DataRobot Blog

MAY 5, 2022

To date, however, enterprises’ vast troves of unstructured data – photo, video, text, and more – have remained mostly untapped. At DataRobot, we are acutely aware of the ability of diverse data to create vast improvements to our customers’ business. Today, managing unstructured data is an arduous task. Jared Bowns.

Unstructured Data 52

Unstructured Data Modeling Enterprise Machine Learning 52

CIO Business Intelligence

JANUARY 24, 2024

Great for: Extracting meaning from unstructured data like network traffic, video & speech. Classical machine learning: Patterns, predictions, and decisions Classical machine learning is the proven backbone of pattern recognition, business intelligence, and rules-based decision-making; it produces explainable results.

Deep Learning 92

Deep Learning Unstructured Data Machine Learning Modeling 92

CIO Business Intelligence

DECEMBER 14, 2023

The timing for these advancements is optimal as the industry grapples with skilled labor shortages, supply chain challenges, and a highly competitive global marketplace. Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal.

Manufacturing 137

Manufacturing Cost-Benefit Unstructured Data Optimization 137

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 104

Unstructured Data Cost-Benefit Metadata Machine Learning 104

DataKitchen

APRIL 13, 2021

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 Quality 300

IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Unstructured data interpretation: Unstructured data can often contain untapped insights.

Unstructured Data 87

Unstructured Data Data-driven ROI Machine Learning 87

CIO Business Intelligence

MAY 8, 2024

Process automation and improvement is a perennial CIO agenda item, and the call for business process optimization is only getting louder — especially for those processes directly tied to the bottom line. Insurance companies can use AI to summarize long medical charts, to classify documents, and to find patterns in unstructured data, he says.

IT 100

IT Cost-Benefit Insurance Unstructured Data 100

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 135

Unstructured Data Data Analytics Analytics Structured Data 135

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Unstructured Data 92

Unstructured Data Cost-Benefit Experimentation Machine Learning 92

O'Reilly on Data

SEPTEMBER 19, 2023

But the grouping and summarizing just wasn’t exciting enough for the data addicts. 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. Those algorithms packaged with scikit-learn?

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

Cloudera

AUGUST 4, 2021

By capturing and analyzing this data, agencies can learn how external forces are affecting fleet operation, including everything from weather, terrain, and loading to operator actions such as hard acceleration or braking. Cloudera is foundational in how we track and govern our data.” .

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side? The company’s Findability.ai

Unstructured Data 104

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 104

Smart Data Collective

APRIL 5, 2022

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 109

Data Lake Unstructured Data Data Warehouse Data Quality 109

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Smart Data Collective

OCTOBER 27, 2021

The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights.

Interactive 113

Interactive Unstructured Data Analytics Data Warehouse 113

Timo Elliott

JANUARY 3, 2022

Today’s data volumes have long since exceeded the capacities of straightforward human analysis, and so-called “unstructured” data, not stored in simple tables and columns, has required new tools and techniques. Improving data quality. Data augmentation. Learn More. Dark variables.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

Cloudera

OCTOBER 29, 2020

At Cloudera, we set out to directly address these lifecycle challenges through the Cloudera Data Platform (CDP) — the only hybrid-cloud, multi-cloud enterprise data platform built for the full data lifecycle. . Over the past months, we’ve been busy innovating and optimizing how teams across the lifecycle work together.

Visualization 109

Visualization Machine Learning Dashboards Data Warehouse 109

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Machine Learning 108

Machine Learning Manufacturing Unstructured Data Modeling 108

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. A digital twin is the digital representation of a physical asset.

Unstructured Data 77

Unstructured Data Consulting Visualization IoT 77

CIO Business Intelligence

JUNE 6, 2023

This has led to the development of new processors, such as graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and custom AI silicon, that are optimized for AI workloads. Solid-state drives (SSDs) and non-volatile memory express (NVMe) enable faster data access and processing.

Manufacturing 88

Manufacturing Unstructured Data Optimization Software 88

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

CIO Business Intelligence

JANUARY 20, 2023

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2]

Analytics 133

Analytics Key Performance Indicator Unstructured Data IoT 133

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science processes and methodologies. TensorFlow: Developed by Google and licensed under Apache License 2.0,

Data Science 139

Data Science Statistics Machine Learning Visualization 139

IBM Big Data Hub

JANUARY 10, 2024

Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Unstructured Data 79

Unstructured Data Deep Learning Cost-Benefit Modeling 79

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt opted to build its own enterprise data warehouse even as it built a data lake with Microsoft and Databricks to ensure that its handful of data scientists have both engines with which to manipulate structured and unstructured data sets. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

Cloudera

OCTOBER 28, 2020

The innovation, however, comes with their ability to analyze new, sometimes unstructured, data sources including clickstream data, location data, social media streams, news feeds, chatbots, and more. . However, the bank’s federated data marts gave each business only enough data to substantiate its own business.

Unstructured Data 71

Unstructured Data Data-driven Machine Learning Digital Transformation 71

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. The retailer uses these insights to optimize inventory levels, reduce costs and enhance efficiency.

Insurance 81

Insurance Data Warehouse Data-driven Unstructured Data 81

CIO Business Intelligence

APRIL 25, 2022

While the streaming quality of service, as the name suggests, analyzes both streaming and batch data to ensure optimum, tailored content is delivered to users, the gaming-specific service uses natural language processing for real-time detection of toxic language to ensure an optimal gaming experience for users.

Recreation/Entertainment 115

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 115

CIO Business Intelligence

OCTOBER 13, 2023

Information/data governance architect: These individuals establish and enforce data governance policies and procedures. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data Architecture 130

Data Architecture Data Warehouse Statistics Visualization 130

CIO Business Intelligence

DECEMBER 11, 2023

™ , an AI-powered intelligent document processing solution for back-office operations that uses machine learning, natural language processing, and computer vision. Focus on an administrative operation that is expensive, currently relies on heavy manual activity, and is hindered by a large amount of unstructured data.

Unstructured Data 74

Unstructured Data Interactive Data-driven Consulting 74

CIO Business Intelligence

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

Data Warehouse 93

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 93

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Diversity of workloads.

Metadata 87

Metadata Big Data Optimization Unstructured Data 87

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. NLP will account for $35.1 Putting NLP to Work.

Unstructured Data 92

Unstructured Data Deep Learning Insurance Interactive 92

Cloudera

SEPTEMBER 9, 2022

Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Imagine independently discovering rich new business insights from both structured and unstructured data working together, without having to beg for data sets to be made available.

Metadata 100

Metadata Machine Learning Unstructured Data Data Lake 100

Jet Global

MAY 9, 2024

Data Migration Pipelines : These pipelines move data from one system to another, often for the purpose of upgrading systems or consolidating data sources. For example, migrating customer data from an on-premises database to a cloud-based CRM system. structured, semi-structured, or unstructured data).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52