Harvard Business Review

JANUARY 23, 2024

Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing?

Artificial Inteligence 91

Artificial Inteligence Project Learning Data 91

Paul Hobcraft

AUGUST 8, 2023

Within the Composable Innovation Enterprise Framework lies the core, the different innovation stacks, and the learning components. Here, I want to briefly talk about the importance of the learning components that support the innovation design and especially the different innovation stacks.

Learning 130

Learning Innovation System Design 130

InnovationManagement

FEBRUARY 16, 2022

Many people have said that 2021 was 2020 Part II, but IdeaScale looked at some of our system data (as we do every year) to see what we could learn, and there are a few key trends we think are different from 2020, and that we think bode well for a creative 2022. appeared first on InnovationManagement.

Trends 97

Trends Data Innovation Management Learning 97

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

Harvard Business Review

JUNE 7, 2023

An entirely new “management paradigm” for data is needed. As used here, a “management paradigm” embodies a common language, a holistic vision of the ways data should contribute, a clearly defined organizational structure showing how data integrates across the organization, along with clear roles and responsibilities for all involved.

Data 113

Data Strategy Strategy Policies 113

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

Acuvate

MAY 27, 2024

Today, data and AI are powering a new wave of industrial innovation called Industry 4.0. Using advanced sensors and data analytics platforms, companies in the energy and manufacturing sectors have unlocked additional operational efficiency. This has escalated the complexity of data collection and management to unprecedented levels.

Industry 40

Industry Data Technical Review Artificial Inteligence 40

Acuvate

MAY 19, 2024

It requires actionable insights and strategic interventions backed by robust data integration measures. Optimizing Energy Efficiency: Improving energy efficiency is a significant way that data integration promotes sustainability. However, achieving sustainability objectives goes beyond mere words.

Data 52

Data Artificial Inteligence Technical Review System 52

Harvard Business Review

JANUARY 26, 2024

There are three immediate challenges for companies that want to train fine-tuned AI models: 1) they require extensive, high-quality data — a scarce resource for many enterprises, 2) third-party AI models can include problematic biases, and 3) training fine-tuned models with users’ personal data may result in privacy violations.

Data 102

Data Collaboration Company Training 102

Harvard Business Review

JANUARY 15, 2024

Although cultural change generally requires human intervention, it appears that new technology — especially a new technology like generative AI that captures human imaginations — can play a role in catalyzing a data-oriented culture.

Survey 90

Survey Data Generative AI ChatGPT 90

Harvard Business Review

SEPTEMBER 8, 2023

As reliance on data and analytics continues to expand across industries from agriculture to manufacturing, health care to financial services, it stands to reason that the next generation of data leaders will have far-reaching roles that impact strategy, decision-making, operations, and countless other functions.

Data 120

Data Industry Strategy Strategy 120

Harvard Business Review

SEPTEMBER 13, 2023

Despite the rapidly increasing prominence of data and analytics functions, the majority of chief data officers (CDOs) fail to value and price the business outcomes created by their data and analytics capabilities. It comes as no surprise then that many CDOs fall behind expectations and have short tenures.

Data 93

Data Strategy Strategy Artificial Inteligence 93

IdeaScale

MAY 18, 2017

The keys to innovation from failure are to have a culture around dealing with and accepting failures, failing fast, and learning from the failure. So how do we go about learning from failure? The culture to deal with and accept failures creates a feedback loop of learning. It’s only failing if you learned nothing.

Learning 214

Learning Innovation Culture Data 214

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

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

FEBRUARY 12, 2018

Lately, with the advent of "big data", machine learning and other factors associated with data and more intelligent processes, the argument has been made that these capabilities will solve the innovation gap. To date, there's been some improvement but the innovation gap still remains. Humans are omnivorous connectors.

Big Data 170

Big Data Data Artificial Inteligence Innovation 170

Brunner

JULY 12, 2023

Only a few short years ago, the general public learned companies were collecting and selling data with every click consumers made. In 2018, Facebook CEO Mark Zuckerberg was called to address Congress about a data-sharing scandal with Cambridge Analytica, a company that bought data from Facebook to target political advertising.

Data 94

Data Marketing Policies Strategy 94

Harvard Business Review

JUNE 20, 2023

With the explosion of generative AI and other powerful new data tools, chief data and artificial intelligence officers (CDAIOs) are more important than ever as companies navigate this new landscape.

Data 111

Data Artificial Inteligence Generative AI Technical Review 111

IdeaScale

JULY 2, 2019

Learn to Separate Projects from Egos (Including Your Own). Focus on the Story the Data Tells. If it’s up to you to break the news, it helps to focus on the data. Data doesn’t lie about whether the algorithm works, whether the materials hold up, or whether consumers want the innovative new product.

Idea Management 206

Idea Management Learning Management How To 206

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

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

Jeffrey Phillips

MARCH 20, 2020

From the formation of basic tools to assist in farming to real cultivation and shaping of the land for greater yields, humankind learned to grow food. From early sweatshops to almost fully automated factories, we've learned how to scale manufacturing and get far more productivity from fewer workers and more machinery and automation.

Data 129

Data Artificial Inteligence Tools Resources 129

Board of Innovation

DECEMBER 16, 2021

Validation is the process of gathering evidence and learning around business ideas through experimentation and user testing, in order to make faster, informed, de-risked decisions. The post Business and concept validation through qualitative and quantitative data appeared first on Board of Innovation. Here's how you can use them.

Data 145

Data Learning Innovation Design 145

Jeffrey Phillips

MAY 20, 2022

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. This post will consider the importance of data in strategy development and execution, as well as in innovation.

Data 144

Data Report Strategy Strategy 144

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

IdeaScale

NOVEMBER 19, 2019

Learn innovation and crowdsourcing strategy from NASA. NASA’s Center of Excellence for Collaborative Innovation — a crowdsourcing platform — unveiled their best practices for approaches to problem-solving on a recent webinar in a move to share what they’ve learned to help others. government departments. Shoot for the moon.?.

Crowdsourcing 219

Crowdsourcing Learning Data Technical Review 219

Jeffrey Phillips

JULY 15, 2019

These commentators are correct in the sense that we are entering a time where the Internet of Things (IoT) and the data generated by billions of IoT devices will create radically new opportunities for innovation. That is, they weren't connected to the internet or communication channels and did not create or publish data.

Learning 166

Learning Data Innovation Internet of things 166

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

Acuvate

DECEMBER 5, 2023

The business world is on the cusp of a transformation, where small-scale data interventions are becoming obsolete. Utilizing data at scale is now the cornerstone of a sustainable future in the digital-first economy. None of this will be possible without a new data mindset geared towards decision automation.

Data 52

Data Artificial Inteligence Generative AI System 52

Acuvate

NOVEMBER 15, 2023

According to NewVantage’s 2023 Data and AI Executive Survey , which polled senior data executives across 100+ Fortune 1000 companies, 87.8% of represented organizations increased their investments in data and analytics in 2022, and 93.9% of companies characterize themselves as data-driven. planned to do so in 2023.

Data 59

Data Artificial Inteligence Technical Review Software Review 59