O'Reilly on Data

NOVEMBER 18, 2019

. “In computer vision, for example, starting in 2012, those models were essentially open sourced, so a lot of businesses then got into the business of applying those computer vision models for specific use cases, like autonomous tracking vehicles. Then you have pre-trained models you can do transfer learning with.

ROI 167

ROI Unstructured Data Machine Learning Modeling 167

David Menninger's Analyst Perspectives

MAY 6, 2025

Large language models have allowed BI providers to accelerate the delivery of functionality to convert natural language questions into analytic queries and generate summarizations and recommendations from data and charts.

Analytics 130

Analytics Business Intelligence Interactive Data-driven 130

David Menninger's Analyst Perspectives

SEPTEMBER 19, 2024

While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data platform providers to add dedicated functionality for data engineering, including the development, training and tuning of machine learning (ML) and GenAI models.

Data Warehouse 130

Data Warehouse Data Science Modeling Data Governance 130

DataRobot

DECEMBER 12, 2019

Back in 2012, Harvard Business Review called data scientists “the sexiest job of the 21st century.” For one, odds are not in their favor with >90% of AI executives claiming to have problems with model development and deployment. It’s a difficult job for a number of reasons. It’s a difficult job for a number of reasons.

Strategy 19

Strategy Enterprise Modeling Technology 19

CIO Business Intelligence

MAY 28, 2022

The company had offered a freemium model in contrast to MixPanel’s paid service, helping it not only rake up customers but also attract new investors. . The company, which was founded by Spenser Saktes and Curtis Liu in 2012, has raised a total of $336 million with the latest Series F round closing at $150 million in 2021.

Advertising 126

Advertising Forecasting Data Quality Marketing 126

AWS Big Data

JULY 31, 2024

Select Custom trust policy and paste the following policy into the editor: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Principal":{ "Service":"osis-pipelines.amazonaws.com" }, "Action":"sts:AssumeRole" } ] } Choose Next, and then search for and select the collection-pipeline-policy you just created.

Visualization 115

Visualization Dashboards Testing Publishing 115

Cloudera

SEPTEMBER 24, 2021

The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. The Explosion in Telco Big Data: 2012-2017. Let’s examine how we got here. Data governance was completely balkanized, if it existed at all.

Analytics 96

Analytics IoT Cost-Benefit Big Data 96

AWS Big Data

NOVEMBER 29, 2024

This framework acts in a provider-subscriber model to enable data transfers between SAP systems and non-SAP data targets. AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

datapine

JANUARY 6, 2022

In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Prior to 2012, Intel would conduct over 19,000 manufacturing function tests on their chips before they could be deemed acceptable for release.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. In addition to the UI interface, Cloudera Machine Learning exposes a REST API that can be used to programmatically perform operations related to Projects, Jobs, Models, and Applications.

Machine Learning 124

Machine Learning Visualization Data Science Metrics 124

CIO Business Intelligence

MARCH 11, 2022

Last March, IFS launched a new, cloud-native version of its suite of ERP applications with significant extensions for field service management (FSM) and enterprise asset management (EAM), all based on the same data model via its IFS Cloud platform.

Manufacturing 98

Manufacturing Consulting Sales Marketing 98

AWS Big Data

JUNE 10, 2024

Consumer personas – Consumers include data analysts who run queries on the data lake, data scientists who prepare data for machine learning (ML) models and conduct exploratory analysis, as well as downstream systems that run batch jobs on the data within the data lake. compute.internal ). Choose Grant. Choose Submit job run.

Data Lake 117

Data Lake Metadata Data Warehouse Data Processing 117

DataRobot

JUNE 18, 2019

In 2012, DataRobot co-founders Jeremy Achin and Tom de Godoy recognized the profound impact that AI and machine learning could have on organizations, but that there wouldn’t be enough data scientists to meet the demand.

Machine Learning 73

Machine Learning Data Science Optimization Modeling 73

CIO Business Intelligence

MAY 26, 2022

The company had offered a freemium model in contrast to MixPanel’s paid service, helping it not only rake up customers but also attract new investors. . The company, which was founded by Spenser Saktes and Curtis Liu in 2012, has raised a total of $336 million with the latest Series F round closing at $150 million in 2021.

Advertising 104

Advertising Forecasting Data Quality Marketing 104

Sisense

MAY 26, 2020

While training a model for NLP, words not present in the training data commonly appear in the test data. Using the semantic meaning of words it already knows as a base, the model can understand the meanings of words it doesn’t know that appear in test data. Amit Bendov was appointed CEO in July 2012.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

Occam's Razor

JANUARY 2, 2013

Multi-channel attribution was the flavor of the month for every month in 2012. And just as in 2012 magic pills will be scarce, FUD will be plentiful, and vendors will promise the moon. After that if you can't resist the itch, go play with the, now free to everyone, Attribution Modeling Tool in GA. Mobile Devices Report.

Strategy 160

Strategy Analytics Reporting Metrics 160

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. As I was wrapping up my PhD in 2012, I started thinking about my next steps. Things have changed considerably since 2012. What do I actually do here?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

datapine

SEPTEMBER 27, 2022

Some of these ‘structures’ may include putting all the information; for instance, a structure could be about cars, placing them into tables that consist of makes, models, year of manufacture, and color. This piece, published in 2012, offers a step-to-step guide on everything related to SQL.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Insight

JANUARY 16, 2019

Making this belief a reality at Insight In 2012, Insight created a new model for professional education to bridge this gap. Beyond our tuition-free model, we offer need-based scholarships to help cover expenses like transportation and housing. We’re truly committed to supporting our Fellows?—?we

Modeling 56

Modeling Cost-Benefit Finance Optimization 56

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. Simply use SQL statements to create and train SageMaker ML models using your Redshift data and then use these models to make predictions.

Forecasting 98

Forecasting Data Warehouse Machine Learning Modeling 98

AWS Big Data

FEBRUARY 23, 2023

You can add AD users to the respective groups based on your business permissions model. Users in Active Directory can subsequently be added to the groups, providing the ability to assume access to the corresponding roles in AWS. Note that each user must have an email address configured in Active Directory.

Metadata 97

Metadata Dashboards Management Enterprise 97

Data Science and Beyond

JANUARY 11, 2020

My story seems to reflect that: From my first steps in sentiment analysis and topic modelling, through building recommender systems while dabbling in Kaggle competitions and deep learning a few years ago, and to my present-day interest in causal inference. Moving forward in my PhD, I got into topic modelling.

Data Science 103

Data Science Software Machine Learning Deep Learning 103

AWS Big Data

DECEMBER 10, 2024

In the Create function pane, provide the following information: For Select a template , choose v2 Programming Model. For Programming Model , choose the HTTP trigger template. In the function app, choose Overview , then choose Create function in the Functions section. choose Next. Choose Create policy.

Sales 105

Sales Metadata Enterprise Testing 105

CIO Business Intelligence

JUNE 12, 2023

In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. COBIT 2019 Framework: Governance and management objectives: A companion guide that dives into the COBIT Core Model and 40 governance and management objectives.

Risk Management 94

Risk Management Strategy Digital Transformation Enterprise 94

AWS Big Data

JUNE 28, 2023

Create a role in the target account with the following permissions: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Action":[ "redshift:DescribeClusters", "redshift-serverless:ListNamespaces" ], "Resource":[ "*" ] } ] } The role must have the following trust policy, which specifies the target account ID. Choose Create policy.

Data Warehouse 105

Data Warehouse Analytics Metrics Dashboards 105

CIO Business Intelligence

APRIL 15, 2022

Derek Driggs, a machine learning researcher at the University of Cambridge, together with his colleagues, published a paper in Nature Machine Intelligence that explored the use of deep learning models for diagnosing the virus. The paper determined the technique not fit for clinical use. Target analytics violated privacy.

Analytics 145

Analytics Machine Learning Insurance Testing 145

AWS Big Data

SEPTEMBER 26, 2023

Migrating all use cases from one permissions model to another in a single step without disruption was challenging for operations teams. To ease the transition of data lake permissions from an IAM and S3 model to Lake Formation, we’re introducing a hybrid access mode for AWS Glue Data Catalog.

Data Lake 72

Data Lake Metadata Management Modeling 72

Cloudera

NOVEMBER 15, 2021

In other words, structured data has a pre-defined data model , whereas unstructured data doesn’t. . It facilitates AI because, to be useful, many AI models require large amounts of data for training. There is a plethora of efforts to produce models that can learn without labels or with few labels. The challenges of data.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

BizAcuity

NOVEMBER 26, 2019

SSRS is a server-based reporting platform that comes free with SQL Server 2012. It is widely used for modeling and structuring of unshaped data. Migrating SSRS 2012/2014/2016 to Power BI is fine. Two popular options for reporting platforms are SQL Server Reporting Services (SSRS) and Microsoft Power BI. Replacing the server.

Recreation/Entertainment 84

Recreation/Entertainment Reporting Interactive Data Processing 84

Cloudera

AUGUST 17, 2020

This is opening up new revenue opportunities, use cases and even the possibility for different types of business models within the sector, changing the way that CSPs operate. . In many established markets, traditional sources of revenue are either plateauing or declining relatively rapidly. .

IoT 96

IoT Internet of Things B2B Data-driven 96

CIO Business Intelligence

JULY 2, 2022

For example, IDC data shows that 2021 there was a boom in monitor sales, with the highest volume of monitors shipped since 2012, at 143.6 However, a technology upgrade should be on the cards too, because over the past few years, many employees have effectively upgraded their home spaces, and now employees need to do the same in the office.

Statistics 98

Statistics Sales Visualization Interactive 98

CIO Business Intelligence

JULY 5, 2022

For example, IDC data shows that 2021 there was a boom in monitor sales, with the highest volume of monitors shipped since 2012, at 143.6 However, a technology upgrade should be on the cards too, because over the past few years, many employees have effectively upgraded their home spaces, and now employees need to do the same in the office.

Statistics 98

Statistics Sales Visualization Interactive 98

Domino Data Lab

SEPTEMBER 25, 2019

One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with. AR models can be thought of as linear regressions of the current value of the time series against previous values.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

AWS Big Data

APRIL 10, 2024

The PostgreSQL resource model allows you to create multiple databases within a cluster. The newly created Aurora PostgreSQL cluster will be the source for the zero-ETL integration. The next step is to create a named database in Amazon Aurora PostgreSQL for the zero-ETL integration.

Data Warehouse 119

Data Warehouse Analytics Metrics Snapshot 119

Smart Data Collective

OCTOBER 17, 2022

zettabytes in 2012. Reports and models stutter as they try to interpret the massive amounts of data flowing through them. It may conflict with your data governance policy (more on that below), but it may be valuable in establishing a broader view of the data and directing you toward better data sets for your main models.

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

Domino Data Lab

OCTOBER 7, 2020

Statistics developed in the last century are based on probability models (distributions). This model for data analytics has proven highly successful in basic biomedical research and clinical trials. The accuracy of any predictive model approaches 100%. Property 4: The accuracy of any predictive model approaches 100%.

Statistics 145

Statistics Testing Predictive Modeling Big Data 145

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110