Analytics Vidhya

DECEMBER 12, 2022

Introduction Do you know that, for the past 5 years, ‘Data Scientist’ has consistently ranked among the top 3 job professions in the US market? Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started […].

Data Scientist 328

Data Scientist Analytics Analytics Data Analysis 328

AWS Machine Learning Blog

MARCH 7, 2025

This new capability integrates the power of graph data modeling with advanced natural language processing (NLP). She speaks at internal and external conferences such AWS re:Invent, Women in Manufacturing West, YouTube webinars, and GHC 23. In her free time, she likes to go for long runs along the beach.

Analytics 131

Analytics Analytics AWS Natural Language Processing 131

Tableau

MARCH 19, 2024

“I liked working with numbers but I knew that accounting was not really for me, so I signed up for a course in data science which ultimately inspired me to get my Master’s degree in Data Modeling.” “A Following Tableau Ambassadors also helps to grow your Tableau skills.

Tableau 131

Tableau Data Visualization Business Intelligence Business Intelligence 131

Iguazio

JULY 22, 2024

MongoDB for end-to-end AI data management MongoDB Atlas , an integrated suite of data services centered around a multi-cloud NoSQL database, enables developers to unify operational, analytical, and AI data services to streamline building AI-enriched applications. Start implementing gen AI applications in your enterprise today.

AI 132

AI AI ML ML 132

Iguazio

FEBRUARY 20, 2024

To learn more, watch the webinar “Implementing Gen AI for Financial Services” with Larry Lerner, Partner & Global Lead - Banking and Securities Analytics, McKinsey & Company, and Yaron Haviv, Co-founder and CTO, Iguazio (acquired by McKinsey), which this blog post is based on. View the entire webinar here.

AI 52

AI AI Data Pipeline Analytics 52

Iguazio

MAY 21, 2024

This blog post is based on a webinar with Ehud Barnea, PhD, Head of AI at Tasq. Gen AI Reference Architecture Following Established ML Lifecycles Building generative AI applications requires four main elements: Data management - Ingesting , preparing and indexing the data.

AI 59

AI AI ML ML 59

Tableau

DECEMBER 7, 2022

As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. . Harmonize your customer data into a unified view by mapping data sources into shared data models in Genie. Optimize recruiting pipelines.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Tableau

DECEMBER 7, 2022

As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. . Harmonize your customer data into a unified view by mapping data sources into shared data models in Genie. Optimize recruiting pipelines.

Tableau 98

Tableau Data Warehouse Data Pipeline Data Visualization 98

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

AWS Machine Learning Blog

JUNE 27, 2023

By enabling effective management of the ML lifecycle, MLOps can help account for various alterations in data, models, and concepts that the development of real-time image recognition applications is associated with. At-scale, real-time image recognition is a complex technical problem that also requires the implementation of MLOps.

ML 125

ML ML AWS Machine Learning 125

ODSC - Open Data Science

JANUARY 11, 2024

Getting Started with AI in High-Risk Industries, How to Become a Data Engineer, and Query-Driven Data Modeling How To Get Started With Building AI in High-Risk Industries This guide will get you started building AI in your organization with ease, axing unnecessary jargon and fluff, so you can start today.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Hacker News

MAY 22, 2023

1 But inevitably, starting a new project involves lots of meetings with business stakeholders to hash out initial requirements and canonical data models. Check out Mauro Servienti’s blog series on ViewModel composition or his webinar All our aggregates are wrong 12 to learn more. ? We all love building greenfield projects.

Database 123

Database Data Modeling Data Models 123

Pickl AI

SEPTEMBER 20, 2024

Both databases are designed to handle large volumes of data, but they cater to different use cases and exhibit distinct architectural designs. Key Features of Apache Cassandra Scalability: Cassandra can scale horizontally by adding more servers to accommodate growing data needs. What is Apache Cassandra?

Database 52

Database Clustering Data Modeling Data Models 52

ODSC - Open Data Science

MAY 10, 2023

Feature engineering of tabular data demands considerable manual effort, making tabular data preparation even more dependent on luck or the data scientist’s skill set. One might say that tabular data modeling is the original data-centric AI!

Data Scientist 87

Data Scientist Data Science Deep Learning Deep Learning 87

IBM Journey to AI blog

AUGUST 6, 2024

Shadow data, shadow models, shadow AI With gen AI as the new gold rush nowadays, various stakeholders in the organization can easily expose it to unmanaged risk linked with unsanctioned data, models, and overall use of AI. The same can happen with plaintext, or any other unprotected data that should be better guarded.

AI 85

AI AI Data Governance Data Modeling 85

Iguazio

MAY 29, 2024

The most common tools in use are Prometheus and Grafana Alerting, based on logs, infra, or ML monitoring outputs ML specific monitoring Experiment tracking: Parameters, models, results, etc. This means you can use a very simple voice activity detector model to determine when each person is speaking.

Data Pipeline 104

Data Pipeline AI AI ML 104

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Alation

FEBRUARY 13, 2020

A key finding of the survey is that the ability to find data contributes greatly to the success of BI initiatives. In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata. Subscribe to Alation's Blog.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

ODSC - Open Data Science

NOVEMBER 21, 2024

The Top AI Slides from ODSC West 2024 This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.

Data Science 40

Data Science Database AI AI 40

Tableau

DECEMBER 7, 2022

As you ingest and integrate data, the customer graph uses AI modeling to map relationships between data points and allows them to be consumed together. Harmonize your customer data into a unified view by mapping data sources into shared data models in Data Cloud.

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55

Heartbeat

OCTOBER 5, 2023

This is where the world of operations steps in, and while MLOps (Machine Learning Operations) has been a guiding light, a new paradigm is emerging — LLMOps (Large Language Model Operations). Model Optimization and Compression: More efficient techniques will emerge to reduce computational resources needed for model training.

ML 52

ML ML Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Model Evaluation and Tuning After building a Machine Learning model, it is crucial to evaluate its performance to ensure it generalises well to new, unseen data. Model evaluation and tuning involve several techniques to assess and optimise model accuracy and reliability.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Alation

FEBRUARY 17, 2023

Some software packages will do this with a glossary of terms, and other software packages may do this with a domain structure, and some may even have a fully segregated data model, which may be a little tougher to work with depending on the architecture. This is a very good thing. Curious to hear from the author?

Data Governance 52

Data Governance Data Quality Data Analyst Data Pipeline 52

ODSC - Open Data Science

APRIL 10, 2025

30% Off ODSC East, Dimensional Data Modeling, Mental Health Datasets, and Python Virtual Environments Dimensional Data Modeling in the Modern Era: A Timeless Blueprint for Data Architecture This article discusses the enduring value of dimensional data modeling and why its more relevant than ever in todays fragmented, fast-moving data landscape.

Data Modeling 52

Data Modeling Data Models Python Data Science 52

Iguazio

MARCH 20, 2025

To see the complete conversation and dive into their insights, watch the webinar here. See the webinar for more Gartner trends. Watch the webinar to see. Watch the webinar to see how leading enterprises are navigating this transformation. What Gen AI Trends is Gartner Seeing? AI Agents and multi-agent systems.

AI 59

AI AI Data Pipeline Data Scientist 59

Data Science Dojo

APRIL 3, 2025

You must ensure continuous governance and security of your AI models and systems to prevent bias, data leaks, or any unauthorized AI interactions. Learn more: [link] Request a personalized demo: [link] You can also view our webinar on building safe enterprise AI systems as you learn more about it.

AI 195

AI AI Data Pipeline Data Preparation 195