CIO Business Intelligence

FEBRUARY 20, 2024

Manufacturers have long held a data-driven vision for the future of their industry. It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 88

Data Architecture Unstructured Data Manufacturing IT 88

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 109

Unstructured Data Structured Data Enterprise Business Intelligence 109

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 72

Unstructured Data Structured Data Data Warehouse Testing 72

CIO Business Intelligence

JANUARY 24, 2024

Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. Here are some data strategy mistakes IT leaders would be wise to avoid. Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

CIO Business Intelligence

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. An estimated 90% of the global datasphere is comprised of unstructured data 1.

Unstructured Data 141

Unstructured Data Optimization Data-driven Strategy 141

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.

Unstructured Data 135

Unstructured Data Data Analytics Analytics Structured Data 135

CIO Business Intelligence

JUNE 14, 2023

There are those in the marketplace that brag about handling 250 PB of data, but that’s a snowflake in a snowstorm of how truly enormous big data can really be. There are those in the marketplace that brag about handling 250 PB of data, but that’s a snowflake in a snowstorm of how truly enormous big data can really be.

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Data Lake 167

Data Lake Unstructured Data Management Analytics 167

CIO Business Intelligence

OCTOBER 19, 2023

million terabytes of data will be generated by humans over the web and across devices. 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.

Data Integration 124

Data Integration Unstructured Data Data-driven Data Warehouse 124

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

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 110

IT Data Architecture Unstructured Data Big Data 110

Smart Data Collective

AUGUST 28, 2021

Data Warehouses and Data Lakes in a Nutshell. A data warehouse is used as a central storage space for large amounts of structured data coming from various sources. On the other hand, data lakes are flexible storages used to store unstructured, semi-structured, or structured raw data.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Structured Data 139

Cloudera

MAY 14, 2024

But getting there requires data, and a lot of it. More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate. Data comes in many forms.

Data Architecture 96

Data Architecture Data Governance Unstructured Data Structured Data 96

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 83

IT Data Architecture Unstructured Data Big Data 83

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. Unlike software, ML models need continuous tuning.

Unstructured Data 104

Unstructured Data Cost-Benefit Metadata Machine Learning 104

IBM Big Data Hub

NOVEMBER 29, 2023

Complex event processing (CEP) enables teams to transform their raw business events into relevant and actionable insights, to gain a persistent, up-to-date view of their critical data and to quickly move data to where it is needed, in the structure it’s needed in.

Unstructured Data 87

Unstructured Data Data-driven ROI Machine Learning 87

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Meet the data lakehouse.

Data Lake 107

Data Lake Unstructured Data Data Warehouse Data Quality 107

Ontotext

OCTOBER 19, 2023

The end goal is to give control of health data to patients so that they can build a comprehensive, interoperable, and reusable health medical record, which they can share with their treating physician anytime, anywhere. Furthermore, when these data are meaningfully combined, it will be possible to make new discoveries about individuals.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

DataKitchen

FEBRUARY 27, 2024

However, the foundation of their success rests not just on sophisticated algorithms or computational power but on the quality and integrity of the data they are trained on and interact with. The Role of Data Journeys in RAG The underlying data must be meticulously managed throughout its journey for RAG to function optimally.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

Smart Data Collective

SEPTEMBER 16, 2022

Speaking of global fintech trends, one cannot fail to mention Big Data. Big Data in finance refers to huge arrays of structured and unstructured data that can be used by banks and financial institutions to predict consumer behavior and develop strategies. Among them are distinguished: Structured data.

Finance 115

Finance Unstructured Data Cost-Benefit Big Data 115

CIO Business Intelligence

APRIL 25, 2024

At Salesforce World Tour NYC today, Salesforce unveiled a new global ecosystem of technology and solution providers geared to help its customers leverage third-party data via secure, bidirectional zero-copy integrations with Salesforce Data Cloud. It works in Salesforce just like any other native Salesforce data,” Carlson said.

Data Integration 110

Data Integration Data Lake Metadata Data Warehouse 110

Smart Data Collective

SEPTEMBER 23, 2020

A data warehouse is a storage area for filtered, structured data that has been processed already for a particular use, while Data Lake is a massive pool of raw data and the aim is still unknown. Data cleaning is a vital data skill as data comes in imperfect and messy types.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

CIO Business Intelligence

SEPTEMBER 20, 2023

One of the most exciting aspects of generative AI for organizations is its capacity for putting unstructured data to work, quickly culling information that thus far has been elusive through traditional machine learning techniques. So much of that is hidden away in the chat history, not all the rows and columns of structured data.

Insurance 127

Insurance Unstructured Data Cost-Benefit Interactive 127

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

Ontotext

DECEMBER 15, 2022

Today’s enterprises are increasingly daunted by the realization that more data doesn’t automatically equal deeper knowledge and better business decisions. The mere existence of the 175 zettabytes of data the International Data Corporation estimates the world will possess by 2025 doesn’t matter if organizations can’t leverage it effectively.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

CIO Business Intelligence

MARCH 29, 2024

Generative AI is becoming the virtual knowledge worker with the ability to connect different data points, summarize and synthesize insights in seconds, allowing us to focus on more high-value-add tasks,” says Ritu Jyoti, group vice president of worldwide AI and automation market research and advisory services at IDC. “It

Data Lake 122

Data Lake Machine Learning Data Warehouse Unstructured Data 122

CIO Business Intelligence

NOVEMBER 20, 2023

So, while understanding and decoding complex human DNA is the key to mitigating or curing diseases, it mandates working with massive and highly sophisticated data sets. Using that speed and intelligence together with various data sets and use cases, TGen translates lab discoveries into better patient treatments at an unprecedented pace.

Cost-Benefit 118

Cost-Benefit Unstructured Data Modeling Structured Data 118

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. Here is a high-level overview of the ILM steps and structure. Structure/Operationalize. Iron Mountain Capture/Enrich.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Ontotext

NOVEMBER 2, 2023

Solution to the Data Dilemma The good news is that the solution to this data dilemma is actually quite simple. It can be accomplished at a fraction of the cost of what organizations spend each year supporting the vast industry of data integration workarounds. In spite of all the activity, the data paradigm hasn’t evolved much.

IT 69

IT Cost-Benefit Data-driven Technology 69

Ontotext

JULY 20, 2023

We take data from any number of data sources, model it in a knowledge graph, train our chatbots on it and use it to dynamically build dialogs in natural language. Knowledge graphs solve the problem of having too much data and not being able to find anything in it by connecting and merging this data.

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 79

Data Science Data Analytics Prescriptive Analytics Analytics 79

Smart Data Collective

FEBRUARY 3, 2021

The strategy is a reflection of nature since it orders the structures in line with the Fibonacci sequence. What Impact Is Big Data Having Towards Investing? Big data is pushing the financial industry, and also have an impact on investing. Ten years ago, computers used to focus on analyzing structured data alone.

Big Data 139

Big Data Marketing Data Analytics Analytics 139

IBM Big Data Hub

JANUARY 10, 2024

Today’s AI technology has a range of use cases across various industries; businesses use AI to minimize human error, reduce high costs of operations, provide real-time data insights and improve the customer experience, among many other applications. AI operates on three fundamental components: data, algorithms and computing power.

Unstructured Data 78

Unstructured Data Deep Learning Cost-Benefit Modeling 78

Cloudera

SEPTEMBER 12, 2022

It sounds straightforward: you just need data and the means to analyze it. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. Yes and no.

Unstructured Data 74

Unstructured Data Data Architecture Data Lake Snapshot 74

IBM Big Data Hub

APRIL 18, 2023

They realized the system would not only need to capture and analyze every shot from every hole, it would also need to capture other data that improved understanding, such as the level of crowd noise. ” IBM was granted the award for an ensemble of AI and ML technologies that help people consume broadcast content in new ways.

Recreation/Entertainment 74

Recreation/Entertainment Broadcasting Unstructured Data Consulting 74

Smart Data Collective

MARCH 16, 2020

He should elaborate more on the benefits of big data and deep learning. A lot of big data experts argue that deep learning is key to controlling costs. Health IT Analytics wrote an article on the cost benefits of using big data in healthcare. Many experts presented data provided at the conference.

Deep Learning 78

Deep Learning Unstructured Data Cost-Benefit Big Data 78