Tue.Oct 05, 2021

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Data Literacy for Responsible AI: Governance and Accountability

DataRobot

At the organizational level, artificial intelligence represents the potential for major, novel gains. But the technology’s ability to unleash rapid impact with great scope and unique dimensions can also increase organizational risk. For companies implementing AI systems, that risk extends beyond revenue to the reputational damage of using an algorithm that is perceived to be discriminatory or harmful to vulnerable groups.

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A Comprehensive Guide to Reinforcement Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Reinforcement learning is not just used for Robotics but now even in Data Science It has tons of applications and we will cover some of them in this guide. This comprehensive guide will introduce you to RL theory and implementation, all in Python […]. The post A Comprehensive Guide to Reinforcement Learning appeared first on Analytics Vidhya.

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Alteryx Tackles Analytics Ops

David Menninger's Analyst Perspectives

Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data. The platform features tools to run a variety of analytic functions such as diagnostic, predictive, prescriptive and geospatial analytics in a unified platform, and can connect to various data warehouses, cloud applications, spreadsheet

Analytics 244
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End-to-End Predictive Analysis on AirBnB Listings Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Airbnb is a $75 Billion online marketplace for renting out homes/villas/ private rooms. The website charges a commission (3 to 20 percent, ) for every booking. Even though the prospects are sound, but there are critics who argue that this has driven up […]. The post End-to-End Predictive Analysis on AirBnB Listings Data appeared first on Analytics Vidhya.

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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.

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What is a DataOps Engineer?

DataKitchen

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires.

Testing 157
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A Detailed Guide on SQL Query Optimization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview of SQL Query Optimization SQL Query optimization is defined as the iterative process of enhancing the performance of a query in terms of execution time, the number of disk accesses, and many more cost measuring criteria. Data is an integral part of any […]. The post A Detailed Guide on SQL Query Optimization appeared first on Analytics Vidhya.

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A Guide to DVC and DAGsHub for Machine Learning Experiments

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Learn an effortless way of versioning the data, machine learning models, and monitoring model performance using the DAGsHub platform. Image by Author Introduction to DVC and DAGsHub In this guide, we will learn about DVC and how DAGsHub makes it easy for Machine learning […]. The post A Guide to DVC and DAGsHub for Machine Learning Experiments appeared first on Analytics Vidhya.

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Communicating with Your Audience More Effectively

Depict Data Studio

Depict Data Studio full courses always end with a graduation ceremony where students share the progress they’ve made. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! Today you’ll learn from JC De Jesus, Vice-President of Service Delivery for an internet-provider based in Canada. Thanks for sharing, JC!

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Why Your Data Governance Strategy is Failing

Alation

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and strategy for growth. But what comes after these parameters are set?

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GraphDB Users Ask: Does GraphDB Support Reusing Values in Sub-selects?

Ontotext

ONTOTEXT ANSWER: A little background for those of you who are puzzled by this question. We are going to go down the rabbit hole of advanced SPARQL. Suppose you have a database of movies. In that database, you also have data on the actors. For each actor, you have some properties, including their height. So, you may think of a query such as: “Return the four top-grossing movies, and then return the two highest actors for each movie.”.

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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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New Course: Marketing Analytics for Business

DataCamp

Become a data-driven marketer: Learn about our newest no-code course, which will show you how as a marketer you can use data to better understand your customers and drive business growth.

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How to Select Data Catalog Software for Business Intelligence

Octopai

Finally. FINALLY. Your CFO finally gave the okay to purchase data catalog software. Wa-hoo! When you’ve cleaned up the confetti and the cocktail glasses, it’s time to get down to business. This is a major investment. How will you choose the best data catalog software for your company? Lest the proliferation of data catalog features and options leave you groping for someone’s leftover margarita, here’s a guide with the questions to ask to cut through the overwhelm and reach clarity. .

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Struggling to Manage your Multi-Tenant Environments? Use Chargeback!

Cloudera

If your organization is using multi-tenant big data clusters (and everyone should be), do you know the usage and cost efficiency of resources in the cluster by tenants? A chargeback or showback model allows IT to determine costs and resource usage by the actual analytic users in the multi-tenant cluster, instead of attributing those to the platform (“overhead’) or IT department.

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Data Access Governance Requirements for Data Science

TDAN

Data is the raw material for any type of analytics – whether it is related to historical analysis presented in reports and dashboards by business analysts, or predictive analysis that involves building a model by data scientists that anticipates an event or behavior that has not yet occurred. Before business analysts or data scientists can […].

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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.

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Taking TL;DR to a New Level With Interactive Document Intelligence for ESG

Dataiku

Traditionally, organizations rely heavily on individuals, sometimes lawyers with a notoriously high hourly rate, to read through documents manually. They often search for relevant materials in an ad hoc manner, with no systematic way of categorizing, understanding, and interpreting the information and trends.

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The Data Marketplace is On the Rise

TDAN

For most organizations, the process of becoming more data-driven starts with better understanding and using their own data. But internal data is just the tip of the iceberg. Underneath the surface of the (data) lake is the untapped value of external data, which has given rise to the data marketplace. Role of External Data in […].

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15 Best Pharma KPIs and Metric Examples for 2021 Reporting

Jet Global

What is a Pharmaceutical KPI? A pharmaceutical key performance indicator (KPI) is a quantifiable measure that is used to monitor a pharmacy’s performance. KPIs help the business successfully pursue its goals. In the pharmaceutical industry, the goal is often ensuring good patient health while staying profitable. How to Identify the Right Pharmaceutical Metrics.

Metrics 52
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Data Professional Introspective: What Good Data Looks Like – Part 4

TDAN

This column is next in the series of how organizations achieve and sustain significant improvements in fundamental data management disciplines, in their journey to Great Data. Content and recommendations are based on my work with many organizations to evaluate, accelerate and enhance their EDM Programs. We’re going to explore “What Good Looks Like” for an […].

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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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New Class Announcement and Fall Training Schedule

Decision Management Solutions

We have three upcoming training classes in November. These are all delivered live and online so you can attend from anywhere. The first training is a new class held November 2-4: “ Operationalizing Machine Learning with DMN. ” In this class, you will learn how to deploy, integrate, and act upon the predictive models of machine learning. This class teaches you how to use decision modeling to frame machine learning projects and evaluate the effectiveness of your machine learning models

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Data Management is a Digital Transformation Foundation

TDAN

Data Management is intrinsic to the change that Digital Transformation symbolizes. Comprising of hard facts about data from collection, unification, quality, and enrichment to maintenance, integration, and dissemination, data management critically influences Digital Transformation. A recent BCG report showed that more than 80% of companies plan to accelerate their Digital Transformations.

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An Introduction to Ranger RMS

Cloudera

Cloudera Data Platform (CDP) supports access controls on tables and columns, as well as on files and directories via Apache Ranger since its first release. It is common to have different workloads using the same data – some require authorizations at the table level (Apache Hive queries) and others at the underlying files (Apache Spark jobs). Unfortunately, in such instances you would have to create and maintain separate Ranger policies for both Hive and HDFS, that correspond to each othe

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The Book Look: The Enrichment Game

TDAN

I very much enjoyed reading The Enrichment Game by Doug Needham. Doug has spoken many times at our Data Modeling Zone conferences over the years, and when I read the book, I can hear him talk in his distinct descriptive and conversational style. The Enrichment Game describes how to improve data quality and data useability […].

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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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Server Management Best Practices for Data-Driven Organizations

Smart Data Collective

There is no denying the fact that big data has become a critical asset to countless organizations all over the world. Many companies are storing data internally, which means that they have to be responsible for maintaining their own standards. Unfortunately, managing your own data server can be overwhelming. You have to make sure that your data is going to be secure from breaches and preserved from potential data outages.

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Have We Forgotten the Purpose of Technology in Business?

TDAN

Fundamentally, the purpose of technology in business is to manage the treasure trove of data captured within sophisticated technological systems. We do this to understand and communicate with the world we see around us and help us better engage with that world to become more successful. Over the lifespan of the human race, like other […].

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20 Best Examples of Charts and Graphs

Juice Analytics

We’ve collected these high-quality examples of charts and graphs to help you learn from the best. For each example, we point out some of the smart design decisions that make them effective in communicating the data. There is a lot of variety in styles and structures, but you may notice common elements across these well-designed data visualizations. For example, you’ll see… Thoughtful use of color; Few distracting elements that undermine the message; Labels and legends that highlight how to inter