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

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 Innovation Agile 182

Planview

FEBRUARY 13, 2025

This shift leverages advanced technologies, automation, and integrated software platforms to create a more connected, efficient, and responsive network. These technologies enable real-time data collection, analysis, and sharing across all levels of the supply chain, fostering greater collaboration and agility.

Artificial Inteligence 52

Artificial Inteligence Agile Software Big Data 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

eZassi

MAY 11, 2018

What is Innovation Software? Innovation Software Helps Businesses Cultivate and Implement Innovation — Faster. Innovation software is a fairly recent development that was made possible by the rise in popularity of both cloud computing and social sharing platforms. How is Innovation Software Used? Idea Capture.

Software Review 53

Software Review Software Innovation Technical Review 53

Ecosystems4Innovating

NOVEMBER 2, 2023

Why is design thinking regarded as so crucial to the future of innovation in a world of accelerating interplays between humans, technology and generative AI? What will be the changes or potential to leverage these three of Design Thinking, Technology and AI Generative Thinking for solving innovation challenges in the future?

Design Thinking 59

Design Thinking Design Ideation Artificial Inteligence 59

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

JANUARY 3, 2017

However, the challenges created from the combination of ACE vehicles and Mobility Services along with the models they enable will be impossible to overcome with the industry’s “traditional” playbook that includes mixing of new designs, financial incentives, and more advertising under the same business models.

Big Data 40

Big Data Data Industry Software 40

Corporate Innovation

JANUARY 3, 2017

However, the challenges created from the combination of ACE vehicles and Mobility Services along with the models they enable will be impossible to overcome with the industry’s “traditional” playbook that includes mixing of new designs, financial incentives, and more advertising under the same business models.

Big Data 40

Big Data Data Industry Software 40

Corporate Innovation

JANUARY 3, 2017

However, the challenges created from the combination of ACE vehicles and Mobility Services along with the models they enable will be impossible to overcome with the industry’s “traditional” playbook that includes mixing of new designs, financial incentives, and more advertising under the same business models.

Big Data 40

Big Data Data Industry Software 40

Jeffrey Phillips

MAY 31, 2019

Digital transformation is either involved in creating more data (using sensors and IoT devices to gain more data), managing and understanding the data (Big Data, predictive analytics) or using data to make decisions or take actions (autonomous vehicles, robots, AI and machine learning).

Data 129

Data Artificial Inteligence Innovation Big Data 129

Qmarkets

AUGUST 20, 2024

In the race to stay competitive, the only constant is change—and nowhere is this more evident than in the realm of software innovation. What is Software Innovation? It’s about pushing the boundaries of what software can do—whether through groundbreaking new platforms, advanced algorithms, or enhanced user interfaces.

Software 52

Software Disruption Artificial Inteligence Innovation 52

Qmarkets

FEBRUARY 28, 2025

This requires profoundly rethinking how we produce, consume, and live within the limits of our planet (source: McKinsey ) Businesses that embrace this mindset are moving beyond short-term profits and designing solutions that ensure long-term success. AI and big data analytics track sustainability trends and emerging technologies.

Innovation 52

Innovation Trends Competition Strategy 52

Leapfrogging

AUGUST 9, 2017

Data is now “the new oil” given its power to drive new efficiencies and business models. Microsoft charges for the software, while Google monetizes its data through advertising. Whether you call it Big Data, Little Data, or the Internet of Things, data remains data until it meets a business model.

Disruption 133

Disruption Tools Strategy Strategy 133

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. So what comes next?

Creativity 100

Creativity Big Data Data Technical Review 100

Daniel Burrus

JANUARY 4, 2018

3 Big Data and the Use of High-Speed Data Analytics. Big data” is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data. Separating good data from bad data will also become a rapidly growing service. #4

Trends 0

Trends Technical Review Artificial Inteligence Technology 0

Anaqua

NOVEMBER 27, 2019

There’s been a lot of noise in the IP software and services industry again over the past few months as players in the space restructure along product lines and allude to ‘integration’ in product announcements and thought pieces. By Bob Romeo, CEO of Anaqua. Continuing Customer Focus Among Industry Changes. Client Success Is in Our DNA.

Roadmap 80

Roadmap Software Product Development Big Data 80

Acuvate

JUNE 28, 2019

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. 4 Big Data. Today’s society generates massive amounts of data. Marie Johnson.

Technology 89

Technology Artificial Inteligence Big Data Data 89

Acuvate

NOVEMBER 28, 2019

Using Big Data and Advanced Analytics. Retailers and CPG companies capture torrential amounts of data from transactions and also have access to a wide array of information from the media. 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

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. Clearly, there is room for improvement! “By

Creativity 118

Creativity Data Technical Review Innovation 118

Tullio Siragusa

FEBRUARY 13, 2023

For example, they can create bespoke campaigns that are designed to meet a client’s specific objectives, rather than relying on generic, one-size-fits-all solutions. This includes the use of big data analytics, predictive modeling, and other advanced tools to provide more effective and targeted advertising and PR campaigns.

Artificial Inteligence 118

Artificial Inteligence Company Trends Competition 118

Corporate Innovation

JULY 17, 2017

In my book The Big Data Opportunity In Our Driverless Future I identify two distinct value chains that have been established because of the car ownership-centric model that has been dominant for the past 70+ years: the vehicle manufacturing and sale value chain , and the vehicle use value chain.

Analysis 56

Analysis Big Data Data Software 56

eZassi

AUGUST 29, 2023

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. This includes engineers, designers, production managers, and other stakeholders who must work together to integrate AM into the production facility.

Industry 52

Industry Software Review Technical Review Software 52

Paul Hobcraft

DECEMBER 2, 2016

The communication means, the choice of apps and software, the growing use of the cloud are allowing us to change. We are encouraging more innovation hacks, providing different designs of crowdsourcing for funding, ideas, and understanding. It is a place designed to scale, adapt and adjust and be easy to enter, engage and interact.

Innovation 100

Innovation Technical Review Collaboration Software Review 100

Harvard Business Review

SEPTEMBER 17, 2012

That's what the software architect Grady Booch had in mind when he uttered that famous phrase about fools and tools. We often forget about the human component in the excitement over data tools. Consider how we talk about Big Data. He encourages the use of data-rich illustrations with all the available data presented.

Big Data 17

Big Data Data Artificial Inteligence Software 17

Open Innovation EU

OCTOBER 11, 2017

Collaborative engineering: a term mainly used in conventional manufacturing and production industry, with a focus on collaboration between two or more partners in the full process of design, engineering and manufacturing with multidisciplinary teams and supply chain integration. Route 10: Co-design. Route 6: Co-learning.

Open Innovation 85

Open Innovation Crowdsourcing Innovation Collaboration 85

Acuvate

JULY 15, 2022

Formerly known as Azure SQL Data Warehouse, and now as Azure Synapse, this data warehousing platform is Microsoft’s limitless data analytics service that encompasses enterprise data warehousing, data integration, and big data analytics, all under a single roof. Snowflake?. PaaS vs. SaaS. Scalability.

Comparison 52

Comparison Big Data Data Tools 52

Qmarkets

JANUARY 17, 2023

The two greatest revolutions in road vehicle design since the invention of the car are not just far closer together than one would expect, they’re happening simultaneously. Mobility-as-a-Service (MaaS) Big data is enabling radical changes to the way customers can plan and pay for public transport.

Industry 98

Industry Innovation Trends Technology 98

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

Innovation 360 Group

OCTOBER 8, 2017

She had championed incubation of emerging growth business focusing on Software-as-a-Service, Internet-of-things, Big Data analytics with responsibilities spanning from Business Development, Product Development, Product management and Product Marketing. Design Thinking. Area of expertise: Innovation Strategy.

Internet of things 40

Internet of things Big Data Design Thinking Software 40

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. Start implementing data culture now. Design Thinking. Data integration. Use a Big Data platform.

Data 59

Data Culture Technical Review Company 59

Acuvate

JULY 8, 2019

A majority of the IT services spend today goes towards keeping the lights on- maintaining existing enterprise applications, keeping systems in shape, and taking care of software that is critical to the business- no matter how obsolete they get. The inefficiency, limited visibility, and inflexibility of outdated software becomes a liability.

Tips 53

Tips System Software Data 53

Corporate Innovation

AUGUST 31, 2015

The Model 3 will also need to be designed in a way that it can be manufactured at the cost/copy that will enable Tesla to produce 500,000 cars/year and achieve its target unit economics. I have already written about the software and data opportunity presented by next-generation vehicles and by Mobility Services.

Disruption 53

Disruption Innovation Data Software 53

Corporate Innovation

AUGUST 31, 2015

The Model 3 will also need to be designed in a way that it can be manufactured at the cost/copy that will enable Tesla to produce 500,000 cars/year and achieve its target unit economics. I have already written about the software and data opportunity presented by next-generation vehicles and by Mobility Services.

Disruption 53

Disruption Innovation Data Software 53

Acuvate

FEBRUARY 21, 2022

From upstream to downstream activities, operations are designed to bring routine to the working environment. Leveraging AI, Big Data, IoT, and Analytics to boost data-driven decision-making. A significant amount of this data gets siloed within different geographies, business lines, and single-operating units.

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52