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 81

Banking Technology Insurance Unstructured Data 81

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 120

Building Unstructured Data Government Coding 120

Data Engineering Podcast

JUNE 26, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data. The options for ingesting, organizing, and curating unstructured files are complex, expensive, and bespoke.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130

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 98

Unstructured Data Pharmaceutical Banking Manufacturing 98

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 122

Data Governance Government Unstructured Data Programming Language 122

KDnuggets

SEPTEMBER 23, 2019

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

Unstructured Data 93

Unstructured Data Machine Learning Data Technology 93

Data Engineering Podcast

JUNE 19, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data. The options for ingesting, organizing, and curating unstructured files are complex, expensive, and bespoke.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

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

Jesse Anderson

SEPTEMBER 14, 2023

The metric I use for technology adoption is, what would people say if it were to disappear tomorrow? I think LLMs will allow the majority to get stupider, like in Idiocracy , while a gradually decreasing population will benefit and exploit AI (and technology in general). Using LLMs to process unstructured data is amazing.

Data Engineer 147

Data Engineer Data Engineering Engineering NoSQL 147

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 111

Unstructured Data SQL Python Accessibility 111

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 115

Unstructured Data Metadata Government SQL 115

Snowflake

NOVEMBER 11, 2024

GPU-based model development and deployment: Build powerful, advanced ML models with your preferred Python packages on GPUs or CPUs serving them for inference in containers — all within the same platform as your governed data. A single integration endpoint simplifies the application architecture.

Unstructured Data 82

Unstructured Data SQL AWS Healthcare 82

Snowflake

SEPTEMBER 19, 2023

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. Ahmad has not only witnessed the emergence of AI in the data space but helped shape it throughout his career. AI unlocks new data use cases. Some takeaways?

Machine Learning 101

Machine Learning Unstructured Data Data Analytics Government 101

Monte Carlo

NOVEMBER 26, 2024

Operational use cases were rising to the surface, technology was reducing barriers to entry, and general artificial intelligence was obviously right around the corner. Small data is the future of AI (Tomasz) 7. The lines are blurring for analysts and data engineers (Barr) 8. The unstructured data stack will emerge (Barr) 10.

Data Engineer 59

Data Engineer Data Engineering Engineering Unstructured Data 59

Cloudera

DECEMBER 11, 2020

These include the use of more data sources to gain insights and how cloud technologies can assist with digital transformation goals to be more agile and achieve objectives more quickly. Data Variety. Insurance and finance are two industries that rely on measuring risk with historical data models.

Insurance 100

Insurance Unstructured Data Finance Machine Learning 100

Data Engineering Weekly

OCTOBER 11, 2024

Centralized factories and monolithic data systems became too rigid and expensive to scale, unable to cope with the increasing complexity of manufacturing and the explosion of diverse, unstructured data in the digital age. Please feel free to connect with me at [link] or schedule a time to chat through [link].

Manufacturing 111

Manufacturing Transportation Data Warehouse Unstructured Data 111

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

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 104

Cloud Data Governance Unstructured Data Data Architecture 104

Team Data Science

FEBRUARY 23, 2021

If you ever have to explain to friends or colleagues why data capabilities are crucial to navigating the future of work and innovation, try this storytelling tactic. Briefly narrate the modern history of digital technology in these few easy steps. This is digitalization in the making [ , 7 ].

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

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. The future is hybrid data, embrace it.

IT 118

IT Unstructured Data Data Architecture Government 118

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 97

Data Lake Data Warehouse Cloud Unstructured Data 97

Cloudera

FEBRUARY 8, 2021

Phil Magney, founder and president of VSI Labs , and former Co-Founder of the Telematics Research Group said this about The Fusion Project, “Automakers are constantly challenged with implementing complex technologies such as those required for the next phase of advanced ADAS and autonomous vehicle features. challenges.

Manufacturing 113

Manufacturing Machine Learning Data Ingestion Electronics 113

Snowflake

APRIL 8, 2024

In fact, 8 of the 10 startups in our semi-finalist list plan to use one or both of these technologies in their offerings. It deploys gen AI components as containers on Snowpark Container Services, close to the customer’s data.

Pipeline-centric 129

Pipeline-centric Food Healthcare Unstructured Data 129

Data Engineering Podcast

JUNE 12, 2022

Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Unstruk is the DataOps platform for your unstructured data. The options for ingesting, organizing, and curating unstructured files are complex, expensive, and bespoke.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Cloudera

JULY 29, 2021

Public, private, hybrid or on-premise data management platform. Structure for unstructured data sources such as clinical & physician notes, photos, etc. Security and governance in a hybrid environment. Analytics that are simple to use and manage for actionable insights.

Healthcare 105

Healthcare Unstructured Data Government Machine Learning 105

Cloudera

OCTOBER 28, 2021

In reality, we are way ahead in the use of data (possibly hundreds of years ahead!), but behind in our use of tools and technology to manage the data optimally to get the most value out of it. The amount, diversity, accuracy and timeliness of data is enormously better than in the early days of Lloyds.

Insurance 102

Insurance Transportation Unstructured Data Manufacturing 102

Edureka

JUNE 7, 2024

In this article, we will take a closer look at two of the most talked about and widely used AI technologies of 2024 – generative AI and predictive AI. Table of Contents Generative AI vs Predictive AI – Comparison Table Generative AI 101: A Revolutionary Cocktail of Technology and Art How Does Generative AI Work?

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 93

Insurance Banking Data Architecture Data Ingestion 93

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Generalist 120

Generalist Telecommunication Healthcare Data Science 120

Data Engineering Podcast

FEBRUARY 24, 2019

Summary Deep learning is the latest class of technology that is gaining widespread interest. As data engineers we are responsible for building and managing the platforms that power these models. As data engineers we are responsible for building and managing the platforms that power these models.

Deep Learning 100

Deep Learning Data Engineer Data Engineering Engineering 100

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. However, the bank’s federated data marts gave each business only enough data to substantiate its own business.

Unstructured Data 76

Unstructured Data Banking Machine Learning Media 76

Snowflake

MAY 9, 2024

It started when one capable model suited for text gained mainstream attention, and now, less than 18 months later, there is a long list of commercial and open-source gen AI models are now available, alongside new multimodal models that also understand images and other unstructured data. It’s already having a real-world impact. “It’s

Unstructured Data 100

Unstructured Data Manufacturing Retail Data Warehouse 100

Snowflake

JANUARY 25, 2024

It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment. Introducing new technologies is integral to solving these staffing and operational inefficiency challenges.

Healthcare 94

Healthcare Hospitality Electronics Medical 94

Cloudera

OCTOBER 5, 2023

Using data effectively is the key to competing in today’s world as customer expectations continue to rise. Moving from a best guess mindset to a data driven organization requires a significant shift throughout the organization in terms of technology, processes, and culture.

Data Governance 89

Data Governance Unstructured Data Government High Quality Data 89

Snowflake

JANUARY 18, 2024

A robust, flexible architecture Snowflake’s unique architecture is designed to handle the full volume, velocity and variety of data without making manufacturers deal with downtime for upgrades or compute changes. Reliable data security Built for the cloud, Snowflake leverages the most sophisticated cloud security technologies available.

Manufacturing 93

Manufacturing Unstructured Data Cloud Architecture 93

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. Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away!

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

RandomTrees

NOVEMBER 25, 2024

The scope of telecom services is growing in size and complexity, owing to technologies such as 5G, the Internet of Things (IoT), and cloud technology. And one technology that has potential to transform the telecom sector is Generative AI , or GAI, which lies in the focus of creating new things, be it content, ideas or solutions.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52