The Crazy Programmer

MARCH 15, 2021

It is a very versatile, platform independent and scalable language because of which it can be used across various platforms. It is frequently used in developing web applications, data science, machine learning, quality assurance, cyber security and devops. It is highly scalable and easy to learn.

Programming 317

Programming Open Source Trends Quality Assurance 317

CIO

NOVEMBER 1, 2024

Several co-location centers host the remainder of the firm’s workloads, and Marsh McLellan’s big data centers will go away once all the workloads are moved, Beswick says. Simultaneously, major decisions were made to unify the company’s data and analytics platform. The biggest challenge is data.

Generative AI 158

Generative AI Technical Advisors Insurance Weak Development Team 158

AWS Machine Learning - AI

APRIL 30, 2025

Booking.com , one of the worlds leading digital travel services, is using AWS to power emerging generative AI technology at scale, creating personalized customer experiences while achieving greater scalability and efficiency in its operations. One of the things we really like about AWSs approach to generative AI is choice.

Generative AI 59

Generative AI Artificial Inteligence AWS Machine Learning 59

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

TechCrunch

SEPTEMBER 27, 2021

Machine learning and other artificial intelligence applications add even more complexity. “With a step-function increase in folks working/studying from home and relying on cloud-based SaaS/PaaS applications, the deployment of scalable hardware infrastructure has accelerated,” Gajendra said in an email to TechCrunch.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

Perficient

NOVEMBER 17, 2024

This blog explores the key features of SAP Datasphere and Databricks, their complementary roles in modern data architectures, and the business value they deliver when integrated. SAP Datasphere is designed to simplify data landscapes by creating a business data fabric. What is SAP Datasphere?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

Artificial Inteligence 98

Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

AWS Machine Learning - AI

OCTOBER 16, 2024

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. Tom Lauwers is a machine learning engineer on the video personalization team for DPG Media.

Media 117

Media Video Artificial Inteligence Generative AI 117

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

Cloudera

JANUARY 20, 2021

Machine learning is now being used to solve many real-time problems. One big use case is with sensor data. Corporations now use this type of data to notify consumers and employees in real-time. In order to use this data, I built a very simple demo using the popular Flask framework for building web applications.

Artificial Inteligence 115

Artificial Inteligence Machine Learning Applications Data 115

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

DataRobot

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. These accelerators are specifically designed to help organizations accelerate from data to results.

Big Data 96

Big Data Conference Trends Data 96

Hacker Earth Developers Blog

JANUARY 22, 2020

Right from programming projects such as data mining and Machine Learning, Python is the most favored programming language. Some of the common job roles requiring Python as a skill are: Data scientists . Data analyst. Machine Learning engineer. Machine Learning developers. Tech leads.

Technical Review 216

Technical Review Machine Learning Artificial Inteligence Software Review 216

TechCrunch

JULY 12, 2022

The fundraising perhaps reflects the growing demand for platforms that enable flexible data storage and processing. One increasingly popular application is big data analytics, or the process of examining data to uncover patterns, correlations and trends (e.g., customer preferences).

Storage 206

Storage Big Data Analytics Survey 206

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? scalability.

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

CIO

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CIO

OCTOBER 13, 2023

According to the survey, 28% of respondents said they have hired data scientists to support generative AI, while 30% said they have plans to hire candidates. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Company 215

Company Generative AI Artificial Inteligence Machine Learning 215

TechCrunch

NOVEMBER 2, 2022

But if you look closely, certain parts around investing is a big data problem – the kind of problem we can apply machine learning to at scale.”. You can try to do it yourself, but most of us are so busy with our work and life that all sorts of financial planning falls by the side.

Fintech 232

Fintech Real Estate Banking Internet 232

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. public, private, hybrid cloud)?

Scalability 94

Scalability Data Technical Review Analytics 94

Altexsoft

JULY 8, 2021

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. Alphonso – the US-based TV data company – proves this statement. You will also learn how propensity models are built and where is the best place to start.

Artificial Inteligence 78

Artificial Inteligence Machine Learning How To Airlines 78

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

Serverless 117

Serverless AWS Artificial Inteligence Big Data 117

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. report they have established a data culture 26.5% report they have a data-driven organization 39.7%

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

CIO

JANUARY 20, 2023

Here’s what to consider: Ingesting the data : To be able to analyze more data at greater speeds, organizations need faster processing via high-powered servers and the right chips for AI—whether CPUs or GPUs. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

CIO

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data 178

Data Artificial Inteligence Artificial Intelligence Analytics 178

AWS Machine Learning - AI

NOVEMBER 20, 2024

Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. This custom knowledge base that connects these diverse data sources enables Amazon Q to seamlessly respond to a wide range of sales-related questions using the chat interface. Akchhaya Sharma is a Sr.

Data 111

Data AWS Groups Knowledge Base 111

AWS Machine Learning - AI

OCTOBER 31, 2024

Performance optimization The serverless architecture used in this post provides a scalable solution out of the box. He enjoys supporting customers in their digital transformation journey, using big data, machine learning, and generative AI to help solve their business challenges.

Generative AI 123

Generative AI Lambda Applications AWS 123

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. These technologies allow mobile apps to learn and adapt to specific equipment conditions, further reducing the risk of equipment failures. Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

CTOvision

FEBRUARY 20, 2015

Hortonworks'' Hadoop Data Platform (HDP) is now a supported feature on Google Cloud. This new feature will allow dynamic provisioning of HDP clusters on the Google Cloud Platform, providing scalability for enterprise-wide solutions employing HDP, as well as providing a means for rapidly setting up prototyping and development environments.

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

OTS Solutions

JULY 28, 2022

AI (artificial intelligence) and machine learning (learning by machines) have been getting a lot of attention lately as digital trends in many fields. By moving their services and processes to the cloud, financial service providers can make them more scalable, secure, and efficient. AI ( Artificial Intelligence ).

Artificial Inteligence 204

Artificial Inteligence Blockchain Banking Fintech 204

Altexsoft

MARCH 30, 2020

the fourth industrial revolution driven by automation, machine learning, real-time data, and interconnectivity. Similar to preventive maintenance, PdM is a proactive approach to servicing of machines. Historical data accumulated over the years creates a solid foundation for accurate predictions. Source: IAMTech.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Modern CTO

JANUARY 17, 2025

He has extensive hands-on experience delivering highly scalable distributed systems, big data, cloud technologies and machine learning techniques. Prior to Mailchimp, Jack spent 19 years in senior engineering roles at Intuit.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Software Engineering Big Data 52

AWS Machine Learning - AI

FEBRUARY 26, 2024

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. Finally, we recommend referring to Evaluate large language models for quality and responsibility to learn more about evaluating LLMs.

Artificial Inteligence 140

Artificial Inteligence AWS Lambda Metrics 140

Altexsoft

JULY 27, 2021

And what does machine learning have to do with it? In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. How recommender systems work: data processing phases.

Artificial Inteligence 76

Artificial Inteligence Machine Learning Systems Review System 76