O'Reilly on Data
DECEMBER 20, 2018
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.
Rocket-Powered Data Science
DECEMBER 16, 2018
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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David Menninger's Analyst Perspectives
DECEMBER 3, 2018
IBM's Analytics University (held in both Miami and Stockholm) brought about some large changes. Big announcements this year included a consolidation of IBM's Watson Analytics into Cognos 11.1, helping provide some clarity to their analytics offerings, along with new visualizations and better data preparation. This also includes a new conversational assistant to help generate narrative explanations of displays and interactive queries.
CIO Business Intelligence
DECEMBER 4, 2018
With more and more data at our fingertips, it’s getting harder to focus on the information relevant to our problems and present it in an actionable way. That’s what business intelligence is all about.
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ScienceSoft
DECEMBER 13, 2018
Setting up data quality management seems to be a blurry task? We show what a well-organized process looks like and enumerate the required tools. These best practices will help you improve the quality of your data and, ultimately, your decisions.
Data Science and Beyond
DECEMBER 23, 2018
I’ve been interested in the area of causal inference in the past few years. In my opinion it’s more exciting and relevant to everyday life than more hyped data science areas like deep learning. However, I’ve found it hard to apply what I’ve learned about causal inference to my work. Now, I believe I’ve finally found a book with practical techniques that I can use on real problems: Causal Inference by Miguel Hernán and Jamie Robins.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Rocket-Powered Data Science
DECEMBER 15, 2018
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.
John Wheeler
DECEMBER 18, 2018
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.
Birst BI
DECEMBER 18, 2018
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
MLWhiz
DECEMBER 16, 2018
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?
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
IBM Big Data Hub
DECEMBER 31, 2018
Martec's law states, “Technology changes exponentially; organizations change logarithmically.” Translation? Technology will accelerate faster than companies can adapt to increasing data growth and adopt new business models.
Bruno Aziza
DECEMBER 29, 2018
What good will your 2019 resolutions be if you don’t know what’s coming at you next year no matter what? People in my line of work are fascinated by predictions.but as Yogi Berra once said: “Prediction is very hard, particularly when it’s about the future.”.
Insight
DECEMBER 13, 2018
Five ways to support employees and strengthen your business Insight exists to provide collaborative learning spaces where Fellows do impactful work leading to thriving careers. Fellows come to Insight to learn from one another, so we must ensure that each cohort isn’t just technically skilled but also diverse, with opportunities to learn alongside people with different backgrounds and experiences.
Decision Management Solutions
DECEMBER 5, 2018
“While most companies understand the importance of analytics and have adopted common best practices, fewer than 20 percent, according to a recent McKinsey Analytics survey , have maximized the potential and achieved [Advanced Analytics] at scale.”. The same survey data is used in a great piece of McKinsey analysis – Breaking away: The secrets to scaling analytics.
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Teradata
DECEMBER 17, 2018
Brian Wood explains how Teradata Vantage in the cloud has your back when it comes to analytic simplicity, control, effectiveness, and results.
MLWhiz
DECEMBER 6, 2018
Graphs provide us with a very useful data structure. They can help us to find structure within our data. With the advent of Machine learning and big data we need to get as much information as possible about our data. Learning a little bit of graph theory can certainly help us with that. Here is a Graph Analytics for Big Data course on Coursera by UCSanDiego which I highly recommend to learn the basics of graph theory.
IBM Big Data Hub
DECEMBER 12, 2018
At QueBIT, our goal is to help organizations of all sizes unlock the full potential of their data, and make analytics accessible for small- and medium-sized businesses.
Juice Analytics
DECEMBER 7, 2018
The following scene is one of the most pivotal moments in the Game of Thrones series. As a loyal viewer , this scene represents a turning point for Tyrion. He has reached a breaking point after a lifetime of conflict with his father. His speech is the moment that he sets out on a different path, a path that ultimately leads to (spoiler) the murder his father and (unsurprisingly) a deep schism with his family.
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Bruno Aziza
DECEMBER 23, 2018
2018. What an incredible year. I’m no financial expert. But as a market observer, I have noted a fair amount of #fails this year. Here are at least 3 that I thought would be worth recapping. I’m sure I’ve missed a few. Feel free to tweet me at @brunoaziza for comments and suggestions.
Timo Elliott
DECEMBER 16, 2018
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.
Cloudera
DECEMBER 19, 2018
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.
Tim Mitchell
DECEMBER 30, 2018
Earlier this week, I blogged about the automatic cleanup process that purges old data from the SSIS catalog logging tables. This nightly process removes data for operations that are older than 365 days. While this is useful, many SSIS admins have complained that this process is very slow and contentious on large or busy SSISDB databases. In this post, I’ll.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
IBM Big Data Hub
DECEMBER 5, 2018
Most businesses, independent of their business model, are concerned with compliance and profit. The business must comply with the law, regulations and conduct guidelines, and to be sustainable, the business must remain profitable.
Juice Analytics
DECEMBER 17, 2018
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.
Bruno Aziza
DECEMBER 26, 2018
Businesses need to move rapidly to adopt agile data processes so they can move quicker and be more responsive to customers.
Teradata
DECEMBER 20, 2018
Monica Woolmer provides insight into determining the right analytic models to provide practical, actionable answers for business.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Jen Stirrup
DECEMBER 19, 2018
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.
Tim Mitchell
DECEMBER 17, 2018
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.
IBM Big Data Hub
DECEMBER 6, 2018
Domestic & General uses an IBM-based customer data mart for a comprehensive view of each of its clients, which enables better customer experiences.
The Data Visualisation Catalogue
DECEMBER 23, 2018
One of the methods I used during my investigatation into the impact of Virtual Reality (VR) technology on data visualization and infographic design was to simply search online what other people have been saying. For a few years now, there have been a number of articles prophesying the coming of VR to the field of data visualization and the big data industry.
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