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.

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Data Creativity Technical Review Innovation 118

etventure

DECEMBER 7, 2018

At the Data Natives Conference in Berlin for three days it was all about data, technologies and innovation: 4 stages, more than 100 speakers and around 1,600 visitors. In his speech “Big Data is dead” he explained how companies can generate real added value from their data.

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Big Data Data Conference Artificial Inteligence 40

Acuvate

DECEMBER 7, 2022

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. How are sustainable technological solutions enabling Smart Water Management (SWM)?

Data 78

Data Artificial Inteligence Management Technical Review 78

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.

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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.

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Big Data Data System Artificial Inteligence 58

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.

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Design Thinking Technical Review Design Technology 97

Acuvate

APRIL 12, 2023

But before that, let’s understand where the manufacturing world is with Smart Factory today and where this technological intervention is headed. In addition, the increased efficiency of these technologies has made it possible to keep up with rising consumer demands and shorten production timelines.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

Acuvate

APRIL 12, 2023

But before that, let’s understand where the manufacturing world is with Smart Factory today and where this technological intervention is headed. In addition, the increased efficiency of these technologies has made it possible to keep up with rising consumer demands and shorten production timelines.

Data 52

Data Artificial Inteligence Technical Review Big Data 52

ITONICS

JUNE 3, 2019

How machine learning is revolutionizing the search for trends and technologies. Large amounts of data are available for this purpose, from which the relevant information must first be filtered out. Through the application of modern methods of machine learning and mathematical algorithms, this can be highly automated.

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Big Data Innovation Management Data Artificial Inteligence 28

ITONICS

JUNE 3, 2019

How machine learning is revolutionizing the search for trends and technologies. Large amounts of data are available for this purpose, from which the relevant information must first be filtered out. Through the application of modern methods of machine learning and mathematical algorithms, this can be highly automated.

Big Data 28

Big Data Innovation Management Data Artificial Inteligence 28

Paul Hobcraft

APRIL 1, 2018

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. So are you learning a new innovation language? As we gain understanding we are getting more fluid, we learn and adjust to constantly improve.

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Learning Design Innovation Technology 189

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

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.

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Big Data Data Industry Technology 40

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 Technology 40

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 Technology 40

Acuvate

MARCH 16, 2019

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact. Myth 2: Data Analytics is extremely expensive.

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Data Artificial Inteligence Technical Review Big Data 80

etventure

AUGUST 4, 2020

Many of the most groundbreaking technologies of our time (e.g. Deep Learning) require access to huge amounts of data to reach their full potential. Europe, in particular, has created an early link between Big Data and startups by launching state-funded incubation programs such as the European Data Incubator years ago.

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Data Big Data Artificial Inteligence Technical Review 52

Acuvate

JANUARY 13, 2020

While organizations today generate and capture a vast amount of raw data, they fail to effectively harness the potential business of this data. Extracting insights from raw data and making data-driven decisions has now become pertinent to organizations around the world. Compile all the raw data.

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Data Artificial Inteligence Analysis Big Data 90

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.”.

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Technology Artificial Inteligence Big Data Data 89

Paul Hobcraft

MAY 9, 2023

I think of the Gartner Hype Cycle here as we have gone through each of the stages of recognition of the application and the learning from this; we have the innovation triggers first, then a peak or inflated expectations, followed by troughs of disillusionment and finally by the slope of enlightenment, to give a new plateau of productivity.

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Artificial Inteligence Technical Review Agile Innovation 182

InnovationManagement

FEBRUARY 15, 2019

While the business industry—much like the American educational system—has been slow to the uptake of implementing technological advancements into their marketing and planning strategies, the 2020s herald a new age for the use of data and technological advancement in companies big and small.

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Data Company Big Data Culture 61

Paul Hobcraft

NOVEMBER 29, 2019

To have any chance to reverse these temperature rises there is an increasing emphasis on innovation solutions within the technology that is required for the Worlds energy system. Artificial Intelligence and Big Data. View the opening introductions on the “ home page ” and scroll down. Behind-the-meter batteries.

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Technology Report Policies Innovation 162

IdeaScale

JANUARY 3, 2019

Every time there’s a data breach, people rush to the bank, or its app, to change their passwords and security questions. Everybody talks about big data, but fintech has an advantage in that it’s been working with data for decades. Asking employees what they see in the data can lead to new approaches and ideas.

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Trends Big Data Crowdsourcing Data 113

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? An interplay between humans, technology, and generative AI holds real future promise for offering outstanding contributions in collaborations, originality and different insights.

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Design Thinking Design Technical Review Artificial Inteligence 59

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!

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Data Artificial Inteligence Big Data Internet of things 40

mjvinnovation

APRIL 15, 2019

In the coming weeks, we will post a series of posts here on the blog, where we will explain the details of the transformations guided by the new Data Age – which still faces a lot of different organizations. The Data Revolution: Which side do you want to stay in? The Data Revolution: Which side do you want to stay in?

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Data Artificial Inteligence Internet of things Analysis 66

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. Here are our seven steps to implement Data Science in your business: 1.

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Data Artificial Inteligence Company Analysis 52

mjvinnovation

AUGUST 31, 2020

With the regulation of Open Banking and data sharing by financial institutions, UX becomes an invaluable tool. The Digital Revolution brought about intense and rapid technological changes, transforming our daily lives and the market itself. Fintechs have in their DNA the perfect combination of UX and technology.

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Technology Big Data Data Design 52

Acuvate

OCTOBER 10, 2022

Artificial intelligence has opened up a whole new spectrum of possibilities in the oil and gas value chain, enabling proactive and predictive asset management, boosting data-driven decision-making, building a connected employee base, and ensuring the health and safety of the workforce. AI Applications in the Oil and Gas Industry.

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Artificial Inteligence Industry Big Data Data 66

mjvinnovation

JANUARY 17, 2020

It is also about generating value for businesses by using their data creatively. The purpose of this article is to demystify Data Science. To understand in detail why we should utilize this science into our businesses and how to start doing so: Why invest in Data Science. How to start building a Data Science strategy.

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Data How To Big Data 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?

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Data Meeting Artificial Inteligence Analysis 66

mjvinnovation

SEPTEMBER 23, 2020

What Digital Twins Technology is and How It Works. The situation changed in the 2010s, with the development of IoT, Artificial Intelligence, Big Data, and Cloud Computing. So, what is this technology? These components are connected to a cloud-based system that receives and processes all the data that the sensors monitor.

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Technical Review Technology Artificial Inteligence Internet of things 52

Acuvate

NOVEMBER 22, 2019

In 2017, The Economist reported that data is the oil of the digital era and has dethroned oil as the most valuable resource in the world. But unlike oil, extracting, maneuvering, filtering, refining and storing the continuous stream of data from various internal and external sources is a herculean task. Improves Customer experience.

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Data Technical Review Underperforming Technical Team Analysis 72

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.

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Data Artificial Inteligence Company Analysis 40

Innovation Excellence

MAY 9, 2019

Data, as many have noted, has become the new oil, meaning that we no longer regard the information we store as merely a cost of doing business, but a valuable asset and a potential source of competitive advantage. It has become the fuel that powers advanced technologies such as machine learning.

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Data Artificial Inteligence Competition Technology 77

The BMI Lab Blog

NOVEMBER 23, 2022

The experience of recent years shows that companies often overestimate the value of their own data and their own ability to generate revenue from it. In practice, very few companies can establish a sustainable business model based on data. To start, we need to detail what a data-driven business model actually is.

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Data Technical Review How To Big Data 52

mjvinnovation

JUNE 22, 2021

That’s why data security is so important, as it safeguards the information chain flowing through computers. In an increasingly competitive world, protecting corporate data is critical. Follow along to learn why data security is so important as well as the main trends within the field! What is data security?

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Data Trends Company Technical Review 52