Sat.Dec 24, 2022 - Fri.Dec 30, 2022

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Scope 3 is coming: CIOs take note

CIO Business Intelligence

Even though sustainability can be an amorphous organizational pursuit, it’s becoming more of an urgent priority all industries must clearly define. Whether that’s through internally motivated ESG efforts or imposed regulations, CIOs, in particular, find themselves increasingly central figures in sustainability initiatives. And scope 3 reporting—an account of carbon emissions across the supply chain to build equipment, provide professional expertise, or deliver a subscription service—may be the m

Reporting 114
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The Terms and Conditions of a Data Contract are Data Tests

DataKitchen

The Terms and Conditions of a Data Contract are Automated Production Data Tests. A data contract is a formal agreement between two parties that defines the structure and format of data that will be exchanged between them. Data contracts are a new idea for data and analytic team development to ensure that data is transmitted accurately and consistently between different systems or teams.

Testing 130
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GCP: The Future of Cloud Computing

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: Image by Albrecht Fietz from Pixabay Google Cloud Platform, or GCP for short, is like a big house with many different rooms. Each room is called a “server,” where websites, apps, and other online stuff live. Imagine you have a really […]. The post GCP: The Future of Cloud Computing appeared first on Analytics Vidhya.

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Make Intelligent Decisions with Decision Intelligence

David Menninger's Analyst Perspectives

For far too long, business intelligence technologies have left the rest of the exercise to the reader. Many of these tools do an excellent job providing information in an interactive way that lets organizations dive into the data and learn a lot about what has happened across all aspects of the business. More recently, many of these tools have added augmented intelligence capabilities that help explain why things happened.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Data Science Minimum: 10 Essential Skills You Need to Know to Start Doing Data Science

KDnuggets

Data science is ever-evolving, so mastering its foundational technical and soft skills will help you be successful in a career as a Data Scientist, as well as pursue advance concepts, such as deep learning and artificial intelligence.

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How to Plan a Cybersecurity Strategy for Your Small Business

Smart Data Collective

Do you think a small business owner need not worry about cyberattacks? 46% of all cyberattacks impact businesses with less than 1000 employees. Small businesses have fewer resources to invest in the security paradigm. That’s why; hackers find it easy to attack such vulnerable systems instead of large corporations who have spent millions of dollars on cybersecurity.

Strategy 132

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Oracle Links Analytics and Business Intelligence in the Cloud

David Menninger's Analyst Perspectives

Organizations conduct data analysis in many ways. The process can include multiple spreadsheets, applications, desktop tools, disparate data systems, data warehouses and analytics solutions. This creates difficulties for management to provide and maintain updated information across multiple departments. Our Analytics and Data Benchmark Research shows that organizations face a variety of challenges with analytics and business intelligence.

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More Data Science Cheatsheets

KDnuggets

It's time again to look at some data science cheatsheets. Here you can find a short selection of such resources which can cater to different existing levels of knowledge and breadth of topics of interest.

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7 Ways to Avoid Errors In Your Data Pipeline

Smart Data Collective

A data pipeline is a technical system that automates the flow of data from one source to another. While it has many benefits, an error in the pipeline can cause serious disruptions to your business. Thankfully, there are ways to prevent them and avoid this company wide disruption. Here are some of the best practices for preventing errors in your data pipeline: 1.

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Knowledge Enhanced Machine Learning: Techniques & Types

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In machine learning, the data is an essential part of the training of machine learning algorithms. The amount of data and the data quality highly affect the results from the machine learning algorithms. Almost all machine learning algorithms are data dependent, and […].

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How Embedded Analytics Helps Product Managers Exceed Their KPIs

Embedded analytics can help you deliver cutting-edge analytics experiences to your end-users that align with KPIs that are critical to the growth and success of your business. Read this eBook to learn how an embedded analytics platform, like Qrvey, can help PMs exceed the following KPIs: Growing revenue while improving customer retention rate Delivering rapid time to value Earning a high net-promoter score Increasing Gross Margin / Profitability Conversion rate from trial to paid Don’t just meet

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Data Warehouse Migration: How to Make This Strategic Move

Octopai

Ever moved house? It’s time-consuming, labor-intensive and psychologically stressful. How about moving an Amazon fulfillment center? One of Amazon’s biggies, the area of 28 football fields with tens of millions of products in it. And hundreds of robots that move in a stunning synchronized dance together with the hundreds of human employees to get out tens of thousands of packages a day.

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Top 38 Python Libraries for Data Science, Data Visualization & Machine Learning

KDnuggets

This article compiles the 38 top Python libraries for data science, data visualization & machine learning, as best determined by KDnuggets staff.

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Niche Data Tactics to Take Your Business to the Next Level

Smart Data Collective

Big data can be an intimidating concept. Whether you’ve been using it for a while in your business or you’re just starting to explore the possibilities, there’s a lot to consider. Large corporations can hire dedicated data experts or even a full big data team , but small businesses have to be more selectively strategic in how they approach collecting and leveraging data.

Big Data 112
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Top 10 blogs on NLP in Analytics Vidhya 2022

Analytics Vidhya

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. It involves developing algorithms and models to analyze, understand, and generate human language, enabling computers to perform sentiment analysis, language translation, text summarization, and tasks.

Analytics 278
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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.

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DevOps & CI/CD for Power BI

Paul Turley

DevOps isn't difficult to implement for small and medium-scale projects, and simple things like managing version control in a code repository can save hours of lost time. Organization who are accustomed to managing large application development initiatives might expect to have a fully automated build and deployment process in concert with an Agile delivery process, managed with specialized tools like Jira, GitHub and Azure DevOps.

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Key Data Science, Machine Learning, AI and Analytics Developments of 2022

KDnuggets

It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

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Using Data to Excel in the Healthcare Industry

Smart Data Collective

Today, more and more organizations are taking advantage of data and the profound and wide-ranging insights that it has to offer. One industry that has begun to utilize data to inform decision-making is the healthcare industry. This is because data has the power to help healthcare organizations improve their processes in a number of critical ways. Understanding how data can help healthcare organizations thrive is key to gaining a deeper and more nuanced view of how healthcare is evolving in the m

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Analytics Vidhya’s Top 10 Machine Learning Blogs in 2022

Analytics Vidhya

Introduction Though machine learning isn’t a relatively new concept, organizations are increasingly switching to big data and ML models to unleash hidden insights from data, scale their operations better, and predict and confront any underlying business challenges. All this positively impacts the ML industry while opening up new career avenues, job roles, a plethora of […].

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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.

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The platform that allows Royal Opera House CTO to stream events into homes

CIO Business Intelligence

Covid-19 had an instant impact on London’s West End, and the Royal Opera House (ROH) was no exception. In March 2020, the company took the decision to close the building in Covent Garden and approximately 163 shows were cancelled in the first year of the pandemic. So when James Whitebread joined in June 2021, he could’ve been forgiven for wondering what kind of future lay ahead.

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Data-Driven Holiday Cheer: How Santa is Using Analytics to Make the Season Bright

KDnuggets

Want to know how Santa might use data science to make his job easier? So did we, so we asked ChatGPT. Read on to find out what it said.

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3 Trends for AI in Retail & CPG for 2023

Dataiku

The past three years haven’t exactly been smooth-sailing for the global supply chain. In many ways, it still feels like we’re grasping for the new normal. Nevertheless, enterprises across the Retail and CPG industry are looking ahead and planning for the future in novel ways. With that in mind, in this blog we’ll take a look at three trends in Retail and CPG to keep your eye on for the coming year.

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Crafting Serverless ETL Pipeline Using AWS Glue and PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview ETL (Extract, Transform, and Load) is a very common technique in data engineering. It involves extracting the operational data from various sources, transforming it into a format suitable for business needs, and loading it into data storage systems. Traditionally, ETL processes are […].

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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.

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An Evolved Data Catalog, a Centaur, and the Letter E: Alation’s 2022 in Review

Alation

In business — and even in life — you can be so focused on “What’s next?” that it’s easy to forget to ask “What happened?” The answer to both questions should align, though, for it’s important to leverage your accomplishments of the past 12 months as a foundation to build on during the following year. After all, I shed (net) 10 pounds since my end-of-2021 weigh-in, an achievement that I hope will compel me to run more miles and eat fewer doughnuts in 2023.

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The Zen of Python

KDnuggets

Python is one of the programming languages that are very versatile and relatively easy to learn. Hence it is the choice of many new programmers, regardless of what area of tech they are interested in. It is particularly popular in all data science branches.

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Death by Data Cleansing (and How to Avoid It in 3 Steps)

Dataiku

“First, we need clean and centralized data” is probably the one sentence responsible for the most failures of large-scale data initiatives (close second to “we’ll figure out how to deploy once we have models”). In helping organizations around the globe set up and implement their data science and AI strategies, we often hear teams say that they’re waiting to figure out their data first before beginning to generate value with advanced analytics and AI — whether they’re referring to data quality, d

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Introduction to Apache Kafka: Fundamentals and Working

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon? All these sites use some event streaming tool to monitor user activities. […].

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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.

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Power BI: Data Lineage and the Big Picture

Octopai

“At the roundabout, take the second exit. In 50 meters, turn right. You have reached your destination.”. Ahh, Waze. How did we find our way before you? While 90%+ of Waze use is done in the zoomed-in, hyper-localized, directive-by-directive view, imagine how frustrating it would be if you wanted to zoom out and get a bigger picture of your journey… and Waze didn’t let you.

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5 Tasks To Automate With Python

KDnuggets

Here are 5 tasks you can automate with Python, and how to do it.

IT 160
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MLOps in 2022: The Year of Collaboration

Dataiku

MLOps is changing, but you might be surprised to learn how. It's not about technology; it's about people. If MLOps is going to move beyond simple deployment and management of a few projects, it must evolve into a multi-persona approach that includes data scientists, engineers, and business stakeholders. When it does evolve, MLOps can finally become the lever for the industrialization of AI programs that we have all been waiting for.

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Top 5 Tips for Choosing the Right Database for Your Project

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Source: [link] As a developer, choosing the right database for your project is a crucial decision that can impact your project’s performance, scalability, and overall success. With so many available options, it can be overwhelming to determine which database best fits your […].

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr