Analytics Vidhya

MAY 12, 2019

Introduction Data scientists spend close to 70% (if not more) of their time cleaning, massaging and preparing data. That’s no secret – multiple surveys. The post A Beginner’s Guide to Tidyverse – The Most Powerful Collection of R Packages for Data Science appeared first on Analytics Vidhya.

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Dataconomy

MAY 16, 2019

Although there are lots of similarities across Software Development and Data Science , they also have three main differences: processes, tooling and behavior. Find out. In my previous article, I talked about model governance and holistic model management. I received great response, along with some questions about the differences between. The post What is the real difference between Data Science and Software Engineering Teams?

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Data Science Data Scientist Analytics Analytics 188

DataRobot

MAY 15, 2019

Art is subjective and everyone has their own opinion about it. When I saw the expressionist painting Blue Poles , by Jackson Pollock, I was reminded of the famous quote by Rudyard Kipling, “It’s clever, but is it Art?” Pollock’s piece looks like paint messily spilled onto a drop sheet protecting the floor. The debate of what constitutes art has a long history that will probably never be settled, there is no definitive definition of art.

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Smart Data Collective

MAY 15, 2019

Big data has created both positive and negative impacts on digital technology. On the one hand, big data technology has made it easier for companies to serve their customers. On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology. Big data has created a number of security risks for Bluetooth users.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Analytics Vidhya

MAY 14, 2019

Introduction We have worked on plenty of drag-and-drop tools in our business intelligence (BI) journey. But none has come close to matching the Swiss. The post 10 Useful Data Analysis Expressions (DAX) Functions for Power BI Beginners appeared first on Analytics Vidhya.

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Dataconomy

MAY 11, 2019

I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the. The post Not Accounting for Bias in AI Is Reckless appeared first on Dataconomy.

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AI AI Analytics Analytics 125

Smart Data Collective

MAY 15, 2019

Big data has opened a number of doors for marketers. One of the most overlooked benefits of big data is that it allows marketers to translate documents from one language to another. Memsource shows that big data is revolutionizing translation solutions , primarily due to the advent of more sophisticated cloud language platforms and machine learning capabilities.

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Analytics Vidhya

MAY 15, 2019

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, The post Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R) appeared first on Analytics Vidhya.

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Data Science Analytics Analytics Hypothesis Testing 274

DataCentric podcast

MAY 14, 2019

Lenovo's data center group, under the leadership of Kirk Skaugen, is on fire, outgrowing the market. The company is exhibiting stellar growth in server, top-tier peformanance in HPC, disrupting the capacity-on-demand market, innovating in client, and is targeting edge computing. Join hosts Matt and Steve as they recap Lenovo Accelerate, the company's premier event for its enterprise customers, today talking about what they learned at the kick-off, and what they hope to learn over their n

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DataRobot

MAY 17, 2019

Information is the lifeblood of many organizations, and keeping it secure has become a critical concern for IT departments across the world. This is especially true as organizations continue to move critical business functions – including data hosting, CRM systems, and other SaaS applications – into the cloud.

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AI AI 40

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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.

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Smart Data Collective

MAY 14, 2019

In the early days of software development , projects were developed sequentially in a series of steps which was called “The Waterfall Model.” It was called the waterfall because once you got past a step, you couldn’t climb back up. Here is a typical waterfall model for software development : Requirements. Design. Implementation. Verification. Maintenance.

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Smart Data Collective

MAY 11, 2019

. Artificial intelligence is redefining the nature of customer service. According to one analysis by Maruri Tech Labs, 85% of all customer service communications will be handled by an AI system by the end of next year. This is even true in call centers, which are surprisingly being disrupted by AI technology. Although artificial intelligence is going to be extremely important in the future of customer service, it is still too early to determine the degree to which it will be utilized.

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Smart Data Collective

MAY 15, 2019

Big data is having a profound effect on the privacy debate. The problem is that people only look at it from one perspective. They see big data as a looming threat to their privacy. This is an issue that Tech Republic brought to our attention a couple of years ago in their post Big data privacy is a bigger issue than you think. The post showed that big data is raising a number of concerns about privacy rights.

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DataCentric podcast

MAY 14, 2019

We're podcasting live from Lenovo Accelerate in Orlando, and there are special guests! Shekhar Mishra, Director of Product Marketing for Software Defined Datacenter at Lenovo, and Patrick Moorhead, founder and principal analyst at Moor Insights & Strategy join hosts Matt Kimball and Steve McDowell in an interesting and informative discussion of the impact of software-defined infrastructure, HCI, and cloud on enterprise IT.

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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.