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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.
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.
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.
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
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
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?
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.
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.
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.
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.
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.
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
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.
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.
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.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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.
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?
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.
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.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
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.
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?
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.
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.
ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
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
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.
NEXT Magazine is your source for practical advice, bold ideas, and occasionally controversial opinions from some of the IT industry’s leading change agents.
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.
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.
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