Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. The approach they’ve used applies to other popular data science APIs such as NumPy , Tensorflow , and so on.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Smarten

MAY 11, 2017

Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science. Smarten provides solid support for data democratization and the transformation of business users to Citizen Data Scientists.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

CIO Business Intelligence

JUNE 22, 2022

Since 2017, the foundation has been developing and implementing digital initiatives such as the ASEAN Data Science Explorers, ASEAN Digital Innovation Programme, ASEAN Online Safety Academy, ASEAN Cybersecurity Skilling Programme, and ASEAN Digital Literacy Programme.

Data Science 94

Data Science Technology IT 94

Smarten

JANUARY 3, 2019

Citizen Analysts (AKA Citizen Data Scientists) represent a new breed of business user. Enter, the Citizen Analyst! What is a Citizen Analyst? ’ Clearly, Citizen Analysts are here to stay!

Business Intelligence 40

Business Intelligence Statistics Interactive Reporting 40

Peter James Thomas

AUGUST 13, 2018

Between November and December 2017, I published the three parts of my Anatomy of a Data Function. Eight months is a long time in the data arena and I have now issued an update. Change Data Science to Data Science / Engineering in order to better reflect the continuing evolution of this area.

Data Science 42

Data Science Publishing Analytics IT 42

CIO Business Intelligence

JULY 20, 2022

The 2022 State of the CIO research confirmed talent acquisition and retention strategies are a key issue for CIOs, cited by 38% of respondents, with cybersecurity skills, data science/analytics, and artificial intelligence (AI) and machine learning (ML) in top demand.

IT 136

IT Software Cost-Benefit Strategy 136

Jedox

JULY 17, 2018

This is where the latest innovation and technical capabilities in Business Intelligence and Enterprise Performance Management software come into play. Introducing the Jedox AI engine for business intelligence and enterprise performance management. Forbes 2018, 10 Predictions For AI, Big Data, And Analytics in 2018.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Jen Stirrup

APRIL 2, 2019

For example, over at Data Relish, we mix mature Business Intelligence technologies with new and upcoming technology, Artificial Intelligence is enjoying rapid growth (Xiong, 2019). to 3.9% (UK Government, 2017). Harvard business Review , 86(1), pp.25-40. UK Government 2017, Executive Summary.

Marketing 59

Marketing Advertising Data-driven Strategy 59

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

AWS Big Data

AUGUST 7, 2023

As the following diagram demonstrates, Amazon Redshift will call Forecast, and data needed for Forecast model creation and training will be pushed from Amazon Redshift to Forecast through Amazon Simple Storage Service (Amazon S3). to create forecast tables and visualize the data. In our case, we use Amazon Redshift Query Editor v2.0

Forecasting 81

Forecasting Data Warehouse Machine Learning Modeling 81

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Rita Sallam

AUGUST 17, 2016

For the past couple of years, Gartner has been describing the next wave of BI market disruption, smart data discovery, which Beyondcore has pioneered (along with IBM Watson Analytics, SparkBeyond and DataRPM). About 1/3 rd of Platfora’s existing (relatively small) customer base is also a Workday customer.

Scorecard 40

Scorecard Visualization Sales Marketing 40

Peter James Thomas

AUGUST 12, 2018

Why Business Intelligence projects fail” (2009). Ideas for avoiding Big Data failures and for dealing with them if they happen (2017). From: peterjamesthomas.com , home of The Data and Analytics Dictionary , The Anatomy of a Data Function and A Brief History of Databases.

Metrics 49

Metrics Statistics Data Quality Measurement 49

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The refrain has been repeated ever since.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Cloudera

DECEMBER 7, 2017

At Cloudera, we call that better way the Shared Data Experience (SDX.) We announced SDX at Strata New York in September 2017. Now we are releasing the reference architecture for you build your own self-managed SDX foundation for all your cloud-based data and analytics applications.

Management 40

Management Cost-Benefit Machine Learning Metadata 40

Smarten

APRIL 24, 2019

Let’s take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world. Think of it this way: Augmented Analytics automates data insight using machine learning and natural language generation. It automates data preparation and allows for easy data sharing.

Business Intelligence 0

Business Intelligence Analytics IT Metrics 0

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

FEBRUARY 13, 2020

He further notes, “Data catalogs have become key components of data governance, master data management, self-service analytics and self-service data preparation offerings… They also help support the identification and discovery of data to fuel machine learning and other data science projects.”.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52