Analytics Vidhya
JULY 24, 2019
We are thrilled to announce the launch of the world’s biggest online data science quizzing platform: Datamin! Do you feel some of your peers. The post DATAMIN – Unveiling the World’s Biggest Online Data Science Quizzing Platform appeared first on Analytics Vidhya.
Corinium
JULY 24, 2019
There are three problems hamstringing your access to data insights. Insights are hard to unearth because it requires a lot of systematic drilling and filtering. And that isn’t how your business people want to spend their day (nor is it what they’re paid for). Plus, your analysts are stretched to breaking point. Moreover, analysts know that trawling for insights takes a huge amount of time and there is simply too much data to search thoroughly.
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KDnuggets
JULY 24, 2019
Recently, researchers from the Google Brain team published a paper proposing a new method called Concept Activation Vectors (CAVs) that takes a new angle to the interpretability of deep learning models.
Boris Evelson
JULY 24, 2019
The past two years have seen a significant divergence in the maturity of the supply and the demand sides of the BI market. This divergence will influence market dynamics for the next two years and affect enterprise insights leaders making strategic vendor and platform decisions. Specifically, the: Supply side is very mature. BI technology has […].
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Sisense
JULY 24, 2019
Blog. In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. In this blog, I would like to expand on NLQ and discuss how this AI technology can be leveraged in our domain.
Smart Data Collective
JULY 24, 2019
Big data is often used to make the world safer. We can use big data to develop better predictive analytics tools to identify risks and take the right precautions. One of the best examples is with using big data to protect driver safety. Companies that use big data can create better contingency plans. They will make sure that the right measures are in place to avoid the risk of injuries and deaths on the road.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
JULY 24, 2019
Artificial intelligence is changing the nature of payroll. According to Accounting Today, AI is starting to merge many traditional accounting and payroll functions , which will simplify a lot of business processes. One of the biggest examples is with the advent of Single Touch Payroll. Single Touch Payroll is the Biggest Breakthrough in AI Driven Accounting Solutions.
KDnuggets
JULY 24, 2019
Also: Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS; The Hundred-Page Machine Learning Book Book Review; The Evolution of a ggplot; Notes on Feature Preprocessing: The What, the Why, and the How.
CDW Research Hub
JULY 24, 2019
S o you’ve built a landing zone in AWS. You’ve empowered some app owners to build. You now have some production applications running. You have a pipeline full of other applications you plan to move to AWS over the next year or two of your cloud journey. Now what? The biggest selling point about cloud isn’t cost, or flexibility— it’s agility. It’s hard to gain speed and agility if your IT group continues to operate in the same traditional manner where there are human gates and processes and ticke
KDnuggets
JULY 24, 2019
Learn how to incorporate security into your practices without slowing down your project. Read this ActiveState blog post to learn more.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Boris Evelson
JULY 24, 2019
The past two years have seen a significant divergence in the maturity of the supply and demand sides of the business intelligence (BI) market. This divergence will influence market dynamics for the next two years and affect enterprise insights leaders making strategic vendor and platform decisions. Specifically, the: Supply side is very mature. BI technology […].
bridgei2i
JULY 24, 2019
FREMONT, CALIFORNIA, July 24, 2019. BRIDGEi2i Analytics Solutions added another feather in its cap after being named among Forrester Research, Inc’s ‘Now Tech: AI Consultancies In Asia Pacific, Q3 2019’ research. Internationally acclaimed for featuring 23 AI service providers across the Asia Pacific region, Forrester’s Now Tech report helps enterprises select the best vendors to partner with based on their market presence and service offerings.
datapine
JULY 24, 2019
It’s often said that knowledge is equal to power. While it isn’t possible to apply this statement in a universal sense (and in fact, it’s somewhat cliché), the notion does serve to highlight an important truth regarding today’s digital world: consumer values are continually evolving. Data has never been more readily accessible. Approaches to communication are changing, and success in today’s technology-driven world correlates directly to the quantity rather than the quality of one’s information—
Peter James Thomas
JULY 24, 2019
I was asked the question appearing in the title of this short article recently and penned a reply, which I thought merited sharing with a wider audience. Here is an expanded version of what I wrote: Let’s start by considering some related questions: Why are so many businesses still doing a bad job of controlling their costs in 2019? Why are so many businesses still doing a bad job of integrating their acquisitions in 2019?
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Smart Data Collective
JULY 24, 2019
At Smart Data Collective, we often emphasize the biggest trends in the field of big data. We have talked extensively about the application of big data in everything from large-scale marketing to criminal justice reform. However, the benefits of big data can also be extended to simpler, everyday tasks, such as scheduling. Big Data Offers New Scheduling Solutions.
Smart Data Collective
JULY 24, 2019
The big data revolution has changed the way people do business online, but it has also inevitably given rise to new types of cyber-attacks. Today, cybercriminals are using highly sophisticated methods to infiltrate websites, web servers, and web applications to access critical data or paralyze operations. They take advantage of big data and artificial intelligence to orchestrate more vicious attacks, so businesses need to be prepared.
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