Sat.Oct 23, 2021 - Fri.Oct 29, 2021

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7 Must-Have Data Management Capabilities

Data Virtualization

Agile processes and automation are on the rise, causing companies to increasingly seek data virtualization solutions, which offer several important benefits: First, maintenance is cheaper compared to traditional tools, and data virtualization, which does not rely on data replication, eliminates. The post 7 Must-Have Data Management Capabilities appeared first on Data Virtualization blog.

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A Comprehensive Guide on Feature Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Why should we use Feature Engineering? Feature Engineering is one of the beautiful arts which helps you to represent data in the most insightful possible way. It entails a skilled combination of subject knowledge, intuition, and fundamental mathematical skills. You are effectively transforming […].

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What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

DataKitchen

This article was originally published in Forbes. Engineers unleashed artificial intelligence (AI) bias, and it will be engineers who design the solutions that eliminate it. Authors of an article published by McKinsey Global Institute assert that “more human vigilance is needed to critically analyze the unfair biases that can become baked in and scaled by AI systems.

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Databricks Lakehouse Platform Streamlines Big Data Processing

David Menninger's Analyst Perspectives

Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. It can enable data engineers, data scientists, analysts and other workers to process big data and unify analytics through a single interface.

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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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Get Started With Interactive Weekly Reports For Performance Tracking

datapine

Table of Contents. 1) What Is A Weekly Report? 2) Why Are Weekly Progress Reports Important? 3) Weekly Report Templates & Examples. 4) Top Elements Of A Weekly Performance Report. Businesses have been analyzing their performance for decades through traditional written reports, but with the amount of data being produced every day, the need for more frequent reporting is growing.

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A Comprehensive Guide to Time Series Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon This article was published as a part of the Data Science Blogathon Synopsis of Time Series Analysis A Time-Series represents a series of time-based orders. It would be Years, Months, Weeks, Days, Horus, Minutes, and Seconds A time series is an observation […]. The post A Comprehensive Guide to Time Series Analysis appeared first on Analytics Vidhya.

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Dataiku’s Role in the Modern Data Stack

Dataiku

Any small or midsize business (SMB) that’s serious about making the use of data, analytics, and AI everyday behavior for everyone is using a version of the modern data stack architecture. It can even make sense in the enterprise context for teams just getting started on their AI journey.

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Infographic – Data Engineers are Burned Out and Calling for DataOps

DataKitchen

A survey commissioned by data.world and DataKitchen reveals a disturbing state of affairs among data engineering professionals. The study of 600 data engineers, conducted by Wakefield Research, suggests an overwhelming majority are burned out and calling for relief. This infographic highlights the results. You can also download the infographic here.

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Complete Guide to build your AI Chatbot with NLP in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this Comprehensive Guide, we are going to be covering the following topics and the end goal is to teach you how to make your own personal intelligent AI chatbot: NLP and its uses in speech interpretation. AI and its uses in […]. The post Complete Guide to build your AI Chatbot with NLP in Python appeared first on Analytics Vidhya.

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AI Advances Help Contextual Targeted Advertising Strengthen Branding

Smart Data Collective

Artificial intelligence has become essential to modern marketing. Companies are finding newer, more creatives ways to integrate AI into their marketing strategies. This goes for both brand and performance marketing. AI can be useful in both online and offline marketing, but it tends to have greater efficacy in regards to online marketing strategies.

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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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A Trick, a Tip and a Thing to Try in Your Next Presentation

Depict Data Studio

Depict Data Studio full courses always end with a graduation ceremony where participants share the progress they’ve made in the course. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! In this blog post, you’ll learn from Elizabeth Dove. Elizabeth is a professor at the University of Montana who teaches art and design.

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Maintaining and Improving Predictive Models With Dataiku

Dataiku

Managing one model at a time is pretty easy. But how do you go about managing tens of models, or even more? Vincent Gallmann, Senior Data Scientist at French bank FLOA , answered this question in a 2021 Product Days Session on managing data science projects with Dataiku.

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Face Mesh Application using OpenCV and dlib

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this article, we will be using OpenCV and dlib to extract faces from a given image and then we will try to mesh both the faces. In short, we will try to mesh the faces from two different images. We will […]. The post Face Mesh Application using OpenCV and dlib appeared first on Analytics Vidhya.

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How People from Outside of the Tech Industry are Breaking into Data Science

Smart Data Collective

Data science careers used to be extremely selective and only those with certain types of traditional credentials were ever considered. While some might suggest that this discouraged those with hands-on experience from ever breaking into the field, it did at least help some companies glean a bit of information about potential hires. Now, however, an increasingly large number of people breaking into the field of data sciences actually aren’t themselves scientists.

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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 Ultimate Map to finding Halloween candy surplus

Cloudera

As Halloween night quickly approaches, there is only one question on every kid’s mind: how can I maximize my candy haul this year with the best possible candy? This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. Using Cloudera Machine Learning, the world’s first hybrid data cloud machine learning tooling, let’s take a deep dive into the world of candy analytics to answer the tough question on everyone’s

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Using Dataiku to Understand Weather Across Different Parts of Singapore

Dataiku

What? Yes, you read that right! Singapore is such a tiny island, you may wonder just how big the differences in weather can get. Join us to find out! Given the recent “prolonged heavy rain” in August, with multiple locations in Singapore encountering flash floods, we are also curious to find out how the weather has changed across time for different parts of the city.

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An introduction to Autoencoders for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Autoencoders are unstructured learning models that utilize the power of neural networks to perform the task of representation learning. In the context of machine learning, representation learning means embedding the components and features of original data in some low-dimensional structure for better […].

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What Are the Benefits of Cloud Computing?

Smart Data Collective

Cloud Computing is the next big thing that is becoming popular all over the world, especially for the bigger Enterprises. People are now open the cloud computing options because they want to save the data for a longer term to make sure that they don’t lose data in case of any emergency. Cloud computing has been in the industry for more than two decades now, and it has been continuously providing competitive benefits to everybody in the industry.

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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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How to set and manage sales goals

Jedox

From overarching sales targets to more specific sub-goals and milestones, how should they be defined? What do you need to consider? In this blog post, we look at sales targets and goal setting from different perspectives and discuss what to consider when defining them. Most everyone has goals of some type they aim to achieve. Some reach for the stars, others prefer a more modest approach.

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Setting Direction for AI Governance

Dataiku

We've recently published an ebook on AI Governance. Focused on AI regulations, it provides perspective on new rules that will be rolling out across the world that will impact AI developers, users, and the wider public.

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End to End Statistics for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. The main benefit of statistics is that information is presented in an easy-to-understand format. Data processing is […].

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Top 5 Tools for Building an Interactive Analytics App

Smart Data Collective

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight.

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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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Predictions 2022: Successfully Riding The Next Wave Of AI

Srividya Sridharan

In 2022, AI will get more embedded, more responsible, and more creative. Learn why in Forrester's 2022 AI predictions.

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Is Balancing Complex Retail and CPG Supply Chains a Total Fantasy?

Teradata

Recent events have illustrated the fragility of ultra-lean supply chains. Chief Supply Chain Officers must figure out how to navigate these crises to manage costs, speed & quality of service.

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Human Pose Estimation Using Machine Learning in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Pose detection is an active field of study in the field of computer vision. You can literally find hundreds of research papers and several models that try to solve the problem of pose detection. The reason why so many machine learning enthusiasts are […]. The post Human Pose Estimation Using Machine Learning in Python appeared first on Analytics Vidhya.

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What You Should Adjust in Windows to Improve Data Security

Smart Data Collective

Data security has become a vital topic of concern for consumers all over the world. Countless people have had to contend with the consequences of having their personal data exposed. Data breaches are most widely publicized when they occur at major corporations, such as Target. Unfortunately, these high profile cases take attention away from the need to invest in data security solutions at home.

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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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Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

The terms “reporting” and “analytics” are often used interchangeably. In fact there are some very important differences between the two, and understanding those distinctions can go a long way toward helping your organization make best use of both financial reporting and analytics. Here’s an overview of the key differences between the two, as well as some tips on how the finance team at your company can use information to help your business achieve strategic and tactical advantage.

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Checklist of Data Dashboard for 2021? Definition, Examples & More

FineReport

Numerous data?Want to flee the great tidal wave of data display? No bombardment anymore? Now here comes data dashboard ?Similar to the instrument panel equipped in a car, it transforms obscure expertise into plain visualizations which are pleasing to both the eye and mind. 1.What is Data Dashboard?–Definition. A data dashboard is a useful tool that could display and analyze users’ complex data by means of data visualization so that the user gains a deep insight into the value of data.

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Introduction to Partitioned hive table and PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is the need for Hive? The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and […]. The post Introduction to Partitioned hive table and PySpark appeared first on Analytics Vidhya.

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GraphDB Users Ask: Can GraphDB Infer Data Based on Values From a Virtualized Repository?

Ontotext

ONTOTEXT ANSWER: The answer to this question loops back to one of our previous posts – GraphDB is a forward chaining database. This means that inferred statements are changed – inserted or removed – during data updates. Virtualized repositories are, as the name suggests, virtual. No data is ingested for these repositories. You can think about them as you would think about a translator.

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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?