Octopai

JUNE 26, 2020

Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Enterprise data governance. Enterprises, such as Steve’s company, understand that they need a proper data governance strategy in place to successfully manage all the data they process.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. How can you build knowledge graphs for enterprise applications? Enterprises generate an enormous amount of data and content every minute.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

CIO Business Intelligence

DECEMBER 14, 2023

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

Unstructured Data 113

Unstructured Data Structured Data Enterprise Business Intelligence 113

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Why Enterprise Knowledge Graphs? Knowledge graphs offer a smart way out of these challenges.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

IBM Big Data Hub

MARCH 29, 2024

Enterprise applications serve as repositories for extensive data models, encompassing historical and operational data in diverse databases. Generative AI foundational models train on massive amounts of unstructured and structured data, but the orchestration is critical to success.

Management 92

Management Structured Data Modeling Data Governance 92

CIO Business Intelligence

FEBRUARY 20, 2024

Brendan Mislin, General Manager, Industry X at Avanade, comments: “Manufacturers looking to use Microsoft Copilot and other generative AI tools first need to enable data use from across operational and enterprise applications and break down legacy OT and IT siloes.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

OCTOBER 19, 2023

That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion. This post handpicks various challenges for existing integration solutions.

Data Integration 125

Data Integration Unstructured Data Data-driven Data Warehouse 125

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. have encouraged the creation of unstructured data. What’s hiding in your unstructured data?

Unstructured Data 98

Unstructured Data IoT Metadata Modeling 98

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon Introduction Google’s BigQuery is an enterprise-grade cloud-native data warehouse. Since its inception, BigQuery has evolved into a more economical and fully managed data warehouse that can run lightning-fast […].

Data Warehouse 333

Data Warehouse Data Science Publishing Enterprise 333

CIO Business Intelligence

APRIL 26, 2024

Count TransUnion among the rising tide of enterprises evolving their identities thanks to IT. “We It also enables customers to tap into that mountain of data and apply advanced AI applications to mine more value out of it. Artificial Intelligence, Data Management, Digital Transformation, Financial Services Industry

Modeling 62

Modeling IT Machine Learning Data Governance 62

IBM Big Data Hub

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

Ontotext

MAY 25, 2023

The conference positioning focused on knowledge graphs as a mature, enterprise-ready technology for long-term and mission-critical use cases that require security, resilience and scalability. This fellowship is an ideal option for enterprises looking for a solution that can be viable for 5+ years to maximize return on investment.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

IBM Big Data Hub

APRIL 26, 2023

They are a technologically motivated enterprise, so it’s no surprise that they would apply this forward-thinking view to their finance reporting as well. Switching to IBM Business Analytics gave Jabil the ability to gather and structure data in a centralized approach for management.

Business Analytics 84

Business Analytics Reporting Analytics Finance 84

CIO Business Intelligence

MARCH 24, 2023

Whereas data governance is about the roles, responsibilities, and processes for ensuring accountability for and ownership of data assets, DAMA defines data management as “an overarching term that describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

MARCH 29, 2024

As such, paramount to Rocket’s AI push is the creation of a modern data platform that incorporates 10,000 terabytes of data stored in on-prem data warehouses for more than a decade and semi-structured data stored in an AWS cloud lake.

Data Lake 133

Data Lake Machine Learning Data Warehouse Unstructured Data 133

Smarten

MAY 17, 2023

” If you are like most businesses, you want to get ahead of the competition but, you don’t want to make a misstep or exposure the enterprise to unnecessary risk. . “So, proceed, but don’t over pivot.”

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

CIO Business Intelligence

APRIL 25, 2024

Zero-copy integration eliminates the need for manual data movement, preserving data lineage and enabling centralized control fat the data source. Currently, Data Cloud leverages live SQL queries to access data from external data platforms via zero copy. CRM Systems, Data Management, Salesforce.com

Data Integration 57

Data Integration Data Lake Metadata Data Warehouse 57

CIO Business Intelligence

APRIL 14, 2022

With data-driven decisions and digital services at the center of most businesses these days, enterprises can never get enough data to fuel their operations. But not every bit of data that could benefit a business can be readily produced, cleansed, and analyzed by internal means. Who needs data as a service (DaaS)?

Enterprise 138

Enterprise Marketing Measurement Reporting 138

CIO Business Intelligence

NOVEMBER 14, 2022

The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more. It especially focuses on decision trees for call centers, customer self-service, CRM integration, and enterprise data. Model-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

NOVEMBER 16, 2023

The most popular LLMs in the enterprise today are ChatGPT and other OpenAI GPT models, Anthropic’s Claude, Meta’s Llama 2, and Falcon, an open-source model from the Technology Innovation Institute in Abu Dhabi best known for its support for languages other than English. Things are changing week by week. We have every model working,” he adds.

Modeling 139

Modeling Enterprise Marketing Sales 139

Smarten

AUGUST 23, 2023

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Addressing the challenges of data. Less will be analysed. Conclusions.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 117

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 117

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 105

Data Lake Data Warehouse Unstructured Data Big Data 105

Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. Big data and data warehousing.

Technology 131

Technology Data Warehouse Big Data Machine Learning 131

IBM Big Data Hub

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency. Event endpoint management : Describe and document events easily according to the Async API specification.

Unstructured Data 93

Unstructured Data Data-driven ROI Machine Learning 93

IBM Big Data Hub

JULY 26, 2023

AI tools like ChatGPT are grabbing headlines, but other AI techniques and tools specifically designed for enterprises are quietly helping companies meet their sustainability goals. This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples.

Optimization 80

Optimization Manufacturing Cost-Benefit Risk 80

Laminar Security

APRIL 18, 2023

The Addition of Google Cloud & Snowflake Support Make Laminar the First Cloud-native Data Security Platform to Fully Support Multi-cloud Architectures As cloud technologies continue to drive business innovation, organizations are turning to multi-cloud infrastructure to meet their diverse needs.

Data Warehouse 52

Data Warehouse Risk Cost-Benefit Structured Data 52

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “Being able to organize the data around that structure helps us to efficiently query, retrieve and use the information downstream, for example for AI narration.”

Management 87

Management IT Machine Learning Metrics 87

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Self-Service.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Cloudera

DECEMBER 11, 2020

Crucial to Merck KGaA’s success is the ability to access and utilize data from across the enterprise that is GxP regulated and qualified. Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Ontotext

JULY 20, 2023

Whether it’s a chatbot, a voicebot, or an enterprise search, our knowledge-based Conversational AI platform enables personalized interactions to increase customer satisfaction and improve the efficiency of businesses. When we need this data for a conversation we can use it directly with the Large Language Model.

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

Analytics Vidhya

NOVEMBER 26, 2020

Introduction: Gone are the days when enterprises set up their own in-house server and spending a gigantic amount of budget on storage infrastructure & The post Deployment of ML models in Cloud – AWS SageMaker?(in-built in-built algorithms) appeared first on Analytics Vidhya.

Modeling 167

Modeling Enterprise Analytics Structured Data 167

CIO Business Intelligence

DECEMBER 4, 2023

When you enrich, structure, and operationalize data on the way in, there is no limit to the efficiencies, value streams, and insights unlocked by readily available powerful cloud platform tools.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

erwin

SEPTEMBER 10, 2020

As I mentioned above, the three Vs of data and the integration of systems makes it difficult to understand the resulting data web much less capture a simple visual of that flow. Yet a consistent view of data and how it flows is paramount to the success of enterprise data governance and any data-driven initiative.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131