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 89

Advertising Recreation/Entertainment Experimentation Enterprise 89

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

Sisense

JANUARY 21, 2020

One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. 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.

Testing 104

Testing Risk Data-driven Statistics 104

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 141

Cost-Benefit Metrics Insurance Measurement 141

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

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. Humans can’t keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

APRIL 18, 2022

They run the risk of miscommunication and misaligned business, technology, and operational strategy across the CXO team. They also advise communicating the dashboard’s value consistently since that will drive effective dashboard use, both to increase adoption and to improve company performance on key dashboard metrics, the brief says.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

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. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

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. We use performance metrics such as bias and mean squared error for the estimation of $delta$, our causal estimand of interest, defined as the average effect of treatment on the treated.

Statistics 44

Statistics Optimization Modeling Experimentation 44

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). Legal concerns, risk, compliance. Lack of reproducible workflows.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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

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

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). It has simply not had a break to catch a breath and mature. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

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

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.

Metadata 88

Metadata Data Lake Optimization Strategy 88

Occam's Razor

OCTOBER 23, 2006

Start with measuring these Outcomes metrics (revenue, leads, profit margins, improved product mix, number of new customers etc). Get competitive data (we are at x% of zz metric and our competition is at x+9% of zz metric). Great for a couple months and then you lose the audience. 6 Reporting is not Analysis.

Data-driven 117

Data-driven Metrics KPI Reporting 117

Domino Data Lab

AUGUST 26, 2019

To support the iterative and experimental nature of industry work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt the “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. algorithm leaf_size metric metric_params n_jobs n_neighbors p weights.

Testing 79

Testing Modeling Machine Learning Metrics 79

CIO Business Intelligence

MAY 20, 2024

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. Instead, companies should use metrics other than budget targets for rewards.

Management 110

Management Interactive Measurement Marketing 110

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

MARCH 7, 2016

Here's a great example of the risk you carry by only having rented platform strategies, so much worse than the Edgerank chokehold Facebook has on your organic reach… Google+ is a good platform, and Google continues to experiment with it. While I'm pointing out my example, your brand faces the same risks.

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86

Sisense

NOVEMBER 23, 2020

Marketing needs quantitative metrics to justify every dollar they’re spending, the return they’re getting, and the revenue generated, so it’s one of the best examples of why you need a data-driven, evidence-based decision making culture within an organization,” he explains. The changing role of the data professional.

Analytics 98

Analytics Data-driven Marketing Reporting 98

O'Reilly on Data

MAY 11, 2020

It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. And like a lot of near-future SciFi, it’s remarkably prescient.

Modeling 189

Modeling Advertising Recreation/Entertainment Metrics 189