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

CIO Business Intelligence

OCTOBER 5, 2023

Sandeep Davé knows the value of experimentation as well as anyone. CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. Let’s start with the models.

Experimentation 120

Experimentation Strategy Machine Learning Interactive 120

Cloudera

MARCH 2, 2022

You can read previous blog posts on Impala’s performance and querying techniques here – “ New Multithreading Model for Apache Impala ”, “ Keeping Small Queries Fast – Short query optimizations in Apache Impala ” and “ Faster Performance for Selective Queries ”. . Analytical SQL workloads use aggregates and joins heavily.

Data Warehouse 88

Data Warehouse Optimization Analytics Sales 88

CIO Business Intelligence

JULY 3, 2023

But the rise of large language models (LLMs) is starting to make true knowledge management (KM) a reality. These models can extract meaning from digital data at scale and speed beyond the capabilities of human analysts. Data exists in ever larger silos, but real knowledge still resides in employees.

Management 103

Management Experimentation Modeling Enterprise 103

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 139

Cost-Benefit Metrics Insurance Measurement 139

Domino Data Lab

SEPTEMBER 10, 2020

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant. This means many projects get stuck in endless research and experimentation.

Modeling 101

Modeling IT Data Science Experimentation 101

DataKitchen

APRIL 13, 2021

As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice. Please let us know if we have forgotten anyone or if you have any comments (marketing@datakitchen.io). Observe, optimize, and scale enterprise data pipelines. . Meta-Orchestration . Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Reflections. The three segments that have crystallized are: Automation tools. Automation Tools.

Data Science 65

Data Science Marketing Data-driven Statistics 65

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 95

IT Digital Transformation IoT Cost-Benefit 95

Cloudera

OCTOBER 4, 2023

In telecommunications, fast-moving data is essential when we’re looking to optimize the network, improving quality, user satisfaction, and overall efficiency. We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior.

Data Warehouse 87

Data Warehouse Experimentation Cost-Benefit Dashboards 87

CIO Business Intelligence

FEBRUARY 7, 2024

Stephen Franchetti, CIO of Samsara, a fleet management SaaS provider that went public in 2021, believes the only way to optimize your AI strategy (or any emerging technology strategy, in fact) is with a bottoms-up approach. We’ve seen an ongoing iteration of experimentation with a number of promising pilots in production,” he says.

KPI 88

KPI Measurement Experimentation Finance 88

Cloudera

OCTOBER 18, 2023

In this dynamic environment, harnessing the power of AI and ML is proving to be a game-changer for firms seeking to thrive in an increasingly competitive market. Portfolio Optimization Analyze a portfolio of investments and identify opportunities to optimize returns while managing risk.

Cost-Benefit 78

Cost-Benefit Testing Machine Learning Optimization 78

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

CIO Business Intelligence

MARCH 7, 2023

Agile for hybrid teams optimizing low-code experiences The agile manifesto is now 22 years old and was written when IT departments struggled with waterfall project plans that often failed to complete, let alone deliver business outcomes. CIOs should consider technologies that promote their hybrid working models to replace in-person meetings.

Digital Transformation 144

Digital Transformation Data Governance Experimentation Machine Learning 144

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. Mitigate risks by communicating an LLM governance model The generative AI landscape has more than 100 tools covering test, image, video, code, speech, and other categories.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

CIO Business Intelligence

MARCH 12, 2024

Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. Junior developers are reporting the biggest productivity boosts, but this remains an area of active research and experimentation,” Tandon says.

Software 128

Software Experimentation Testing Cost-Benefit 128

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications. The impact of these investments will become evident in the coming years.

Unstructured Data 91

Unstructured Data Cost-Benefit Experimentation Machine Learning 91

O'Reilly on Data

MARCH 31, 2020

You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models.

Management 327

Management Machine Learning Experimentation Metrics 327

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 91

Cost-Benefit Modeling Manufacturing Interactive 91

Occam's Razor

SEPTEMBER 30, 2013

Frameworks, because if I can teach someone a new mental model, a different way of thinking, they can be incredibly successful. Each of the six visuals re-frames a unique facet of the digital opportunity/challenge, and shares how to optimally take advantage of the opportunity/challenge. 2: The Secret to Content Marketing Success.

Marketing Analytics 154

Marketing Analytics Marketing Visualization Analytics 154

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 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. Optimal Starting SCOTUS Starting Points.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

CIO Business Intelligence

JULY 7, 2023

Tip 1: Embrace the need for balance Hybrid work models have shifted the goalposts for just about all organizational objectives, especially in terms of providing employee experiences that are both productive and secure. They are expected to make smarter and faster decisions using data, analytics, and machine learning models.

Measurement 109

Measurement Risk Experimentation Enterprise 109

O'Reilly on Data

SEPTEMBER 15, 2020

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. Outputs from trained AI models include numbers (continuous or discrete), categories or classes (e.g., spam or not-spam), probabilities, groups/segments, or a sequence (e.g.,

Cost-Benefit 290

Cost-Benefit Advertising ROI Machine Learning 290

Occam's Razor

APRIL 29, 2013

It turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. In the last couple months I've spent a lot of time with senior level marketers on three different continents. Marketer, is not spent with data you''ll fail to achieve professional success.]. Small data.

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

MAY 27, 2015

It saddens me deeply that they are not being able to take full advantage of all the new product, marketing, customer relationship opportunities in front of them. Here are the digital myths that are leading us down a profoundly sub-optimal path: 1. This post covers five of these heartbreaking misses in the broader framing.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

JULY 18, 2011

To not have it as an active part of your marketing portfolio is sub-optimal. The only requirement is that your mental model (and indeed, company culture) should be solidly rooted in permission marketing. Embrace permission marketing and email will be a surprising and loyal BFF. Optimal Acquisition Email Metrics.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

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 85

Digital Transformation Cost-Benefit Informatics Data mining 85

CIO Business Intelligence

OCTOBER 1, 2022

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants. Data and AI as digital fundamentals.

Manufacturing 144

Manufacturing Digital Transformation IoT Internet of Things 144

IBM Big Data Hub

FEBRUARY 1, 2024

In recent years, CBDCs have been positioned as a viable remedy to current inefficiencies in financial markets, as they can promote innovation, more effectively aid inclusion in payment systems and reduce settlement delays, costs, and counterparty risks. They also meet and exceed the CBDC performance and scalability requirements.

Experimentation 93

Experimentation Modeling Finance Reporting 93

CIO Business Intelligence

JUNE 6, 2023

And the market for doing so remains robust for corporations looking to make the most of the model. 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 104

Key Performance Indicator Cost-Benefit Enterprise Experimentation 104

CIO Business Intelligence

MARCH 7, 2023

OpenAI’s text-generating ChatGPT, along with its image generation cousin DALL-E, are the most prominent among a series of large language models, also known as generative language models or generative AI, that have captured the public’s imagination over the last year. And, he says, using generative AI for coding has worked well.

Enterprise 111

Enterprise IT Experimentation Unstructured Data 111

Cloudera

SEPTEMBER 17, 2020

A large oil and gas company was suffering over not being able to offer users an easy and fast way to access the data needed to fuel their experimentation. To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

Cloudera

APRIL 26, 2023

With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. These include data recovery service, quota management, node harvesting, optimizing TCO, and more. Reduced cost by optimizing compute utilization to run more analytics with the same hardware allocation.

Cost-Benefit 64

Cost-Benefit Optimization Experimentation Machine Learning 64

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It’s important to understand that ChatGPT is not actually a language model. with specialized training.

IT 258

IT Modeling Testing Risk 258

DataRobot

MARCH 10, 2021

Is autonomy a realistic promise or is it simply marketing hype? Set the goal to be achieved or optimized. Deploy the machine learning model into production. The experimenters simulated experiences in online travel and online dating, varying the time people waited for a search result. Is AI Autonomous?

Experimentation 145

Experimentation Machine Learning Key Performance Indicator Reporting 145

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.

Cost-Benefit 113

Cost-Benefit Advertising Experimentation Software 113