Knowledge Hut

DECEMBER 27, 2023

Many industries, such as medicine, business, technology, defense, aerospace, marketing, and manufacturing, need a team of software developers to ensure their businesses' maximum performance and introduce innovative software and technologies. They make sure that all enterprise applications run smoothly at any cost.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. He currently works at Cloudera, managing their Data-in-Motion product line.

Data Ingestion 72

Data Ingestion Retail Kafka Data Lake 72

Knowledge Hut

JUNE 26, 2023

Multiple types of data exist within organizations, and it is the obligation of data architects to standardize them so that data analysts and scientists can use them interchangeably. If data scientists and analysts are pilots, data engineers are aircraft manufacturers. Which queries do you have?

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

ProjectPro

NOVEMBER 18, 2021

Pfizer's AI implementation helped rapidly identify signals within the noise of millions of data points across their 44,000-candidate COVID-19 clinical trial. Machine learning models can help identify efficient supply systems by automating and optimizing the production steps. Zomato has closed over ten crore delivery orders as of date.

Data Science 52

Data Science Project Food Pharmaceutical 52

ProjectPro

OCTOBER 20, 2021

Data Science has taken off in the technology space, the job title data scientist even being crowned as the Sexiest Job of the 21 st Century. Let's understand where Data Science belongs in the space of Artificial Intelligence. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

U-Next

AUGUST 24, 2022

According to McKinsey , deep learning and reinforced learning is two AI methodologies that have the potential to produce from $3.5T While Machine Learning is sometimes viewed as monolithic, it has several subs, including computer vision, Machine Learning, and the trying to cut reinforcement learning technology.

Machine Learning 40

Machine Learning Algorithm Manufacturing Data Collection 40

Knowledge Hut

JANUARY 11, 2024

Data science has become popular in the last few years due to its successful application in making business decisions. Data scientists have been using data science techniques to solve challenging real-world issues in healthcare, agriculture, manufacturing, automotive, and many more.

Data Science 98

Data Science Transportation Banking Hospitality 98

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineers are professionals who handle large volumes of structured and unstructured data effectively. They are responsible for changing the design, development, and management of data pipelines while also managing the data sources for effective data collection.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

AltexSoft

MAY 12, 2023

Tools and platforms for unstructured data management Unstructured data collection Unstructured data collection presents unique challenges due to the information’s sheer volume, variety, and complexity. The process requires extracting data from diverse sources, typically via APIs.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

DoorDash Engineering

APRIL 23, 2024

Data collection slows model development, delays adding new items to the active catalog, and creates high operator costs. Using LLMs to circumvent the cold-start problem Large language models, or LLMs, are deep-learning models trained on vast amounts of data.

Building 91

Building Retail Manufacturing Unstructured Data 91