Mon.Dec 23, 2019

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“If you are explaining, you are losing”

Juice Analytics

The title comes from Ronald Reagan, sometimes known as “The Great Communicator.” If he knew anything, he knew that simplicity was foundational when reaching a broad audience. That doesn’t stop people from finding ways to overcomplicate their data visualizations. Take this example from The Data Viz Catalogue. It is called a Radial Bar Chart. Radial Bar Chart.

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What is a Data Scientist Worth?

KDnuggets

What is the Salary of a Data Scientist in 2019? Let's have a look at some data to see how we can answer that question.

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IDC: FanRuan ranks No.1 in China’s BI market share in H1 2019

FineReport

According to IDC Semiannual Software Tracker for the First Half of 2019, China’s business intelligence software market size was $ 210 million in the first half of 2019, with a year-on-year increase of 24.6%. IDC predicts that the size of China’s business intelligence software market in 2019 will be USD 550 million, with a year-on-year increase of 26.2%.

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Deriving Value from Data Lakes with AI

Sisense

Blog. Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. In Growing Up with AI , we help you keep up with all the ways this pioneering technology is changing the world. Use AI to tackle huge datasets. Let’s talk about AI and machine learning (ML). Does your company actually have the tools and processes to use these innovations?

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Get Better Network Graphs & Save Analysts Time

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.

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How Machine Learning And Contract Management Go Together

Smart Data Collective

Last year, Harvard Business Review published a great article on the ways that AI are changing contract management. Author Beverly Rich has said that AI and machine learning will be integral to contracts in the 21 st Century. Rich said that there are some challenges to utilizing AI for contracts. The biggest issue is that the majority of companies don’t retain data on their contracts.

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What is Data Catalog and Why You Should Care?

KDnuggets

Learn why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration.

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A Deadly Mistake Uncovered on The Best Best Beagle Dog Harness and How to Avoid It

BizAcuity

Here’s What I Know About the Best Best Beagle Dog Harness. A use is a simple demand for everyone who owns a beagle. When you’re on the lookout for a harness which may navigate a lot of weather conditions, we’ve got a few recommendations that we believe you may like. From then on, make certain that the kind of freedom no-pull dog control you select is usually suited for outdoor wear, if that’s what you want to your pet.

IT 52
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Merging AI With Online Marketing For Explosive Growth

Smart Data Collective

The market size for artificial intelligence technology is expected to reach $190.6 billion by 2025. This statistic is hardly surprising. Artificial intelligence is transforming the corporate world in almost every way. One of the biggest ways that AI is changing the future of business is by improving the effectiveness of online marketing. Smart businesses will look for new ways to use AI to boost their online marketing strategies.

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3 Mistakes you should not make in a Data Science Interview

MLWhiz

People ask me a lot about how to land a data science job? Or how to switch careers or how to study for a job interview? Mostly my answer is to do some MOOCs, create some projects, participate in Kaggle, try to get in a startup and don’t give up. But yet there are some things everyone should understand about data science jobs. Data science jobs involve a lot of to and fro communication and involve a lot of people handling skills.

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Kickstart Your Storage Modernization Strategy

CDW Research Hub

More data, more clouds. You’ve probably noticed that conversations about the cloud have evolved in recent years from simply referencing “the cloud” to focusing on multi-cloud capabilities. The conversation is no longer about where you can use the cloud; it’s about where you can use the cloud to better augment the applications and services you need to deliver to your customers.

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Understanding User Needs and Satisfying Them

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.

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Data Preparation Need Not Be Restrictive and Time-Consuming!

Smarten

Self-Serve Data Prep Takes the Pain Out of Data Preparation! Let’s talk about data preparation! That often cumbersome, always complex process by which data scientists and IT professionals gather and prepare data for analysis. Data prep involves the extraction and transformation of raw data to prepare that data for analysis. It includes cleaning and reducing that data by removing outliers and standardizing data formats, among other things.

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Trends on the Data Warehouse Implementation Market

ScienceSoft

Explore the benefits your company can obtain by following 2020 market trends for implementing a data warehouse.

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Outdoor Dog Houeses Secrets

BizAcuity

If you would like your pet dog to be happy and fit, then you need to provide a cozy protection for him. Your dog may possibly enjoy the outdoor in a kennel region and have the ability to get from the harsh weather conditions when expected. Furthermore, canines have a tendency to look more secure in a doghouse for the proper size. Your dog adores you and your house, but at times, much just like a young adult, they simply need their personal space that comes in the shape of a dog residence.

IT 52
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Back to Basics: Options for the Cloud

Nutanix

For some time, Nutanix has been talking about using an Enterprise Cloud to run a wide range of applications and workloads in IT environments, large and small.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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AI Experience Roadshow Europe 2019: Highlights from Stockholm, Paris, and Madrid

DataRobot

Following the success of AI Experience London earlier in the year and in response to customer demand, we decided to extend the roadshow to other European cities. We held inaugural AI Experience events in Stockholm, Paris, and Madrid, attracting more than 300 attendees. Participants were highly engaged, evidently eager to start new AI projects or increase their capabilities.

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Top 4 NetSuite Reporting Challenges and How to Address Them

Jet Global

Not everyone knows that NetSuite was the world’s first cloud company. As far back as 1998, they were pioneering the software as a service (SaaS) revolution that now dominates today’s tech landscape. Since NetSuite is both an early innovator and a continual industry leader, it’s not surprising that over 18,000 companies located in more than 200 countries and territories rely on this ERP solution to manage their enterprise data.

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How to Choose a New Inventory Software System

Smart Data Collective

Inventory management software, if implemented correctly, can help you save time, improve the accuracy of your product tracking, and even improve your bottom-line financials. However, there are many ways to get it wrong. If you choose a platform that’s hard to use, you’ll spend as much time training employees and correcting their mistakes as you’ll save by using it.