Digital Transformation, Data and Innovation

RTI Innovation Advisors

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? Data and digital transformation There is no digital transformation without data.

Data 142

A New Role For Humans: Prepping Data So AI Can Learn To Do Our Jobs

Game-Changer

Current AI training methods require reams of labeled data. The limitation is the amount of data needed, and the time and labor to label it properly. The main way computers learn to do tasks is by getting fed information by us. We have to be thoughtful about how we label data.

Data 141

DNA may be the Answer to Data Storage Problem

Innovation Excellence

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. Innovation Big Data Data Storage DNA

Data 97

Data Science: Infinity War

mjvinnovation

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. Since you cannot talk about movies without running into spoilers, here’s one about the digital revolution: data is the new digital strand of business! The Data Revolution: Which side do you want to stay in? Yes, it is via data that the market will transform.

Data 57

Data From 3.5 Million Employees Shows How Innovation Really Works

INNOVATION Data From 3.5 ve years of data from 154 public companies covering over 3.5 But what we learned from our analysis of all this data is that innovation is, indeed, a science.

Propel Your Innovation Strategy into Overdrive with Big Data

IdeaScale

Big data has been a foundation of innovation ever since the first suggestion box was put out. Since then, the data set has only kept growing, until now you can filter thousands or even millions of data points. How do you effectively use big data to drive innovation?

Data, Data everywhere

RTI Innovation Advisors

As a colleague of mine is fond of pointing out, data is the new oil. In many ways digital transformation and the value of the data it creates will enable many new digital hillbillies to strike it rich, striking gushers of data. Who is responsible for managing this data?

Data 31

Developing continuous learning

ImagineNation

In the same way, new platforms, products and services, business models and other emerging creative surprises are, disrupting the learning game. To also develop the skills required to surmount future challenges, so what then, is the role of continuous learning?

Applying AI and Machine Learning to Patent Data Analysis

Yet2

Artifical intelligence (AI) and machine learning techniques are changing the world of patent data analysis. These facts make patent data very suitable to be processed with machine learning techniques. Indeed, computer science researchers and service providers in the patent industry have been using AI in patent data analysis for a long time. In short, patent data was ready for AI, but not the other way around. We update this model regularly with new data.

Smart Construction: How AI and Machine Learning Will Change the Construction Industry

Daniel Burrus

These days, seemingly everyone is applying Artificial Intelligence (AI) and machine learning. With the total worker output in construction at a standstill, it is no surprise that the areas where machine learning and AI could improve such statistics were minimal.

How to Improve Customer Experience in an Era of Choice

Here’s an example: Data from Lux Research shows that for every layer. with an aim of producing customer data that translates into actionable outcomes. HOW TO CAPTURE THE VOICE OF THE CUSTOMER IN AN ERA OF CHOICE - SPIGIT 1 HOW TO IMPROVE. CUSTOMER. EXPERIENCE IN AN.

Learning a new innovation language

Paul Hobcraft

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?

Will big data solve the innovation gap?

RTI Innovation Advisors

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. This claim seems to suggest that big data and analytics and machine learning can do a better job in the front end generating new ideas that lead more rapidly to new products and services.

Infinity War: meet the superpowers of Data Science

mjvinnovation

“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! This is where the infinity gaunt… I mean, Data Science comes in.

To Innovate: Learn, Scaffold, Ideate

Gregg Fraley

Innovation is Learning. For many years I kept the concepts of innovation and learning in separate boxes. I thought innovation was creating new things of value, and, learning was understanding new things. I now believe that learning and innovation are joined at the hip.

Mixing Qualitative & Quantitative Data with Storyboarding

Speaker: Tristan Kromer, Lean Agile Coach, Kromatic

Qualitative data from UXers should not compete against the quantitative data product owners need for their business model. In this webinar, you'll learn: How to integrate qualitative insights on user experience with a business model based on numbers.

Big data is dead – a throwback to Data Natives Conference

etventure

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.

Big Data and Machine Learning Solutions to Improve Agriculture

IdeaConnection

A farming app and machine learning models to predict the performance of seed varieties

Innovation is Always an Opportunity for Learning

IdeaScale

Innovation programs generate more than ideas and new products, they generate data and insights that can inform your strategic direction. You can learn a lot about the meaningful trends in your field of practice (and about your crowd) by reviewing the information in your innovation system.

Doctor Strange: scenario prediction and data inference

mjvinnovation

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. Learn the mystical arts of the Ancients ?

Data 52

Project Analytics: Visibility that Aids Risk Management

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Just as you use data from the customer to inform your solutions, transparency during the building of those solutions is critical for making better risk mitigation decisions. Using historic data to more effectively schedule product commitments in the future.

Data Analytics to Support Learning and Teaching

IdeaConnection

Brainstorming activities to further develop a university initiative that is exploring how data and data analytics can best serve students and teachers

Here’s How To Keep Your Data Project From Running Of The Rails

Innovation Excellence

We were told that “data is the new oil.” The Internet of Things combined with the ability to store massive amounts of data and powerful new analytical techniques like machine learning would help derive important new insights, automate processes and transform business models. Technology Big Data data Data Analytics

Data 56

What I'ved learned so far about digital transformation and innovation

RTI Innovation Advisors

But through this I've learned a bit about both innovation and digital transformation. Below I'm going to share a few things I've learned so far, and my sense of the implications. Learnings so far: Innovation and digital transformation both impact efficiency; only innovation is about creating dramatically new stuff (so far). Machine Learning is being applied everywhere, and IoT is just a new way of saying "sensors". Lately I've been drinking from the firehose.

Artificial Intelligence: A Question of Data

Daniel Burrus

and the vast quantity of data that China is capable of generating on a daily basis, has many wondering if the U.S. Data is the fuel that feeds A.I. The more data you have, the more A.I. can learn and adapt. Most feel it’s all about the quantity of data.

Data 61

Connecting Analytics to Strategy - Keeping Your Corporate Objective In Sight

Speaker: Tom Evans, Senior Principal Consultant and Trainer, 280 Group

Data analytics has transformed the way many product managers approach product enhancements, creating strong demand for product managers with skills and expertise in defining and analyzing product metrics to make more valuable product decisions.

Data Science is Essential for 21st Century Innovation: Here’s Why

InnovationManagement

Organizations around the world need specialists who can translate data into actionable reports that inform mission-critical decision-making. The post Data Science is Essential for 21st Century Innovation: Here’s Why appeared first on Innovation Management. Trend Alert applied statistics careers data science degrees education learning professional development statisticsFor statisticians, the career outlook is rosy, even for entry-level job candidates.

Plan of Action: implementing Data Science in your company

mjvinnovation

It is with Data Science that you can defeat the analog mindset! But the question is: how do you implement Data Science in your company? Data Science is still a relatively new solution. After all, what do you prioritize to bring Data Science to your business? Data Science

Data 52

FinTech and Machine Learning

IdeaScale

When people talk about machine learning they are a referring to a type of artificial intelligence that has the ability to learn without explicit programming. But some financial companies are already using machine learning to solve some of these fintech problems today.

F.R.I.D.A.Y.: the heroine of data analysis

mjvinnovation

The Artificial Intelligence, which replaced Jarvis after he became Vision, is responsible for saving the hero by pointing out the best path – a task that makes our heroine today a data analyst. does, a data scientist could do? Basically, she automates data analysis to provide practical solutions for Iron Man. And this is a fundamental process within Data Science. If you are a data scientist, you can start considering sending your resume to Tony Stark.

How To Build Data-Informed Products

Speaker: Tim Herbig, Director, iridion

As a product manager, you probably know specific ways to gather data to inform your product decisions, like the ever-popular A/B test. Tim will discuss the line between being data-informed versus data-driven. Data validation won't be an issue again.

Balancing Data and the Human Element for Successful Innovation

IdeaScale

Data can tell us a lot, but not everything. The idea that cold, hard data tells us everything we need to know about everything is hugely popular at the moment. Algorithms and machine learning will tell us all we need to know, right? No matter how big the dataset, data mining and analysis have limits—or the “head” approach—and the same is true of “softer” method like customer surveys, the “heart” approach. Don’t get us wrong: Data has its use.

Data 107

Valuing digitization alongside innovation

Paul Hobcraft

Much of our innovation work today is caught up in out-of-date information, poor and inadequate data, restricted research and limited market understanding. The more you develop new, data-based business models the more you can explore alternatives in product design, and delivery.

All things considered for Innovation Thinking

Paul Hobcraft

We often get caught up in data far too early, looking for the real nugget that can transform our thinking. Source: Rikke Dam and Teo Yin Siang. When we are designing innovation for the future, the search is even more centered around strategically connected value creation.

Corporate meets Startup – Join the European Data Incubator with your Data Challenge

etventure

etventure runs the European Data Incubator (EDI) together with 20 international Partners from 10 different countries. The goal of the project is to foster the relation between corporate data providers and young companies in Europe. We introduce 3 reasons why you should participate as a corporate data provider in the European Data Incubator! On the 17th of October 2018, the 16 best Data Startups were already selected for cooperation.

Creating the "Right" Product Roadmap With Data

Speaker: Sunil Parekh, Head of Product Management, SimplyInsured

Data can be qualitative or quantitative, and comes from multiple sources: customer interviews, product usage & funnel analytics, company financial performance, and internal stakeholders.