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. But no technology can work efficiently without human experts behind it.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

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 327

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 327

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

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 173

Innovation Artificial Inteligence Data Serverless 173

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

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. One of the critical areas that have benefited from these technological advancements is predictive maintenance. Introduction to Industry 4.0

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

CIO

FEBRUARY 22, 2024

Since its creation over five years ago, the Digital Hub has included a team of experts in innovation, technologies, and trends — such as IoT, big data, AI, drones, 3D printing, or advances in customer experience — who work in concert with other business units to identify and execute new opportunities.

Artificial Inteligence 223

Artificial Inteligence IoT Technical Review Artificial Intelligence 223

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

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

CIO

JANUARY 20, 2023

Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. As the pace of innovation in these areas accelerates, now is the time for technology leaders to take stock of everything they need to successfully leverage AI and analytics.

Analytics 309

Analytics Artificial Inteligence Artificial Intelligence Hardware 309

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

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. DataStax Real-time data and decisioning First, a few quick definitions.

Artificial Inteligence 259

Artificial Inteligence Strategy Data Machine Learning 259

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

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. CRM platforms).

Scalability 92

Scalability Technical Review Data Analytics 92

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

TechCrunch

SEPTEMBER 27, 2021

Machine learning and other artificial intelligence applications add even more complexity. Now a startup that has built technology to make that process move faster and more efficiently is announcing a round of funding to address those enterprises’ evolving needs. ” . .

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

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

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

TechCrunch

JULY 12, 2022

Goldman Sachs led SingleStore’s Series F extension with participation from Sanabil, Dell Technologies Capital, Google Ventures, Hewlett Packard Enterprise, Rev IV, IBM and Insight Partners. The fundraising perhaps reflects the growing demand for platforms that enable flexible data storage and processing. 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

Agile Engine

FEBRUARY 20, 2019

2018 was the second consecutive year when Gartner published an obituary of Big Data. No one, including Gartner, thinks Big Data is dead. Au contraire, Big Data has grown so ubiquitous it became “just data”, argue the authors of the obituaries. Trend 1: From Big Data to “Just Data”.

Big Data 71

Big Data Google Cloud Data Azure 71

Xicom

MAY 4, 2021

Imagine what all other users would have learned till now, and how will the union of Machine Learning with mobile app development behave post-2021. What makes mobile app development companies in Dubai and worldwide after this amalgamation “Machine learning with Mobile Apps”? Hello “Machine Learning” .

Artificial Inteligence 52

Artificial Inteligence Machine Learning Mobile Development 52

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The toy became the official logo of the technology, used by the major Internet players — such as Twitter, LinkedIn, eBay, and Amazon.

Big Data 59

Big Data Data Google Cloud Storage 59

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

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. PdM employs multiple hardware and software modules as well as cloud technologies. IT infrastructure.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

The Crazy Programmer

MARCH 15, 2021

Programming languages are constantly and rapidly evolving in the current world of technology. It is a very versatile, platform independent and scalable language because of which it can be used across various platforms. Python emphasizes on code readability and therefore has simple and easy to learn syntax. Conclusion.

Programming 317

Programming Open Source Quality Assurance Trends 317

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. Learn more at [link]. .

Artificial Inteligence 239

Artificial Inteligence Data Artificial Intelligence Analytics 239

N2Growth Blog

JANUARY 29, 2024

The AI-geared approach in the recruitment process involves machine learning algorithms and data-driven insights to identify, sort, and evaluate potential candidates. This technology circumvents inherent human biases and ensures efficiency and consistency, enabling headhunters to draw from a more diverse talent pool.

Artificial Inteligence 86

Artificial Inteligence Artificial Intelligence Recruiting Big Data 86

Perficient

NOVEMBER 29, 2023

Machine learning is a powerful tool that can help us create intelligent systems that learn and adapt to changing circumstances. Microsoft Azure OpenAI is a cloud-based platform that provides a wide range of machine learning tools and services.

Azure 52

Azure Artificial Inteligence Machine Learning Artificial Intelligence 52

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

CloudSphere

AUGUST 10, 2023

Not only were HR team members responsible for recruitment and retention efforts within a company, but they were also expected to perform functions like payroll, benefits administration, and record-keeping. In recent years, however, HR has begun a transformative journey fueled by the integration of technology.

Technical Review 52

Technical Review Technology Artificial Inteligence Artificial Intelligence 52

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

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.”. Second, is the automation of it by using the best technology around. Arta is going live with accredited investors in the U.S. At Arta, we find the best of the two.

Fintech 232

Fintech Real Estate Banking Internet 232

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. Businesses that fail to keep up with the latest trends, technologies, and user demands risk losing customers and market share.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures. Businesses that fail to keep up with the latest trends, technologies, and user demands risk losing customers and market share.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114

Big Data Data CTO Fractional CTO 114