Tullio Siragusa

AUGUST 1, 2022

The Hyper-personalization Data and Privacy Debate?-?Solved. Data is what we share with the websites we visit. In this podcast recap blog post, we will discuss how websites store data, what goes on with the data that we share, and how we can have an option to control our data to have personalized experiences.

Data 118

Data Technical Review Marketing Design Thinking 118

Leapfrogging

FEBRUARY 28, 2022

Because of unprecedented uncertainty, there’s a strong desire to use data to deliver better decision-making. Yet many teams and organizations get paralyzed by overwhelming data. While data exists, many teams lack insight. They think that if they wait for more data, they’ll get the answer. Makes sense. So, they get stuck.

Data 130

Data Industry Examples Report 130

Wazoku

FEBRUARY 23, 2023

In this blog, we look at a Challenge that aims to find more effective ways for local governments to use public data to inform decision-making. To register for this Challenge, click here !

Data 98

Data Innovation 98

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

OCTOBER 21, 2019

Data Driven No phrase worries me more than what I hear repeated regularly as a mantra by our customers and prospects. Everyone wants to be "data driven", which on the surface is an excellent idea. If by "data driven" they mean making decisions based on data rather than conjecture or opinion, that's good.

Data 125

Data Artificial Inteligence System Strategic Thinking 125

Planview

DECEMBER 12, 2023

Historically, companies had two approaches to deriving value from data. Some companies used a grassroots approach, where individual people and teams mined their own data stores for insights as needed. Neither can handle the amount of data coming in from customers and internal operations. The problems with those approaches?

Data 72

Data Trends CTO Company 72

InnovationTraining.org

SEPTEMBER 23, 2022

Learn the basics of data storytelling and find training resources, articles, videos, and more. Data is all around us – from our schools, to our workplaces, and internet habits. Data storytelling recognizes that data on its own is often not enough to move people to action. What is data storytelling?

Training 70

Training Data Underperforming Technical Team Video 70

Jeffrey Phillips

MAY 20, 2022

As you know if you follow my blog, I generally write about the intersection of strategy and innovation. Increasingly, however, we need to invite data into this mix. As more and more data is generated, it creates new opportunities in the strategy realm and in the innovation realm.

Data 144

Data Report Strategy Strategy 144

Yet2

FEBRUARY 7, 2024

yet2 employed their proprietary Big Data approach to quickly ingest and analyze thousands of data points across their database of 5,000+ CMOs, reducing the analysis time from months to days. Another category of data segmenting was Class I and Class II products by regulatory certification, which was already captured in the CMO database.

Big Data 59

Big Data Data Technical Review Marketing 59

ITONICS

MARCH 14, 2024

This blog will take you through pitfalls and best practices for R&D data governance, illustrating the importance of interdepartmental collaboration and synergy. In the world of innovation, Kodak serves as a stark reminder of what can happen when a company’s departments operate in silos, and R&D intelligence is disconnected.

Data 36

Data Collaboration Innovation Engagement 36

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

Brunner

JULY 26, 2023

But simply churning out random blog articles or social media posts without a clear direction in mind can lead to chaos, wasted time, and lackluster results. Know your audience Conduct thorough and data-rich research to understand your target audience’s demographics, preferences, and behaviors. An uptick in conversions?

Roadmap 98

Roadmap Engagement Data Marketing 98

Jeffrey Phillips

FEBRUARY 13, 2020

In his or her place is emerging a new kind of miner - a data miner, a process miner, a bitcoin miner. People who are expert at exploiting a new, but somewhat unnatural resource: all the data that we create. We are in the very beginning of one now - a gold rush to find, mine and refine data and turn the insights into value.

Data 157

Data Learning Artificial Inteligence Technical Review 157

IdeaScale

MAY 2, 2022

In 2021, Sagicor hosted its inaugural Data Innovation Challenge using the IdeaScale platform. Sagicor is a full-service financial institution offering a wide range of products and services—everything from life and health insurances, to annuities, pensions, real estate, banking, and investment needs. Through this [.]

Data 130

Data Trends Technology Innovation 130

IdeaScale

MAY 2, 2022

The financial sector is constantly being shaped by technology and consumer trends, and in 2021, Sagicor hosted its inaugural Data Innovation Challenge using the IdeaScale platform. Through [.].

Data 130

Data Trends Technology Innovation 130

IdeaScale

FEBRUARY 5, 2024

As the world eagerly awaits the upcoming Paris Olympics, the stage is set for athletes to showcase their preparation, prowess, and determination to clinch the coveted gold medals.

Data 130

Data Competition Innovation 130

mjvinnovation

MAY 18, 2021

Data Science is not a seven-headed bug. In reality, one of the main functions of a data scientist is to study and structure your business data so that you can extract more accurate insights from your company. There are many benefits of Data Science to a business. Data-driven Marketing is a universal term nowadays.

Data 52

Data Artificial Inteligence Study Agile 52

Strategyzer Innovation

SEPTEMBER 8, 2020

In our previous blog post, we discussed the need for exploration projects to track four main key performance indicators (KPIs): risk and uncertainty, expected profitability, time spent, and cost.

Data 69

Data Learning Project Training 69

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.

Data 72

Data Technical Review Underperforming Technical Team Analysis 72

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.

Data 52

Data Technical Review How To Big Data 52

Tullio Siragusa

APRIL 15, 2024

Generative AI refers to algorithms that can learn from data and generate original content, be it text, code, or strategic plans. Here are specific examples of how these technologies can be applied: Strategic Planning and Decision Making AI algorithms can analyze vast amounts of data to identify trends, opportunities, and threats.

Generative AI 90

Generative AI Artificial Inteligence Analysis Trends 90

Christensen Institute

AUGUST 25, 2022

New data suggests that this year, the social landscape for some high school students looks different than years prior. The Pew data is not all doom and gloom. One particular strategy can help schools and students reflect on these questions in a data-driven, asset-based, and equitable way: relationship mapping.

Data 98

Data Analysis Report Tools 98

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? Yes, it is via data that the market will transform.

Data 66

Data Artificial Inteligence Internet of things Analysis 66

Yet2

JANUARY 15, 2019

Our team wrote a number of widely read blog posts in 2018, spanning the topics of artificial intelligence (AI) and machine learning, adjacency in tech scouting, startups and their comparative value proposition, anonymous searches in tech scouting and more. Here’s a recap of those blog posts. Tech Scouting Blog Posts.

Artificial Inteligence 49

Artificial Inteligence Technical Review Software Review Trends 49

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.

Data 52

Data Artificial Inteligence Company Analysis 52

Tullio Siragusa

APRIL 8, 2024

This blog explores the implications of empathetic AI for businesses, healthcare, and society, highlighting the potential benefits and challenges of this groundbreaking technology. Promote Transparency: Clearly communicate how emotional data is collected, analyzed, and used, fostering trust between users and AI applications.

Artificial Inteligence 48

Artificial Inteligence Technology Guidelines Design 48

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

Information Playground

AUGUST 30, 2016

One of the more interesting characters at EMC is the Dean of Big Data, Bill Schmarzo. Bill has his finger on the pulse of data valuation due to continual contact with customers, many of whom are trying to extract value out of their data. Valuation and the Sale of Data Assets. Data Monetization.

Data 51

Data Big Data Industry Company 51

Brunner

FEBRUARY 14, 2020

Data Analytics Maturity Series, presented by Brunner’s Data Science & Decision Analytics Team. This series covers the elusive topic of data. Getting closer to your customers requires making the most of the data available to you and understanding where the organization is at in terms of data maturity.

Data 52

Data Culture How To Strategy 52

Tullio Siragusa

MARCH 10, 2024

This blog explores the pivotal intersection of ethical leadership and technology, shedding light on how leaders can guide their organizations through the complexities of the digital landscape with a moral compass. Blog Subscrition Here Email* Please leave this field empty.

Leadership 62

Leadership Technology Artificial Inteligence Culture 62

The Human Factor

JUNE 3, 2019

Blog about it. Blog about it. Definitely blog about it. You see, at this day and age, blogging is one of the most effective ways to get information across to reach a wider audience. The challenge, however, is writing a blog that works. It is important to know the right steps on how to write a blog post.

Tools 28

Tools Data Learning Analysis 28

Tullio Siragusa

APRIL 17, 2023

In this blog post, we will explore five key challenges related to digital transformation and provide actionable insights to help businesses overcome them with ease. This ensures seamless connectivity and data exchange. Provide regular training on security awareness and the importance of safeguarding sensitive data.

Strategy 62

Strategy Strategy Roadmap Artificial Inteligence 62

Brunner

NOVEMBER 30, 2020

If we took a 1000-piece puzzle and walked around any B2B company, scattering the puzzle pieces as we wondered, this would be a good illustration of their data maturity. For the last decade data has exponentially grown, unchecked, into places so remote that most B2B executives have given up looking for it. My advice – get started.

Data 40

Data Report Meeting Project 40

IdeaScale

APRIL 18, 2024

A decision tree is defined as a hierarchical tree-like structure used in data analysis and decision-making to model decisions and their potential consequences. What is a Decision Tree? It is a graphical representation of a decision-making process that maps out possible outcomes based on various choices or scenarios.

Analysis 100

Analysis Examples Data 100

mjvinnovation

APRIL 22, 2019

In this sense, we can clearly relate Strange Doctor with Data Inference. The concept of Data Science is closely linked to the research of hero scenarios. The Road to Being a Supreme Wizard – or Mastering Data Inference. That’s where Data Science comes in. How can data inference help corporations?

Data 40

Data Artificial Inteligence Analysis Company 40

Tullio Siragusa

FEBRUARY 6, 2023

However, by using the power of Design Thinking to score leads, sales teams can take a data-driven approach to prioritize their efforts and increase their chances of winning deals. Continuously gather feedback and data on your lead scoring system and adjust based on the results. Click Here Blog Subscrition Here Email*

Design Thinking 118

Design Thinking Design Brainstorming System 118

Brunner

SEPTEMBER 10, 2020

From studying engineering to consulting with Fortune 500 companies, Eric Perz revealed some interesting things about his career path and his personal life, as Brunner recently promoted him to VP, Data Science. Q: How did you enter the ‘data science world’? Q: What will be your role as VP, Data Science?

Data 40

Data Software Review Technical Review Project 40