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. Data: the foundation of your foundation model Data quality matters. Data curation is a task that’s never truly finished.

Enterprise 135

Enterprise Technology Modeling Cost-Benefit 135

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. Just starting out with analytics?

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

CIO Business Intelligence

JUNE 13, 2022

Some conversational AI implementations rely heavily on ML tools that incorporate neural networks and deep learning techniques. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics?

Data Processing 105

Data Processing Deep Learning Insurance Cost-Benefit 105

CIO Business Intelligence

MARCH 9, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Data-driven 109

Data-driven Analytics Machine Learning Optimization 109

CIO Business Intelligence

APRIL 25, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Machine Learning 134

Machine Learning Enterprise Deep Learning Cost-Benefit 134

CIO Business Intelligence

JUNE 2, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Machine Learning 142

Machine Learning Deep Learning Data Quality Strategy 142

O'Reilly on Data

JULY 28, 2020

This tradeoff between impact and development difficulty is particularly relevant for products based on deep learning: breakthroughs often lead to unique, defensible, and highly lucrative products, but investing in products with a high chance of failure is an obvious risk. Data Quality and Standardization.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

NOVEMBER 29, 2023

For instance, if a business prioritizes accuracy in generating synthetic data, the resulting output may inadvertently include too many personally identifiable attributes, thereby increasing the company’s privacy risk exposure unknowingly.

Metrics 87

Metrics Machine Learning Risk Statistics 87

CIO Business Intelligence

JUNE 1, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

O'Reilly on Data

APRIL 19, 2021

The biggest problems in this year’s survey are lack of skilled people and difficulty in hiring (19%) and data quality (18%). The biggest skills gaps were ML modelers and data scientists (52%), understanding business use cases (49%), and data engineering (42%). Bad data yields bad results at scale. Techniques.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Smart Data Collective

AUGUST 26, 2021

Deep learning technology is changing the future of small businesses around the world. A growing number of small businesses are using deep learning technology to address some of their most pressing challenges. New advances in deep learning are integrated into various accounting algorithms.

Deep Learning 97

Deep Learning Finance Cost-Benefit Advertising 97

CIO Business Intelligence

APRIL 6, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Data mining 72

Data mining Deep Learning Insurance Digital Transformation 72

CIO Business Intelligence

MARCH 14, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Data Processing 116

Data Processing Optimization Deep Learning Software 116

CIO Business Intelligence

APRIL 11, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

CIO Business Intelligence

APRIL 11, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Deep Learning 59

Deep Learning Strategy Risk Data Quality 59

CIO Business Intelligence

JANUARY 20, 2023

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Technology 59

Technology Cost-Benefit Deep Learning Modeling 59

Cloudera

NOVEMBER 15, 2021

Here we briefly describe some of the challenges that data poses to AI. Data annotation. Abundance of data has been one of the main facilitators of the AI boom of the last decade. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. Data curation.

Unstructured Data 91

Unstructured Data Recreation/Entertainment Structured Data Reporting 91

CIO Business Intelligence

APRIL 4, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52

CIO Business Intelligence

JUNE 2, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Informatics 98

Informatics Modeling Testing Technology 98

CIO Business Intelligence

APRIL 26, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Manufacturing 98

Manufacturing Optimization Metrics Deep Learning 98

CIO Business Intelligence

MAY 16, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Recreation/Entertainment 103

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 103

Sisense

APRIL 15, 2021

From data preparation , with attendant data quality assessment, to connecting to datasets and performing the analysis itself, helpful AI elements, invisibly integrated into the platform, make analysis smoother and more intuitive.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

CIO Business Intelligence

JANUARY 4, 2023

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

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. Our Top Data Science Tools.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

O'Reilly on Data

DECEMBER 12, 2019

More structured approaches to sensitivity analysis include: Adversarial example searches : this entails systematically searching for rows of data that evoke strange or striking responses from an ML model. Figure 1 illustrates an example adversarial search for an example credit default ML model.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

O'Reilly on Data

MARCH 18, 2020

Supervised learning is the most popular ML technique among mature AI adopters, while deep learning is the most popular technique among organizations that are still evaluating AI. By contrast, AI adopters are about one-third more likely to cite problems with missing or inconsistent data.

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311

DataRobot Blog

MAY 26, 2022

However, with the widespread adoption of modern ML techniques, including gradient-boosted decision trees (GBDTs) and deep learning algorithms , many traditional validation techniques become difficult or impossible to apply.

Risk 52

Risk Modeling Metrics Business Objectives 52

O'Reilly on Data

MARCH 31, 2020

If you don’t understand your data intimately, you will have trouble knowing what’s feasible and what isn’t. You will have trouble understanding problems with data quality–you should know in your bones why 80% of a data scientist’s time is spent cleaning data. Managing Machine Learning Projects” (AWS).

Management 332

Management Machine Learning Experimentation Metrics 332

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Smarten

APRIL 19, 2024

The value of an AI-focused analytics solution can only be fully realized when a business has ensured data quality and integration of data sources, so it will be important for businesses to choose an analytics solution and service provider that can help them achieve these goals.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Cloudera

OCTOBER 1, 2022

Adam Wood, director of data governance and data quality at a financial services institution (FSI). It is pretty impressive just how much has changed in the enterprise machine learning and AI landscape. And the data science world has become incredibly flexible and needs to be moving fast.”.

Data Governance 76

Data Governance Strategy Enterprise Machine Learning 76

AWS Big Data

MARCH 1, 2023

The inability to accurately find and analyze data from disparate sources represents a potential efficiency killer for everyone from data scientists, medical researchers, academics, to financial and government analysts. Taylor McNally is a Deep Learning Architect at Amazon Machine Learning Solutions Lab.

Data Lake 81

Data Lake Deep Learning Modeling Interactive 81

IBM Big Data Hub

AUGUST 1, 2022

2000 Deep Learning: . Deep learning attempts to mimic the human brain and helps with enabling systems in clustering data and making predictions with incredible accuracy. It has raised the bar for image recognition and even learning patterns for unstructured data. .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

CIO Business Intelligence

MARCH 9, 2022

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. On the other hand, they don’t support transactions or enforce data quality. Each ETL step risks introducing failures or bugs that reduce data quality. .

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

O'Reilly on Data

JUNE 19, 2019

The third is data quality : since ML models are more sensitive to the semantics of incoming data, changes in data distribution that are often missed by traditional data quality tools wreak havoc on models’ accuracy. Becoming a machine learning company means investing in foundational technologies”.

Modeling 194

Modeling Machine Learning Testing Metrics 194

CIO Business Intelligence

APRIL 1, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Data-driven 98

Data-driven Deep Learning Risk Optimization 98

Ontotext

MAY 22, 2023

Luckily, the text analysis that Ontotext does is focused on tasks that require complex domain knowledge and linking of documents to reference data or master data. We use other deep learning techniques for such tasks. Long story short, MDM is mostly about data quality and precision (e.g.,

Management 59

Management Unstructured Data Metadata Cost-Benefit 59