CIO Business Intelligence

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. CarMax CITO Shamim Mohammed confirms his company was using OpenAI’s GPT-3.x

Risk 140

Risk Manufacturing Enterprise Technology 140

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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. No place is the risk higher than data.

Digital Transformation 96

Digital Transformation Scorecard Measurement Experimentation 96

CIO Business Intelligence

AUGUST 17, 2023

But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. We ran workshops with every division of our business, educating them on the accelerating innovation in this area, brainstorming opportunities and risks.

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

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. Resetting urgent care performance and delivery. Improving patient outcomes through a data-first approach.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

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. By providing your employees with psychological safety, an innovation-centric purpose, and encouragement — you can help them find the courage to risk failure in pursuit of creative ambition.”

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

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 100

Advertising Recreation/Entertainment Experimentation Enterprise 100

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 93

Cost-Benefit Modeling Manufacturing Interactive 93

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. In addition, the traditional challenges remain.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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?” Especially now.

Technology 59

Technology Risk Digital Transformation Measurement 59

CIO Business Intelligence

JUNE 28, 2023

For all of generative AI’s allure, large enterprises are taking their time, many outright banning tools like ChatGPT over concerns of accuracy, data protection, and the risk of regulatory backlash. Experimentation with a use case driven approach. By that measure, you will indeed have done better than you thought.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

Smart Data Collective

FEBRUARY 4, 2020

Current R&D Models Provide Diminishing Returns. Without better methodology, difficult-to-treat and ill-understood conditions and diseases are at risk of staying that way. Now, picture the same process using heuristic models, machine vision, and artificial intelligence. To understand why, we must first understand the process.

Experimentation 100

Experimentation Testing Modeling Strategy 100

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.” This is not just risk mitigation. In most cases, the answer is no.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

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

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

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.

Experimentation 95

Experimentation Statistics Testing Strategy 95

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. Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence results in reduced risk and uncertainty.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? It’s important to understand that ChatGPT is not actually a language model. It’s a convenient user interface built around one specific language model, GPT-3.5, The GPT-series LLMs are also called “foundation models.” GPT-2, 3, 3.5,

IT 262

IT Modeling Testing Risk 262

CIO Business Intelligence

JULY 7, 2023

As more individuals use browser-based apps to get their work done, IT leaders need to provide seamless access to corporate apps and tools while minimizing security risks. A security-by-design culture incorporates security measures deeply into the design and development of systems, rather than treating them as an afterthought.

Measurement 120

Measurement Risk Experimentation Enterprise 120

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. The choice of space $cal F$ (sometimes called the model ) and loss function $L$ explicitly defines the estimation problem. This is often referred to as the positivity assumption.

Statistics 44

Statistics Optimization Modeling Experimentation 44

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

JUNE 6, 2023

And the market for doing so remains robust for corporations looking to make the most of the model. CIOs should have plans for the upsides and also develop risk mitigation strategies. For example, startups are likelier to have advanced devops practices that enable continuous deployments and feature experimentation.

Key Performance Indicator 105

Key Performance Indicator Cost-Benefit Enterprise Experimentation 105

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. These measurement-obsessed companies have an advantage when it comes to AI.

Management 110

Management Machine Learning Experimentation Metrics 110

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

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

APRIL 26, 2023

With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. It offers features such as data ingestion, storage, ETL, BI and analytics, observability, and AI model development and deployment. Can you achieve similar outcomes with your on-premises data platform?

Cost-Benefit 63

Cost-Benefit Optimization Experimentation Machine Learning 63

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42

Cloudera

JUNE 6, 2019

This duplication can become such a management nightmare that they may prefer to return to the original model and simply live with noisy neighbors. This model increases predictability without creating undesirable data silos. In the VPC model, compute nodes are isolated from other compute nodes to provide strong isolation.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns. Our mental model has not shifted enough to the existing reality. AND you can control for risk! One of my biggest learnings? And it is in the real world.

Marketing 140

Marketing B2B Measurement Risk 140

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). There is such little risk to actually trying. Likely not. Neither do you.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. And most importantly, once shared security model across data sets and compute accessing the data. It will also allow data professionals to self-serve and collaborate through easy dashboarding.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Domino Data Lab

AUGUST 26, 2019

Data scientists, machine learning (ML) researchers, and business stakeholders have a high-stakes investment in the predictive accuracy of models. Data scientists and researchers ascertain predictive accuracy of models using different techniques, methodologies, and settings, including model parameters and hyperparameters.

Testing 79

Testing Modeling Machine Learning Metrics 79

CIO Business Intelligence

MAY 20, 2024

AI, and especially large language models (LLMs) such as ChatGPT, can use only digitized data from text, images, and voice. Another study used smartphone geolocation data to measure face-to-face interactions among workers at various Silicon Valley firms. Not all knowledge assembly results from serendipitous interactions.

Management 109

Management Interactive Measurement Marketing 109