Wed.Apr 08, 2020

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5 Amazing Google Colab Hacks You Should Try Today!

Analytics Vidhya

Introduction Google Colab is an amazing gift to the data science community from the fine folks at Google. Colab gives us the ability to. The post 5 Amazing Google Colab Hacks You Should Try Today! appeared first on Analytics Vidhya.

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Create Modern SQL Dashboards With Professional Tools & Software

datapine

Companies need to collect, store, monitor, and analyze massive volumes of data in order to manage business performance and successfully deliver profitable results. No matter if your company is small or large, there is a great chance that you’ve been using SQL as the tool to-go when it comes to managing and extracting value from your database. There is still lots of relational database management included when it comes to online data analysis and different possibilities to perform the same.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago.

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The Importance of Augmented Human Intelligence in Machine Learning

Dataiku

How can the game of checkers be used to illustrate specific machine learning functions? What role does the human play in the process? Find out the answers in this blog post.

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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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Assessing and interviewing data engineers from a distance

Insight

When in-person technical interviews are no longer an option, hiring managers still have a wealth of online resources at their disposal. With a properly designed interview process, teams can effectively and efficiently assess whether an applicant has the right set of data engineering skills without having to physically be in the same room. Since 2014, Insight been successfully running a fully distributed and fully remote interviewing process that has helped us sift through thousands of applicatio

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I’m Sorry CXOs, but You’re Mostly Doing Analytics All Wrong

Teradata

There is no ROI in technology - specifically in data analytics, AI & Machine Learning - until we deploy in production and change the way we do business.

ROI 98

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DataRobot ML Ops 6.0 is Now GA and Packed with New Capabilities

DataRobot

Deploying models into production remains a critical challenge for organizations adopting AI. For many custom-built models, deployment requires extensive data science knowledge and coding expertise to promote those models from development to production. With varied languages and frameworks across AI teams and projects, deployment becomes even more challenging and specialized, depleting critical resources from data science and IT teams alike.

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How data and analytics can help businesses stay ahead in uncertain times

Data Insight

During these unprecedented times, it’s more important than ever for businesses to be data-driven. Analysis and data, can help businesses understand and respond to market changes, and predict and plan for how things may change in the future. So, in the face of uncertainty, how should businesses be looking to use data to stay ahead? We’ve outlined the four key data-driven phases that businesses should be considering.

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Power BI: Major Pros and Cons to Consider

ScienceSoft

Check whether the Power BI suite is the right solution for your business intelligence project by exploring ScienceSoft’s list of major Power BI advantages and disadvantages.

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I’m Sorry CXOs, but You’re Mostly Doing Analytics All Wrong

Teradata

There is no ROI in technology - specifically in data analytics, AI & Machine Learning - until we deploy in production and change the way we do business.

ROI 52
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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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Digital Transformation is About Building Resilient IT

Nutanix

Nutanix is redefining digital transformation. The key is in building a resilient IT environment - both on-prem and in the cloud. Learn how.

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Big Data Is Fundamentally Altering the Future of File Transfer Security

Smart Data Collective

Big data is changing the nature of file transfer technology. It is both creating new challenges and new opportunities. The good news is that big data is leading to new file sharing technology, which is making it easier to solve certain file transfer problems. On the other hand, it is increasing the bandwidth requirements companies face. Stewart Harper wrote a blog post about the problems companies face when they try to move big data to the cloud.

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Digital Transformation is About Building Resilient IT

Nutanix

Nutanix is redefining digital transformation. The key is in building a resilient IT environment - both on-prem and in the cloud. Learn how.

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How Finance is Leveraging Automated Data Lineage for Regulations Compliance

Octopai

The worldwide economy was shaken in 2007 when the United States stock market had its largest drop since the Great Depression. While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Let’s examine how these processes failed, what regulations were put in place as a result, and what this means for business intelligence teams today.

Finance 52
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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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Digital Transformation is About Building Resilient IT

Nutanix

Nutanix is redefining digital transformation. The key is in building a resilient IT environment - both on-prem and in the cloud. Learn how.

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Pivoting Your Career at Sisense to Achieve Customer Obsession

Sisense

Blog. In Faces of Sisense , we showcase some of the amazing change agents that are helping to achieve customer obsession right here at Sisense. Through these people, we describe what makes Sisense a special place to work and provide tips on how to pivot your career into technology. Like any company, Sisense is only as strong as our customer relationships, which is why we look for teammates with a genuine passion for helping customers.