Smart Data Collective

APRIL 5, 2022

The data science profession has become highly complex in recent years. Data science companies are taking new initiatives to streamline many of their core functions and minimize some of the more common issues that they face. Data scientists can access remote computing power through sophisticated networks.

IBM Maintenance 307

IBM Maintenance IBM cost IBM Support Artificial Intelligence 307

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Data scientists use algorithms for creating data models. Statistics.

E-Commerce 262

E-Commerce Cloud Computing Big Data Data Modelling 262

Business Analysis Knowledge Share

SEPTEMBER 26, 2023

In the world of project management and software development, understanding the needs and requirements of a project is paramount. This article delves into the art and science of requirements elicitation, offering five proven techniques to ensure your project starts on the right foot. Flexibility: Be prepared to adapt.

Project Management 81

Project Management Requirements Gathering Documentation Business Analysis 81

Tableau

FEBRUARY 14, 2022

As the pandemic has accelerated digital transformation, organizations are successfully deploying and scaling AI projects across more sophisticated, critical scenarios. They had data science groups, they had an AI center of excellence, they had investments, they were developing proof of concepts—trying to figure out the art of the possible.

Chief Data Officer 74

Chief Data Officer Supply Chain Government Data Architecture 74

Tableau

FEBRUARY 14, 2022

As the pandemic has accelerated digital transformation, organizations are successfully deploying and scaling AI projects across more sophisticated, critical scenarios. They had data science groups, they had an AI center of excellence, they had investments, they were developing proof of concepts—trying to figure out the art of the possible.

Chief Data Officer 72

Chief Data Officer Supply Chain Government Data Architecture 72

Smart Data Collective

FEBRUARY 3, 2022

Docker is one of the two most popular DevOps platforms for data scientists. There are a lot of compelling reasons that Docker is becoming very valuable for data scientists and developers. If you are a Data Scientist or Big Data Engineer, you probably find the Data Science environment configuration painful.

Big Data 299

Big Data Agile Planning 299

Sisense

AUGUST 6, 2020

Doing it right can mean the difference between thriving in the new world of data and disappearing from it. Then tailor your approach to leverage your unique data and expertise to excel in those KPI areas. Know the limitations of your existing dataset and answer these questions: What categories of data are there?

Product Management 95

Product Management Product Management Customer Experience Customer Experience 95