Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Artificial Inteligence 52

CIO

JUNE 13, 2024

They create reports, dashboards, and other visualizations on data associated with customers, business processes, market economics, and more to provide insights to senior management and business leaders in support of decision-making efforts.

Data 148

Data Analytics Transportation Business Intelligence 148

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Artificial Inteligence Machine Learning Big Data 117

Altexsoft

JANUARY 27, 2022

In the last decades, many cities adopted intelligent transportation systems (ITS) that support urban transportation network planning and traffic management. Transportation, delivery, field service, and other businesses have to accurately schedule their operations and create the most efficient routes. Machine learning approach.

Artificial Inteligence 69

Artificial Inteligence Machine Learning Transportation Network 69

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 108

Big Data Technology Tools Cloud 108

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

CIO

MARCH 13, 2023

Perceptions are shifting Lately, there is more receptivity to hearing about opportunities in other sectors for positions in information security, data, engineering, and cloud, observes Craig Stephenson,managing director for the North America technology, digital, data and security officers practice at Korn Ferry.

Healthcare 148

Healthcare Real Estate Artificial Inteligence Machine Learning 148

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer? Big Data requires a unique engineering approach. Big Data Engineer vs Data Scientist.

Big Data 52

Big Data Data Engineering Engineering Data 52

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?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

Perficient

JANUARY 4, 2024

Built on our accelerated modeling process, CX AI focuses on developing an interactive model that demonstrates how your organization can leverage machine learning, natural language processing, and cognitive computing to jump start Al adoption. Contact us  now to discover how our expertise can take your business to new heights.

Artificial Inteligence 72

Artificial Inteligence Artificial Intelligence Generative AI Pharmaceuticals 72

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Analytics in logistics and transportation.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

JANUARY 20, 2021

Predictive Analytics – predictive analytics based upon AI and machine learning (Fraud detection, predictive maintenance, demand based inventory optimization as examples). Security & Governance – an integrated set of security, management and governance technologies across the entire data lifecycle.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 62

Course Training Artificial Inteligence Machine Learning 62

Altexsoft

OCTOBER 23, 2019

The scope includes companies working with machine learning, fintech, biotech, cybersecurity, smart cities, voice recognition, and healthtech. MODEX 2020 will cover a broader spectrum of transportation, logistics, supply management, and fulfillment. Southern Data Science Conference 2020. Closest date and location: TBD.

Security 13

Security Artificial Inteligence Conference Data Center 13

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

MARCH 18, 2021

Transformations may include: data sorting and filtering to get rid of irrelevant items, de-duplicating and cleansing, translating and converting, removing or encrypting to protect sensitive information, splitting or joining tables, etc. These are data engineers who are responsible for implementing these processes.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Openxcell

JANUARY 3, 2025

The company offers a wide range of AI Development services, such as Generative AI services, Custom LLM development , AI App Development , Data Engineering , GPT Integration , and more. The company now specializes in artificial intelligence, machine learning, and computer vision. for multiple industries.

Artificial Inteligence 40

Artificial Inteligence Company Development Artificial Intelligence 40

Altexsoft

APRIL 14, 2021

In this post, we’ll explain the other field of machine learning. Read on to find out more about unsupervised learning, its types, algorithms, use cases, and possible pitfalls. What is unsupervised learning? Unsupervised machine learning is a process of inferring underlying hidden patterns from historical data.

Examples 52

Examples Artificial Inteligence Machine Learning Hotels 52

Altexsoft

MAY 14, 2021

It’s represented in terms of batch reporting, near real-time/real-time processing, and data streaming. The best-case scenario is when the speed with which the data is produced meets the speed with which it is processed. Let’s take the transportation industry for example. billion data points. The Ginger.io

Big Data 78

Big Data Analytics Tools Applications 78

Openxcell

MARCH 27, 2025

Expertise & Innovation: Companies with leading AI capabilities, such as machine learning, natural language processing, and computer vision with robust AI solutions. The company offers Python development , computer vision, chatbot development, and data science/ big data services to businesses.

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Innovation Company 40

Altexsoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Big Data 59

Big Data Data Google Cloud Open Source 59

Altexsoft

DECEMBER 7, 2021

In logistics, it refers to the transportation of goods and is typically used to inform customers of the time when the vehicle carrying their freight will arrive. Estimated time of departure is the time when the transport departs from the starting point. It’s crucial for all parties involved in the transportation process.

How To 52

How To Artificial Inteligence Software Review Systems Review 52

Altexsoft

APRIL 13, 2023

If we speak about end-to-end visibility, we mean that we should be able to have a granular view of all the main components of a supply chain: transportation – which entails control over the actual delivery process, tracking shipments , predicting ETA , etc.; increase customer satisfaction by giving real-time status updates; and so on.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Openxcell

DECEMBER 27, 2024

In addition to AI consulting, the company has expertise in delivering a wide range of AI development services , such as Generative AI services, Custom LLM development , AI App Development, Data Engineering, RAG As A Service , GPT Integration, and more. Founded: 2014 Location: USA, Cyprus, Lithuania Employees: 80+ 14.

Artificial Inteligence 40

Artificial Inteligence Company Generative AI Machine Learning 40

Altexsoft

JUNE 11, 2021

an also be described as a part of business process management (BPM) that applies data science (with its data mining and machine learning techniques) to dig into the records of the company’s software, get the understanding of its processes performance, and support optimization activities. Process mining ?an

Applications 69

Applications Weak Development Team Software Review Systems Review 69

Trigent

NOVEMBER 3, 2022

AI and machine learning are already playing a significant role in shaping new initiatives for the logistics industry. With data analytics at the helm, organizations are now bringing their predictive and prescriptive learnings to the fore while harvesting descriptive data to get a competitive edge.

Analytics 52

Analytics Data IoT Trends 52

Altexsoft

FEBRUARY 22, 2022

Fleet owners in trucking , car rental , delivery, and other transportation companies know that poorly maintained vehicles burn more fuel, require frequent oiling, and go kaput every other mile. Data is gathered from connected sensors and analyzed so that predictions of possible failures can be generated.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

DECEMBER 14, 2022

During shipment, goods are carried using different types of transport: trucks, cranes, forklifts, trains, ships, etc. What’s more, the goods come in different sizes and shapes and have different transportation requirements. Then came standardized intermodal containers that revolutionized the transportation industry.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Altexsoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. This means that companies don’t necessarily need a large data engineering team. Data democratization.

Data 59

Data Technical Review Software Review Open Source 59

Altexsoft

NOVEMBER 22, 2019

Apart from purchasing expenses, there are many other figures to be considered: transportation and freight costs, insurance, customs duty, and the like. Data processing in a nutshell and ETL steps outline. But even perfectly cleansed and standardized, data is useless if it just stays in the warehouse. Source: DJUBO.

Hotels 18

Hotels Data Technical Review Systems Review 18

Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Generative AI 136

Generative AI Artificial Inteligence Security Applications 136

TIBCO - Connected Intelligence

NOVEMBER 13, 2019

These applications are delivering data management and analytics insights and actions, across healthcare, energy, CPG, retail, high tech manufacturing, transportation and logistics. Ready to take charge of your analytics strategy and remove the grunt work of time-consuming data prep?

Data 4

Data Artificial Inteligence Analytics Healthcare 4