AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

CIO Business Intelligence

AUGUST 1, 2023

The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. This opportunity is greater today because of generative AI, especially when CIOs centralize unstructured data in an LLM and enable service agents to ask and answer customers’ questions.

Digital Transformation 96

Digital Transformation Unstructured Data Strategy Experimentation 96

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. But numbers only tell half the story. For the past seven years, ESPN has worked closely with IBM to help tell the whole tale.

Modeling 92

Modeling Statistics Consulting Unstructured Data 92

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data modeling basics.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

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 76

Data Architecture Unstructured Data Manufacturing IT 76

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). Using Microsoft Copilot, workers can also better avoid quality issues that in can cause safety issues and put lives at risk.

Manufacturing 96

Manufacturing Unstructured Data Cost-Benefit Risk 96

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. The second challenge is managing new risks, which stem primarily from the threat of misinformation.

Unstructured Data 97

Unstructured Data Cost-Benefit Risk Data-driven 97

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

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. There is also the inherent risk of technology outages, data breaches, and a lack of human emotion and empathy when technology teaches students.

Unstructured Data 84

Unstructured Data Data-driven Risk Technology 84

CIO Business Intelligence

MARCH 28, 2024

From using large language models (LLMs) for clinical decision support, patient journey trajectories, and efficient medical documentation, to enabling physicians to build best-in-class medical chatbots, healthcare is making major strides in getting generative AI into production and showing immediate value.

Unstructured Data 87

Unstructured Data Data-driven Risk Insurance 87

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. The process of creating models is called modeling.

Modeling 64

Modeling IT Risk Management Deep Learning 64

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. In this context, multi-tool Data Journey observability becomes crucial.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

CIO Business Intelligence

MAY 8, 2024

“Underwriters used to have at least 10 versions of the Excel sheets, and then they’re pumping this data into the Excel sheet and just doing the math,” says D.S. We take the financial risk for this, which means that if there is anything that’s misrepresented, the money comes from our pocket.”

IT 87

IT Cost-Benefit Insurance Unstructured Data 87

CIO Business Intelligence

SEPTEMBER 29, 2023

Financial organizations want to capture generative AI’s tremendous potential while mitigating its risks. That’s because generative AI large language models (LLMs) have prowess in text-based generation, readily finding language and word patterns. At the top of that list are data privacy and security as well as output accuracy.

Finance 127

Finance Unstructured Data Risk Cost-Benefit 127

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). First, AI is improving weather models so that utilities can have a better idea of where disaster might strike. Today, over 70% of the U.S. How can AI and generative AI help?

Unstructured Data 130

Unstructured Data Uncertainty Risk Data Processing 130

Cloudera

DECEMBER 19, 2023

In fact, most of the public servants I spoke with were predominantly cautious about the current limitations of generative AI, and underscored the need to ensure that models are used responsibly and ethically. As also expected, most had experimented on their own with large language models (LLM) and image generators.

Optimization 88

Optimization Cost-Benefit Unstructured Data Risk 88

CIO Business Intelligence

SEPTEMBER 20, 2023

Most commonly, organizations developing plans for generative AI are opting to fine-tune third-party models like OpenAI’s GPT 4.0, LLaMA from Meta, Google LaMDA, or Amazon’s Titan series, with their own proprietary data. Which means that no model will have the power to make decisions. For now, at least. May I help you?

Insurance 117

Insurance Unstructured Data Cost-Benefit Interactive 117

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.

Risk 52

Risk Management Scorecard Forecasting 52

IBM Big Data Hub

DECEMBER 1, 2023

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

Insurance 99

Insurance Digital Transformation Unstructured Data Risk 99

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

Unstructured Data 91

Unstructured Data Cost-Benefit Experimentation Machine Learning 91

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

O'Reilly on Data

SEPTEMBER 19, 2023

But the grouping and summarizing just wasn’t exciting enough for the data addicts. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. But then we hit another hurdle.

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

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

Cloudera

DECEMBER 11, 2020

These include the use of more data sources to gain insights and how cloud technologies can assist with digital transformation goals to be more agile and achieve objectives more quickly. Data Variety. Insurance and finance are two industries that rely on measuring risk with historical data models.

Insurance 94

Insurance Digital Transformation Unstructured Data Machine Learning 94

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

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. Why do risk and opportunity events matter? , and “What is the financial impact?”.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

JANUARY 10, 2024

AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended. For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Unstructured Data 77

Unstructured Data Deep Learning Cost-Benefit Modeling 77

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 107

Enterprise IT Experimentation Unstructured Data 107

Smart Data Collective

AUGUST 30, 2022

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. Cloud computing allows companies’ multiple servers to store and manage their data in a distributed fashion. Centralized data storage. Multi-cloud computing. Before you go.

Technology 133

Technology Enterprise Cost-Benefit Testing 133

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 95

Data Lake Unstructured Data Data Warehouse Data Quality 95

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 121

Sales Unstructured Data Interactive Marketing 121

IBM Big Data Hub

MAY 14, 2024

A generative AI agent or assistant can ingest and summarize structured and unstructured data from internal and external sources, parse through it and generate insights and patterns for financial information that can drive business value and potentially identify untapped revenue streams.

Finance 69

Finance Cost-Benefit Reporting Forecasting 69

Cloudera

JANUARY 28, 2022

Open and extensible to support new clouds, data types and data services. All in a distributed cloud model that spans multi-public, private & edge clouds. . Here, I’ll provide some guidance on key considerations for a hybrid data cloud. Hybrid Data Cloud includes a Multi-cloud approach.

Slice and Dice 113

Slice and Dice Cost-Benefit Risk Data Governance 113

Smart Data Collective

FEBRUARY 3, 2021

As time goes by, the benefits of big data will be largely impactful as business activities continue to pose a huge environmental risk and many people begin investing dependent on the impact of these businesses. How Big Data Is Changing the Type Of Information Under Analysis of the Financial Markets.

Big Data 139

Big Data Marketing Data Analytics Analytics 139

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Today’s foundational models are jacks-of-all-trades. All of PwC’s clients are having this discussion, he says.

Enterprise 124

Enterprise Consulting Modeling Cost-Benefit 124

IBM Big Data Hub

OCTOBER 12, 2022

To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football. It lets a fantasy owner visualize the risk-and-reward scenarios, see trends over time and field a more competitive team. Not anymore. to ensure continuous availability).

Unstructured Data 80

Unstructured Data Consulting Statistics Data-driven 80

IBM Big Data Hub

FEBRUARY 14, 2024

Other uses include Netflix offering viewing recommendations powered by models that process data sets collected from viewing history; LinkedIn uses ML to filter items in a newsfeed, making employment recommendations and suggestions on who to connect with; and Spotify uses ML models to generate its song recommendations.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83