Ontotext

JULY 24, 2023

Another concern relates to the definition of ‘data constraints.’ Nothing should be considered definitive until it is fact checked. And while there is a high expectation that LLM will mature rapidly – most activities and applications are still in their experimental phase. Connecting to a pre-trained LLM is based on APIs.

Modeling 98

Modeling Management Structured Data Data Architecture 98

DataRobot

MARCH 10, 2021

Contrast the dictionary definition with how the word is used. This is consistent with autonomous vehicle for driverless cars, a usage that is broader than the dictionary definition. The dictionary definition of automated is “operated by largely automatic equipment. ”. Is AI Autonomous?

Experimentation 145

Experimentation Machine Learning Key Performance Indicator Reporting 145

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

Experimentation 103

Experimentation Testing Optimization Measurement 103

CIO Business Intelligence

NOVEMBER 13, 2023

Reimagination of business processes sits at the core of digital transformation, and so, by definition, digital transformation challenges the status quo, throwing we-have-always-done-it-this-way sentiment out of the window. Leaders must clearly define what they want to achieve through digital transformation and how they plan to do it.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

CIO Business Intelligence

JUNE 7, 2023

From what I see across the nation, there is definitely an emphasis on STEM. We do this through design-thinking workshops, co-development hackathons, prototype construction, experimentations, and eventually the deployment of technologies and solutions in a real-world operational setting throughout various parts of the KAUST community.”

Digital Transformation 105

Digital Transformation Experimentation Technology Testing 105

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Many people who work with data have a narrow definition of being “done.” Definition of “done” means “it worked for me”. “I What is DataOps. Low error rates. Clear measurement and monitoring of results. Willful blindness.

Testing 157

Testing Dashboards Measurement Experimentation 157

CIO Business Intelligence

DECEMBER 19, 2023

If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation. In the 2023 State of Data Science and Machine Learning Report , only 18% of respondents said that at least half their machine learning models make it into production.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Rocket-Powered Data Science

JULY 7, 2019

Definitions of terminology frequently seen and used in discussions of emerging digital technologies. Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) Example applications: (1) High-definition and 3D video. (2) Career Relevance. NOTE: This page is a WIP = Work In Progress.).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

IBM Big Data Hub

FEBRUARY 1, 2024

At the same time, because of the system’s critical nature, achieving resilience is crucial while its definition extends beyond the crash fault tolerance in legacy critical infrastructure systems. The system must be resilient to a Byzantine fault , so that it can continue to operate even if parts of the system have been compromised.

Experimentation 98

Experimentation Modeling Finance Reporting 98

Perceptual Edge

APRIL 9, 2019

The new book, How Attention Works: Finding Your Way in a World Full of Distraction , by Stefan van der Stigchel, definitely qualifies as extraordinary. Stigchel is a professor in the Department of Experimental Psychology at Utrecht University in the Netherlands.

Visualization 75

Visualization Experimentation Advertising Management 75

Domino Data Lab

NOVEMBER 14, 2019

This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction. Yet, Bin Yu, W.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

DataRobot

JUNE 17, 2021

Personally, I think there are definitely horizons in math, biology, and physics that we may never reach… but maybe AI can change that. Traditionally, science has advanced in many cases by having brilliant researchers compete different hypotheses to explain experimental data, and then design experiments to measure which is correct.

Modeling 52

Modeling Experimentation Machine Learning Measurement 52

CIO Business Intelligence

FEBRUARY 14, 2024

Cost control Finops and cost control for cloud services continue to be a priority, and with so much gen AI usage relying on cloud AI services and APIs, CIOs will want to think about budgeting and automation, especially for AI development and experimentation. “If But in other areas, IT teams will look to increase budgets and spending.

IT 143

IT Metadata Data-driven Management 143

Sisense

MARCH 6, 2019

Gartner chose to group the rest of the keynote into three main messages according to the following categories: Here are some of the highlights as presented for each of them: Data Driven – “Adopt an Experimental Mindset”. At Sisense we’ve been preaching for BI prototyping and experimentation for quite a while now. Summing It Up.

Data Analytics 75

Data Analytics Analytics Experimentation Data-driven 75

Sisense

JULY 24, 2019

When the app is first opened, the user may be searching for a specific song that was heard while passing by the neighborhood cafe, or the user may want to be surprised with, let’s say, a song from the new experimental album by a Yemen Reggae folk artist. There are many activities going on with AI today, from experimental to actual use cases.

Analytics 89

Analytics Experimentation Metadata Big Data 89

Domino Data Lab

AUGUST 6, 2021

The early definition now accepted as standard in the industry is: “The use of models invariably presents model risk, which is the potential for adverse consequences from decisions based on incorrect or misused model outputs and reports.” The genesis of Model Risk Management was in the banking industry. Model implementation.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Cloudera

JANUARY 28, 2022

Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Let’s start with our definition of a hybrid data cloud. Simple, consistent and intuitive experience for data users and developers.

Slice and Dice 111

Slice and Dice Cost-Benefit Risk Data Governance 111

Domino Data Lab

SEPTEMBER 10, 2020

This means many projects get stuck in endless research and experimentation. Problem statements should ultimately: Include a problem definition. Problem Definition: I want to save costs by optimizing staffing rosters in my store without sacrificing customer experience. Identify a driver of cost or revenue within the business.

Modeling 101

Modeling IT Data Science Experimentation 101

Data Science and Beyond

APRIL 5, 2021

Overall, 2020 was definitely a good year for my participation in RLS and I’m planning on contributing more in 2021, especially with help around organising and conducting surveys in Southeast Queensland. My main "day job" focus in 2020 was on being the tech lead for Automattic’s new experimentation platform (ExPlat).

Experimentation 61

Experimentation Testing Publishing Measurement 61

Decision Management Solutions

MAY 12, 2021

The next step is to build the logic of the decision in a decision table using the Decision Model and Notation (DMN) standard, which is quickly becoming the definitive approach for sustained business engagement, improved traceability, and flexible analytic applications.

Experimentation 52

Experimentation Modeling Insurance Management 52

CIO Business Intelligence

JULY 27, 2023

We will definitely be in production with a couple by the end of the year,” Chan says. We did see a tremendous amount of personal experimentation going on. The MVP could in turn evolve into a proof-of-concept (POC), and from there, usually with the help of a strategic partner, to a production implementation.

IT 97

IT Insurance Strategy Risk 97

Data Science and Beyond

DECEMBER 23, 2018

The book focuses on randomised controlled trials and well-defined interventions as the basis of causal inference from both experimental and observational data. Since you already understand the definition of causal effect and the difference between association and causation, do not expect to gain deep conceptual insights from this chapter.

Deep Learning 103

Deep Learning Experimentation Data-driven Data Science 103

CIO Business Intelligence

JUNE 9, 2022

There’s huge opportunity for us to deliver services definitely and digital is an enabler for that. There’s a partnership with Nerve Centre Software to build electronic patient record (EPR) solutions, a digital workplace programme to digitise HR and back-off systems and experimentation with process automation.

Digital Transformation 89

Digital Transformation Consulting Experimentation Data-driven 89

Sisense

MARCH 26, 2021

To achieve this, he says, companies should find ways to lower the cost of experimentation, decrease the time to value, and scale successful experimentation into products quickly. With definitive answers to these four questions, you can find the right tools and strategies to help you achieve your business goals.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

Data Science 101

OCTOBER 15, 2023

That’s going to use the various existing computing technology in and around the experimentation of this new capability. There’s always two camps: Prescriptivists like strict definitions and defend the conceptual purity. QPUs, GPUs, CPUs, you name it.

Risk 107

Risk Marketing Consulting Technology 107

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

DataRobot

JUNE 8, 2021

Because it quantitatively identifies the common attributes of members of a group, it can inspire new persona definitions. In the twenty-first century, due to its simplicity, interpretability, and low computing load, cluster analysis became standard practice for customer segmentation. It can be unstable.

Data-driven 98

Data-driven Testing Marketing Experimentation 98

CIO Business Intelligence

JUNE 27, 2022

I do still contribute to open-source projects and when I can I try to contribute code to Sentry, but definitely not as much as I want. A lot of the current approaches feel very experimental and are tough to see as maintainable, so there’s certainly still room for growth here.

Software 111

Software Experimentation Testing Marketing 111

Ontotext

MARCH 29, 2021

More than 10 years ago we even had experimental support of what we called triplesets , which allowed the association of metadata to sets of statements. It is our hope that RDF-star is widely adopted and will be the definitive standard. Ontotext: How did Ontotext go about implementing RDF-star in GraphDB? . Ontotext’s GraphDB.

Metadata 59

Metadata IT Modeling Experimentation 59

O'Reilly on Data

APRIL 19, 2021

We’ll look at this later, but being able to reproduce experimental results is critical to any science, and it’s a well-known problem in AI. This is significant and definitely worth watching over the next few months. It’s more concerning that workflow reproducibility (3%) is in second-to-last place. Bottlenecks to AI adoption.

Enterprise 358

Enterprise Modeling Risk Manufacturing 358

Occam's Razor

AUGUST 22, 2011

Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. " The Definitive Guide To (8) Competitive Intelligence Data Sources! Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets. Web Analytics Standards: 26 New Metrics Definitions. Got Surveys?

KPI 124

KPI Metrics Measurement ROI 124

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. That will definitely stick. So, this is a big driver for the outcome because when you are saving money for the business, you can measure it and see its value. This applies to any industry.

Technology 59

Technology Risk Digital Transformation Measurement 59

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

Sisense

JUNE 30, 2019

That’s a bad situation, and you definitely need to know who’s in charge of what data. Encouraging a culture of experimentation is key to finding new ways to use data to drive revenue and keep your company competitive. But you do need to start coming up with answers to all of these tough questions. And the result is, nobody does.” .

Data Strategy 71

Data Strategy Strategy Consulting Experimentation 71

O'Reilly on Data

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. This approach is not novel.

IT 351

IT Testing Experimentation Software 351

Occam's Razor

APRIL 8, 2013

The word hypothesis means a lot of different things, but in this context I like this definition from Wikipedia the best: People refer to a trial solution to a problem as a hypothesis, often called an "educated guess”, because it provides a suggested solution based on the evidence. We’ve seen three case studies.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

SEPTEMBER 19, 2011

No answer is ever definitive, so act on the results immediately. * Having read this post what might be the biggest downside to experimentation? In the middle of the experiment don't start a new paid search campaign or tweeting like a crazy duck to the same set of customers. There are so many factors that can affect your results.

Measurement 119

Measurement Advertising Testing Marketing 119