Smart Data Collective
OCTOBER 3, 2019
Big data is playing a vital role in the evolution of small business. A compilation of research from the G2 Learning Hub Shows the number of businesses relying on big data is rising. They cited one study showing that 40% of businesses need to use unstructured data on a nearly daily basis. One of the ways that businesses can gain an edge is with digital marketing strategies that hinge on big data.
Peter James Thomas
OCTOBER 1, 2019
Introduction. The recent update of The Data & Analytics Dictionary featured an entry on Charts. Entries in The Dictionary are intended to be relatively brief [1] and also the layout does not allow for many illustrations. Given this, I have used The Dictionary entries as a basis for this slightly expanded article on the subject of chart types. A Chart is a way to organise and Visualise Data with the general objective of making it easier to understand and – in particular – to disc
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Corinium
OCTOBER 3, 2019
The benefits of becoming a data-driven organization are clear. Enterprises that succeed in creating data environments where innovation can flourish tend to have happier customers and generate more revenue as a result.
Analytics Vidhya
SEPTEMBER 29, 2019
Overview Seaborn is a popular data visualization library for Python Seaborn combines aesthetic appeal and technical insights – two crucial cogs in a data. The post Become a Data Visualization Whiz with this Comprehensive Guide to Seaborn in Python appeared first on Analytics Vidhya.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
DataCamp
OCTOBER 1, 2019
This cheat sheet guides you through the basics of how data science can help your business, including building your data science team and the common steps in the data science workflow.
KDnuggets
OCTOBER 2, 2019
Applying a clustering algorithm is much easier than selecting the best one. Each type offers pros and cons that must be considered if you’re striving for a tidy cluster structure.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
OCTOBER 2, 2019
Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.
erwin
OCTOBER 3, 2019
Enterprise architecture (EA) benefits modern organizations in many ways. It provides a holistic, top down view of structure and systems, making it invaluable in managing the complexities of data-driven business. Once considered solely a function of IT, enterprise architecture has historically operated from an ivory tower. It was often siloed from the business at large, stifling the potential benefits of the holistic view it could have provided.
KDnuggets
OCTOBER 2, 2019
As data scientists who are the brains behind the AI-based innovations, you need to understand the significance of data preparation to achieve the desired level of cognitive capability for your models. Let’s begin.
Corinium
OCTOBER 2, 2019
C. ustomers demand more instantaneous, personalized attention, and companies are leveraging new technologies that go beyond traditional voice and email customer service channels to meet those demands. But just how meaningful are these experiences on consumer buying behavior? How long does the effect last? Do new technologies and recent cultural. shifts significantly change the way experiences are evaluated?
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
Analytics Vidhya
SEPTEMBER 30, 2019
Overview A hands-on tutorial to build your own convolutional neural network (CNN) in PyTorch We will be working on an image classification problem – The post Build an Image Classification Model using Convolutional Neural Networks in PyTorch appeared first on Analytics Vidhya.
Data Science 101
SEPTEMBER 28, 2019
Amazon and Coursera have teamed up to create Getting Started with AWS Machine Learning. Topics covered are: Machine Learning. Computer Vision. NLP. Amazon Sagemaker. Happy Learning!
KDnuggets
OCTOBER 1, 2019
Data science education in Europe has been reevaluated and new recommendations are leading the way to the next generation of data science Master's courses to better support and train students.
Corinium
OCTOBER 1, 2019
What are you going to present at Verify 2019? I am looking at the affect we have when we can identify everybody. Does that makes people safer or less safe, particularly vulnerable people? This is a little bit of an unusual topic for an identity conference, but it is an important question that I think will be very interesting.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Darkhorse
OCTOBER 1, 2019
This is part one of a two-part series on building effective visualizations. In this post, we take a shallow dive into evaluating existing visualizations. In the next post, we’ll dive a little deeper as we explore techniques on how to improve them. It’s very easy to visualize data. Too easy. The problem is that it’s rarely done well. It’s very easy to chart your data in current software tools.
Data Science 101
OCTOBER 2, 2019
A few weeks ago, I attended my first SQLSaturday event. I brought along my camera and was lucky enough to record a couple interviews. This is one of those interviews. I sat down with John Byrnes and we discussed: Where has SQL taken his career? What does the SQLSaturday community mean to him? Why should someone attend a SQLSaturday event? SQLSaturday Interview with John Byrnes.
KDnuggets
SEPTEMBER 30, 2019
This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.
Smart Data Collective
OCTOBER 2, 2019
According to a recent Adobe report , marketers have identified data-driven marketing as the most important business opportunity for 2019. That clearly indicates the importance that marketers give to data and why you should too. After all, data-driven marketing can help you achieve numerous benefits for your business, ultimately leading to an increase in conversions.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
TDAN
OCTOBER 1, 2019
Is there a difference between open data and public data? Yes. And it’s a big one. There is a general consensus that when we talk about open data, we are referring to any piece of data or content that is free to access, use, reuse, and redistribute. Due to the way most governments have rolled out […].
IBM Big Data Hub
OCTOBER 2, 2019
Today, “doing more with less” is a key principle driving business strategy across many resource-intensive industries. Organisations are looking to get more out of artificial intelligence (AI) and machine learning (ML) than just great insights. They need access to recommendations that help simplify complex decisions around how scarce resources should be allocated, how to schedule tasks, and how to deal with constraints.
KDnuggets
OCTOBER 4, 2019
This is it: the last SQL guide for data analysis you'll ever need! OK, maybe it’s actually the first. But it’ll give you a solid head start.
Smart Data Collective
OCTOBER 1, 2019
What exactly is artificial intelligence (AI) and what business does it have in higher education? Simply put, AI is an attempt to emulate human knowledge by programming extensive rules into computers. Through machine learning and expert systems, machines can produce patterns within mass flows of data and pinpoint correlations that couldn’t possibly be immediately intuitive to humans.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Sisense
OCTOBER 2, 2019
Blog. Different Business Needs Changes Convergence What to Do Now. Reporting and business intelligence are often used to refer to the same thing — but wrongly so! The difference between reporting and business intelligence goes beyond charts for the first or data correlations for the second. To understand how they compare, it’s best to start with the separate business and end-user needs that each of these two functions is meant to satisfy.
IBM Big Data Hub
OCTOBER 1, 2019
IBM Watson Studio Premium for Cloud Pak for Data includes IBM Decision Optimization, SPSS Modeler and more. Read why you need this for your data. .
KDnuggets
OCTOBER 3, 2019
There is no clear outline on how to study Machine Learning/Deep Learning due to which many individuals apply all the possible algorithms that they have heard of and hope that one of implemented algorithms work for their problem in hand. Below, I've listed out some of the steps that one should adopt while solving a machine learning problem.
Smart Data Collective
OCTOBER 4, 2019
Smart cities are the future of our urban centers, and even of suburbs and small towns – and this transformation is critical. Equipped with sensors and constantly collecting data, this tech revolution aims to make crowded cities more efficient, keep residents safer, and even help protect our environment through resource management. Making this shift, however, will require big investments on the part of both government bodies and businesses.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Timo Elliott
OCTOBER 3, 2019
I recently had the honor of delivering the keynote at the “The Journey to the Top” Event at SAP UK headquarters, and you can see my slides and a video in my previous post How Data is Powering The Future of Business: Trends and Opportunities. Here’s what I took away from the event: The world is changing—so we should probably innovate!
IBM Big Data Hub
OCTOBER 3, 2019
Today’s data science and analytics teams are often composed of individuals with a variety of skill sets, educational backgrounds, levels of exposure to open source tools and professional needs.
KDnuggets
OCTOBER 1, 2019
There are three types of emotion AI, and their combinations. In this article, I’ll briefly go through these three types and the challenges of their real-life applications.
Smart Data Collective
SEPTEMBER 30, 2019
Big data is making a number of cybersecurity risks worse than ever. A growing number of companies are starting to explore the need to utilize big data to enhance their digital security. They are also starting to recognize that hackers are using big data as well, so they need to monitor them carefully. One of the biggest areas that they need to address is password security.
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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