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. We “pull down” what is needed. It adjusts and you learn.

Design 232

Design Technical Review Innovation Agile 232

Leapfrogging

MARCH 14, 2025

These technologies analyze a wide range of datafrom emotional cues in speech to decision-making patterns. Personalization Tailors coaching plans to individual needs using personalized data. Data-Driven Insights Utilizes big data to provide actionable, evidence-based recommendations.

Underperforming Technical Team 130

Underperforming Technical Team Artificial Inteligence Leadership Technical Review 130

Leapfrogging

MARCH 14, 2025

AI technology is revolutionizing leadership coaching by providing advanced tools and insights that enhance the development of leaders. By harnessing big data and machine learning algorithms, these tools offer deep insights into individual and team metrics. There is a risk of collecting more data than necessary.

Tools 130

Tools Management Artificial Inteligence Leadership 130

Leapfrogging

MARCH 3, 2025

Data Analysis Technique Benefits Machine Learning Algorithms Identifies hidden patterns Natural Language Processing Analyzes customer feedback and sentiment Big Data Analytics Processes large datasets efficiently These insights aid in making more informed decisions and crafting tailored strategies for your clients.

Strategy 130

Strategy Strategy Change Artificial Inteligence 130

Leapfrogging

NOVEMBER 8, 2024

Leveraging Technology for Innovative Solutions Tech is the MVP in rolling out fresh strategies. Here are some tech routes you might explore: Big Data Analytics : Dive into data to see what makes your customers tick, and spot trends and efficiencies.

Artificial Inteligence 113

Artificial Inteligence Innovation Internet of things Strategy 113

Paul Hobcraft

AUGUST 26, 2015

Our innovation systems are lagging significantly behind. The whole discovery to final execution, is for most organizations still a very fragmented, often disconnected system. It is highly reliant on manual systems with people often disconnected from the real innovation engagement making decisions on inadequate data or insights.

Technical Review 100

Technical Review Technology Innovation Internet of things 100

Paul Hobcraft

APRIL 1, 2018

We are learning how to interact with a connected system as products move into products and digital, connected and combined. The new environment is one where the product needs to be always on, to be able to perform, to extract greater value by being part of a larger system of design. Technology is changing the innovation game.

Learning 189

Learning Innovation Design Artificial Inteligence 189

Acuvate

MARCH 19, 2020

What offers solace though is the fact that we are now in possession of powerful data analytics tools and AI technology that helps us surveil an outbreak, predict its spread and in turn minimise its impact. TECHNOLOGY ON THE FRONTLINES OF COVID-19. Using Big Data to Track the Spread of the Virus.

Big Data 69

Big Data Artificial Inteligence Data Analysis 69

Idea to Value

SEPTEMBER 7, 2019

the digital landscape and physical technologies are growing increasingly connected. There’s a closer relationship between people, objects, devices, and the data we generate every day. uses close alignment with innovative technology to ensure that manufacturers can gain critical insights about day-to-day operations. Industry 4.0

Industry 231

Industry Leadership Artificial Inteligence Training 231

Acuvate

JUNE 28, 2019

ZDnet defines today’s digital transformation as , “using digital technologies to remake a process to become more efficient or effective. The idea is to use technology not just to replicate an existing service in a digital form, but to use technology to transform that service into something significantly better.”.

Technology 89

Technology Artificial Inteligence Big Data Data 89

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

Corporate Innovation

OCTOBER 3, 2017

In my book and previous posts I build a broad case for the importance of big data and AI in next-generation mobility , and provide several examples of data that is being collected, or can be collected, in a variety of transportation and logistics situations. Six Use Cases For Autonomous Vehicles. Cars used for ride-hailing.

Big Data 58

Big Data Data System Technology 58

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

Digital Tonto

JUNE 22, 2016

The challenge is to take a balkanized world of data, made up of disparate islands and integrate it into a single, unified environment in which we can work effectively. Related posts: A New Era For. [[ This is a content summary only. Visit my website for full links, other content, and more! ]].

Big Data 79

Big Data Data System Technology 79

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

Planview

FEBRUARY 13, 2025

Traditionally, supply chains were linear and compartmentalized, heavily reliant on manual processes, paper-based documentation, and isolated systems. This shift leverages advanced technologies, automation, and integrated software platforms to create a more connected, efficient, and responsive network.

Artificial Inteligence 52

Artificial Inteligence Agile Software Big Data 52

Daniel Burrus

JANUARY 4, 2018

I have been writing about each one of these technology trends for many years, but for one to make it on my Top 20 list, it has to be developed enough for you to apply it to exponentially grow your business. 2 Adaptive and Predictive Cybersecurity Systems. 3 Big Data and the Use of High-Speed Data Analytics.

Trends 0

Trends Technical Review Artificial Inteligence Technology 0

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

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. Applying technology across a connected platform environment begins to change that. Enabling technology and processes. Rapidly altered environments.

Innovation 162

Innovation Software Review Technical Review Creative Process 162

IdeaScale

MAY 30, 2017

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? Is it the security of the cloud? How is European law responding to the changing trends in intellectual property?

Trends 28

Trends Internet of things Crowdsourcing Big Data 28

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. So as we seek out greater applied science knowledge we will use it to support and develop practical applications based on technology and innovation.

Innovation 160

Innovation Design Innovation Processes Agile 160

Sopheon

APRIL 18, 2023

With over 30 years of experience, Mike Bauer is a product and strategy executive who has managed and overseen more than 100 products across data communication, enterprise software, connected products, the Internet of Things (IoT), marketing automation, embedded systems, and big data.

Trends 98

Trends Management Internet of things Big Data 98

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

Corporate Innovation

MAY 17, 2016

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

Big Data 40

Big Data Data Technical Review Meeting 40

Corporate Innovation

MAY 17, 2016

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

Big Data 40

Big Data Data Technical Review Meeting 40

Corporate Innovation

MAY 17, 2016

Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Further imagine that I opt in to allow my automaker to access my calendar and my Uber data.

Big Data 40

Big Data Data Technical Review Meeting 40

Paul Hobcraft

APRIL 19, 2017

Digital transformation is doubly difficult, it forces us to work with mostly emerging, constantly evolving technologies, and then apply these in an integrated way into an existing business. Beyond making a series of incremental improvements to become cloud-ready, we are supposed to reflect social, mobile and digital technologies.

Report 168

Report Technology Engagement Data 168

Digital Tonto

OCTOBER 25, 2017

The truth is that data security and operational excellence go hand-in-hand Related posts: If Big Data Is To Live Up To Its Promise, We Need To Fix Our Data Systems. How Big Data Can Create Real. [[ This is a content summary only. Visit my website for full links, other content, and more! ]].

Data 85

Data Big Data System Technology 85

Paul Hobcraft

MAY 9, 2023

Then we moved into an era of technology-associated innovation These are building on a higher reliance on AI, Technology, and Digital approaches, connecting more to the customer and more collaborative across organizations. Briefly, I summarize what these have been bringing into innovative thinking.

Artificial Inteligence 182

Artificial Inteligence Technical Review Innovation Agile 182

Jeffrey Phillips

JANUARY 9, 2020

Please don't misunderstand me - I think the emerging technologies that support a true digital transformation are amazing, and have the power to provide more benefits to customers and to create more insights and more profits for companies than ever before. Mark Twain said that that history does not repeat itself, but it does rhyme.

Artificial Inteligence 134

Artificial Inteligence Data Tools System 134

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

Corporate Innovation

JANUARY 3, 2017

In addition to technology, the next-generation mobility playbook must be based on personalized transportation experiences that can be monetized under a new set of business models. But many of the technologies that enable ACE vehicles and certain Mobility Services will become table stakes rather than differentiators.

Big Data 40

Big Data Data Industry Software 40