Ontotext

JANUARY 21, 2021

The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies. Introduction.

Modeling 72

Modeling Finance Technology Insurance 72

Peter James Thomas

AUGUST 30, 2018

The rather famous tautology, “It’s déjà vu all over again”, has of course been ascribed to that darling of malapropisms, baseball catcher Yogi Berra [1]. Based on Kaggle’s State of Data Science Survey 2017 (Sample size: 10,153). Dirty Data. Lack of Data Science talent in the organization.

Data Science 75

Data Science Data Quality Machine Learning Business Intelligence 75

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. for beginning study in data science?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Data Science and Beyond

OCTOBER 15, 2017

Aspiring data scientists and other visitors to this site often repeat the same questions. How do I become a data scientist? Before we get into it, have you thought about why you want to become a data scientist? Why should I become a data scientist? Do you know what data science is? It depends on your situation.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. Current signals from usage on the O’Reilly online learning platform reveal: Python is preeminent. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. Coincidence? Security is surging.

Data-driven 335

Data-driven Software Statistics Marketing 335

CIO Business Intelligence

APRIL 10, 2024

So another option for tech pros and their managers is to focus more on people skills instead. But he emphasizes that doesn’t mean technical skills are going to become less important. That can soon become difficult however, since AI systems seem to be doubling in capability every three to six months.

Consulting 133

Consulting Technology Management Software 133

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. You can of course listen and watch the webinar from this link. It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. What’s the reality? Many AI adopters are still in the early stages.

Enterprise 269

Enterprise Modeling Testing Reporting 269

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Preprocessing Natural Language Data. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Smart Data Collective

NOVEMBER 8, 2020

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available. billion by 2025. Learn Programming.

Big Data 81

Big Data Data Science Data-driven Data Processing 81