CIO Business Intelligence
MARCH 10, 2022
IT gets lifecycle management wrong a lot. Search for a definition of lifecycle management and you’ll find something along the lines of: A strategic approach to managing the life cycle of an application or platform from conception to end of life — from provisioning, through operations, to retirement. Under this definition lifecycle management doesn’t seem to do anything.
Analytics Vidhya
MARCH 10, 2022
Introduction The gushing VC funds, the blessing of unicorns, the pool of enterprising tech talent have left start-ups with no option but to move faster. In a fast-paced company, decisions have to be faster and more decentralized. The large meetings that have to find an intersection across many busy calendars can slow down decisions in […]. The post The Power of Decisioning Async appeared first on Analytics Vidhya.
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KDnuggets
MARCH 10, 2022
Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.
Analytics Vidhya
MARCH 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction A data source can be the original site where data is created or where physical information is first digitized. Still, even the most polished data can be used as a source if it is accessed and used by another process. A data source […]. The post An Overview of Data Collection: Data Sources and Data Mining appeared first on Analytics Vidhya.
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CIO Business Intelligence
MARCH 10, 2022
Much has been made of the perilous future CIOs whose organizations rely on mainframes may soon have to navigate, but the reality of mainframe infrastructure’s long-term outlook is a little more nuanced than that, as two recent news announcements attest. Fujitsu recently divulged it will end sales of its mainframes by April 2031, discontinuing support five years after that.
Analytics Vidhya
MARCH 10, 2022
This article was published as a part of the Data Science Blogathon. Apple’s Siri and Google’s voice search both use Recurrent Neural Networks (RNNs), which are the state-of-the-art method for sequential data. It’s the first algorithm with an internal memory that remembers its input, making it perfect for problems involving sequential data in machine learning.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
MARCH 10, 2022
This article was published as a part of the Data Science Blogathon. Photo by Ivan Bandura on Unsplash Introduction on Measurements Accuracy You’ve undoubtedly heard about gold diggers as well. In the majority of these cases, individuals discover enormous wealth with the aid of gold diggers and become overnight millionaires. Your friend has a gold detector. […].
Cloudera
MARCH 10, 2022
As an official sponsor of International Women’s Da y, Cloudera is excited to celebrate Women’s History Month and International Women’s Day, and to take up the mantle of this year’s theme #BreakTheBias. . Even in industries where women are underrepresented, like tech, women have made a lot of progress. Progress over many decades has slowly transformed the workplace into an environment where women’s strengths are recognized and valued.
Analytics Vidhya
MARCH 10, 2022
This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Working with Dataset Define X and Y Perform OneHotEncoding Change columns using Column Transformer Split the dataset into train set and test set Train the model Predict the test Results Evaluate the model Plot the Results Predicted Values Introduction In […].
Smart Data Collective
MARCH 10, 2022
Big data has become a core aspect of modern web marketing. Companies need to use data to optimize their websites and get the most value out of their digital marketing strategies. Over 1.1 trillion megabytes of data are created every day. The majority of this data is generated over the Internet. This gives companies a huge opportunity to bolster their online marketing strategies by leveraging big data to the best of their abilities.
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.
Analytics Vidhya
MARCH 10, 2022
This article was published as a part of the Data Science Blogathon. Today’s world is driven by data. Data has the potential to unlock the success of every industry, from releasing ideas to enhancing decision-making processes. Data has profoundly changed the world as we know it, to the point that it’s impossible to function without the […].
KDnuggets
MARCH 10, 2022
This article is an excerpt from the book Machine Learning with PyTorch and Scikit-learn is the new book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.
Smart Data Collective
MARCH 10, 2022
Data analytics is giving us more insights into many of the most pressing challenges that we have faced as a society. More policymakers are using data to make more informed decisions. Analytics Insight shared a list of 10 major ways that big data is changing politics. The biggest benefits relate to using big data to understand voters and create models of voting patterns in various districts.
CIO Business Intelligence
MARCH 10, 2022
By Niall Browne, CISO. The traditional security operations center (SOC) is based on a model that has persisted for decades, yet it’s no longer effective. Too much has shifted in organizations and in the threat landscape for the “old ways” to work. Now is the time for a change to enable a modern SOC—taking on SOC consolidation to achieve better outcomes, with faster remediation , reduced risk and an overall stronger security posture.
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.
KDnuggets
MARCH 10, 2022
Read some tips on getting organized when it comes to working with data.
Dataiku
MARCH 10, 2022
In this article, which is a continuation of my three-part ( 1 , 2 ) series on the topic, we will complete our journey to creating our data mesh, lifting those Dataiku-created data product services that we created earlier for exposing feature data and inference engines into a space where we can reliably discover those services, interact with, and choreograph them.
Data Virtualization
MARCH 10, 2022
Reading Time: 4 minutes LDTI is the most significant change in decades to the existing accounting requirements under US Generally Accepted Accounting Principles (USGAAP) for long duration contracts that are non-cancellable or guaranteed renewable contracts such as life insurance, disability income, long-term care, and. The post Achieving LDTI Compliance using Data Virtualization appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Inform
DataRobot Blog
MARCH 10, 2022
DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). As a result of these technological advancements, the manufacturing industry has set its sights on artificial intelligence and automation to enhance services th
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
CIO Business Intelligence
MARCH 10, 2022
Où les données voyagent-elles sur internet ? Voilà une question que devrait se poser toute entreprise soucieuse de savoir dans quel pays pourraient aboutir des informations privées. Où transitent et sont stockées les informations est un problème lié au concept de souveraineté des données — qui suppose que ces dernières soient régies par les lois du pays où elles se trouvent.
Nutanix
MARCH 10, 2022
Nutanix stands in support of Ukraine. Here are the actions we are taking as a company to help Ukraine and its people.
CIO Business Intelligence
MARCH 10, 2022
When Dr. Curtis Carver, Ph.D., took over as CIO at University of Alabama-Birmingham in 2015, he confronted a “computer science museum,” as he calls it — instances of every operating system, storage device, and application on the market for the past 30 years. Carver’s first priority then was to clean up the outdated mess and rationalize the entire technology infrastructure onto a single, comprehensive platform that would empower the university’s thousands of scientists to innovate and make breakt
CIO Business Intelligence
MARCH 10, 2022
Now that many organizations are welcoming some employees back to the office, “hybrid work” is officially upon us. But companies are still feeling their way around this dynamic landscape, and figuring out just how technology and people skills can work together to safely maintain productivity and employee well-being. According to a group of IDG/Foundry tech influencers, hybrid work has entered a new stage — the true hybrid era.
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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