Snowflake

MAY 3, 2023

Manufacturers face no shortage of challenges in the industry today, but there are also tremendous opportunities to be had. In this post we will discuss how some modern manufacturers are deriving deeper insight from their SAP data in order to drive faster, smarter decision-making and unlock new opportunities in the market.

Manufacturing 97

Manufacturing Portfolio Finance Data 97

Snowflake

JANUARY 6, 2025

The incredible promise of the fully autonomous vehicle (AV) and more advanced driver assistance systems (ADAS) has been driving the automotive industry for the better part of the last decade. It also supports advanced machine learning and simulation models, crucial for ADAS/AV development, better and more efficiently than on-premises systems.

Manufacturing 88

Manufacturing Cloud Computing Data Storage Technology 88

Snowflake

APRIL 13, 2023

Manufacturers today are implementing a range of new technologies to increase operational efficiency and create visibility and flexibility across value chains. However, many manufacturers need help accessing and integrating the data needed to power these initiatives, as it is often siloed across different systems, platforms, and locations.

Manufacturing 91

Manufacturing Cloud Data Consolidation Consulting 91

Cloudera

JANUARY 30, 2024

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.

Manufacturing 81

Manufacturing Data Lake Data Science Cloud 81

databricks

JUNE 11, 2025

Lakehouse integration : Lakebases should make it easy to combine operational, analytical, and AI systems without complex ETL pipelines. Unlike proprietary systems, lakebases promote transparency, portability, and community-driven innovation. As a result, there has been very little innovation in this space for decades.

Entertainment 85

Entertainment Data Lake Manufacturing Consulting 85

databricks

JUNE 18, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Management 82

Management Entertainment Manufacturing Consulting 82

KDnuggets

JUNE 24, 2025

Think of data pipelines like assembly lines in manufacturing. Theyre about building reliable, maintainable systems. The key is having a reliable, reusable system that handles the mundane tasks so you can focus on extracting insights from clean data. 🔗 Link to the code on GitHub Why Data Cleaning Pipelines?

Python 102

Python Building Data Science Machine Learning 102

ProjectPro

JUNE 6, 2025

With AI projects becoming more complex—managing autonomous traffic systems, optimizing smart grids, or even coordinating robot teams—traditional single-agent systems struggle to keep pace. This is where multi-agent AI systems step up, offering a solution as innovative as it is essential.

Systems 63

Systems Building Project Transportation 63

The Pragmatic Engineer

NOVEMBER 21, 2023

If you had a continuous deployment system up and running around 2010, you were ahead of the pack: but today it’s considered strange if your team would not have this for things like web applications.  We dabbled in network engineering, database management, and system administration. and hand-rolled C -code.

Engineering 339

Engineering Bytes Cloud Computing AWS 339

Snowflake

APRIL 9, 2025

2025 Snowflake Startup Challenge semifinalists Katalyze AI Katalyze AI predicts deviations, optimizes raw material control and enhances production efficiency cutting waste and accelerating time to market for biopharma manufacturers.

Pharmaceutical 97

Pharmaceutical Manufacturing Data Ingestion SQL 97

databricks

OCTOBER 1, 2024

The buzz around compound AI systems is real, and for good reason. Compound AI systems combine the best parts of multiple AI models.

Generalist 124

Generalist Systems Manufacturing Data Science 124

RandomTrees

AUGUST 6, 2024

Manufacturing has always been at the cutting edge of technology since it drives economic growth and societal changes. It can revolutionize manufacturing processes, product development and supply chain management. This article examines how GenAI transforms manufacturing by discussing its application, benefits, challenges and prospects.

Manufacturing 52

Manufacturing Transportation High Quality Data Deep Learning 52

Snowflake

JANUARY 30, 2025

Personalization is also a game changer in healthcare and life sciences, leading to improved patient outcomes and cost savings for healthcare systems. By analyzing all of a videos modalities, including visual, audio, text and sound effects, they can provide contextual insights and customized recommendations.

Unstructured Data 93

Unstructured Data Entertainment Healthcare Telecommunication 93

RandomTrees

OCTOBER 9, 2024

Today’s manufacturing landscape is truly on a whole new level, and getting perfection has never been more intense. This is where Generative Artificial Intelligence, simply known as GenAI, comes in and is currently being used to transform quality assurance in manufacturing processes.

Manufacturing 52

Manufacturing Electronics Unstructured Data Utilities 52

The Pragmatic Engineer

MARCH 19, 2024

From Wikipedia : “In the late 1950s, computer users and manufacturers were becoming concerned about the rising cost of programming. In an amusing twist, a few years ago, demand for COBOL developers reportedly soared as there are still critical banking and insurance systems using this now-ancient language.

Software Engineering 342

Software Engineering Software Engineer Programming Language Media 342

Snowflake

APRIL 16, 2025

For example, teams can enhance predictive models by including text and images, correlate medical imaging to treatment outcomes, or identify manufacturing defects from production line photos. In manufacturing, facilities are able to prevent costly defects by linking visual inspection data with production specifications.

Data Analysis 59

Data Analysis Unstructured Data Manufacturing Retail 59

Cloudera

SEPTEMBER 15, 2022

Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency. In this blog post, we will talk about a single Ozone cluster with the capabilities of both Hadoop Core File System (HCFS) and Object Store (like Amazon S3).

Systems 87

Systems Hadoop Metadata Telecommunication 87

Engineering at Meta

JUNE 19, 2024

We’re introducing parameter vulnerability factor (PVF) , a novel metric for understanding and measuring AI systems’ vulnerability against silent data corruptions (SDCs) in model parameters. But the growing complexity and diversity of AI hardware systems also brings an increased risk of hardware faults such as bit flips.

Systems 96

Systems Deep Learning Manufacturing Architecture 96

Data Engineering Weekly

OCTOBER 11, 2024

Agent systems powered by LLMs are already transforming how we code and interact with data. This next phase, the AI-Native Data Stack , will fundamentally alter how we build, maintain, and scale data systems. This centralized model mirrors early monolithic data warehouse systems like Teradata, Oracle Exadata, and IBM Netezza.

Manufacturing 111

Manufacturing Transportation Data Warehouse Unstructured Data 111

ProjectPro

JUNE 6, 2025

Azure Data Factory Pipeline Project Description and Purpose This data engineering project aims to build an azure data factory ETL pipeline that extracts data from various manufacturing systems, such as machines and sensors and loads it into a centralized data warehouse.

Coding 40

Coding Manufacturing Data Cleanse Data Warehouse 40

Edureka

JUNE 12, 2024

AI in Manufacturing is an ideal match for the future because many manufacturing industries can produce an increasing number of products and identical parts, generating massive amounts of data and incurring significant costs. In this article, we will be explaining What is AI in Manufacturing? How is AI used in Manufacturing?

Manufacturing 52

Manufacturing Media Algorithm Designing 52

RandomTrees

DECEMBER 17, 2024

These problems have created a situation where AI systems, especially GenAI, need to be integrated to improve and automate quality control systems. Traceability: GenAI works with blockchain systems that allow the movement of a supply chain to be followed in real time, thus proving that every component used is safe.

Food 52

Food Manufacturing Transportation Machine Learning 52

Snowflake

NOVEMBER 8, 2023

The sheer amount of connected product data—petabytes generated on a daily basis—is reshaping manufacturing by presenting new business opportunities as well as tackling challenges that have for a long time stalled innovation.

Manufacturing 110

Manufacturing Insurance Finance Technology 110

FreshBI

MAY 3, 2024

For businesses that derive their revenue from Manufacturing or Distribution, the choice for ERP includes MS Dynamics 365 Biz Central, SAP Biz One Pro, SYSPRO, Netsuite, Acumatica. Let's use the example of a manufacturing company that is in the thick of selecting an ERP for the stated reasons above. What are first things?

Manufacturing 52

Manufacturing BI Process Banking 52

Edureka

MAY 8, 2025

Real-World Data Engineering Applications Data engineering is an important area in today’s data world because it studies how to build, manage, and organize systems that collect, store, and process large amounts of data. Allow us to begin. Here are the 9 prominent data engineering applications: 1.

Data Engineer 52

Data Engineer Data Engineering Engineering Telecommunication 52

Data Engineering Weekly

JUNE 22, 2025

[link] Booking.com: Unlocking the Power of Customization: How Our Enrichment System Transforms Recommendation Data Enrichments Booking.com shares how it revamped its Recommendation Platform’s enrichment layer to tackle issues of tight coupling and low reusability when attaching data like prices, wishlist counts, and images to recommendations.

Data Engineer 52

Data Engineer Data Engineering Engineering Manufacturing 52

databricks

SEPTEMBER 29, 2023

This article represents a collaborative effort between Plotly, Ballard Power Systems, and Databricks. Fleets of buses worldwide run on hydrogen fuel cells made.

Systems 113

Systems Manufacturing 113

Snowflake

MARCH 19, 2024

While traditional systems store and process data in batches, streaming data refers to data that is continuously generated from a variety of sources. Let’s use manufacturing as an example. Manufacturing partners such as DXC, Infosys, Kipi and LTI offer IoT solutions integrated with Snowflake’s streaming capabilities.

Architecture 103

Architecture Manufacturing Telecommunication Retail 103

Confluent

JULY 2, 2025

Both stream processing systems like Apache Flink® and chess games involve sequences, state, timing, and pattern recognition. We’ve used the chessboard as an analogy to explain the stream-table duality before, but we’ll expand on a few other concepts.

Process 52

Process Kafka Telecommunication Manufacturing 52

databricks

MAY 16, 2024

In the semiconductor industry, research and development tasks, manufacturing processes, and enterprise planning systems produce an array of data artifacts that can be fused to create an intelligent semiconductor enterprise.

Manufacturing 98

Manufacturing Data Systems Process 98

Cloudera

FEBRUARY 8, 2021

This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology. 1 The enterprise data lifecycle. Data Enrichment Challenge.

Data Pipeline 118

Data Pipeline Building Manufacturing Data Warehouse 118

databricks

JUNE 4, 2025

Blue Origin: Accelerating Innovation with Databricks and AWS GovCloud Learn how Blue Origin uses Databricks on AWS to comply with ITAR and FedRAMP High, while enabling real-time insights, predictive maintenance, and AI-powered CAD automation for next-gen manufacturing. Live Demos at AWS Booth #E401!

AWS 52

AWS Entertainment Manufacturing Media 52

Cloudera

JANUARY 20, 2021

This story will show how data is collected, enriched, stored, served, and then used to predict events in the car’s manufacturing process using Cloudera Data Platform. This story will feature a mock connected vehicle manufacturing company of electric vehicles called (with a highly original name of) The Electric Car Company (ECC).

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Snowflake

OCTOBER 2, 2024

Meanwhile, 79% of industry professionals said gen AI has the potential to revolutionize drug manufacturing in terms of quality and efficiency. Additionally, there are high costs associated with implementing AI and maintaining a team of skilled professionals to develop and manage AI systems.

Pharmaceutical 98

Pharmaceutical Manufacturing Healthcare Algorithm 98

Engineering at Meta

OCTOBER 15, 2024

By breaking down traditional data center technologies into their core components we can build new systems that are more flexible, scalable, and efficient. As a distributed system, DSF is designed to support high scale AI clusters. As a distributed system, DSF is designed to support high scale AI clusters.

Manufacturing 116

Manufacturing Portfolio Designing Systems 116

RandomTrees

DECEMBER 4, 2024

The purpose of this article is to demonstrate how AI is enabling the F&B sector to utilize AI Inventory Management, GenAI Waste Reduction Solutions , and Smart Inventory Systems to streamline operations responsibly. Up-to-date Inventory Information Smart inventory systems equipped with IoT sensors and AI monitor stock levels in real time.

Food 52

Food Management Manufacturing Machine Learning 52

Knowledge Hut

MAY 17, 2024

In the early 1940s, Toyota automotive in Japan used a simple planning system to manage and control work and inventory at each stage optimally. It is related to lean and just-in-time JIT production, where it is used as a scheduling system to indicate what to produce, when, and how much. How does Kanban System work?

Systems 52

Systems Manufacturing Electronics Certification 52