David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management. The platform enables personnel to work with relational databases, Apache Hadoop, Spark and NoSQL databases for cloud or on-premises jobs. Talend data integration software offers an open and scalable architecture and can be integrated with multiple data warehouses, systems and applications to provide a un

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Management Data Warehouse Data Quality Data Integration 324

Analytics Vidhya

NOVEMBER 15, 2021

This article was published as a part of the Data Science Blogathon Table of Contents Introduction About the Dataset Let’s Go 2D Scatter Plot 3D Scatter Plot Pair Plot Histogram Univariate Analysis using PDF CDF Mean, Variance, and Standard Deviation Median, Percentile, Quantile, IQR, MAD Box Plot Violin Plot Multivariate Probability Density Contour Plot Final Note […].

Data Science 399

Data Science Publishing Analytics Visualization 399

DataKitchen

NOVEMBER 18, 2021

For several years now, the elephant in the room has been that data and analytics projects are failing. Gartner estimated that 85% of big data projects fail. Data from New Vantage partners showed that the number of data-driven organizations has actually declined to 24% from 37% several years ago and that only 29% of organizations are achieving transformational outcomes from their data. .

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Testing Data Governance Measurement Software 246

KDnuggets

NOVEMBER 19, 2021

The terms ‘data science’ and ‘machine learning’ are often used interchangeably. But while they are related, there are some glaring differences, so let’s take a look at the differences between the two disciplines, specifically as it relates to programming.

Machine Learning 160

Machine Learning Data Science IT 160

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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

Smart Data Collective

NOVEMBER 17, 2021

More companies than ever are being driven by data. They use a number of important data analytics tools to help implement their functions more efficiently. Unfortunately, big data can be mysterious for many companies. Only 13% of companies with data strategies are meeting the objectives outlined in them. They need to know how to use it effectively to get the most value out of it.

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Consulting Data-driven Big Data Marketing 140

Analytics Vidhya

NOVEMBER 15, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, you will learn how to build a face-recognition system using Python. Face recognition is a step further to face detection. In face detection, we only detect the location of the human face in an image but in face recognition, we […]. The post Build Face Recognition Attendance System using Python appeared first on Analytics Vidhya.

Data Science 399

Data Science Publishing Analytics 399

KDnuggets

NOVEMBER 18, 2021

Natural language processing research and applications are moving forward rapidly. Several trends have emerged on this progress, and point to a future of more exciting possibilities and interesting opportunities in the field.

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Smart Data Collective

NOVEMBER 17, 2021

AI has become incredibly important for the retail sector. This is partly because the industry must take measures to avoid collapsing in the wake of new competition from online retailers. It is believed that the retail sector will irreversibly decline in the future. This is primarily due to the growing popularity of e-commerce. In the U.K., 85,000 jobs disappeared from the retail sector in the first quarter of 2018, and about 30,000 retailers reported financial difficulties.

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Forecasting Machine Learning Sales Consulting 133

Analytics Vidhya

NOVEMBER 17, 2021

This article was published as a part of the Data Science Blogathon Solving Machine learning Problems in a local system is only not the case but making it able to community to use is important otherwise the model is up to you only. When it is able to serve then you came to know the feedback and […]. The post How to Deploy Machine Learning(ML) Model on Android appeared first on Analytics Vidhya.

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Machine Learning Modeling Data Science Publishing 393

Cloudera

NOVEMBER 17, 2021

It’s no secret that Data Scientists have a difficult job. It feels like a lifetime ago that everyone was talking about data science as the sexiest job of the 21st century. Heck, it was so long ago that people were still meeting in person! Today, the sexy is starting to lose its shine. There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012.

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Machine Learning Visualization Data Science Metrics 124

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Data-driven

KDnuggets

NOVEMBER 16, 2021

The field of computer vision has seen the development of very powerful applications leveraging machine learning. These projects will introduce you to these techniques and guide you to more advanced practice to gain a deeper appreciation for the sophistication now available.

Machine Learning 153

Machine Learning 153

Smart Data Collective

NOVEMBER 18, 2021

Big data is no longer a luxury for businesses. It is a vital to any company that wants to succeed in all but the least competitive markets. In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation.

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Data Strategy B2B Strategy Big Data 130

Analytics Vidhya

NOVEMBER 18, 2021

This article was published as a part of the Data Science Blogathon. Introduction to Sankey Diagram for Data Visualization Very often, we are in a situation where we would have to visualize how data flows between entities. For example, let’s take the case of how residents have migrated from one country to another within the […]. The post Here’s How to use Sankey Diagrams for Data Visualization appeared first on Analytics Vidhya.

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Visualization Data Science Publishing Analytics 391

Cloudera

NOVEMBER 19, 2021

We are excited by the endless possibilities of machine learning (ML). We recognise that experimentation is an important component of any enterprise machine learning practice. But, we also know that experimentation alone doesn’t yield business value. Organizations need to usher their ML models out of the lab (i.e., the proof-of-concept phase) and into deployment, which is otherwise known as being “in production”. .

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Machine Learning Modeling Experimentation IT 121

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

KDnuggets

NOVEMBER 17, 2021

We describe types of recommender systems, more specifically, algorithms and methods for content-based systems, collaborative filtering, and hybrid systems.

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Smart Data Collective

NOVEMBER 17, 2021

It’s safe to say that IoT devices have made our lives much easier and more convenient. This new technology has changed the way people conduct their work in the office, but also how they use gadgets at home. The fact that all smart devices in the office or at home can be connected makes life much easier. However, this also exposes those devices to cyber and hacker attacks.

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IoT Internet of Things Manufacturing Management 129

Analytics Vidhya

NOVEMBER 18, 2021

This is article was published as a part of the Data Science Blogathon. Welcome to this wide-ranging article on clustering in data science! There’s a lot to unpack so let’s dive straight in. In this article, we will be discussing what is clustering, why is clustering required, various applications of clustering, a brief about the […].

Data Science 389

Data Science Publishing Analytics Machine Learning 389

Dataiku

NOVEMBER 18, 2021

Many of you reading this will either have first-hand experience with the challenges of achieving data-driven success within financial firms or will have a reasonable concern that such success will not come easily to your organization. It is certainly true that finding actionable insights within your organizations — and then actually taking meaningful action based on those insights — is not a trivial matter.

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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

KDnuggets

NOVEMBER 17, 2021

Faker is a Python library that generates fake data to supplement or take the place of real world data. See how it can be used for data science.

Data Science 159

Data Science IT 159

Smart Data Collective

NOVEMBER 17, 2021

Data analytics is becoming a crucial element of many business strategies. They have found that data analytics is a valuable component of marketing campaigns , financial planning objectives, human resource guidelines and much more. We have talked extensively about the types of industries that have been positively impacted by data analytics. Insurance, investing, logistics and digital marketing are among some of the professions most affected by big data.

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Data Analytics Analytics Advertising Data-driven 128

Analytics Vidhya

NOVEMBER 13, 2021

This article was published as a part of the Data Science Blogathon In this article, I am going to build neural network models with TensorFlow to solve a classification problem. Let’s explore together that how we can approach a classification problem in Tensorflow. But firstly, I would like to make sure that we are able to […]. The post Neural Network For Classification with Tensorflow appeared first on Analytics Vidhya.

Data Science 384

Data Science Publishing Modeling Analytics 384

Cloudera

NOVEMBER 16, 2021

Introduction. With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC) , our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. You can find more information in this release announcement blog post and in this technical deep dive blog post.

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KPI Data-driven IoT Optimization 110

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

KDnuggets

NOVEMBER 19, 2021

Can artificial intelligence be rid of bias? This is an important question, and it’s equally important that we look in the right place for the answer.

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Smart Data Collective

NOVEMBER 19, 2021

Blockchain technology has been a breakthrough technology that has had a huge impact on our lives. The average person doesn’t understand the significance of blockchain, but it is revolutionizing the financial sector. If you are familiar with bitcoin, you probably realize that it was founded on the blockchain network. Blockchain has since been used in countless other applications, such as IP authentication and fraud prevention in the financial sector.

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Risk Risk Management Metrics Marketing 126

Analytics Vidhya

NOVEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction Do you ever wonder how Google assistant, Siri, chatbots in different websites work? The advancement in the field of Natural Language Processing paves the way to different very accurate AI assistants in various fields like medical, defense, management, etc. There are several AI […].

Data Science 373

Data Science Publishing Management Analytics 373

Dataiku

NOVEMBER 19, 2021

14 years ago I (Doug) met with the director of business intelligence at NCR in his old headquarters in Dayton, Ohio. He’d recently finished a BusinessObjects implementation and proudly told me that he had 400 reports in production. I really didn’t have an understanding of that so I asked, “Is that too many or not enough?” It was obvious that he’d never considered the question, as a look of shock came over his face.

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Analytics Business Intelligence Reporting IT 111

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

KDnuggets

NOVEMBER 18, 2021

This is the guide on how to build a serverless data pipeline on AWS with a Machine Learning model deployed as a Sagemaker endpoint.

Machine Learning 158

Machine Learning Modeling 158

Smart Data Collective

NOVEMBER 16, 2021

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources. Text analysis can fulfill multiple roles in the business world.

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Analytics Unstructured Data Data Collection Software 123

Analytics Vidhya

NOVEMBER 15, 2021

Internships, uh?!! Such a stunning word for one of the most difficult tasks. In every industry, there exists a disparity when it comes to internships opportunities and getting into one. Especially in this era where competition is at its peak and opportunities for freshers close to nil. With the data industry evolving and becoming more […]. The post Analytics Vidhya Presents INTERN-A-THON: Your First Step to Enter the Data Science World appeared first on Analytics Vidhya.

Data Science 360

Data Science Analytics IT 360

Dataiku

NOVEMBER 17, 2021

For many years, AI was an experimental risk for companies. Today, AI is not a brand new concept and most enterprises have at least explored AI implementation. As of 2020, 68% of enterprises had used AI, having already adopted AI applications or introduced AI on some level into their business processes. So, where does AI stand moving forward? Recently, Dataiku spoke with Mike Gualtieri, VP & Principal Analyst at Forrester , in “The Future of AI and ROI for the Enterprise, featuring Forrester”

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ROI Enterprise Experimentation Risk 110

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling