Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloudera

APRIL 20, 2021

Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better. Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production.

Hospitality 93

Hospitality Kafka Retail Data Ingestion 93

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

SEPTEMBER 26, 2014

BI professionals use various tools to draw useful data that are used to generate customized reports and this is where the Hadoop File Distribution System (HDFS) proves itself. Today, the manufacturing sector uses Hadoop for assessment of product quality. Hadoop has proven its usefulness in various segments of business.

Business Intelligence 40

Business Intelligence Hadoop BI Relational Database 40

Monte Carlo

JANUARY 16, 2024

As every company becomes a data company, and more users within these companies are discovering new uses for previously unavailable data, existing infrastructure and tools are not just meeting that demand but creating new demands. At the center of it all is the data warehouse, the lynchpin of any modern data stack.

Data Lake 52

Data Lake Data Warehouse Unstructured Data AWS 52

Snowflake

APRIL 10, 2023

The platform pushes the boundaries of natural language processing (NLP) with a diverse, rapidly expanding (and almost limitless) number of use cases that extends from automotive manufacturing and chemicals to HR, insurance, legal, finance, and government. From there, we can process information not unlike how humans do.

Unstructured Data 56

Unstructured Data Manufacturing Insurance Government 56

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Cloudera

SEPTEMBER 15, 2022

There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Cloudera

JUNE 4, 2018

That’s the equivalent of 1 petabyte ( ComputerWeekly ) – the amount of unstructured data available within our large pharmaceutical client’s business. Then imagine the insights that are locked in that massive amount of data. By use case: content may also support multiple research and drug manufacturing use cases.

Pharmaceutical 46

Pharmaceutical Unstructured Data Electronics Metadata 46

U-Next

OCTOBER 26, 2022

The future of AI in finance is thoroughly discussed in this blog. . It mainly focuses on building systems that perform based on the input data without requiring numerous human interventions such as coding, etc. AI assesses unstructured data about potentially dangerous actions or activities in an organization’s operations.

Finance 40

Finance Portfolio Banking Algorithm 40

ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. It will explain what an instance of the best-in-class answers would sound like.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

JUNE 26, 2015

Big data companies are busy discovering novel big data solutions to make the best out of big data analytics to grow their businesses. Poachers are aware of all the characteristics of tiger’s habitat and it would be very difficult to trace them without big data in action. “Watson amplifies human creativity.

Big Data 40

Big Data Food Unstructured Data Retail 40

Tweag

APRIL 19, 2023

In this blog post, I will explain the underlying technical challenges and share the solution that we helped implement at kaiko.ai , a MedTech startup in Amsterdam that is building a Data Platform to support AI research in hospitals. A single hospital makes many captures a day, producing terabytes of such data to store and process.

Medical 60

Medical Process Cloud Bytes 60

ProjectPro

MARCH 23, 2016

Hadoop has become the go-to big data technology because of its power for processing large amounts of semi-structured and unstructured data. Hadoop is not popular for its processing speed in dealing with small data sets. It has a robust community support that is evolving over time with novel advancements.

Hadoop 40

Hadoop IT Big Data Retail 40

DoorDash Engineering

APRIL 23, 2024

As our catalog expands, we seek new approaches driven by machine learning to auto-enrich SKU data. Extracting attribute-value information from unstructured data is formally known as named-entity recognition ; most recent approaches model the extraction task as a token classification.

Building 90

Building Retail Manufacturing Unstructured Data 90

Snowflake

JULY 13, 2023

In this blog post, we delve into the event highlights across our industries as well as key takeaways from Snowflake’s industry leaders. Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs). Whether you missed the event this year (there’s always Summit 2024 !) Watch the session.

Entertainment 57

Entertainment Manufacturing Retail Media 57

Knowledge Hut

APRIL 23, 2024

So, BI empowers businesses to understand their respective customers, make data-driven decisions, and analyze market trends. So, let us explore the future of business intelligence further in this blog. NLP also allows businesses to generate insights from unstructured data sources like customer feedback and social media.

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52

Snowflake

DECEMBER 14, 2023

At a global specialty food manufacturer, the data team went on a sleuthing mission to uncover the use of ChatGPT by monitoring network traffic. Do the data and insights teams have the tools they need and the expertise to use them? Responsible AI requires data literacy for everyone.

Pharmaceutical 96

Pharmaceutical Food Government Transportation 96

ProjectPro

MARCH 14, 2014

As the big data boom spreads globally, we at ProjectPro describe on how big data helps business across different industries and the companies using big data that stand to gain the most from implementing big data initiatives.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

Knowledge Hut

FEBRUARY 28, 2024

Ironically, there is a plethora of information out there, and it can be hard to filter through and understand the potential of Big Data online. In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. What is Big Data?

Big Data 52

Big Data Cloud Storage Healthcare SQL 52