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

CIO Business Intelligence

APRIL 2, 2024

HBR’s “ The Value of Digital Transformation ” reports, “While 89% of large companies globally have a digital and AI transformation underway, they have only captured 31% of the expected revenue lift and 25% of expected cost savings from the effort.” While the CIO sees the big picture, their peers need to know how the change will benefit them.”

Management 140

Management Digital Transformation Testing Experimentation 140

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.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

DECEMBER 19, 2023

Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control. Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

IBM Big Data Hub

NOVEMBER 3, 2023

Moreover, costs are always an important consideration: businesses can’t afford to invest in every possible opportunity without evidence of added value. This is why it’s important to empower more business professionals to benefit from events. We’ve seen them get stuck all-together due to costs and skills constrains.

Cost-Benefit 78

Cost-Benefit Experimentation Testing Digital Transformation 78

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 90

Cost-Benefit Modeling Manufacturing Interactive 90

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.

Experimentation 103

Experimentation Testing Optimization Measurement 103

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. Be realistic about the costs of digital transformation and allocate sufficient human capital and financial capital to achieve your goals.

Digital Transformation 143

Digital Transformation Cost-Benefit Experimentation Measurement 143

Corinium

JUNE 6, 2019

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

JANUARY 9, 2024

Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Semantic search In semantic search, the search engine uses an ML model to encode text or other media (such as images and videos) from the source documents as a dense vector in a high-dimensional vector space.

Cost-Benefit 91

Cost-Benefit Visualization Modeling Machine Learning 91

CIO Business Intelligence

AUGUST 17, 2023

We’ve been shortlisting and building out potential proof-of-concept options and modelling revenue impact and already taken one concept through our innovation lab and into live production.” We’re testing ChatGPT at an individual level,” he says. “An Medica’s O’Brien issues a caution as well.

Risk 98

Risk Cost-Benefit Strategy Experimentation 98

Cloudera

JANUARY 30, 2019

Data scientists require on-demand access to data, powerful processing infrastructure, and multiple tools and libraries for development and experimentation. Run experiments with historical reference for hyperparameter tuning, feature engineering, grid searches, A/B testing and more. Sound familiar? What is CDSW?

Data Science 71

Data Science Machine Learning Experimentation Cost-Benefit 71

CIO Business Intelligence

JULY 31, 2023

As vendors add generative AI to their enterprise software offerings, and as employees test out the tech, CIOs must advise their colleagues on the pros and cons of gen AI’s use as well as the potential consequences of banning or limiting it. How has, say, ChatGPT hit your business model?” How is your business impacted by generative AI?

Strategy 98

Strategy Risk Enterprise Risk Management 98

Smarten

NOVEMBER 3, 2017

Empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff. Empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Occam's Razor

SEPTEMBER 19, 2011

How do you get over the frustration of having done attribution modeling and realizing that it is not even remotely the solution to your challenge of using multiple media channels? Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. The people.

Measurement 119

Measurement Advertising Testing Marketing 119

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 69

Cost-Benefit Metrics Insurance Measurement 69

CIO Business Intelligence

APRIL 24, 2024

The first use of generative AI in companies tends to be for productivity improvements and cost cutting. But there are only so many costs that can be cut. CIOs are well positioned to cut costs since they’re usually well acquainted with a company’s digital processes, having helped set them up in the first place.

Sales 119

Sales Finance Experimentation Cost-Benefit 119

Occam's Razor

JUNE 4, 2018

Present a yummy spreadsheet that quantifies the cost of inaction , how much money you’ll lose by not delivering a 25% improvement every week. Yet, this incredible benefit was not a part of YouTube TV’s merchandizing strategy from day one. Not easy, but your business model has to change to survive.). Welcome to Nudging.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

O'Reilly on Data

SEPTEMBER 15, 2020

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

DataRobot Blog

MARCH 16, 2023

release, we’ve made it easy for you to rapidly prepare data, engineer new features and subsequently automate model deployment and monitoring into your Snowflake data landscape, all with limited data movement. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production.

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

Occam's Razor

AUGUST 12, 2013

than multi-channel attribution modeling. By the time you are done with this post you'll have complete knowledge of what's ugly and bad when it comes to attribution modeling. You'll know how to use the good model, even if it is far from perfect. Multi-Channel Attribution Models. Linear Attribution Model.

Modeling 161

Modeling Optimization Marketing Interactive 161

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. Other estimators, such as those based on matching and subclassification, may benefit from the balancing property, but the discussion of those estimators is postponed to a later post.

Statistics 44

Statistics Optimization Modeling Experimentation 44

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. Testing is another area that tends to get neglected, so automated unit test generation will help you get much broader test coverage.

Modeling 111

Modeling Testing Cost-Benefit Experimentation 111

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. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

AWS Big Data

JULY 26, 2023

Exploring the vector engine’s capabilities Built on OpenSearch Serverless, the vector engine inherits and benefits from its robust architecture. From preview to GA and beyond Today, we are excited to announce the preview of the vector engine, making it available for you to begin testing it out immediately.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

CIO Business Intelligence

FEBRUARY 3, 2023

More recently, The Royal Mint has evolved its business model in the face of declining cash usage, from its core business of coins and metal manufacturing through to bullion trading, a new consumer business and jewellery line, as well as tentative steps into digital gold and recycling e-waste. How do they benefit you?

IT 52

IT Experimentation Scorecard Digital Transformation 52

DataRobot Blog

FEBRUARY 15, 2023

In addition, it’s essential that models comply with regulations and treat customers fairly, making it more important than ever to monitor models in production. The cost of real estate has been a rollercoaster ride in this challenging macroeconomic climate. It is possible to manage the end-to-end AI lifecycle in one solution.

Modeling 52

Modeling Machine Learning Cost-Benefit Metrics 52

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.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

datapine

FEBRUARY 4, 2020

We will go into detail with each report below in the article, but it is important to keep in mind that low-level metrics such as CPC or CTR will not take part in the strategic report that focuses on customers’ costs. This is useful since seniors need to know and control customer costs and the quality of leads. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

or "does this product change benefit users?" Interventional uncertainty : the gap between the true benefit of an intervention arising from a decision, and an evaluation of that benefit. It turns out, they have some mathematical models for how this might play out, so they could do this in silico. This is great.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Cloudera

MARCH 2, 2022

Large user communities of analysts and developers benefit from Impala’s fast query execution, helping them get their work done more effectively. Experimental evaluation: We did extensive evaluation of the technique to see how it affects performance and memory utilization. Analytical SQL workloads use aggregates and joins heavily.

Data Warehouse 85

Data Warehouse Optimization Analytics Sales 85

Domino Data Lab

AUGUST 26, 2019

Data scientists, machine learning (ML) researchers, and business stakeholders have a high-stakes investment in the predictive accuracy of models. Data scientists and researchers ascertain predictive accuracy of models using different techniques, methodologies, and settings, including model parameters and hyperparameters.

Testing 79

Testing Modeling Machine Learning Metrics 79

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries. The benefits of this approach (lower cognitive load, etc.)

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

The beliefs of this community are always evolving, and the process of thoughtfully generating, testing, refuting and accepting ideas looks a lot like Science. It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

Occam's Razor

JULY 18, 2011

The only requirement is that your mental model (and indeed, company culture) should be solidly rooted in permission marketing. You just have to have the right mental model (see Seth Godin above) and you have to… wait for it… wait for it… measure everything you do! Just to ensure you are executing against your right mental model.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137