Xebia

MARCH 30, 2025

“The fine art of data engineering lies in maintaining the balance between data availability and system performance.” ” Ted Malaska At Melexis, a global leader in advanced semiconductor solutions, the fusion of artificial intelligence (AI) and machine learning (ML) is driving a manufacturing revolution.

Testing 130

Testing Artificial Inteligence Comparison Software Review 130

CIO

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

TechCrunch

SEPTEMBER 27, 2021

Machine learning and other artificial intelligence applications add even more complexity. This is an issue that extends to different aspects of enterprise IT: for example, Firebolt is building architecture and algorithms to reduce the bandwidth needed specifically for handling big data analytics.

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

O'Reilly Media - Data

FEBRUARY 28, 2018

Of course, this isn’t “big data” by any measure, but more realistic than a toy/debugging scenario. Training scalability. Figure 3 shows that for this 75mb benchmark: Spark-NLP was more than 38 times faster to train 100 KB of data and about 80 times faster to train 2.6 Scalability difference is significant.

Scalability 218

Scalability Performance Comparison Training 218

CIO

NOVEMBER 1, 2024

Several co-location centers host the remainder of the firm’s workloads, and Marsh McLennans 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 183

Generative AI Technical Advisors Insurance Weak Development Team 183

Apiumhub

DECEMBER 9, 2024

This opens a web-based development environment where you can create and manage your Synapse resources, including data integration pipelines, SQL queries, Spark jobs, and more. Link External Data Sources: Connect your workspace to external data sources like Azure Blob Storage, Azure SQL Database, and more to enhance data integration.

Azure 89

Azure Analytics Storage Artificial Inteligence 89

AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

Generative AI 74

Generative AI Systems Review Artificial Inteligence Software Review 74

AWS Machine Learning - AI

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface.

Generative AI 114

Generative AI Lambda Applications AWS 114

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

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 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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. Python is a high-level, interpreted, general purpose programming language. Python emphasizes on code readability and therefore has simple and easy to learn syntax.

Programming 317

Programming Open Source Trends Quality Assurance 317

N2Growth Blog

JANUARY 29, 2024

The advent of Artificial Intelligence has disrupted multiple sectors, and the executive search industry is no different. With its immense power to decode complex data, AI is reshaping how the best search partners identify and acquire top-tier organizational talent.

Artificial Inteligence 88

Artificial Inteligence Artificial Intelligence Recruiting Big Data 88

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

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

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

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? What is IoT or Internet of Things?

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

CIO

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. 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.

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Artificial Inteligence Data Artificial Intelligence Analytics 178

Daffodil Software

AUGUST 11, 2021

There has been continuous innovation in this field of technology as it converges with various technology stacks associated with Big Data and Artificial Intelligence.

IoT 98

IoT Scalability Artificial Inteligence Artificial Intelligence 98

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

OTS Solutions

JULY 28, 2022

AI ( Artificial Intelligence ). AI (artificial intelligence) and machine learning (learning by machines) have been getting a lot of attention lately as digital trends in many fields. The world of finance is being changed by fintech, automated technology, and machine learning algorithms.

Artificial Inteligence 204

Artificial Inteligence Blockchain Banking Fintech 204

AWS Machine Learning - AI

AUGUST 13, 2024

Generative artificial intelligence (AI) provides an opportunity for improvements in healthcare by combining and analyzing structured and unstructured data across previously disconnected silos. In this post, we explore using the Anthropic Claude 3 on Amazon Bedrock large language model (LLM).

Healthcare 123

Healthcare Artificial Inteligence Analysis Lambda 123

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

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. report they have established a data culture 26.5%

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Artificial Inteligence Strategy Data Machine Learning 174

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.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

AWS Machine Learning - AI

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications.

Artificial Inteligence 110

Artificial Inteligence Data Generative AI AWS 110

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 153

Innovation Artificial Inteligence Data Serverless 153

TechFides Blog

APRIL 1, 2025

Through scalable processes, real-time data, and advanced analytics, companies are reinventing their business models to achieve efficiency and reduce waste. Automation and artificial intelligence (AI) play a crucial role in optimizing manufacturing processes, inventory management, and supply chain logistics.

Sustainability 40

Sustainability Technology Enterprise Artificial Inteligence 40

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. Serving The Model . Through PySpark, data can be accessed from multiple sources. Background / Overview.

Machine Learning 115

Machine Learning Artificial Inteligence Applications Data 115

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. Monitoring and Managing AI Projects with Model Observability. Monitoring with Machine Learning.

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.

Technical Review 216

Technical Review Artificial Inteligence Machine Learning 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

AWS Machine Learning - AI

OCTOBER 2, 2024

This approach, when applied to generative AI solutions, means that a specific AI or machine learning (ML) platform configuration can be used to holistically address the operational excellence challenges across the enterprise, allowing the developers of the generative AI solution to focus on business value.

Generative AI 111

Generative AI Artificial Inteligence AWS Government 111

CIO

FEBRUARY 5, 2024

This includes using blockchain for safe and transparent transactions, artificial intelligence to create a more personal experience for our customers and making our mobile banking platform easy to use. The primary challenge we aimed to address was updating our outdated infrastructure to achieve greater scalability and agility.

Banking 179

Banking Artificial Inteligence Blockchain Scalability 179

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

Cloudera

NOVEMBER 19, 2020

In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors.

Government 119

Government Artificial Inteligence Data Machine Learning 119

AWS Machine Learning - AI

JULY 1, 2024

Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. It features natural language understanding capabilities to recognize more accurate identification of user intent and fulfills the user intent faster.

Knowledge Base 115

Knowledge Base Artificial Inteligence Generative AI AWS 115

Mobilunity

NOVEMBER 11, 2024

We already have our personalized virtual assistants generating human-like texts, understanding the context, extracting necessary data, and interacting as naturally as humans. It’s all possible thanks to LLM engineers – people, responsible for building the next generation of smart systems. What’s there for your business?

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Artificial Inteligence Handbook Engineering Technical Review 52