Sat.Nov 27, 2021 - Fri.Dec 03, 2021

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How to Implement Data Engineering in Practice?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image Source: GitHub Table of Contents What is Data Engineering? Components of Data Engineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is Data Engineering? Initially, we have the definition of Software […].

Data Lake 391
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Eight Top DataOps Trends for 2022

DataKitchen

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole.

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TIBCO Broadens Portfolio for Improved Analytics Efficiency

David Menninger's Analyst Perspectives

TIBCO is a large, independent cloud-computing and data analytics software company that offers integration, analytics, business intelligence and events processing software. It enables organizations to analyze streaming data in real time and provides the capability to automate analytics processes. It offers more than 200 connectors, more than 200 enterprise cloud computing and application adapters, and more than 30 non-relational structured query language databases, relational database management

Analytics 179
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How to Get Certified as a Data Scientist

KDnuggets

If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges.

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State of AI in Sales & Marketing 2025

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.

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Building an End- to-End Data Science App with Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.

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Anima Anandkumar: What’s in the Future for AI?

DataRobot

Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research.

More Trending

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2021: A Year Full of Amazing AI papers — A Review

KDnuggets

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.

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How do Neural Networks really work?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].

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Create your Private Data Warehousing Environment Using Azure Kubernetes Service

Cloudera

For Cloudera ensuring data security is critical because we have large customers in highly regulated industries like financial services and healthcare, where security is paramount. Also, for other industries like retail, telecom or public sector that deal with large amounts of customer data and operate multi-tenant environments, sometimes with end users who are outside of their company, securing all the data may be a very time intensive process.

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Machine Learning Interview Questions to Land the Perfect Data Science Job

Smart Data Collective

Are you looking to get a job in big data? That could be a wise career move. The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. The median annual wage is $118,370. However, it is not easy to get a career in big data. You need to know a lot about machine learning to land a job. You will need to make sure that you can answer machine learning interview questions before you can get a job offer.

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How to Achieve High-Accuracy Results When Using LLMs

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

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Why Machine Learning Engineers are Replacing Data Scientists

KDnuggets

The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.

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Creating ChatBot Using Natural Language Processing in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.

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3 Career Options for Data Scientists Who Want to Maintain Their Skills

Dataiku

What happens after you get the so-called sexiest job of the 21st century ? Data scientist positions are very different from one organization to another but, regardless, you can ensure a varied and exciting career in this role. But there is more to it than stepping into a team lead or expert role. Data science skills are easily reusable and data scientists who leave their specific role aren’t necessarily leaving the data science and AI field.

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From Raw Data to Visualization: Marvel Social Graph Analysis

Smart Data Collective

Last year, we talked about the growing importance of big data in the entertainment industry. Marvel is one of the many companies using big data to optimize its business model. As we all know, Marvel is one of the most influential comic books in the world created by Stan Lee. Only a mind like his could create an out-of-this-world creation that would last forever.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

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.

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Sentiment Analysis with KNIME

KDnuggets

Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.

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An End-to-End Guide to Model Explainability

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we will learn about model explainability and the different ways to interpret a machine learning model. What is Model Explainability? Model explainability refers to the concept of being able to understand the machine learning model. For example – If a healthcare […].

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How Does One Acre Fund Use Dataiku to Increase Its Operational Efficiency in East Africa?

Dataiku

In this article, you will see how One Acre Fund , an agriculture non-profit based in East Africa, leverages Dataiku’s end-to-end data science capabilities to increase its operational efficiency by identifying farmers at risk of defaulting on their seasonal loans.

IT 105
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Can Data Analytics Help with Choosing Reliable Event Organizers?

Smart Data Collective

Data analytics has become a very important element of success for modern businesses. Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models. However, there are some other benefits of using data analytics that don’t get quite as much attention.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

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.

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Movie Recommendations with Spark Collaborative Filtering

KDnuggets

Not sure what movie to watch? Ask your recommender system.

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How a Math equation is used in building a Linear Regression model?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Table of Contents Overview What is Regression? Independent Variables Dependent Variables Linear Regression The Equation of a Linear Regression Types of Linear Regression Simple Linear Regression Multiple Linear Regression How is a simple linear equation used in the ML Linear Regression algorithm?

Modeling 394
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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. We need to get to the root of the problem. In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI.

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How Do Banks and Other Financial Institutions Benefit from AI

Smart Data Collective

AI is revolutionizing the banking and financial sector. Read this article to get to know why banks need to introduce AI-based solutions in their workflows—the faster the better. Banking is one of those industries that can earn or save billions of dollars thanks to AI. Institutions that introduce AI-powered solutions earlier than their rivals gain a significant competitive edge.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

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!

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5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022

KDnuggets

This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.

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A Complete Beginner-Friendly Guide to SQL for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. SQL stands for Structured Query Language which is used to deal with Relational Databases to query from and manipulate databases. In the field of Data Science most of the time you are supposed to fetch the data from any RDBMS and run some […]. The post A Complete Beginner-Friendly Guide to SQL for Data Science appeared first on Analytics Vidhya.

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Reference Data: Smoothing Out the Bumps in M&A

Teradata

M&A is an important part of an organization's growth strategy. Getting reference data right can be foundational to overcoming many challenges that come with it.

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Data Management: Best Data Recovery Tools for Windows 11

Smart Data Collective

Many disasters can create a lot of problems for businesses. One of the biggest concerns is that they can lead to data loss. If you are worried about a disaster impacting your business, then you have to be ready to restore your data as quickly as possible. This requires you to have the right disaster recovery tools on hand. You can hardly find a computer user who has never faced the issue of data loss.

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Optimizing The Modern Developer Experience with Coder

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.

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What Percentage of Your Machine Learning Models Have Been Deployed?

KDnuggets

Take a moment to participate in the latest KDnuggets poll and let the community know what percentage of your machine learning models have been deployed.

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Artificial Neural Network and Its Implementation From Scratch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Artificial Neural Network Artificial neural network(ANN) or Neural Network(NN) are powerful Machine Learning techniques that are very good at information processing, detecting new patterns, and approximating complex processes. Artificial Neural networks ability is exemplary in tackling large and highly complex Machine […].

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Accessibility Quick Wins: Remove Legends and Directly Label

Depict Data Studio

How do we make our graphs more accessible? There’s a misconception that accessibility takes all day, that’s it’s costly, or that it’s complicated. Those are all false. Accessibility is woven into all my trainings, but since this is a topic I get asked about a lot, I decided to make a new talk that’s focused just on accessibility for dataviz.

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Benefits of SMS for Data-Driven Marketing Strategies

Smart Data Collective

Big data is a gamechanger for the marketing sector. We have talked about the benefits of using big data in online marketing. However, there are other reasons to use big data to make the most of your marketing strategy. One often overlooked opportunity to leverage big data is in the context of SMS marketing. More companies are using SMS to expand their reach and capture a larger share of the market.

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15 Modern Use Cases for Enterprise Business Intelligence

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?