Sat.Dec 11, 2021 - Fri.Dec 17, 2021

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8 analytics startups to watch over the next year

DataKitchen

The post 8 analytics startups to watch over the next year first appeared on DataKitchen.

Analytics 316
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Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022

KDnuggets

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

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Introduction to Artificial Neural Network with Impementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon + Image 1 Overview This article will support data scientists in furthering their studies on artificial neural networks so that they can develop applications for professional use. We introduce the concept of ANN, from the Perceptron device, we conceptualize input neurons, functions, and activation […].

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Isn’t it time community speakers were all treated reasonably and equally by organizers?

Jen Stirrup

TL; DR Yes. Let me tell you about the second-worst conference experience I’ve ever had as a speaker. The worst experience happened a few years ago and it is at the foot of the post so you will have to read down – note, it does have a trigger warning. Speakers from diverse backgrounds want equality not preferential treatment. Let me explain a scenario and let me make it clear that I’m not asking for preferential treatment.

IT 145
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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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DataKitchen’s Best of 2021 DataOps Resources

DataKitchen

Before we shut the door on 2021, we would like to share our most popular DataOps content in hopes that it can help you as you learn about and implement DataOps. We hope you and your family have happy holidays and we look forward to continuing your DataOps journey with you in the new year. Without further ado, here are DataKitchen’s top ten blog posts, top five white papers, and top five webinars from 2021.

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10 Key AI & Data Analytics Trends for 2022 and Beyond

KDnuggets

What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

More Trending

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Data-Driven Marketing Strategies to Supercharge eCommerce Businesses

Smart Data Collective

Big data has become a highly invaluable aspect of modern business. More companies are using sophisticated data analytics and AI tools to overhaul their business models. Some industries have become more dependent on big data than others. The e-commerce sector has been one of the most affected by major advances in data technology. Smart e-commerce entrepreneurs are utilizing big data to address many of the problems they are facing.

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Cloudera Response to CVE-2021-44228

Cloudera

Summary. On December 10th 2021, the Apache Software Foundation released version 2.15.0 of the Log4j Java logging library, fixing CVE-2021-44228 , a remote code execution vulnerability affecting Log4j 2.0-2.14. An attacker can use this vulnerability to instruct affected systems to download and execute a malicious payload through submitting a custom-crafted request.

Software 127
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Write Clean Python Code Using Pipes

KDnuggets

A short and clean approach to processing iterables.

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An End-to-End Guide on Google’s BERT

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In the past few years, Natural language processing has evolved a lot using deep neural networks. Many state-of-the-art models are built on deep neural networks. BERT (Bidirectional Encoder Representations from Transformers) is a very recent work published by Google AI Language researchers.

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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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Data-Driven SEO Strategies Are Essential for Your Small Business

Smart Data Collective

Big data has become invaluable to many businesses around the country. A growing number of business owners are investing in data-driven marketing strategies. One of the biggest ways that big data can help your business reach more customers is through SEO. Earlier this summer, we talked about the approaches to data-driven SEO. However, there are a lot of benefits from the business side that you have to understand as well.

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New Format for The Bar Chart Reference Page

The Data Visualisation Catalogue

To demonstrate the potential new content structure being implemented on an existing visualisation reference page, here’s an example provided for Bar Charts : Bar Chart. Other names: Bar Graph, Bar Plot. Functions: Comparisons, Rankings Encodings: Length. Description. A graph that displays a series of bars plotted on a common axis, whose lengths are proportional to the values they each represent.

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The 5 Characteristics of a Successful Data Scientist

KDnuggets

I've put some thought into this, and come up with the 5 characteristics of a what I believe define a successful data scientist. Do you agree?

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A Review of 2021 and Trends in 2022 – A Technical Overview of the Data Industry!

Analytics Vidhya

Introduction While we bid adieu to 2021, one should not fail to acknowledge the fact that it was another crazy year in the history of humanity. We all aged simultaneously with a never-ending pandemic turning up with new variants every now and then. Coming to data science, 2021 was a very incremental year for this […]. The post A Review of 2021 and Trends in 2022 – A Technical Overview of the Data Industry!

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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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The Evolving Role of Analytics in Supply Chain Security

Smart Data Collective

Analytics technology has become fundamental to many aspects of organizational management. Some of the benefits of analytics actually have crossover with each other. For example, more companies than ever are using analytics to bolster their security. They are also using data analytics tools to help streamline many logistical processes and make sure supply chains operate more efficiently.

Analytics 139
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A Ride on the Rocket Ship: How We Scaled in 2021 While Strengthening Company Culture

Dataiku

Besides preparing our anticipated AI trends for the upcoming year, annually in Q4 we also take time to reflect on the year we had internally at Dataiku — what we accomplished and what we aim to tackle in the new year. At just about this time last year — December 17 to be exact — we were celebrating our 500 employee milestone and looking back on how the company adjusted to going fully remote amidst the onset of the global health crisis.

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5 Key Skills Needed To Become a Great Data Scientist

KDnuggets

Based on 10 years of my experience (learn to build those skills).

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Top Data Science Projects to add to your Portfolio in 2021

Analytics Vidhya

Introduction 2021 is a year that proved nothing is better than a Proof of Work to evaluate any candidate’s worth, initiative, and skill. Pursuing any data science project will help you polish your resume. These projects will not only deepen an understanding of the concepts but also, help you gain some practical experience in the […]. The post Top Data Science Projects to add to your Portfolio in 2021 appeared first on Analytics Vidhya.

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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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7 Ways Data Analytics Is Boosting the ROI Of Digital Marketing

Smart Data Collective

Digital marketers work online and leverage online tools to drive sales. They make up an aspect of marketing focused on using the internet and cloud-based technology to promote brands. Marketers all share the same goal: reach the target audience and make more profit. But driving sales through the maximization of profit and minimization of cost is impossible without data analytics.

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Are We There Yet? …Composite Models Using DirectQuery Over Power BI Datasets

Paul Turley

Last year I wrote this post about the new composite model feature in Power BI that enables datasets to be chained together using a featured called “DirectQuery for PBI Datasets and AS“ The prospect of creating a data model that virtually layers existing data models together without having to repeat the design, sounds like nothing … Continue reading →

Modeling 114
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Feature Selection: Where Science Meets Art

KDnuggets

From heuristic to algorithmic feature selection techniques for data science projects.

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End to End Potato Leaf Disease Prediction Project – A Complete Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, We will develop an End to End project which will be based on Pure Deep Learning. I’m using Pure term here, the reason you’ll come to know in my further articles. The reason behind building this project is to detect […]. The post End to End Potato Leaf Disease Prediction Project – A Complete Guide appeared first on Analytics Vidhya.

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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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The 5 Best Methods Utilized for Data Collection

Smart Data Collective

Collecting data is a necessary step that companies must take to reach their desired standards or keep from declining in quality. Not only that, but the product or service primarily influences the public’s perception of a brand that they offer, so gathering the data that will inform them of customers’ level of satisfaction is extremely important. But what ways should be used to do so?

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AI and ML: No Longer the Stuff of Science Fiction

Cloudera

Artificial Intelligence (AI) has revolutionized how various industries operate in recent years. But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . The category “Data for Enterprise AI” awards companies from around the world that have built and deployed use cases for enterprise-scale machine learning and have in

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A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment

KDnuggets

How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.

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How to Use Yolo v5 Object Detection Algorithm for Custom Object Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, I will explain to you about using Yolo v5 Algorithm for Detecting & Classifying different types of 60+ Road Traffic Signs. We will start from very basic and covers each step like Preparation of Dataset, Training, and Testing. In this article, […].

Testing 343
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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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Using AI to Build a Successful Multilingual Website in 4 Steps

Smart Data Collective

The history of AI in web development can be traced back to 1993, when the Mosaic graphical web browser was launched. Artificial intelligence has come a long way in the 30 years since that browser first reached the market. It will be even more important in the future. Artificial intelligence technology is becoming invaluable to the art of web design.

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Accessibility Quick Wins: Lower the Numeracy Level

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. In Spring 2021 I gave a talk at the Good Tech Fest conference about dataviz accessibility quick wins.

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Top Resources for Learning Statistics for Data Science

KDnuggets

Let’s take a look at the current state of statistics in data science, and what you can do to accelerate your learning.

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Custom Object Detection on the browser using TensorFlow.js

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is object detection? Cf the many Computer Vision cognitive application, object detection is one of the highly used techniques to identify and locate objects in images and videos. As the name suggests – ‘Computer Vision’, is the ability for computers to acquire human-like […].

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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?