CIO Business Intelligence

JANUARY 19, 2024

Generative AI will take the gaming world from the current scripted and somewhat limited interactions to a vast selection of player-driven dynamic experiences. Expanding the universe of possibilities Gaming worlds are a major draw for gamers—and the ability to keep these worlds interesting and evolving is important to maintaining interaction.

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Unstructured Data Recreation/Entertainment Data-driven Interactive 99

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. Without this, LLMs cannot reliably interpret or generate meaningful outputs.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

Unstructured Data 86

Unstructured Data Data-driven ROI Machine Learning 86

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

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

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.

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Unstructured Data Digital Transformation Data Strategy Modeling 79

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.

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Unstructured Data Cost-Benefit Metadata Machine Learning 104

IBM Big Data Hub

SEPTEMBER 13, 2023

Digital transformation drives many IT investments, with a focus on adapting to new work models and customer expectations, increasing capacity to respond to higher demand, managing growth with fewer resources, enhancing eCommerce capabilities, and supporting security and compliance requirements.

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Digital Transformation Consulting Unstructured Data Recreation/Entertainment 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 83

Unstructured Data Modeling Data Architecture Enterprise 83

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” ” I’ve called out the data field’s rebranding efforts before; but even then, I acknowledged that these weren’t just new coats of paint. But then we hit another hurdle.

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CIO Business Intelligence

JANUARY 22, 2024

Plus, the implementation of cloud technology and the ability to use data at scale has markedly improved. Adding generative AI to this mix creates a catalyst to dramatically boost productivity and lower costs by assisting human interactions with automation.

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Cost-Benefit Digital Transformation Data-driven Interactive 97

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 97

Unstructured Data Cost-Benefit Risk Data-driven 97

CIO Business Intelligence

NOVEMBER 21, 2022

Gartner predicts that context-driven analytics and AI models will replace 60% of existing models built on traditional data by 2025. That’s making our lives simpler and more convenient. This is because only 50% of them had their issue or concern resolved.

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Unstructured Data Interactive Data-driven Dashboards 134

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

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.

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Modeling Advertising Unstructured Data Cost-Benefit 52

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

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

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

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. “The

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Sales Unstructured Data Interactive Marketing 121

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.

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Unstructured Data IT Manufacturing Visualization 62

CIO Business Intelligence

DECEMBER 11, 2023

With generative AI-based analytics and large language models, healthcare professionals will have a greater capacity to make tailored recommendations for preventative screenings and services. Implementing generative AI within a contact center can greatly improve the customer experience by making interactions quicker and more efficient.

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Unstructured Data Interactive Data-driven Consulting 73

Cloudera

DECEMBER 11, 2020

A recent McKinsey survey, cited in CRN , shows that worldwide, 58 percent of customer interactions were digital as of July 2020. That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018. This can be done at speed, and at scale.

Insurance 94

Insurance Digital Transformation Unstructured Data Machine Learning 94

CIO Business Intelligence

JUNE 7, 2022

Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research. NLP solutions can be used to analyze the mountains of structured and unstructured data within companies.

Unstructured Data 80

Unstructured Data Deep Learning Insurance Interactive 80

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.

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Statistics Unstructured Data Data Science Visualization 106

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

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. Challenges Facing Conversational AI One of the main challenges when building Conversational AI is domain modeling.

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

Smart Data Collective

APRIL 5, 2022

This feature helps automate many parts of the data preparation and data model development process. This significantly reduces the amount of time needed to engage in data science tasks. A text analytics interface that helps derive actionable insights from unstructured data sets. Neptune.ai. Neptune.AI

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Cost-Benefit Machine Learning Data Science Unstructured Data 123

CIO Business Intelligence

JUNE 27, 2023

Equally, if not more important, is the need for enhanced data storage and management to handle new applications. These applications require faster parallel processing of data in diverse formats. Nowadays, 80% of data is unstructured data, with a compound annual growth rate (CAGR) of 38%.

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Unstructured Data Big Data Digital Transformation Enterprise 84

CIO Business Intelligence

JULY 26, 2023

They are designed to interact with humans and perform certain actions, using natural language processing, and other artificial intelligence (AI) techniques. Large Language Models (LLMs). The digital entity’s form is based on the use case, spanning humanoid, animal-based representation (e.g., therapy dogs) or cartoon entity.

Technology 79

Technology Unstructured Data Forecasting Visualization 79

IBM Big Data Hub

DECEMBER 4, 2023

This approach can accelerate speed-to-market by providing enhanced capabilities for developing innovative products and services, facilitating business growth and improving the overall customer experience in their interactions with the company.

Insurance 54

Insurance Digital Transformation Risk Management Interactive 54

Smarten

JUNE 10, 2022

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. A BI tool is crucial for business users to monitor and present data.

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Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

datapine

DECEMBER 4, 2019

The accuracy of the predictions depends on the data used to create the model. For instance, if a model is created based on the factors inherent at one company, it doesn’t necessarily apply at a second company. The same may be true about a model for one year compared to the next year within the same company.

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Ontotext

MAY 22, 2023

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? To start with, Large Language Models (LLM) will not replace databases. They are good for compressing information, but one cannot retrieve from such a model the same information that it got trained on. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

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Data Warehouse Unstructured Data Analytics Visualization 58

Cloudera

DECEMBER 7, 2020

These pillars are based upon personalized interactions, customer-centric merchandising, supply chain agility, and reimagining stores. As people are central to retail, we will start with insights founded on accelerating customer insight and relevance through personalized interactions. . Personalized Interactions Driven by Data.

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Cost-Benefit Interactive Unstructured Data Big Data 61

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.

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Data Science Statistics Machine Learning Visualization 135

IBM Big Data Hub

SEPTEMBER 13, 2023

While chat bots have attempted to make it easier to get information, they rely on extensive model training and are frequently limited to “how to” questions. They get contextual information as well as factual data (PDFs, visual images, RFID tags information). What took months of training takes just days now.

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