CIO

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Data Engineering 321

Data Engineering Analytics Engineering Data 321

OTS Solutions

JUNE 3, 2022

For 2022, our experts have outlined some healthcare digital transformation trends that they feel will assist healthcare professionals continue to provide high-quality treatment for all of us. At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies.

Healthcare 345

Healthcare Artificial Inteligence Trends Artificial Intelligence 345

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

Invid Group

JANUARY 7, 2024

How to Predict Consumer Behavior with Big Data and AI in 2024 BY: INVID Understanding consumer behavior is essential to competitiveness in today’s fast-paced, data-driven corporate environment. In this article, we’ll dive into the revolutionary potential of big data and artificial intelligence (AI).

Big Data 52

Big Data Artificial Inteligence Artificial Intelligence Systems Review 52

ProCal Tech

AUGUST 19, 2022

The power of Big data and Analytics Home August 19, 2022 data In this article by Procal, we will understand how big data and analytics are making a huge impact on businesses across all domains. The growth of big data in health care is expected to accelerate.

Big Data 52

Big Data Analytics Data Telecommunications 52

KitelyTech

JUNE 14, 2023

Machine learning is one of the hottest new technologies with the ability to multiply your company’s performance stats ten-fold. Before you jump into machine learning applications and integrations, it’s important to have a stronger understanding of what machine learning is to see how you can use it.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Artificial Intelligence Analytics 52

ProCal Tech

MAY 27, 2022

In this article by Procal, we will understand how big data and analytics are making a huge impact on businesses across all domains. . Today, big data and statistics change the way decisions are made – from day-to-day business challenges to dividing a company in an effort to gain a competitive advantage.

Big Data 52

Big Data Analytics Data Comparison 52

CIO

JULY 20, 2023

Here are three technology trends that IT leaders in the retail industry must adopt to create value for both their organizations and their customers. For instance, Walmart’s AI solution Eden leverages machine learning to optimize inventory levels and predict demand across its stores.

Retail 185

Retail Trends Technology 3D 185

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 130

Innovation Artificial Inteligence Data Serverless 130

Cloudera

APRIL 6, 2022

Although researchers can recruit “citizen scientists” to help look at images through crowdsourcing ventures such as Zooniverse , astronomy is turning to artificial intelligence (AI) to find the right data as quickly as possible. This e-learning allows lots of folks to assist with the AI. Streaming analytics beyond Earth.

Big Data 99

Big Data Artificial Inteligence Data Machine Learning 99

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. As a logical reaction to this problem, a new trend — MLOps — has emerged. This article. Better user experience.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

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

TechCrunch

JULY 12, 2022

SingleStore , a provider of databases for cloud and on-premises apps and analytical systems, today announced that it raised an additional $40 million, extending its Series F — which previously topped out at $82 million — to $116 million. The provider allows customers to run real-time transactions and analytics in a single database.

Storage 206

Storage Big Data Analytics Survey 206

CIO

MARCH 13, 2024

Altrettanto importante (e forse più trascurata) è la questione dei big data che servono per addestrare i modelli e il costo connesso. L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%).

Artificial Inteligence 262

Artificial Inteligence Machine Learning Software Review CTO Coach 262

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

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

Sunflower Lab

APRIL 2, 2024

Imagine a business world where your decisions are not just guided by past data, they are turbo-charged by insights that peer into the future, giving you a strategic advantage that feels almost unfair. That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

CTOvision

JUNE 17, 2014

It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends.

Big Data 103

Big Data Analytics Groups Data 103

MagmaLabs

APRIL 25, 2023

Read this and learn the trends in Software Development for eCommerce to stay competitive in 2023 —and the upcoming years. That is why, as online business owners or leaders, we must stay at peace with all the trends that convey our goals. As you may know, there are other significant macroeconomic trends that came into play.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

MagmaLabs

APRIL 25, 2023

Read this and learn the trends in Software Development for eCommerce to stay competitive in 2023 —and the upcoming years. That is why, as online business owners or leaders, we must stay at peace with all the trends that convey our goals. As you may know, there are other significant macroeconomic trends that came into play.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

Altexsoft

DECEMBER 9, 2020

In the era of global digital transformation , the role of data analysis in decision-making increases greatly. Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

Hu's Place - HitachiVantara

JUNE 11, 2019

The global big data market is expected to grow at a CAGR of 22.4% Data analytics is expected to be the key driver for this market. However, the stocks of big data analytics vendors have been tanking in a way that is reminiscent of the dot com bust. So, what is happening?

Big Data 63

Big Data Analytics Cloud Data 63

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. Emerging Trends in AI-Driven Executive Search In traditional executive search, intuition and personal judgment play crucial roles in the process.

Artificial Inteligence 86

Artificial Inteligence Artificial Intelligence Recruiting Big Data 86

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

Dell EMC

JULY 18, 2019

The new Dell EMC DSS 8440 server accelerates machine learning and other compute-intensive workloads with the power of up to 10 GPUs and high-speed I/O with local storage. As high-performance computing, data analytics and artificial intelligence converge, the trend toward GPU-accelerated computing is shifting into high gear.

Artificial Inteligence 75

Artificial Inteligence Machine Learning Artificial Intelligence Storage 75

Hu's Place - HitachiVantara

JANUARY 3, 2019

Public cloud, agile methodologies and devops, RESTful APIs, containers, analytics and machine learning are being adopted. Against this backdrop there are five trends for 2019 that I would like to call out. Building an AI or machine learning model is not a one-time effort.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Coforge

AUGUST 27, 2020

* field--node--title--blog-post.html.twig x field--node--title.html.twig * field--node--blog-post.html.twig * field--title.html.twig * field--string.html.twig * field.html.twig --> Machine Learning: Unlocking the Next for Insurers. It has also seen significant success in building analytics capabilities over the past few years.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Insurance Artificial Intelligence 52

Invid Group

NOVEMBER 5, 2023

This blog will explain the importance of forecasting analysis tools for businesses in 2024, as well as how these tools can influence data-driven decision-making. The Rise of Predictive Analytics Predictive analytics uses past data and algorithms to predict future outcomes.

Analysis 52

Analysis Tools Machine Learning Artificial Inteligence 52

Coforge

JANUARY 29, 2024

Advanced technologies like AI, machine learning, big data analytics and digital assets are fundamentally changing client expectations and the competitive dynamics of the industry. The world of asset and wealth management is witnessing massive change due to disruptive forces reshaping the financial landscape.

Technical Review 52

Technical Review Machine Learning Artificial Inteligence Big Data 52

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

TechCrunch

SEPTEMBER 7, 2021

It’s in too many places, and there is just too much of it, and it’s growing every day (and changing every day), which means that traditional approaches of porting data to a centralized location to run analytics on it just wouldn’t be efficient, and would cost a fortune to execute. That is where Segera comes in.

Data 200

Data Machine Learning Artificial Inteligence Pharmaceuticals 200

Trigent

NOVEMBER 3, 2022

The ultimate goal of any organization dealing with a pool of connected devices and sensors is to leverage this data by learning the trends and patterns. There lies the importance of data analytics. Data analytics is not new to us anymore. Delivering value in connected logistics.

Analytics 52

Analytics Data IoT Trends 52

O'Reilly Media - Ideas

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. Use ML to unlock new data types—e.g.,

Machine Learning 99

Machine Learning Artificial Inteligence Technical Review Technology 99

CTOvision

FEBRUARY 4, 2016

In much the same way businesses have been eager to use big data analytics to improve their operations, many companies have paid a lot of interest to the growing field of machine learning. Unlike some other tech trends that have come and gone, machine learning appears to be more than just some fad.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Big Data IoT 72

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

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

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111