IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

CIO Business Intelligence

JUNE 1, 2022

The digital twins at McLaren are also used to run simulations for the design of new parts and then to test them for performance and reliability before they are manufactured and installed in the racing cars. How fast are product changes in Formula 1 racing design? McClaren releases product changes every 20 minutes. .

Manufacturing 102

Manufacturing Digital Transformation Predictive Analytics Strategy 102

IBM Big Data Hub

NOVEMBER 29, 2023

Creating synthetic test data to expedite testing, optimization and validation of new applications and features. Although adding noise slightly reduces output accuracy (this is the “cost” of differential privacy), it does not compromise utility or data quality compared to traditional data masking techniques.

Metrics 80

Metrics Machine Learning Statistics Risk 80

CIO Business Intelligence

JANUARY 23, 2023

Microsoft stands to benefit from its investment in three ways. As OpenAI’s exclusive cloud provider it will see additional revenue for its Azure services, as one of OpenAI’s biggest costs is providing the computing capacity to train and run its AI models. That app, Microsoft Designer , is currently in closed beta test.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” It assists in structural optimization which ensures that products are strong, durable and use minimal material, leading to considerable cost reductions.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

CIO Business Intelligence

APRIL 25, 2022

In addition, “Of the 31% with AI in production, only one third claim to have reached a mature state of adoption wherein the entire organization benefits from an enterprise-wide AI strategy.”. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Machine Learning 126

Machine Learning Enterprise Deep Learning Cost-Benefit 126

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. 46% of survey respondents in 2024 showed a preference for open source models.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

IBM Big Data Hub

FEBRUARY 14, 2024

Technical AI use cases Speed operations with AIOps There are many benefits to using artificial intelligence for IT operations (AIOps). More benefits from AI include building a more sustainable IT system and improving the continuous integration/continuous (CI/CD) delivery pipelines.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

CIO Business Intelligence

APRIL 24, 2023

How we got here The most notable enabling technologies in generative AI are deep learning, embeddings, transfer learning (all of which emerged in the early to mid-2000s), and neural net transformers (invented in 2017). Deep learning emerged in academia in the early 2000s, with broader industry adoption starting around 2010.

Enterprise 52

Enterprise Deep Learning Modeling Machine Learning 52

Domino Data Lab

JULY 28, 2021

Depending on the problem, it may be more important to reduce bias at the cost of precision or reduce noise at the expense of accuracy. After thorough review, revision, possible unit-testing, code reviews and the greenlight from any relevant stakeholders. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

CIO Business Intelligence

APRIL 4, 2022

Graph database technology can provide benefits beyond fraud detection. Find out more and take a test drive in one of Dell Technologies’ worldwide Customer Solution Centers. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52

DataRobot Blog

MAY 26, 2022

These methods provided the benefit of being supported by rich literature on the relevant statistical tests to confirm the model’s validity—if a validator wanted to confirm that the input predictors of a regression model were indeed relevant to the response, they need only to construct a hypothesis test to validate the input.

Risk 52

Risk Modeling Metrics Business Objectives 52

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events. Thoroughly testing the AI system before full deployment is critical.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

Domino Data Lab

JULY 28, 2021

Today, the most advanced techniques used in data science are grouped under the term Artificial Intelligence (AI) Due to their information-acquiring nature, machine learning, deep learning, natural language processing (NLP) and computer vision are all considered branches within the field of AI. None of these techniques are new.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

AWS Big Data

OCTOBER 26, 2023

times lower cost per user and up to 7.9 times lower cost per user and up to 7.9 Read on to understand why price-performance matters and how Amazon Redshift price-performance is a measure of how much it costs to get a particular level of workload performance, namely performance ROI (return on investment).

Data Warehouse 95

Data Warehouse Cost-Benefit Dashboards Optimization 95

Domino Data Lab

MARCH 29, 2021

The addition of the MLlib library, consisting of common learning algorithms and utilities, opened up Spark for a wide range of machine learning tasks and paved the way for running complex machine learning workflows on top of Apache Spark clusters. Quite often Spark is only needed for a fraction of the ML pipeline (e.g.

Cost-Benefit 98

Cost-Benefit Machine Learning Testing Interactive 98

IBM Big Data Hub

JANUARY 10, 2024

Today’s AI technology has a range of use cases across various industries; businesses use AI to minimize human error, reduce high costs of operations, provide real-time data insights and improve the customer experience, among many other applications. For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Unstructured Data 75

Unstructured Data Deep Learning Cost-Benefit Machine Learning 75

IBM Big Data Hub

AUGUST 1, 2023

Organizations that utilize them correctly can see a myriad of benefits—from increased operational efficiency and improved decision-making to the rapid creation of marketing content. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible?

Modeling 56

Modeling Cost-Benefit Data Lake Machine Learning 56

Cloudera

NOVEMBER 3, 2021

Thanks to pioneers like Andrew NG and Fei-Fei Li, GPUs have made headlines for performing particularly well with deep learning techniques. Today, deep learning and GPUs are practically synonymous. While deep learning is an excellent use of the processing power of a graphics card, it is not the only use.

Deep Learning 117

Deep Learning Machine Learning Data Science Cost-Benefit 117

Sisense

AUGUST 6, 2020

So what are the high-level steps to incorporate AI and machine learning into new and existing products? Improving customer experience and reducing cost in a single step sounds impossible, but this is exactly what correctly implemented AI can achieve. Be sure test cases represent the diversity of app users. The perfect fit.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

CIO Business Intelligence

MARCH 22, 2023

The new class often uses advanced techniques such as deep learning, natural language processing, and computer vision to analyze and extract insights from the data. Differential privacy Differential privacy provides margins on how much a single data record from a training dataset contributes to a machine-learning model.

Machine Learning 101

Machine Learning Cost-Benefit Modeling Risk 101

DataRobot Blog

SEPTEMBER 13, 2022

These might include—but are not limited to—deep learning, image recognition and natural language processing. Automation also makes AI-driven forecast models possible at scale, which further minimizes your costs by accurately forecasting demand. So, AI-powered applications can provide benefits throughout the business ecosystem.

Forecasting 52

Forecasting Data-driven Machine Learning Optimization 52

Insight

FEBRUARY 13, 2019

He is currently a machine learning engineer at Casetext where he works on natural language processing for the legal industry. In late 2018, Google open-sourced BERT, a powerful deep learning algorithm for natural language processing. Prior to Insight, he was at IBM Watson. Yay this is fun! Run training. export BERT_BASE_DIR=.

Testing 72

Testing Machine Learning Deep Learning Modeling 72

Domino Data Lab

JULY 2, 2019

Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. Here’s a sampler of related papers and articles if you’d like to dig in further: “ Synthesizing Programs with Deep Learning ” – Nishant Sinha (2017-03-25). “ Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

JUNE 23, 2019

Be aware that machine learning often involves working on something that isn’t guaranteed to work. As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. Testing is critical. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

IBM Big Data Hub

JANUARY 17, 2024

Lyro, for instance, is revolutionizing customer service with its deep learning capabilities, handling up to 80% of common inquiries and improving response times significantly. But the benefits extend far beyond automation. Testing and refinement : Rigorously test the chatbot before deployment.

Interactive 60

Interactive Sales Machine Learning Marketing 60

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. Top ML Companies.

Machine Learning 97

Machine Learning Testing Cost-Benefit Data-driven 97

DataRobot Blog

MARCH 7, 2023

DataRobot identifies and recommends models that are ready to move into production by automatically testing and comparing thousands of models, while those already in production are continuously monitored to ensure performance and compliance. This generates reliable business insights and sustains AI-driven value across the enterprise.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

Domino Data Lab

OCTOBER 14, 2020

We needed an “evolvable architecture” which would work with the next deep learning framework or compute platform. This ability enhances the efficiency of operational management and optimizes the cost of experimentation. For a complete understanding of the benefits of Petastorm, check out this blog.

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

Smart Data Collective

MAY 19, 2021

There are a few major ways that big data is going to influence the future of the clean energy industry.

Data Analytics 89

Data Analytics Analytics Big Data Predictive Analytics 89