O'Reilly on Data

MAY 11, 2020

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Session Summary. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

DataKitchen

JANUARY 20, 2021

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Test data management and other functions provided ‘as a service’ .

Metrics 243

Metrics Experimentation Measurement Testing 243

CIO Business Intelligence

FEBRUARY 7, 2024

Stephen Franchetti, CIO of Samsara, a fleet management SaaS provider that went public in 2021, believes the only way to optimize your AI strategy (or any emerging technology strategy, in fact) is with a bottoms-up approach. We’ve seen an ongoing iteration of experimentation with a number of promising pilots in production,” he says.

KPI 96

KPI Measurement Experimentation Finance 96

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 82

Machine Learning Modeling Metadata Recreation/Entertainment 82

CIO Business Intelligence

JUNE 14, 2023

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. They can also transform the data, create data models, visualize data, and share assets by using Power BI. The number of data analytics certs is expanding rapidly.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Domino Data Lab

SEPTEMBER 10, 2020

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant. This means many projects get stuck in endless research and experimentation.

Modeling 101

Modeling IT Data Science Experimentation 101

CIO Business Intelligence

NOVEMBER 13, 2023

Because of this, IT leaders must take a proactive approach to change management , communicating the benefits of digital transformation and providing support and training to employees. Foster a culture of innovation: Digital transformation requires innovation and experimentation, and thus a culture for embracing new technologies and ideas.

Digital Transformation 142

Digital Transformation Cost-Benefit Experimentation Measurement 142

DataKitchen

APRIL 13, 2021

Sandbox Creation and Management. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. Sandbox Creation and Management.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

MARCH 12, 2024

The maturity of any development organization can easily be measured in terms of the size and type of investment made in QA,” he says. Software and coding development remain a high-value area for experimentation, in addition to content development and knowledge management, in an effort to boost operational efficiencies,” he says.

Software 131

Software Experimentation Testing Cost-Benefit 131

Domino Data Lab

NOVEMBER 14, 2019

Model interpretability continues to spark public discourse among industry. We have covered model interpretability previously, including a proposed definition of machine learning (ML) interpretability. Yet there are tradeoffs to consider when selecting a model. Errors like these may occur when the model is being constructed.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

IBM Big Data Hub

MARCH 4, 2024

Figure 2: ROI potential by transforming into an AI+ enterprise Organizations with high data maturity that embed an AI+ transformation model into the enterprise fabric and culture can generate up to 2.6 Consider the following: Do you need a public foundation model? times higher ROI. Should you build your own? If so, where will it run?

Enterprise 108

Enterprise ROI Risk Strategy 108

AWS Big Data

JANUARY 9, 2024

Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Semantic search In semantic search, the search engine uses an ML model to encode text or other media (such as images and videos) from the source documents as a dense vector in a high-dimensional vector space.

Cost-Benefit 91

Cost-Benefit Visualization Modeling Machine Learning 91

Alation

DECEMBER 20, 2022

To remain relevant, organizations seek “ digital transformation ,” a business philosophy steeped in change and in which technology plays a heavy hand supporting business models and value propositions. Failing to measure the impact of digital transformation against corporate strategies and OKRs. Management and leadership.

Digital Transformation 96

Digital Transformation Scorecard Measurement Experimentation 96

Occam's Razor

AUGUST 12, 2013

than multi-channel attribution modeling. By the time you are done with this post you'll have complete knowledge of what's ugly and bad when it comes to attribution modeling. You'll know how to use the good model, even if it is far from perfect. Multi-Channel Attribution Models. Linear Attribution Model.

Modeling 161

Modeling Optimization Marketing Interactive 161

AWS Big Data

AUGUST 21, 2023

For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. If you are interested in exploring the multi-modal model, please reach out to your AWS specialist. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

Data Processing 90

Data Processing Experimentation Visualization Metrics 90

Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). Examples: Cars, Trucks, Taxis. See [link]. Industry 4.0 2) Roomba (vacuums your house). (3)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Corinium

JUNE 6, 2019

Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

DataRobot

JULY 27, 2021

Last fall, I penned a blog post around our Series F funding, focused on the fact that the era of experimental AI is over. AI needs to be a core part of every company’s strategy and culture, as well as a top company initiative with a focus on measurable results tied to value. . billion models on our cloud platform.

Machine Learning 98

Machine Learning Experimentation Modeling Forecasting 98

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says. Taking a different road is okay,’’ adds Marchand, who is also executive managing director of Merative, formerly IBM Watson Health. Recognize innovation starts and ends with people.

Experimentation 131

Experimentation Consulting Technology Machine Learning 131

CIO Business Intelligence

OCTOBER 18, 2023

Of roughly 2,500 CIOs surveyed recently by Gartner, 9% say they have already deployed gen AI applications, and a staggering 55% say they will deploy large language models (LLMs) in production by the end of 2025. Snap, LexisNexis, and Lonely Planet are also developing and training LLM models, each leveraging their own data stored on AWS. “We

Risk 138

Risk Manufacturing Enterprise Technology 138

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Clear measurement and monitoring of results. The Innovation Pipeline includes analytics development, QA, deployment and the rest of the change management processes for the Value Pipeline. Measure success.

Testing 157

Testing Dashboards Measurement Experimentation 157

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

Insight

MARCH 12, 2020

Much like the challenge faced by hiring managers, literary agents can receive thousands of pitches every year, and there is no easy way to triage them. 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.

Modeling 59

Modeling Metadata Publishing Sales 59

DataRobot Blog

AUGUST 10, 2022

NHS organisations are used to using workforce KPIs to manage staffing levels, but the real opportunity is being able to identify staff that are at risk of leaving post and to implement strategies to retain their much needed talent. Enabling population health management and reducing health inequalities.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Cloudera

APRIL 26, 2023

With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. These include data recovery service, quota management, node harvesting, optimizing TCO, and more. Can you achieve similar outcomes with your on-premises data platform? You absolutely can.

Cost-Benefit 63

Cost-Benefit Optimization Experimentation Machine Learning 63

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. AI Opportunities Generative AI is the basis for sophisticated AI models such as ChatGPT and Dall-E. Conversations suggest that AI is already transforming most major industries.

Advertising 94

Advertising Recreation/Entertainment Experimentation Enterprise 94

CIO Business Intelligence

AUGUST 17, 2023

Another experienced IT leader, David Ivell, chief product and technology officer at behavior management training company Team Teach, is already harnessing generative AI’s power. Jon Cosson, head of IT and CISO at wealth management firm JM Finn, recalls asking ChatGPT for his own biography.

Risk 96

Risk Cost-Benefit Strategy Experimentation 96

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

Jedox

SEPTEMBER 11, 2019

Experimental” Technology. Is AI truly experimental technology? Just a few years ago, you had to purchase expensive hardware and software and hire a data scientist to build a model that today is most likely available “out of the box.” In most cases, the answer is no. ” Common FP&A Use Cases.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

Occam's Razor

AUGUST 13, 2012

Yehoshua Coren: Best ways to measure user behavior in a multi-touch, multi-device digital world. Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. What's possible to measure. What's not possible to measure. Let's do this!

Modeling 124

Modeling Metrics Data Quality Data-driven 124

The Unofficial Google Data Science Blog

JANUARY 16, 2018

Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. With A/B testing, we can validate various hypotheses and measure the impact of our product changes, allowing us to make better decisions.

Testing 58

Testing Experimentation Measurement Modeling 58

Ontotext

NOVEMBER 2, 2023

However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight. And while there is a great deal of experimentation underway, most organizations have only scratched the surface in a use-case-by-use-case fashion.

IT 69

IT Cost-Benefit Data-driven Technology 69

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

JUNE 28, 2023

Key to managing expectations and garnering buy-in is assuring that generative AI, for the most part, will augment and enhance—not replace—human capabilities. Experimentation with a use case driven approach. By that measure, you will indeed have done better than you thought. Building the right mindset is key.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

Ontotext

APRIL 3, 2024

So, this is a big driver for the outcome because when you are saving money for the business, you can measure it and see its value. Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. How do I make sure I can manage risk?” Maybe later.

Technology 59

Technology Risk Digital Transformation Measurement 59