Tue.May 28, 2019

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Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule

Analytics Vidhya

Introduction I love reading and decoding machine learning research papers. There is so much incredible information to parse through – a goldmine for us. The post Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule appeared first on Analytics Vidhya.

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IBM Planning Analytics receives top ranks in world’s largest planning survey

IBM Big Data Hub

Before making any major purchase decision, most of us read reviews to learn about the experiences of other users and get an understanding of a product from the perspective of the marketplace. This is especially important for when evaluating options for a major investment like planning software.

Analytics 101
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My Experience Taking Microsoft DP-100: Designing and Implementing a Data Science Solution on Azure

Data Science 101

I took and passed DP-100 during the beta period. I recorded a live video talking about my experience. Below is that section of the live video. Also, here are the main topics: Azure ML Studio Machine Learning Python High-level knowledge of Azure Products. Also, if you want a checklist to prepare for the exam, I have created one, it is free.

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Big Data Insights Drive Surge In Digital Marketing ROI

Smart Data Collective

Big data is giving savvy brands a significant edge in the market. They are able to use analytics and other data insights to bolster customer service, reduce marginal operating costs and scale production. One of the biggest benefits of big data is in the arena of digital marketing. Dataconomy wrote a post about the value of big data in digital marketing.

ROI 86
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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 to Drive Marketing Personalization in an Increasingly Non-Personal World

Teradata

Tom Casey discusses marketing personalization and why it's important to the modern customer experience.

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Leveraging The Cost-Cutting Benefits Of Cloud Accounting

Smart Data Collective

CPA Practice Advisor wrote a fascinating article on the applicability of big data in the accounting field. The article showed that the increasing supply of data is making it easier for companies to handle many core accounting functions. Big data is playing an important role in everything from auditing to custom service. There are a lot of benefits of using big data to simplify the accounting process.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to May 26)

Andrew White

Click here for an interactive PDF to connect to the research directly. This list excludes our branded research such as Magic Quadrants etc.

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Cloudera Data Science Workbench: where innovation meets security, compliance and scale on the road to industrialized AI

Cloudera

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments. But rather as businesses look to operationalize machine learning capabilities at scale, they’ll turn increasingly to commercial platforms, with connectors to open so

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Top 5 Tips For Conducting Successful BI Projects With Examples & Templates

datapine

BI projects aren’t just for the big fishes in the sea anymore; the technology has developed rapidly, the software has become more accessible while business intelligence and analytics projects implemented in various industries regularly, no matter the shape and size, small businesses or large enterprises. With the help of online data analysis tools , these kinds of projects have become easy to manage and agile in performance.

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5 Problems Hyperconverged Infrastructure Solves

Nutanix

We’ve taken the guesswork out for you and compiled 5 of the top pain-points you can bid farewell to should you take the leap to HCI.

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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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How Real-Time Analytics Can Help Assess ROI Of Toll-Free Call Support

Smart Data Collective

The telecom industry is undergoing some major changes, due to advances in big data. Companies that rely heavily on telephone services should recognize this trend and use big data to get the most value from their services. One way that big data can be especially helpful is by monitoring the ROI of toll-free services. Real-time analytics sheds some insights into this, which helps businesses decide whether it is worth the investment.

ROI 74
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Acquisitions on the Horizon in BI and Data Analytics Industry?

Sisense

Every decade, like clockwork, the Business Intelligence (BI) industry welcomes the next generation of BI platform providers. Two decades ago, it was Cognos and MicroStrategy. Then Tableau and QlikTech stepped up to carry the torch. And with each passing of the torch, new leaders emerge with the power to disrupt the market. 2019 can best be described as an era of modern cloud data analytics.

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Database vs. Data Warehouse: What’s the Difference?

Jet Global

In the business landscape of 2019, data is the only currency that matters. The success of any business into the next year and beyond will depend entirely on the volume, accuracy, and reportability of the data they collect—and how well the business can analyze, extract insight from, and take action on that data. But the foundational step in getting the data to drive your business forward is first ensuring it can be collected and identified in a way that makes it simple to find and report on with