Loxz Digital | 03/08/2023
With Loxz Digital's smart workflows, machine learning meets business efficiency. Discover how our predictive algorithmic platform helps automate and optimize workflows for maximum efficiency and productivity
Loxz Digital | 03/08/2023
With Loxz Digital, you can unlock the power of machine learning to drive incremental value. Learn about our comprehenisve approach to model sustainabiliy and model optimization.
Loxz Digital | 03/08/2023
Unlock the power of hyper-localized insights to drive business growth with ML. Learn about our model stack and model sustainability and how it can help you make more intelligent decisions.
Loxz Digital | 03/08/2023
Stay ahead of the curve with Loxz Digital's guide to real-time machine learning. Discover how our realitme predictive algorithmic platform ensures informed decisions to achieve your business objectives in real-time.
Loxz Digital | 03/08/2023
At Loxz Digital, we believe in the power of engagement to drive business growth. Learn about the different ways you can interact with our model portfolio and begin sharing insights with your subscribers.
Buwani Manuweera, Data Scientist | 03/04/2023
In this 10-page report, we are presenting version 1.12 of our Sentiment Analysis Model, which includes several new features to improve its accuracy and usefulness. The current version expands on an already comprehensive tool for analyzing and generating text with the desired tone. It includes new features such as tone modalities, tone sliders, generative text, Loxz Recommended tone, and region-based tone intensities. The incorporation of an LLM further enhances the model as a valuable asset for anyone looking to optimize their communication strategy.
Ryan Peng, Lead Data Scientist | 02/14/2023
The January 2023 CPI report utilizes an LTSM model that is capable of analyzing large datasets, detecting patterns, and forecasting inflation rates and core CPI. The model's performance is continually evaluated and optimized to maintain its high accuracy. The current confidence level of this model is 95%. This model utilizes historical data and trends and also includes datasets from the St. Louis Fed to generate accurate predictions. Our economic reports, which we release one or two days prior to the government's monthly reports provide insights and may be particularly useful for economists who want an early read on inflation data.
Ryan Peng, Lead Data Scientist | 02/14/2023
In this 28-page Machine Learning Readiness report, Duy Anh Dang one of our Data Science Interns and our Lead Data Scientist Ryan Peng, articulate their thoughts on identifying #ModelHubs, the robust investments in #GenerativeAI, #SmartFactories, Machine Learning as a Service along with a special section identifying trends over the next 10 years by Andrew Ng. This report will be uploaded to our resources.loxz.com app over the weekend.
Buwani Manuweera, Data Scientist | 01/28/2023
Choosing a specific font for a targeted email is an important task for any email campaign. Based on the targeted group, you need to consider the font style, size, and many other properties so the users feel included and comfortable reading the content. The Loxz Font Optimization Model helps you determine the best possible font properties for your emails in a particular industry and a campaign type. We apply the Random Forest algorithm for predictions in this model and it achieves the highest accuracy of 84.98% and provides three recommendations that will increase the current engagement rate.
Ryan Peng, Lead Data Scientist | 01/14/2023
The Consumer Price Index (CPI) is a measure of the change in the price of a basket of goods and services consumed by households. It is commonly used as a measure of inflation, as it reflects the changing purchasing power of consumers. LSTM networks can potentially be used for predicting changes in the CPI over time. In this case, the input to the LSTM network would be a sequence of past CPI values, and the output would be a predicted future CPI value. The LSTM network can then be trained using supervised learning, where the training data includes both the input and the known correct output.
Miu Lun (Andy) Lau | 01/12/2023
The Consumer Price Index (CPI) is a measure of the change in the price of a basket of goods and services consumed by households. It is commonly used as a measure of inflation, as it reflects the changing purchasing power of consumers. LSTM networks can potentially be used for predicting changes in the CPI over time. In this case, the input to the LSTM network would be a sequence of past CPI values, and the output would be a predicted future CPI value. The LSTM network can then be trained using supervised learning, where the training data includes both the input and the known correct output.
Miu Lun (Andy) Lau | 11/16/2022
Our Q3 2022 MLR Report dives into popular Frameworks, IDEs, transformers including Generative AI. We are seeing investors gravitate toward Generative AI, as the next frontier in ML.
Buwani Manuweera | 9/10/2022
The Call to Action Model provides real-time predictive analytics for specific call-to-action buttons included in the email campaign prior to deploying it, in order to improve the engagement rate based color and text of the CTA. These predictions are served to the campaign engineer in milliseconds upon run, to optimize the CTAs in the email campaign prior to deployment.
Justin Chase | Chen Song
| 11/5/2021
This third quarter report provides a comprehensive
overview of the Loxz Digital Machine Learning Readiness
Survey, methodological considerations around our
innovative sub-scores, and essential insights - including
industry trends across the machine learning lifecycle from
our latest wave of data collection.
Justin Chase | 10/18/2021
Never underestimate taking a bird’s eye view. In this
15-page report, we introduce the use of sub-scores in the
Machine Learning Lifecycle which can provide the most
comprehensive overview when determining your company’s ML
readiness. The report is designed to be a pre-cursor to
our Q3, 2021 Report.
By Jeffery Ott |
8/8/2022
The model is a two-part model, meaning during the first step, the
text from email is parsed and loaded into our sentiment model.
Part one is a BERT model, which analyzes the text in a bidirectional
format and returns a multi-label classification of 8 different tones.
These tones will evolve over time and subsequent builds of the
model can be tested with different tones based on client
requirements.
Miu Lun (Andy) Lau | Chen Song |
07/21/2022
This model is the first model designed for Law Enforcement. It
seeks to serve predicts future potential locations for gunfire.
Using data from ShotSpotter API, this spatio-temporal model
uses data from audio sensing equipment and immediately
retrains the model to serve new locations where future gunshots
will be fired.
Buwani Manuweera | 07/11/2022
The Discount Optimization model is developed to provide
predictive analytics on product discounts offered in email
campaigns. The model provides predictions on an email
campaign for the selected esmail engagement metrics as
well as recommendations on how to optimize the discounts
in emails in order to maximize the specified targeted
campaign metrics.
Miu Lun (Andy) Lau
| 06/10/2022
The goal of this ML model is to provide RealTime
Predictive Analytics on the recommended images to provide
accurate email engagement metrics and timely feedback for
email related marketing campaigns. We utilizes an
automotive image dataset and generate additional images
using data augmentation technique and pipeline. This
particular prediction model utilizes the CNN image based
ResNet model, and we performed transfer learning using the
existing parameters and weights from an ImageNet dataset.
