Search results for Business Innovation

Found 403 documents, 5951 searched:

• Why a Professional Association for Data Scientists is a Bad Idea

  This post presents the argument against having a professional association for data scientists.

  https://www.kdnuggets.com/2018/07/professional-association-data-scientists-bad-idea.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

• Why the Data Lake Matters

  This post outlines why the data lake matters, outlining the complexity of a data lake and taking a look at its evolution over time.

  https://www.kdnuggets.com/2018/06/why-data-lake-matters.html

• AI is not set and forget

  Just like a car, AI-based system can tick along in decent shape for a while. But neglect it too long and you’re in trouble. Unfortunately, failing to maintain your AI will destroy the project.

  https://www.kdnuggets.com/2018/05/ai-not-set-forget.html

• The Dirty Little Secret Every Data Scientist Knows (but won’t admit)

  Most people don’t realize, but the actual “fancy” machine learning algorithm is like the last mile of the marathon. There is so much that must be done before you get there!

  https://www.kdnuggets.com/2018/04/dirty-little-secret-data-scientist.html

• Top 10 Technology Trends of 2018">Top 10 Technology Trends of 2018

  In this article, we will focus on the modern trends that took off well on the market by the end of 2017 and discuss the major breakthroughs expected in 2018.

  https://www.kdnuggets.com/2018/04/top-10-technology-trends-2018.html

• How To Choose The Right Chart Type For Your Data

  The power of charts to assist in accurate interpretation is massive and that's why it is vital to select the correct type when you are trying to visualize data.

  https://www.kdnuggets.com/2018/04/right-chart-your-data.html

• A Day in the Life of a Data Scientist: Part 4

  Interested in what a data scientist does on a typical day of work? Each data science role may be different, but these contributors have insight to help those interested in figuring out what a day in the life of a data scientist actually looks like.

  https://www.kdnuggets.com/2018/04/day-life-data-scientist-part-4.html

• Principles of Guided Analytics

  KNIME outline their guided analytics system and explain how this can assist data scientists to predict future outcomes.

  https://www.kdnuggets.com/2018/03/principles-guided-analytics.html

• 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning">18 Inspiring Women In AI, Big Data, Data Science, Machine Learning

  For the 2018 international women's day, we profile 18 inspiring women who lead the field in AI, Analytics, Big Data , Data science, and Machine Learning areas.

  https://www.kdnuggets.com/2018/03/inspiring-women-ai-big-data-science.html

• Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: February and Beyond

  Coming soon: TDWI Las Vegas, BI + Analytics Huntington Beach, Strata San Jose, IBM Think Las Vegas, Big Data & Analytics Singapore, KNIME Berlin, Nvidia GPU, and more.

  https://www.kdnuggets.com/2018/02/upcoming-meetings.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

• Four Big Data Trends for 2018

  Curious about the future of Big Data and AI? Here’s what the trends have it in 2018 for innovations.

  https://www.kdnuggets.com/2018/01/four-big-data-trends-2018.html

• 70 Amazing Free Data Sources You Should Know">70 Amazing Free Data Sources You Should Know

  70 free data sources for 2017 on government, crime, health, financial and economic data, marketing and social media, journalism and media, real estate, company directory and review, and more to start working on your data projects.

  https://www.kdnuggets.com/2017/12/big-data-free-sources.html

• Transitioning to Data Science: How to become a data scientist, and how to create a data science team">Transitioning to Data Science: How to become a data scientist, and how to create a data science team

  "A good data scientist in my mind is the person that takes the science part in data science very seriously; a person who is able to find problems and solve them using statistics, machine learning, and distributed computing."

  https://www.kdnuggets.com/2017/12/transitioning-data-science-become-data-scientist-data-science-team.html

• Best Masters in Data Science and Analytics – Asia and Australia Edition

  The fourth edition of our comprehensive, unbiased survey on graduate degrees in Data Science and Analytics from around the world.

  https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-asia-australia.html

• Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018">Data Science, Machine Learning: Main Developments in 2017 and Key Trends in 2018

  The leading experts in the field on the main Data Science, Machine Learning, Predictive Analytics developments in 2017 and key trends in 2018.

  https://www.kdnuggets.com/2017/12/data-science-machine-learning-main-developments-trends.html

• Best Masters in Data Science and Analytics – Europe Edition

  The third part of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics, examining the programs from Europe.

  https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-europe.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

• Best Masters in Data Science and Analytics in US/Canada

  Second comprehensive list of master's degrees in the US and Canada with tuition information and duration.

  https://www.kdnuggets.com/2017/11/best-masters-data-science-analytics-us-canada.html

• Using TensorFlow for Predictive Analytics with Linear Regression

  This post presents a powerful and simple example of how to use TensorFlow to perform a Linear Regression. check out the code for your own experiments!

  https://www.kdnuggets.com/2017/11/tensorflow-predictive-analytics-linear-regression.html

• More than the Hype: Beyond Gartner’s Hype Cycle

  Gartner publishes hype cycles across different technologies and sectors. Here we conduct detailed analysis of Gartner’s Hype Cycles.

  https://www.kdnuggets.com/2017/11/beyond-gartners-hype-cycle.html

• Top 10 Machine Learning Algorithms for Beginners">Top 10 Machine Learning Algorithms for Beginners

  A beginner's introduction to the Top 10 Machine Learning (ML) algorithms, complete with figures and examples for easy understanding.
   
   

  https://www.kdnuggets.com/2017/10/top-10-machine-learning-algorithms-beginners.html

• Want to Become a Data Scientist? Read This Interview First">Want to Become a Data Scientist? Read This Interview First

  There’s been a lot of hype about Data Science... and probably just as much confusion about it.
   
   

  https://www.kdnuggets.com/2017/10/become-data-scientist-read-interview-first.html

• How Booking.com’s data scientist uses predictive analytics – PAW interview

  Lukas Vermeer will speak at the upcoming Predictive Analytics World for Business, 11-12 October in London. His Keynote will focus on new perspectives on the Data Science challenges we face today.

  https://www.kdnuggets.com/2017/09/paw-booking-data-scientist-predictive-analytics.html

• The Rise of GPU Databases">The Rise of GPU Databases

  The recent but noticeable shift from CPUs to GPUs is mainly due to the unique benefits they bring to sectors like AdTech, finance, telco, retail, or security/IT . We examine where GPU databases shine.

  https://www.kdnuggets.com/2017/08/rise-gpu-databases.html

• Introduction to Neural Networks, Advantages and Applications">Introduction to Neural Networks, Advantages and Applications

  Artificial Neural Network (ANN) algorithm mimic the human brain to process information. Here we explain how human brain and ANN works.

  https://www.kdnuggets.com/2017/07/introduction-neural-networks-advantages-applications.html

• AI and Deep Learning, Explained Simply">AI and Deep Learning, Explained Simply

  AI can now see, hear, and even bluff better than most people. We look into what is new and real about AI and Deep Learning, and what is hype or misinformation.
   

  https://www.kdnuggets.com/2017/07/ai-deep-learning-explained-simply.html

• For data scientists, now is the time to act; Forrester has insights to help you get started

  IBM, a leader in 2017 Forrester Wave Report for Predictive Analytics and Machine Learning Solutions, offers data scientists a complete toolkit, including predictive analytics and machine learning capabilities and more.

  https://www.kdnuggets.com/2017/06/ibm-forrester-insights.html

• Will Data Science Eliminate Data Science?

  There are elements of what we do which are AI complete. Eventually, Artificial General Intelligence will eliminate the data scientist, but it’s not around the corner.

  https://www.kdnuggets.com/2017/05/data-science-eliminate-data-science.html

• The Quant Crunch: The demand for data science skills

  This report, created by analyzing millions of job postings using advanced technology, divides Data Science and Analytics roles into 6 broad categories, and answers many questions, including cities, industries, job roles with most growth.

  https://www.kdnuggets.com/2017/05/quant-crunch-demand-data-science-skills.html

• Data Science & Machine Learning Platforms for the Enterprise

  A resilient Data Science Platform is a necessity to every centralized data science team within a large corporation. It helps them centralize, reuse, and productionize their models at peta scale.

  https://www.kdnuggets.com/2017/05/data-science-machine-learning-platforms-enterprise.html

• Deep Learning – Past, Present, and Future">Deep Learning – Past, Present, and Future

  There is a lot of buzz around deep learning technology. First developed in the 1940s, deep learning was meant to simulate neural networks found in brains, but in the last decade 3 key developments have unleashed its potential.

  https://www.kdnuggets.com/2017/05/deep-learning-big-deal.html

• How Big Data Helps Today’s Airlines Operate

  Companies all over the world have placed a lot of value on getting more insights from big data analytics. That’s not without good reason.

  https://www.kdnuggets.com/2017/04/big-data-airlines-operate.html

• Putting Together A Full-Blooded AI Maturity Model

  Here is a proposed “7A” model that is useful enough to capture of the core of what AI offers without falsely implying there is a static body of best practices in this area.

  https://www.kdnuggets.com/2017/04/ai-maturity-model.html

• Unsupervised Investments: A Comprehensive Guide to AI Investors

  This article presents a list of 80 funds investing in Artificial Intelligence and Machine Learning.

  https://www.kdnuggets.com/2017/03/unsupervised-investments-guide-ai-investors.html

• Homebrewed Deep Learning and Do-It-Yourself Robotics

  Learn how to experiment with embodied robotic cognition with IBM Project Intu, a platform that extends Deep Learning and other cognitive services to new devices with minimum coding.

  https://www.kdnuggets.com/2017/03/ibm-homebrewed-deep-learning-robotics.html

• Gartner Data Science Platforms – A Deeper Look

  Thomas Dinsmore critical examination of Gartner 2017 MQ of Data Science Platforms, including vendors who out, in, have big changes, Hadoop and Spark integration, open source software, and what Data Scientists actually use.

  https://www.kdnuggets.com/2017/03/thomaswdinsmore-gartner-data-science-platforms.html

• Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers">Gartner 2017 Magic Quadrant for Data Science Platforms: gainers and losers

  We compare Gartner 2017 Magic Quadrant for Data Science Platforms vs its 2016 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, MathWorks, Microsoft, and Quest.

  https://www.kdnuggets.com/2017/02/gartner-2017-mq-data-science-platforms-gainers-losers.html

• Creativity is Crucial in Data Science

  Creativity and Innovation are integral to Data Science and going forward in the world of AI, those are the things that will give edge to the humans over the machines.

  https://www.kdnuggets.com/2017/02/creativity-is-crucial-data-science.html

• Revenue per Employee: golden ratio, or red herring?

  There is growing support for revenue per employee as one of the most underrated metrics available for assessing business performance in a crowded marketplace.

  https://www.kdnuggets.com/2017/01/revenue-per-employee.html

• Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning

    To add here a short entry for an academic or research position related to AI, Big Data, Data Science, or Machine Learning, email 5 Read more »

  https://www.kdnuggets.com/academic/index.html

• Artificial Intelligence and Life in 2030

  Read this engaging overview of a report from the Stanford University 100 year study of Artificial Intelligence, “a long-term investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society.”

  https://www.kdnuggets.com/2016/12/artificial-intelligence-life-2030.html

• Top Reasons Why Big Data, Data Science, Analytics Initiatives Fail

  We examine the main reasons for failure in Big Data, Data Science, and Analytics projects which include lack of clear mandate, resistance to change, and not asking the right questions, and what can be done to address these problems.

  https://www.kdnuggets.com/2016/12/top-reasons-big-data-science-analytics-fail.html

• Top 20 Python Machine Learning Open Source Projects, updated">Top 20 Python Machine Learning Open Source Projects, updated

  Open Source is the heart of innovation and rapid evolution of technologies, these days. This article presents you Top 20 Python Machine Learning Open Source Projects of 2016 along with very interesting insights and trends found during the analysis.

  https://www.kdnuggets.com/2016/11/top-20-python-machine-learning-open-source-updated.html

• Here’s How IT Departments are Using Big Data

  The use cases for big data are clear when it comes to areas like marketing, healthcare, and retail, but IT’s use of big data is a little less clear. Recently, however, some IT departments are finding ways to use big data to improve their individual operations along with that of the entire organization.

  https://www.kdnuggets.com/2016/10/it-departments-using-big-data.html

• Top /r/MachineLearning Posts, September: Open Images Dataset; Whopping Deep Learning Grant; Advanced ML Courseware

  Google Research announces the Open Images dataset; Canadian Government Deep Learning Research grant; DeepMind: WaveNet - A Generative Model for Raw Audio; Machine Learning in a Year - From total noob to using it at work; Phd-level machine learning courses; xkcd: Linear Regression

  https://www.kdnuggets.com/2016/10/top-reddit-machine-learning-september.html

• Top 16 Active Big Data, Data Science Leaders on LinkedIn

  Who are the most active Big Data, Data Science Influencers and Leaders on LinkedIn? We analyze the data and bring you the list of key people to follow.

  https://www.kdnuggets.com/2016/09/top-big-data-science-leaders-linkedin.html

• How to Become a Data Scientist – Part 1">How to Become a Data Scientist – Part 1

  Check out this excellent (and exhaustive) article on becoming a data scientist, written by someone who spends their day recruiting data scientists. Do yourself a favor and read the whole way through. You won't regret it!

  https://www.kdnuggets.com/2016/08/become-data-scientist-part-1.html

• Does Data Scientist Mean What You Think It Means?

  Do we have an accurate idea of what "data scientist" actually means? Read this thought-provoking opinion on the topic.

  https://www.kdnuggets.com/2016/08/data-scientist-mean-think-means.html

• The Core of Data Science

  This post provides a simplifying framework, an ontology for Machine Learning and some important developments in dynamical machine learning. From first hand Data Science product experience, the author suggests how best to execute Data Science projects.

  https://www.kdnuggets.com/2016/08/core-data-science.html

• 10 Algorithm Categories for AI, Big Data, and Data Science

  With a focus on leveraging algorithms and balancing human and AI capital, here are the top 10 algorithm categories used to implement A.I., Big Data, and Data Science.

  https://www.kdnuggets.com/2016/07/10-algorithm-categories-data-science.html

• Interview: Florian Douetteau, Dataiku Founder, on Empowering Data Scientists

  Here is an interview with Florian Douetteau, founder of Dataiku, on how their tools empower data scientists, and how data science itself is evolving.

  https://www.kdnuggets.com/2016/07/interview-florian-douetteau-dataiku-empowering-data-scientists.html

• Gregory Piatetsky-Shapiro

  Gregory Piatetsky-Shapiro, Ph.D. is the Founder of KDnuggets, a leading site for Analytics, Big Data, Data Science, Data Mining, and Machine Learning. Gregory was a Read more »

  https://www.kdnuggets.com/gps.html

• Machine Learning Trends and the Future of Artificial Intelligence

  The confluence of data flywheels, the algorithm economy, and cloud-hosted intelligence means every company can now be a data company, every company can now access algorithmic intelligence, and every app can now be an intelligent app.

  https://www.kdnuggets.com/2016/06/machine-learning-trends-future-ai.html

• Thinking About Analytics Readiness

  This article touches upon an important but under-discussed topic of analytics readiness, including whether and when organizations should engage in analytics.

  https://www.kdnuggets.com/2016/06/thinking-domain-readiness.html

• Where are the Opportunities for Machine Learning Startups?

  Machine learning has permeated data-driven businesses, which means almost all businesses. Here are a few areas where it’s possible that big corporations haven’t already eaten everybody’s lunch.

  https://www.kdnuggets.com/2016/06/opportunites-machine-learning-startups.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

• 12 Inspiring Women In Data Science, Big Data

  It’s been well documented that women don’t come close to parity in STEM fields with their counterparts. Could the rise of big data and data science offer women a clearer path to success in technology? Here’s a list of 12 inspiring women who work in big data and data

  https://www.kdnuggets.com/2016/04/12-inspiring-women-in-data-science-big-data.html

• The Data Science Process, Rediscovered

  The Data Science Process is a relatively new framework for doing data science. It is compared to previous similar frameworks, and a discussion on process innovation versus repetition is then undertaken.

  https://www.kdnuggets.com/2016/03/data-science-process-rediscovered.html

• How IBM Watson is Taking on The World

  We have made tremendous progress in the field of data analysis and on the other, our technology is getting smart. IBM has taken a solid stride in the direction of Artificial Intelligence by unveiling its supercomputer IBM Watson, learn what it can do, its adopters and what it holds for the future.

  https://www.kdnuggets.com/2016/02/dezyre-ibm-watson-taking-world.html

• Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers">Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers

  We compare Gartner 2016 Magic Quadrant Advanced Analytics Platforms vs its 2015 version and identify notable changes for leaders and challengers: SAS, IBM, RapidMiner, KNIME, Dell, Angoss, and Microsoft.

  https://www.kdnuggets.com/2016/02/gartner-2016-mq-analytics-platforms-gainers-losers.html

• Data Science Skills for 2016

  As demand for the hottest job is getting hotter in new year, the skill set required for them is getting larger. Here, we are discussing the skills which will be in high demand for data scientist which include data visualization, Apache Spark, R, python and many more.

  https://www.kdnuggets.com/2016/02/data-science-skills-2016.html

• 4 Reasons Why We Need More Women In Big Data

  Gender imbalance in the workforce has been highlighted alarmingly during the recent years. Here, we are providing you a couple of reasons, including the inherent advantage and lack of stereotype for role to hire women data scientists.

  https://www.kdnuggets.com/2016/02/4-reasons-more-women-big-data.html

• Using Python and R together: 3 main approaches

  Well if Data Science and Data Scientists can not decide on what data to choose to help them decide which language to use, here is an article to use BOTH.

  https://www.kdnuggets.com/2015/12/using-python-r-together.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

• The different data science roles in the industry

  Data science roles and responsibilities are diverse and skills required for them vary considerably. Here, we have described the different data science roles along with the skill set, technical knowledge and mindset required to carry it.

  https://www.kdnuggets.com/2015/11/different-data-science-roles-industry.html

• 5 Best Machine Learning APIs for Data Science

  Machine Learning APIs make it easy for developers to develop predictive applications. Here we review 5 important Machine Learning APIs: IBM Watson, Microsoft Azure Machine Learning, Google Prediction API, Amazon Machine Learning API, and BigML.

  https://www.kdnuggets.com/2015/11/machine-learning-apis-data-science.html

• How Big Data is used in Recommendation Systems to change our lives

  A Recommendation systems have impacted or even redefined our lives in many ways. It works in well-defined, logical phases which are data collection, ratings, and filtering.

  https://www.kdnuggets.com/2015/10/big-data-recommendation-systems-change-lives.html

• The Data Science Machine, or ‘How To Engineer Feature Engineering’

  MIT researchers have developed what they refer to as the Data Science Machine, which combines feature engineering and an end-to-end data science pipeline into a system that beats nearly 70% of humans in competitions. Is this game-changing?

  https://www.kdnuggets.com/2015/10/data-science-machine.html

• The Master Algorithm – new book by top Machine Learning researcher Pedro Domingos

  Wonderfully erudite, humorous, and easy to read, the Master Algorithm by top Machine Learning researcher Pedro Domingos takes you on a journey to visit the 5 tribes of Machine Learning experts and helps you understand what the Master Algorithm can be.

  https://www.kdnuggets.com/2015/09/book-master-algorithm-pedro-domingos.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+

• Big Data Influence on Data Driven Advertising

  More and more companies relying on big data for their data driven initiatives. In a survey conducted by BlueKai, we are trying to capture what its impact on advertising strategies.

  https://www.kdnuggets.com/2015/08/big-data-influencing-data-driven-advertising.html

• Gartner 2015 Hype Cycle: Big Data is Out, Machine Learning is in

  Which are the most hyped technologies today? Check out Gartner's latest 2015 Hype Cycle Report. Autonomous cars & IoT stay at the peak while big data is losing its prominence. Smart Dust is a new cool technology for the next decade!

  https://www.kdnuggets.com/2015/08/gartner-2015-hype-cycle-big-data-is-out-machine-learning-is-in.html

• Paradoxes of Data Science

  There are many paradoxes, ironies and disconnects in today’s world of data science: pain points, things ignored, shoved under the rug, denied or paid lip.

  https://www.kdnuggets.com/2015/08/paradoxes-data-science.html

• Data Science and Big Data: Two very Different Beasts

  Creating artifact from the ore requires the tools, craftmanship and science. Same is the case of big data and data science, here we present the distinguishing factors between the ore and the artifact.

  https://www.kdnuggets.com/2015/07/data-science-big-data-different-beasts.html

• Top 30 Social Network Analysis and Visualization Tools

  We review major tools and packages for Social Network Analysis and visualization, which have wide applications including biology, finance, sociology, network theory, and many other domains.

  https://www.kdnuggets.com/2015/06/top-30-social-network-analysis-visualization-tools.html

• Top LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science – Discussions up, Engagement down

  While discussions are growing, the comments and engagements are falling, especially since 2012. We cluster groups into 4 quadrants by activity level and identify most active and engaged groups. Open groups are twice as active as closed.

  https://www.kdnuggets.com/2015/05/top-linkedin-groups-analytics-big-data-mining-activity-engagement.html

• How To Become a Data Scientist And Get Hired

  A data scientist should be able to choose the right technology, understand the business context and solve a wide range of problems. To hire the the right data scientist, check the tips list in the post.

  https://www.kdnuggets.com/2015/05/datafloq-become-data-scientist-get-hired.html

• Algorithmia: Building a web site explorer in 5 easy steps

  We show how to use Algorithmia for quickly building a functional web site explorer in 5 steps: GetLinks, PageRank, Url2text, Summarizer and AutoTag.

  https://www.kdnuggets.com/2015/04/algorithmia-building-web-site-explorer-5-easy-steps.html

• Interview: Ksenija Draskovic, Verizon on Dissecting the Anatomy of Predictive Analytics Projects

  We discuss Predictive Analytics use cases at Verizon Wireless, advantages of a unified data view, model selection and common causes of failure.

  https://www.kdnuggets.com/2015/04/interview-ksenija-draskovic-verizon-predictive-analytics.html

• Top 30 people in Big Data and Analytics

  Innovation Enterprise has compiled a top 30 list for individuals in big data that have had a large impact on the development or popularity of the industry.

  https://www.kdnuggets.com/2015/02/top-30-people-big-data-analytics.html

• Interview: Eli Collins, Cloudera on Evolution and Future of Big Data Ecosystem

  We discuss the change in Big Data priorities, risks, Big Data ecosystem, rise of data culture in organizations, challenges, advice and more.

  https://www.kdnuggets.com/2015/02/interview-eli-collins-cloudera-big-data-ecosystem.html

• Exclusive: Interview with Chris Wiggins, NYTimes Chief Data Scientist

  New York Times Chief Data Scientist Chris Wiggins on the transformation of digital journalism, key Data Science skills, favorite tools, why better wrong than nice, and how Thomas Jefferson is very relevant today.

  https://www.kdnuggets.com/2015/01/exclusive-interview-chris-wiggins-nytimes-chief-data-scientist.html

• KDnuggets™ News 14:n34, Dec 17

  Features | Software | Opinions | Interviews | Reports | News | Webcasts | Jobs | Academic | Tweets | CFP | Quote Features New Read more »

  https://www.kdnuggets.com/2014/n34.html

• Interview: Daqing Zhao, Macys.com on Building Effective Data Models for Marketing

  We discuss the challenges in identifying the fair price of ad media, recommendations for building effective models for online marketing, unique challenges of Mobile channel, selection of Big Data tools, and more.

  https://www.kdnuggets.com/2014/12/interview-daqing-zhao-macys-data-models-marketing.html

• KDnuggets™ News 14:n32, Dec 3

  Features | Software | Opinions | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP | Quote Read more »

  https://www.kdnuggets.com/2014/n32.html

• Most Popular Slideshare Presentations on Big Data

  Hadoop, the cloud, and Microsoft Azure are just a few of the many topics covered by the top Big Data SlideShare presentations retrieved from the SlideShare API.

  https://www.kdnuggets.com/2014/11/most-popular-slideshare-presentations-big-data.html

• KDnuggets™ News 14:n29, Nov 5

  Features | Software | Opinions | News | Webcasts | Courses | Meetings | Jobs | Publications | Tweets | CFP | Quote Features Big Read more »

  https://www.kdnuggets.com/2014/n29.html

• KDnuggets™ News 14:n28, Oct 29

  Features | Software | Opinions | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP Read more »

  https://www.kdnuggets.com/2014/n28.html

• KDnuggets™ News 14:n27, Oct 22

  Features | Software | Opinions | Interviews | Reports | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n27.html

• KDnuggets™ News 14:n26, Oct 8

  Features | Software | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets | CFP Read more »

  https://www.kdnuggets.com/2014/n26.html

• Most Viewed Web Mining Lectures

  Discover interesting lectures on topics like mining information networks and identifying influential members of online communities in this list of the top viewed web mining lectures on videolectures.net.

  https://www.kdnuggets.com/2014/09/most-viewed-web-mining-lectures-videolectures.html

• KDnuggets™ News 14:n23, Sep 3

  Features | Software | News | Opinions | Interviews | Reports | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n23.html

• KDnuggets™ News 14:n22, Aug 20

  Features | News | Opinions | Interviews | Webcasts | Courses | Meetings | Jobs | Publications | Tweets | Quote Features Four main languages Read more »

  https://www.kdnuggets.com/2014/n22.html

• KDnuggets™ News 14:n21, Aug 13

  Features | Software | News | Opinions | Interviews | Reports | Webcasts | Courses | Meetings | Jobs | Tweets | Quote Features Certificates Read more »

  https://www.kdnuggets.com/2014/n21.html

• KDnuggets™ News 14:n20, Aug 6

  Features | Software | News | Opinions | Interviews | Reports | Webcasts | Meetings | Jobs | Academic | Publications | Tweets | Quote Read more »

  https://www.kdnuggets.com/2014/n20.html

• Interview: Sastry Malladi, StubHub on Designing Big Data Architecture for the Unknown Future

  We discuss the Big Data architecture at StubHub, important factors in architecture design, hybrid approach of using Big Data along with traditional data warehouses, challenges, importance of meta-data and more.

  https://www.kdnuggets.com/2014/07/interview-sastry-malladi-stubhub-big-data-architecture.html

• KDnuggets™ News 14:n19, Jul 30

  Features | Software | News | Opinions | Interviews | Reports | Webcasts | Courses | Meetings | Jobs | Academic | Publications | Tweets Read more »

  https://www.kdnuggets.com/2014/n19.html

• KDnuggets™ News 14:n18, Jul 16

  Features (6) | Software (2) | Opinions (7) | News (4) | Webcasts (3) | Courses (1) | Meetings (4) | Jobs (9) | Tweets Read more »

  https://www.kdnuggets.com/2014/n18.html

• KDnuggets™ News 14:n15, Jun 18

  Features (6) | Software (3) | Opinions (6) | News (2) | Webcasts (1) | Courses (1) | Jobs (7) | Academic (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n15.html

• KDnuggets™ News 14:n14, Jun 10

  Features (8) | Software (3) | Opinions (14) | News (6) | Webcasts (3) | Courses (1) | Meetings and Reports (9) | Jobs (6) Read more »

  https://www.kdnuggets.com/2014/n14.html

• Interview: Richard Wendell, VP, Data Science, TE Connectivity on Strategy for Analytics Projects

  We discuss the last mile of the execution path of Analytics projects, five critical pillars of success and data-driven decision making through advanced analytics.

  https://www.kdnuggets.com/2014/05/interview-richard-wendell-te-connectivity-analytics-projects.html

• Stacking the Deck: The Next Wave of Opportunity in Big Data

  A leading venture capitalist explains why Big Data infrastructure market is mostly mature and where lies the next big area of opportunities related to Big Data.

  https://www.kdnuggets.com/2014/05/stacking-deck-next-wave-opportunity-big-data.html

• KDnuggets™ News 14:n12, May 21

  Features (11) | Software (4) | Opinions (9) | News (7) | Webcasts (1) | Courses (3) | Meetings and Reports (10) | Jobs (14) Read more »

  https://www.kdnuggets.com/2014/n12.html

• KDnuggets™ News 14:n11, May 7

  Features (7) | Opinions (5) | Software (1) | News (3) | Webcasts (4) | Meetings (2) | Jobs (6) | Publications (1) | Tweets Read more »

  https://www.kdnuggets.com/2014/n11.html

• KDnuggets™ News 14:n10, Apr 30

  Features (9) | Opinions (5) | Software (3) | News (6) | Webcasts (1) | Courses (3) | Meetings (4) | Jobs (10) | Academic Read more »

  https://www.kdnuggets.com/2014/n10.html

• KDnuggets™ News 14:n08, Apr 3

  Features (4) | Opinions (4) | News (5) | Webcasts (3) | Meetings (1) | Jobs (4) | Publications (4) | Tweets (4) | CFP Read more »

  https://www.kdnuggets.com/2014/n08.html

• Evolution of Fraud Analytics – An Inside Story

  The amazing analytic innovations in payment fraud prevention can be grouped into three major categories: large data-set modeling, sparse data-set modeling, and false-positive reductions - a view from the inside.

  https://www.kdnuggets.com/2014/03/evolution-fraud-analytics-inside-story.html

• KDnuggets™ News 14:n06, Mar 19

  Features (11) | News (3) | Software (6) | Webcasts (3) | Courses (5) | Competitions (3) | Meetings (6) | Jobs (3) | Academic Read more »

  https://www.kdnuggets.com/2014/n06.html

• 10 Most Influential Analytics Leaders in India

  Analytics India Magazine’s annual ranking of the 10 Most Influential Analytics Leaders in India, in terms of Impact, Leadership, Entrepreneurship and Analytics evangelism.

  https://www.kdnuggets.com/2014/02/10-most-influential-analytics-leaders-india.html

• KDnuggets™ News 14:n05, Mar 5

  Features (10) | News (6) | Software (5) | Webcasts (1) | Courses (6) | Meetings (5) | Jobs (7) | Academic (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n05.html

• KDnuggets™ News 14:n04, Feb 19

  Features (7) | News (10) | Software (2) | Webcasts (2) | Courses (2) | Meetings (2) | Jobs (10) | Academic (4) | Publications Read more »

  https://www.kdnuggets.com/2014/n04.html

• 10 Emerging Analytics Startups in India

  India is becoming a powerhouse in Analytics, and here are 10 emerging Indian Analytics startups to watch in 2014: Crayon Data, Flutura, Axtria, Flytxt, Sapience Analytics, SIBIA Analytics, Ideal Analytics, FORMCEPT, IQR Consulting, and StatLabs.

  https://www.kdnuggets.com/2014/02/10-emerging-analytics-startups-india.html

• KDnuggets™ News 14:n03, Feb 5

  Features (9) | Software (4) | Webcasts (2) | Courses, Events (9) | Meetings (3) | Jobs (9) | Academic (3) | Competitions (1) | Publications (7) | Tweets (7) | NewsBriefs (3) | CFP (14) | Quote Features Top Trends in Analytics and Big Data ahead of Strata 2014 Read more »

  https://www.kdnuggets.com/2014/n03.html

• KDnuggets™ News 14:n02, Jan 22

  Features (10) | Software (3) | Webcasts (2) | Courses, Events (5) | Meetings (3) | Jobs (11) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2014/n02.html

• 2014 Jan: Courses and Events: Analytics, Big Data, Data Mining and Data Science

  All (69) | News, Software (19) | Courses, Events (20) | Publications (15) JMP Analytically Speaking Webcasts: Rob Reul (Jan 29), Michael Schrage (Feb 12) Read more »

  https://www.kdnuggets.com/2014/01/courses-events-old.html

• 2014 Jan: Features, News, Software: Analytics, Big Data, Data Mining, and Data Science

  All (69) | News, Software (19) | Courses, Events (19) | Publications (15) Split on Data Science Skills: Individual vs Team approach ( comments) - Read more »

  https://www.kdnuggets.com/2014/01/news-software-old.html

• 2014 Jan: Analytics, Big Data, Data Mining and Data Science News

  All (84) | News, Software (26) | Courses, Events (30) | Publications (15) | Top Tweets (13)   AltaPlana 2014 Text Analytics Market Study - Read more »

  https://www.kdnuggets.com/2014/01/index-old.html

• FICO Lessons in Developing, Applying Decision Modelling Methods

  Analytically sophisticated businesses combine predictive analytics and decision models with optimization to solve complex problems and achieve good results. Top FICO expert explains.

  https://www.kdnuggets.com/2013/12/fico-lessons-developing-applying-decision-modelling-methods.html

• 3 Stages of Big Data

  The confusion around Big Data is partly the result of different aspects of Big Data which have very different meaning and produce very different results. We propose a 3 stage classification.

  https://www.kdnuggets.com/2013/12/3-stages-big-data.html

• 2013 Nov Events: Analytics, Big Data, Data Mining and Data Science Courses, Events, Webinars

  All (116) | News, Software (28) | Courses, Events (23) | Jobs | Academic | Publications (36) Upcoming December Webcasts and Chats on Analytics, Big Read more »

  https://www.kdnuggets.com/2013/11/courses-events.html

• 2013 Nov News: Analytics, Big Data, Data Mining and Data Science Features, News, Software

  All (116) | News, Software (28) | Courses, Events (23) | Jobs | Academic | Publications (36) Yahoo SAMOA, Open Source Platform for Mining Big Read more »

  https://www.kdnuggets.com/2013/11/news-software.html

• 2013 Nov: Analytics, Big Data, Data Mining and Data Science Posts

  All (116) | News, Software (28) | Courses, Events (23) | Jobs | Academic | Publications (36) Yahoo SAMOA, Open Source Platform for Mining Big Read more »

  https://www.kdnuggets.com/2013/11/index.html

• Data Mining / Analytic News, Apr 2013

  Features (20) | Software (9) | Courses, Events (23) | Jobs | Academic | Competitions (5) | Publications (27) | News Briefs (5) Top news for Read more »

  https://www.kdnuggets.com/2013/04/index.html

• KDnuggets™ News 13:n27, Nov 13

  Features (10) | Software (4) | Webcasts (3) | Courses, Events (5) | Meetings (3) | Jobs (7) | Academic (4) | Competitions (2) | Publications Read more »

  https://www.kdnuggets.com/2013/n27.html

• KDnuggets™ News 13:n23, Sep 24

  Features (8) | Software (3) | Webcasts (2) | Courses, Events (4) | Meetings (3) | Jobs (10) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n23.html

• KDnuggets™ News 13:n21, Aug 28

  Features (9) | Software (1) | Webcasts (2) | Courses, Events (3) | Meetings (4) | Jobs (5) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n21.html

• KDnuggets™ News 13:n19, Aug 7

  Features (9) | Software (5) | Webcasts (3) | Courses, Events (1) | Meetings (3) | Jobs (3) | Academic (1) | Competitions (3) | Publications Read more »

  https://www.kdnuggets.com/2013/n19.html

• KDnuggets™ News 13:n18, Jul 31

  Features (8) | Software (4) | Webcasts (2) | Courses, Events (5) | Meetings (1) | Jobs (14) | Academic (2) | Competitions (2) | Publications Read more »

  https://www.kdnuggets.com/2013/n18.html