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

JUNE 15, 2023

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). For many, their feelings are based on sound experience.

Management 113

Management Experimentation Optimization Enterprise 113

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies.

Management 332

Management Machine Learning Experimentation Metrics 332

O'Reilly on Data

SEPTEMBER 15, 2020

Technical sophistication: Sophistication measures a team’s ability to use advanced tools and techniques (e.g., Technical competence: Competence measures a team’s ability to successfully deliver on initiatives and projects. Technical competence results in reduced risk and uncertainty.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

Alation

DECEMBER 20, 2022

Failing to measure the impact of digital transformation against corporate strategies and OKRs. The measurement of an improvement and transformation is important,” Shaun Guthrie , senior VP of IT at Peavy Industries, points out “[It’s] Not just whether you improved revenue, efficiency, etc., No place is the risk higher than data.

Digital Transformation 96

Digital Transformation Scorecard Measurement Experimentation 96

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

CIO Business Intelligence

AUGUST 17, 2023

But, as with any big new wave, there is a risk of once-promising projects being washed up and there are clear and obvious concerns over governance, quality and security. Generative AI is a key part of our business strategy, facilitating growth with AI-enabled processes already live in production,” he says.

Risk 96

Risk Cost-Benefit Strategy Experimentation 96

CIO Business Intelligence

OCTOBER 9, 2023

Tech leaders must focus on a business-aligned tech strategy to deliver on the competing mandates, Guarini says. “A A business-aligned technology strategy is built on architecture and agility, the ‘what’ and the ‘how’ of better alignment,’’ he explains. Performance improves when the culture of collaboration is strong.”

Strategy 136

Strategy Technology Experimentation Testing 136

Ontotext

JULY 6, 2023

Let’s consider an example about risk and opportunity event detection. Case studies The risk and opportunity event detection use case discussed above combines all of Ontotext’s capabilities: storing and managing large amounts of data adding meaning to it (e.g.,, The solution brings many business benefits.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CIO Business Intelligence

OCTOBER 18, 2023

But if there are any stop signs ahead regarding risks and regulations around generative AI, most enterprise CIOs are blowing past them, with plans to deploy an abundance of gen AI applications within the next two years if not already. CarMax CITO Shamim Mohammed confirms his company was using OpenAI’s GPT-3.x

Risk 139

Risk Manufacturing Enterprise Technology 139

CIO Business Intelligence

FEBRUARY 8, 2024

Frank LaQuinta is head of digital, data, and operations at Edward Jones, a role that encompasses responsibility for the financial services firm’s technology, digital, and data leadership, vision, and strategy. When you decide on strategy or where to play, you must play to win. Challenging each other to improve and take risks.

Strategy 90

Strategy Experimentation Risk Technology 90

Smart Data Collective

JULY 9, 2023

This article is going to provide some great insights on developing strategies for unlocking additional value from an online business, which can do a lot to boost revenue and catapult the enterprise to new heights. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Corinium

JUNE 6, 2019

Regulations and compliance requirements, especially around pricing, risk selection, etc., Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. In addition, the traditional challenges remain.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

APRIL 18, 2022

While it’s critical for tech leaders to communicate throughout a digital project, it’s also important to communicate appropriately, says Rich Nanda, US strategy and analytics offerings leader, at Deloitte Consulting. Rich Nanda, US strategy and analytics offerings leader, Deloitte Consulting. They invest in cloud experimentation.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

CIO Business Intelligence

JUNE 6, 2023

CIOs should have plans for the upsides and also develop risk mitigation strategies. CIOs should define a specialized co-creation model , optimized for collaborating with startups, that can be very different from their in-house development strategies and partnerships with larger service providers.

Key Performance Indicator 106

Key Performance Indicator Cost-Benefit Enterprise Experimentation 106

CIO Business Intelligence

MAY 16, 2023

To gain perspective, Iron Mountain sponsored research by Quadrant Strategies, which used digital listening technologies to study public online conversation trends among enterprise decision-makers. It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises.

Advertising 95

Advertising Recreation/Entertainment Experimentation Enterprise 95

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. By providing your employees with psychological safety, an innovation-centric purpose, and encouragement — you can help them find the courage to risk failure in pursuit of creative ambition.” . Change Management, Innovation, IT Leadership, IT Strategy

Experimentation 132

Experimentation Consulting Technology Machine Learning 132

DataRobot Blog

AUGUST 10, 2022

NHS organisations are used to using workforce KPIs to manage staffing levels, but the real opportunity is being able to identify staff that are at risk of leaving post and to implement strategies to retain their much needed talent. Resetting urgent care performance and delivery. Improving patient outcomes through a data-first approach.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Smart Data Collective

FEBRUARY 4, 2020

Of all clinical trial failures between 2013 and 2015, 24% of new drugs were rejected due to safety concerns and 15% were rejected due to an incompatible corporate strategy (not profitable enough, the company was acquired mid-trial or went bankrupt, etc.). AI Casts a Wider Net for Clinical Trial Participants.

Experimentation 100

Experimentation Testing Modeling Strategy 100

Corinium

APRIL 25, 2019

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. Life insurance needs accurate data on consumer health, age and other metrics of risk. Now, there is a data risk here. And then there is the Cloud.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

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. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 94

Cost-Benefit Modeling Manufacturing Interactive 94

Cloudera

JUNE 6, 2019

Multi-tenancy Strategies with Virtual Private Clusters. Prior to using Virtual Private Clusters, cluster admins need to decide on an isolation strategy for the compute-only clusters. Here are three possible strategies they may consider: 1) By user, team, or business unit. In other words, tenants map to human beings.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Ontotext

NOVEMBER 2, 2023

And while there is a great deal of experimentation underway, most organizations have only scratched the surface in a use-case-by-use-case fashion. It can give the organization a dedicated team to evangelize and execute the strategy, score incremental wins to demonstrate value and leverage best practices and economies of scale along the way.

IT 69

IT Cost-Benefit Data-driven Technology 69

Sisense

NOVEMBER 23, 2020

Some challenges still remain, however, such as underdeveloped data capabilities, the ability to clearly articulate a business problem, and then measure the data/technical solution in a quantifiable way. This all contributes to a culture of innovation, experimentation, and exploration. The changing role of the data professional.

Analytics 98

Analytics Data-driven Marketing Reporting 98

Occam's Razor

JANUARY 9, 2012

A huge part of the last few years for me have been about bringing more data, better strategies, more powerful tools, ever more impactful keynotes to people around the world. Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns.

Marketing 140

Marketing B2B Measurement Risk 140

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. These measurement-obsessed companies have an advantage when it comes to AI.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). There is such little risk to actually trying. Usually for free.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

MARCH 7, 2016

Why evolve the strategy now? Some recent events made me wonder what the best strategy for a business is. And then, as Google evolves its strategy from it's own point of view, one result was a tweak to it's algorithm. While I'm pointing out my example, your brand faces the same risks. Just Facebook has 1.2

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

OCTOBER 23, 2006

‡ Never start with clickstream, it becomes “old” quickly ‡ People care about their paychecks ‡ Execution strategy: ~ Identify Senior Management hot buttons ~ Exhibit daily that you can • increase revenue • trim costs • improve customer satisfaction. Attend strategy and operational meetings.

Data-driven 117

Data-driven Metrics KPI Reporting 117

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. It would enable faster experimentation with easy, protected, and governed access to a variety of data.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

O'Reilly on Data

DECEMBER 9, 2019

The probability of an event should be measured empirically by repeating similar experiments ad nauseam —either in reality or hypothetically. As the number of experimental trials N approaches infinity, the probability of E equals M/N. As the number of experimental trials N approaches infinity, the probability of E equals M/N.

Statistics 27

Statistics Uncertainty Risk Marketing 27

IBM Big Data Hub

OCTOBER 20, 2023

Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development. Additionally, it’s crucial to consider the deployment and usage strategy for your AI platform. Will it be implemented on-premises or hosted using a cloud platform?

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data." 2014): 243-263. Kang, Joseph DY, and Joseph L.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

AUGUST 26, 2019

To support the iterative and experimental nature of industry work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt the “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Beyond this, we also get a measure of the variability.

Testing 79

Testing Modeling Machine Learning Metrics 79