datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

FEBRUARY 16, 2024

ADP combines various datasets and analytics technologies and builds algorithms and machine learning models to develop custom solutions for its clients, such as determining salary ranges for nurses in a specific state that a healthcare client may be evaluating for relocation. We are still forming [a plan] on how we’re going to do it.”

Digital Transformation 116

Digital Transformation Experimentation Cost-Benefit Machine Learning 116

Domino Data Lab

JUNE 23, 2019

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. Be aware that machine learning often involves working on something that isn’t guaranteed to work.

Management 110

Management Machine Learning Experimentation Metrics 110

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

CIO Business Intelligence

FEBRUARY 22, 2024

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

IT 105

IT Digital Transformation IoT Cost-Benefit 105

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Data Warehouse 72

CIO Business Intelligence

APRIL 18, 2022

Given the nature of its business, Charles River is implementing cutting-edge technologies like AI and machine learning. It’s the leader’s role to create the space for [the team] to be able to test and learn,’’ he says, “and remove impediments that slow them down. They invest in cloud experimentation.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

DataRobot

JANUARY 13, 2022

Many companies find that they have a treasure trove of data but lack the expertise to use it to improve ROI. To move from experimental AI to production-level, trustworthy, and ROI-driven AI, it’s vital to align data scientists, business analysts, domain experts, and business leaders to leverage overlapping expertise from these groups.

ROI 52

ROI Machine Learning Experimentation Data Science 52

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. Closing the value gap and reducing the overall AI cycle time means addressing the individual needs of each stakeholder group within the machine learning lifecycle. Request a demo.

Big Data 52

Big Data Experimentation Machine Learning Data-driven 52

DataRobot Blog

JANUARY 12, 2023

trillion predictions for customers around the globe, DataRobot provides both a strong machine learning platform and unique data science services that help data-driven enterprises solve critical business problems. Proven use cases and a decade of expertise helps organizations deliver ROI with responsible, enterprise-grade ML.

Management 59

Management Data-driven ROI Data Science 59

Sisense

JULY 1, 2021

“We know in marketing that one of the most powerful ideas is experimentation,” Scott told Sisense. What has held that back is that the gap between idea and implementation has been a real bottleneck for how much experimentation can happen.”. We’re leaning on more and more machines to help us identify patterns or anomalies,” said Scott.

Marketing 52

Marketing Experimentation Marketing Analytics ROI 52

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. A key trend is the adoption of multiple models in production.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

Ontotext

APRIL 3, 2024

W hen you try to automate business processes, semantics, and machine learning , knowledge graphs can bring a lot of value. Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. Show me the ROI.” They are the best.”

Technology 45

Technology Risk Digital Transformation Measurement 45

CIO Business Intelligence

APRIL 9, 2025

The rise of machine learning in enterprise analytics As an enterprise architect in consumer goods, I experienced how machine learning captures the nuance of business semantics through pattern matching and it ultimately helped everyone in our product organization realize that no single source of truth existed for product data.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

JUNE 16, 2022

IT funding might be on the rise, but the ROI for the business from technology investments isn’t as high as it should be. Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models.

IT 135

IT Experimentation IoT Data-driven 135

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. Given the two points above, that’s okay—there are good ways to direct data exploration toward ROI. Friction ensued.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Corinium

APRIL 25, 2019

What do you recommend to organizations to harness this but also show a solid ROI? Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case. How fast are the advances you’re seeing in AI at the moment?

Insurance 150

Insurance Risk IoT Data-driven 150

Decision Management Solutions

JUNE 25, 2019

I presented on Backwards Engineering – planning Machine Learning (ML) deployment in reverse. Her presentation really showed the importance of persistence, experimentation and lateral thinking in developing an analytic solution. Plus, he had a great shout-out to CRISP-DM, a framework we really like too.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Machine Learning 75

CIO Business Intelligence

JANUARY 13, 2025

Shift AI experimentation to real-world value Generative AI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.

Experimentation 140

Experimentation Strategy ROI Digital Transformation 140

Timo Elliott

JANUARY 27, 2025

Skill Gaps : Leveraging AI requires a workforce skilled in data science, machine learning, and related disciplines. Cultural Resistance : Adopting AI often requires a shift in corporate culture, encouraging experimentation and data-driven decision-making.

Manufacturing 52

Manufacturing Cost-Benefit Experimentation ROI 52

O'Reilly on Data

APRIL 15, 2025

Error analysis: the single most valuable activity in AI development and consistently the highest-ROI activity. Instead of committing to specific outcomes, they commit to a cadence of experimentation, learning, and iteration. But heres my experimentation roadmap. When everything is important, nothing is. The alternative?

Experimentation 332

Experimentation Testing Metrics Measurement 332

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? These capabilities are no longer theoretical or experimental. Frameworks for measuring ROI The good news?

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78