O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Without clarity in metrics, it’s impossible to do meaningful experimentation. Ongoing monitoring of critical metrics is yet another form of experimentation.

Marketing 363

Marketing Experimentation Metrics Testing 363

Smart Data Collective

OCTOBER 13, 2022

These patterns could then be used as the basis for additional experimentation by scientists or engineers. Generative design is a new approach to product development that uses artificial intelligence to generate and test many possible designs. Automated Testing of Features. Generative Design. Quality Assurance.

Testing 118

Testing Cost-Benefit Experimentation Optimization 118

O'Reilly on Data

OCTOBER 19, 2021

Let’s start by considering the job of a non-ML software engineer: writing traditional software deals with well-defined, narrowly-scoped inputs, which the engineer can exhaustively and cleanly model in the code. Not only is data larger, but models—deep learning models in particular—are much larger than before.

IT 352

IT Testing Experimentation Software 352

CIO Business Intelligence

NOVEMBER 19, 2024

This stark contrast between experimentation and execution underscores the difficulties in harnessing AI’s transformative power. Data privacy and compliance issues Failing: Mismanagement of internal data with external models can lead to privacy breaches and non-compliance with regulations. Of those, just three are considered successful.

Consulting 126

Consulting Cost-Benefit Experimentation Optimization 126

CIO Business Intelligence

NOVEMBER 13, 2024

The new version, ARIS 10 SR27, available now, includes AI Companion, which a release stated contains capabilities such as the ability for users to query information stored in models within the ARIS repository without the need for an exact match on keywords, and can translate text-based descriptions into structured BPM models.

Experimentation 113

Experimentation Testing Software Risk 113

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.

Testing 129

Testing Cost-Benefit Experimentation Risk 129

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

Cloudera

SEPTEMBER 18, 2024

More and more enterprises are leveraging pre-trained models for various applications, from natural language processing to computer vision. For data providers, InDaiX enhances distribution by reaching Cloudera’s established customer base and provides valuable feedback on data usage and integration with AI models.

Data-driven 84

Data-driven Optimization Experimentation Testing 84

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

DataKitchen

APRIL 13, 2021

Testing and Data Observability. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability.

Testing 304

Testing Machine Learning Consulting Data Quality 304

CIO Business Intelligence

AUGUST 23, 2024

Data scientists at Bayer have developed several proofs of concept of generative AI models on the new platform that remain in discovery and evaluation phase for “efficacy,” McQueen says, adding that the models won’t be in production until 2025. The R&D pipeline is pretty highly confidential at this point,” he says. It’s additive.”

Data Science 101

Data Science Experimentation Testing Modeling 101

CIO Business Intelligence

JULY 12, 2024

They’ve also been using low-code and gen AI to quickly conceive, build, test, and deploy new customer-facing apps and experiences. In a fiercely competitive industry, where CX is critical to differentiation, this approach has enabled them to build and test new innovations about 10 times faster than traditional development.

Experimentation 124

Experimentation Testing Enterprise Strategy 124

CIO Business Intelligence

OCTOBER 15, 2024

But continuous deployment isn’t always appropriate for your business , stakeholders don’t always understand the costs of implementing robust continuous testing , and end-users don’t always tolerate frequent app deployments during peak usage. CrowdStrike recently made the news about a failed deployment impacting 8.5

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

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. The culprit keeping these aspirations in check? It is still the data.

Management 115

Management Experimentation Strategy Data-driven 115

CIO Business Intelligence

OCTOBER 17, 2024

Despite critics, most, if not all, vendors offering coding assistants are now moving toward autonomous agents, although full AI coding independence is still experimental, Walsh says. With existing, human-written tests you just loop through generated code, feeding the errors back in, until you get to a success state.”

Software 141

Software Testing Experimentation Consulting 141

AWS Big Data

SEPTEMBER 5, 2024

In the context of Retrieval-Augmented Generation (RAG), knowledge retrieval plays a crucial role, because the effectiveness of retrieval directly impacts the maximum potential of large language model (LLM) generation. document-only) ~ 20%(bi-encoder) higher NDCG@10, comparable to the TAS-B dense vector model.

Metrics 100

Metrics Testing Experimentation Modeling 100

CIO Business Intelligence

SEPTEMBER 12, 2024

Generative AI models can perpetuate and amplify biases in training data when constructing output. Models can produce material that may infringe on copyrights. If not properly trained, these models can replicate code that may violate licensing terms. This will increase data value while safeguarding against data breaches.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

IBM Big Data Hub

JUNE 10, 2024

As organizations strive to harness the power of AI while controlling costs, leveraging anything as a service (XaaS) models emerges as a strategic approach. Embracing the power of XaaS XaaS encompasses a broad spectrum of cloud-based and on-premises service models that offer scalable and cost-effective solutions to businesses.

Experimentation 62

Experimentation Optimization Risk Management Modeling 62

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

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 84

Machine Learning Modeling Metadata Recreation/Entertainment 84

CIO Business Intelligence

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

DataRobot Blog

MARCH 16, 2023

release, we’ve made it easy for you to rapidly prepare data, engineer new features and subsequently automate model deployment and monitoring into your Snowflake data landscape, all with limited data movement. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production.

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

CIO Business Intelligence

MAY 9, 2024

Experimentation drives momentum: How do we maximize the value of a given technology? Via experimentation. This can be as simple as a Google Sheet or sharing examples at weekly all-hands meetings Many enterprises do “blameless postmortems” to encourage experimentation without fear of making mistakes and reprisal.

Enterprise 122

Enterprise Experimentation Sales Manufacturing 122

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

CIO Business Intelligence

MARCH 12, 2024

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. Gen AI is also reducing the time needed to complete testing, via automation, Ramakrishnan says.

Software 131

Software Experimentation Testing Cost-Benefit 131

Decision Management Solutions

DECEMBER 17, 2021

In the recent McKinsey article discussing designing next-generation credit-decisioning models they outlined four best practices for automated credit-decisioning models for banks as they continue their digital transformations. Digital lending based on high-performance credit-decisioning models, says McKinsey, lead to: Increased revenue.

Modeling 52

Modeling Visualization Experimentation Risk 52

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. This approach offers greater flexibility and control over workflow management. The introduction of mw1.micro

Metadata 75

Metadata Cost-Benefit Metrics Optimization 75

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

Dataiku

MAY 23, 2023

Once a data science project has progressed through the stages of data cleaning and preparation, analysis and experimentation, modeling, testing, and evaluation, it reaches a critical point.

Data Science 52

Data Science Experimentation Machine Learning Testing 52

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

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

DataKitchen

JANUARY 20, 2021

Develop/execute regression testing . Test data management and other functions provided ‘as a service’ . The center of excellence (COE) model leverages the DataOps team to solve real-world challenges. Examples of technologies that can be delivered ‘as a service’ include: Source code control repository. Deploy to production.

Metrics 243

Metrics Experimentation Measurement Testing 243

CIO Business Intelligence

OCTOBER 31, 2024

There’s value in that kind of tinkering and experimentation on the employee level, but you want to do it safely,” says Nick van der Meulen, a research scientist at MIT CISR. “A A large language model (LLM) used by a contact center to process the content and tone of conversations and provide real-time coaching to agents is a prime example.

Data-driven 142

Data-driven Unstructured Data Experimentation Consulting 142

CIO Business Intelligence

JULY 3, 2024

For many VMware customers, the licensing model and price changes were abrupt. Facing backlash from existing customers, Broadcom has attempted to explain the new product and licensing model with a hope that current customers can manage the transition. How about an increase of 500%?

Testing 85

Testing Modeling Marketing Experimentation 85

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. Enterprise developers began exploring proof of concepts (POCs) for generative AI applications, leveraging API services and open models such as Llama 2 and Mistral.

Optimization 75

Optimization Experimentation Metrics Modeling 75

The Unofficial Google Data Science Blog

JULY 22, 2020

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

Experimentation 95

Experimentation Statistics Testing Knowledge Discovery 95

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