Leapfrogging

MARCH 14, 2025

Get instant strategy processes Get expert tools & guidance Lead projects with confidence Learn More Integration of AI in Leadership Coaching The integration of artificial intelligence in leadership coaching is reshaping how you can develop emotional intelligence (EQ) in leaders. Lead Successful Strategy Projects!

Underperforming Technical Team 130

Underperforming Technical Team Artificial Inteligence Leadership Technical Review 130

Acuvate

MARCH 19, 2020

Be it big data, predictive analytics tools or even AI powered service robots, technology plays a huge role in tracking the pandemic, assessing its spread, and working towards its containment. This raw data is then analyzed with machine learning algorithms to identify patterns and trends.

Big Data 69

Big Data Artificial Inteligence Data Analysis 69

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. Ford’s recent moves provide an interesting example (and here ) of this broadening viewpoint. .

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. Ford’s recent moves provide an interesting example (and here ) of this broadening viewpoint. .

Big Data 58

Big Data Data System Artificial Inteligence 58

Yet2

JANUARY 9, 2023

Using Big Data in our own scouting activities has been an investment we’ve been making over the few years. To help make this intangible concept feel a little more real, below we share just 3 examples of how we at yet2 leverage Big Data in our scouting: Starting with unique, quality datasets: avoid “garbage in, garbage out.”

Big Data 52

Big Data Open Innovation Data Underperforming Technical Team 52

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. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

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. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

Big Data 53

Big Data Data Strategy Strategy 53

mjvinnovation

MARCH 10, 2020

At the same time, insurers have also understood that they need a Big Data strategy for various purposes. Continue reading and understand how Big Data can help insurers avoid headaches and financial damage! What is Big Data. ” Real Time Big Data. ” Real Time Big Data.

Big Data 52

Big Data Data Strategy Strategy 52

Leapfrogging

NOVEMBER 8, 2024

Innovation Jackpot Areas : Area Examples Products Roll out flashy new gadgets Services Go for cool subscription options Processes Let robots do the grunt work Business Models Jump on the digital bandwagon Craving more insider scoop? Keep Learning: Offer courses and sessions so your bunch stays sharp and on par with the times.

Strategy 113

Strategy Strategy Innovation Artificial Inteligence 113

IdeaScale

JANUARY 3, 2019

Many apps, for example, are using the biometric sensors that turn up on phones as an extra layer of security, helping to protect client accounts. Everybody talks about big data, but fintech has an advantage in that it’s been working with data for decades. To learn more, request a demo ! Transparency.

Trends 113

Trends Big Data Crowdsourcing Data 113

Jeffrey Phillips

FEBRUARY 18, 2019

Using GM as an example To illustrate this point let's consider General Motors, or for that matter any car company. 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.

Artificial Inteligence 209

Artificial Inteligence Innovation Big Data Agile 209

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. Ford’s recent moves provide an interesting example (and here ) of this broadening viewpoint. .

Big Data 40

Big Data Data System Artificial Inteligence 40

Paul Hobcraft

MAY 9, 2023

Over the years, so much has improved and understood by the explanations, case examples, suggestions, clarifications and ways they were “built into” the individual innovation processes that each company chose to construct their innovation process. Briefly, I summarize what these have been bringing into innovative thinking.

Artificial Inteligence 182

Artificial Inteligence Technical Review Innovation Agile 182

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. To do so, automakers must: Think strategically and own the big data strategy. Establish and enforce data ownership rights among the appropriate constituencies.

Big Data 40

Big Data Data Strategy Strategy 40

Paul Hobcraft

OCTOBER 2, 2023

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

Design Thinking 147

Design Thinking Technical Review Design Technology 147

Idea to Value

MARCH 11, 2016

In 2013, I wrote a breakthrough article on the nascent examples of computers beginning to generate ideas in a way similar to human creativity. The big upcoming leaps come from research into how machines can emulate the human thought process. Machine Learning. Over the passing years, this ability has grown by leaps and bounds.

Creativity 100

Creativity Big Data Data Technical Review 100

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? For example, my father called me over the weekend to ask why his doctors can't get his electronic medical records correct.

Data 129

Data Artificial Inteligence Innovation Big Data 129

eZassi

FEBRUARY 26, 2025

principles- such as the Industrial Internet of Things (IIoT), artificial intelligence (AI), and big data analytics- companies can predict equipment failures before they occur, reducing downtime, optimizing costs, and enhancing operational efficiency. This data is transmitted via IIoT networks to centralized systems for analysis.

Artificial Inteligence 52

Artificial Inteligence Industry Big Data Data 52

mjvinnovation

MAY 24, 2019

In this context, Big Data provides important data about customer behavior. Big Data refers to data that grows unstructured and exponentially in the world and is driven by three factors: volume, variety and data rate. ” Guide the management and implementation of Big Data.

Big Data 40

Big Data Data Technical Review Video 40

Corporate Innovation

JANUARY 3, 2017

Example transactions include Ford’s investments in Velodyne and Civil Maps, Magna’s investment in Peloton, and BMW’s acquisition in Chargepoint, and Nauto. So automakers need to broaden their view, place the passenger at the center and learn as much as possible about each passenger.

Big Data 40

Big Data Data Industry Software 40

Corporate Innovation

JANUARY 3, 2017

Example transactions include Ford’s investments in Velodyne and Civil Maps, Magna’s investment in Peloton, and BMW’s acquisition in Chargepoint, and Nauto. So automakers need to broaden their view, place the passenger at the center and learn as much as possible about each passenger.

Big Data 40

Big Data Data Industry Software 40

Corporate Innovation

JANUARY 3, 2017

Example transactions include Ford’s investments in Velodyne and Civil Maps, Magna’s investment in Peloton, and BMW’s acquisition in Chargepoint, and Nauto. So automakers need to broaden their view, place the passenger at the center and learn as much as possible about each passenger.

Big Data 40

Big Data Data Industry Software 40

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? One way to understand data science is to visualize what a data scientist does.

Artificial Inteligence 52

Artificial Inteligence Data Examples Project 52

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. 5 Facts on Data Thinking.

Big Data 40

Big Data Conference Data Artificial Inteligence 40

Business and Tech

DECEMBER 27, 2021

New “big data” applications are emerging that allow organizations to specify needed skill sets and understand where the talent that possesses those skills is located (and the availability of that talent). Using key technologies can help. Understanding where the talent you need is located is critical for organizations looking to hire.

Technology 130

Technology Artificial Inteligence Policies Big Data 130

IdeaScale

NOVEMBER 8, 2018

The iPhone is a superb example; ten years after it was announced, the basic product is still the same, just heavily refined. It may be difficult to get people outside your industry excited about incremental innovation, but it’s still important for two very big reasons. The post How Should Your Business Find the Next Big Thing?

Disruption 124

Disruption Video Big Data Industry 124

Acuvate

JANUARY 13, 2020

The data you have just compiled isn’t meaningful yet or even ready for processing. In this step, you need to reformat the data in a way that it becomes suitable for machine learning processing. For this, you would be required to perform decompressing, filtering or normalization on your data.

Data 90

Data Artificial Inteligence Analysis Big Data 90

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. Most exciting, change is being driven from the very top. Can Sweatcoin, A New Fitness App, Keep You Off the Couch?

Artificial Inteligence 113

Artificial Inteligence Innovation Disruption Big Data 113

Acuvate

JUNE 28, 2019

AI-equipped tools are optimizing internal business operations and allowing employees to hone their creative skills and make data-driven decisions. . Learn More: Enterprise AI: The Adoption Strategy & Practical Solutions. #3 A great example of IoT use is in the airport industry. 4 Big Data.

Technology 89

Technology Artificial Inteligence Big Data Data 89

Jeffrey Phillips

APRIL 1, 2020

I'm not going to say a lot about the data component, other than to note its importance and the explosion of the volume and velocity of data. We will all learn the many Vs (Volume, Velocity, Variety, Veracity and Variability) of big data soon.

Data 120

Data Big Data Industry Change 120

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. This includes strategic planning, creative development, and market insights.

Artificial Inteligence 118

Artificial Inteligence Company Trends Competition 118

Acuvate

OCTOBER 21, 2019

In order to do so, ‘adaptive’ learning technology must be used in which data analytics determines the learning pace of the employee, the mode of training, as well as what questions are best suited for them, in order to personalize the course to suit the learner. Examples of companies using HR analytics.

Examples 45

Examples Analysis Data Training 45

Paul Hobcraft

NOVEMBER 12, 2018

I wanted to learn a little more from some of the bigger sponsors on where the future was heading (AI, Big Data etc). To be honest I am learning more ‘rooted’ to my desk than I did for much of the time at this event. Yet it is a little scary. I am not a techie, geek or seeking to compete in the technology Olympics.

Technical Review 222

Technical Review Conference Technology Data 222

Acuvate

DECEMBER 7, 2022

So when something goes wrong, for example, a leak, breakage, overflow, or contamination occurs, severe consequences (expensive asset damage or critical health issues) ensue before it is actually corrected or rectified. How are sustainable technological solutions enabling Smart Water Management (SWM)?

Data 78

Data Artificial Inteligence Management Technical Review 78

Tullio Siragusa

JULY 25, 2022

The Tech Backstage Podcast is a live streamed video podcast that goes behind the scenes with today’s leaders of industry to learn what technologies are solving business problems, and how Design Thinking applied to the future of technology is impacting the world. Anyone can learn to be creative if they put in the effort.

Creativity 118

Creativity Data Technical Review Innovation 118

Paul Hobcraft

JANUARY 14, 2016

There are management tools that have become ‘enshrined’ in organizations and many of the executives become settled on the ones they have bothered to learn or seemingly do the job. Our research shows, for example, that major efforts achieve significantly better satisfaction scores than limited ones. Big Data for instance scores a 4.22

Tools 100

Tools Innovation Management Management Underperforming Technical Team 100

Tim Kastelle

MARCH 13, 2016

One recent example for strategic complementarity is the announced partnership between GM and Lyft. We would expect to see the most intensive innovation focus in big data, given all the attention that has been devoted to the ability of digital data and advanced analytics to generate new products, markets, and revenue streams.

Innovation Management 100

Innovation Management Underperforming Technical Team Management Innovation 100