Smart Data Collective

OCTOBER 13, 2021

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. What can you learn from real-market examples? That’s where machine learning algorithms come into place. That’s where machine learning algorithms come into place. How exactly?

Machine Learning 137

Machine Learning Optimization Software Modeling 137

DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. Whether it’s customer analytics, product quality assessments, or inventory insights, the Gold layer is tailored to support specific analytical use cases.

Data Quality 195

Data Quality Testing Metrics Reporting 195

Cloudera

DECEMBER 9, 2024

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . Benchmark tests indicate that Gemini Pro demonstrates superior speed in token processing compared to its competitors like GPT-4.

Machine Learning 75

Machine Learning Modeling Testing Optimization 75

DataKitchen

APRIL 13, 2021

Testing and Data Observability. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 300

Testing Machine Learning Consulting Data Science 300

Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. Parameter Optimization.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Analytics Vidhya

JULY 10, 2024

It covers testing, debugging, and optimizing AI agents in addition to tools, libraries, environment setup, and implementation. Introduction This article introduces the ReAct pattern for improved capabilities and demonstrates how to create AI agents from scratch.

Testing 364

Testing Optimization Analytics IT 364

Smart Data Collective

OCTOBER 8, 2021

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Modern machine learning and back-testing; how quant hedge funds use it.

Machine Learning 132

Machine Learning Testing Strategy Modeling 132

Smart Data Collective

NOVEMBER 9, 2022

There are a number of great applications of machine learning. One of the biggest benefits is testing processes for optimal effectiveness. The main purpose of machine learning is to partially or completely replace manual testing. Machine learning is used in many industries.

Machine Learning 122

Machine Learning Testing Cost-Benefit Data-driven 122

Smart Data Collective

NOVEMBER 1, 2021

Machine learning technology has become an integral part of many different design processes. Many entrepreneurs use machine learning to improve logo designs. One of the areas where machine learning has proven particularly useful has been with 3D printing. Optimize the Design.

Machine Learning 141

Machine Learning Cost-Benefit Manufacturing Optimization 141

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

Modeling 257

Modeling Machine Learning Testing Metrics 257

O'Reilly on Data

MARCH 25, 2025

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. People have been building data products and machine learning products for the past couple of decades.

Testing 168

Testing Data-driven Software Measurement 168

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. An Overarching Concern: Correctness and Testing.

IT 364

IT Testing Experimentation Software 364

CIO Business Intelligence

NOVEMBER 5, 2024

Leveraging machine learning and AI, the system can accurately predict, in many cases, customer issues and effectively routes cases to the right support agent, eliminating costly, time-consuming manual routing and reducing resolution time to one day, on average. Companies and teams need to continue testing and learning.

B2B 132

B2B Machine Learning Technology Marketing 132

Smart Data Collective

APRIL 13, 2022

Machine learning technology is becoming a more important aspect of modern marketing. Machine learning technology is a very important element of digital marketing. One of the most valuable applications of machine learning technology is with web design. A number of web development tools use machine learning.

Machine Learning 137

Machine Learning Advertising Cost-Benefit Marketing 137

Smart Data Collective

JANUARY 27, 2021

Machine learning technology has made cryptocurrency investing opportunities more lucrative than ever. The impact of machine learning on the market for bitcoin and other cryptocurrencies is multifaceted. Importance of machine learning in forecasting cryptocurrency prices.

Machine Learning 140

Machine Learning Forecasting Predictive Analytics Marketing 140

Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. But first, What is DirectX Anyway?

Visualization 145

Visualization Optimization Analytics Testing 145

O'Reilly on Data

SEPTEMBER 19, 2023

They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. It felt like, almost overnight, all of machine learning took on some kind of neural backend. Those algorithms packaged with scikit-learn?

Machine Learning 336

Machine Learning Testing Modeling Cost-Benefit 336

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 364

Management Experimentation B2B Machine Learning 364

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 363

Management Machine Learning Experimentation Metrics 363

Cloudera

NOVEMBER 17, 2021

We are very excited to announce the release of five, yes FIVE new AMPs, now available in Cloudera Machine Learning (CML). In addition to the UI interface, Cloudera Machine Learning exposes a REST API that can be used to programmatically perform operations related to Projects, Jobs, Models, and Applications.

Machine Learning 124

Machine Learning Visualization Data Science Dashboards 124

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Having chosen Amazon S3 as our storage layer, a key decision is whether to access Parquet files directly or use an open table format like Iceberg.

Metadata 106

Metadata Snapshot Cost-Benefit Optimization 106

Smart Data Collective

OCTOBER 13, 2022

Generative design is a new approach to product development that uses artificial intelligence to generate and test many possible designs. Assembly Line Optimization. Assembly line optimization is a process that allows companies to identify and optimize their production processes, from the design phase to the assembly line.

Testing 128

Testing Cost-Benefit Experimentation Optimization 128

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Cloudera

NOVEMBER 13, 2024

Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. Build and test training and inference prompts. Users can immediately export a fine-tuned model as a Cloudera Machine Learning Model endpoint , which can then be used in production-ready workflows.

Cost-Benefit 87

Cost-Benefit Data Processing Machine Learning Testing 87

O'Reilly on Data

SEPTEMBER 15, 2020

Likewise, AI doesn’t inherently optimize supply chains, detect diseases, drive cars, augment human intelligence, or tailor promotions to different market segments. Therefore, AI techniques don’t just solve real-world problems out of the box. They don’t automatically generate revenue and growth, maximize ROI, or keep users engaged and loyal.

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

Smart Data Collective

JUNE 24, 2023

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Therefore, you will want to make sure that your cryptocurrency wallet or service is protected by machine learning technology. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum.

Machine Learning 98

Machine Learning Broadcasting Risk Data mining 98

O'Reilly on Data

AUGUST 4, 2022

We can find many more examples across many more decades that reflect naiveté and optimism and–if we are honest–no small amount of ignorance and hubris. Learning how to ace Space Invaders does not interfere with or displace the ability to carry out a chat conversation.

Machine Learning 337

Machine Learning Modeling Statistics Software 337

Smart Data Collective

NOVEMBER 24, 2020

Marketing teams can use data analytics to optimize their scheduling to squeeze a higher ROI from their strategies. Some machine learning tools even enable these schedules to be automated. This wouldn’t be possible without sophisticated machine learning algorithms. Image source: deputy.com.

Marketing 132

Marketing Optimization Strategy Big Data 132

CIO Business Intelligence

FEBRUARY 6, 2025

In retail, they can personalize recommendations and optimize marketing campaigns. Even basic predictive modeling can be done with lightweight machine learning in Python or R. Sustainable IT is about optimizing resource use, minimizing waste and choosing the right-sized solution. You get the picture.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

O'Reilly on Data

MARCH 7, 2019

If you don’t believe me, feel free to test it yourself with the six popular NLP cloud services and libraries listed below. In a test done during December 2018, of the six engines, the only medical term (which only two of them recognized) was Tylenol as a product. IBM Watson NLU. Azure Text Analytics. spaCy Named Entity Visualizer.

Deep Learning 279

Deep Learning Testing Machine Learning Modeling 279

CIO Business Intelligence

JANUARY 6, 2025

Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space. Its more about optimizing and maximizing the value were getting out of gen AI, she says.

IT 140

IT Cost-Benefit Measurement Experimentation 140

CIO Business Intelligence

OCTOBER 25, 2022

To remain resilient to change and deliver innovative experiences and offerings fast, organizations have introduced DevOps testing into their infrastructures. However, introducing DevOps to mainframe infrastructure can be nearly impossible for companies that do not adequately standardize and automate testing processes before implementation.

Testing 106

Testing Software Optimization Marketing 106

Smart Data Collective

JUNE 3, 2022

To solve these issues, product designers facilitate solutions, create multiple test plans, produce wireframes, and make rounds of A/B testing. In other words, they are responsible for ensuring that the product created is optimized exclusively for the user. Product Designer Vs UX Designer: Similarities! How UX Designers Use AI.

Optimization 119

Optimization Cost-Benefit Data-driven Testing 119

IBM Big Data Hub

MAY 20, 2024

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes.

Machine Learning 87

Machine Learning Modeling Metadata Strategy 87

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. 5) Collaborative Business Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

DECEMBER 5, 2024

This type of structure is foundational at REA for building microservices and timely data processing for real-time and batch use cases like time-sensitive outbound messaging, personalization, and machine learning (ML). We obtained a more comprehensive understanding of the cluster’s performance by conducting these various test scenarios.

Metrics 78

Metrics Dashboards Testing Optimization 78

Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. One report found that global e-commerce brands spent over $16.7 billion on analytics last year.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97