CIO Business Intelligence

DECEMBER 14, 2023

The Einstein Copilot Search capability can also be paired with retrieval augmented generation (RAG) tools — which Salesforce supplies — in order to enable Einstein Copilot to answer customer questions.

Unstructured Data 112

Unstructured Data Structured Data Enterprise Business Intelligence 112

DataKitchen

FEBRUARY 27, 2024

The Role of Data Journeys in RAG The underlying data must be meticulously managed throughout its journey for RAG to function optimally. This is where DataOps comes into play, offering a framework for managing Data Journeys with precision and agility.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

Analytics Vidhya

MAY 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Last time I wrote about hyperparameter-tuning using Bayesian Optimization: bayes_opt. The post Tuning the Hyperparameters and Layers of Neural Network Deep Learning appeared first on Analytics Vidhya.

Deep Learning 390

Deep Learning Data Science Optimization Publishing 390

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 142

Unstructured Data Optimization Data-driven Strategy 142

Analytics Vidhya

NOVEMBER 19, 2021

This is article was published as a part of the Data Science Blogathon. In the model-building phase of any supervised machine learning project, we train a model with the aim to learn the optimal values for all the weights and biases from labeled examples. If we use the same labeled examples for testing our model […].

Machine Learning 352

Machine Learning Testing Data Science Optimization 352

IBM Big Data Hub

MARCH 29, 2024

But what if you could optimize even further? It may be the solution that finally breaks through dysfunctional silos of business units, applications, data and people, and moves beyond the constraints that have cost companies dearly. Undoubtedly.

Management 91

Management Structured Data Modeling Data Governance 91

IBM Big Data Hub

JULY 26, 2023

Discover the current and emerging use cases for AI in waste management, optimization, energy reduction and ESG reporting. Inventory optimization is important to ensure you have enough stock while also meeting customer demand. Compute optimization: Data centers consume a huge amount of electricity.By

Optimization 80

Optimization Manufacturing Cost-Benefit Risk 80

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Semi-structured data falls between the two.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

Ontotext

JULY 24, 2023

Training LLM requires building robust data pipelines that are both highly optimized and flexible enough to easily include new sources of both public and proprietary data. Start with Structured Data The ideal way to experiment with LLM functionality is to focus on structured data at the start.

Modeling 98

Modeling Management Structured Data Data Architecture 98

Smart Data Collective

SEPTEMBER 16, 2022

Cost optimization. Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second. Among them are distinguished: Structured data. Unstructured data. Benefits of Big Data: Customer focus. Data security.

Finance 116

Finance Unstructured Data Cost-Benefit Big Data 116

CIO Business Intelligence

NOVEMBER 20, 2023

Personalizing medicine: Generative AI can rapidly synthesize patient data from numerous sources, such as genetic data, clinical information, and medical literature, analyze it, and produce personalized treatment plans. Enabling data and AI to save lives The use cases for AI and generative AI in life sciences are life changing.

Cost-Benefit 119

Cost-Benefit Unstructured Data Modeling Structured Data 119

CIO Business Intelligence

OCTOBER 19, 2023

user-generated data across social platforms exploded in the form of audio, video, images, and others. Unstructured data is challenging because it lacks a predefined format and doesn’t have a consistent schema or searchable attributes. Like structured data sets that are stored in the database, these don’t have searchable attributes.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

AWS Big Data

NOVEMBER 22, 2023

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings.

Statistics 99

Statistics Data Lake Optimization Data-driven 99

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 116

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 116

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. Structure/Operationalize. Connect/Activate.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. have encouraged the creation of unstructured data.

Unstructured Data 97

Unstructured Data IoT Metadata Modeling 97

Smart Data Collective

SEPTEMBER 23, 2020

We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data. Many people are confused about these two, but the only similarity between them is the high-level principle of data storing.

Data Lake 106

Data Lake Data Warehouse Unstructured Data Big Data 106

Octopai

MARCH 22, 2023

This can be more cost-effective than traditional data warehousing solutions that require a significant upfront investment. Support for multiple data structures. Unlike traditional data warehouse platforms, snowflake supports both structured and semi-structured data.

Cost-Benefit 78

Cost-Benefit Data Warehouse Unstructured Data Optimization 78

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

NOVEMBER 14, 2022

They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. These DSS include systems that use accounting and financial models, representational models, and optimization models. Optimization analysis models.

Data mining 136

Data mining Data-driven Statistics OLAP 136

IBM Big Data Hub

APRIL 9, 2024

” Watsonx.data lets organizations optimize workloads for different uses. Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications.

Management 87

Management IT Machine Learning Metrics 87

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

erwin

SEPTEMBER 10, 2020

In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time. This information is critical to regulatory compliance, change management and data governance not to mention delivering an optimal customer experience.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Events or time-series data served by our real-time events or time-series data store solutions.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

AWS Big Data

AUGUST 2, 2023

The workflow includes the following steps: GitHub webhook events stream data to both Amazon S3 and OpenSearch Service, facilitating real-time data analysis. A Lambda function connects to an API Gateway REST API, processing and structuring the received payloads. Want to know more?

Visualization 79

Visualization Insurance Cost-Benefit Finance 79

Cloudera

SEPTEMBER 29, 2021

However, with the COVID-19 pandemic placing extreme pressure on governments to deliver accessible and efficient services while ensuring optimal user experience, going digital is now a necessity and not a luxury. This data allows the government to have a deeper understanding of the initiatives that it launches and their impact. .

Digital Transformation 78

Digital Transformation Data Governance Data-driven Uncertainty 78

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

IBM Big Data Hub

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency.

Unstructured Data 92

Unstructured Data Data-driven ROI Machine Learning 92

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. Why IBM Consulting for generative AI on AWS?

Consulting 65

Consulting Machine Learning Manufacturing Optimization 65

CDW Research Hub

APRIL 20, 2020

Snowflake, a data warehouse built specifically for the cloud, is one popular option. Snowflake helps eliminate many of the common issues data professionals face because it supports structured and semi-structured data, scales massive concurrency without limit, and boasts secure, live data sharing.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

CIO Business Intelligence

OCTOBER 25, 2023

Once shared, this data can be fed into the data lakes used to train large language models (LLMs) and can be discovered by other users. For example, a backend developer who queries ChatGPT, “Can you take this [my source code for a new product] and optimize it?”

Enterprise 132

Enterprise Risk Manufacturing Finance 132

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Complete the implementation tasks such as data ingestion and performance testing.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

IBM Big Data Hub

JULY 5, 2022

Store and query more than just traditional structured data with multi-model capabilities. Seamlessly integrate Db2 with your existing data lake to easily query datasets residing in open data formats like Parquet, Avro and more. To learn more, visit IBM Db2 and our IBM data management page. .

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

Cloudera

OCTOBER 28, 2021

In reality, we are way ahead in the use of data (possibly hundreds of years ahead!), but behind in our use of tools and technology to manage the data optimally to get the most value out of it. In the last few years, Commercial Insurers have been making great strides in expanding the use of their data.

Insurance 94

Insurance Risk Unstructured Data Data-driven 94

CIO Business Intelligence

NOVEMBER 16, 2023

Then the question and the relevant information is sent to the LLM and embedded into an optimized prompt that might also specify the preferred format of the answer and tone of voice the LLM should use. Similarly, it’s optimized to use different models on the back end, because that’s how clients want it. “We

Modeling 137

Modeling Enterprise Marketing Sales 137