Corporate Innovation

MAY 17, 2016

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. As a result, they don’t capture data of sufficient scale and they are not best in class yet at exploiting big data.

Big Data 40

Big Data Data Technical Review Meeting 40

Paul Hobcraft

MAY 9, 2023

I am working through what I think this should become in design and application, involving providing the key innovation building blocks as components of the innovation stack, using the innovation stack to guide platform development and the platform to support this innovation stack.

Artificial Inteligence 182

Artificial Inteligence Technical Review Agile Innovation 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. In this post, I present how the incumbent OEMs can address this challenge. To do so, automakers must: Think strategically and own the big data strategy.

Big Data 40

Big Data Data Strategy Strategy 40

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. With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Traditional automation, however, has its drawbacks.

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. With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Traditional automation, however, has its drawbacks.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

mjvinnovation

SEPTEMBER 3, 2020

It is no coincidence that data visualization has gained such relevance in recent years. Let’s start with what the data-driven mindset is! Data Culture goes far beyond a strategy that simply guides a company’s data. Don’t think that the data mindset is the result of infrastructure alone.

Data 59

Data Culture Technical Review Company 59

Paul Hobcraft

MAY 6, 2018

I recently applied the three horizons thinking to ‘frame’ a new innovation design. So the thinking intent of searching for a new innovation design had some framing assumptions that can leverage where we are to move towards a new future. This is a useful way to think about the initial 3H outcome.

Design 138

Design Innovation Agile System 138

Tullio Siragusa

FEBRUARY 13, 2023

However, the advertising and communications industry is highly competitive and faced with a threat from self-service technology companies such as Marketo, Pardot, Hubspot, Persado, Ayboll, Shopify, Magento, BigCommerce, Hootsuite, Buffer and Sprout Social.

Artificial Inteligence 118

Artificial Inteligence Company Competition Trends 118

mjvinnovation

OCTOBER 5, 2020

Regardless of industry or size, organizations that want to remain competitive in the era of Big Data need to develop and efficiently implement Data Science capabilities – or risk being left behind. Do you know what Data Science is? What is Data Science. How the Data Science Process Works.

Data 52

Data Examples Artificial Inteligence Project 52

mjvinnovation

NOVEMBER 30, 2020

As long as everyone is looking and breathing artificial intelligence, data is no longer a differential and becomes part of the mainstream. Data Science becomes another step in the process – a new normal. Analytical Culture: data as a driving force. Data Science + Marketing: the new funnel. Check it out!

Data 52

Data Marketing Artificial Inteligence Design Thinking 52

mjvinnovation

OCTOBER 18, 2019

Data Science is a multidisciplinary mix of data inference, algorithm development, and technology to solve analytically complex problems. What is Data Science and why is it so urgent to invest? The main advantage of Data Science in an organization is the empowerment and facilitation of decision making. Check it out!

Data 40

Data Artificial Inteligence Big Data Internet of things 40

mjvinnovation

JULY 21, 2020

Data Science is about mining large amounts of structured and unstructured data to identify patterns that can help an organization control costs, increase efficiency, recognize new market opportunities, and increase the organization’s competitive advantage. How can data be gathered/integrated? Hire data scientists.

Data 52

Data Artificial Inteligence Company Analysis 52

Paul Hobcraft

JUNE 3, 2019

The powerful effects of digitalization are opening up different business opportunities, the chance to design different business models and get far closer to the ultimate need, to understand the customers wishes from the products and services they are wanting to buy. We all see around us increasing disruption caused by digitalization.

Data 208

Data Innovation Design Marketing 208

mjvinnovation

SEPTEMBER 22, 2020

In this article, we will explain how Design can provide a differentiated experience for your customers. In addition, we must not lose sight of the combination of online and offline data. This is because the competition is always evolving and improving their services and products. UX: winning consumers’ hearts and attention.

Design 59

Design Artificial Inteligence Technical Review Meeting 59

mjvinnovation

FEBRUARY 4, 2021

To demystify the subject, we brought the Data Science steps applied in practice, and that can be incorporated into your company. 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.

Data 40

Data Artificial Inteligence Company Analysis 40

Paul Hobcraft

OCTOBER 18, 2022

In some recent posts, I argued that we need to adopt a broader innovation ecosystem thinking and design. Still, barriers do need to be consciously built into any new thinking as ones “to be resolved” in any new solution design. They need a more fluid, highly adaptive design. Let me outline many of these here.

Software Review 162

Software Review Innovation Design Technical Review 162

Destination Innovation

JULY 13, 2016

Design Competitions. You can host your competition and build your brand while simultaneously getting a host of free input. Data Collection. is a great way to handle big data without a big price tag. You choose a winner, implement and test the design, and save time and money. Instead of.

Crowdsourcing 100

Crowdsourcing Competition Big Data Examples 100

mjvinnovation

JANUARY 3, 2019

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. Big Data: data analysis is what really matters.

Design Thinking 40

Design Thinking Design Case Study Analysis 40

mjvinnovation

JANUARY 3, 2019

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. Big Data: data analysis is what really matters.

Design Thinking 40

Design Thinking Design Case Study Analysis 40

Idea to Value

JULY 1, 2020

In a competitive context, incompetence does not allow the mediocre to stay afloat for long and meritocracy is valuable and fair. Designers of performance management systems have many tools in their arsenal to make the judgement as “right” and as “fair” as possible.

Report 148

Report Big Data Leadership LEAN 148

Leapfrogging

AUGUST 9, 2017

Why is creating competitive differentiation increasingly difficult? Disrupt using data. More data has been created in the past two years than in the entire previous history of the human race. Autonomous vehicles will soon fill our streets, producing and collecting data as they go. Just look at Microsoft and Google.

Disruption 133

Disruption Tools Strategy Strategy 133

eZassi

AUGUST 29, 2023

With Innovation Management In today’s rapidly evolving business landscape, staying ahead of the competition requires embracing Industry 4.0 It’s all about embracing automation, artificial intelligence, big data, and the Internet of Things to optimize productivity, efficiency, and innovation across the supply chain.

Industry 52

Industry Software Review Technical Review Software 52

Acuvate

NOVEMBER 28, 2019

In the coming years, the transformative trends in the CPG industry will be driven by data and technology, services that focus on customer centricity and smart supply chains. Using Big Data and Advanced Analytics. Big Data and advanced analytics opens the floodgates of opportunities for CPG companies to use data to their benefit.

Trends 72

Trends Industry Big Data Technical Review 72

Ecosystems4Innovating

MARCH 21, 2024

This requires business ecosystem thinking and design. Businesses need to find new competitive battle zones as they exhaust the traditional ones. Digital transformation, big data analysis and the ubiquity of information are changing the knowledge game. Working in Ecosystems will change the nature of business activities.

Collaboration 52

Collaboration Competition Big Data Technology 52

Acuvate

JUNE 28, 2019

In fact, the International Data Corporation anticipates the total amount spent on digitalization globally will surpass $2.1 According to research from the International Data Group , 73 percent of businesses are already using the cloud in one capacity or another, and 17 percent say they plan to implement cloud-based solutions in the next year.

Technology 89

Technology Artificial Inteligence Big Data Data 89

Acuvate

FEBRUARY 21, 2022

For the O&G industry, too, the potential benefits of going digital were plenty — cost savings, safer operations, increased productivity, and improved resiliency to weather the unpredictability and remain competitive amidst rising demand for alternative, environmentally-friendly energy sources. And, why is that?

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52

mjvinnovation

NOVEMBER 26, 2020

To understand more about what happens (and can happen) with the Logistics and Supply Chain area, let’s share some insights from our Future Design and Anticipatory Innovation team. We are moving towards the end of feudal competitions. Data-driven factories, this is Industry 4.0. Data Governance.

Design 52

Design Technical Review Data Industry 52

mjvinnovation

MARCH 11, 2020

a combination of networked devices, high-speed communication, and real-time data processing. We need to rethink the business model to be competitive. 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.

Artificial Inteligence 52

Artificial Inteligence Trends Marketing Internet of things 52

mjvinnovation

JULY 13, 2021

These two terms were designed to explain the turmoil of their time, from a post-cold war world to the coronavirus pandemic. It’s not about analyzing a large amount of data; it’s about doing advanced analytics for the right KPIs. In a world of constant change, it helps to describe the current state of things.

Change 105

Change Company Artificial Inteligence Big Data 105

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

Acuvate

MARCH 12, 2019

We currently live in an era where data is the oil that drives businesses of all sizes. Having data insights gives organizations a competitive edge and helps make well-informed decisions. Businesses today aggregate large sums of data involving customer profiles, sales and marketing statistics, financial metrics etc.

Culture 76

Culture Artificial Inteligence Data Big Data 76

Taivara

MAY 30, 2018

A Better Data Visualization Tool? Testing a customized enclosure diagram approach to data visualization. Data visualization tools, as a means of making sense of the huge volumes of data available, is increasingly the go-to option and was cited in two of the top five 2018 ‘big data’ trends in a recent Information Age article.

Data 28

Data Tools Underperforming Technical Team Design 28

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. I, for one, do not think any completing of a single market as being pursued in Brussels will make Europe competitive. Investment in data analytics and cloud computing is already advanced.

Innovation 178

Innovation Artificial Inteligence Technical Review Report 178

Tim Kastelle

MARCH 13, 2016

BCG comments: (…) it appears that even within the technology sector, many companies are not getting the message; on average, only about a third of executives project big data and mobile will have a significant impact on innovation in their industries over the next three to five years.

Innovation Management 100

Innovation Management Management Underperforming Technical Team Big Data 100

Paul Hobcraft

APRIL 19, 2017

The report offered a selection of key visuals and overviews from 14 reports, which in turn were shortlisted from an original data set of 140 reports on the topic, ones published over the course of the last few years, that from my research, I found the most valuable. We need to become comfortable in the analytics of big data.

Report 168

Report Technology Engagement Data 168

Corporate Innovation

APRIL 25, 2017

In my book, The Big Data Opportunity in Our Driverless Future , I make two arguments: 1) that societal and urban challenges are accelerating the adoption of on-demand mobility, and 2) technology advances, including big data and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality.

Big Data 45

Big Data Data Technical Review System 45

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. Seeking combinations and applications where other aren’t looking is how competitive advantage is created. Data Analytics. Artificial Intelligence. Augmented Reality.

Technology 50

Technology Internet of things Ideation Artificial Inteligence 50