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

CIO Business Intelligence

JANUARY 24, 2024

“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. It will not be something they can ignore.

Data Strategy 134

Data Strategy Strategy Unstructured Data Data Governance 134

CIO Business Intelligence

OCTOBER 30, 2023

The key is to make data actionable for AI by implementing a comprehensive data management strategy. That’s because data is often siloed across on-premises, multiple clouds, and at the edge. Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data.

Unstructured Data 138

Unstructured Data Optimization Data-driven Strategy 138

CIO Business Intelligence

APRIL 24, 2024

Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.” The goal is to correlate all types of data that affect assets and bring it all into the digital twin to take timely action,” says D’Accolti.

Digital Transformation 94

Digital Transformation Business Intelligence Unstructured Data Data Lake 94

Smart Data Collective

MAY 13, 2022

In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. AI is undoubtedly a gamechanger for business intelligence. Before you can have AI-driven apps, you need to train a machine learning model to do the work.

Business Analytics 134

Business Analytics Analytics Unstructured Data Data-driven 134

CIO Business Intelligence

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Model sizes: ~5 billion to >1 trillion parameters. Model sizes: ~Millions to billions of parameters. Great for: Extracting meaning from unstructured data like network traffic, video & speech.

Deep Learning 86

Deep Learning Unstructured Data Machine Learning Modeling 86

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 80

Data Architecture Unstructured Data Manufacturing IT 80

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 132

Unstructured Data Data Analytics Analytics Structured Data 132

CIO Business Intelligence

DECEMBER 19, 2023

Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model. Second, CIOs must identify the gaps between the hype of what business leaders expect from IT departments and the realities.

Digital Transformation 139

Digital Transformation Unstructured Data Machine Learning Risk Management 139

CIO Business Intelligence

JUNE 19, 2023

No industry generates as much actionable data as the finance industry, and as AI enters the mainstream, user behaviour and corporate production and service models will all need to quickly adapt. Resilient infrastructure is the key to delivering on the promise of real-time transformation of data into decisions, Mr. Cao said.

Finance 94

Finance Unstructured Data Data Processing Data Architecture 94

CIO Business Intelligence

JANUARY 22, 2024

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations.

Unstructured Data 83

Unstructured Data Digital Transformation Data Strategy Modeling 83

CIO Business Intelligence

JUNE 15, 2023

No industry generates as much actionable data as the finance industry, and as AI enters the mainstream, user behaviour and corporate production and service models will all need to quickly adapt. Resilient infrastructure is the key to delivering on the promise of real-time transformation of data into decisions, Mr. Cao said.

Unstructured Data 80

Unstructured Data Finance Data Processing Data Architecture 80

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 90

Unstructured Data Data-driven Risk Technology 90

CIO Business Intelligence

AUGUST 9, 2023

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity.

Unstructured Data 86

Unstructured Data Modeling Data Architecture Enterprise 86

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 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. Transformer models take applications such as language translation and chatbots to a new level.

Unstructured Data 138

Unstructured Data Modeling Machine Learning Data mining 138

CIO Business Intelligence

FEBRUARY 29, 2024

The tool enables businesses to extract intelligence from across a diversity of different data sources using large language models (LLMs – a type of generative AI capable of producing human-like text). What’s more, manufacturing data is growing at exponential rates, estimated at 200-500% over the next five years.

Manufacturing 102

Manufacturing Unstructured Data Cost-Benefit Risk 102

CIO Business Intelligence

MAY 8, 2024

In about six months, Expion’s two AI developers created ExpionIQ Advisor, a tool that uses linear regression, multiple algorithms, and custom-built AI models to automate prescription RFPs. Now, if the model is drifting away, we get alerted automatically, and we fix it.” In the past, anybody could make a mistake easily.

IT 92

IT Cost-Benefit Insurance Unstructured Data 92

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. Despite being primarily an AWS shop, Rocket has taken a model-agnostic approach to generative AI platforms.

Data Lake 114

Data Lake Machine Learning Data Warehouse Unstructured Data 114

CIO Business Intelligence

JANUARY 19, 2024

In addition, natural language processing (NLP) models can enhance in-game chats to create natural and real-time interactions. That’s because many organizations are currently operating with disparate IT systems that employ traditional data storage systems that are not designed to handle AI workloads and unstructured data in real-time.

Unstructured Data 105

Unstructured Data Recreation/Entertainment Data-driven Interactive 105

CIO Business Intelligence

SEPTEMBER 7, 2023

That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. Assessments and investments must include generative AI’s specific storage and data management needs.

Unstructured Data 103

Unstructured Data Cost-Benefit Risk Data-driven 103

CIO Business Intelligence

APRIL 27, 2022

This is no difference in the development of AI models, where initial results may lead teams down a new path that requires a rethinking of their AI infrastructure. “AI Models drift over time because the data that fuels them changes over time. AI is never one and done,” said Tony Paikeday, senior director of AI systems at NVIDIA.

Modeling 52

Modeling Advertising Unstructured Data Cost-Benefit 52

datapine

AUGUST 14, 2019

Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? In the past, data scientists had to rely on powerful computers to manage large volumes of data. Geet our bite-sized free summary and start building your data skills! BI Tools And Applications.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

APRIL 25, 2024

“The challenge that a lot of our customers have is that requires you to copy that data, store it in Salesforce; you have to create a place to store it; you have to create an object or field in which to store it; and then you have to maintain that pipeline of data synchronization and make sure that data is updated,” Carlson said.

Data Integration 105

Data Integration Data Lake Metadata Data Warehouse 105

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 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

CIO Business Intelligence

NOVEMBER 20, 2023

As a technology professional, seeing how artificial intelligence (AI) and generative AI/large language models can improve and save lives makes me think about the significant difference this can have on families and communities worldwide–including mine. 1] [link] [2] [link] [3] [link] [4] [link] Artificial Intelligence

Cost-Benefit 110

Cost-Benefit Unstructured Data Modeling Structured Data 110

CIO Business Intelligence

NOVEMBER 1, 2023

SAP doesn’t want to build those tools from scratch itself: “We definitely want to leverage what’s already out there,” Sun said, noting there are already many large language models (LLMs) it can build on, adding its own prompting, fine tuning, and data embedding to get those models to business customers quickly.

Enterprise 128

Enterprise Cost-Benefit Unstructured Data Software 128

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. For example, data analysts should be on board to investigate the data before presenting it to the team and to maintain data models.

Data Science 137

Data Science Statistics Machine Learning Visualization 137

Smarten

JUNE 10, 2022

Your senior execs and managers want to leverage data and information to gain a competitive advantage and succeed. Data Privacy to ensure government and industry regulations are in compliance as business users adopt self-serve BI tools. Predictive Modeling to support business needs, forecast, and test theories.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

SEPTEMBER 14, 2023

While data engineers develop, test, and maintain data pipelines and data architectures, data scientists tease out insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Analytics 131

Analytics Data Science Unstructured Data Data mining 131

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

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 122

Unstructured Data Data-driven Visualization Data Quality 122

CIO Business Intelligence

OCTOBER 11, 2023

While international conflict, economic uncertainty and climate change are affecting businesses of all kinds, energy companies and utilities are also dealing with aging infrastructure, constant cyberattacks, increased regulation and rising customer expectations. And by 2028, the AI spend is likely to more than quadruple to 14.257 billion USD.

Unstructured Data 133

Unstructured Data Uncertainty Risk Data Processing 133

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 126

Data Architecture Data Warehouse Statistics Visualization 126

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. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

CIO Business Intelligence

MARCH 7, 2023

OpenAI’s text-generating ChatGPT, along with its image generation cousin DALL-E, are the most prominent among a series of large language models, also known as generative language models or generative AI, that have captured the public’s imagination over the last year. And, he says, using generative AI for coding has worked well.

Enterprise 112

Enterprise IT Experimentation Unstructured Data 112

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.

Finance 130

Finance Unstructured Data Risk Cost-Benefit 130