AWS Big Data

SEPTEMBER 12, 2024

We use leading-edge analytics, data, and science to help clients make intelligent decisions. We developed and host several applications for our customers on Amazon Web Services (AWS). Neptune ingests both structured and unstructured data, simplifying the process to retrieve content across different sources and formats.

Unstructured Data 110

Unstructured Data Metadata Machine Learning Consulting 110

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Semi-structured. Final Thoughts.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

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 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

Cloudera

NOVEMBER 17, 2022

With CDP, HBL will manage data at scale through a centralized data lake, serving Pakistan, Sri Lanka, Singapore and other international territories. The bank will be able to secure, manage, and analyse huge volumes of structured and unstructured data, with the analytic tool of their choice. .

Management 85

Management Data Lake Consulting Unstructured Data 85

Domino Data Lab

JULY 2, 2019

Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? pointed out in “ The Case for Learned Index Structures ” (see video ) the internal smarts (B-trees, etc.) of relational databases represent early forms of machine learning. With me so far?

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Sisense

OCTOBER 6, 2020

Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. Making sense of and deriving patterns from it calls for newer, more advanced technology.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

SEPTEMBER 7, 2023

Today we are announcing our latest addition: a new family of IBM-built foundation models which will be available in watsonx.ai , our studio for generative AI, foundation models and machine learning. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 101

Modeling Risk Unstructured Data Enterprise 101

AWS Big Data

JUNE 18, 2024

These embeddings are stored and managed efficiently using specialized vector stores such as Amazon OpenSearch Service , which is designed to store and retrieve large volumes of high-dimensional vectors alongside structured and unstructured data. Praveen actively researches on applying machine learning to improve search relevance.

Dashboards 118

Dashboards Metadata Modeling Visualization 118

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 98

Data Lake Testing Interactive Unstructured Data 98

Cloudera

AUGUST 21, 2020

Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Historically these highly specialized platforms were deployed on-prem in private data centers to ensure greater control , security, and compliance. Streaming data analytics. .

Cost-Benefit 76

Cost-Benefit Big Data ROI Risk 76

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Flexibility.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 131

Data Lake Analytics Dashboards Metrics 131

AWS Big Data

MARCH 10, 2023

Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats. However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes.

Data Lake 121

Data Lake Sales Data Warehouse Snapshot 121

Ontotext

DECEMBER 1, 2023

He outlined the challenges of working effectively with AI and machine learning, where knowledge graphs are a differentiator. It was hosted by Ashleigh Faith, Founder at IsA DataThing, and featured James Buonocore, Business Consultant at EPAM, Lance Paine, and Gregory De Backer CEO at Cognizone.

Metadata 78

Metadata Sales Machine Learning Consulting 78

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. To overcome these issues, Orca decided to build a data lake.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Ontotext

NOVEMBER 22, 2020

Machine learning coupled with knowledge graphs is already collecting, categorizing, tagging and adding the needed structure to the endless (and useless) swathes of unstructured data. Multiple and varying ‘views’ of the data are now possible without modifying the data at its source and or the host system.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

CIO Business Intelligence

JULY 14, 2023

A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data. Fine-tuning applies to both hosted cloud LLMs and open source LLM models you run yourself, so this level of ‘shaping’ doesn’t commit you to one approach.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

JANUARY 16, 2024

Businesses are increasingly embracing data-intensive workloads, including high-performance computing, artificial intelligence (AI) and machine learning (ML). Such a platform choice helps ensure optimized resource allocation and is beneficial for hosting the action-based reactive microservices.

IT 84

IT Cost-Benefit Metrics Consulting 84

FineReport

APRIL 26, 2023

Recently, Spark set a new record by processing 100 terabytes of data in just 23 minutes, surpassing Hadoop’s previous world record of 71 minutes. This is why big tech companies are switching to Spark as it is highly suitable for machine learning and artificial intelligence.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. . public, private, hybrid cloud)?

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

CIO Business Intelligence

JANUARY 9, 2025

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

DataRobot

SEPTEMBER 14, 2021

DataRobot AI Cloud brings together any type of data from any source to give our customers a holistic view that drives their business: critical information in databases, data clouds, cloud storage systems, enterprise apps, and more. Unified, End-to-End Platform Across the AI Lifecycle.

Unstructured Data 52

Unstructured Data Data-driven Data Processing Modeling 52

CIO Business Intelligence

FEBRUARY 18, 2025

Data trust is simply not possible without data quality. It is the de facto foundation for reliability in machine learning, generative AI and agentic AI. None of what we do to achieve value from investments in data insights through AI is credible without quality data.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90

CIO Business Intelligence

OCTOBER 23, 2024

Maximizing the potential of data According to Deloitte’s Q3 state of generative AI report, 75% of organizations have increased spending on data lifecycle management due to gen AI. When I came into the company last November, we went through a data modernization with AWS,” Bostrom says. “We

Cost-Benefit 136

Cost-Benefit Enterprise Testing Consulting 136

AWS Big Data

JANUARY 29, 2025

Amazon EMR has long been the leading solution for processing big data in the cloud. Amazon EMR is the industry-leading big data solution for petabyte-scale data processing, interactive analytics, and machine learning using over 20 open source frameworks such as Apache Hadoop , Hive, and Apache Spark.

Big Data 94

Big Data Data Analytics Analytics Interactive 94