Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Data Science 101

JUNE 3, 2019

Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations.

Data Science 96

Data Science Machine Learning Modeling Software 96

Smart Data Collective

MARCH 27, 2020

Insurance companies have access to stats on what make and model of car is stolen more often or involved in more crashes. For instance, the 2000 Honda Civic is the most stolen car in America and the Mitsubishi Mirage (in the 2013-2017 model range) has the most fatal crashes. Telematics.

Insurance 137

Insurance Measurement Risk Cost-Benefit 137

Smart Data Collective

FEBRUARY 4, 2020

Current R&D Models Provide Diminishing Returns. In a report on the failure rates of drug discovery efforts between 2013 and 2015, Richard K. Now, picture the same process using heuristic models, machine vision, and artificial intelligence. Artificial intelligence can help us take better care of those we’ve left behind.

Experimentation 115

Experimentation Testing Modeling Strategy 115

CIO Business Intelligence

MAY 28, 2024

OpenAI is setting up a new governance body to oversee the safety and security of its AI models, as it embarks on the development of a successor to GPT-4. The first task for the OpenAI Board’s new Safety and Security Committee will be to evaluate the processes and safeguards around how the company develops future models.

Risk 116

Risk Risk Management Consulting Modeling 116

Smart Data Collective

SEPTEMBER 17, 2020

A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. The Underlying Concept.

Big Data 145

Big Data Finance Risk Management Risk 145

CIO Business Intelligence

MARCH 5, 2024

India’s Ministry of Electronics and Information Technology (MeitY) has caused consternation with its stern reminder to makers and users of large language models (LLMs) of their obligations under the country’s IT Act, after Google’s Gemini model was prompted to make derogatory remarks about Indian Prime Minister Narendra Modi.

Testing 128

Testing Modeling Cost-Benefit Reporting 128

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. It’s difficult to retrain models frequently from scratch for new data.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

CIO Business Intelligence

SEPTEMBER 4, 2024

SSI), which he co-founded with Daniel Gross, co-founder of the search engine company Cue (acquired by Apple in 2013), and Daniel Levy, a former OpenAI researcher. He went on to say that the company’s business model “means safety, security and progress are all insulated from short-term commercial pressures.

Modeling 98

Modeling Technology Reporting Marketing 98

Smart Data Collective

JULY 28, 2022

There are a number of factors that can contribute to sudden changes in Bitcoin’s price that machine learning developers need to incorporate into their pricing models. Vankhede isn’t the only one that has developed predictive analytics models to predict bitcoin prices.

Predictive Analytics 145

Predictive Analytics Analytics Forecasting Machine Learning 145

Smart Data Collective

JANUARY 26, 2021

Sometimes big data models can look at which keywords and topics are trending on social media and, as translation company Tomedes points out, that can involve multiple languages. Even by 2013, 90% of the data in the world had been generated within the previous two years. It’s overwhelming just how fast our data is growing.

Data Architecture 141

Data Architecture Big Data Data Strategy Data-driven 141

Edwin Chen

AUGUST 14, 2014

This is where propensity modeling, or other techniques of causal inference, comes into play. Propensity Modeling. So suppose we want to model the effect of drinking Soylent using a propensity model technique. Propensity modeling , then, is a simplification of this twin matching procedure. What do we do?

Modeling 75

Modeling Measurement Sales Testing 75

Occam's Razor

JANUARY 2, 2013

It will be the same in 2013. Even if you never get into the mess of attribution modeling and all that other craziness, you are much smarter by just analyzing the data, and implications, from at this report. After that if you can't resist the itch, go play with the, now free to everyone, Attribution Modeling Tool in GA.

Strategy 160

Strategy Analytics Reporting Metrics 160

Ms SQL Girl

MARCH 30, 2016

It’s been a long time since I wrote an article on Tabular Model. In this article, I want to show you how to connect to your Tabular Model database and use it as the underlying model for either Pivot Table, Pivot Chart, or Power View. Connecting to Tabular Model in Excel. i.e. Pivot Table, Pivot Chart or Power View.

Modeling 40

Modeling Visualization IT Business Intelligence 40

Ms SQL Girl

MARCH 30, 2016

It’s been a long time since I wrote an article on Tabular Model. In this article, I want to show you how to connect to your Tabular Model database and use it as the underlying model for either Pivot Table, Pivot Chart, or Power View. Connecting to Tabular Model in Excel. i.e. Pivot Table, Pivot Chart or Power View.

Modeling 40

Modeling Visualization IT Business Intelligence 40

CIO Business Intelligence

FEBRUARY 10, 2023

Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud. “We spent about a year and a half going through several bottlenecks, taking them out one at a time with Amazon engineers. And now we’re in a good place,” he says.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

AWS Big Data

JULY 11, 2024

In this blog post, we propose a solution based on Amazon OpenSearch Service for similarity search and the pretrained model ProtT5-XL-UniRef50 , which we will use to generate embeddings. ProtT5-XL-UniRef50 is based on the t5-3b model and was pretrained on a large corpus of protein sequences in a self-supervised fashion.

Machine Learning 105

Machine Learning Modeling Data Processing Testing 105

IBM Big Data Hub

OCTOBER 19, 2023

In 2013, Landmark Retail’s financial planning and analysis team faced challenges as they managed financial processes across more than 1200 stores. Their business model was very complex, and it required massive data volumes to be processed. Because of this, the budgeting process was inefficient.

Forecasting 91

Forecasting Data-driven Business Analysis Sales 91

Smart Data Collective

JUNE 18, 2021

The Challenge offers an opportunity for contestants to win prize money totaling over $700,000 for their development of a recidivism forecasting model using data provided by NIJ. The Challenge uses data from the State of Georgia about persons released from prison to parole supervision for the period January 1, 2013, through December 31, 2015.

Predictive Analytics 93

Predictive Analytics Forecasting Analytics Big Data 93

CIO Business Intelligence

MAY 4, 2022

In fact, it has been available since 2013. After adopting the MITRE ATT&CK as their common language and model for describing attacks and attackers, the critical infrastructure organization’s security team can now translate between operational aspects of security and the potential impact of a successful attack.

Measurement 105

Measurement Visualization Marketing Testing 105

Jet Global

AUGUST 4, 2023

Excel 2013 is 1.8, Excel 2013 is 1.9) Excel 2013 is 1.8, Excel 2013 is 1.9) Excel 2013 is 1.8, Excel 2013 is 1.9) Excel 2013 is 1.8, Excel 2013 is 1.9) Excel 2013 is 1.8, Excel 2013 is 1.9) Excel 2013 is 1.8, Excel 2013 is 1.9)

Modeling 52

Modeling IT Analytics 52

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Don't worry about attribution modeling yet. For more guidance see the LTV post and download the lifetime value model.]. Look at the colors. Look at the icons. Beat Motrin.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

CIO Business Intelligence

APRIL 4, 2024

The good news is that you can ask any of the large language models (LLMs) like ChatGPT to rewrite paragraphs or sections for improved comprehension or make it more concise. Delete old data I lived in Hong Kong 2008-2013 and one of my most pleasurable weekends was a trip to see an incredible band at the MGM hotel in Macau.

Cost-Benefit 98

Cost-Benefit Data Governance Testing Modeling 98

Occam's Razor

SEPTEMBER 21, 2015

First, someone worked really hard on this and created a really nice model for a smarter decision to be made for 2014. Second, between 2012 and 2013. When I present it, I'll say something like "Our peak investment, in Aquantive in 2013, was 700k." You are a Ninja, it will likely take you less. Rest is irrelevant.

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

The Data Visualisation Catalogue

JANUARY 24, 2022

Mapping shifting hierarchical and regional tendencies in an urban network through alluvial diagrams (2013). Bayesian Modelling of Alluvial Diagram Complexity (2021). This is the first piece of research that empirically assesses, quantifies, and models the complexity of Alluvial Diagrams to aid in improving their effectiveness.

Visualization 84

Visualization Reporting Modeling IT 84

Domino Data Lab

DECEMBER 1, 2019

This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent degradation in production. Introduction: preventing silent model degradation in production. This article explores an approach that can be used to detect data drift for models that classify/score image data.

Machine Learning 77

Machine Learning Modeling Deep Learning Testing 77

CIO Business Intelligence

AUGUST 12, 2022

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. We’re very much focused on the commercialization of acquisitions, making sure we don’t break the deal models and that things are running as they should be,” says John Stevens, vice president of IT at Thermo Fisher. in 2016, and BD Advanced Bioprocessing in 2018.

IT 105

IT Data Lake Sales Machine Learning 105

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 96

Forecasting Data Warehouse Machine Learning Modeling 96

AWS Big Data

FEBRUARY 1, 2024

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. Next, we use Amazon SageMaker JumpStart to fine-tune the Llama 2 model with the preprocessed dataset.

Metadata 118

Metadata Modeling Data Processing Unstructured Data 118

CIO Business Intelligence

SEPTEMBER 15, 2022

Among other accolades, he was named Consumer Goods Technology’s 2013 CIO of the Year and was the 2021 recipient of the Bay Area CIO of the Year ORBIE award for Leadership. Along the way, Loura has been recognized time and again as an inspiring, transformational CIO whose innovative approaches create real business value.

Uncertainty 105

Uncertainty Marketing Modeling Technology 105

Sisense

JUNE 8, 2020

As a result, many organizations are able to join external data to their own data in real time to forecast business impacts, predict supply and demand , apply models, and aggregate to predict the spread of the virus. This builds reusable artifacts that power ad hoc analysis, and also serves that data into reporting to send to teams and models.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

CIO Business Intelligence

MARCH 13, 2023

It may surprise some that the platform has seen shipment increases since 2013, Rutten adds. They know that they need the mainframe, modernize on the platform, integrate it with the rest of their data center, run it as a hybrid cloud, and take advantage of the new consumption-based pricing models for the platform,” he says.

Digital Transformation 98

Digital Transformation Strategy Interactive Management 98

Occam's Razor

OCTOBER 14, 2014

See step four in the process for creating your Digital Marketing and Measurement Model.]. This recommendation also valuable for companies that have very unique business models, or face other unusual circumstances (geographic, size, amount of innovation, and many others). See Page 269. :). So how can you use your own data?

Key Performance Indicator 135

Key Performance Indicator Metrics Reporting Marketing 135

AWS Big Data

JULY 25, 2023

OpenSearch Serverless overview and tenancy model options OpenSearch Service managed domains provided a stable foundation for Alcion’s search functionality, but the team needed to manually provision resources to the domains for their peak workload. This allowed Alcion to focus on optimizing the tenancy model for the new search architecture.

Cost-Benefit 89

Cost-Benefit Modeling Management Optimization 89

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

Ontotext

DECEMBER 2, 2021

In 2013, actually, with SPARQL 1.1. Ontotext Platform allows you to define a simple model of your data – or to generate it from your pre-existent ontology. This model would contain a number of objects such as Report, Drone, Inspection, Building, etc. SPARQL federation. That does not mean that it cannot visualize data.

Visualization 98

Visualization Interactive Dashboards Enterprise 98

CIO Business Intelligence

MAY 18, 2023

By defining team types, their fundamental interactions, and the science behind them, you learn how to better model your organizations according to these definitions. “It gives the fundamental patterns for achieving fast flow,” he says. “By The CEO demands that Bill deliver the project in 90 days.

IT 130

IT Recreation/Entertainment Software Technology 130