Cloudera

SEPTEMBER 18, 2020

The 6 key takeaways from this blog are below: 6 key takeaways. The pandemic has been a call to action for both the manufacturing and retail industries and that is the bottom line with COVID. Brent Biddulph: . In better dealing with disruption across all points of the supply chain, it all comes down to data.

Manufacturing 82

Manufacturing Retail Datasets Machine Learning 82

Cloudera

DECEMBER 15, 2017

Manufacturing as an industry has always been at the forefront of squeezing value from data. Instrumentation, highly connected systems, and automation have been part and parcel of manufacturing organisations for decades. Yet many manufacturers now feel they’ve bumped up against a ceiling. No pipedream.

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Manufacturing Machine Learning Structured Data Process 40

Scott Logic

MARCH 14, 2024

You can read more about its release in our blog post: Announcing the (proposed) Technology Carbon Standard. It covers manufacturer-provided life cycle emissions data, including Life Cycle Assessments (LCAs) and Product Carbon Footprint (PCF) reports.

Technology 52

Technology Manufacturing Transportation Cloud 52

DoorDash Engineering

APRIL 23, 2024

Historically, this SKU enrichment of extracting and tagging attributes has been a purely manual process led by contract operators. This is often known as the cold-start problem of natural language processing , or NLP. Previously, brand ingestion was a reactive and purely manual process to fulfill business needs.

Building 90

Building Retail Manufacturing Unstructured Data 90

Tweag

APRIL 19, 2023

To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale. A single hospital makes many captures a day, producing terabytes of such data to store and process. Much like Spark, its module ray.data is focused on loading and processing data as scale. width , spec.

Medical 60

Medical Process Cloud Bytes 60

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Data could inform subtle improvements, like the shade of a button on the website, or how to influence a customer’s buying process on an e-commerce site. . Conclusion.

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Manufacturing Insurance Consulting Education 108

Cloudera

JANUARY 20, 2021

This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Data Enrichment – data pipeline processing, aggregation & management to ready the data for further refinement. Fig 1: The Enterprise Data Lifecycle. Data Collection Challenge.

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Manufacturing Data Warehouse Kafka Retail 106

Knowledge Hut

APRIL 26, 2024

Data science and its associated fields use algorithms, processes, and other modern tools and techniques to draw insights from vast amounts of structured and unstructured data. The above are the basic datasets to get started with the Natural Language Processing.

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Datasets Machine Learning Deep Learning Finance 98

Knowledge Hut

MARCH 29, 2024

This blog post is all about product prototyping, and I'm goin g to delve deep into this topic as we go along with the discussion on various aspects of it. Prototyping helps in refining and validating the design and functionality of a product, serving as a crucial step in our product development process.

Manufacturing 52

Manufacturing Electronics Software Engineer Software Engineering 52

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. By leveraging the power of natural language processing, LLMs can bring customer experiences to the next level. Whether you missed the event this year (there’s always Summit 2024 !) Watch the session.

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Entertainment Manufacturing Retail Media 57

RandomTrees

APRIL 29, 2024

GenAI includes the convergence of machine learning, deep learning, computer vision, natural language processing, and robotics, among other disciplines. AI has risen as the stepping stone of innovation, which enables manufacturers to enhance vehicle safety, efficiency, and user experience.

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Transportation Manufacturing Algorithm Machine Learning 52

Knowledge Hut

OCTOBER 27, 2023

In this blog, we will cover the top 5 data science projects in python you could do to elevate your skills and knowledge in this competitive Data Science market. Additionally having features like sensor type, brand, manufacturer, buying date, etc., Manual control of such processes is prone to bias and are less generic in nature.

Data Science 52

Data Science Python Project Manufacturing 52

Cloudera

MAY 24, 2021

Research and real-life experience from Accenture shows that many manufacturers get stuck early on or can’t get beyond proof-of-concept pilots to scale. Pushing past the unforeseen roadblocks takes a tried-and-true combination of process, technology, and people, along with a future-forward vision. Focus on the End Goal and Think Big.

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Manufacturing Data Ingestion Finance Cloud 72

Knowledge Hut

MARCH 26, 2024

Stay tuned to gain a comprehensive understanding of quality manager duties and the roles and job responsibilities of quality managers in this blog post. They work closely with cross-functional teams to optimize processes, resolve quality issues, and enhance product quality and customer satisfaction. Who is the Quality Manager?

Management 52

Management Manufacturing Data Analysis Certification 52

DataKitchen

APRIL 11, 2024

Statistical Process Control in Data Operations: Gil touched upon applying statistical process control techniques to data operations to monitor and control data quality and process performance. The goal is to reduce errors and operational overhead, allowing data teams to focus on delivering value.

Manufacturing 62

Manufacturing High Quality Data Data Pipeline Data 62

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Snowflake

MAY 9, 2024

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). This blog highlights three key gen AI trends the two AI leaders see emerging.

Unstructured Data 87

Unstructured Data Manufacturing Retail Data Warehouse 87

Edureka

APRIL 24, 2024

This data can be retrieved from anything – books, blogs, pictures or images. Whether you are a corporate employee, solopreneur or freelancer, you can always utilise generative AI to enhance your work processes. 3D Modelling Generative AI has greatly simplified the process of 3D modelling.

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Pharmaceutical Manufacturing Datasets Algorithm 52

Knowledge Hut

OCTOBER 23, 2023

It allows users to access and modify system files and settings that the device manufacturer typically restricts. Rooting is often compared to jailbreaking on iOS devices, as both processes aim to bypass the limitations imposed by the device's operating system. If it is, the app will proceed with the rooting process.

Manufacturing 52

Manufacturing Accessible Accessibility Systems 52

Knowledge Hut

MARCH 20, 2024

In this blog, I have outlined all the details necessary to understand ‘How to become a robotics engineer?’ As a robotics engineer, you can create robotic applications for a variety of industries, including the automotive, aerospace, manufacturing, defense, and medical fields. A successful process concludes with a job offer.

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Engineering Portfolio Programming Language Manufacturing 52

Cloudera

MAY 4, 2022

AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction. In simple terms an AI process can out-perform a human at very specific tasks. Process acceleration.

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Insurance Retail Finance Medical 129

FreshBI

DECEMBER 7, 2023

It is helpful to remember that the investment that you made into your ERP and supporting systems were large investments and they promised to optimize and control the processes in your business. For manufacturing, it is crucial to tighten the reign on input costs, optimize the timing of manufacturing and plan capacity in a scientific manner.

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Banking Management Manufacturing Consulting 59

Cloudera

AUGUST 17, 2023

Passengers would need to trust that the manufacturing process was as rigorous as the design process. However, issues arise when authors that lack a rigorous process compile their code into machine language, aka binaries. The post How to Ensure Supply Chain Security for AI Applications appeared first on Cloudera Blog.

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Manufacturing Finance Python Banking 71

Knowledge Hut

MARCH 13, 2024

This blog post will dive into both the negative sides of AI's influence on employment. For example AI is now capable of processing and analyzing volumes of data potentially reducing the necessity for manual data entry by humans. Assembly Line Workers: In manufacturing, automation targets tasks on assembly lines.

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Manufacturing Education Transportation Insurance 52

DataKitchen

DECEMBER 30, 2020

Full disclosure: some images have been edited to remove ads or to shorten the scrolling in this blog post. In June of 2020, CRN featured DataKitchen’s DataOps Platform for its ability to manage the data pipeline end-to-end combining concepts from Agile development, DevOps, and statistical process control: DataKitchen.

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Manufacturing Big Data Data Pipeline Data Science 96

Knowledge Hut

DECEMBER 21, 2023

In this blog, we will discuss the top 10 Internet of Things research topics and ideas for 2024. IoT: Overview IoT has numerous applications in various sectors such as healthcare, agriculture, transportation, manufacturing, and smart cities. If you want to know more about IoT, check out online IoT training.

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Coding Transportation Medical Hospitality 98

Workfall

SEPTEMBER 18, 2023

In this blog, we’re diving into the world of data integration with Airbyte, unraveling the mystery behind its simplicity, and uncovering how it seamlessly connects with Snowflake to transform your data into actionable insights. In this blog, we will cover: What is Airbyte? With Airbyte, those nightmares become distant memories.

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Data Pipeline Raw Data Data Schemas Healthcare 93

Cloudera

FEBRUARY 8, 2021

Model accuracy is enabled by more accurate data collection and more accurate labeling and annotation, while the data reduction was achieved with a relevant selection of data for training and the ability to process and encode connected vehicle sensor data. . In summary, this is an exciting time. In addition, join us for industry 4.0-

Manufacturing 107

Manufacturing Machine Learning Data Ingestion Electronics 107

Snowflake

APRIL 10, 2023

Discover how Snowflake’s Data Cloud is helping semantic processing platform, semantha, reach its full potential—with Accenture’s support. semantha is a semantic processing platform that understands and processes human language—at astonishing scale and speed. From there, we can process information not unlike how humans do.

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Unstructured Data Manufacturing Insurance Government 56

Knowledge Hut

DECEMBER 26, 2023

The main benefits and drawbacks of blockchain technology will be covered in this blog. As a result, processes are made simpler, including ownership transfers, production process assurance, and payments. While there are currently worldwide payment processing systems like PayPal, they often have some restrictions.

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Technology Food Manufacturing Banking 52

Engineering at Meta

MARCH 20, 2024

There are no universal definitions for low, mid, and high networks, but for the purpose of this blog post, less than 300 Kbps will be considered as low, 300-800 Kbps as mid, and above 800 Kbps as a high, HD-capable, or high-end network. Codec licensing (and concurrent fees) was an important aspect in our decision-making process.

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Algorithm Manufacturing Media Coding 86

Knowledge Hut

MARCH 29, 2024

Automation engineers play a critical role in today’s technology-driven job market, as they focus on enhancing efficiency and optimizing processes. Because of the high demand in several industries for designing, creating, testing, and maintaining software systems to automate various operations and processes, they get higher salaries.

Software Engineer 52

Software Engineer Software Engineering Engineering Manufacturing 52

Scott Logic

SEPTEMBER 27, 2023

In short, operational carbon is the total carbon emissions released to keep a process, product or service (such as a piece of software) functioning whereas embodied carbon is the carbon emissions released to get a product or service (such as software) into its operational state (for example: development, maintenance & decommission).

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Manufacturing Media Building Cloud 52

DataKitchen

MARCH 8, 2023

Data Observability must be a top priority, and the team must have robust processes to ensure the data is correct and free from corruption. Like in product manufacturing, finding and reducing errors are the keys to data and analytics manufacturing success. BI tools like Tableau, PowerBI, etc.).

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Manufacturing Education Data Analytics Raw Data 52

Cloudera

AUGUST 31, 2020

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. Take a malfunctioning machine producing faulty goods in a manufacturing plant.

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Insurance Manufacturing Retail Banking 97

Workfall

JUNE 12, 2023

Imagine businesses across diverse industries – from finance to healthcare, manufacturing to retail – feverishly generating vast volumes of data and information. In this blog, we will cover: What Is CDC and Its Benefits? CDC also plays a crucial role in data integration and ETL processes.

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Telecommunication Metadata Healthcare Finance 80

Databand.ai

AUGUST 30, 2023

To maintain data integrity, organizations implement various processes and controls, such as data validation, access controls, backups, and audits. In industries such as healthcare, finance, and manufacturing, the importance of data accuracy and data integrity is even more pronounced.

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