CIO Business Intelligence

AUGUST 25, 2023

In this conversation with Foundry, Mitali discusses the accelerated importance of technology in healthcare, on enabling healthcare providers with data and why her team isn’t afraid of experimentation. Implementing it on the clinical side will take additional trials, because we cannot risk anything in that area.

Experimentation 98

Experimentation Digital Transformation Technology Measurement 98

Alation

DECEMBER 20, 2022

Failing to measure the impact of digital transformation against corporate strategies and OKRs. The measurement of an improvement and transformation is important,” Shaun Guthrie , senior VP of IT at Peavy Industries, points out “[It’s] Not just whether you improved revenue, efficiency, etc., 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 Unstructured Data 98

Smart Data Collective

JULY 9, 2023

Optimizing Conversion Rates with Data-Driven Strategies A/B Testing and Experimentation for Conversion Rate Optimization A/B testing is essential for discovering which version of your website’s elements are most effective in driving conversions. Take no risks when it comes to protecting data privacy!

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

O'Reilly on Data

MARCH 31, 2020

This has serious implications for software testing, versioning, deployment, and other core development processes. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

Management 332

Management Machine Learning Experimentation Metrics 332

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., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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 141

Risk Manufacturing Enterprise Technology 141

CIO Business Intelligence

OCTOBER 9, 2023

Hyatt’s experimental mindset and listen-first approach are heavily applied to IT’s pursuit of innovation, he says. In the rush to innovate, teams can forget the basics, such as insufficient testing, so constant monitoring is crucial to ensure you’re providing value, adds TFCU’s Renganathan. He learned that the hard way.

Strategy 137

Strategy Technology Experimentation Testing 137

Sisense

JANUARY 21, 2020

A new drug promising to reduce the risk of heart attack was tested with two groups. When the data is combined, it seems that the drug reduces the risk of getting a heart attack. In addition, men are at a greater risk of having a heart attack, overall. It also reduced their risk of heart attack.

Testing 104

Testing Risk Data-driven Statistics 104

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. Information governance enables enterprises to achieve strategic goals, mitigate risk, and reduce costs. Conversations suggest that AI is already transforming most major industries.

Advertising 105

Advertising Recreation/Entertainment Experimentation Enterprise 105

Smart Data Collective

FEBRUARY 4, 2020

Phase 0 is the first to involve human testing. Phase I involves dialing-in the proper dosage and further testing in a larger patient pool. Without better methodology, difficult-to-treat and ill-understood conditions and diseases are at risk of staying that way. Existing Methods Leave Many Patient Needs Unmet.

Experimentation 100

Experimentation Testing Modeling Strategy 100

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

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?” It’s open.

Technology 59

Technology Risk Digital Transformation Measurement 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

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times. What are you measuring?

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

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

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

O'Reilly on Data

SEPTEMBER 15, 2020

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

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

DataKitchen

MARCH 8, 2023

This requires a culture of innovation, experimentation, and willingness to take risks and try new approaches. It is not enough to just deploy to production quickly; teams need to lower the risk of deployment failure. Measuring these goals is very important to success. It’s not because they trust the newbies.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

CIO Business Intelligence

APRIL 18, 2022

They run the risk of miscommunication and misaligned business, technology, and operational strategy across the CXO team. Our internal QA team now focuses 100% on automated testing and managing the queue from the crowdsourced operation. They invest in cloud experimentation. Charles River Laboratories.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

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? Tokens ChatGPT’s sense of “context”—the amount of text that it considers when it’s in conversation—is measured in “tokens,” which are also used for billing. Search and research Microsoft is currently beta testing Bing/Sydney, which is based on GPT-4.

IT 262

IT Modeling Testing Risk 262

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. A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means.

Statistics 44

Statistics Optimization Modeling Experimentation 44

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. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

MAY 8, 2019

That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. 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. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42

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). Usually at least a test. There is such little risk to actually trying.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Cloudera

JUNE 6, 2019

In this case, an individual with different types of workloads may have access to multiple clusters; the admin trades increased risk of a noisy neighbor for better infrastructure efficiency. 3) By workload priority. A third strategy splits clusters based on the overall priority of the workloads running on those clusters. Cloudera Manager 6.2

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. We don't take risk and try things, imaginative (possibly glorious) things, because we believe the price of failure is so high. AND you can control for risk!

Marketing 140

Marketing B2B Measurement Risk 140

O'Reilly on Data

DECEMBER 9, 2019

We use the diagnostic test results of our regression model to support the reasons why CIs should not be used in financial data analyses. The probability of an event should be measured empirically by repeating similar experiments ad nauseam —either in reality or hypothetically. Pricing stocks regressively with Statsmodels.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Occam's Razor

OCTOBER 23, 2006

Start with measuring these Outcomes metrics (revenue, leads, profit margins, improved product mix, number of new customers etc). Be incessantly focussed on your company customers and dragging their voice to the table (for example via experimentation and testing or via open ended survey questions). 6 Reporting is not Analysis.

Data-driven 117

Data-driven Metrics KPI Reporting 117

Domino Data Lab

AUGUST 26, 2019

This control prevents overfitting and reduction in predictive accuracy on new test data. If we don’t like the result of testing after training, we can also select an entirely different learning machine with different internals. We can take this model to other, novel data and perform a final hold-out test assessment.

Testing 79

Testing Modeling Machine Learning Metrics 79

CIO Business Intelligence

MAY 20, 2024

He tested this hypothesis by having some machines at the facility warm up and others not. Another study used smartphone geolocation data to measure face-to-face interactions among workers at various Silicon Valley firms. As a means of control, budgets measure performance against planned targets, influencing employee behavior.

Management 111

Management Interactive Measurement Marketing 111

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. Make experimentation cheap and understand the cost of bad decisions. We ought not dredge our data.

Experimentation 61

Experimentation Testing Statistics Metrics 61