O'Reilly on Data

OCTOBER 13, 2020

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed. Debugging AI Products.

Management 240

Management Metrics Machine Learning Modeling 240

O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 361

Marketing Experimentation Metrics Testing 361

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 327

Management Machine Learning Experimentation Metrics 327

Rocket-Powered Data Science

FEBRUARY 15, 2023

Friction occurs when there is resistance to change or to success somewhere in the project lifecycle or management chain. encouraging and rewarding) a culture of experimentation across the organization. FUD occurs when there is too much hype and “management speak” in the discussions. Test early and often.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

APRIL 12, 2024

This anticipated move could completely transform how these companies hire new employees and how they manage and deliver the technology employees use. Right now most organizations tend to be in the experimental phases of using the technology to supplement employee tasks, but that is likely to change, and quickly, experts say.

Experimentation 141

Experimentation Reporting Testing Statistics 141

O'Reilly on Data

OCTOBER 19, 2021

Since software engineers manage to build ordinary software without experiencing as much pain as their counterparts in the ML department, it begs the question: should we just start treating ML projects as software engineering projects as usual, maybe educating ML practitioners about the existing best practices? This approach is not novel.

IT 342

IT Testing Experimentation Software 342

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Sandbox Creation and Management. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. Testing and Data Observability. Meta-Orchestration.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Domino Data Lab

MAY 15, 2019

It focuses on his ML product management insights and lessons learned. If you are interested in hearing more practical insights on ML or AI product management, then consider attending Pete’s upcoming session at Rev. I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

CIO Business Intelligence

FEBRUARY 9, 2024

Maintain rigorous testing standards With gen AI most likely being utilized by a large number of the workforce in your organization, it’s important to train and educate employees on the pros and cons and use your corporate use policy as a starting point. The gaslighting, experimentation, and learning along the way are all part of the process.

IT 134

IT Experimentation Risk Testing 134

Domino Data Lab

MARCH 20, 2019

Models are so different from software — e.g., they require much more data during development, they involve a more experimental research process, and they behave non-deterministically — that organizations need new products and processes to enable data science teams to develop, deploy and manage them at scale. Domino 3.3

Management 97

Management Experimentation Data Science Modeling 97

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 97

Enterprise Experimentation Sales Optimization 97

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 128

Software Experimentation Testing Cost-Benefit 128

CIO Business Intelligence

JANUARY 19, 2024

Data science certifications give you an opportunity to not only develop skills that are hard to find in your desired industry, but also validate your data science know-how so recruiters and hiring managers know what they get if they hire you. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

Data Science 125

Data Science Machine Learning Predictive Modeling Experimentation 125

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. Session Summary. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

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 120

Experimentation Strategy Machine Learning Interactive 120

DataKitchen

JANUARY 20, 2021

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Develop/execute regression testing . Test data management and other functions provided ‘as a service’ . Agile ticketing/Kanban tools. Deploy to production.

Metrics 243

Metrics Experimentation Measurement Testing 243

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

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.

Cost-Benefit 139

Cost-Benefit Metrics Insurance Measurement 139

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. What Is Model Risk?

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

APRIL 24, 2024

Brkovich, who also teaches a financial management class for CIOs at Carnegie Mellon University, says, in his experience, the relationship between the CIO and the CFO is the most important relationship a CIO has. The most successful CIOs are those who spend time and energy on financial management,” he says.

Sales 123

Sales Finance Experimentation Cost-Benefit 123

CIO Business Intelligence

APRIL 15, 2024

Given the speed required, Lowden established a specialized team for the project to encourage a culture of experimentation and “moving fast to learn fast.” “You Three layers of content integrity Another big part of ensuring the integrity of the content was testing, which consisted of three layers. We don’t write all the code.

Testing 77

Testing Experimentation Data Quality Machine Learning 77

CIO Business Intelligence

NOVEMBER 4, 2022

The company’s multicloud infrastructure has since expanded to include Microsoft Azure for business applications and Google Cloud Platform to provide its scientists with a greater array of options for experimentation. For McCowan, the key is to give scientists any and all tools that allow them to explore their hypotheses and test theories.

Data Lake 109

Data Lake IT Experimentation Data-driven 109

CIO Business Intelligence

DECEMBER 19, 2023

Productivity improvements will likely come from experimenting with the platforms and tools that embed prompting and other natural language capabilities, while longer-term impacts will come from embedding the company’s intellectual property into privately managed large language models.

Digital Transformation 140

Digital Transformation Unstructured Data Machine Learning Risk Management 140

CIO Business Intelligence

JULY 28, 2023

In addition to bottom-line benefits, employees are often inspired and motivated by innovation – seeking job opportunities that encourage experimentation and embrace new ideas. To manage this data at scale, IT teams should invest in a modern data stack and build out a world-class architecture to maintain an agile edge as the company grows.

IT 97

IT Experimentation Digital Transformation Marketing 97

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. The Innovation Pipeline includes analytics development, QA, deployment and the rest of the change management processes for the Value Pipeline. Create tests. What is DataOps. Low error rates. Run the factory.

Testing 152

Testing Dashboards Measurement Experimentation 152

CIO Business Intelligence

JULY 11, 2023

For example, a good result in a single clinical trial may be enough to consider an experimental treatment or follow-on trial but not enough to change the standard of care for all patients with a specific disease. On the contrary, the software can still be deployed with one click on any public or private cloud, managed, and scaled accordingly.

Modeling 71

Modeling Testing Experimentation Risk Management 71

Decision Management Solutions

MARCH 26, 2020

Randomly select groups of customers and use the experimental approach on them, to prevent bias, and ensure a clean test Keep information on both groups – what you would normally do and what you experimented on – so you can compare the approaches later. Invest some time learning about experimental design and run your own.

Experimentation 72

Experimentation Recreation/Entertainment Optimization Testing 72

Cloudera

OCTOBER 18, 2023

Portfolio Optimization Analyze a portfolio of investments and identify opportunities to optimize returns while managing risk. This can help investors reduce the time and cost of manual portfolio management and potentially improve investment performance.

Cost-Benefit 78

Cost-Benefit Testing Machine Learning Optimization 78

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. Just don't fall for their bashing of all other vendors or their silly claims, false, of "superiority" in terms of running 19 billion combinations of tests or the bonus feature of helping you into your underwear each morning. And I meant every word of it.

Testing 112

Testing Experimentation Risk Optimization 112

CIO Business Intelligence

MARCH 10, 2022

Unlike Fujitsu’s move, IBM’s initial Z-as-a-service offering is not about managing customers off their mainframes and into the cloud. Wazi is a suite of tools IBM introduced back in 2020 with which developers can write z/OS applications and then test them in a z/OS sandbox on their own x86 hardware. Z as a service.

Sales 122

Sales Testing Experimentation Data Processing 122

DataRobot Blog

MARCH 16, 2023

This means they need the tools that can help with testing and documenting the model, automation across the entire pipeline and they need to be able to seamlessly integrate the model into business critical applications or workflows. Assured Compliance and Governance – DataRobot has always been strong on ensuring governance.

Experimentation 98

Experimentation Data-driven Modeling Metadata 98

CIO Business Intelligence

MAY 30, 2024

Another gen AI application winning over CIOs is its knack for coding, according to Alessio Maffei, ICT manager of Milan-based student and family-focused travel company Inter-studioviaggi. “At Having overcome the initial perplexity about ChatGPT, Maffei tested gen AI in coding activity and found great benefits.

Cost-Benefit 96

Cost-Benefit Sales Modeling Experimentation 96

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training.

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

CIO Business Intelligence

NOVEMBER 13, 2023

Because of this, IT leaders must take a proactive approach to change management , communicating the benefits of digital transformation and providing support and training to employees. Foster a culture of innovation: Digital transformation requires innovation and experimentation, and thus a culture for embracing new technologies and ideas.

Digital Transformation 139

Digital Transformation Cost-Benefit Experimentation Measurement 139

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. Involve them during the creation and testing process, so they develop a sense of ownership for the solutioning systems.

Experimentation 88

Experimentation Digital Transformation Technology Measurement 88

Corinium

JUNE 6, 2019

Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

datapine

MAY 20, 2020

To ensure that your customer-facing communications and efforts are constantly improving and evolving, investing in customer relationship management (CRM) is vital. A CRM report, or CRM reporting, is the presentational aspect of customer relationship management. Try our professional dashboard software for 14 days, completely free!

Dashboards 265

Dashboards Reporting KPI Visualization 265