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

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 362

Marketing Experimentation Metrics Testing 362

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

Corinium

JANUARY 30, 2020

Ahead of her presentation at CDAO UK, we spoke with Quantum Metric’s Marina Shapira about predictive analytics, why companies should embrace a culture of experimentation how and CAOs and CXOs can work together effectively. What is behavioural research? And what role should it play in an organization's data and analytics strategy?

Metrics 300

Metrics Experimentation Predictive Analytics Strategy 300

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

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. Over time, using machine learning and AI, CBRE has managed to reduce manual lease processing times by 25% and cut positive false alarms in managed commercial facilities by 65%. And those experiments have paid off. And those experiments have paid off.

Experimentation 122

Experimentation Strategy Machine Learning Interactive 122

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

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 289

Strategy Experimentation Uncertainty Machine Learning 289

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. Taking a Multi-Tiered Approach to Model Risk Management. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

FEBRUARY 16, 2024

ADP’s aggressive digital transformation has not only cut costs and enabled more innovation but, most importantly, it has facilitated the payroll administrator’s evolution into a human capital management (HCM) service provider, which provides services to its customers from “hire to retire,” Nagrath says.

Digital Transformation 111

Digital Transformation Experimentation Cost-Benefit Machine Learning 111

DataRobot Blog

MARCH 8, 2023

Every modern enterprise has a unique set of business data collected as part of their sales, operations, and management processes. This partnership between the two brings together DataRobot’s multimodal machine learning capabilities with SAP’s extensive business data and processes to create business-centric ML solutions.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

MAY 23, 2022

The cloud is great for experimentation when data sets are smaller and model complexity is light. However, this repatriation can mean more headaches for data science and IT teams to design, deploy and manage infrastructure optimized for AI as the workloads return on premises.

Experimentation 126

Experimentation Cost-Benefit Data Lake Data Science 126

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

MAY 10, 2024

To make that possible, JSOC reaches into the company’s cloud infrastructure to access data using a range of technologies, including AWS Gateway, Aurora, OpenShift, Secrets Manager, Athena, and Kafka, to name a few. You can’t just go to an IT organization and ask them to build an AI model for retirement planning.

Machine Learning 112

Machine Learning Experimentation Digital Transformation Modeling 112

CIO Business Intelligence

APRIL 29, 2024

They need to have a culture of experimentation.” Artificial Intelligence, Staff Management The CIO as AI champion and coach The employee concerns voiced in the survey suggest that CIOs need to be advocates for AI within their organizations, says Arun Chandrasekaran, an analyst at Gartner focused on emerging technologies.

Experimentation 129

Experimentation Forecasting Risk Consulting 129

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 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

MAY 16, 2024

The new AI features are currently being rolled out experimentally to some customers, Camunda said. Business Process Management, Generative AI, Process Improvement “Unless you have a solid understanding of what you would like to achieve with process automation, [using] AI all over the place doesn’t necessarily help,” he said.

Experimentation 84

Experimentation Machine Learning Technology Modeling 84

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

CIO Business Intelligence

MARCH 12, 2024

Software and coding development remain a high-value area for experimentation, in addition to content development and knowledge management, in an effort to boost operational efficiencies,” he says. We had to build a lot of experimental and testing frameworks to continuously evaluate gen AI.”

Software 129

Software Experimentation Testing Cost-Benefit 129

CIO Business Intelligence

NOVEMBER 13, 2023

According to Rocket Software’s survey, the top barriers to managing DevSecOps and mainframe security were limited automation and integration capabilities and incompatibility between legacy mainframe security tools and modern DevOps tool chains.

Experimentation 111

Experimentation Software Data Processing Optimization 111

CIO Business Intelligence

AUGUST 30, 2023

Moreover, enterprises are more inclined these days to focus on shorter horizons rather than big-bang initiatives that take years to provide returns, says Sunil Mehta, CIO at business and management consultancy BDO India. The portfolio of programs would need to be managed through stage gates.

Digital Transformation 98

Digital Transformation Experimentation ROI Risk 98

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

DataKitchen

DECEMBER 1, 2022

And finally, it’s about assisting organizations in creating a culture of experimentation where failure is okay because you know you’ll have the proper data infrastructure, processes, and policies to quickly identify and mitigate any issues. With DataOps, data teams can ship data analytics systems faster and more confidently.

Experimentation 130

Experimentation Data-driven Risk Optimization 130

Cloudera

NOVEMBER 19, 2021

We recognise that experimentation is an important component of any enterprise machine learning practice. But, we also know that experimentation alone doesn’t yield business value. We are excited by the endless possibilities of machine learning (ML). Organizations need to usher their ML models out of the lab (i.e.,

Machine Learning 120

Machine Learning Modeling Experimentation IT 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. Test data management and other functions provided ‘as a service’ . The beauty of DataOps is that you don’t have to choose between centralization and freedom. Deploy to production.

Metrics 243

Metrics Experimentation Measurement Testing 243

O'Reilly on Data

JANUARY 11, 2022

What does “reproducibility” mean if the model is so large that it’s impossible to reproduce experimental results? We’ll also come to realize that, from the start, Amazon’s core competency has been logistics and supply chain management.

Experimentation 297

Experimentation Modeling Strategy Machine Learning 297

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. Only then will they venture into experimentation or make bold attempts to foster innovation, for they know that their leader has their back.

Experimentation 88

Experimentation Digital Transformation Technology Measurement 88

AWS Big Data

FEBRUARY 12, 2024

About Redshift and some relevant features for the use case Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that offers simple operations and high performance. E.g., use the snapshot-restore feature to quickly create a green experimental cluster from an existing blue serving cluster.

Data Warehouse 100

Data Warehouse Analytics Snapshot Cost-Benefit 100

CIO Business Intelligence

FEBRUARY 26, 2024

Empower employees to gain skills in data science, data analytics, ML, and project management. Embedding innovation into an organization often requires a change in mindset — one where experimentation is rewarded, and failed projects are seen as an important part of the learning process.

Experimentation 118

Experimentation Cost-Benefit Digital Transformation Risk 118

CIO Business Intelligence

AUGUST 2, 2023

Interestingly, non-IT leaders were more likely to report actively using generative AI (73%) than IT leaders (59%), suggesting there’s plenty of experimentation going on beyond the purview of the IT department. Other respondents were managers, directors, or VPs.

Enterprise 93

Enterprise Experimentation Manufacturing Risk 93

CIO Business Intelligence

AUGUST 4, 2023

Transitioning from mechanical challenges, the global freight organization has embraced more intricate trials, those of remote management, digitization, and preserving technical expertise and quality in the face of emerging obstacles. In the new technological era, perhaps no role has seen a more profound upheaval than that of the CIO.

IoT 87

IoT Manufacturing Experimentation Digital Transformation 87

CIO Business Intelligence

JUNE 16, 2022

Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models.

IT 123

IT Experimentation IoT Data-driven 123

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

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. In fact, for security, compliance, and efficiency reasons, CIOs will want to carefully manage which data generative AI has access to.

IT 142

IT Metadata Data-driven Management 142

CIO Business Intelligence

APRIL 25, 2023

It’s hard to achieve a deep, experiential understanding of new technology without experimentation. Leaders should define a process for evaluating these AI technology developments early, as well as an infrastructure and environment to support experimentation. Learn more about Protiviti’s Artificial Intelligence Services.

Experimentation 108

Experimentation Enterprise Deep Learning Modeling 108

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

DataRobot Blog

NOVEMBER 15, 2022

At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. Sara added that driving digital transformation was not just a technology initiative—but rather an all-encompassing change management exercise. Explore the DataRobot platform today.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52