Sat.Dec 15, 2018 - Fri.Dec 21, 2018

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Trends in data, machine learning, and AI

O'Reilly on Data

The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape. For the end-of-year holiday episode of the Data Show , I turned the tables on Data Show host Ben Lorica to talk about trends in big data, machine learning, and AI, and what to look for in 2019. Lorica also showcased some highlights from our upcoming Strata Data and Artificial Intelligence conferences.

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Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters. An example of a cold start problem is k -Means Clustering, where the number of clusters k in the data set is not known in advance, and the locations of those clusters in feature space ( i.e., the cluster means) are not known either.

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IRM Is Essential for Digital Transformation Success

John Wheeler

Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks. The Q4 2018 Emerging Risks Survey, designed by Gartner, captures and analyzes senior executives’ opinions on emerging risks and provides actionable insight on identifying and mitigating these risks.

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How AI is Lowering the Barrier to Entry for BI and Analytics

Birst BI

According to Gartner, more than 3,000 CIOs ranked Business Intelligence (BI) and Analytics as the top differentiating technology for their organizations. If BI and Analytics is such a game-changer, then why is the average adoption rate in organizations only 32%? Despite the efforts of Cloud BI vendors making it easier for users to acquire, explore, and analyze data sources without IT dependency, lack of data literacy and analytic skills still hinder widespread adoption for data-driven decision m

KPI 89
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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What Kagglers are using for Text Classification

MLWhiz

With the problem of Image Classification is more or less solved by Deep learning, Text Classification is the next new developing theme in deep learning. For those who don’t know, Text classification is a common task in natural language processing, which transforms a sequence of text of indefinite length into a category of text. How could you use that?

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Data Scientist’s Dilemma – The Cold Start Problem

Rocket-Powered Data Science

The ancient philosopher Confucius has been credited with saying “study your past to know your future.” This wisdom applies not only to life but to machine learning also. Specifically, the availability and application of labeled data (things past) for the labeling of previously unseen data (things future) is fundamental to supervised machine learning.

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Cloud Nine: All Your Analytics, Wherever You Want Them. Really!

Teradata

Brian Wood explains how Teradata Vantage in the cloud has your back when it comes to analytic simplicity, control, effectiveness, and results.

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data.

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SSIS Catalog Execution Parameter Values

Tim Mitchell

When doing any new development or major overhaul of existing SSIS architecture, I almost always recommend to clients that they deploy those packages to the SSIS catalog. Using the catalog to store and execute SSIS packages takes a lot of the manual work out of development and maintenance, particularly when it comes to package logging. When you execute a package.

IT 49
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Social Media Rage (Cartoon)

Timo Elliott

Am I the only one who does this? Algorithmically, social media is designed to be rage-inducing — deliberately, cynically — in order to get more clicks and show you more ads. And it’s ripping apart society.

IT 45
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Custom Modules for #AzureML

Jen Stirrup

Have you seen the custom modules for AzureML yet? One neat custom module that I’ve been using is the Create Scatterplot module, which uses ggplot2 and R in order to create a scatterplot. It’s possible to do this in AzureML already but it takes a few extra steps, and it is good to be able to reduce clicks in doing activities where possible.

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IoT: Make Mine a Standard

Cloudera

Standards and open source are closely linked. Open source allows you to stay on the cutting edge, to have the latest and most innovative technologies at your disposal at all times. No one company is going to outpace the rate at which an open source community produces innovative new software. In spirit and by definition, open source excludes all things proprietary.

IoT 42
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Personal Touch: An Argument Against Automation

Tim Mitchell

At the far end of an out-of-the-way aging strip shopping center in southern Louisiana, there stands a small and modest sushi restaurant. The exterior could be described as tasteful minimalistic: there are no big signs, no flashy advertising, and the word “fancy” would never be used to describe it. Inside, it is a small space, seemingly purposeful in its meager.

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BI reporting, advanced analytics and the discipline of business optimization

3AG Systems

Chances are you already know that data is important for business – really important. You’ve likely been barraged by a seemingly endless stream of data terms: BI technologies, big data techniques, advanced analytics, machine learning and AI. And despite the hype, you’re probably wondering what the fuss is all about. After all, don’t companies already make decisions based on data?

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Navigating the Future: Generative AI, Application Analytics, and Data

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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Top 7 Data Governance Blog Posts of 2018

erwin

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Historically most organizations have approached data governance in isolation and from the former category.

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Business Users and Data Scientists Get Predictive Analytics!

Smarten

Biz Users Get Plug n’ Play Analytics, Data Scientists Get R Integration! When someone says ‘plug n’ play’, a lot of people think of the idea of plugging in an electrical appliance and having it run instantly. I think plug n’ play analysis should be that simple as well! My business users don’t have the skill, the patience or the time to become data scientists.

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SSIS Catalog Automatic Log Cleanup

Tim Mitchell

Built into the SSIS catalog is a mechanism that can automatically purge log data after a set period of time. In this post, I’ll show you how to set up and manage that functionality. SSIS catalog automatic log cleanup The SQL Server Integration Services catalog database – SSISDB – has several dozen logging tables that are used to capture details. The post SSIS Catalog Automatic Log Cleanup appeared first on Tim Mitchell.

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Lack of know-how is the greatest challenge to implementing Hadoop

BI-Survey

A lack of professional (54 percent) and technical (50 percent) know-how top the list of challenges to Hadoop implementations in BARC’s ‘Hadoop and Data Lakes’ survey. A regional comparison offers further insights. A lack of know-how to use new findings from data research (50 percent) was more frequently viewed as a challenge in Europe.

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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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Ensuring Actionable Answers from Analytic Models

Teradata

Monica Woolmer provides insight into determining the right analytic models to provide practical, actionable answers for business.

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Test Your Datacenter Knowledge!

Nutanix

So, you work in a datacenter. Maybe you spend a lot of time there. You might know your datacenter pretty well, but how well do you know what’s happening in other datacenters around the world?

Testing 20
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Processing Multiple Files in SSIS with the Foreach Loop

Tim Mitchell

Yesterday I wrote about the little-known but still useful multiple flat file connection manager. In this post, I will briefly show a more commonly used alternative approach for processing multiple data files: the foreach loop container. The SSIS foreach loop container The foreach loop container is used to iterate through a discrete list of items at runtime.

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Top BOB Blog Posts of 2018: Data Science, Machine Learning and the Net Promoter Score

Business Over Broadway

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, artificial intelligence and machine learning tools and methods that are commonly used and even a post on the problems with the Net Promoter Score claims.

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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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Deep automation in machine learning

O'Reilly on Data

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure. Since that time, Andrej Karpathy has made some more predictions about the fate of software development: he envisions a Software 2.0 , in which the nature of software development h

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What does the future hold? Trends for 2019 and Beyond

Nutanix

The close of the year is a time for reflection. It’s also a time to look forward to the promise of the what’s to come. In that spirit, we thought it would be interesting to share a few ideas we believe will be important in 2019 and beyond.

IT 20
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Using the SSIS Multiple Flat Files Connection Manager

Tim Mitchell

When building an ETL pipeline to import data from a text file, it’s very common to have the incoming data spread across multiple files. For example, if you are ingesting files generated on a periodic basis (per day, per hour, etc.), you could have dozens or hundreds of files with identical structure. This is an ideal setup for building a. The post Using the SSIS Multiple Flat Files Connection Manager appeared first on Tim Mitchell.

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Insights from NEXT Magazine Issue 4

Nutanix

NEXT Magazine is your source for practical advice, bold ideas, and occasionally controversial opinions from some of the IT industry’s leading change agents.

IT 20
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Save the Date: National Retail Federation Conference, Jan 13-15, 2019

Nutanix

Nutanix is excited to be sponsoring the 2019 National Retail Federation (NRF) Conference this coming January 13-15 in New York!

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Nutanix CEO Letter to Stockholders

Nutanix

This September, we completed two years as a public company and nine years since we were founded in 2009.

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