Cloudera

SEPTEMBER 18, 2024

Unique Data Integration and Experimentation Capabilities: Enable users to bridge the gap between choosing from and experimenting with several data sources and testing multiple AI foundational models, enabling quicker iterations and more effective testing.

Data-driven 91

Data-driven Optimization Experimentation Testing 91

datapine

FEBRUARY 4, 2020

As we have already talked about in our previous blog post on sales reports for daily, weekly or monthly reporting, you need to figure out a couple of things when launching and executing a marketing campaign: are your efforts paying off? 1) Blog Traffic And Blog Leads Report. click to enlarge**.

Reporting 280

Reporting Marketing Advertising Metrics 280

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 89

Data Warehouse Optimization Analytics Sales 89

Occam's Razor

SEPTEMBER 30, 2013

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. You should have an incredibly amazing blog for your company (more on this below). Finally, I''ve never accepted ads on this blog. And so on and so forth.

Marketing Analytics 156

Marketing Analytics Marketing Visualization Analytics 156

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. By predicting which patients are at risk of readmission before they are discharged, doctors can follow appropriate medical procedures to prevent readmission, optimize costs, and enhance the quality of treatment. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Ontotext

JANUARY 10, 2025

This blog post summarizes our findings, focusing on NER as a first-step key task for knowledge extraction. Through iterative experimentation, we incrementally added new modules refining the prompts. We also experimented with prompt optimization tools, however these experiments did not yield promising results.

Informatics 59

Informatics Modeling Metadata Experimentation 59

Decision Management Solutions

MARCH 26, 2020

We’ve been blogging recently on Decision Optimization. The Customer Journey to Decision Optimization. Those trying to improve and optimize their decisions report various challenges. Experimentation at the beginning of your journey is essential to make sure you understand where you are starting.

Experimentation 72

Experimentation Recreation/Entertainment Optimization Testing 72

DataRobot

MARCH 10, 2021

In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers. Set the goal to be achieved or optimized.

Machine Learning 145

Machine Learning Experimentation Key Performance Indicator Reporting 145

Cloudera

APRIL 13, 2021

Unfortunately, most organizations run into trouble when it comes to bridging the gap that exists between experimentation and full-scale ML production. Proper science takes experimentation and observation, as well as a willingness to accept the failures alongside the successes. Optimize later. Step 4: Iterate quickly.

Machine Learning 98

Machine Learning Enterprise Experimentation Modeling 98

Occam's Razor

MAY 15, 2006

There are many types of qualitative data at your disposal including brand buzz, customer satisfaction, net promoter indices, visitor engagement, stickiness, blog-pulse, etc. There is a lot of "buzz" around "buzzy" metrics such as brand value / brand impact, blog-pulse , to name a couple.

Metrics 100

Metrics Experimentation Testing Interactive 100

DataRobot Blog

MARCH 8, 2023

DataRobot improves collaboration among AI teams so that they can discover and prove the value of models in business use cases through experimentation and then get models into production faster to improve how they run, grow, and optimize their business.

Enterprise 105

Enterprise Experimentation Machine Learning Data Science 105

IBM Big Data Hub

JUNE 10, 2024

In this blog, we’ll explore how businesses can use both on-premises and cloud XaaS to control budgets in the age of AI, driving financial sustainability without compromising on technological advancement. Embracing a culture of experimentation helps businesses drive innovation while minimizing financial risk.

Experimentation 62

Experimentation Optimization Risk Management Machine Learning 62

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. This also achieves workload isolation, so we can run mission critical workloads independent from experimental and exploratory ones and nobody steps on anyone’s toes by accident.

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

DataRobot

JANUARY 20, 2022

— Collaborating via Snowflake Data Cloud and DataRobot AI Cloud Platform will enable multiple organizations to build a community movement where experimentation, innovation, and creativity flourish. Technology Alliance. Learn More About the Snowflake and DataRobot Partnership.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. When there are changing assignment weights and time-based confounders, this complication must be considered either in the analysis or the experimental design.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

DataKitchen

DECEMBER 1, 2022

And finally, it’s about assisting organizations in creating a culture of experimentation where failure is okay because you know you’ll have the proper data infrastructure, processes, and policies to quickly identify and mitigate any issues. With DataOps, data teams can ship data analytics systems faster and more confidently.

Experimentation 130

Experimentation Data-driven Risk Optimization 130

Smart Data Collective

JUNE 29, 2022

It could be a helpful blog post, an insightful whitepaper, or just a quick tip. You want to use these analytics interfaces to optimize your CTAs for the best CTR and conversion rates. Email marketing is all about experimentation. Only through testing will you be able to optimize your campaigns and get the best results possible.

B2B 124

B2B Data-driven Marketing Strategy 124

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Domino Data Lab

OCTOBER 14, 2020

Experimentation and collaboration are built into the core of the platform. This ability enhances the efficiency of operational management and optimizes the cost of experimentation. And because it’s parquet, we get all the benefits of parquet, including self-describing schema and IO optimizations. Why Petastorm?

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. In this blog, I would like to expand on NLQ and discuss how this AI technology can be leveraged in our domain. Using AI to its Fullest.

Analytics 89

Analytics Experimentation Metadata Big Data 89

Occam's Razor

JUNE 6, 2011

1: Figure out the optimal career path for you. Update: This blog post is overwhelmingly for those who want to become Analysts ("Business" in the matrix above). Pick two blogs. There is a very long list in the blogroll on the right navigation of this page (and every blog post on this blog). This might seem odd.

Analytics 126

Analytics Consulting Statistics Marketing 126

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 was not optimized to provide correct responses. It has helped to write a book.

IT 348

IT Modeling Testing Risk 348

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. One instance of how that exploration led to real business benefits was with the application of machine learning to predict optimal product formulation using a set of desired consumer benefits. Here, they and others share seven ways to create and nurture a culture of innovation.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

Domino Data Lab

FEBRUARY 12, 2020

this post on the Ray project blog ?. for model serving (experimental), are implemented with Ray internally for its scalable, distributed computing and state management benefits, while providing a domain-specific API for the purposes they serve. If you want a more in-depth technical introduction to Ray, see ?this multiprocessing , ?

Experimentation 137

Experimentation Modeling Data Science Machine Learning 137

AWS Big Data

JULY 8, 2024

In every Apache Flink release, there are exciting new experimental features. This flexibility optimizes job performance by reducing checkpoint frequency during backlog phases, enhancing overall throughput. launch blog post and release notes Apache Flink 1.19.1 Connectors With the release of version 1.19.1,

Management 105

Management Consulting Dashboards Snapshot 105

IBM Big Data Hub

MAY 17, 2024

Optimized: Cloud environments are now working efficiently and every new use case follows the same foundation set forth by the organdization. Cloud security maturity model The optimization of security is paramount for any organization that moves to the cloud. Service ownership is established and distributed to self-sufficient teams.

Modeling 96

Modeling Cost-Benefit Optimization Digital Transformation 96

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

This is essentially the same as finding a truly useful objective to optimize. accounting for effects "orthogonal" to the randomization used in experimentation. In this blog post, we summarize that paper and refer you to it for details. To see this, imagine you want to study long-term effects in an A/B test.

Modeling 63

Modeling Experimentation Knowledge Discovery Testing 63

Cloudera

OCTOBER 8, 2024

This service supports a range of optimized AI models, enabling seamless and scalable AI inference. By 2023, the focus shifted towards experimentation. Hardware and software optimizations enable up to 36 times faster inference with NVIDIA accelerated computing and nearly four times the throughput on CPUs, accelerating decision-making.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

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. A decision framework to automate and optimize workload execution. appeared first on Cloudera Blog.

Slice and Dice 115

Slice and Dice Cost-Benefit Data Governance Risk 115

Cloudera

OCTOBER 18, 2023

In fact, some of the insights presented in this blog have been assisted by the power of large language models (LLMs), highlighting the synergy between human expertise and AI-driven insights. Portfolio Optimization Analyze a portfolio of investments and identify opportunities to optimize returns while managing risk.

Cost-Benefit 79

Cost-Benefit Testing Machine Learning Optimization 79

Cloudera

DECEMBER 13, 2022

Workflows become so cumbersome that projects never make it past pilot and most importantly, data scientists’ ML models rarely emerge from experimentation to operation. . The post How Agencies Can Gain the Cyber Edge with Smart Data Solutions appeared first on Cloudera Blog. Operationalize ML with the Cloudera Data Platform.

Machine Learning 78

Machine Learning Experimentation Data Lake Data Processing 78

IBM Big Data Hub

DECEMBER 5, 2023

This data tracks closely with a recent IDC Europe study that found 40% of worldwide retailers and brands are in the experimentation phase of generative AI, while 21% are already investing in generative AI implementations. The impact of these investments will become evident in the coming years. trillion on retail businesses through 2029.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. The following examples are also available in the sample notebook in the aws-samples GitHub repo for quick experimentation.

Data Lake 92

Data Lake Snapshot Metadata Optimization 92

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Platforms and practices not optimized for AI. The post AI Governance: Break open the black box appeared first on Journey to AI Blog. This is due to: An inability to access the right data.

Metadata 97

Metadata Risk Management Risk Experimentation 97

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 can use that to hypothesize what an optimal budget allocation might look like. What tools / methodologies do you use to answer pan-session sorts of business questions?

Modeling 125

Modeling Metrics Data Quality Data-driven 125

Occam's Razor

FEBRUARY 26, 2008

1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. The Google Website Optimizer is free ! Experimentation and Testing: A Primer. Build A Great Web Experimentation & Testing Program. # Experimentation and Testing: A Primer. 6: If All Else Fails.

Management 68

Management Experimentation Testing Metrics 68