Analytics Vidhya

APRIL 17, 2023

The AI can connect and collaborate with multiple artificial intelligence models, such as ChatGPT and t5-base, to deliver a final result. With a demo hosted on the popular AI platform Huggingface, users can now explore and test JARVIS’s extraordinary capabilities.

Data Processing 246

Data Processing Testing Modeling Analytics 246

AWS Big Data

OCTOBER 25, 2023

As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. Operational analytics is a popular use case with Amazon OpenSearch Service. Choose Create pipeline.

Analytics 121

Analytics Data Processing Optimization Metrics 121

Analytics Vidhya

FEBRUARY 4, 2022

Introduction In this article, we are going to solve the Loan Approval Prediction Hackathon hosted by Analytics Vidhya. classification refers to a predictive modeling problem where a class label is predicted for a given example of […].

Machine Learning 279

Machine Learning Predictive Modeling Data Processing Modeling 279

Analytics Vidhya

MAY 29, 2022

Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. The post Machine Learning Approach to Forecast Cars’ Demand appeared first on Analytics Vidhya. In this article, I will […].

Machine Learning 381

Machine Learning Forecasting Data Processing Data Science 381

Domino Data Lab

FEBRUARY 4, 2021

Containers provided a way for analytical professionals to isolate environments from each other, allowing analysts to experiment and freeze golden-state environments. Getting models into production is a critical stage in the MLOps life cycle. What role does container technology play in getting ML/AI models into production?

Modeling 130

Modeling Data Science Data Processing Software 130

AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 91

IoT Analytics Dashboards Data-driven 91

Analytics Vidhya

MAY 15, 2023

Google I/O is a highly anticipated annual developer conference hosted by Google, where the company showcases its latest technologies and products. appeared first on Analytics Vidhya. This year’s event, held in May 2023, did not disappoint. Some of […] The post What All Happened in Google I/O 2023?

Data Processing 269

Data Processing Technology Analytics IT 269

IBM Big Data Hub

AUGUST 23, 2023

When it comes to hosting applications on Amazon Web Services (AWS), one of the most important decisions you will need to make is which Amazon Elastic Compute Cloud (EC2) instance type to choose. Furthermore, you need to know how the applications each EC2 instance will host are designed to scale.

Data Processing 40

Data Processing Optimization Testing Modeling 40

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. This contributed to the need for more analytics by our users.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

Jet Global

DECEMBER 12, 2022

Adopting a new SaaS model, Jet Analytics Cloud is delivered via Microsoft Azure to provide a seamless and enhanced user experience. December 12, 2022— insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced the release of Jet Analytics Cloud. Raleigh, N.C.,

Analytics 52

Analytics Finance Data Processing Consulting 52

AWS Big Data

JULY 14, 2023

This post provides a simple and quick way of building an extendable analytical system using Amazon QuickSight to better manage lines of business (LOBs) with a detailed list of business capabilities and APIs, deep analytical insights, and desired graphical visualizations from different dimensions.

Modeling 71

Modeling Visualization Reporting Measurement 71

Cloudera

OCTOBER 30, 2023

The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications. Cloudera FinOps Capabilities CDP is a cloud-native platform helping companies accelerate cloud adoption to run their data and analytics workloads.

Analytics 80

Analytics Cost-Benefit ROI Business Objectives 80

IBM Big Data Hub

OCTOBER 3, 2023

And this year, ESPN Fantasy Football is using AI models built with watsonx to provide 11 million fantasy managers with a data-rich, AI-infused experience that transcends traditional statistics. These applications are all hosted on the IBM Cloud to ensure uninterrupted availability. But numbers only tell half the story.

Modeling 91

Modeling Statistics Consulting Unstructured Data 91

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. The stories of organizations that have adopted streaming analytics speak for themselves.

Analytics 102

Analytics Manufacturing Insurance Data Processing 102

Smart Data Collective

MARCH 30, 2022

Analytics technology is taking the ecommerce industry by storm. Ecommerce companies are expected to spend over $24 billion on analytics in 2025. While there is no debating the huge benefits that analytics technology brings to the ecommerce sector , many experts are pondering what those actual benefits are.

Analytics 114

Analytics Cost-Benefit Testing Dashboards 114

AWS Big Data

NOVEMBER 17, 2023

Amazon Redshift is a cloud data warehousing service that provides high-performance analytical processing based on a massively parallel processing (MPP) architecture. For more information, refer SQL models. Building and maintaining data pipelines is a common challenge for all enterprises.

Snapshot 91

Snapshot Data Processing Testing Data Warehouse 91

Smart Data Collective

JUNE 15, 2021

However, it is important to make sure that you understand the potential role of AI and what business model to build around it. However, even the most brilliant idea built around AI technology can fail without a proper business model. Without a good business model, you won’t understand customer needs and how to build your startup.

Modeling 91

Modeling Advertising Cost-Benefit Machine Learning 91

Smart Data Collective

NOVEMBER 29, 2021

Data analytics has become a very important element of success for modern businesses. Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models.

Data Analytics 110

Data Analytics Analytics Big Data B2B 110

AWS Big Data

JANUARY 17, 2024

it’s now effortless to integrate with AI/ML models to power semantic search and other use cases. To use neural search, you must set up an ML model. In this post, we demonstrate how to configure AI/ML connectors to external models through the OpenSearch Service console. Starting with version 2.9

Dashboards 97

Dashboards Data Processing Modeling Machine Learning 97

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. In this model, the Lambda function is invoked for each incoming event. The ingestion approach is not in scope of this post. Choose Run. You’re now ready to query the tables using Athena.

Analytics 94

Analytics IoT Metadata Internet of Things 94

CIO Business Intelligence

NOVEMBER 16, 2022

Brown recently spoke with CIO Leadership Live host Maryfran Johnson about advancing product features via sensor data, accelerating digital twin strategies, reinventing supply chain dynamics and more. That’s how data governance is critical to our organization and analytics are a way to unlock value.

IT 133

IT Modeling Digital Transformation Data Governance 133

AWS Big Data

JUNE 12, 2023

Our founders previously led contact center research and development for a global contact center technology provider, and we founded Joulica because we saw that the shift to the cloud and growing demand for data and analytics would transform the customer service industry.

Analytics 52

Analytics Visualization Dashboards KPI 52

CIO Business Intelligence

SEPTEMBER 26, 2023

This demand in AI and generative AI workloads, according to co-founder CTO Larry Ellison , will sustain itself as enterprises continue feeding data to AI engines or models to keep them up-to-date or relevant, which in turn will create demand for Oracle’s offerings for model training, inferencing, and grounding.

Strategy 144

Strategy Data Processing Data-driven Machine Learning 144

Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Gartner Data & Analytics Summit 2022: Keynote Highlights. This is data that’s artificially produced to mimic and model real events: It retains the structure of the original data but is not the same as real data. What a week!

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

CIO Business Intelligence

DECEMBER 6, 2023

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. We’re planning to have that fully hosted with us. As for No.

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

Cloudera

MARCH 26, 2024

How do you adapt a foundational model to your specific needs? Cloudera has had an in-house expertise in Machine Learning and has been helping customers deliver machine learning applications, build ML models, and deliver ML ops for the past decade. Companies must act now in order to stay in the AI Race. said Dr.

Cost-Benefit 84

Cost-Benefit Machine Learning Enterprise Modeling 84

CIO Business Intelligence

OCTOBER 16, 2023

“The cloud makes it easy to build and grow solutions, but costs can quickly spiral out of control,” says Jay Upchurch, Executive Vice President and CIO with leading AI and analytics software company, SAS. With more efficient analytics, organizations can achieve better results in less time, gaining better value from their cloud investments.

Optimization 140

Optimization Enterprise Finance Data Processing 140

Laminar Security

DECEMBER 1, 2023

Some of the common types are: Agent-based: Also referred to as connector-based, these solutions require installing agents or software on each cloud resource or device that hosts or has access to sensitive data. A good DSPM solution should provide a simple, transparent and fair pricing model that suits your budget and needs.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

Smart Data Collective

AUGUST 30, 2022

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. The model enables easy transfer of cloud services between different geographic regions, either onshore or offshore. Big data analytics. Multi-cloud computing. Before you go.

Technology 133

Technology Enterprise Cost-Benefit Testing 133

CIO Business Intelligence

JANUARY 31, 2024

But AI users must also get over the urge to use the biggest, baddest AI models to solve every problem if they truly want to fight climate change. Is it necessary for a model that can also write a sonnet to write code for us?” Our approach has been to create specific models for specific use cases rather than one general-purpose model.”

Cost-Benefit 134

Cost-Benefit Modeling Testing IoT 134

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

CIO Business Intelligence

APRIL 6, 2022

Simply put, the solution is alerting you to look for the compromised host, but you’ve already been breached. XDR expands visibility into security alerts and raw data across all security telemetry then applies analytics, automation, and machine learning to detect, analyze, hunt, and stop threats and breaches. Automated response.

Data Processing 98

Data Processing Machine Learning Risk Dashboards 98

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. Supported AI models and services The SQL AI Assistant is not bundled with a specific LLM; instead it supports various LLMs and hosting services.

Data Warehouse 73

Data Warehouse Data Processing Optimization Modeling 73

DataRobot

FEBRUARY 17, 2021

As host of the DataRobot More Intelligent Tomorrow podcast , I’m constantly impressed and delighted by the fascinating people that I have a chance to talk to. Army, where she reports to the Undersecretary of the Army on mission-critical data analytics. And if we can put better models in our leaders’ hands, nothing can stop us.”.

Data Analytics 52

Data Analytics Analytics Experimentation Data-driven 52

CIO Business Intelligence

FEBRUARY 6, 2023

Other key resources that benefit the customer experience include BI and analytics for anything from actuarial pricing to risk selection and customer intelligence, the CIO says. So we had to kind of rethink and reimagine our whole model of engaging with policyholders or potential policyholders.” Acrisure, of Grand Rapids, Mich.,

Insurance 132

Insurance IT Digital Transformation Machine Learning 132

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Analytics 67

Analytics Testing Metrics Management 67

CIO Business Intelligence

NOVEMBER 5, 2023

Reporting and analytics. Cloud hosting options. As anywhere, anytime is the new way of working, look for a tool that enables applications to be hosted on-premises, in the cloud, or in a hybrid environment. Consider factors such as scalability, integration capabilities, and the complexity of applications you plan to build.

Digital Transformation 143

Digital Transformation Cost-Benefit Data Processing Software 143