative thinking needs to be applied collectively but in greater constellations of partners.

Engagement 205

Engagement System Innovation Design 205

Jeffrey Phillips

FEBRUARY 20, 2019

It advocates: Determine a Use Case for the new technology or approach Train people to be more proficient users of the new technology Start small - find small successes This advice was true for the following list of management concepts: ERP Lean Agile Six Sigma Doing business on the internet and I suspect many, many more.

Training 179

Training Innovation LEAN Tools 179

Paul Hobcraft

OCTOBER 2, 2023

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

Design Thinking 147

Design Thinking Technical Review Design Technology 147

Jeffrey Phillips

DECEMBER 11, 2018

Better/Smarter As Artificial Intelligence, machine learning, big data, predictive analytics, IoT and a host of other technologies emerge, we'll capitalize on the data that is generated and managed by increasing our insights and beginning to spot trends as they emerge.

Artificial Inteligence 179

Artificial Inteligence Innovation Innovation Processes Big Data 179

hackerearth

MAY 4, 2017

“Building a startup is an exercise in institution building; thus, it necessarily involves management.”- This article builds the case for managing creativity and innovation with a similar discipline and rigor as any other management function, and the way more successful firms manage to manage innovation.

Management 74

Management Innovation Technical Review Ideation 74

mjvinnovation

MAY 24, 2019

In this context, Big Data provides important data about customer behavior. Big Data refers to data that grows unstructured and exponentially in the world and is driven by three factors: volume, variety and data rate. ” Guide the management and implementation of Big Data.

Big Data 40

Big Data Data Technical Review Video 40

Paul Hobcraft

JUNE 3, 2019

As manufacturers manage the lifecycle it opens up more options for innovation. As we learn to proactively manage products throughout their lifetime, applying the appropriate innovative solutions, depending on what stage products are at in the cycle we can leverage more options within our innovation activities.

Innovation 208

Innovation Data Design Software 208

ITONICS

JUNE 3, 2019

How machine learning is revolutionizing the search for trends and technologies. Summary: Today, innovation management is an important instrument for companies to remain competitive and successful in rapidly changing markets. The post Journal Article: Big Data in Innovation Management appeared first on.

Big Data 28

Big Data Innovation Management Data Artificial Inteligence 28

ITONICS

JUNE 3, 2019

How machine learning is revolutionizing the search for trends and technologies. Summary: Today, innovation management is an important instrument for companies to remain competitive and successful in rapidly changing markets. The post Journal Article: Big Data in Innovation Management appeared first on.

Big Data 28

Big Data Innovation Management Data Artificial Inteligence 28

Paul Hobcraft

MAY 26, 2017

We have never ‘cracked’ the full innovation management system. These evolutionary steps need to rethink how we look and management innovation. We have been steadily learning to adapt what we knew inside an organization with what we should increasingly listen to outside it. Perhaps we can today.

Innovation 160

Innovation Design Innovation Processes Agile 160

Jeffrey Phillips

MAY 31, 2019

We humans have this insight and understand the less overt concepts around meta-data because we have learned experience. None of these things can be accomplished without data. Where innovation and digital transformation are concerned, what matters is the data. Please ignore these arguments.

Data 129

Data Artificial Inteligence Innovation Big Data 129

Idea to Value

MARCH 11, 2016

The big upcoming leaps come from research into how machines can emulate the human thought process. In recent years, big data and deep learning algorithms, and the ability to spread processing power across thousands of computers in the cloud, is making this process more and more effective. Machine Learning.

Creativity 100

Creativity Big Data Data Technical Review 100

Acuvate

MARCH 16, 2019

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of. Myth 1: Only large companies with big data need data analytics.

Artificial Inteligence 80

Artificial Inteligence Data Technical Review Big Data 80

IdeaScale

JULY 3, 2018

There’s data coming at you from just about every direction these days, which is why every industry is trying to understand how to leverage and manage big data. To learn more about innovation in the healthcare sector, download our complimentary infographic on the subject.

Innovation 113

Innovation Data Big Data Trends 113

ExactHire - Innovation

JUNE 23, 2021

What is new is programmatic advertising that uses big data, machine learning, and predictive analytics to target the right audience. Programmatic advertising uses this information, collectively known as “big data,” to target consumers. Enter machine learning. Programmatic Advertising.

Software Review 84

Software Review Big Data Artificial Inteligence Software 84

Jeffrey Phillips

JANUARY 9, 2020

Many companies face at least three significant challenges where data is concerned: The data they have is noisy, inconsistent and incomplete , meaning that the existing data cannot be used effectively for digital tools like machine learning until it is cleaned and standardized.

Artificial Inteligence 134

Artificial Inteligence Data Tools System 134

Business and Tech

DECEMBER 27, 2021

Emerging technology and data applications are transforming how businesses acquire talent. Nick Schacht, SHRM-SCP Chief Global Development Officer, SHRM (Society for Human Resource Management). We are in unprecedented times. Talent is more essential for an organization’s success than it ever has been before. Retaining talent.

Technology 130

Technology Artificial Inteligence Policies Big Data 130

Paul Hobcraft

OCTOBER 18, 2022

The mechanism to manage time and pace in a highly dynamic, response way is often missing. How far has innovation management and its capacities come? Are organizations actively in pursuit of designing a more robust innovation management process? Organizations are often too early or too late to market.

Innovation 162

Innovation Software Review Technical Review Creative Process 162