Thu.Aug 19, 2021

article thumbnail

Why Data Mesh Needs Data Virtualization

Data Virtualization

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical. The post Why Data Mesh Needs Data Virtualization appeared first on Data Virtualization blog.

article thumbnail

Computer Vision and How It is Shaping the World Around Us

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Since the initial breakthrough in Computer Vision achieved by A. Krizhevsky. The post Computer Vision and How It is Shaping the World Around Us appeared first on Analytics Vidhya.

IT 377
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Implementing a Pharma Data Mesh using DataOps

DataKitchen

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space. For those embarking on the data mesh journey, it may be helpful to discuss a real-world example and the lessons learned from an actual data mesh implementation.

article thumbnail

Exploratory Data Analysis and Visualization Techniques in Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Photo by fauxels from Pexels What is Exploratory Data Analysis? Exploratory. The post Exploratory Data Analysis and Visualization Techniques in Data Science appeared first on Analytics Vidhya.

article thumbnail

Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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.

article thumbnail

4 Ways Conversational AI Is Improving the Customer Experience

DataKitchen

The post 4 Ways Conversational AI Is Improving the Customer Experience first appeared on DataKitchen.

246
246
article thumbnail

A friendly guide to NLP: Text pre-processing with Python Example

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This is the first post of the NLP tutorial series. The post A friendly guide to NLP: Text pre-processing with Python Example appeared first on Analytics Vidhya.

More Trending

article thumbnail

A friendly guide to NLP: Bag-of-Words with Python example

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon This is the second post of the NLP tutorial series. The post A friendly guide to NLP: Bag-of-Words with Python example appeared first on Analytics Vidhya.

article thumbnail

The Growing Role of Analytics in Product Development

Smart Data Collective

Data is an important part of any business, including areas that focus on product development. With data, you can analyze it and then incorporate your findings into the development stages of the product’s creation. As such, you end up with a final product that is a lot more effective than it would be without that influence of analysis. The results of data analysis can take some time, hence why it’s important to introduce this as early on as possible to ensure peak performance.

Analytics 125
article thumbnail

Beginner’s Guide To Text Classification Using PyCaret

Analytics Vidhya

ArticleVideo Book Introduction Have you ever solved a Machine Learning problem in just one go? Solving a problem using machine learning isn’t straightforward. It. The post Beginner’s Guide To Text Classification Using PyCaret appeared first on Analytics Vidhya.

article thumbnail

CBAP certification: A high-profile credential for business analysts

CIO Business Intelligence

The Certified Business Analysis Professional (CBAP) is a credential for business analysts offered by the International Institute of Business Analysis (IIBA). IIBA is a nonprofit professional association founded in 2003 to promote the field of business analysis. The organization describes CBAP as a credential that “recognizes seasoned BA professionals who have over five years of practical business analysis work experience.

article thumbnail

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.

article thumbnail

Hands-On Stock Price Time Series Forecasting using Deep Convolutional Networks

Analytics Vidhya

ArticleVideo Book Written by: Avinash Kumar Pandey (Research Associate, ISB Hyderabad) Introduction: In this article, we will learn how to apply deep convolutional networks. The post Hands-On Stock Price Time Series Forecasting using Deep Convolutional Networks appeared first on Analytics Vidhya.

article thumbnail

Why Data Mesh Needs Data Virtualization

Data Virtualization

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical. The post Why Data Mesh Needs Data Virtualization appeared first on Data Virtualization blog.

article thumbnail

Complete guide on How to learn Scikit-Learn for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon 1.Introduction SciPy Toolkits or scikits are used widely for machine learning. The post Complete guide on How to learn Scikit-Learn for Data Science appeared first on Analytics Vidhya.

article thumbnail

GraphDB Users Ask: How to size the GraphDB cluster? Are resources shared across workers? What are the master requirements?

Ontotext

ONTOTEXT ANSWER: There comes a point in an application’s life when it must scale. And that brings about the natural worries related to it. No need to panic, though. Just read on! First of all, you need to consider that there are two models of clustering. First, there’s sharding or partitioning. In this setup, all nodes in the cluster hold a part of the data.

article thumbnail

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.

article thumbnail

Grab Your Knapsack! Let’s Construct an NBA Roster

Dataiku

In this series, we explore constructing a fantasy sports roster as an example use case of an organization having to optimally allocate resources. In the first part , we introduced the topic of optimization in enterprise contexts and began building an end-to-end solution with data exploration and predictive analytics. We are now ready to explore how to solve an optimization problem called the Knapsack Problem to construct a strong roster using our predictions.

article thumbnail

Business Objects Dashboard: Unleash The Potential of Business Units

FineReport

Are you confused in the messy report numbers? Have you ever heard complaints from business departments about unclear indicators? Use business objects dashboard, and then these problems won’t surround you anymore. What is business objects dashboard? Business objects dashboard is the collection of reports and charts. It aims to provide business analysis and decision-making reference to companies in the form of a dashboard through the use of a business intelligence system.

article thumbnail

Learn How to Navigate the Stormy Seas of Business With Advanced Technology

Decision Management Solutions

With all the changes, challenges, and turbulence in the world today, the importance of good decision making has never been greater. Organizations need to find ways to navigate optimally through these times so they can survive and thrive. Cutting-edge technologies can vastly improve business outcomes and allow for adaptability, flexibility, and insight into the best course of action for an organization.

article thumbnail

How Telcos are Driving the Connected Economy

Teradata

The rich treasure trove of Teclo-derived data, specifically digital payments data, can be utilized to influence and predict business outcomes. Find out more.

52
article thumbnail

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.

article thumbnail

Evolve Your Company with Embedded BI

Sisense

Blog. Every company is becoming a data company, and the ability to harness data and analytics separates industry leaders from the rest of the pack. Customers are demanding actionable intelligence in the applications, products, and services they use daily, and companies of all kinds are scrambling to give it to them. Savvy product leaders know they need to equip their users with robust insights derived from analyzed data, but building these features from scratch can be a daunting undertaking.

ROI 98