Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

Experimentation 103

Experimentation Testing Optimization Measurement 103

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 162

Modeling Optimization Marketing Interactive 162

AWS Big Data

JANUARY 15, 2025

EUROGATEs data science team aims to create machine learning models that integrate key data sources from various AWS accounts, allowing for training and deployment across different container terminals. Insights from ML models can be channeled through Amazon DataZone to inform internal key decision makers internally and external partners.

IoT 111

IoT Machine Learning Metadata Data-driven 111

AWS Big Data

NOVEMBER 19, 2024

This offering is designed to provide an even more cost-effective solution for running Airflow environments in the cloud. micro characteristics, key benefits, ideal use cases, and how you can set up an Amazon MWAA environment based on this new environment class. micro reflect a balance between functionality and cost-effectiveness.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

CIO Business Intelligence

JULY 18, 2024

The early bills for generative AI experimentation are coming in, and many CIOs are finding them more hefty than they’d like — some with only themselves to blame. According to IDC’s “ Generative AI Pricing Models: A Strategic Buying Guide ,” the pricing landscape for generative AI is complicated by “interdependencies across the tech stack.”

Cost-Benefit 136

Cost-Benefit Experimentation Consulting Modeling 136

CIO Business Intelligence

MAY 23, 2022

Enterprises moving their artificial intelligence projects into full scale development are discovering escalating costs based on initial infrastructure choices. Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex.

Experimentation 137

Experimentation Cost-Benefit Data Lake Data Science 137

Corinium

JUNE 6, 2019

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. Also, design thinking should play a large role in analytics in terms of how it will benefit the organization and exactly how people will react to and adopt the resulting insights.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

MARCH 19, 2025

I first described the overall AI landscape and made sure they realized weve been doing AI for quite a while in the form of machine learning and other deterministic models. This enforces the need for good data governance, as AI models will surface incorrect data more frequently, and most likely at a greater cost to the business.

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

CIO Business Intelligence

MAY 21, 2024

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. With this model, patients get results almost 80% faster than before. It’s fabulous.”

IT 131

IT Cost-Benefit Experimentation Forecasting 131

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 82

Testing Measurement Technology Experimentation 82

IBM Big Data Hub

MAY 17, 2024

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

Modeling 96

Modeling Cost-Benefit Optimization Digital Transformation 96

CIO Business Intelligence

AUGUST 14, 2024

It’s embedded in the applications we use every day and the security model overall is pretty airtight. The cost of OpenAI is the same whether you buy it directly or through Azure. Its model catalog has over 1,600 options, some of which are also available through GitHub Models. That’s risky.”

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

CIO Business Intelligence

AUGUST 15, 2024

Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts. Gen AI projects can cost millions of dollars to implement and incur huge ongoing costs, Gartner notes. For example, a gen AI virtual assistant can cost $5 million to $6.5

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

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

OCTOBER 3, 2024

From budget allocations to model preferences and testing methodologies, the survey unearths the areas that matter most to large, medium, and small companies, respectively. Medium companies Medium-sized companies—501 to 5,000 employees—were characterized by agility and a strong focus on GenAI experimentation.

Testing 129

Testing Cost-Benefit Experimentation Risk 129

CIO Business Intelligence

APRIL 25, 2024

During the summer of 2023, at the height of the first wave of interest in generative AI, LinkedIn began to wonder whether matching candidates with employers and making feeds more useful would be better served with the help of large language models (LLMs). Cost considerations One aspect that Bottaro dubbed “a hurdle” was the cost.

IT 139

IT Cost-Benefit Experimentation Metrics 139

CIO Business Intelligence

OCTOBER 3, 2024

Rather than pull away from big iron in the AI era, Big Blue is leaning into it, with plans in 2025 to release its next-generation Z mainframe , with a Telum II processor and Spyre AI Accelerator Card, positioned to run large language models (LLMs) and machine learning models for fraud detection and other use cases.

Machine Learning 140

Machine Learning Experimentation Insurance Modeling 140

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

SEPTEMBER 9, 2024

But there comes a point in a new technology when its potential benefits become clear even if the exact shape of its evolution is opaque. Earlier this year, consulting firm BCG published a survey of 1,400 C-suite executives and more than half expected AI and gen AI to deliver cost savings this year. What are business leaders telling us?

Cost-Benefit 131

Cost-Benefit Experimentation Digital Transformation ROI 131

CIO Business Intelligence

JULY 5, 2024

So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation. Here are five best practices to get the most business benefit from gen AI. This may impact some of your vendor selections as well.

ROI 124

ROI Experimentation Risk Cost-Benefit 124

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. Davé and his team’s achievements in AI are due in large part to creating opportunities for experimentation — and ensuring those experiments align with CBRE’s business strategy. Let’s start with the models. And those experiments have paid off.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

CIO Business Intelligence

MAY 23, 2022

Because it’s common for enterprise software development to leverage cloud environments, many IT groups assume that this infrastructure approach will succeed as well for AI model training. For many nascent AI projects in the prototyping and experimentation phase, the cloud works just fine.

Cost-Benefit 98

Cost-Benefit Experimentation Data Lake Deep Learning 98

CIO Business Intelligence

APRIL 24, 2024

The first use of generative AI in companies tends to be for productivity improvements and cost cutting. But there are only so many costs that can be cut. CIOs are well positioned to cut costs since they’re usually well acquainted with a company’s digital processes, having helped set them up in the first place.

Sales 128

Sales Finance Experimentation Cost-Benefit 128

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

Cloudera

JANUARY 28, 2022

Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Private cloud continues to gain traction with firms realizing the benefits of greater flexibility and dynamic scalability. Cost Management.

Slice and Dice 115

Slice and Dice Cost-Benefit Data Governance Risk 115

Smart Data Collective

OCTOBER 13, 2022

These patterns could then be used as the basis for additional experimentation by scientists or engineers. The technique is helping product design firm Seattle reduce costs and improve the quality of its products. Though AI has many benefits in product R&D, it has some limitations in application. Generative Design.

Testing 128

Testing Cost-Benefit Experimentation Optimization 128

datapine

FEBRUARY 4, 2020

We will go into detail with each report below in the article, but it is important to keep in mind that low-level metrics such as CPC or CTR will not take part in the strategic report that focuses on customers’ costs. This is useful since seniors need to know and control customer costs and the quality of leads. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

CIO Business Intelligence

MAY 30, 2024

Creating new business models Gen AI is also unique in that it can generate useful business models. Plus, it’s used to speed up procurement analysis and insights into negotiation strategies, and reduce hiring costs with resume screening and automated candidate profile recommendations. AI is the future for us,” says Maffei.

Cost-Benefit 119

Cost-Benefit Sales Modeling Experimentation 119

CIO Business Intelligence

JULY 24, 2024

Key strategies for exploration: Experimentation: Conduct small-scale experiments. Adobe’s transition from packaged software to the Creative Cloud service model is an example of a strategic move to exploit new market opportunities and scale for success with recurrent revenue and a broader user base. This phase maximizes long-term value.

Technology 98

Technology Experimentation Cost-Benefit Digital Transformation 98

CIO Business Intelligence

NOVEMBER 21, 2023

Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions. People generally want to comply with policies, but being too stringent and creating too much friction often leads to shadow IT.

IT 137

IT Risk Cost-Benefit Data Science 137

CIO Business Intelligence

FEBRUARY 16, 2024

For most organizations, a shift to the cloud brings scalability, access to innovative tools, and the possibility of cost savings. When you’re introducing many new applications, the ease of getting them up and running and lowered costs [on the cloud] is tremendously beneficial,” he says. An early partner of Amazon, the Roseburg, N.J.-based

Digital Transformation 116

Digital Transformation Experimentation Cost-Benefit Machine Learning 116

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

OCTOBER 15, 2024

But continuous deployment isn’t always appropriate for your business , stakeholders don’t always understand the costs of implementing robust continuous testing , and end-users don’t always tolerate frequent app deployments during peak usage. Platform engineering is one approach for creating standards and reinforcing key principles.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

CIO Business Intelligence

FEBRUARY 1, 2024

Experimentation with and deployment of generative AI needs to be thought of as a learning experience. Avanade is a proud sponsor at HIMSS24 and will be exploring approaches for choosing initial use cases and modeling the costs and benefits that GenAI can deliver. Click here to register.

Experimentation 115

Experimentation Forecasting Measurement Cost-Benefit 115

CIO Business Intelligence

DECEMBER 19, 2023

Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control. Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

JULY 8, 2022

After transforming their organization’s operating model, realigning teams to products rather than to projects , CIOs we consult arrive at an inevitable question: “What next?” Splitting these responsibilities without a clear vision and careful plan, however, can spell disaster, reversing the progress begotten by a new operating model.

Cost-Benefit 122

Cost-Benefit Measurement Modeling Metrics 122

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64