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

IBM Big Data Hub

JUNE 10, 2024

Cloud-based XaaS offerings provide organizations with the agility to scale resources up or down based on demand, enabling optimal resource utilization and cost efficiency. XaaS models offer organizations greater predictability and transparency in cost management by providing detailed billing metrics and usage analytics.

Experimentation 62

Experimentation Optimization Risk Management Metrics 62

AWS Big Data

SEPTEMBER 5, 2024

A more advanced method is to combine traditional inverted-index(BM25) based retrieval, but this approach requires spending a considerable amount of time customizing lexicons, synonym dictionaries, and stop-word dictionaries for optimization. Experimental data selection For retrieval evaluation, we used to use the datasets from BeIR.

Metrics 99

Metrics Experimentation Testing Modeling 99

Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Cloudera

OCTOBER 8, 2024

This service supports a range of optimized AI models, enabling seamless and scalable AI inference. By 2023, the focus shifted towards experimentation. Hardware and software optimizations enable up to 36 times faster inference with NVIDIA accelerated computing and nearly four times the throughput on CPUs, accelerating decision-making.

Optimization 74

Optimization Experimentation Metrics Enterprise 74

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. See how to use DataRobot Model Observability to track service, drift, prediction data, training data, and custom metrics in order to keep models and predictions relevant in a fast-changing world.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

Occam's Razor

JULY 18, 2011

To not have it as an active part of your marketing portfolio is sub-optimal. You must use metrics that are unique to the medium. Ready for the best email marketing campaign metrics? So for our email campaign analysis let’s look at metrics using that framework. Optimal Acquisition Email Metrics. Outcomes.

Metrics 138

Metrics Marketing Measurement Cost-Benefit 138

CIO Business Intelligence

MARCH 28, 2023

Value Stream Management (VSM) is a powerful methodology that not only streamlines value streams and optimizes processes but also promotes sustainability and creates positive impact. Here are some ways leaders can cultivate innovation: Build a culture of experimentation. Use data and metrics. Invest in technology.

Experimentation 98

Experimentation Metrics Measurement Digital Transformation 98

Occam's Razor

SEPTEMBER 15, 2014

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). Media-Mix Modeling/Experimentation. Many reasons. CEOs still don't get it.

Metrics 143

Metrics Reporting Analytics Marketing 143

CIO Business Intelligence

OCTOBER 14, 2024

Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.

Digital Transformation 131

Digital Transformation Experimentation Cost-Benefit Risk 131

datapine

MAY 20, 2020

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. To inspire your customer relationship management report for managing your metrics, explore our cutting-edge selection of KPI examples.

Dashboards 265

Dashboards Reporting KPI Visualization 265

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. These companies eventually moved beyond using data to inform product design decisions.

Management 338

Management Machine Learning Experimentation Metrics 338

IBM Big Data Hub

MAY 17, 2024

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. Optimized: Cloud environments are now working efficiently and every new use case follows the same foundation set forth by the organdization.

Modeling 96

Modeling Cost-Benefit Optimization Digital Transformation 96

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. Now nearly half of code suggestions are accepted.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

datapine

FEBRUARY 4, 2020

Structure your metrics. As with any report you might need to create, structuring and implementing metrics that will tell an interesting and educational data-story is crucial in our digital age. That way you can choose the best possible metrics for your case. Regularly monitor your data. 1) Marketing CMO report.

Reporting 280

Reporting Marketing Advertising Metrics 280

DataKitchen

APRIL 13, 2021

Observe, optimize, and scale enterprise data pipelines. . A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. DataMo – Datmo tools help you seamlessly deploy and manage models in a scalable, reliable, and cost-optimized way. Monte Carlo Data — Data reliability delivered.

Testing 304

Testing Machine Learning Consulting Data Quality 304

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. Such decisions involve an actual hypothesis test on specific metrics (e.g.

Experimentation 68

Experimentation Sales Metrics Measurement 68

AWS Big Data

JULY 20, 2023

Determining optimal table partitioning Determining optimal partitioning for each table is very important in order to optimize query performance and minimize the impact on teams querying the tables when partitioning changes. The following diagram illustrates the solution architecture. Orca addressed this in several ways.

Data Lake 87

Data Lake Analytics Snapshot Data Quality 87

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. As copilot technology capabilities are changing rapidly, leaders should frequently identify metrics and evaluate strategies.

Advertising 124

Advertising Cost-Benefit Experimentation Software 124

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.

Experimentation 103

Experimentation Testing Optimization Measurement 103

CIO Business Intelligence

AUGUST 21, 2024

Our goal is to analyze logs and metrics, connecting them with the source code to gain insights into code fixes, vulnerabilities, performance issues, and security concerns,” he says. These projects include those that simplify customer service and optimize employee workflows. Plus, each agent can be optimized for its specific tasks.

Risk 136

Risk Insurance Cost-Benefit Software 136

DataRobot Blog

SEPTEMBER 30, 2022

By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Adoption of AI/ML is maturing from experimentation to deployment. Monitor Prediction Process to Optimize Workloads. Model Observability can help.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

AWS Big Data

NOVEMBER 2, 2023

Solution overview GoDaddy’s intelligent compute platform envisions simplification of compute operations for all personas, without limiting power users, to ensure out-of-box cost and performance optimization for data and ML workloads. Gather relevant metrics from the tests. Analyze results to draw insights and conclusions. HCatalog 3.1.3

Cost-Benefit 94

Cost-Benefit Big Data Testing Optimization 94

Domino Data Lab

SEPTEMBER 10, 2020

This means many projects get stuck in endless research and experimentation. A concise goal (“I want to save costs by optimizing my store staffing roster”) is much more likely to lead to a successful initiative than a broad statement (“I want to increase revenue in my retail stores”). Identify metrics that measure this variability.

Modeling 101

Modeling Data Science IT Metrics 101

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 95

Analytics Metrics Strategy Measurement 95

Occam's Razor

MAY 15, 2006

There is a lot of "buzz" around "buzzy" metrics such as brand value / brand impact, blog-pulse , to name a couple. IMHO these "buzzy" metrics might be a sub optimal use of time/resources if we don't first have a hard core understanding of customer satisfaction and task completion on our websites.

Metrics 100

Metrics Experimentation Testing Interactive 100

Cloudera

APRIL 9, 2021

To effectively leverage their predictive capabilities and maximize time-to-value these companies need an ML infrastructure that allows them to quickly move models from data pipelines, to experimentation and into the business. It does not want to over produce its parts as this ties up cash.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

DataRobot Blog

JULY 28, 2022

Of course, finding a compromise is necessary to a certain degree, but rather than simply compromising, finding the optimal solution within that trade-off is the key to creating maximum business value. As a DataRobot data scientist , I have worked with team members on a variety of projects to improve the business value of our customers.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Occam's Razor

OCTOBER 21, 2013

As an analyst, I was upset that this change would hurt my ability to analyze the effectiveness of my beloved search engine optimization (SEO) efforts – which are really all about finding the right users using optimal content strategies. These changes impact my AdWords spend sub-optimally. What Is Not Going Away.

Optimization 156

Optimization Reporting Metrics Experimentation 156

Occam's Razor

MARCH 23, 2021

This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). The benchmark for the beautiful metric AVOC is 15.3%. You have the start of a fabulous in-flight optimization engine.

Analytics 133

Analytics Scorecard Strategy Testing 133

Occam's Razor

SEPTEMBER 30, 2013

Each of the six visuals re-frames a unique facet of the digital opportunity/challenge, and shares how to optimally take advantage of the opportunity/challenge. It is also immensely beneficial for search engine optimization (great content, delivered fresh, every day!). Then that is all they optimize for. And so on and so forth.

Marketing Analytics 156

Marketing Analytics Marketing Visualization Analytics 156

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous DataOps metrics testing checks data’s validity, completeness and integrity at input and output. Just-in-Time” manufacturing increases production while optimizing resources.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. That ACT was an activity metric was terrible – if you have a The success metric, it should always be an outcome metric. Another issue.

Key Performance Indicator 107

Key Performance Indicator Metrics Measurement Advertising 107

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. This is essentially the same as finding a truly useful objective to optimize. accounting for effects "orthogonal" to the randomization used in experimentation.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Occam's Razor

AUGUST 12, 2013

The outcome in either scenario is a restructuring of the organization that is exquisitely geared towards taking advantage of portfolio optimization. You should not treat your marketing optimization program with the same level of outcome optimization that is applied to five-year-olds. From a Venn -diagram. Who would have thunk?].

Modeling 162

Modeling Optimization Marketing Interactive 162

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. Another pattern that I’ve seen in good PMs is that they’re very metric-driven.

Management 110

Management Machine Learning Experimentation Metrics 110

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Learn from data scientists about their responsibilities and find out how to launch a data science career. |

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137