Tullio Siragusa

FEBRUARY 13, 2023

Artificial Intelligence and Machine Learning Companies like Persado and Ayboll use AI and machine learning to automate marketing and advertising tasks, such as copywriting and ad targeting, reducing the need for human expertise.

Artificial Inteligence 118

Artificial Inteligence Company Competition Trends 118

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 Technical Review Artificial Inteligence 59

Ecosystems4Innovating

NOVEMBER 3, 2023

Design Thinking is seen as the essential element that will combine with technology and AI in the future yet it is still the need for the human touch will still be essential. As we form more around ecosystem thinking and design, design thinking will be essential as the significant enabler to creative input.

Design Thinking 97

Design Thinking Technical Review Design Technology 97

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

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? We humans have this insight and understand the less overt concepts around meta-data because we have learned experience.

Data 129

Data Artificial Inteligence Innovation Big Data 129

Tullio Siragusa

JULY 25, 2022

Unlocking Innovation with Data, Creativity, and Automation. For some, it may be through hard work and determination, while others may find success through innovation with creativity, data, and automation. In this podcast recap blog post, we will discuss how innovation derived from creativity, data, and automation can lead to success.

Data 118

Data Creativity Technical Review Innovation 118

Jeffrey Phillips

APRIL 8, 2019

I think there is great potential for digital transformation, especially big data and predictive analytics, to create new insights that lead to new innovations, but that seems to be still a few years away. Increasingly the focus within innovation is around design, human centered design and customer experience.

Artificial Inteligence 179

Artificial Inteligence Learning Technical Review Big Data 179

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.

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.

Big Data 58

Big Data Data System Artificial Inteligence 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. 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 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. 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 53

Big Data Data Strategy Strategy 53

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. Check it out!

Data 52

Data Examples Artificial Inteligence Project 52

etventure

JULY 24, 2019

Big Data, Artificial Intelligence – terms that have dominated the business world for quite some time and which, among other things, provide a large mass of data that not everyone knows how to deal with properly. In this way, human and artificial intelligence can be effectively combined.

Artificial Inteligence 40

Artificial Inteligence Data Training Course 40

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.

Data 52

Data Marketing Artificial Inteligence Design Thinking 52

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.

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. 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

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

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

mjvinnovation

APRIL 16, 2019

“Wait, but what does this have to do with Data Science?” In MJV, the infinity of the universe is represented by the amount of data we generate every day. It’s Big Data itself! So the question that remains is: how do you master this data universe and use it to your advantage?

Data 66

Data Meeting Artificial Inteligence Analysis 66

Imaginatik

JANUARY 25, 2018

This article provides a great insight into how the advances in the IoT, Big Data, Cloud Computing, and AI can be linked to major innovative disruptions in our healthcare services, manufacturing, and oil and gas industries. Will Artificial Intelligence become conscious? Ai or not Ai – that is the question?

Artificial Inteligence 113

Artificial Inteligence Innovation Disruption Big Data 113

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

Acuvate

FEBRUARY 21, 2022

Oil and gas companies are largely process-driven throughout the value chain. 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. And, why is that?

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52

Jeffrey Phillips

FEBRUARY 18, 2019

Blockchain and IoT provide greater oversight into where components are made and sourced, and big data helps identify cost issues, leading to more pressure on the supply chain. This means constant updates to how car parts and cars themselves are designed, manufactured and assembled. And this is just for the car companies.

Artificial Inteligence 209

Artificial Inteligence Innovation Big Data Technology 209

mjvinnovation

MARCH 11, 2020

a combination of networked devices, high-speed communication, and real-time data processing. IoE is moving towards becoming a network intelligent energy infrastructure system, collecting, organizing, and connecting individual information to and from other network management elements. 3- Internet of Things – Internet of Energy.

Artificial Inteligence 52

Artificial Inteligence Trends Marketing Internet of things 52

Acuvate

JULY 15, 2022

With the world gearing to reach 175 ZB of data by 2025, many organizations have realized that moving their data to the cloud is the need of the hour. Since these are two of the most popular cloud data warehouse platforms, organizations are always at a crossroads when choosing between the two. Azure Synapse Analytics?.

Comparison 52

Comparison Big Data Data Tools 52

mjvinnovation

SEPTEMBER 22, 2020

Large corporations have already taken the lead and are looking towards investing in digital. 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. New features? UX Writing.

Design 59

Design Artificial Inteligence Technical Review Meeting 59

Acuvate

JUNE 5, 2022

In today’s highly disruptive and digital-driven world, governments and public sector institutions at all levels are leveraging newfound opportunities to use data and emerging technologies to empower citizens and build more transparent, efficient, agile, and cost-effective services and programs. The result? Legacy infrastructure modernization.

Artificial Inteligence 52

Artificial Inteligence Data Agile Survey 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

Paul Hobcraft

APRIL 1, 2018

We all in the middle of a re-orientation of our ways to undertake innovation as a process and in its design. We are learning to connect in completely different ways. We are learning how to interact with a connected system as products move into products and digital, connected and combined.

Learning 189

Learning Design Innovation Technology 189

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

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. Underpinning Industry 4.0

Industry 52

Industry Artificial Inteligence Analysis Data 52

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

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. Additionally, the design concept must be prototyped and tested for quality and performance. Industry 4.0 Industry 4.0

Industry 52

Industry Software Review Technical Review Software 52

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

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

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. Automation and artificial intelligence underpin management. Data-driven factories, this is Industry 4.0. Data Governance.

Design 52

Design Technical Review Data Industry 52