AWS Machine Learning - AI

MAY 1, 2025

Refer to Supported models and Regions for fine-tuning and continued pre-training for updates on Regional availability and quotas. The required training dataset (and optional validation dataset) prepared and stored in Amazon Simple Storage Service (Amazon S3). Karel Mundnich is a Sr. Applied Scientist in AWS Agentic AI. He holds a Ph.D.

Generative AI 79

Generative AI AWS Artificial Inteligence Training 79

CIO

JANUARY 20, 2023

Business intelligence vs. business analytics Business analytics and BI serve similar purposes and are often used as interchangeable terms, but BI should be considered a subset of business analytics. Business analytics, on the other hand, is predictive (what’s going to happen in the future?)

Business Intelligence 216

Business Intelligence Data Business Analytics Analytics 216

AWS Machine Learning - AI

APRIL 9, 2025

Amazon Q Business is a fully managed, generative AI-powered assistant that lets you build interactive chat applications using your enterprise data, generating answers based on your data or large language model (LLM) knowledge. These logs are then queryable using Amazon Athena.

Weak Development Team 89

Weak Development Team Metrics AWS Systems Review 89

AWS Machine Learning - AI

SEPTEMBER 18, 2024

Personalization has become a cornerstone of delivering tangible benefits to businesses and their customers. Generative AI and large language models (LLMs) offer new possibilities, although some businesses might hesitate due to concerns about consistency and adherence to company guidelines.

Generative AI 127

Generative AI Artificial Inteligence Fractional CTO Guidelines 127

The Agile Monkey

MARCH 14, 2023

Event-driven machine learning will enable a new generation of businesses that will be able to make incredibly thoughtful decisions faster than ever, but is your data ready to take advantage of it? Why making the extra investment on development time and data storage? This constant stream of events provides extra benefits.

Artificial Inteligence 98

Artificial Inteligence System Software Machine Learning 98

AWS Machine Learning - AI

JULY 10, 2024

Frontier large language models (LLMs) like Anthropic Claude on Amazon Bedrock are trained on vast amounts of data, allowing Anthropic Claude to understand and generate human-like text. With Amazon Bedrock custom models, you can customize FMs securely with your data.

Artificial Inteligence 131

Artificial Inteligence Airlines Training Generative AI 131

Dell EMC

MAY 28, 2020

About 20 years ago, I started my journey into data warehousing and business analytics. Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop.

Big Data 95

Big Data Data Artificial Inteligence Artificial Intelligence 95

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

Datavail

APRIL 6, 2021

The term XaaS (“anything as a service”) is shorthand for the proliferation of cloud services in recent years—everything from databases and artificial intelligence to unified communications and disaster recovery is now available from your choice of cloud provider. compute, network, storage, etc.)

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Inteligence 97

AWS Machine Learning - AI

JULY 25, 2024

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. This enables the Amazon Q large language model (LLM) to provide accurate, well-written answers by drawing from the consolidated data and information.

Azure 117

Azure Authentication Artificial Inteligence Generative AI 117

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

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

Sunflower Lab

OCTOBER 9, 2023

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too. Future AI Trends in Industries The digital revolution is very dependent on AI.

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Capgemini

APRIL 3, 2024

Auditing ChatGPT – part II Grégoire Martinon, Aymen Mejri, Hadrien Strichard, Alex Marandon, Hao Li Jan 12, 2024 Facebook Linkedin A Survival Issue for LLMs in Europe Large Language Models (LLMs) have been one of the most dominant trends of 2023. How do you audit such models? Are LLMs dangerous?

ChatGPT 52

ChatGPT Artificial Inteligence Compliance Generative AI 52

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 Software Review Architecture 115

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

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

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 82

Data Analytics Government Technical Review 82

CIO

MARCH 27, 2023

Today, Reis and his team are early-stage partners with the business to ideate new digital strategies aimed at keeping the healthcare provider at the forefront of patient experience and care, safety, and innovation. “In Leveraging data, advanced analytics, and AI is top priority across the board.

Strategy 164

Strategy Survey Analytics Technical Advisors 164

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 97

Data Analytics Storage Big Data 97

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 74

Data Analytics Banking Machine Learning 74

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 72

Retail Agile Analytics Storage 72

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

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

Codegiant

NOVEMBER 9, 2020

File storage services, tracking of issues, Wikis, integrations, and add-ons. Cons Lower storage limit. Pros Critical features like Artificial Intelligence help in tasks such as language detection. Multiple programming languages are supported. Computing power, database storage, content delivery.

Software Review 64

Software Review Weak Development Team Tools Development 64

Sunflower Lab

JUNE 26, 2023

Some features of the application are as follows: SaaS platform that automated a secured process and storage of electronic medical records (EMR). Through proper business analytics, the overall productivity is tracked, which provides a good idea of the patient satisfaction ratio and the revenue that can be expected.

Mobile 52

Mobile Development VR IoT 52

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

Sunflower Lab

JULY 12, 2023

Some features of the application are as follows: SaaS platform that automated a secured process and storage of electronic medical records (EMR). Through proper business analytics, the overall productivity is tracked, which provides a good idea of the patient satisfaction ratio and the revenue that can be expected.

Mobile 52

Mobile Development VR IoT 52

Codegiant

NOVEMBER 9, 2020

File storage services, tracking of issues, Wikis, integrations, and add-ons. Cons Lower storage limit. Pros Critical features like Artificial Intelligence help in tasks such as language detection. Multiple programming languages are supported. Computing power, database storage, content delivery.

Software Review 52

Software Review Weak Development Team Tools Development 52

O'Reilly Media - Ideas

JANUARY 14, 2025

This year, one thread that we see across all of our platform is the importance of artificial intelligence. Artificial Intelligence It will surprise absolutely nobody that AI was the most active category in the past year. For the past two years, large models have dominated the news. Is that noise or signal?

Trends 131

Trends Technology Security Artificial Inteligence 131

Xebia

JANUARY 24, 2025

Databricks is a powerful Data + AI platform that enables companies to efficiently build data pipelines, perform large-scale analytics, and deploy machine learning models. This blog will be part of a series that focuses on cost optimization in the Databricks ecosystem , starting with Delta Lake storage.

Storage 130

Storage Travel Azure Cloud 130

AWS Machine Learning - AI

DECEMBER 4, 2024

The prompt-response pairs are taken as is from the invocation logs and the student model is fine-tuned. In the second option, you can upload your use-case specific prompts by directly uploading a JSONL file to Amazon Simple Storage Service (Amazon S3) containing your use-case specific prompts or labelled prompt-completion pairs.

Generative AI 117

Generative AI Artificial Inteligence AWS Training 117

CIO

APRIL 8, 2025

Data lake Raw storage for all types of structured and unstructured data. Exploratory analytics, raw and diverse data types. Bring together IT, business, analytics and compliance leaders to guide priorities, resolve disputes and make shared decisions about quality, access and usage. Create cross-functional data councils.

Weak Development Team 153

Weak Development Team Technical Review Technical Advisors Systems Review 153