Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 108

Data Machine Learning Artificial Inteligence Automotive 108

AWS Machine Learning - AI

AUGUST 2, 2024

For example, it misses the point that the growth in advertising was primarily driven by using machine learning models to improve relevancy of ads. He has extensive experience designing end-to-end machine learning and business analytics solutions in finance, operations, marketing, healthcare, supply chain management, and IoT.

Artificial Inteligence 113

Artificial Inteligence Engineering Generative AI Comparison 113

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

Sunflower Lab

JULY 5, 2023

.” – Saul Berman In this fast-paced digital world, more and more businesses are turning towards Intelligent Process Automation to complete different business operations. This has become true with the addition of Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) in businesses.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

Perficient

FEBRUARY 22, 2024

Besides data-intensive activities such as data storage management and data transformation, a robust data fabric requires a data virtualization layer as a sole interfacing logical layer that integrates all enterprise data across various source applications.

Virtualization 52

Virtualization Enterprise Data Analytics 52

AWS Machine Learning - AI

JUNE 26, 2024

The multi-modal agent is implemented using Agents for Amazon Bedrock and coordinates the different actions and knowledge bases based on prompts from business users through the AWS Management Console , although it can also be invoked through the AWS API. In our previous post , we deployed a persistent storage solution using Amazon DynamoDB.

Artificial Inteligence 110

Artificial Inteligence Research Knowledge Base Applications 110

AWS Machine Learning - AI

JULY 10, 2024

The required training dataset (and optional validation dataset) prepared and stored in Amazon Simple Storage Service (Amazon S3). He has extensive experience designing end-to-end machine learning and business analytics solutions in finance, operations, marketing, healthcare, supply chain management, and IoT.

Artificial Inteligence 119

Artificial Inteligence Airlines Training Generative AI 119

AWS Machine Learning - AI

JULY 25, 2024

To make this integration process as seamless as possible, Amazon Q Business offers multiple pre-built connectors to a wide range of data sources, including Atlassian Jira, Atlassian Confluence, Amazon Simple Storage Service (Amazon S3), Microsoft SharePoint, Salesforce, and many more. It provides the UI to view the items in a list.

Azure 90

Azure Artificial Inteligence Authentication Generative AI 90

Altexsoft

JANUARY 14, 2021

From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. For over 30 years, data warehouses have been a rich business-insights source. Is it still so? Scalability opportunities.

Backup 115

Backup Azure Architecture Software Review 115

Cloudera

OCTOBER 28, 2020

As these new sources cause data volumes to multiply, advanced analytics and machine learning are the only effective ways to analyze the vast quantities of information and help realize insight. No one at YES BANK was operating with a full 360-degree customer view. .

Data 73

Data Analytics Banking Machine Learning 73

Cloudera

JANUARY 14, 2021

The leading global mass merchant—that scored highest in rankings—recognized a need to improve cold storage temperature fluctuations on grocery products, understanding that both high and low-temperature variations could lead to excessive shrink (waste).

Retail 71

Retail Agile Analytics Storage 71

Cloudera

NOVEMBER 18, 2020

OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. Telkomsel has also been able to increase storage efficiency resulting in an 80% cost reduction compared to previous technology stacks.

Data 123

Data Analytics Banking Big Data 123

Cloudera

NOVEMBER 2, 2020

It has the key elements of fast ingest, fast storage, and immediate querying for BI purposes. These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning. Basic Architecture for Real-Time Data Warehousing.

Data 96

Data Analytics Storage Big Data 96

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. Data sources may be internal (databases, CRM, ERP, CMS, tools like Google Analytics or Excel) or external (order confirmation from suppliers, reviews from social media sites, public dataset repositories, etc.).

Business Intelligence 13

Business Intelligence Tools Data Azure 13

AWS Machine Learning - AI

SEPTEMBER 18, 2024

At the end of the process, we create a consolidated HTML file, which includes CSS and JavaScript, and store it in an Amazon Simple Storage Service (Amazon S3) bucket so that the assets are ready to be deployed. Prerequisites For this post, you need the following prerequisites: An AWS account.

Generative AI 104

Generative AI Artificial Inteligence Fractional CTO Guidelines 104

Confluent

JULY 3, 2019

In order to achieve our targets, we’ll use pre-built connectors available in Confluent Hub to source data from RSS and Twitter feeds, KSQL to apply the necessary transformations and analytics, Google’s Natural Language API for sentiment scoring, Google BigQuery for data storage, and Google Data Studio for visual analytics.

Analysis 21

Analysis Data Sport Windows 21

Codegiant

NOVEMBER 9, 2020

File storage services, tracking of issues, Wikis, integrations, and add-ons. Cons Lower storage limit. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc. Features Code access control.

Software Review 64

Software Review Weak Development Team Tools Development 64

Codegiant

NOVEMBER 9, 2020

File storage services, tracking of issues, Wikis, integrations, and add-ons. Cons Lower storage limit. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc. Features Code access control.

Software Review 52

Software Review Weak Development Team Tools Development 52

AWS Machine Learning - AI

AUGUST 2, 2024

Generative artificial intelligence (AI) is rapidly emerging as a transformative force, poised to disrupt and reshape businesses of all sizes and across industries. If you want your business to get started with generative AI, visit Generative AI on AWS and connect with a specialist, or quickly build a generative AI application in PartyRock.

Artificial Inteligence 100

Artificial Inteligence Generative AI Energy Knowledge Base 100

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 81

Data Analytics Government Technical Review 81