Cloudera

OCTOBER 24, 2023

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. AI-powered automation is already driving significant margin growth by reducing costs.

Interactive 83

Interactive Data-driven Cost-Benefit Optimization 83

CIO Business Intelligence

FEBRUARY 10, 2023

Benefits of predictive analytics Predictive analytics makes looking into the future more accurate and reliable than previous tools. By optimizing marketing campaigns with predictive analytics , organizations can also generate new customer responses or purchases, as well as promote cross-sell opportunities.

Predictive Analytics 141

Predictive Analytics Analytics Predictive Modeling Forecasting 141

Smart Data Collective

JULY 8, 2021

While artificially intelligent systems found their way into almost every household, the AEC industry is yet to reap the full extent of AI’s benefits. We talked about the benefits of BIM in site design , but it has many other benefits too. Since BIM is a valuable and generous source of data, AI can greatly benefit from it.

Cost-Benefit 125

Cost-Benefit Deep Learning Visualization Modeling 125

IBM Big Data Hub

APRIL 22, 2024

We use to collect data from 6,500+ utility bills we receive globally each year and summarize total energy consumption, cost, and renewable electricity purchases across to save many hours of calculations. This will help advance progress by optimizing resources used.

IoT 78

IoT Internet of Things Cost-Benefit Reporting 78

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.

Unstructured Data 91

Unstructured Data Cost-Benefit Experimentation Machine Learning 91

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 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Rocket-Powered Data Science

DECEMBER 15, 2018

If we cannot know that ( i.e., because it truly is unsupervised learning), then we would like to know at least that our final model is optimal (in some way) in explaining the data. The objective function (also known as cost function, or benefit function) provides an objective measure of model performance.

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171

Smart Data Collective

FEBRUARY 20, 2022

Its cost-effective service solutions ensure that you can optimize costs, organize data, and provide access controls to meet your business, organizational, and regulatory needs. While maintaining cost control, SaaS companies may have to innovate quickly. Benefits of using AWS for your SaaS company. Cost-effective.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

CIO Business Intelligence

JUNE 13, 2022

Juniper Research forecasts that in 2023 the global operational cost savings from chatbots in banking will reach $7.3 And that not only benefits customers, but it can also increase morale among the employees. These benefits make the technology extremely attractive to financial services firms. Just starting out with analytics?

Data Processing 90

Data Processing Deep Learning Insurance Cost-Benefit 90

Smart Data Collective

MARCH 27, 2023

Some of the benefits of AI in banking include: Banks use AI bots to onboard clients and analyze borrower risk. They have also started integrated computer vision and deep learning technology to identify inefficiencies. Software is now typically a monthly recurring cost. It sounds expensive.

Software 87

Software Finance Cost-Benefit Data-driven 87

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. ” These large models have lowered the cost and labor involved in automation. We hope to soon run these compressed models on our AI-optimized chip, the IBM AIU.

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

CIO Business Intelligence

JANUARY 20, 2023

Companies benefit by keeping or acquiring geographically-dispersed top talent often attracted to a flexible work environment. Notably, businesses are adopting virtual desktop infrastructure (VDI) as a way to keep data secure, teams collaborative, and staff productive while reducing costs.

Technology 57

Technology Cost-Benefit Deep Learning Modeling 57

CIO Business Intelligence

APRIL 11, 2022

There are many benefits that come along with making a city “smart.” It gives the city more information and data to help drive decision making leading to tremendous benefits that positively influence the lives of everyone who lives, works, and visits, such as: . when a container is full. Just starting out with analytics?

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue. AI enhances operational efficiency.

Predictive Analytics 143

Predictive Analytics Technology Analytics Machine Learning 143

IBM Big Data Hub

AUGUST 11, 2023

MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient. Each data attribute, or feature, is managed within a feature store and can be added, deleted, combined or adjusted to improve the machine learning model.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

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 128

Machine Learning Enterprise Deep Learning Cost-Benefit 128

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 90

Cost-Benefit Modeling Manufacturing Interactive 90

Smart Data Collective

DECEMBER 9, 2021

Accounting leaders in firms across the country are recognizing the benefits of letting employees work from home, not just for safety’s sake, but for morale as well. AI has the potential to optimize tasks and processes that might otherwise take needless man-hours to handle. The cloud has been very important in these changes.

Technology 122

Technology Big Data Machine Learning Deep Learning 122

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 81

Metrics Machine Learning Statistics Risk 81

CIO Business Intelligence

JUNE 1, 2022

Existing digital twin models can look at what’s happening in real-time and predictive analytics can help understand future potential benefits or pitfalls with designs and strategies. . Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Manufacturing 104

Manufacturing Digital Transformation Predictive Analytics Strategy 104

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

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.” Product development : Generative AI is increasingly utilized by product designers for optimizing design concepts on a large scale.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

CIO Business Intelligence

JANUARY 4, 2023

Workflow Optimization from Edge to Core/Cloud and Back : Integration with edge devices as well as integration with different HPC systems is currently designed in-house or otherwise customized. As a community, we keep sharing information and we stay on top of developments to realize the maximum benefits of HPC.

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

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. billion by 2030.

Enterprise 96

Enterprise Interactive Data-driven Key Performance Indicator 96

CIO Business Intelligence

MAY 16, 2022

Queue management also benefits from computer vision, where potential queue or wait times at concession stands are alleviated through fan notifications and dynamic staffing. Smart building controls with computer vision can make these environments more sustainable while helping to reduce energy usage and costs.

Recreation/Entertainment 84

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 84

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. CTRs are easy to measure, but if you build a system designed to optimize these kinds of metrics, you might find that the system sacrifices actual usefulness and user satisfaction.

Marketing 362

Marketing Experimentation Metrics Testing 362

Cloudera

APRIL 10, 2021

To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. . A typical machine learning workflow involves data preparation, model training, model scoring, and model fitting. CPUs and GPUs can be used in tandem for data engineering and data science workloads.

Machine Learning 65

Machine Learning Modeling Cost-Benefit Data Science 65

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

IBM Big Data Hub

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Enterprise organizations (many of whom have already embarked on their AI journeys) are eager to harness the power of generative AI for customer service.

Consulting 53

Consulting Machine Learning Deep Learning Cost-Benefit 53

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Here, we list the most prominent ones used in the industry.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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. These changes often personify themselves as square roots, lambdas or inverted matrices. 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. 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. Beyond Fraud to Improving Recommendations. Just starting out with analytics?

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52

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

Rocket-Powered Data Science

MAY 21, 2024

Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win! In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g., document, image, video, audio clip) is reduced (transformed) to a condensed vector representation using deep neural networks.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

IBM Big Data Hub

FEBRUARY 19, 2024

Financial benefits include increased revenue through the creation of adjacent industry business models, accessing new markets to establish more revenue streams, and growing existing revenue. Cost optimization can be achieved through a combination of productivity enhancements, infrastructure savings and reductions in operating expenses.

Cost-Benefit 64

Cost-Benefit Data-driven Optimization Marketing 64

CIO Business Intelligence

DECEMBER 1, 2023

IT leaders looking for a blueprint for staving off the disruptive threat of generative AI might benefit from a tip from LexisNexis EVP and CTO Jeff Reihl: Be a fast mover in adopting the technology to get ahead of potential disruptors. We will pick the optimal LLM. We use AWS and Azure.

Cost-Benefit 120

Cost-Benefit Digital Transformation Machine Learning Optimization 120

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