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
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.
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AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
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.
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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.
KDnuggets
SEPTEMBER 30, 2019
This article will introduce the different type of data sets, data object and attributes.
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.
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?
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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.
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.
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.
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.
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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
SEPTEMBER 30, 2019
Three new releases that will help researchers streamline the implementation of reinforcement learning programs.
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.
Corinium
SEPTEMBER 29, 2019
Data as an Asset. I first heard the phrase “our data is one of our biggest assets” while working in the Munich headquarters of a multinational corporation. It had been uttered by one executive or other amid a talk full of content-free phrases that I had mostly tuned out, but being related to my area of expertise, this one caught what was left of my attention.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Dataiku
OCTOBER 4, 2019
Data scientists are busy people, but that doesn't mean they don't have time for fun! We've created a data science crossword that melds work and play, so see if you have what it takes.
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.
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.
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.
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ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
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
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
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.
DataRobot
SEPTEMBER 30, 2019
Data is the fuel that drives high-scale innovation with AI. Enterprises that put a strategy in place encouraging a culture of collaboration and sharing of their data assets will benefit the most. These organizations will see exponential gains in productivity with AI. Their employees will work together on projects, sharing their ideas, things they create, and their domain expertise.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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
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.
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 […].
DataRobot
OCTOBER 1, 2019
This blog is meant to be a fun and unique take on predicting the 2019 MLB World Series winner.
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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?
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