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

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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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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10 Visualizations of Juicebox

Juice Analytics

Christmas is a special time of year. We all have our favorite aspects of the season. In the spirit of Christmas and the Christmas carol, the 12 days of Christmas, here are the Juice team’s 10 favorite visualizations. You will recognize some of these as your own favorites, but some are exclusive to the Juicebox platform. To learn more about the visualizations exclusive to Juicebox and Juice design schedule some time with us.

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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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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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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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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.

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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 41
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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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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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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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