Search results for monetization

Found 47 documents, 5922 searched:

• Data Monetization 101

  The evolving marketplace of data now includes many firms that support a variety of needs from organizations looking to grow with data. This listing of the key players categorized by target market provides an interesting picture of this exciting industry sector.

  https://www.kdnuggets.com/2021/07/data-monetization-101.html

• The Key to Data Monetization

  While I have talked frequently about the concept of Analytic Profiles, I’ve never written a blog that details how Analytic Profiles work. So let’s create a “Day in the Life” of an Analytic Profile to explain how an Analytic Profile works to capture and “monetize” your analytic assets.

  https://www.kdnuggets.com/2017/07/key-data-monetization.html

• Is Blockchain the Ultimate Enabler of Data Monetization?

  Is blockchain the ultimate enabler of data and analytics monetization; creating marketplaces where companies, individuals and even smart entities (cars, trucks, building, airports, malls) can share/sell/trade/barter their data and analytic insights directly with others?

  https://www.kdnuggets.com/2017/04/blockchain-ultimate-enabler-data-monetization.html

• Big Data Monetization Lessons from Zillow

  In the current tsunami of “Big Data” every business wants to get value out of the data. Here, we are sharing lessons learned by the new real estate websites who have brought together Big Data sets, home buyers, and home sellers.

  https://www.kdnuggets.com/2015/09/big-data-monetization-lessons-from-zillow.html+

• ChatGPT, GPT-4, and More Generative AI News

  A short review of developments in the AI world.

  https://www.kdnuggets.com/2023/02/chatgpt-gpt4-generative-ai-news.html

• 5 Key Components of a Data Sharing Platform

  Read this article for an overview of what the components of a data-sharing platform are.

  https://www.kdnuggets.com/2022/05/5-key-components-data-sharing-platform.html

• Unstructured Data: The Must-Have For Analytics In 2022

  Let's investigate the current need that enterprise organizations have to rapidly parse through unstructured data and examine several data management trends that are highly relevant in 2022.

  https://www.kdnuggets.com/2022/01/unstructured-data-analytics-2022.html

• 10 Key AI & Data Analytics Trends for 2022 and Beyond

  What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

  https://www.kdnuggets.com/2021/12/10-key-ai-trends-for-2022.html

• Amazon Web Services Webinar: Leverage data sets to create a customer-centric strategy and improve business outcomes

  Register now for this webinar, Oct 28, to learn how using third-party data enhances applications to better prioritize your target customer - helping you build a more customer-centric business.

  https://www.kdnuggets.com/2021/10/roidna-aws-webinar-customer-centric-strategy.html

• Text Preprocessing Methods for Deep Learning

  While the preprocessing pipeline we are focusing on in this post is mainly centered around Deep Learning, most of it will also be applicable to conventional machine learning models too.

  https://www.kdnuggets.com/2021/09/text-preprocessing-methods-deep-learning.html

• 11 Best Data Science Education Platforms

  We cover 11 best Data Science Education platforms for 11 different use cases, ranging from specific languages to hands-on learners, to the best free option.

  https://www.kdnuggets.com/2021/08/11-best-data-science-education-platforms.html

• Awesome list of datasets in 100+ categories

  With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.

  https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

• 6 side hustles for an aspiring data scientist

  As an aspiring data scientist or an employed professional, many opportunities exist for you to offer your skills to a broader audience through side gigs. While the difficulty and risk vary, experiences from applying your data science practice to areas outside your immediate career path can increase your expertise while even increasing your bank account.

  https://www.kdnuggets.com/2021/05/6-side-hustles-data-scientist.html

• Reducing the High Cost of Training NLP Models With SRU++

  The increasing computation time and costs of training natural language models (NLP) highlight the importance of inventing computationally efficient models that retain top modeling power with reduced or accelerated computation. A single experiment training a top-performing language model on the 'Billion Word' benchmark would take 384 GPU days and as much as $36,000 using AWS on-demand instances.

  https://www.kdnuggets.com/2021/03/reducing-high-cost-training-nlp-models-sru.html

• Past 2021 Meetings / Online Events on AI, Analytics, Big Data, Data Science, and Machine Learning

  Past | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec Read more »

  https://www.kdnuggets.com/meetings/past-meetings-2021.html

• Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology">Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2020 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2020/12/developments-trends-ai-data-science-machine-learning-technology.html

• How “Anonymous” is Anonymized Data?

  As the collection of personal data democratized over the previous century, the question of data anonymization started to rise. The regulations coming into effect around the world sealed the importance of the matter.

  https://www.kdnuggets.com/2020/08/anonymous-anonymized-data.html

• 10 Use Cases for Privacy-Preserving Synthetic Data

  This article presents 10 use-cases for synthetic data, showing how enterprises today can use this artificially generated information to train machine learning models or share data externally without violating individuals' privacy.

  https://www.kdnuggets.com/2020/08/10-use-cases-privacy-preserving-synthetic-data.html

• Top 10 Data Visualization Tools for Every Data Scientist">Top 10 Data Visualization Tools for Every Data Scientist

  At present, the data scientist is one of the most sought after professions. That’s one of the main reasons why we decided to cover the latest data visualization tools that every data scientist can use to make their work more effective.

  https://www.kdnuggets.com/2020/05/top-10-data-visualization-tools-every-data-scientist.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020

  We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

  https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-technology.html

• The title CDO started out as a joke

  How did the role of Chief Data Officer come to drive data literacy at companies around the world? Find out how it all began in this interview with the first who held the title at Yahoo!

  https://www.kdnuggets.com/2019/07/title-cdo-started-as-joke.html

• Sisense BloX – Go Beyond Dashboards

  Introducing Sisense BloX, the tool that allows you to integrate your business platforms inside your dashboards using prebuilt templates. Users stay within the dashboard environment and go from understanding insights to taking action—in one click.

  https://www.kdnuggets.com/2019/04/sisense-blox-beyond-dashboards.html

• Top 8 Data Science Use Cases in Gaming

  The understanding of the data value for optimization and improvement of gaming makes specialists search for new ways to apply data science and its benefits in the gaming business. Therefore, various specific data science use cases appear. Here is our list of the most efficient and widely applied data science use cases in gaming.

  https://www.kdnuggets.com/2019/04/top-8-data-science-use-cases-gaming.html

• AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019">AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019

  Review of 2018 and Predictions for 2019 from our panel of experts, including Meta Brown, Tom Davenport, Carla Gentry, Bob E Hayes, Cassie Kozyrkov, Doug Laney, Bill Schmarzo, Kate Strachnyi, Ronald van Loon, Favio Vazquez, and Jen Underwood.

  https://www.kdnuggets.com/2018/12/predictions-data-science-analytics-2019.html

• The Big Data Game Board™">The Big Data Game Board™

  Move aside “Monopoly,” “Risk,” and “Snail Race!” Time to teach the youth of the world of an important, career-advancing game: how to leverage data and analytics to change your life! Introducing the “Big Data Game Board™”!

  https://www.kdnuggets.com/2018/11/big-data-game-board.html

• A Winning Game Plan For Building Your Data Science Team">A Winning Game Plan For Building Your Data Science Team

  We need to understand the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.

  https://www.kdnuggets.com/2018/09/winning-game-plan-building-data-science-team.html

• Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries

  Both athletes and machines deal with inter-twined complex systems (where the interactions of one complex system can have a ripple effect on others) that can have significant impact on their operational effectiveness.

  https://www.kdnuggets.com/2018/08/leveraging-agent-based-models-digital-twins-prevent-injuries.html

• What’s the Difference Between Data Integration and Data Engineering?

  Why is this distinction important? Because it’s critical to understanding how leading-organizations are investing in new data engineering skills that exploit advanced analytics to create new sources of business and operational value.

  https://www.kdnuggets.com/2018/06/difference-between-data-integration-data-engineering.html

• Great Data Scientists Don’t Just Think Outside the Box, They Redefine the Box

  The best data scientists have strong imaginative skills for not just “thinking outside the box” – but actually redefining the box – in trying to find variables and metrics that might be better predictors of performance.

  https://www.kdnuggets.com/2018/03/great-data-scientists-think-outside-redefine-box.html

• Blockchains and APIs

  Major technological advances are providing opportunities for new business models, based on blockchain, which will see an increase in the number of connected devices in our day-to-day lives.

  https://www.kdnuggets.com/2018/03/blockchains-apis.html

• Exclusive Interview: Doug Laney on Big Data and Infonomics

  We discuss 3Vs of Big Data; Infonomics and many aspects of monetizing information including promising analytics methods, successful companies, main challenges; Information marketplaces and why data ownership concept is misguided, and more.

  https://www.kdnuggets.com/2018/01/exclusive-interview-doug-laney-big-data-infonomics.html

• Democratizing Artificial Intelligence, Deep Learning, Machine Learning with Dell EMC Ready Solutions

  Democratization is defined as the action/development of making something accessible to everyone, to the “common masses.” AI | ML | DL technology stacks are complicated systems to tune and maintain, expertise is limited, and one minimal change of the stack can lead to failure.

  https://www.kdnuggets.com/2018/01/democratizing-ai-deep-learning-machine-learning-dell-emc.html

• Big Data: Main Developments in 2017 and Key Trends in 2018">Big Data: Main Developments in 2017 and Key Trends in 2018

  As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Big Data experts as to the most important developments of 2017 and their 2018 key trend predictions.

  https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

• Blockchain Key Terms, Explained

  Need a quick glance over some important definitions associated with the Blockchain? Then consider this article your Blockchain Definitions 101!

  https://www.kdnuggets.com/2017/11/blockchain-key-terms-explained.html

• Introduction to Blockchains & What It Means to Big Data">Introduction to Blockchains & What It Means to Big Data

  Perhaps most significant development in IT over the past few years, blockchain has the potential to change the way that the world approaches big data, with enhanced security and data quality.

  https://www.kdnuggets.com/2017/09/introduction-blockchain-big-data.html

• Google Analytics Audit Checklist and Tools

  In this post, a Google Analytics & Google AdWords expert shares his tips and tools of intelligent Google Analytics auditing. Read on for some practical insight.

  https://www.kdnuggets.com/2017/08/google-analytics-audit-checklist-tools.html

• Why Every Company Needs a Digital Brain

  As emerging technologies like AI/machine learning are adopted across different parts of the business, enterprises require a “digital brain” to coordinate those efforts and generate systemic intelligence.

  https://www.kdnuggets.com/2017/07/why-every-company-needs-digital-brain.html

• Difference Between Big Data and Internet of Things

  If you cannot manage real-time streaming data and make real-time analytics and real-time decisions at the edge, then you are not doing IOT or IOT analytics, in my humble opinion. So what is required to support these IOT data management and analytic requirements?

  https://www.kdnuggets.com/2017/04/difference-big-data-internet-of-things.html

• Artificial Intelligence Classification Matrix

  There might be several different ways to think around machine intelligence startups; too narrow of a framework might be counterproductive given the flexibility of the sector and the facility of transitioning from one group to another. Check out this categorization matrix.

  https://www.kdnuggets.com/2016/11/artificial-intelligence-classification-matrix.html

• TalkingData Data Science Competition: understand mobile users

  Unique opportunity to solve complex real world big data challenges for the China mobile market - predict users demographic characteristics based on their app usage, geolocation, and mobile device properties.

  https://www.kdnuggets.com/2016/07/talkingdata-data-science-competition-mobile-users.html

• What is Your Data Worth? On LinkedIn, Microsoft, and the Value of User Data

  The recent announcement of Microsoft’s acquisition of LinkedIn has raised many questions about how Microsoft will monetize this data. We examine LinkedIn value per user and compare to Google, Facebook, Yahoo, and Twitter.

  https://www.kdnuggets.com/2016/06/walker-linkedin-microsoft-value-user-data.html

• Big Data Business Model Maturity Index and the Internet of Things (IoT)

  This post explores how organizations could use the Big Data Business Model Maturity Index (BDBMMI) to exploit the Internet of Things (IoT).

  https://www.kdnuggets.com/2016/06/big-data-business-model-maturity-index-iot.html

• Tips for Data Scientists: Think Like a Business Executive

  Thinking like a Data Scientist is important; it puts businesses and business leaders in an analytical frame of mind. But it is also important for Data Scientists to be able to think like business executives. Read on to find out why.

  https://www.kdnuggets.com/2016/05/tips-data-scientist-think-like-executive.html

• Meet the 11 Big Data & Data Science Leaders on LinkedIn

  In this post, we present a list of popular data science leaders on LinkedIn. Follow these leaders who will keep you in touch with the latest Data Science happenings!

  https://www.kdnuggets.com/2016/05/10-big-data-data-science-leaders-linkedin.html

• Learning from Hurricanes: Big Data Analytics, Risk, & Data Visualization

  This year, Florida has experienced its 10th consecutive year without a hurricane, which is longest period without a hurricane strike in modern times. Exploring this is worthy of some examination, as it offers us many lessons in Big Data Analytics, Risk, and Data Visualization.

  https://www.kdnuggets.com/2015/12/walker-hurricanes-big-data-analytics-risk-visualization.html

• KDnuggets™ News 14:n13, May 28

  Features (5) | Software (3) | Opinions (5) | News (1) | Webcasts (1) | Courses (1) | Meetings and Reports (3) | Jobs (5) Read more »

  https://www.kdnuggets.com/2014/n13.html

• Companies with Analytics, Data Mining, Data Science, and Machine Learning Products

  A B C D E F G H I J K L M N O P Q R S T U V W XYZ Advanced Read more »

  https://www.kdnuggets.com/companies/products.html