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

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 110

IT Unstructured Data Data Architecture Government 110

Towards Data Science

AUGUST 10, 2023

Still, generating a recipe for lasagna is an entirely different process than infusing generative AI capabilities across a business or integrating large language models (LLMs) into data engineering workflows. Change is coming, but what will the impacts be for how organizations approach data and what hurdles still need to be overcome?

IT 79

IT Unstructured Data SQL BI 79

Data Engineering Podcast

NOVEMBER 27, 2022

This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. The Arrow project is designed to eliminate wasted effort in translating between languages, and Voltron Data was created to help grow and support its technology and community.

Data Process 100

Data Process Process Metadata Business Intelligence 100

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

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. Quality : Is the data itself anomalous?

Database 72

Database Unstructured Data Data Pipeline Metadata 72

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. Now, these tasks get completed in a well-structured process, and this is where the best AI algorithms come into the picture.

Algorithm 52

Algorithm IT Computer Science Unstructured Data 52

Knowledge Hut

JULY 24, 2023

The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. As data generation continues to skyrocket, the demand for real-time decision-making, data processing, and analysis increases. According to recent studies, the global database market will grow from USD 63.4

Database 52

Database SQL Process NoSQL 52

Knowledge Hut

SEPTEMBER 22, 2023

The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services. 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

AUGUST 9, 2023

Still, generating a recipe for lasagna is an entirely different process than infusing generative AI capabilities across a business or integrating large language models (LLMs) into data engineering workflows. Change is coming, but what will the impacts be for how organizations approach data and what hurdles still need to be overcome?

IT 52

IT Unstructured Data SQL BI 52

Data Engineering Podcast

SEPTEMBER 14, 2020

On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems. How is Hazelcast implemented?

Process 100

Process Unstructured Data Metadata Data Engineering 100

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

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

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

Snowflake

MARCH 7, 2024

In this blog post, we’ll walk through what the actual capabilities of LLMs are, and the steps financial organizations should take to harness this technology effectively and safely. How do Gen AI/LLMs “democratize” access to insights? and synthesize content in a short period of time and to a very reasonable accuracy. So what are the benefits?

Unstructured Data 83

Unstructured Data Government Data Architecture Architecture 83

Snowflake

MARCH 18, 2024

This time it’s all about ensuring that the data and the platform where it’s processed are ready for the new AI models. But there’s still a long way to go in an environment where the volume, velocity and complexity of data and data types is constantly increasing. And it’s not just any type of data.

Unstructured Data 87

Unstructured Data Government Data Pipeline Cloud 87

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.

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Datasets Unstructured Data Metadata MongoDB 130

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

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Order of process phases. What is ELT? ELT vs ETL.

Process 52

Process Building Raw Data Data Lake 52

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

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 117

Building Unstructured Data Government Coding 117

AltexSoft

OCTOBER 25, 2021

“AI is technology’s most important priority, and health care is its most urgent application,” said Microsoft’s CEO Satya Nadella announcing the company’s new acquisition. What is Natural Language Processing? This allows machines to extract value even from unstructured data. Nuance, acquired for $19.7 Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 52

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

Knowledge Hut

APRIL 23, 2024

Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions.

Scala 98

Scala Hadoop Healthcare Big Data 98

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

JANUARY 8, 2024

As an industry built on data, financial services has always been an early adopter of AI technologies. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology. Insurance agents can use LLMs to analyze administrative data and accelerate claims processing.

Unstructured Data 83

Unstructured Data Government Portfolio Insurance 83

Knowledge Hut

MAY 23, 2024

Do you become a data scientist or Full stack developer? In this blog post, we will help you to make that decision by highlighting the key differences between data science and Full stack development by comparing data scientist vs full stack developer. It is the combination of statistics, algorithms and technology to analyze data.

Computer Science 98

Computer Science Java Data Science Certification 98

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 95

Machine Learning Unstructured Data Data Analytics Government 95

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. And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Snowflake

OCTOBER 11, 2023

As technological landscapes shift, startups are seeing new paradigms emerge that hold enormous potential for future growth. The growing role of data science in the modern business Today’s businesses are facing an unprecedented expansion of unstructured data that can permeate every department in an organization.

Unstructured Data 103

Unstructured Data Cloud Data Science Finance 103

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 106

Unstructured Data SQL Python Accessible 106

Tweag

APRIL 19, 2023

In particular oncology, a branch of medicine that focuses on cancer, could benefit immensely from these new technologies, which may enable clinicians to detect cancer earlier and increase chances of survival. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale.

Medical 60

Medical Process Cloud Bytes 60

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. BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data.

Pipeline-centric 126

Pipeline-centric Food Healthcare Unstructured Data 126

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 94

Unstructured Data Manufacturing Retail Data Warehouse 94

Knowledge Hut

APRIL 26, 2024

Datasets are often related to a particular type of problem and machine learning models can be built to solve those problems by learning from the data. Every problem statement we are dealing with comprises of data, which helps us better understand the problem and draw better insights from data by applying ML methods.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

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.

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Data Governance Big Data Government Unstructured Data 52