Paul Hobcraft

OCTOBER 18, 2022

I am on a personal mission to convince innovation software providers, corporations and innovators to change how they undertake innovation. In some recent posts, I argued that we need to adopt a broader innovation ecosystem thinking and 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

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 Technology 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 Technology 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 Technology 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

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 Technical Review Innovation 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 Agile Innovation 182

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

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

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

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

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

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

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

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

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

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

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

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 Competition Trends 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 Examples 56

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 Product Development 40

hackerearth

NOVEMBER 20, 2017

In 2014, Cisco Entrepreneurs in Residence , a startup innovation program, was launched to embrace “openness” and transform the IoT/IoE and Big Data spaces. Rick Tywoniak, senior director of Cisco's DevNet Community, believes collaboration with startups is the cornerstone of innovation strategy if Cisco must compete and thrive.

Open Innovation 91

Open Innovation Company Crowdsourcing Innovation 91

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

Data 118

Data Creativity Technical Review Innovation 118

mjvinnovation

OCTOBER 18, 2019

With the growth of the Internet, the Internet of Things and the exponential increase in the volumes of data produced, there was a flood of new information – or Big Data. The data scientist: defines the problem; identifies the main sources of information; designs the structure for collecting and sorting the required data.

Data 40

Data Artificial Inteligence Big Data Internet of things 40

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

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

mjvinnovation

AUGUST 11, 2020

Here at MJV, we use mixed squads, including team leaders, designers, and strategists from our facilities in Lisbon, and back-end software development provided by our teams in Brazil. BI & Big Data. Technology is largely responsible for easing barriers, making all places accessible. . Digital Transformation.

Technical Review 52

Technical Review Software Review Data Big Data 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 Trends Innovation Technology 98

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 Data Software 53

mjvinnovation

SEPTEMBER 23, 2020

The situation changed in the 2010s, with the development of IoT, Artificial Intelligence, Big Data, and Cloud Computing. First, smart components that use sensors to collect real-time data on status, working conditions, and position are integrated into a physical item. So, what is this technology?

Technical Review 52

Technical Review Technology Artificial Inteligence Internet of things 52

The Inovo Group

JANUARY 28, 2019

A third model – the knowledge/flow model – offers an alternative perspective and approach to designing and building an innovation system. The innovation stack is analogous to a ‘full-stack’ in software. Software stacks are used to develop complex software applications. Stacks and Stacks. The Stack in Full-Stack.

Underperforming Technical Team 40

Underperforming Technical Team Software Innovation System 40

mjvinnovation

DECEMBER 1, 2020

2- The others are organizations that assume Big Data is the way, believing they need advanced technology and colossal amounts of data to generate results. This segment gives up the disruptive potential of data. Design helps a lot: Using colors in your graphics helps in telling the story more efficiently.

Data 45

Data Analysis Big Data Tips 45

The BMI Lab Blog

NOVEMBER 23, 2022

Furthermore, companies that have a dominant role in an industry and can collect a high volume of data are more likely to be successful with the Data as a Service business model. Facebook , the social network platform, offers a wide variety of user data anonymously to third-party providers and software development companies.

Data 52

Data Technical Review How To Big Data 52

Daniel Burrus

DECEMBER 13, 2016

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.

Trends 0

Trends Technical Review Artificial Inteligence Software Review 0

Acuvate

FEBRUARY 11, 2022

and the next-gen of mobility is the rapid emergence of artificial intelligence, intelligent automation, predictive analytics, and Big Data – delivering real-time insights to enable powerful innovation and transform the way automotive companies operate. Building connected driver experiences in the era of “software-defined vehicles.”.

Industry 52

Industry Artificial Inteligence Analysis Data 52

mjvinnovation

JULY 6, 2020

In addition to our technical skills and agile, user-centered design practices, at MJV we propose several collaboration models – including high-impact, quality teams at affordable costs. Digital Design Thinking. Software Development (Web & Mobile Apps), Data Science, DevOps, BI & Big Data, Security and Vulnerabilities.

Agile 40

Agile Project Culture Big Data 40