Cloudera

DECEMBER 19, 2023

Ensure you can trust your data by using only diverse, high-quality training data that represents different demographics and viewpoints. Make sure to audit data regularly. Have plans to address issues like harmful content generation, data abuse, and algorithmic bias. Trust your data. Trust your enterprise AI.

Government 88

Government Education Unstructured Data Datasets 88

Cloudera

AUGUST 4, 2021

Data volume and variety: The platform must handle a wide variety of data types , f rom intermittent readings of sensor data (temperature, pressure, and vibrations) to unstructured data (e.g., images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

ProjectPro

FEBRUARY 16, 2023

While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. The blog will also guide you through how combining AI and BI will help improve business solutions. Tools OLAP, data visualization, reporting, and dashboards.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Edureka

JANUARY 18, 2024

It also discusses available resources and tools, and the current data science landscape. For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? I hope you understand the actual requirements of data science, so let’s take a deep dive into data science roadmap.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Knowledge Hut

MAY 9, 2024

According to Glassdoor, the average annual pay of a data scientist is USD 126,683. In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? They bridge the gap between data and software.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 73

Unstructured Data Finance SQL Media 73

Monte Carlo

OCTOBER 4, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

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. Rabobank runs sophisticated machine learning algorithms and financial models to help customers manage their financial obligations, including loan repayments. .

Unstructured Data 71

Unstructured Data Banking Machine Learning Media 71

Knowledge Hut

JANUARY 24, 2024

Much like intrepid adventurers venturing into the vast unknown, data scientists embark on a journey through the intricate maze of data, driven by the quest to unearth hidden treasures of insight. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

DECEMBER 26, 2023

This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc. This is one of the major reasons behind the popularity of data science.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays. Learning algorithms are applied in this processing system.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

U-Next

AUGUST 18, 2022

We’ll cover all you need to understand, like what does a Data Scientist do ? Can a Data Scientist work from home ? This blog encompasses their fundamental duties, Data Science specializations, or how Data Scientists work in various sectors. What Is Data Science Course?

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

OCTOBER 26, 2023

In this blog, we will show some interesting AWS project ideas for all professionals, including beginners, intermediate, and advanced. blog) easily using any of your preferred CMS. It comes with in-built ML algorithms that do not require label data and leverages semantic search to simplify tasks. Source code: GitHub 5.

AWS 52

AWS Coding Project Cloud Computing 52

Cloudera

OCTOBER 21, 2020

The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Instead of in-person appointments or walkthroughs, insurance companies may now rely on drone footage, satellite imagery, social media posts, and mobile apps that gather data on customers. And the approach extends to insurers.

Insurance 72

Insurance Unstructured Data Hospitality Media 72

Snowflake

JUNE 27, 2023

We’re going to summarize these new capabilities in this blog post. Introducing a built-in LLM with Document AI Nearly every business has unstructured data in the form of documents, but the path to valuable analytical insights from those files has been either limited to machine learning (ML) experts or siloed away from all other data.

Data Governance 57

Data Governance Unstructured Data Government SQL 57

Cloudera

FEBRUARY 8, 2021

The diagram below summarizes a dynamic machine learning life cycle in which the connected vehicles ML algorithms model accuracy is continuously improved through a fully integrated machine learning lifecycle. The post Data – the Octane Accelerating Intelligent Connected Vehicles appeared first on Cloudera Blog.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

U-Next

AUGUST 3, 2022

After understanding what Data Science is and its fundamental principles, what else do we need to discuss? What is a Data Scientist? A Data Scientist is skilled in concluding data using various systems, procedures, and algorithms. The people who have inquiries about data are known as Data Scientists.

Retail 52

Retail Data Science Computer Science Entertainment 52

Knowledge Hut

FEBRUARY 28, 2024

Ironically, there is a plethora of information out there, and it can be hard to filter through and understand the potential of Big Data online. In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. What is Big Data?

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts. Build algorithms and prototypes.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

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

Snowflake

MARCH 30, 2023

Data Vault as a practice does not stipulate how you transform your data, only that you follow the same standards to populate business vault link and satellite tables as you would to populate raw vault link and satellite tables. Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse?

Engineering 83

Engineering Raw Data Data Science Scala 83

DataKitchen

FEBRUARY 27, 2024

LLMs have the potential to revolutionize how we interact with data, automate processes, and extract insights. However, the foundation of their success rests not just on sophisticated algorithms or computational power but on the quality and integrity of the data they are trained on and interact with.

Data Engineering 46

Data Engineering Data Engineer Engineering Unstructured Data 46

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Knowledge Hut

NOVEMBER 17, 2023

After the introduction of cloud computing, the need for managing expanding data is getting more critical. But running complex algorithms on personal machines is getting challenging due to memory and computing constraints. People started leveraging the cloud's power to run complex algorithms to solve these challenges.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. This blog is here to help you understand not only the basics but also the cool new ways and tools to make your data squeaky clean.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. Role Level: Intermediate Responsibilities Data analysis using statistical methods and machine learning algorithms.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Edureka

FEBRUARY 9, 2023

As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. Want to learn more about data governance? Check out our Data Governance on Snowflake blog!

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

AltexSoft

DECEMBER 15, 2021

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Cloudera

OCTOBER 30, 2018

In this blog post, Sheryl outlines how next-gen CIP applications are delivering a better customer experience, and why businesses are relying on CIPs as their preferred path to customer insights. IT departments previously invested in MDM and data warehousing technologies to consolidate information associated with customer profiles.

Unstructured Data 42

Unstructured Data Data Lake Algorithm Machine Learning 42

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

U-Next

OCTOBER 26, 2022

The future of AI in finance is thoroughly discussed in this blog. . It mainly focuses on building systems that perform based on the input data without requiring numerous human interventions such as coding, etc. AI assesses unstructured data about potentially dangerous actions or activities in an organization’s operations.

Finance 40

Finance Portfolio Banking Algorithm 40

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. .

Government 92

Government Hadoop Data Security Data Warehouse 92

Edureka

DECEMBER 21, 2023

In this blog, you will learn about the top 8 ChatGPT competitors who are ready to take on ChatGPT: Chatsonic(WriterSonic) Chatsonic is a conversational AI developed by Writesonic, designed to excel in real-time, voice-enabled interactions. Need captivating Instagram captions or a punchy blog post intro?

Media 40

Media Education Accessible Accessibility 40

ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. It will explain what an instance of the best-in-class answers would sound like.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. You can use open-source medical datasets like CHDS (Child Health and Development Studies), HCUP, Medicare to test your machine learning algorithm. Text Processing b. Text Sequencing c.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52