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

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. Oracle Analytics Cloud. Oracle HCM Cloud. Oracle Data Cloud.

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Inteligence 97

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

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. Will AI Replace Human Business Analysts?

Business Analytics 40

Business Analytics Analytics UI/UX Development Team Review 40

Cloudera

FEBRUARY 18, 2021

As the insurance industry adapts to changing consumer behaviors and expectations, insurers will see automation in claims processing gain traction, using Machine Learning (ML) and Artificial Intelligence (AI) to adjudicate more decisions than ever. . Trend #3: Cloud Considerations.

Insurance 105

Insurance Trends Data Artificial Inteligence 105

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 68

Course Training Artificial Inteligence Software Review 68

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

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 97

Azure Authentication Artificial Inteligence Generative AI 97

Datavail

JUNE 8, 2023

The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. He outlined several key criteria to consider such as scalability, performance, cost, reliability, security, and support.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

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

OCTOBER 4, 2023

On top of these core critical capabilities, we also need the following: Petabyte and larger scalability — particularly valuable in predictive analytics use cases where high granularity and deep histories are essential to training AI models to greater precision.

Analytics 89

Analytics Machine Learning Artificial Inteligence Telecommunications 89

Altexsoft

FEBRUARY 3, 2020

We prepared a list of statistical facts just to show you the sheer magnitude of the data science industry: The projected worldwide revenue for big data and business analytics solutions in 2019 is $189 billion. Seamless integration with external machine learning systems. Extensive data interpretation models.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Existek

NOVEMBER 21, 2023

So, what is AI analytics, and why is it so popular these days? It refers to the use of artificial intelligence technologies to analyze and interpret complex data sets. Traditional analytics involve extracting insights from data using statistical methods and predefined rules.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

Altexsoft

JANUARY 14, 2021

Apart from the lack of scalability and flexibility offered by modern databases, the traditional ones are costly to implement and maintain. Modern cloud solutions, on the other hand, cover the needs of high performance, scalability, and advanced data management and analytics. Scalability opportunities. Scalability.

Backup 115

Backup Azure Software Review Architecture 115

CTOvision

OCTOBER 18, 2013

H2O is the open source math & machine learning platform for speed and scale. Data Scientists can take both simple & sophisticated models to production from the same interactive platform used for modeling, within R and JSON. Pentaho is building the future of business analytics. and New York.

Technical Review 99

Technical Review Analytics Technology Big Data 99

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

Cloudera

DECEMBER 21, 2020

A Cloudera Machine Learning Workspace exists . ML workspaces are fully containerized with Kubernetes, enabling easy, self-service set up of new projects with access to granular data and a scalable ML framework that gives him access to both CPU and GPUs. The SDX layer is configured and the users have appropriate access.

Data 97

Data Virtualization Banking Data Engineering 97

Newgen Software

JANUARY 2, 2024

As a next step, BPM platform introduces the heavy artillery in the form of digital tools ranging from business analytics software to web forms, to data mining to collaborative work tools that will facilitate successful completion of business processes.

Software Review 52

Software Review Systems Review Technical Review Artificial Inteligence 52

Cloudera

NOVEMBER 2, 2020

These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning. You can take this knowledge and build a RTDW that is specialized for Time Series and Event Analytics. Flexible, scalable query engine for EDW.

Data 97

Data Analytics Storage Big Data 97

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Only with such a holistic approach to data, you can build a prosperous business.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

SEPTEMBER 19, 2019

Magic Quadrant for Analytics and BI Platforms as of January 2019. Sisense: “no PhD required to discover meaningful business insights”. Sisense is a business analytics platform that supports all BI operations, from data modeling and exploration to dashboard building. Picture source: Stellar. Data sourcing.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Codegiant

NOVEMBER 9, 2020

Features Scalable API testing tool. Pros Critical features like Artificial Intelligence help in tasks such as language detection. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc.

Software Review 64

Software Review Weak Development Team Tools Development 64

Sunflower Lab

APRIL 2, 2024

Use Case: Demand Forecasting for Manufacturing Business Scenario: A manufacturing company needs to predict demand for its products to optimize production and inventory management. Power BI Solution: Using machine learning algorithms, Power BI analyzes historical sales data, market trends, and seasonal variations to forecast demand accurately.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Codegiant

NOVEMBER 9, 2020

Features Scalable API testing tool. Pros Critical features like Artificial Intelligence help in tasks such as language detection. Offers services like mobile, storage, data management, messaging, media services, CDN, caching, virtual network, business analytics, migrate apps & infrastructure, etc.

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

LaunchDarkly

JANUARY 17, 2019

“We’re very laser-focused on making the developer extremely successful and happy and comfortable, comfortable that we’re reliable, comfortable that we’re scalable, comfortable that we can handle their load. You could pass us attributes from business analytics. ’ That’s very liberating to the developer. INTERVIEW].

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence.

Trends 144

Trends Technical Review Technology Software Review 144

O'Reilly Media - Ideas

JANUARY 15, 2019

Companies have spent the last few years building processes and infrastructure to unlock disparate data sources in order to improve analytics on their most mission-critical analysis, whether it is business analytics, recommenders and personalization, forecasting, or anomaly detection and monitoring.

Trends 107

Trends UI/UX Machine Learning Artificial Inteligence 107

Cloudera

FEBRUARY 24, 2021

One shift the financial services industry will have to come to terms with is the fact that 2020 may have made risk management models of the past outdated or obsolete , particularly credit risk models. Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future.

Trends 61

Trends Artificial Inteligence Industry Artificial Intelligence 61

CIO

APRIL 8, 2025

Key recommendations include investing in AI-powered cleansing tools and adopting federated governance models that empower domains while ensuring enterprise alignment. We also examine how centralized, hybrid and decentralized data architectures support scalable, trustworthy ecosystems. Create cross-functional data councils.

Weak Development Team 153

Weak Development Team Technical Review Technical Advisors Systems Review 153

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 configuration balances scalability and performance , ensuring optimal use of resources during both listing and deletion phases.

Storage 130

Storage Travel Azure Cloud 130