CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Clinical DSS.

Data mining 130

Data mining Data-driven Statistics OLAP 130

CIO Business Intelligence

JULY 28, 2023

JLL, for instance, provides facilities management services for many cloud and data center operators. More recently, the company launched Carbon Pathfinder, an AI-driven sustainability software planning tool that is sold as SaaS or a suite with professional services. “AI Of course, JLL has only just begun to use generative AI and LLMs.

Structured Data 84

Structured Data Software Data-driven Modeling 84

IBM Big Data Hub

JUNE 26, 2023

The auto parts manufacturers caught in it are facing the problem of how to survive and grow against the increasingly fierce competition. The Intelligent Manufacturing Department of Yanfeng Auto hopes to work with IBM CSM team to explore the way of building up its intelligent inventory platform with predictive capabilities.

Software 62

Software Manufacturing Optimization Digital Transformation 62

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

O'Reilly on Data

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. The second-most significant barrier was the availability of quality data. Relatively few respondents are using version control for data and models. Respondents.

Enterprise 353

Enterprise Modeling Risk Manufacturing 353

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it.

IT 76

IT Data Governance Modeling Cost-Benefit 76

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data. A Long, Long Time Ago.

Insurance 96

Insurance Risk Unstructured Data Data-driven 96

CIO Business Intelligence

APRIL 14, 2022

With data-driven decisions and digital services at the center of most businesses these days, enterprises can never get enough data to fuel their operations. But not every bit of data that could benefit a business can be readily produced, cleansed, and analyzed by internal means. Who needs data as a service (DaaS)?

Enterprise 129

Enterprise Marketing Measurement Reporting 129

IBM Big Data Hub

JULY 19, 2023

Yet, it is burdened by long R&D cycles and labor-intensive clinical, manufacturing and compliancy regimens. This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails. Conversational Knowledge: Reviews, knowledge base, product descriptions and more.

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

OCTOBER 17, 2023

The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market. Cloudera’s perspective: Cloudera saw the increasing volumes of data our customers were moving via streams early on. Also, why solve for connectivity and data distribution again if it’s already solved for? What about data lock-in?

Data-driven 77

Data-driven Enterprise IoT Data Warehouse 77

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 258

Machine Learning Software Metadata Testing 258

AWS Big Data

MARCH 25, 2024

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Jet Global

FEBRUARY 14, 2022

Greater scrutiny of multinational organizations’ tax arrangements following the pandemic will be driven by governments’ ambition to gather optimum tax dollars to pay for higher levels of borrowing. International tax regimes are also undergoing significant change, driven by the need for more transparency and accountability.

Finance 52

Finance Recreation/Entertainment Software Reporting 52