O'Reilly on Data

SEPTEMBER 15, 2020

This in turn would increase the platform’s value for users and thus increase engagement, which would result in more eyes to see and interact with ads, which would mean better ROI on ad spend for customers, which would then achieve the goal of increased revenue and customer retention (for business stakeholders).

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

CIO Business Intelligence

JANUARY 21, 2025

With traditional OCR and AI models, you might get 60% straight-through processing, 70% if youre lucky, but now generative AI solves all of the edge cases, and your processing rates go up to 99%, Beckley says. Even simple use cases had exceptions requiring business process outsourcing (BPO) or internal data processing teams to manage.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

MARCH 5, 2025

Two years of experimentation may have given rise to several valuable use cases for gen AI , but during the same period, IT leaders have also learned that the new, fast-evolving technology isnt something to jump into blindly. Make sure you know if they use predictive versus generative models. But its a data point to consider.

Testing 99

Testing Measurement Technology Experimentation 99

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype. Not all of them require a unique front-end.

Data Science 117

Data Science Enterprise Experimentation Machine Learning 117

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,…). Chatbots cannot hold long, continuing human interaction. See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. It is also important to have a strong test and learn culture to encourage rapid experimentation.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Occam's Razor

AUGUST 13, 2012

Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. I explain three different models (Online to Store, Across Multiple Devices, Across Digital Channels) and for each I've highlighted: 1. What's possible to measure.

Modeling 125

Modeling Metrics Data Quality Data-driven 125

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. Let’s start with the models.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

AUGUST 20, 2024

Our mental models of what constitutes a high-performance team have evolved considerably over the past five years. Post-pandemic, high-performance teams excelled at remote and hybrid working models, were more empathetic to individual needs, and leveraged automation to reduce manual work.

IT 141

IT Digital Transformation Experimentation Risk 141

CIO Business Intelligence

MAY 9, 2024

And because generative AI (genAI) is interactive and dialogue-based, it can help you get into a state of flow. Experimentation drives momentum: How do we maximize the value of a given technology? Via experimentation. AI changes the game. If the C-suite’s role is to lead by influence, the SWAT team’s role is to lead by execution.

Enterprise 122

Enterprise Experimentation Sales Manufacturing 122

DataRobot Blog

JANUARY 10, 2023

Most, if not all, machine learning (ML) models in production today were born in notebooks before they were put into production. Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

JUNE 13, 2024

Proof that even the most rigid of organizations are willing to explore generative AI arrived this week when the US Department of the Air Force (DAF) launched an experimental initiative aimed at Guardians, Airmen, civilian employees, and contractors. It is not training the model, nor are responses refined based on any user inputs.

Testing 119

Testing Experimentation Data Processing Modeling 119

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling.

Modeling 63

Modeling Experimentation Knowledge Discovery KDD 63

datapine

FEBRUARY 4, 2020

While your keyboard is burning and your fingers try to keep up with your brain and comprehend all the data you’re writing about, using an interactive online data visualization tool to set specific time parameters or goals you’ve been tracking can bring a lot of saved time and, consequently, a lot of saved money. 1) Marketing CMO report.

Reporting 280

Reporting Marketing Advertising Metrics 280

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

CIO Business Intelligence

JULY 31, 2024

This year, however, Salesforce has accelerated its agenda, integrating much of its recent work with large language models (LLMs) and machine learning into a low-code tool called Einstein 1 Studio. Einstein 1 Studio is a set of low-code tools to create, customize, and embed AI models in Salesforce workflows. What is Einstein 1 Studio?

Data Lake 119

Data Lake IT Sales Experimentation 119

CIO Business Intelligence

SEPTEMBER 12, 2024

Generative AI models can perpetuate and amplify biases in training data when constructing output. Models can produce material that may infringe on copyrights. If not properly trained, these models can replicate code that may violate licensing terms.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

DataRobot

MARCH 10, 2021

In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers. Deploy the machine learning model into production.

Machine Learning 145

Machine Learning Experimentation Key Performance Indicator Reporting 145

Occam's Razor

APRIL 8, 2013

Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. Another way to find the metric you want to change is to look at your business model. The business model also tells you what the metric should be.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

The Data Visualisation Catalogue

DECEMBER 13, 2021

A Model of Perceptual Task Effort for Bar Charts and its Role in Recognizing Intention. User Modeling and User-Adapted Interaction , 16(1), 1–30. Journal of Experimental Psychology: Applied, 4 (2), 119–138. Four Experiments on the Perception of Bar Charts. Setlur, V., & Anand, A. Carberry, S., & Hoffman, J.

Visualization 121

Visualization Experimentation Publishing Interactive 121

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

MAY 10, 2024

Ray Bellucci, head of recordkeeping and chief administrative officer for retirement solutions at TIAA, says JSOC is already having an impact, making it easier to identify complexities in TIAA participants interactions so the company’s customer agents can proactively address their challenges. This is the most complex ecosystem I have seen.”

Machine Learning 116

Machine Learning Experimentation Digital Transformation Modeling 116

CIO Business Intelligence

MAY 31, 2022

A more recent phenomenon, the metaverse, will transform how businesses interact with customers, how work is done, what products and services companies offer, how they make and distribute them, and how they operate their organizations. We need to learn to interact in a way that promotes trust, specifically in the metaverse.

Technology 116

Technology Interactive Experimentation IoT 116

CIO Business Intelligence

FEBRUARY 1, 2024

These include capturing clinical encounters and summarising interactions such as past medical histories and health recommendations, providing patients with tailored educational materials and follow-up care recommendations, and reducing wait times by identifying patients most in need of care and targeting them with personalised coaching.

Experimentation 115

Experimentation Forecasting Measurement Cost-Benefit 115

CIO Business Intelligence

OCTOBER 4, 2022

Customers gravitate to personalized interactions and show a preference for companies that anticipate and cater to their unmet needs. Philips teams across the company use Healthsuite to build ML models that help the company’s healthcare customers unlock data insights, including clinical predictions and operational forecasts.

Data-driven 111

Data-driven Machine Learning Interactive Predictive Analytics 111

CIO Business Intelligence

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively. Pilots can offer value beyond just experimentation, of course.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

CIO Business Intelligence

MAY 30, 2024

Creating new business models Gen AI is also unique in that it can generate useful business models. Some gen AI applications can already summarize customer voice and written interactions with the contact center, or, in marketing and sales, identify new sales leads from calls. AI is the future for us,” says Maffei.

Cost-Benefit 119

Cost-Benefit Sales Modeling Experimentation 119

CIO Business Intelligence

DECEMBER 10, 2024

Companies in various industries are now relying on artificial intelligence (AI) to work more efficiently and develop new, innovative products and business models. We encourage our teams to experiment with different AI models and platforms and explore new application fields. The games industry is no exception.

Data-driven 98

Data-driven Metadata Interactive KPI 98

CIO Business Intelligence

AUGUST 21, 2024

According to Gartner, an agent doesn’t have to be an AI model. When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. That involves evaluating several models and platforms for agentic AI, including home-grown.

Risk 136

Risk Insurance Cost-Benefit Software 136

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. To do so, the company started by defining the goals, and finding a way to translate employees’ behavior and experience into data, so as to model against actual outcomes.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

IBM Big Data Hub

MAY 25, 2023

The Center of Excellence (CoE) already has more than 1,000 consultants with specialized generative AI expertise that are engaging with a global set of clients to drive productivity in IT operations and core business processes like HR or marketing, elevate their customer experiences and create new business models.

Consulting 99

Consulting Machine Learning Experimentation Modeling 99

Cloudera

AUGUST 20, 2020

The company’s advanced AI models can today detect suspicious transactions and rank these transactions with a score so that fraud investigation teams can best prioritise cases that require immediate mitigation — something that’s imperative as business team members work remotely. So, the business has to accept and be willing to fail at it.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

DataRobot Blog

OCTOBER 18, 2022

Monitoring and Managing AI Projects with Model Observability. Model Observability – the ability to track key health and service metrics for models in production – remains a top priority for AI-enabled organizations. DataRobot Booth at Big Data & AI Toronto 2022.

Big Data 96

Big Data Forecasting Machine Learning Experimentation 96

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

SEPTEMBER 27, 2023

Identifying worthwhile use cases Hackajob, a company that provides a platform for organizations to find and recruit IT and developer talent, began piloting generative AI models in the second half of 2022 as part of an informal research and development initiative to explore emerging technology trends.

Strategy 126

Strategy Data-driven Risk Technology 126

DataRobot Blog

SEPTEMBER 30, 2022

How do you track the integrity of a machine learning model in production? Model Observability can help. By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Model Observability Features.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52