David Menninger's Analyst Perspectives

SEPTEMBER 30, 2021

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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Analytics Vidhya

SEPTEMBER 25, 2021

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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Statistics Data Science Publishing Analytics 399

DataKitchen

SEPTEMBER 30, 2021

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

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Jen Stirrup

SEPTEMBER 30, 2021

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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David Menninger's Analyst Perspectives

SEPTEMBER 28, 2021

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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Analytics Vidhya

SEPTEMBER 30, 2021

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 […].

Dashboards 399

Dashboards Data Science Publishing Analytics 399

Dataiku

SEPTEMBER 28, 2021

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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Depict Data Studio

SEPTEMBER 28, 2021

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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Analytics Vidhya

SEPTEMBER 30, 2021

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 Data Collective

SEPTEMBER 30, 2021

Data has become an essential asset for companies everywhere. The financial sector has been one of the most affected industries. By interpreting and analyzing the data, organizations can understand and predict trends, improve security and make data-driven decisions. Big data and the artificial intelligence technologies used to leverage it can go beyond market predictions, and you can use data to improve working processes and optimize your return on investment (ROI).

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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?

Business Intelligence

Dataiku

OCTOBER 1, 2021

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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Jedox

SEPTEMBER 29, 2021

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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Analytics Vidhya

SEPTEMBER 28, 2021

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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Smart Data Collective

SEPTEMBER 30, 2021

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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Data-driven

Dataiku

SEPTEMBER 30, 2021

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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FineReport

SEPTEMBER 28, 2021

Power BI is a highly-rated business intelligence software. It is mainly used for data analysis and decision-making. It works as a helpful instrument to find answers through data for questions raised by businesses. If you are considering learning or using PowerBI, welcome to read this blog post. Here I will conduct a detailed evaluation of Power BI, analyze its advantages and disadvantages, and introduce alternatives to Power BI (useful for Mac users or those with tight budgets).

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Analytics Vidhya

SEPTEMBER 29, 2021

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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Smart Data Collective

SEPTEMBER 30, 2021

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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Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

Dataiku

SEPTEMBER 29, 2021

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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Cloudera

SEPTEMBER 27, 2021

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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Analytics Vidhya

SEPTEMBER 28, 2021

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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Machine Learning Data Science Publishing Modeling 358

Smart Data Collective

SEPTEMBER 28, 2021

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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Software Big Data Data-driven Data Processing 118

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Reporting

Ontotext

SEPTEMBER 27, 2021

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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Management IT 97

DataCamp

OCTOBER 1, 2021

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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Analytics Vidhya

SEPTEMBER 30, 2021

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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Data Science Publishing Analytics IT 355

Smart Data Collective

SEPTEMBER 30, 2021

Artificial intelligence has led to a number of developments in many industries. A growing number of companies are using AI technology to transform many aspects of their workplace. One of the biggest benefits of AI is that it has helped streamline many workplace functions. Many companies are using AI technology to make it easier for employees to work from home.

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Cloudera

SEPTEMBER 29, 2021

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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DataCamp

SEPTEMBER 27, 2021

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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Data Transformation 90

Analytics Vidhya

OCTOBER 1, 2021

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.

Data Science 360

Data Science Publishing Analytics 360

Smart Data Collective

SEPTEMBER 27, 2021

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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Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven