CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

Cloudera

APRIL 1, 2024

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools.

Unstructured Data 104

Unstructured Data Cost-Benefit Metadata Machine Learning 104

erwin

JANUARY 9, 2020

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. Today’s data modeling is not your father’s data modeling software.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

IBM Big Data Hub

OCTOBER 3, 2023

And this year, ESPN Fantasy Football is using AI models built with watsonx to provide 11 million fantasy managers with a data-rich, AI-infused experience that transcends traditional statistics. However, the challenge lies in harnessing the wealth of “unstructured” data that permeates the sports media landscape.

Modeling 94

Modeling Statistics Consulting Unstructured Data 94

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. For getting data from Amazon Redshift, we use the Anthropic Claude 2.0

Unstructured Data 66

Unstructured Data Structured Data Data Warehouse Testing 66

CIO Business Intelligence

FEBRUARY 20, 2024

Data remains siloed in facilities, departments, and systems –and between IT and OT networks (according to a report by The Manufacturer , just 23% of businesses have achieved more than a basic level of IT and OT convergence). Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 89

Data Architecture Unstructured Data Manufacturing IT 89

CIO Business Intelligence

MARCH 6, 2024

SAP unveiled Datasphere a year ago as a comprehensive data service, built on SAP Business Technology Platform (BTP), to provide a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization.

Unstructured Data 118

Unstructured Data Dashboards Business Intelligence Data Governance 118

CIO Business Intelligence

JANUARY 30, 2024

New ways to learn While the traditional classroom is likely here to stay, new learning vehicles that augment classrooms are emerging from generative AI models. Today, many institutions are gridlocked because AI and generative AI have very different data and IT needs than traditional technology.

Unstructured Data 98

Unstructured Data Data-driven Risk Technology 98

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

MAY 14, 2024

Read the report: CEO’s guide to AI in finance Unlocking the value CFOs are not expected to be technology experts. The recent IBM Institute for Business Value report CEO’s Guide to Generative AI on Finance report found “success depends on how quickly finance can turn data into actionable insights.”

Finance 71

Finance Cost-Benefit Reporting Forecasting 71

CIO Business Intelligence

APRIL 24, 2024

We started with an evolution of the CRM to manage the citizen relationship, and the various requests and reports: those who come into contact with the AMA must be recognized on any channel and receive consistent answers in a multichannel perspective,” he says. From there, the actual digitization project can be implemented. “We

Digital Transformation 101

Digital Transformation Business Intelligence Unstructured Data Data Lake 101

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? 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. Semi-structured data falls between the two.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

Smart Data Collective

AUGUST 28, 2021

Usually, business or data analysts need to extract insights for reporting purposes, so data warehouses are more suitable for them. On the other hand, a data scientist may require access to unstructured data to detect patterns or build a deep learning model, which means that a data lake is a perfect fit for them.

Data Lake 139

Data Lake Data Warehouse Unstructured Data Structured Data 139

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

CIO Business Intelligence

FEBRUARY 10, 2023

The CIO of a regulatory agency that reports to the US Securities and Exchange Commission — one of the biggest cloud consumers in the world — has made it his mission to help other CIOs — and Amazon Web Services itself — improve cloud computing.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

CIO Business Intelligence

JUNE 14, 2023

How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure. Evaluate data across the full lifecycle.

Unstructured Data 63

Unstructured Data IT Manufacturing Visualization 63

Jet Global

NOVEMBER 5, 2020

Reporting will change in D365 F&SCM, and those changes could significantly increase complexity and total cost of ownership. To enhance security, Microsoft has decided to restrict that kind of direct database access in D365 F&SCM and replace it with an abstraction layer comprised of something called “data entities”.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

CIO Business Intelligence

OCTOBER 11, 2023

To overcome these challenges, energy companies are increasingly turning to artificial intelligence (AI), particularly generative AI large language models (LLM). A recent report from CNBC 3 noted, “Most of the U.S. First, AI is improving weather models so that utilities can have a better idea of where disaster might strike.

Unstructured Data 136

Unstructured Data Uncertainty Risk Data Processing 136

Ontotext

OCTOBER 19, 2023

We need to solve many problems, including deduplication of data that refers to the same entity, extracting structured data within narratives in different languages, as well as mapping them to a common and international ontology. Cleaning and integrating this data to create a unified and accurate patient profile is essential.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

CIO Business Intelligence

MAY 9, 2024

In today’s data-driven world, the ability to seamlessly integrate structured and unstructured data in a hybrid cloud environment is critical for organizations seeking to harness the full potential of their data assets.

Digital Transformation 52

Digital Transformation Data Integration Unstructured Data Data-driven 52

CIO Business Intelligence

SEPTEMBER 29, 2023

That’s because generative AI large language models (LLMs) have prowess in text-based generation, readily finding language and word patterns. That’s because vast, real-time, unstructured data sets are used to build, train, and implement generative AI. Regulatory compliance.

Finance 132

Finance Unstructured Data Risk Cost-Benefit 132

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. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Datasphere manages and integrates structured, semi-structured, and unstructured data types.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

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

JUNE 7, 2022

The move to remote work and the surge in online everything during the COVID-19 pandemic have led many companies that provide financial services to rethink their business models to accommodate the changing needs of employees and customers. NLP solutions can be used to analyze the mountains of structured and unstructured data within companies.

Unstructured Data 92

Unstructured Data Deep Learning Insurance Interactive 92

IBM Big Data Hub

OCTOBER 12, 2022

Every football season, millions of articles, blog posts, podcasts and videos are produced by the media, offering expert analysis on everything from player performance to injury reports. To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football.

Unstructured Data 83

Unstructured Data Consulting Statistics Data-driven 83

CIO Business Intelligence

JANUARY 22, 2024

Unlike prior chatbots and other digital point solutions, generative AI technology is transformative because it unlocks the power of unstructured data to create new content. In addition, large language models can both summarize massive amounts of data and create new, original content.

Cost-Benefit 104

Cost-Benefit Digital Transformation Data-driven Interactive 104

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

CIO Business Intelligence

OCTOBER 23, 2023

While such tools remain critical for corporations, they’re also relatively flat and robotic compared to GenAI technologies, whose sweet spot is understanding natural language prompts to generate contextually relevant information from unstructured data. It’s AI democratized for the masses.

Sales 133

Sales Unstructured Data Interactive Marketing 133

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

Cloudera

AUGUST 4, 2021

In addition, the US Department of Energy recently released a report concluding that an effective predictive maintenance program is 8 to 12 percent more cost effective than a program that relies solely on preventative maintenance. . images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

CIO Business Intelligence

DECEMBER 19, 2023

Gen AI models can sift through vast quantities of unstructured data related to bonds, identify critical information, and compare it against risk parameters. “It BondReco is built on top of a highly secure enterprise large language model accessed through Microsoft’s Azure cloud.

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

MARCH 13, 2023

“The main challenge is how can companies extract data out of every silo and make it more meaningful,” says Manoj Palaniswamy, Principal Architect, Data & AI Services at Kyndryl. They need to bring it into an environment where it can be used for analytics, reporting, AI, and machine learning.”

Unstructured Data 52

Unstructured Data Data Strategy Data-driven Consulting 52

Cloudera

FEBRUARY 15, 2024

Cultural shift and technology adoption: Traditional banks and insurance companies must adapt to the emergence of fintech firms and changing business models. Financial institutions must demonstrate robust risk accountability and governance, as well as maintain consumer protections.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

IBM Big Data Hub

APRIL 18, 2023

” Pioneering use of unstructured text data For over a decade, IBM has been gathering insight from unstructured data (such as that used in large language models) to provide real-time insight to its sports and entertainment clients and to enhance predictive analysis.

Recreation/Entertainment 75

Recreation/Entertainment Broadcasting Unstructured Data Consulting 75