O'Reilly on Data

JANUARY 11, 2022

This trend started with the gigantic language model GPT-3. This may encourage the creation of more large-scale models; it might also drive a wedge between academic and industrial researchers. What does “reproducibility” mean if the model is so large that it’s impossible to reproduce experimental results?

Experimentation 361

Experimentation Modeling Strategy Machine Learning 361

CIO Business Intelligence

NOVEMBER 11, 2024

Research firm IDC projects worldwide spending on technology to support AI strategies will reach $337 billion in 2025 — and more than double to $749 billion by 2028. Amazon Web Services, Microsoft Azure, and Google Cloud Platform are enabling the massive amount of gen AI experimentation and planned deployment of AI next year, IDC points out.

ROI 137

ROI Cost-Benefit Risk Experimentation 137

O'Reilly on Data

MARCH 25, 2025

Throughout this article, well explore real-world examples of LLM application development and then consolidate what weve learned into a set of first principlescovering areas like nondeterminism, evaluation approaches, and iteration cyclesthat can guide your work regardless of which models or frameworks you choose. Which multiagent frameworks?

Testing 177

Testing Data-driven Software Measurement 177

CIO Business Intelligence

JANUARY 21, 2025

As gen AI heads to Gartners trough of disillusionment , CIOs should consider how to realign their 2025 strategies and roadmaps. 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.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Models also become stale and outdated over time.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

DECEMBER 17, 2024

While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. Like any new technology, organizations typically need to upskill existing talent or work with trusted technology partners to continuously tune and integrate their AI foundation models. In 2025, thats going to change.

Experimentation 98

Experimentation ROI Risk Data Quality 98

CIO Business Intelligence

OCTOBER 24, 2024

As they look to operationalize lessons learned through experimentation, they will deliver short-term wins and successfully play the gen AI — and other emerging tech — long game,” Leaver said. In 2025, they said, AI leaders will have to face the reality that there are no shortcuts to AI success.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

OCTOBER 24, 2024

In some cases, the AI add-ons will be subscription models, like Microsoft Copilot, and sometimes, they will be free, like Salesforce Einstein, he says. Forrester also recently predicted that 2025 would see a shift in AI strategies , away from experimentation and toward near-term bottom-line gains. growth in device spending.

IT 133

IT Data-driven Recreation/Entertainment Experimentation 133

O'Reilly on Data

SEPTEMBER 15, 2020

In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g., spam or not-spam), probabilities, groups/segments, or a sequence (e.g.,

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

Rocket-Powered Data Science

JULY 6, 2021

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. the monitoring of very important operational ML characteristics: data drift, concept drift, and model security).

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

CIO Business Intelligence

JANUARY 14, 2025

They achieve this through models, patterns, and peer review taking complex challenges and breaking them down into understandable components that stakeholders can grasp and discuss. Experimentation: The innovation zone Progressive cities designate innovation districts where new ideas can be tested safely.

Enterprise 119

Enterprise Technology Metrics Measurement 119

O'Reilly on Data

APRIL 4, 2024

The race to the top is no longer driven by who has the best product or the best business model, but by who has the blessing of the venture capitalists with the deepest pockets—a blessing that will allow them to acquire the most customers the most quickly, often by providing services below cost. Venture capitalists don’t have a crystal ball.

Marketing 239

Marketing Finance Modeling Experimentation 239

CIO Business Intelligence

NOVEMBER 2, 2023

Yet, controlling cloud costs remains the top challenge IT leaders face in making the most of their cloud strategies, with about one third — 35% — of respondents citing these expenses as the No. It depends on what business model you’re in. 1 barrier to moving forward in the cloud.

Strategy 140

Strategy Data Processing Experimentation Optimization 140

CIO Business Intelligence

NOVEMBER 7, 2024

It covers essential topics like artificial intelligence, our use of data models, our approach to technical debt, and the modernization of legacy systems. Using a defensive and offensive strategy, we’ve taken decisive steps to ensure responsible innovation. This initiative offers a safe environment for learning and experimentation.

Insurance 120

Insurance Experimentation Testing Technology 120

DataKitchen

JANUARY 20, 2021

The center of excellence (COE) model leverages the DataOps team to solve real-world challenges. A COE typically has a full-time staff that focuses on delivering value for customers in an experimentation-driven, iterative, result-oriented, customer-focused way. DataOps Center of Excellence. The post Do You Need a DataOps Dojo?

Metrics 243

Metrics Experimentation Measurement Testing 243

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

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. ModelOps and MLOps fall under the umbrella of DataOps,with a specific focus on the automation of data science model development and deployment workflows.

Testing 304

Testing Machine Learning Consulting Data Science 304

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

JULY 5, 2024

So many vendors, applications, and use cases, and so little time, and it permeates everything from business strategy and processes, to products and services. 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.

ROI 124

ROI Experimentation Risk Cost-Benefit 124

Rocket-Powered Data Science

OCTOBER 16, 2020

Be sure to listen to the full recording of our lively conversation, which covered Data Literacy, Data Strategy, Data Leadership, and more. We build models to test our understanding, but these models are not “one and done.” How To Build A Successful Enterprise Data Strategy. The Age of Hype Cycles.

Digital Transformation 142

Digital Transformation Experimentation Data Science Data Strategy 142

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

AWS Big Data

NOVEMBER 19, 2024

Customers maintain multiple MWAA environments to separate development stages, optimize resources, manage versions, enhance security, ensure redundancy, customize settings, improve scalability, and facilitate experimentation. His core area of expertise includes technology strategy, data analytics, and data science.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

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

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 23, 2024

From the rise of value-based payment models to the upheaval caused by the pandemic to the transformation of technology used in everything from risk stratification to payment integrity, radical change has been the only constant for health plans. That’s what it’s like to find a GenAI strategy on top of a poor data infrastructure.

Management 115

Management Experimentation Data-driven Strategy 115

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

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. How has, say, ChatGPT hit your business model?” This is an issue for CIOs.

Strategy 98

Strategy Risk Enterprise Risk Management 98

CIO Business Intelligence

MARCH 19, 2025

CIOs have the daunting task of educating it on the various flavors of this capability, and steering them to the most beneficial investments and strategies. When I joined RGA, there was already a recognition that we could grow the business by building an enterprise data strategy. When the board says, AI! Thats gen AI driving revenue.

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

IBM Big Data Hub

MAY 16, 2019

The next chapter is all about moving from experimentation to true transformation. We are helping businesses activate data as a strategic asset, with desire to maximize the impact of AI as core to the business strategy. Companies are entering “chapter two” of their digital transformation. It’s about gaining speed and scale.

Experimentation 83

Experimentation Data Science Digital Transformation Modeling 83

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.

Cost-Benefit 129

Cost-Benefit Testing Experimentation Risk 129

CIO Business Intelligence

AUGUST 15, 2024

Generative AI has been hyped so much over the past two years that observers see an inevitable course correction ahead — one that should prompt CIOs to rethink their gen AI strategies. When we do planning sessions with our clients, two thirds of the solutions they need don’t necessarily fit the generative AI model.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

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

datapine

FEBRUARY 4, 2020

Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit. It is utilized to effectively communicate a company’s marketing strategy, including research, promotional tactics, goals and expected outcomes. How To Write A Marketing Report?

Reporting 280

Reporting Marketing Advertising Metrics 280

CIO Business Intelligence

SEPTEMBER 12, 2024

A product manager is under immense pressure to deliver complex customer insights that could pivot the company’s product strategy. Generative AI models can perpetuate and amplify biases in training data when constructing output. Models can produce material that may infringe on copyrights.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

CIO Business Intelligence

DECEMBER 11, 2024

Newly released research from SASs Data and AI Pulse Survey 2024 Asia Pacific finds that only 18% of organisations can be categorised as AI leaders, where the organisation has an AI strategy and long-term investment plans in place. These ROI expectations exist despite many surveyed organisations not having a clear AI strategy.

ROI 59

ROI Experimentation Insurance Strategy 59

CIO Business Intelligence

JULY 12, 2024

“Not only does this particular low-code solution make rapid experimentation possible, it also offers orchestration capabilities so we can plug different services in and out very quickly,” says Pacynski. The omnichannel strategy at Ulta has been strong for many years,” she adds.

Experimentation 124

Experimentation Testing Enterprise Strategy 124

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96