CIO Business Intelligence

JANUARY 17, 2024

To do this, Ipsos uses large language models to generate cutting-edge insights built using AI capabilities, complemented by its data science models and tailored to the services it offers,” says Mohammed. Technological base Ipsos considers digital transformation a strategic priority for its continued growth and competitiveness. “We

Digital Transformation 119

Digital Transformation Dashboards Reporting Data Science 119

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smarten

OCTOBER 13, 2022

Listen to the Experts: Citizen Data Scientist Results are Real! Gartner has predicted that, ‘a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.’

Data Science 52

Data Science Statistics Consulting Machine Learning 52

Smarten

MAY 31, 2022

The augmented analytics solution your business chooses must have a complete set of predictive analytical techniques with built-in, sophisticated algorithms and tools that are easy to use and will guide the user to choose the right predictive analytical technique for the data they are analyzing. Descriptive Statistics. Forecasting.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

IBM Big Data Hub

AUGUST 7, 2023

Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

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. Introduction.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Data Science and Beyond

JULY 22, 2018

I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks.

Modeling 226

Modeling Machine Learning Predictive Modeling Consulting 226

Domino Data Lab

AUGUST 9, 2021

With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation. In general terms, a model is a series of algorithms that can solve problems when given appropriate data. It’s most helpful in analyzing structured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

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.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. In conferences and research publications, there is a lot of excitement these days about machine learning methods and forecast automation that can scale across many time series.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

MAY 26, 2022

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. Is there a model that can provide the necessary results?

Machine Learning 145

Machine Learning Modeling Data-driven Dashboards 145

CIO Business Intelligence

MAY 28, 2022

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems. Is there a model that can provide the necessary results?

Machine Learning 143

Machine Learning Modeling Data-driven Dashboards 143

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. This comes down to model risk management.

Modeling 64

Modeling IT Risk Management Deep Learning 64

O'Reilly on Data

FEBRUARY 11, 2020

Just 20% of organizations publish data provenance and data lineage. Adopting AI can help data quality. Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Can AI be a catalyst for improved data quality?

Data Quality 311

Data Quality Metadata Data Governance Publishing 311

datapine

AUGUST 29, 2022

James Warren, on the other part, is a successful analytics architect with a background in machine learning and scientific computing. 5) Data Analytics Made Accessible, by Dr. Anil Maheshwari. Best for : the new intern who has no idea what data science even means. The author, Anil Maheshwari, Ph.D.,

Big Data 263

Big Data Data Analytics Analytics Data mining 263

FineReport

JULY 18, 2022

Key features: As a professional data analysis tool, FineBI successfully meets business people’s flexible and changeable data processing requirements through self-service datasets. FineBI is supported by a high-performance Spider engine to extract, calculate and analyze a large volume of data with lightweight architecture.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins also indicated that data science, data engineering, and data analysis are different groups at The New York Times. Data science. Session Summary.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. Welcome back to our monthly series about data science! After a data science conference, our marketing group wanted to follow-up by surveying 300 attendees from industry.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Cloudera

NOVEMBER 30, 2017

But with an ever-growing amount of data it has never been more complicated to make sense of which data sets and which behaviors should be most important to us. . TDWI Research is a leading research and consulting firm that focuses on broadening the knowledge and success of BI professionals worldwide. TDWI Research.

Strategy 40

Strategy Big Data Data mining Visualization 40

BI-Survey

JANUARY 29, 2023

For many organizations, modern technology around machine learning (ML) and the cloud, as well as its growing ease of use, offer a great opportunity for optimization. These tools are suitable for implementing a wide range of use cases that are highly individualized and sophisticated.

Forecasting 52

Forecasting Predictive Modeling Measurement Finance 52

DataRobot

DECEMBER 8, 2021

As noted in this report from Forrester®, “four out of five global data and analytics decision makers say that their firms want to become more data-driven and perform more advanced predictive analytics and artificial intelligence projects. Traditional statistics simply don’t work on this scale. Marketing Mix Optimization.

Customer Analytics 97

Customer Analytics Analytics Data-driven Advertising 97

Andrew White

JANUARY 11, 2021

As with any good consulting response, “it depends.” Do you recommend a consulting approach strategy rather than a CDO strategy? As such a head of analytics, BI and data science may emerge. Many data science labs are set up as shared services. ex : we help you to improve your performances ! ? It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52