DataRobot Blog

NOVEMBER 15, 2022

A packed keynote session showed how repeatable workflows and flexible technology get more models into production. Our in-booth theater attracted a crowd in Singapore with practical workshops, including Using AI & Time Series Models to Improve Demand Forecasting and a technical demonstration of the DataRobot AI Cloud platform.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

IBM Big Data Hub

MAY 9, 2023

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models.

Metadata 76

Metadata Risk Experimentation Dashboards 76

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. They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Platforms and practices not optimized for AI.

Metadata 101

Metadata Risk Risk Management Experimentation 101

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

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. It is also important to have a strong test and learn culture to encourage rapid experimentation. It is fast and slow.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

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

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

Smarten

APRIL 18, 2023

and GPT-4 families of large language models, and fine-tuned using supervised and reinforcement learning techniques. While new medical techniques and tools can take time to refine and prove, doctors often leverage experimental techniques to save lives. One of the most intriguing AI developments is the recent focus on ChatGPT.

Digital Transformation 52

Digital Transformation Experimentation ROI Technology 52

CIO Business Intelligence

APRIL 6, 2022

The race to embrace digital technologies to compete and stay relevant in emerging business models is compelling organizations to shift focus. While enterprises invest in innovation, key challenges such as successful sustenance, ROI realization, scaling and accelerating still remain. . Accelerate Innovation.

Experimentation 103

Experimentation Data Lake Uncertainty Enterprise 103

CIO Business Intelligence

JANUARY 2, 2024

He plans to scale his company’s experimental generative AI initiatives “and evolve into an AI-native enterprise” in 2024. It involves reimagining our strategies, business models, processes and culture centered around AI’s capabilities, to reshape how we work and drive unparalleled productivity and innovation,” he says.

IT 144

IT Cost-Benefit Statistics Consulting 144

CIO Business Intelligence

DECEMBER 29, 2023

Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. Also, CIOs are asking what processes other people are using around determining proof of concepts, use cases, and ROI for generative AI,” he says.

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

FineReport

DECEMBER 11, 2019

You’ll learn about the concept of big data and how to use big data—from computing ROI and big data strategies that drive business cases to the overall development and specific projects. The big news is that we no longer need to be proficient in math or statistics, or even rely on expensive modeling software to analyze customers.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Ontotext

APRIL 3, 2024

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.” So, I see two models there: the language model, unbounded and trained on general human knowledge, and the one bounded by enterprise context. They are the best.”

Technology 59

Technology Risk Digital Transformation Measurement 59

Smarten

NOVEMBER 3, 2017

Business users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Customer Lifetime Value ROI, Buzz Monitoring, Click Fraud. PPC / SEM Analytics: 5 Actionable Tips To Improve ROI. Google Analytics Maximized: Deeper Analysis, Higher ROI & You.

KPI 124

KPI Metrics Measurement ROI 124

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

O'Reilly on Data

SEPTEMBER 15, 2020

Customer stakeholders are the people and companies that advertise on the platform, and are most concerned with ROI on their ad spend. In my book, I introduce the Technical Maturity Model: I define technical maturity as a combination of three factors at a given point of time. characters, words, or sentences).

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

DataRobot Blog

JANUARY 12, 2023

The platform suggests the best possible model quickly, while reducing production and implementation time. DataRobot provides a single, open, AI/ML platform and service that helps deliver fast, ROI-driven model experimentation and reliable production models. No data is stored by DataRobot.

Management 59

Management Data-driven ROI Cost-Benefit 59

Occam's Razor

AUGUST 13, 2012

Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. I explain three different models (Online to Store, Across Multiple Devices, Across Digital Channels) and for each I've highlighted: 1. What's possible to measure. That is the solution.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

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. Legal concerns, risk, compliance.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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. And then you’ll do a lot of work to get it out and then there’ll be no ROI at the end.

Management 110

Management Machine Learning Experimentation Metrics 110

Sisense

JULY 1, 2021

Human thinking will revolve around creating and controlling models, since applying analytical judgment about how and when to use models is still a uniquely human ability. We know in marketing that one of the most powerful ideas is experimentation,” Scott told Sisense. Scott has dubbed this new breed “augmented marketers.”

Marketing 52

Marketing Experimentation Marketing Analytics ROI 52

Decision Management Solutions

JUNE 25, 2019

The last mile – getting ML models embedded into production systems – is critically important for analytic value and yet it is hard and often neglected. Her presentation really showed the importance of persistence, experimentation and lateral thinking in developing an analytic solution.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

Corinium

APRIL 25, 2019

I’ve found many IT as well as Business leaders have a mental model of data in that it is simply part of, or belongs to, a specific database or application, and thus they falsely conclude that just procuring a tool to protect that given environment will sufficiently protect that data. This is a much more proactive and scalable model.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. 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. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

FEBRUARY 4, 2020

Keep in mind that a metric like your CTR (click-through-rate) or the number of sessions should be understood in their globality, and not an absolute truth: increasing them will not systematically generate more profit or rise the ROI (return on investment) displayed on this dashboard. 3) Online Advertising Performance. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

MARCH 23, 2010

For big success you'll need to have a Multiplicity strategy: So when you step back and realize at the minimum you'll also have to use one Voice of Customer tool (for qualitative analysis), one Experimentation tool and (if you want to be great) one Competitive Intelligence tool… do you still want to have two clickstream tools?

Analytics 118

Analytics Consulting Metrics Experimentation 118

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

Occam's Razor

OCTOBER 19, 2010

If you can show ROI on a DW it would be a good use of your money to go with Omniture Discover, WebTrends Data Mart, Coremetrics Explore. Experimentation and Testing Tools [The "Why" – Part 1]. You simply cannot survive in this world with a clickstream mental model. Experimentation and Testing Tools [The "Why" – Part 1].

Analytics 135

Analytics Testing Measurement Optimization 135

CIO Business Intelligence

AUGUST 1, 2023

The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Improving customer support is a quick win for delivering short-term ROI from LLMs and AI search capabilities. It might actually be worth something by cleaning it up and using an LLM.”

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

Smarten

JULY 3, 2017

It can also improve its time to market and competitive advantage, its ROI and its TCO. Tools like plug n’ play predictive analysis and smart data visualization ensure data democratization and drastically reduce the time and cost of analysis and experimentation.

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

Occam's Razor

APRIL 29, 2013

PS: Bonus : Facebook Advertising / Marketing: Best Metrics, ROI, Business Value. Don't waste your marketing and advertising on targeting, delivery and engagement mental models that were created in the age of Mad Men. Leverage the mental models of our day and age and you'll be immensely successful. Not going to happen.

Marketing 166

Marketing Metrics Advertising Measurement 166