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

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

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. CRM platforms).

Data Processing 92

Data Processing Data Warehouse Enterprise Visualization 92

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. Improved scalability and agility. A phased approach to modernization.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Unstructured. Unstructured data lacks a specific format or structure.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

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 104

Modeling Risk Unstructured Data Enterprise 104

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 Consulting Enterprise 78

Sisense

OCTOBER 6, 2020

The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? Quantitative data is often viewed as the bedrock of your business intelligence and analytics program because it can reveal valuable insights for your organization. It’s generated by a host of sources in different ways.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 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. To be continued.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

DataRobot

SEPTEMBER 14, 2021

We’re building a platform for all users: data scientists, analytics experts, business users, and IT. 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.

Unstructured Data 52

Unstructured Data Data-driven Data Processing Modeling 52

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting.

Technology 279

Technology Internet of Things IT IoT 279

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. He holds a PhD on data management in the cloud.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

Ontotext

NOVEMBER 22, 2020

Ontotext is also on the list of vendors supporting knowledge graph capabilities in their “2021 Planning Guide for Data Analytics and Artificial Intelligence” report. Continuous Data Operations and Data Management for Analytics and Master Data Management. Data silos are as costly as they are inevitable.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

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 79

Data Lake Testing Interactive Unstructured Data 79

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? That speaks to the remarkable learning curve aspects of SQL, how oh-so-much data munging can be performed without having to sweat the details. Machine learning plays a big role in this movie.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Streaming data analytics. .

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74