CIO Business Intelligence

MAY 21, 2024

Along with code-generating copilots and text-to-image generators, which leverage a combination of LLMs and diffusion processing, LLMs are at the core of most generative AI experimentation in business today. With this model, patients get results almost 80% faster than before.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. So as my tiny gift for you here are five experimentation and testing ideas for you. Rather than create prediction models (with faulty assumptions!) This recession season buy your CEO the gift that keeps giving, a experimentation and testing tool.

Testing 113

Testing Experimentation Risk Optimization 113

Data Science and Beyond

SEPTEMBER 19, 2016

Some people equate predictive modelling with data science, thinking that mastering various machine learning techniques is the key that unlocks the mysteries of the field. However, there is much more to data science than the What and How of predictive modelling. Causality and experimentation.

Data Science 66

Data Science Predictive Modeling Experimentation Deep Learning 66

CIO Business Intelligence

SEPTEMBER 10, 2024

We envisioned harnessing this data through predictive models to gain valuable insights into various aspects of the industry. This included predicting political outcomes, such as potential votes on pipeline extensions, as well as operational issues like predicting the failure of downhole submersible pumps, which can be costly to repair.

IT 122

IT Risk Risk Management Predictive Modeling 122

DataKitchen

JANUARY 17, 2022

The business analysts creating analytics use the process hub to calculate metrics, segment/filter lists, perform predictive modeling, “what if” analysis and other experimentation. Despite the complexity, mission-critical analytics must be delivered error-free under intense deadline pressure. Requirements continually change.

Experimentation 130

Experimentation Data Lake Predictive Modeling Marketing 130

Smarten

DECEMBER 15, 2017

One very important capability is Put n’ Play predictive analysis. Assisted Predictive Modeling and predictive analysis tools should include sophisticated functionality in a simple environment that is easy for every business user.

Predictive Analytics 63

Predictive Analytics Analytics Predictive Modeling Experimentation 63

CIO Business Intelligence

DECEMBER 19, 2024

Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts. This is where machine learning algorithms become indispensable for tasks such as predicting energy loads or modeling climate patterns.

IT 52

IT IoT Machine Learning Optimization 52

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots.

Advertising 124

Advertising Cost-Benefit Experimentation Reporting 124

Data Science and Beyond

JULY 22, 2018

Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. My understanding of data science at the time was heavily influenced by Kaggle and the tech industry.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Ontotext

MAY 31, 2023

To support drug discovery, Ontotext has recently developed a method for gene-disease link prediction, which can help focus research efforts where it would matter most and speed up the drug development process. The link prediction models are based on the so-called Knowledge Graph Embeddings, which relying on knowledge graph technology.

Experimentation 52

Experimentation Cost-Benefit Predictive Modeling Risk 52

Domino Data Lab

JANUARY 11, 2021

Once a model has been developed, the model needs to be productionized either via an app, an API or in this case, writing model scores from the prediction model back into Snowflake so that business analyst end users are able to access predictions via their reporting tools.

Data Science 103

Data Science Recreation/Entertainment Data Warehouse Publishing 103

DataRobot

JANUARY 13, 2022

To move from experimental AI to production-level, trustworthy, and ROI-driven AI, it’s vital to align data scientists, business analysts, domain experts, and business leaders to leverage overlapping expertise from these groups. It’s easy to deploy, monitor, and manage models in production and react to changing conditions.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Cloudera

FEBRUARY 16, 2022

Each time a project is successfully deployed, the trained model is recorded within the Models section of the Projects page. The AMPs framework also supports the promotion of models from the lab into production, a common MLOps task. This might require making batch and individual predictions.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

AWS Big Data

SEPTEMBER 13, 2024

The AWS pay-as-you-go model and the constant pace of innovation in data processing technologies enable CFM to maintain agility and facilitate a steady cadence of trials and experimentation. Resulting datasets are then published to our data mesh service across our organization to allow our scientists to work on prediction models.

Interactive 102

Interactive Strategy Cost-Benefit Data Governance 102

Smarten

NOVEMBER 3, 2017

Empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Data-driven Experimentation Risk 52

DataRobot Blog

JULY 28, 2022

More interesting was the 8th place team’s solution, which used a kalman filter rather than a machine learning model to remove noise, and then added statistical methods to build a robust prediction model, which was extremely simple and powerful.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

O'Reilly on Data

SEPTEMBER 11, 2019

But the database—or, more precisely, the data model —is no longer the sole or, arguably, the primary focus of data engineering. If anything, this focus has shifted to the ML or predictive model. Ironically, this shift is attested by declines in several terms that correspond to (or are synonyms for) data engineering.

IoT 24

IoT Big Data Data Warehouse Uncertainty 24

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. The probability results are also stored in Amazon S3 to continuously retrain the model in SageMaker.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

Domino Data Lab

AUGUST 22, 2019

GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. We waved our finger in the air to select 64, so some experimentation and optimization are warranted at your end if you feel like it. Natural Language Processing.] together at Stanford University.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. For example, by using prediction models, they are able to generate a heatmap to tell drivers where they should place themselves to take advantage of the best demand areas.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataRobot

JANUARY 20, 2022

— Collaborating via Snowflake Data Cloud and DataRobot AI Cloud Platform will enable multiple organizations to build a community movement where experimentation, innovation, and creativity flourish. ICSs can reduce the time taken to build population health registries and predictive models by up to 90 percent.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

Smarten

JULY 3, 2017

Tools like plug n’ play predictive analysis and smart data visualization ensure data democratization and drastically reduce the time and cost of analysis and experimentation.

Visualization 40

Visualization Predictive Modeling Business Intelligence Experimentation 40

CIO Business Intelligence

JANUARY 13, 2025

Shift AI experimentation to real-world value Generative AI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.

Experimentation 140

Experimentation Strategy ROI Digital Transformation 140