Cloudera

FEBRUARY 7, 2023

To advance these efforts, banks are increasingly turning to data, data analytics, and machine learning (ML) and artificial intelligence (AI) to better understand and serve the financial needs of underserved communities. The post How Banks are Using Technologies to Help Underserved Communities appeared first on Cloudera Blog.

Banking 75

Banking Technology Insurance Unstructured Data 75

Data Engineering Podcast

FEBRUARY 27, 2022

As organizations start to adopt cloud technologies they need a way to manage the distribution, discovery, and collaboration of data across their operating environments. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Unstructured Data 100

Unstructured Data Cloud Management Metadata 100

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Unstructured Data Data Architecture Government 112

RandomTrees

SEPTEMBER 27, 2024

A cloud-based software as a service (SaaS) called Microsoft Fabric combines several data and analytics technologies that businesses require. Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Knowledge Hut

MARCH 19, 2024

After completing computer science studies, data science has become a popular career choice for graduates. However, some people in the sector may wonder how to get from data science to software engineering. Data scientists frequently switch to machine learning engineering positions.

Software Engineer 52

Software Engineer Software Engineering Engineering IT 52

Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Unstructured Data 92

Unstructured Data Pharmaceutical Banking Manufacturing 92

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Atlan is the metadata hub for your data ecosystem. Data lineage and metadata systems are a hot topic right now.

IT 100

IT Metadata MongoDB MySQL 100

AltexSoft

MAY 27, 2021

The documents often come in semi-structured and unstructured data formats, which makes them difficult to process quickly and accurately. We’ll explain the essence of IDP, guide you through its key stages, and provide real-life examples of the technology use. IDP heavily relies on such ML-driven technologies as.

Technology 64

Technology Process Insurance Medical 64

Snowflake

NOVEMBER 11, 2024

Customers such as Avios, CHG Healthcare and Keysight Technologies are already developing container-based models in Snowflake ML. Snowflake will be introducing new multimodal SQL functions (private preview soon) that enable data teams to run analytical workflows on unstructured data, such as images. Learn more.

Unstructured Data 52

Unstructured Data SQL AWS Healthcare 52

Knowledge Hut

NOVEMBER 18, 2023

It is fruitful for you to learn how to implement this technology successfully and use it to fulfill desired targets. This is the reason why companies have started making a switch to this latest technology. Mere learning about artificial intelligence wouldn’t be enough! What Is Artificial Intelligence?

Algorithm 52

Algorithm IT Computer Science Unstructured Data 52

Knowledge Hut

SEPTEMBER 22, 2023

They also collaborate with other Azure technologies to develop, deploy, and manage data pipelines and data-driven applications, such as Azure Functions, Azure Kubernetes Service, and Azure DevOps. Is Azure Data Engineer Certification Worth It? They have the option of working remotely or on-site full-time.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Knowledge Hut

NOVEMBER 16, 2023

Moreover, the excitement to work with new technology and to embark on learning paths every day fuels the rising demand for IT jobs, not to forget the role of digitalization in this technology boost. Their main responsibilities include processing data, identifying valuable data sources, combining models, integrating data, etc.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

Data Engineering Podcast

JUNE 26, 2022

In this episode Isaac Brodsky explains how the Unfolded platform is architected, their experience joining the team at Foursquare, and how you can start using it for analyzing your spatial data today. Atlan is the metadata hub for your data ecosystem. Unstruk is the DataOps platform for your unstructured data.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

Snowflake

APRIL 20, 2023

LLMs have the potential to help both developers and less-technically inclined users make sense of the world’s data. Protecting sensitive or proprietary data such as source code, PII, internal documents, wikis, code bases, and other sensitive data sets, along with prompts, used to contextualize the LLMs is particularly important.

Building 116

Building Unstructured Data Government Coding 116

Data Engineering Weekly

OCTOBER 11, 2024

The data world is abuzz with speculation about the future of data engineering and the successor to the celebrated modern data stack. While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent.

Manufacturing 109

Manufacturing Transportation Data Warehouse Unstructured Data 109

Snowflake

MARCH 19, 2024

Since the explosion of interest in generative AI and large language models (LLMs), that is more true than ever, with business leaders discussing how quickly they should adopt these technologies to stay competitive. Strong data governance is essential to meet security and compliance obligations, but it is often regarded as a hindrance.

Data Governance 120

Data Governance Government Unstructured Data Programming Language 120

Monte Carlo

FEBRUARY 12, 2024

Organizations are racing to deploy generative AI applications to unlock new sources of value and stave off potential disruptors as this transformative technology takes hold. Today, this first-party data mostly lives in two types of data repositories. This is one way to think about how to translate concepts between the two.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Knowledge Hut

JUNE 23, 2023

By becoming more contextual and continuous, analytics should also become more flexible, owing to ML and AI technologies. The key advantage of adaptive analytics is that businesses can make choices based on real-time data with incredibly high accuracy What is Real-time Analytics? Who Uses Real-time Data Analytics?

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Snowflake

JULY 25, 2024

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. Solving the challenges of building high-quality RAG applications From the beginning, Snowflake’s mission has been to empower customers to extract more value from their data.

Unstructured Data 111

Unstructured Data Metadata Government SQL 111

Jesse Anderson

SEPTEMBER 14, 2023

Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. Even at the height of the big data craze, the general public wasn’t as excited about it. The metric I use for technology adoption is, what would people say if it were to disappear tomorrow? Is it here to stay?

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

Data Engineering Podcast

JUNE 19, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Also, we’ll introduce you to the popular Big Data analytics tools and existing use cases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Rockset

APRIL 18, 2023

Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Comprehending and understanding how to leverage unstructured data has remained challenging and costly, requiring technical depth and domain expertise.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Cloudera

AUGUST 21, 2024

The Awards showcase IT vendor offerings that provide significant technology advances – and partner growth opportunities – across technology categories including AI and AI infrastructure, cloud management tools, IT infrastructure and monitoring, networking, data storage, and cybersecurity.

Unstructured Data 65

Unstructured Data Business Intelligence Data Architecture Data Warehouse 65

Monte Carlo

JULY 15, 2024

We recently spoke with Killian Farrell , Principal Data Scientist at insurance startup AssuranceIQ to learn how his team built an LLM-based product to structure unstructured data and score customer conversations for developing sales and customer support teams. Tens of thousands per day in fact. And lots of it.

Unstructured Data 52

Unstructured Data Insurance Data Lake Structured Data 52

Snowflake

NOVEMBER 1, 2023

They can also use and leverage Snowflake’s unified governance framework to seamlessly secure and manage access to their data. Cost-effective LLM-based models that are great for working with unstructured data: Answer Extraction (in private preview): Extract information from your unstructured data.

Unstructured Data 108

Unstructured Data SQL Python Accessible 108

Snowflake

SEPTEMBER 19, 2023

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics. Some takeaways?

Machine Learning 98

Machine Learning Unstructured Data Data Analytics Government 98

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. Data comes in many forms.

Cloud 98

Cloud Data Governance Unstructured Data Data Architecture 98

Snowflake

SEPTEMBER 26, 2024

There’s no question which technology everyone’s talking about in retail. Most companies know they need better data to make that happen, but they struggle with making it available, trusted and accessible — not to mention handling complex data, like images, videos and unstructured data.

Retail 77

Retail Cloud Unstructured Data Deep Learning 77

Precisely

SEPTEMBER 6, 2023

To truly succeed in an increasingly data-driven world, organizations need data governance. Data governance is the formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset. The same does not hold true for unstructured data.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Cloudera

MARCH 17, 2023

ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology. However, caution is necessary when delving deeper into a particular technology. ChatGPT is trained on historical data and depending on how one phrases their question, it may offer inaccurate or misleading information.

Education 64

Education Unstructured Data Data Lake Data Warehouse 64

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Use cases change, needs change, technology changes – and therefore data infrastructure should be able to scale and evolve with change.

Data Lake 94

Data Lake Data Warehouse Cloud Unstructured Data 94

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Knowledge Hut

APRIL 23, 2024

For an organization, it is essential to know the difference between business intelligence and data science to make fair use of both and ensure significant growth. Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques.

Business Intelligence 52

Business Intelligence Data Science BI Unstructured Data 52

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). It’s already having a real-world impact. “It’s

Unstructured Data 96

Unstructured Data Manufacturing Retail Data Warehouse 96