CIO Business Intelligence

JUNE 15, 2023

“We use the peer-to-peer computing of CPUs, GPUs, and NPUs to enable the multi-active data center to run efficiently, just like a computer,” Mr. Cao told the conference. The distributed architecture now outperforms the original core host platform, notably with lower latency. Mr. Cao noted the specific problem of unstructured data. “A

Unstructured Data 98

Unstructured Data Finance Data Processing Data Architecture 98

CIO Business Intelligence

AUGUST 1, 2023

Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry. 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 98

Digital Transformation Unstructured Data Strategy Data Science 98

CIO Business Intelligence

OCTOBER 2, 2024

As the world moves toward a cashless economy that includes electronic payments for most products and services, financial institutions must also deal with new risk exposures presented by mobile wallets, person-to-person (P2P) payment services, and a host of emerging digital payment systems.

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

CIO Business Intelligence

FEBRUARY 10, 2023

Deploying new data types for machine learning Mai-Lan Tomsen-Bukovec, vice president of foundational data services at AWS, sees the cloud giant’s enterprise customers deploying more unstructured data, as well as wider varieties of data sets, to inform the accuracy and training of ML models of late.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

CIO Business Intelligence

OCTOBER 11, 2023

Read about unstructured data storage solutions and find out how they can enable AI technology. The Alliance is driving a standards-based, open, interoperable and secure software-defined infrastructure to host protection, automation and control solutions for power system substations.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

CIO Business Intelligence

SEPTEMBER 30, 2024

Like many organizations, Indeed has been using AI — and more specifically, conventional machine learning models — for more than a decade to bring improvements to a host of processes. Asgharnia and his team built the tool and host it in-house to ensure a high level of data privacy and security.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141

Sisense

OCTOBER 6, 2020

These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing. Why is quantitative data important? Despite its many uses, quantitative data presents two main challenges for a data-driven organization.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

CIO Business Intelligence

SEPTEMBER 13, 2023

The volume of highly sensitive data now hosted in the cloud is on an upward trajectory. 64% percent of EMEA organisations have actually increased their volume of sensitive data, and 63% have already stored confidential and secret data in the public cloud, according to the IDC report previously cited.

IT 98

IT Unstructured Data Uncertainty Strategy 98

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Open AWS Glue Studio. Choose ETL Jobs.

Data Lake 116

Data Lake Metadata Snapshot Recreation/Entertainment 116

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

AWS Big Data

MARCH 10, 2023

Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats. However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes.

Data Lake 116

Data Lake Sales Data Warehouse Snapshot 116

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need.

Data Lake 87

Data Lake Visualization Dashboards Insurance 87

CIO Business Intelligence

MARCH 20, 2024

Moreover, new sources of ever expanding data produced by generative AI and the unfettered growth of unstructured data introduce even more challenges. Here we can look at monday.com, Asana, Trello, Hive, Zoho, and a host of others. There’s the complexity of security in the organization. Password strategies.

IoT 64

IoT Unstructured Data Insurance Data Processing 64

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Ontotext

JULY 12, 2024

This enables our customers to work with a rich, user-friendly toolset to manage a graph composed of billions of edges hosted in data centers around the world. The blend of our technologies provides the perfect environment for content and data management applications in many knowledge-intensive enterprises.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

Domino Data Lab

JULY 2, 2019

Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke. Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?”

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

AWS Big Data

JULY 20, 2023

To overcome these issues, Orca decided to build a data lake. A data lake is a centralized data repository that enables organizations to store and manage large volumes of structured and unstructured data, eliminating data silos and facilitating advanced analytics and ML on the entire data.

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

CIO Business Intelligence

JULY 14, 2023

A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data. Fine-tuning applies to both hosted cloud LLMs and open source LLM models you run yourself, so this level of ‘shaping’ doesn’t commit you to one approach.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

FineReport

APRIL 26, 2023

Unlike traditional databases, processing large data volumes can be quite challenging. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CIO Business Intelligence

FEBRUARY 4, 2025

It would be unlikely that the US would take any action on using the open-source R1 or V3 models as long as they were hosted on US-based servers. So far, Americas issues with Chinese technology have mainly been based around storing American-based data on overseas servers, Park explained. So, how to deploy DeepSeeks models?

Enterprise 101

Enterprise Data Processing Consulting Risk 101

CIO Business Intelligence

OCTOBER 23, 2024

Maximizing the potential of data According to Deloitte’s Q3 state of generative AI report, 75% of organizations have increased spending on data lifecycle management due to gen AI. When I came into the company last November, we went through a data modernization with AWS,” Bostrom says. “We

Cost-Benefit 136

Cost-Benefit Enterprise Testing Consulting 136

CIO Business Intelligence

FEBRUARY 18, 2025

Assuming the data platform roadmap aligns with required technical capabilities, this may help address downstream issues related to organic competencies versus bigger investments in acquiring competencies. The same would be true for a host of other similar cloud data platforms (Databricks, Azure Data Factory, AWS Redshift).

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90