KDnuggets

JANUARY 24, 2022

There are many great boosting Python libraries for data scientists to reap the benefits of. In this article, the author discusses LightGBM benefits and how they are specific to your data science job.

Data Science 159

Data Science Machine Learning 159

Analytics Vidhya

JANUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Deep Learning Artificial Intelligence, deep learning, machine learning?—?whatever you’re doing if you don’t understand it?—?learn it. Because otherwise you’re going to be a dinosaur within 3 years. -Mark Cuban This statement from Mark Cuban might sound drastic – but its message is […].

Deep Learning 296

Deep Learning Machine Learning Data Science Publishing 296

Data Virtualization

JANUARY 28, 2022

Reading Time: 3 minutes Most organizations are moving their IT systems to the cloud. In most cases, they are performing these migrations to increase the scalability of both processing and storage, and generally to free the organization from the limitations of on-premises systems. However, The post Use the Cloud More Creatively appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 59

Data Integration Management IT Data Architecture 59

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. Perhaps it is no surprise that the average tenure of a CDO or CAO is only about 2.5 years.

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Consulting Testing Data Lake Data Quality 244

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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?

Business Intelligence

KDnuggets

JANUARY 24, 2022

What does the data reveal if we ask: "What are the 10 Best Python Courses?". Collecting almost all of the courses from top platforms shows there are plenty to choose from, with over 3000 offerings. This article summarizes my analysis and presents the top three courses.

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Analytics Vidhya

JANUARY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Modern applications are popularly made using container orchestration systems and microservice architecture. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […].

Data Science 384

Data Science Publishing Analytics IT 384

Depict Data Studio

JANUARY 25, 2022

Are you working on a dashboard at your workplace? Maybe you’re making a brand-new dashboard? Maybe you’re revamping an existing dashboard to bring it up to speed? Maybe you don’t have a dashboard yet, and you’re wondering if you need one? In this article, you’ll see my 10 worst mistakes from past dashboards. I’ve made all these mistakes (and more…) over the past 15 years.

Dashboards 129

Dashboards Interactive Software Cost-Benefit 129

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability.

Slice and Dice 114

Slice and Dice Cost-Benefit Data Governance Risk 114

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hello there, learners. I hope everyone is doing well. This pandemic provides us with more opportunities to learn new topics through the work-from-home concept, allowing us to devote more time to doing so. This prompted me to consider some mundane but intriguing topics. […].

Machine Learning 322

Machine Learning Data Science Publishing Analytics 322

Smart Data Collective

JANUARY 27, 2022

Artificial intelligence is having a larger impact on our lives than you may think. Although only 38% of businesses use AI in some form , 90% of the most successful companies utilize some form of AI. You may be wondering how significant AI really is. To some, AI may seem like any other over-hyped buzzword that has never truly manifested in the day-to-day human life.

Machine Learning 117

Machine Learning Data-driven Technology Publishing 117

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

KDnuggets

JANUARY 25, 2022

Whether you’re working independently or setting up a stack for a company, you need an affordable stack option. Here’s how you can set up your stack without spending too much.

Data Science 124

Data Science 124

Teradata

JANUARY 25, 2022

The use of integrated data to restore customer confidence will be big in 2022. Building a customer insights foundation should be high on the to-do list for retail & CPG businesses this year.

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Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

Modeling 319

Modeling Machine Learning Metrics Testing 319

Smart Data Collective

JANUARY 25, 2022

Data security is becoming a greater concern for companies all over the world. The pandemic has contributed to these issues. A number of hackers started targeting companies for data breaches during the pandemic, partly because so many employees were working remotely. The frequency of data breaches is not likely to subside anytime soon. Many companies are making work-from-home models permanent, which means data threats are going to be as common as ever.

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Risk Software Measurement Recreation/Entertainment 115

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

KDnuggets

JANUARY 26, 2022

In order to achieve quality data, there is a process that needs to happen. That process is data cleaning. Learn more about the various stages of this process.

Data Science 129

Data Science 129

Domino Data Lab

JANUARY 24, 2022

We have previously talked about the challenges that the latest SOTA models present in terms of computational complexity. We've also talked about frameworks like Spark, Dask, and Ray , and how they help address this challenge using parallelization and GPU acceleration.

Modeling 98

Modeling Data Science 98

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Data Engineers and Data Scientists need data for their Day-to-Day job. Of course, It could be for Data Analytics, Data Prediction, Data Mining, Building Machine Learning Models Etc., All these are taken care of by the respective team members and […].

Data Science 299

Data Science Data mining Machine Learning Publishing 299

Smart Data Collective

JANUARY 27, 2022

Big data technology has become a very important aspect of our lives. More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. Unfortunately, some businesses have made poor decisions when instituting a data strategy. In a sense, despite its tremendous value, big data has become a bit of a bubble for many companies.

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Optimization IT Big Data Cost-Benefit 111

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

KDnuggets

JANUARY 27, 2022

This post is tentative to explain by "human factor" - a typical Python vs. R user, the widespread opinion that Python is better suited than R for developing production-quality code.

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Cloudera

JANUARY 26, 2022

According to 451 Research , 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges. . The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on

Data Processing 86

Data Processing IoT Data Warehouse Cost-Benefit 86

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Today, most organizations invest more than ever in their resources to finely leverage graph analytics to extract valuable insights from massive, complex volumes of data. For those who don’t know, Neo4j is one of the most popular graph databases that gives developers and data […].

Data Science 286

Data Science Publishing Analytics Visualization 286

Smart Data Collective

JANUARY 26, 2022

There are a lot of benefits of using artificial intelligence in 2022. One of the biggest reasons that many people use AI is to improve their marketing strategies. A recent survey found that 64% of marketers reported that data-driven marketing strategies are more important than ever. One of the biggest reasons big data is so useful is that it helps supplement AI technology.

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Data-driven Marketing Visualization Recreation/Entertainment 96

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Testing

KDnuggets

JANUARY 26, 2022

The High Paying Side Hustles for Data Scientists; Top Programming Languages and Their Uses; Artificial Intelligence Project Ideas for 2022; The Best Python Courses: An Analysis Summary; Top Stories, Jan 17-23: The High Paying Side Hustles for Data Scientists.

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CDW Research Hub

JANUARY 24, 2022

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Sirius’ Snowflake Immersion Days video series are virtual learning sessions designed to provide technical, hands-on training for data engineers and data analysts.

Structured Data 87

Structured Data Consulting Strategy Data Strategy 87

Analytics Vidhya

JANUARY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be going through two concepts MLOps and DevOps. We will first try to get through their basics and then we will explore the differences between them. As you might be aware in DevOps we try to bring together […]. The post MLOps vs DevOps: Let’s Understand the Differences?

Data Science 268

Data Science Publishing Analytics Machine Learning 268

Smart Data Collective

JANUARY 24, 2022

Big data is undoubtedly changing the future of modern business. One study from KPMG found that 70% of businesses feel their big data initiatives are going to be invaluable to the future of their business model. How they choose to leverage their data is going to be vital to their future success. Smart Businesses Search for New Ways to Leverage Big Data.

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Big Data ROI Marketing Software 89

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Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

IT

KDnuggets

JANUARY 25, 2022

In this article, see how you can get above 90% accuracy on the validation set with a pretty straightforward approach. You'll also see what happens to the validation accuracy if we scale down the amount of training data by a factor of 20. Spoiler alert - it will remain unchanged.

IT 102

IT 102

CDW Research Hub

JANUARY 28, 2022

Understanding storage performance is a significant factor in determining the efficiency and longevity of an organization’s infrastructure. In today’s data-driven world, your storage architecture must be able to store, protect and manage all sources and types of data while scaling to manage the exponential growth of data created by IoT, videos, photos, files, and apps.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

Analytics Vidhya

JANUARY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction Feedforward Neural Networks, also known as Deep feedforward Networks or Multi-layer Perceptrons, are the focus of this article. For example, Convolutional and Recurrent Neural Networks (which are used extensively in computer vision applications) are based on these networks.

IT 277

IT Data Science Publishing Analytics 277

Smart Data Collective

JANUARY 24, 2022

Are you trying to grow or launch a cloud technology startup? You won’t be able to do so without a significant amount of capital. Recent news reports on Infracost can give you some insights on the cost of launching a cloud startup. This company raised over $2.2 million in funding to grow its operations. Of course, they had to spend a lot more money to start their business in the first place.

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Cost-Benefit Finance Insurance Technology 88

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling