Paul Hobcraft

SEPTEMBER 15, 2017

We design the innovation system we need after we know what we are trying to achieve in the challenge or idea. We need to adapt our system thinking to the challenge identified, not the other way around, that of trying to fit them into a generically designed process. It adjusts and you learn. We “pull down” what is needed.

Design 232

Design Technical Review Innovation Agile 232

Acuvate

MARCH 19, 2020

Be it big data, predictive analytics tools or even AI powered service robots, technology plays a huge role in tracking the pandemic, assessing its spread, and working towards its containment. This raw data is then analyzed with machine learning algorithms to identify patterns and trends. Process Healthcare Claims.

Big Data 69

Big Data Artificial Inteligence Data Analysis 69

Corporate Innovation

JANUARY 25, 2016

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. There is much less conversation about the fifth dimension. Automakers must change their perspective.

Big Data 58

Big Data Data System Artificial Inteligence 58

Corporate Innovation

JANUARY 25, 2016

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. There is much less conversation about the fifth dimension. Automakers must change their perspective.

Big Data 58

Big Data Data System Artificial Inteligence 58

Leapfrogging

NOVEMBER 8, 2024

Check the Score : Put systems in place to see how your innovative ventures are paying off. Keep Learning: Offer courses and sessions so your bunch stays sharp and on par with the times. Always Be Learning : Stay in the know with hot-off-the-press industry happenings and the latest in tech.

Strategy 113

Strategy Strategy Innovation Artificial Inteligence 113

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

mjvinnovation

MARCH 10, 2020

At the same time, insurers have also understood that they need a Big Data strategy for various purposes. Continue reading and understand how Big Data can help insurers avoid headaches and financial damage! What is Big Data. ” Real Time Big Data. ” Real Time Big Data.

Big Data 52

Big Data Data Strategy Strategy 52

Paul Hobcraft

JUNE 18, 2019

The second view we always need to consider is a “System thinking” one. I really love this visual for system thinking that outlines the key insights and tools needed to develop and advance a systems mindset for dealing with complex problem solving and transitioning to the Circular Economy. Does it go beyond the existing?

Innovation 217

Innovation Design Thinking Design System 217

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

Paul Hobcraft

JUNE 3, 2019

Our innovation insights are badly lagging, with the effect being the solutions offered are not ‘tuned’ into the present and anticipated needs, as they often lack dynamic data. We need to ditch much of our existing innovation processes and practices, reliant on manual systems and so often trapped in silos of knowledge.

Innovation 208

Innovation Data Design Software 208

IdeaScale

MAY 30, 2017

Or message me to learn about a private event in Milan, Italy on June 27th. What are the most potent challenges when it comes to crowdsourcing systems? Is it big data, the internet of things, wearable technology, smart cities, or something else entirely? Join us for a half-day workshop in Germany on June 20th.

Trends 28

Trends Internet of things Crowdsourcing Big Data 28

Idea to Value

JULY 1, 2020

Designers of performance management systems have many tools in their arsenal to make the judgement as “right” and as “fair” as possible. There are assessments for nearly everything and big data will probably provide more on the less tangible things like creativity and likeability.

Big Data 149

Big Data Report LEAN Innovation 149

Acuvate

JANUARY 29, 2019

A large majority of the companies are still dependent on Legacy Systems, Sales and Operations Planning (S&OP) applications, integrated Enterprise Resource Planning (ERP) and homegrown trade promotion solutions. Another issue specifically with legacy systems is that they contribute to internal fragmentation of trade marketing data.

Artificial Inteligence 92

Artificial Inteligence Big Data Software Review Technical Review 92

Corporate Innovation

JANUARY 25, 2016

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. There is much less conversation about the fifth dimension. Automakers must change their perspective.

Big Data 40

Big Data Data System Artificial Inteligence 40

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

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

MAY 31, 2019

In my last post I tried to illustrate the importance (and the challenges) of data to digital transformation. This is often a complex and difficult idea for people to understand - why is "data" so hard? Why can't computer systems work more effectively? None of these things can be accomplished without data.

Data 129

Data Artificial Inteligence Innovation Big Data 129

Paul Hobcraft

OCTOBER 18, 2022

These barriers do not ‘magically’ change by delivering what I believe moves us to a better system for innovation, that of an ecosystem and platform architecture. It needs access to the best tools and techniques for foresight and interaction as equally critical and needed to build into any robust systems of the future.

Innovation 162

Innovation Software Review Technical Review Creative Process 162

Paul Hobcraft

MAY 26, 2017

We have never ‘cracked’ the full innovation management system. We design the innovation system we need after we know what we are trying to achieve in the challenge or idea. We have been steadily learning to adapt what we knew inside an organization with what we should increasingly listen to outside it.

Innovation 160

Innovation Design Innovation Processes Agile 160

Jeffrey Phillips

JANUARY 9, 2020

There were financial applications, manufacturing applications and customer service applications but no unified, enterprise application that integrated systems and data across all the functions. SAP changed that, taking the market by storm and changing our expectations about software solutions and data integration.

Artificial Inteligence 134

Artificial Inteligence Data Tools System 134

Corporate Innovation

JANUARY 3, 2017

As I argue in my new book The Big Data Opportunity in Our Driverless Future , the key differentiators will be the personalized transportation experiences that can be offered by properly combining these technologies and services with insights derived from the continuous exploitation of big data collected from inside and outside the vehicle.

Big Data 40

Big Data Data Industry Software 40

Corporate Innovation

JANUARY 3, 2017

As I argue in my new book The Big Data Opportunity in Our Driverless Future , the key differentiators will be the personalized transportation experiences that can be offered by properly combining these technologies and services with insights derived from the continuous exploitation of big data collected from inside and outside the vehicle.

Big Data 40

Big Data Data Industry Software 40

Corporate Innovation

JANUARY 3, 2017

As I argue in my new book The Big Data Opportunity in Our Driverless Future , the key differentiators will be the personalized transportation experiences that can be offered by properly combining these technologies and services with insights derived from the continuous exploitation of big data collected from inside and outside the vehicle.

Big Data 40

Big Data Data Industry Software 40

Paul Hobcraft

MAY 9, 2023

I think of the Gartner Hype Cycle here as we have gone through each of the stages of recognition of the application and the learning from this; we have the innovation triggers first, then a peak or inflated expectations, followed by troughs of disillusionment and finally by the slope of enlightenment, to give a new plateau of productivity.

Artificial Inteligence 182

Artificial Inteligence Technical Review Innovation Agile 182

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

Paul Hobcraft

NOVEMBER 29, 2019

To have any chance to reverse these temperature rises there is an increasing emphasis on innovation solutions within the technology that is required for the Worlds energy system. Artificial Intelligence and Big Data. View the opening introductions on the “ home page ” and scroll down. Behind-the-meter batteries.

Technology 162

Technology Report Innovation Artificial Inteligence 162

IdeaScale

NOVEMBER 8, 2018

The models of cable subscriptions and broadcast advertising were steadily profitable, proven, and well-integrated in any number of systems. Consider the computer processor; as computing power has improved, incrementally, it’s had an enormous impact on our lives in ways we don’t often appreciate, from safer cars to big data.

Disruption 124

Disruption Video Big Data Industry 124

Acuvate

JANUARY 23, 2020

With the advancements in natural language processing (NLP), Big Data, artificial intelligence (AI) and automation, businesses are replacing their traditional Business Intelligence (BI) systems with modern automated BI systems over the last few years. with BI systems. Wrapping Up.

Artificial Inteligence 98

Artificial Inteligence System Data Big Data 98

Paul Hobcraft

SEPTEMBER 27, 2017

They are not yet tuned into those more integrated systems of collaboration, where platforms and ecosystems are critical to making improved progress, advanced by multiple contributions to the discovery and exploration stages, where there is a new potential force of collaborative breakthroughs.

Artificial Inteligence 138

Artificial Inteligence Collaboration Technical Review Industry 138

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. Where is innovation within this?

Design 138

Design Innovation Agile Collaboration 138

Tullio Siragusa

JULY 25, 2022

The Tech Backstage Podcast is a live streamed video podcast that goes behind the scenes with today’s leaders of industry to learn what technologies are solving business problems, and how Design Thinking applied to the future of technology is impacting the world. Anyone can learn to be creative if they put in the effort. Pet Markt Co.

Creativity 118

Creativity Data Technical Review Innovation 118

Paul Hobcraft

APRIL 19, 2017

We need to become comfortable in the analytics of big data. Much will come towards us as we adapt, learn and experiment, with many emerging technologies, all in different stages of their evolution. It is shaping the ways we will work in the future, on how we are going to connect, communicate, and learn.

Report 168

Report Technology Engagement Data 168

Acuvate

DECEMBER 7, 2022

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. What is Smart Water Management?

Data 78

Data Artificial Inteligence Management Technical Review 78

Acuvate

JUNE 28, 2019

With digital transformation, companies are re-evaluating everything they do, from internal systems to online and in-person customer interactions. Learn More: Enterprise AI: The Adoption Strategy & Practical Solutions. #3 4 Big Data. Today’s society generates massive amounts of data.

Technology 89

Technology Artificial Inteligence Big Data Data 89

ITONICS

JUNE 3, 2019

How machine learning is revolutionizing the search for trends and technologies. In this research project, ITONICS is actively involved in the development of an automated environmental scanning system for SMEs. Large amounts of data are available for this purpose, from which the relevant information must first be filtered out.

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. In this research project, ITONICS is actively involved in the development of an automated environmental scanning system for SMEs. Large amounts of data are available for this purpose, from which the relevant information must first be filtered out.

Big Data 28

Big Data Innovation Management Data Artificial Inteligence 28