CIO Business Intelligence

APRIL 6, 2022

In this way, AIOps frees up decision makers to focus on larger business issues, as well as provides them with clear visual information. There are several factors that can reduce organizational efficiency: Infrastructure: Many IT environments have disparate systems in silos, making it difficult to accelerate the flow of data between systems.

Data mining 72

Data mining Deep Learning Insurance Digital Transformation 72

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

Smart Data Collective

NOVEMBER 1, 2020

With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? If you’ve ever come across deep learning, you might have heard about two methods to teach machines: supervised and unsupervised.

Machine Learning 134

Machine Learning Data mining Visualization Statistics 134

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. A foundational data analysis tool is Statistics , and everyone intuitively applies it daily.

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

bridgei2i

JUNE 23, 2021

It can identify trends and patterns in large data sets and spot abnormalities. It can consist of a dashboard to unify data and improve visualization so that the stakeholders can easily detect, prevent, and manage fraudulent activities. Customer Support. To Conclude : AI is the future of the Insurance Industry.

Insurance 52

Insurance Risk Deep Learning Data-driven 52

Domino Data Lab

JULY 28, 2021

At this stage, data scientists begin writing code for computation and model-building. To model anything highly technical and computationally — machine learning, deep learning, big data analytics, and natural-language processing, to name a few — code-based tools (such as R and Python) are usually preferred.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

CIO Business Intelligence

MAY 16, 2022

It all boils down to using data efficiently. By capturing visual and sensor data, combining it with other data points and analyzing it all for insights and trends ? at the edge rather than the data center ? Intel® Technologies Move Analytics Forward. Just starting out with analytics?

Recreation/Entertainment 79

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 79

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI technology in commerce—such as deploying deep learning models trained on inadequate or inappropriate data—lead to bad experiences that alienate both consumers and businesses.  The applications of AI in commerce are vast and varied.

B2B 64

B2B Interactive Optimization Forecasting 64

Jen Stirrup

MAY 5, 2020

Organizations need to recast storing their data. It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. You can use Visual Studio, which is a home for many developers.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes. Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

AWS Big Data

MAY 16, 2024

However, visualizing and analyzing large-scale geospatial data presents a formidable challenge due to the sheer volume and intricacy of information. This often overwhelms traditional visualization tools and methods. Figure 1 – Map built with CARTO Builder and the native support to visualize H3 indexes What are spatial indexes?

Data Warehouse 107

Data Warehouse Visualization Cost-Benefit Optimization 107

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Locke Data — Data science services.

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

MARCH 1, 2023

To facilitate the search, we create features representations (embeddings) for individual columns in the data lake using pre-trained Transformer models from the sentence-transformers library in Amazon SageMaker. We include a code tutorial for you to deploy the resources to run the solution on sample data or your own data.

Data Lake 84

Data Lake Deep Learning Modeling Interactive 84

Smarten

APRIL 19, 2024

Data Integration – Businesses can incorporate storage and data security services and infrastructure, thereby making it easier to avoid data silos and to achieve data integration and single-point-of-contact data analytics.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

CIO Business Intelligence

APRIL 1, 2022

Visualization for New Insights. Many insights can be gained from data when the underlying relationships can be seen and understood. However, resolving questions about relationships in large data sets is not always practical or sometimes not feasible at scale using queries. Intel® Technologies Move Analytics Forward.

Data-driven 78

Data-driven Deep Learning Risk Optimization 78

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Here’s how our tool makes it work.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

CIO Business Intelligence

APRIL 12, 2022

Cameras and thermal vision technology are used to visually inspect vehicles for wear and tear, and when integrated with IoT sensors, can more accurately identify parts that should be replaced. Intel® Technologies Move Analytics Forward. Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

IT 72

IT Cost-Benefit IoT Machine Learning 72

Smart Data Collective

OCTOBER 14, 2019

Ludwig is a tool that allows people to build data-based deep learning models to make predictions. It allows secure and interactive SQL analytics at the petabyte scale. Plus, if your company has only started working with data and cannot make a significant investment in data analytics yet, that’s no problem.

Data Science 67

Data Science Machine Learning Big Data Interactive 67

Domino Data Lab

OCTOBER 9, 2019

One area of that data catalog really caught my eye: Mooring Data from the Ocean Climate Stations, which are highly instrumented buoys at sea with several time-aligned signals. Some of the data readings had been modified, so to speak, and needed to be filtered if there were anomalous factors. How cool is that?!

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. A useful feature for exposing patterns in the data. Visual Profiling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. It can be used for something as visual as reducing traffic jams, to personalizing products and services, to improving the experience in multiplayer video games. This is something that you can learn more about in just about any technology blog.

Visualization 136

Visualization Cost-Benefit Big Data Prescriptive Analytics 136

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. The term “ML” is No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20