Analytics Vidhya

JANUARY 17, 2022

Overview In this article, I will walk you through the layers of the Data Platform Architecture. First of all, let’s understand what is a Layer, a layer represents a serviceable part that performs a precise job or set of tasks in the data platform. The different layers of the data platform architecture that we are […]. The post Layers of the Data Platform Architecture appeared first on Analytics Vidhya.

Analytics 379

Analytics Data Collection Data Science 379

DataKitchen

JANUARY 17, 2022

The post A busy year ahead in low-code and no-code development first appeared on DataKitchen.

276

276

Smart Data Collective

JANUARY 19, 2022

Artificial intelligence technology is becoming more valuable than ever. The market was estimated to be worth over $50 billion by the end of 2020 and is growing around 20% a year. One of the biggest reasons AI is growing in popularity is due to its role in mobile app design. There are a lot of things that have to be taken into consideration with mobile app design.

Publishing 130

Publishing Technology Interactive Forecasting 130

David Menninger's Analyst Perspectives

JANUARY 21, 2022

Organizations today have huge volumes of data across various cloud and on-premises systems which keep growing by the second. To derive value from this data, organizations must query the data regularly and share insights with relevant teams and departments. Automating this process using natural language processing (NLP) and artificial intelligence and machine learning (AI/ML) enables line-of-business personnel to query the data faster, generate reports themselves without depending on IT, and make

Analytics 130

Analytics Machine Learning Visualization Reporting 130

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. In this article, we are going to analyze the Zero-crossing rates (ZCRs) of different music genre tracks. This post is inspired by Valerio Valerdo’s work. I highly encourage you to check out his Youtube channel for his outstanding work in the field of ML/DL […]. The post Analysis of Zero Crossing Rates of Different Music Genre Tracks appeared first on Analytics Vidhya.

Data Science 398

Data Science Publishing Analytics Deep Learning 398

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. The DataKitchen DataOps Platform provides a way to extend Matillion’s powerful cloud-native data integrations with DataOps capabilities that span the heterogeneous tools environments characteristic of large enterprises.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

TDAN

JANUARY 18, 2022

Imagine what it would be like if your data was perfect. By perfect I mean fit for use and high quality. By perfect I mean that the people in your organization have confidence in the data to use it for effective decision making and to focus on building efficiency and effectiveness through data into your […].

Data Quality 145

Data Quality IT Data Governance Metadata 145

Analytics Vidhya

JANUARY 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction A few days ago, I came across a question on “Quora” that boiled down to: “How can I learn Natural Language Processing in just only four months?” Then I began to write a brief response. Still, it quickly snowballed into a detailed explanation […].

Data Science 393

Data Science Publishing Analytics Deep Learning 393

Smart Data Collective

JANUARY 17, 2022

Did you know that global businesses are expected to spend $274 billion on big data this year? That figure is projected to grow at a rapid pace for years to come. The healthcare sector, in particular, has discovered a number of benefits of leveraging data technology. There are a lot of reasons that big data can be useful for healthcare businesses of all sizes.

Data Collection 132

Data Collection Big Data Insurance Cost-Benefit 132

KDnuggets

JANUARY 19, 2022

The landscape of programming languages is rich and expanding, which can make it tricky to focus on just one or another for your career. We highlight some of the most popular languages that are modern, widely used, and come with loads of packages or libraries that will help you be more productive and efficient in your work.

IT 160

IT 160

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Dataiku

JANUARY 21, 2022

This is a blog post from our friends at Morgan Hill and Pine Tree. Morgan Hill is a team comprising ex-CIO’s of multinational businesses, finance professionals, hedge fund managers, data analysts, data scientists, and systems architects, with hundreds of years of experience in delivering solutions to financial markets and to industry, both using advanced algorithm-based technology.

Finance 105

Finance Marketing Technology Management 105

Analytics Vidhya

JANUARY 15, 2022

This article was published as a part of the Data Science Blogathon. Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario. In trying to achieve […]. The post Overview of MLOps With Open Source Tools appeared first on Analytics Vidhya.

Predictive Modeling 393

Predictive Modeling Data Science Publishing Modeling 393

Sisense

JANUARY 20, 2022

Blog. You already know how infusing analytics into your daily apps and workflows has boosted performance and opened up insights to making smarter, better decisions. Now, product decision makers say they’ve found that providing data analytics to their customers enhances the value of their products. In a new Harris Poll study commissioned by Sisense, product decision makers overwhelmingly (93%) report that providing customized and personalized analytics to customers, at the point of decision, woul

Analytics 98

Analytics Software Reporting Dashboards 98

KDnuggets

JANUARY 15, 2022

In our first weekly roundup of data science nuggets from around the web, check out a list of curated articles on Kaggle datasets, Python debugging tools, what it is data scientists do, an overview of YOLO, 2-dimensional PyTorch tensors, and the secrets of machine learning deployment.

Data Science 158

Data Science Machine Learning IT 158

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.

Testing

Dataiku

JANUARY 18, 2022

So, you want to change your company culture to be more data driven and use AI everyday. You want to get advanced analytics beyond the Center of Excellence (or what one of my customers call the RSPD, Really Smart People Department, and another calls the bottleneck) and into all your business units and business functions. This article discusses how executives can use price and demand to increase AI development.

Data-driven 98

Data-driven Analytics 98

Analytics Vidhya

JANUARY 21, 2022

This article was published as a part of the Data Science Blogathon. Hey Guys, Hope you all are doing well. In this article, we will be learning how you can develop and deploy an image classifier using flask. Like my other articles, this article will give you hands-on experience with code and at the end of […]. The post Develop and Deploy Image Classifier using Flask: Part 1 appeared first on Analytics Vidhya.

Data Science 359

Data Science Publishing Analytics 359

TDAN

JANUARY 18, 2022

Data Accuracy is one of the so-called “dimensions” of Data Quality. The goal for these dimensions, and it is a noble one, is so we can measure each of them, and should deficiencies be found then there should be a uniform set of best practices that we can implement. Of course, these best practices will differ from […].

Data Quality 98

Data Quality Measurement IT Data Strategy 98

KDnuggets

JANUARY 17, 2022

In this article, Eric Siegel summarizes the recent KDnuggets poll results and argues that the pervasive failure of ML projects comes from a lack of prudent leadership. He also argues that MLops is not the fundamental missing ingredient – instead, an effective ML leadership practice must be the dog that wags the model-integration tail.

Machine Learning 155

Machine Learning Modeling 155

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IT

Smart Data Collective

JANUARY 19, 2022

Big data is extremely important in the marketing profession. This is supported by the fact that companies around the world will be spending over $4.6 billion on marketing analytics by 2026. A growing number of companies are using data analytics to better understand the mindset of their customers, provide better customer service , forecast industry trends and identify the ROI of various marketing strategies.

Consulting 94

Consulting Data-driven Marketing Strategy 94

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction According to the Bureau of Labor Statistics, the job outlook for computer and information research scientists, data scientists is projected to grow by at least 19 per cent by 2026. Data is collected and processed in every company regardless of the domain. Data […].

Statistics 368

Statistics Data Science Publishing Analytics 368

TDAN

JANUARY 18, 2022

Whether you’re stepping into a new organization as a data lead or trying to overhaul your data infrastructure, the first step in the process is to understand how your organization currently uses data. While that may sound simple, it can be an intimidating process to start. This is the beginning of a series of articles […].

Data Quality 96

Data Quality IT Data Strategy Strategy 96

KDnuggets

JANUARY 17, 2022

Also: Top Five SQL Window Functions You Should Know For Data Science Interviews; A Deep Look Into 13 Data Scientist Roles and Their Responsibilities; SQL Interview Questions for Experienced Professionals; Why Do Machine Learning Models Die In Silence?

Data Science 156

Data Science Machine Learning Modeling 156

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.

Management

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. In Ryan’s “9-Step Process for Better Data Quality” he discussed the processes for generating data that business leaders consider trustworthy.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Boosting is a key topic in machine learning. Numerous analysts are perplexed by the meaning of this phrase. As a result, in this article, we are going to define and explain Machine Learning boosting. With the help of “boosting,” machine learning models are […].

Machine Learning 345

Machine Learning Data Science Publishing Modeling 345

TDAN

JANUARY 18, 2022

Picture this scene: It is a little after 5 p.m. on a Friday and a chat message pops up from my “favorite” application programmer. Something isn’t working properly. Yes, that is the message. “Something” isn’t working properly. That’s all. “OK,” I say. “What are you trying to do—give me a bit more detail so I […].

Data Architecture 94

Data Architecture IT Business Intelligence Big Data 94

KDnuggets

JANUARY 21, 2022

Your first job is always going to be frightening. You will feel anxious and nervous to speak your own opinion. I will go through a few points that I believe everybody should incorporate into their work and personal life.

Data Science 155

Data Science 155

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.

Customer Analytics

Cloudera

JANUARY 18, 2022

Each year, the Cloudera Data Impact Awards recognize organizations that have accomplished amazing things with innovative data solutions. . For 2021, the awards will include a new category: People First. Entrants in this category were asked to demonstrate how they have addressed the world’s “most difficult workplace and societal challenges” with solutions aimed at transforming work culture and society as a whole.

Data Lake 92

Data Lake Digital Transformation Data-driven Dashboards 92

Analytics Vidhya

JANUARY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction We all know how popular the Python programming language is amongst Machine learning enthusiasts. So, once a machine learning model is ready, the next step is to deploy it to be used efficiently. But for deployment, there are various frameworks in Python that […]. The post Which is Better for Machine Learning: Flask vs Django?

Machine Learning 345

Machine Learning Data Science Publishing Modeling 345

Juice Analytics

JANUARY 18, 2022

Customer reporting is one of the most under-appreciated touch-points that service and solution companies have. Whether it is a weekly status update or a performance dashboard, reporting can be an opportunity to demonstrate expertise and value. Unfortunately, it is often treated as the “ dark matter of analytics ” (It is everywhere, holding the data universe together, yet it manages to elude our attention and affection).

Reporting 88

Reporting Metrics Dashboards Testing 88

KDnuggets

JANUARY 17, 2022

Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.

Data Quality 147

Data Quality Data Science 147

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Strategy