Sat.Sep 25, 2021 - Fri.Oct 01, 2021

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The Weak Link in Data Governance? Analytics

David Menninger's Analyst Perspectives

Data governance is a hot topic these days. In fact, we are conducting benchmark research on the subject here. With increasing regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizations face more external oversight of their data governance practices. The risk of significant fines associated with these and other regulations, coupled with organizations’ internal compliance requirements, has brought more attention to data governanc

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Maximum Likelihood Estimation -A Comprehensive Guide

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The purpose of this guide is to explore the idea of Maximum Likelihood Estimation, which is perhaps the most important concept in Statistics. If you’re interested in familiarizing yourself with the mathematics behind Data Science, then maximum likelihood estimation is something you can’t […].

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Everything You Need to Know About DataOps Solutions

DataKitchen

The post Everything You Need to Know About DataOps Solutions first appeared on DataKitchen.

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AzureML and CRISP-DM – a Framework to help the Business Intelligence professional move to AI

Jen Stirrup

Azure ML can become a part of the data ecosystem in an organization, but this requires a mindshift from working with Business Intelligence to more advanced analytics. How can we can adopt a mindshift from Business Intelligence to advanced analytics using Azure ML? Although CRISP-DM is not perfect , the CRISP-DM framework offers a pathway for machine learning using AzureML for Microsoft Data Platform professionals.

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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.

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Collibra Brings Effective Data Governance to Line-of-Business

David Menninger's Analyst Perspectives

Collibra is a data governance software company that offers tools for metadata management and data cataloging. The software enables organizations to find data quickly, identify its source and assure its integrity. Line-of-business workers can use it to create, review and update the organization's policies on different data assets. Collibra’s software uses a microservice architecture and open application programming interfaces to connect to various data ecosystems.

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Guide For Data Analysis: From Data Extraction to Dashboard

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. Unlike hackathons, where we are supposed to come up with a theme-oriented project within the stipulated time, blogathons are different. Blogathons are competitions that are conducted for over a month […].

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Data Quality in the Age of AI: A User Story

Dataiku

Today, more than 90% of AI practitioners experience significant cascading data errors , and poor data quality is estimated to cost companies 20% of revenue. The bottom line: bad data is ubiquitous and costly, and it also reduces organizations’ overall AI productivity. So what can today’s data leaders do to alleviate the bottleneck?

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Navigating Tableau’s Resources with Zach Bowders

Depict Data Studio

Zach Bowders was a guest speaker during a Dashboard Design live session, which is an opportunity for Depict Data Studio students to come together to learn from experts, get extra training, and ask questions. . Zach is a Tableau Zen Master and Tableau Ambassador and shared his expertise with us on all things Tableau. Watch the Conversation. About Zach Bowders.

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Introduction to Artificial Intelligence for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is Artificial Intelligence We have come a long way in the field of Machine Learning / Deep learning that we are now very much interested in AI (Artificial Intelligence), in this article we are going to introduce you to AI. The short and […]. The post Introduction to Artificial Intelligence for Beginners appeared first on Analytics Vidhya.

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Smart SMBs Are Taking Advantage of Major Advances in Data Security

Smart Data Collective

A surprisingly large number of SMBs think they’re too small to be targeted by hackers. The truth is, cybercriminals sniff out opportunities regardless of the company size and the complacency of the SMBs is what draws them. 2020 was an especially eventful year for small businesses and it has exposed fundamental flaws in the way they handle data.

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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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Demystifying the Modern Data Stack

Dataiku

If you’re looking to leverage data at a small or midsize business (or even in a smaller business unit or a larger enterprise), you’ve no doubt heard of the modern data stack — a suite of tools or a pipeline that makes for easier collection, operationalization, and analysis of data. Here are four things you need to understand about the state of the modern data stack today before diving in to build or implement one at your organization.

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#ClouderaLife Spotlight: Liz Lashgari, Senior Employee Relations Manager

Cloudera

September 15th marks the beginning of National Hispanic Heritage Month – a month in which the contributions and influence of Hispanic people on the history, culture and achievements of the US are recognized. To commemorate the month, we are spotlighting an employee who is as active within the community as they are in the company and LatinX Employee Resource Group (ERG).

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40 Helpful Python tips to Boost your speed as a Data Scientist

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Because of its simplicity and ease of learning, Python has become very popular these days. It is used for various activities such as data science, machine learning, web development, scripting, automation, etc. Python is one of the most demanding skills for data scientists. […].

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8 Ways Machine Learning Can be Used to Make Cities Smarter

Smart Data Collective

It’s no secret that artificial intelligence and technology has been developing quickly in recent times, with applications such as CAPTCHA that prevent bots from accessing sites, thermostats that adapt to our daily schedules or even algorithms that could choose potential vacation destinations for us. But what if machine learning could be used beyond niche or individual contexts?

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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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Setting up Your Feature Store With Dataiku

Dataiku

In part one of this series on feature stores and Dataiku, we listed the benefits of feature stores and gave a high-level overview of a feature store implementation with Dataiku. If part one got you excited to try to implement a feature store in your company, this article will provide you with a step-by-step guide on how to get started. We will focus on how to build, store, and serve features in your training or scoring pipelines.

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GraphDB Users Ask: Why Do I Get Errors About GraphDB Being “Unable to Find Valid Certification Path to Requested Target”?

Ontotext

ONTOTEXT ANSWER: That is a fairly common issue with Java and quite hard to debug. There may be a number of cases where this exception is thrown. Fortunately, all of them are quite distinct! And, even better, the root cause is always the same – a misconfigured SSL certificate. So, let’s take a look at what it might be. The GraphDB cluster doesn’t work.

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A Comprehensive Guide on Neural Networks Performance Optimization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Deep learning is a subset of Machine Learning dealing with different neural networks with three or more layers. There are different deep neural networks that work best on many different real-world applications and research and development are still going on. The comprehensive guide […].

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Why Data-Conscious CIOs Use Gartner to Evaluate Software

Smart Data Collective

Data analytics is the lifeblood of modern business. Every large organization has a CIO, who appreciates the need to invest in big data solutions. There are a lot of companies that offer solutions for data-driven businesses. One of the most popular is Garnter. Gartner is a Reliable Company for Businesses that Need Big Data Solutions. Gartner is an information technology research and advisory company.

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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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Leaders and Top Use Cases in AI: 2021

Dataiku

We launched the Dataiku Frontrunner Awards to celebrate the data science and AI builders who are doing the nitty gritty work to drive the field forward, day in and day out.

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Sales Performance Management: Connecting the dots to xP&A

Jedox

Do you remember when a scanner, printer, copier, and fax machine used to all be separate devices? While that wouldn’t make much sense these days, think about revenue planning, data, and processes. Does it make sense to have a complete separation between your company goals, sales reps targets, and compensation models? In this blog post, we’ll look at how you connect the dots between Sales Performance Management and xP&A.

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A Comprehensive Guide on Using Azure Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The main goal of machine learning is to train models and predict outcomes that can be used by applications. In Azure Machine Learning, we use scripts to train models using machine learning frameworks like Scikit-Learn, Tensorflow, PyTorch, SparkML, and others. In this guide, […].

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Embracing Big Data Technology Makes Traders’ Lives Much Easier

Smart Data Collective

Big data technology has had an enormous impact on many sectors. The financial industry is absolutely no exception. Big data is completely changing the securities trading profession. Modern advances in big data technology, the internet, and the arrival of the digital age have been the driving forces behind a true revolution in the ways we communicate that the world has experienced over recent years.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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DataCamp Donates Digest Q3

DataCamp

In this quarterly digest, we bring you the best news and success stories from DataCamp Donates and our partners—read on to find out more about the good causes your subscription is helping to support!

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Serving the Public Through Data

Cloudera

Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. Forced to adapt to changes in the business landscape and customer behavior, businesses have adopted more digital tools and technologies to drive innovation and increase resilience. . While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as

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Lambda Function – A better understanding

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Greetings! If they are working on a real-time application or a complicated activity, all programmers, regardless of the domain, will come across the phrase function block in coding. So, what this function block will do is make our work easier and more elegant by […]. The post Lambda Function – A better understanding appeared first on Analytics Vidhya.

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The Impact of Artificial Intelligence on Commercial Real Estate: The Ways AI Will Change Things

Smart Data Collective

Artificial Intelligence (AI) is changing the commercial real estate industry by making everything more efficient, accessible, and transparent. Many companies are using AI to analyze their data and make better business decisions. AI can also be used to provide valuable insights into leasing trends, maximize vacancy rates, and forecast future demand. .

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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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Insights, trends, and best practices in driving data transformation, upskilling, and building data cultures

DataCamp

We’ve compiled a list of resources to inform your data transformation, data culture initiative, and data upskilling. Explore these webinars and white papers.

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Closing the Gap Between the Digital Haves and Have-Nots

Cloudera

by Pedro Pereira. The digital race is on. To pull ahead of the pack, a company needs to know what to do with its data. Without a data-driven strategy, you’re bound to lose ground to competitors who apply their data to operational improvements, product development, go-to-market strategies, and the customer experience. It isn’t enough to collect, interpret, and act on the data.

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Graph Neural Network: An Introduction

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction We all heard the term graph, but what is it? Can we develop a neural network out of it, or is it just for representation? We can do all of these. A Graph is nothing but a data structure and contains two elements […]. The post Graph Neural Network: An Introduction appeared first on Analytics Vidhya.

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Using Analytics to Successfully Use Instagram Stories for Your Business

Smart Data Collective

Analytics technology is essential to the success of modern marketing. In the past, marketers had to rely heavily on their gut instinct, because the performance of various strategies was harder to measure. In the digital era, however, data analytics has made it much easier to figure out what strategies perform optimally. Instagram marketing is one of the areas that can be highly dependent on analytics technology.

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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.