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. Catalyzing change.

IT 105

IT Data Lake Sales Machine Learning 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

AWS Big Data

MARCH 13, 2024

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. Each service implements k-nearest neighbor (k-NN) or approximate nearest neighbor (ANN) algorithms and distance metrics to calculate similarity. You can track metrics from here. Waiting for connections.

Data Processing 123

Data Processing Dashboards Machine Learning Metrics 123

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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 90

Forecasting Data Warehouse Machine Learning Modeling 90

IBM Big Data Hub

OCTOBER 16, 2023

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Gartner predicts that 90% of global enterprises will use containerized applications and one in five apps will run in containers by 2026, as CIO reported.

Dashboards 71

Dashboards Data Processing Metrics Cost-Benefit 71

Domino Data Lab

APRIL 21, 2021

We’ll use a gradient boosting technique via XGBoost to create a model and I’ll walk you through steps you can take to avoid overfitting and build a model that is fit for purpose and ready for production. from sklearn import metrics. from sklearn import metrics. Data Ingestion & Exploratory Data Analysis.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

AWS Big Data

JULY 25, 2023

As their workload evolved, Alcion engineers tracked OpenSearch domain utilization via the provided Amazon CloudWatch metrics, making changes to increase storage and optimize their compute resources. This allowed Alcion to focus on optimizing the tenancy model for the new search architecture.

Cost-Benefit 80

Cost-Benefit Modeling Management Optimization 80

DMBS2

MAY 20, 2018

Multiple kinds of data model are viable … … but it’s usually helpful to be able to do some kind of JOIN. My two central examples have long been inaccurate metrics and false-positive alerts. Data(base) management technology is progressing pretty much as I expected. That ties into a number of areas of interest.

Internet of Things 50

Internet of Things Predictive Analytics Metrics Enterprise 50

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. And he demonstrated how the Periscope Data platform overcomes the challenges of huge data volumes that can’t be easily modeled by traditional BI.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Occam's Razor

APRIL 15, 2019

Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics). They bring up that one time in 2013 when your analysis missed an important assumption. You know my Care-Do-Impact model for analysis and storytelling.

Measurement 80

Measurement Strategy Data Processing Uncertainty 80

O'Reilly on Data

APRIL 23, 2024

But in 2013 and 2014, it remained stuck at 83% , and while in the ten years since, it has reached 95% , it had become clear that the easy money that came from acquiring more users was ending. Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model.

Advertising 334

Advertising Cost-Benefit Marketing Risk 334

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). Bonus: Facebook Marketing: Best Metrics, ROI, Business Value ]. Don't worry about attribution modeling yet. Look at the colors. Look at the icons. Beat Motrin. Inform Me.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Occam's Razor

AUGUST 9, 2016

Along the way I'll share some of my favourite metrics and analytics best practices that should accelerate your path to becoming a true Analysis Ninja. Gain Attribution Modeling Savvy. You can also search for other stuff, like custom reports or attribution models. Jump-Start Your Learning. Another tip. That's ok.

Analytics 110

Analytics Metrics Reporting Strategy 110

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

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

Occam's Razor

APRIL 29, 2013

[A benchmark for you: In 2013 if 30% of your time, Ms./Mr. Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. It is a really good metric. They get you fired.

Marketing 166

Marketing Metrics Advertising Measurement 166

IBM Big Data Hub

FEBRUARY 22, 2024

Earning trust in the outputs of AI models is a sociotechnical challenge that requires a sociotechnical solution. There must be a concerted effort to make these principles a reality through consideration of the functional and non-functional requirements in the models and the governance systems around those models.

Metadata 91

Metadata Measurement Risk Modeling 91

Jet Global

MAY 1, 2023

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Pricing model: The pricing scale is dependent on several factors.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. More relevant to the AIgent is Google’s BERT model, a task-agnostic (i.e. an aspiring author?—?finished

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

DECEMBER 18, 2024

in previous years and the lowest since 2013. Continuous learning was one of the key performance metrics we were measured on. Fast forward to 2014, when I joined IBM as an associate partner in their Innovation Practice for Natural Resources, focusing on Cognitive (Watson IBMs version of AI and deep learning models).

Deep Learning 98

Deep Learning Interactive Reporting Digital Transformation 98

CIO Business Intelligence

JANUARY 2, 2025

An enterprise architecture road map that shows the current state of enterprise technology, how it is protected with a zero trust architecture, progress metrics on planned projects, and high-level views of business processes provides a good framework on which to select measures.

Reporting 52

Reporting Technology Enterprise Cost-Benefit 52