Smart Data Collective

DECEMBER 9, 2021

It’s no secret that big data technology has transformed almost every aspect of our lives — and that’s especially true in business, which has become more tech-driven and sophisticated than ever. A number of new trends in big data are affecting the direction of the accounting sector. billion last year.

Technology 122

Technology Big Data Machine Learning Deep Learning 122

CIO Business Intelligence

JUNE 1, 2022

These supercomputers power exciting innovations in deep learning, disease control, and physics—think bionic eyes, DNA sequencing for infectious disease research, and the study of time crystals. . CSIRO’s Bracewell Delivers Deep Learning, Bionic Vision. Bracewell’s IO500 score was 99.64, IO500 BW 39.90

Deep Learning 105

Deep Learning Snapshot Optimization Data Quality 105

CIO Business Intelligence

JUNE 21, 2022

Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications. Big data analytics is being used to uncover crimes. Ready to evolve your analytics strategy or improve your data quality?

Deep Learning 111

Deep Learning Big Data ROI Software 111

Data Science 101

APRIL 29, 2019

Tukey, Design Thinking, and Better Questions – In short, spend some time trying to optimize the question Faster multiplication – 2 mathematicians discovered a technique to multiply numbers in O(n log n) time. This article covers some tips for just that.

Data Science 81

Data Science Deep Learning Software Machine Learning 81

Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

Smart Data Collective

JUNE 4, 2021

The center of each cluster is the optimal location for setting up health centers. Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning when the number of variables (columns) is high. Use cases of data science.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? Machine learning and deep learning are both subsets of AI.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI technology in commerce—such as deploying deep learning models trained on inadequate or inappropriate data—lead to bad experiences that alienate both consumers and businesses.

B2B 65

B2B Interactive Optimization Forecasting 65

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. Optimize raw material deliveries based on projected future demands. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Smart Data Collective

AUGUST 6, 2020

Thomas Griffin, the CEO of Optim Monster, points out that savvy marketers use artificial intelligence to enhance the quality of their video marketing strategies to expand their reach and multiply their conversion rates. You can use deep learning technology to replicate a voice that your audience will resonate with.

Deep Learning 81

Deep Learning Visualization Data-driven Marketing 81

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. For such processes, the data scientist can define and solve a mathematical model to optimize the defined goals.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

Rocket-Powered Data Science

DECEMBER 16, 2018

An example of a cold start problem is k -Means Clustering, where the number of clusters k in the data set is not known in advance, and the locations of those clusters in feature space ( i.e., the cluster means) are not known either. What is missing in the above discussion is the deeper set of unknowns in the learning process.

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

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. This challenge is known as the cold-start problem ! In those intermediate steps it serves as an evaluation (or validation) metric.

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171

Smart Data Collective

APRIL 3, 2020

Big data is driving a number of changes in the business community. Some of the benefits of big data incredibly obvious. However, there are also a lot of other benefits big data creates that don’t get as much publicity. Big Data is the Future of Giveaway Offerings. Chatbots for Giveaways.

Big Data 79

Big Data Data-driven Data mining Software 79

Domino Data Lab

MARCH 11, 2021

In this article, we’ll show key considerations for selecting the right machine learning framework for your project and briefly review four popular ML frameworks. Here are several key considerations you should take into account when selecting a machine learning framework for your project. Parameter Optimization.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers).

Deep Learning 224

Deep Learning Testing Machine Learning Modeling 224

IBM Big Data Hub

APRIL 22, 2024

The platform, created in partnership with Andel Energi in Denmark, uses IoT sensors, AI and the cloud to provide an energy ecosystem for consumers to participate in real-time, intelligent grid optimization. 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

According to IBM’s latest CEO study , industry leaders are increasingly focusing on AI technologies to drive revenue growth, with 42% of retail CEOs surveyed banking on AI technologies like generative AI, deep learning, and machine learning to deliver results over the next three years.

Unstructured Data 91

Unstructured Data Cost-Benefit Experimentation Machine Learning 91

Occam's Razor

MARCH 30, 2017

People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Most Deep Learning methods involve artificial neural networks, modeling how our bran works. Here’s the higher-order-bit….

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Jen Stirrup

MAY 5, 2020

It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. To get the best of technology such as Artificial Intelligence or Data Science, you really, really must have your data in the right format, and a good place.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Smart Data Collective

FEBRUARY 20, 2022

Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Management of data. The analysis of tons of data for your SaaS business can be extremely time-consuming, and it could even be impossible if done manually.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

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. We hope to soon run these compressed models on our AI-optimized chip, the IBM AIU. We stand on the frontier of an AI revolution.

Enterprise 129

Enterprise Technology Modeling Cost-Benefit 129

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

IBM Big Data Hub

AUGUST 28, 2023

Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification. A targeted approach will optimize the user experience and enhance an organization’s ROI.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

bridgei2i

JUNE 23, 2021

It helps optimize business productivity and profitability and improves customer acquisition capability due to more accurate customer pricing and reduced fraudulent claims. It enables insurers to better access data to improve operational efficiency and assess customer risk profiles better. Increase Business Efficiency.

Insurance 52

Insurance Risk Deep Learning Data-driven 52

Domino Data Lab

JULY 28, 2021

It is the job of a data scientist to navigate these subtle differences, pick the model that aligns best with the problem statement, optimize and monitor performance and translate the findings back into a business context. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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 119

Enterprise Modeling Testing Data-driven 119

IBM Big Data Hub

SEPTEMBER 6, 2023

Search engine optimization (SEO): Deploying an AI solution to enhance search engine optimization (SEO) helps marketers increase page rankings and develop more sound strategies. AI can help marketers create and optimize content to meet the new standards.

Marketing 79

Marketing Technology Advertising ROI 79

IBM Big Data Hub

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Deep Learning 57

Deep Learning Machine Learning Unstructured Data Modeling 57

IBM Big Data Hub

SEPTEMBER 19, 2023

Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy. It can also help identify coding errors and potential security vulnerabilities.

Software 81

Software IT Visualization Deep Learning 81

Cloudera

MARCH 13, 2019

The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data.

Data Architecture 71

Data Architecture Deep Learning Machine Learning Big Data 71

IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. MLOps and IBM Watsonx.ai

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience. billion by 2030.

Enterprise 96

Enterprise Interactive Data-driven Key Performance Indicator 96

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning in marketing and sales According to Forbes , marketing and sales teams prioritize AI and ML more than any other enterprise department. Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). Computer vision fuels self-driving cars.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

O'Reilly on Data

JUNE 18, 2019

Schema matching and mapping, record linkage and deduplication, and various mastering activities are the types of tasks a data integration solution performs. Advances in ML offer a scalable and efficient way to replace legacy top-down, rule-based systems, which often result in massive costs and very low success in today’s big data settings.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90