Sat.Jun 25, 2022 - Fri.Jul 01, 2022

article thumbnail

DataOps Risk Insurance & Mission Control

DataKitchen

Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen.

Insurance 130
article thumbnail

Data Driven Culture: A Far-fetched Goal for Organizations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Creating a collaborative, data-driven culture is one of the most important goals of many modern organizations. A data-driven culture is when data is used to make decisions at every level of the organization. A data-driven culture is about replacing the gut feeling […].

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Semantic Models Benefit Analytical Processes

David Menninger's Analyst Perspectives

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind. The research shows how important a semantic model can be to the success of data and analytics processes.

Modeling 130
article thumbnail

24 SQL Questions You Might See on Your Next Interview

KDnuggets

Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.

160
160
article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

article thumbnail

Why Do Some Companies Achieve More Predictive Analytics Success?

CIO Business Intelligence

There is growing belief that businesses are set to spend huge amounts of money on predictive analytics. While in 2021, the global market for corporate predictive analytics was worth $10 billion, it is forecast to balloon to $28 billion by 2026. At this relatively early stage of adoption, many businesses are suffering from tough problems. Research shows nine in 10 businesses are not fully confident in their ability to make future-ready decisions around what they sell, with particular worries arou

article thumbnail

Stemming vs Lemmatization in NLP: Must-Know Differences

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the field of Natural Language Processing i.e., NLP, Lemmatization and Stemming are Text Normalization techniques. These techniques are used to prepare words, text, and documents for further processing. Languages such as English, Hindi consists of several words which are often derived […].

More Trending

article thumbnail

Data Preparation with SQL Cheatsheet

KDnuggets

If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

Data Lake 160
article thumbnail

11 dark secrets of data management

CIO Business Intelligence

Some call data the new oil. Others call it the new gold. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key. Encompassing data governance, data ops, data warehousing, data engineering, data analytics, data science , and more, data management, when done right, can

article thumbnail

How to Become a Blockchain Developer?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Although blockchain is still in its infancy, the opportunities for developers to contribute are not just exciting but also many. Many businesses, including supply chains, automotive, and finance, have adopted blockchain, but it is not without problems. When a cryptocurrency, namely Bitcoin, […].

Finance 338
article thumbnail

Ways Businesses Can Boost Logistics Performance with Analytics

Smart Data Collective

Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. If you were cryogenically frozen twenty years ago, upon awakening, you’d probably be more shocked to learn that you can place an order on the internet and get it the same day, than you would about the world’s billionaires

Analytics 108
article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

article thumbnail

Top Posts June 20-26: 20 Basic Linux Commands for Data Science Beginners

KDnuggets

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022.

article thumbnail

Misled by metrics: 7 KPI mistakes IT leaders make

CIO Business Intelligence

Mark Twain famously remarked that there are three kinds of lies: lies, damned lies, and statistics. Today, many CIOs feel the same way about metrics. Metrics are only as good as their source. “Too often, technology companies pay consulting or analyst firms to create metrics based on the best characteristics of their offerings,” says Judith Hurwitz, CEO of Hurwitz Strategies, an emerging technology consulting firm.

Metrics 133
article thumbnail

20 SQL Coding Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL stands for Structured Query Language. It’s a programming language to interact/query and manage RDBMS (Relational Database Management Systems). SQL skills are highly preferred and required as it’s used by many organizations in a large variety of software applications.

article thumbnail

Using Instagram Highlight Covers in Your Data-Driven Marketing Strategy

Smart Data Collective

Modern marketing strategies rely heavily on big data. One study found that retailers that use big data have 2.7 times greater brand awareness than those that don’t. Big data is even more important for companies that depend on social media marketing. Geoffrey Moore tweeted about this in 2012 when he said: “Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.”.

article thumbnail

Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

article thumbnail

Celebrating Women in Leadership Roles in the Tech Industry

KDnuggets

The technology industry, specifically, has been continuing to close the gender gap.

article thumbnail

4 exciting Dutch healthcare technology companies to watch

CIO Business Intelligence

The Netherlands has positioned itself as an emerging medtech powerhouse, with more than 1,100 healthcare technology startups – more than three times as many relative to population size when compared to neighbouring Germany. The meteoric rise of the healthtech industry can be attributed to increasing costs for healthcare (which were up by approximately €9 billion in the Netherlands last year); the COVID-19 pandemic, which accelerated medical innovations; and the exponential growth of emerging tec

article thumbnail

The Technology of Automation and Artificial Intelligence

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Automation and intelligence are two technologies that are widely used in modern systems, making them cutting-edge. Without the two technologies of automation and intelligence, a computer system or program will revert to outdated design and development concepts, which are currently obsolete and […].

article thumbnail

3 Smart Technologies Boosting Energy Efficiency Worldwide

Smart Data Collective

The growth of smart technology is one of the most beneficial trends brought on by advances in AI. It is projected that there will be over 77 million smart homes in the United States by 2025. Smart technology is also being used by businesses and government institutions around the world. Many factors are driving the demand for smart technology. The quest for efficient and sustainable energy usage is one of the defining technological challenges of the modern age — especially as we find ourselves in

article thumbnail

Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

article thumbnail

KDnuggets News, June 29: 20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis

KDnuggets

20 Basic Linux Commands for Data Science Beginners; Market Data and News: A Time Series Analysis; Data Science Career: 7 Expectations vs Reality; Machine Learning Is Not Like Your Brain Part 4: The Neuron’s Limited Ability to Represent Precise Values; Comprehensive Guide to the Normal Distribution.

article thumbnail

Reflections on Authenticity This Pride Month at Dataiku

Dataiku

What is a queer, woman of color to speak about when given a platform to make an impact at Dataiku? When approached by the Dataiku Queer Employee Resource Group (ERG) to write this blog post, the opportunity left me personally excited and a little overwhelmed to achieve. Do I speak about identity, intersectionality, community, or acceptance? Those are a few important topics that come to mind.

105
105
article thumbnail

Understanding Transaction Management in SQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to SQL A transaction is a set of operations carried out as a logical unit of work. It is a logical work unit that includes one or more SQL statements. A database system must ensure that transactions are properly executed even if […]. The post Understanding Transaction Management in SQL appeared first on Analytics Vidhya.

article thumbnail

4 IT Management Best Practices Data-Driven Businesses Must Practice

Smart Data Collective

Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. You have to make sure that your IT infrastructure is adequately equipped to handle the volume of data your company will be processing and that it will be properly secured.

article thumbnail

The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

article thumbnail

Making Sense of CRISP-ML(Q): The Machine Learning Lifecycle Process

KDnuggets

Learn about the standard process for building sustainable machine learning applications.

article thumbnail

Data science drives big decisions at Kohl’s

CIO Business Intelligence

Long before the advent of customer data platforms (CDPs) , Kohl’s business model centered on collecting and cultivating customer data. “We’ve had a homegrown customer data environment for decades,” says Paul Gaffney, CTO and supply chain officer at the $19.4 billion American department store chain. “And we’re quite happy with our custom implementation.”.

article thumbnail

Introduction to Memcached using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Memcached is a highly-performant distributed caching system. It is an in-memory key-value data store, which makes it a type of NoSQL database. Memcached is used by tech giants like Facebook, Twitter, Instagram, and Netflix. In my previous article, I explained Redis which […].

article thumbnail

10 Essential Data-Driven B2B Email Marketing Strategies

Smart Data Collective

Big data technology is leading to a lot of changes in the field of marketing. A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data. If you want to make the most of your big data strategy, you should keep reading to learn how to incorporate data into email marketing.

B2B 103
article thumbnail

Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

article thumbnail

Statistics and Probability for Data Science

KDnuggets

In this article, we discuss the importance of statistics and probability in data science and machine learning.

article thumbnail

Showcasing Achievements in Data, Analytics, AI, & Beyond

Dataiku

Whether it’s automating everyday tasks, elevating more people to harness the power of data, systematizing transformation, or tackling moonshot projects, data science practitioners around the world leverage Dataiku for a wide range of innovative applications. Their pioneering work is celebrated annually with the Dataiku Frontrunner Awards , where success stories and use cases from data science and AI leaders across industries are gathered and shared.

article thumbnail

Top 15 Important Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – Analytics India Magazine Introduction Job interviews can be scary if you are a fresher and especially if you are attending interviews on interdisciplinary roles like Data Science and Machine Learning. The tension, the doubt if you will get a yes or […]. The post Top 15 Important Data Science Interview Questions appeared first on Analytics Vidhya.

article thumbnail

Perfecting Operations Through Machine Learning

CIO Business Intelligence

CEMEX was faced with a flood of false positive alerts from its system monitoring software. Ultimately, the company deployed software and best practices to dramatically cut the false positives for improved monitoring and a better experience for employees and customers. Riddle me this! When is too much of a good thing not good? Well, for Juan Murguia Castillo, Cemex IT operations director, and his team in CEMEX’s Operations Control Center (OCC), that question presented itself every day.

article thumbnail

The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.