Attivio

JUNE 8, 2015

Featuring self-service data discovery acceleration capabilities, this new solution solves a major issue for business intelligence professionals: significantly reducing the tremendous amount of time being spent on data before it can be analyzed.

Business Intelligence 40

Business Intelligence Big Data Data Discovery Data Scientist 40

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time.

Business Intelligence 302

Business Intelligence ETL Big Data 302

Analytics Vidhya

DECEMBER 23, 2022

Source: [link] Introduction In today’s digital world, data is generated at a swift pace. Data in itself is not useful unless we present it in a meaningful way and derive insights that help in making key business decisions. Business Intelligence (BI) tools serve the […].

Business Intelligence 271

Business Intelligence Data Science Big Data 271

IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality 130

Data Quality Metadata ETL Big Data 130

Becoming Human

JANUARY 23, 2023

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science.

Data Science 92

Data Science Big Data Data Mining Computer Vision 92

ODSC - Open Data Science

SEPTEMBER 27, 2023

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. As a result, data lakes can accommodate vast volumes of data from different sources, providing a cost-effective and scalable solution for handling big data.

Big Data 98

Big Data Metadata ETL Business Intelligence 98

deepsense.ai

MAY 8, 2023

In his talk, Maksymilian will explore the potential of GPT, discuss the advantages and limitations, and present insights into how GPT can be used to enhance the work of human data analysts. Currently, Data Community Poland is the official organizer of the conference.

Data Analysis 52

Data Analysis Big Data Data Platform Business Intelligence 52

Pickl AI

JANUARY 23, 2024

With the Business Analytics market poised to reach new heights, from USD 43.9 billion by 2032 , a Master’s in Business Analytics will equip you for a future. Previously, you learned the difference between Business Intelligence and Business Analytics. billion in 2023 to an estimated USD 84.39 ’ question.

Data Scientist 52

Data Scientist Business Intelligence Machine Learning Big Data 52

Marktechpost

JUNE 29, 2023

The top business intelligence solutions make finding insights into data and effectively communicating them to stakeholders easier. However, most of this information is siloed and can only be put together with the help of specialized business intelligence (BI) tools.

Business Intelligence 98

Business Intelligence Machine Learning Data Analysis Natural Language Processing 98

IBM Journey to AI blog

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads.

Big Data Engineer 144

Big Data Engineer Big Data Business Intelligence Artificial Intelligence 144

ODSC - Open Data Science

FEBRUARY 8, 2023

Big Data here is a fundamental part of the scenario as it enables the technical integration of data from all digital environments along the customer path. BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database.

Big Data 97

Big Data Business Intelligence Data Mining Data Science 97

Pickl AI

AUGUST 1, 2023

Data Pipeline Orchestration: Managing the end-to-end data flow from data sources to the destination systems, often using tools like Apache Airflow, Apache NiFi, or other workflow management systems. It’s an excellent resource for understanding distributed data management.

Big Data 52

Big Data Data Analysis Data Scientist Data Ingestion 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 216

Data Science Data Scientist Machine Learning Data Mining 216

Pickl AI

JUNE 29, 2023

It initiates the collection, indexing, and analysis of machine-generated data in real-time. The tool is loaded with features, thus making it a popular choice for businesses. It helps harness the power of big data and turn it into actionable intelligence. Wrapping it up !!!

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52

ODSC - Open Data Science

JUNE 1, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? With augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise.

ML 52

ML Big Data Data Scientist Generative AI 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

In today’s digital world, data is king. Organizations that can capture, store, format, and analyze data and apply the business intelligence gained through that analysis to their products or services can enjoy significant competitive advantages. But, the amount of data companies must manage is growing at a staggering rate.

Big Data 52

Big Data ETL Data Science Data Ingestion 52

Pickl AI

JULY 18, 2023

Its speed and performance make it a favored language for big data analytics, where efficiency and scalability are paramount. SAS: Analytics and Business Intelligence SAS is a leading programming language for analytics and business intelligence. Q: What are the advantages of using Julia in Data Science?

Data Science 52

Data Science Data Scientist Python Business Intelligence 52

Mlearning.ai

SEPTEMBER 5, 2023

Modern organizations rely heavily on business intelligence (BI) tools to consolidate and analyze data. Here are some of the major pitfalls of traditional BI approaches: Information Loss : Consolidating data from multiple sources inevitably leads to a loss of granularity. First, automated insight detection.

Business Intelligence 52

Business Intelligence Automation AI AI 52

IBM Journey to AI blog

DECEMBER 16, 2022

And because data assets within the catalog have quality scores and social recommendations, Alex has greater trust and confidence in the data she’s using for her decision-making recommendations. This is especially helpful when handling massive amounts of big data. Protected and compliant data.

Metadata 130

Metadata Data Quality Data Discovery Automation 130

ODSC - Open Data Science

JULY 24, 2023

I’mCloud Established in 2014, I’mCloud has worked to raise capital and become the 4th leading company in AI and big data in South Korea. These include digital marketing, ai, mobile apps, and web technologies. Part of their offers are high-quality AI-powered chatbots they construct for their clients.

Data Science 52

Data Science Automation Chatbots AI 52

Pickl AI

FEBRUARY 28, 2023

However, Data Scientists use tools like Python, Java, and Machine Learning for manipulating and analysing data. Significantly, in contrast, Data Analysts utilise their proficiency in a relational databases, Business Intelligence programs and statistical software.

Data Scientist 52

Data Scientist Data Mining Data Science Machine Learning 52

Dlabs.ai

AUGUST 31, 2021

AI & Big Data Expo Global Date: September 6-7th Place: London (virtual show runs 13th-15th Sept) Ticket: Free to 999 GBP The AI & Big Data Expo Global gives attendees a space to explore and discover new ways to implement AI and big data. Let’s go!

Computer Vision 52

Computer Vision Big Data Deep Learning Data Science 52

IBM Journey to AI blog

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Convolutional Neural Networks 150

Convolutional Neural Networks Data Mining Categorization Machine Learning 150

Pickl AI

MARCH 22, 2023

Additionally, the company stands as one of the top Data Science listed companies in India, with Data Scientists earning between Rs 9 Lakhs to Rs 23.4 Crayon Data Crayon is one of the fastest growing Data Science listed companies in India which caters to the market of Big Data and Artificial Intelligence, simplifying world choices.

Data Science 52

Data Science Data Scientist Big Data Artificial Intelligence 52

Pickl AI

FEBRUARY 14, 2023

Accordingly, products cater to real-time computation and control while storing big data and transmission. Crux Intelligence Crux is an online platform that provides efficient AI-based solutions for its clients in rapidly transforming data into valuable information.

BERT 52

BERT Artificial Intelligence Artificial Intelligence AI 52

Viso.ai

NOVEMBER 19, 2023

It is useful for various tasks related to machine learning, deep learning, data management, Natural Language Processing (NLP) , etc. Infosys Nia provides companies with the opportunity to leverage AI on existing big data, by automating repetitive tasks and scheduled responsibilities. You can schedule a demo with an Observe.AI

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

Pickl AI

MAY 8, 2023

The strategic partnerships allow Accenture to achieve its digital transformation goals and enhance business operations effectively. Read Blog: How does Facebook use Big Data? Moreover, its collaborations have helped to ensure that customer relations and marketing and sales operations are able to grow with higher efficiency.

Big Data 52

Big Data Machine Learning Automation AI 52

Pickl AI

JANUARY 16, 2024

Trends in Data Analytics career path Trends Key Information Market Size and Growth CAGR Big Data Analytics Dealing with vast datasets efficiently. Cloud-based Data Analytics Utilising cloud platforms for scalable analysis. Quantum Computing Awareness Awareness of quantum computing’s potential impact.

Data Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

Unite.AI

DECEMBER 5, 2023

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing!

Metadata 162

Metadata Big Data ETL Data Ingestion 162

Analytics Vidhya

JUNE 27, 2020

Overview There are a plethora of data science tools out there – which one should you pick up? The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya. Here’s a list of over 20.

Data Science 400

Data Science Machine Learning Big Data Business Intelligence 400

Pickl AI

MARCH 16, 2023

Most of the in-demand technologies like data science, blockchain, big data, and artificial intelligence have some role in Excel. By taking the time to learn and practice them, you can save a lot of time and reduce the risk of errors in your work.

Data Science 52

Data Science Big Data Data Analysis Artificial Intelligence 52

ODSC - Open Data Science

FEBRUARY 15, 2024

This skill is incredibly useful in numerous applications where large volumes of unstructured data need to be analyzed and organized, such as in legal document analysis, academic research, and business intelligence.

Large Language Models 52

Large Language Models LLM Robotics Data Science 52

Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction First of all, we are surrounded by data in day-to-day. The post Data Engineering – Concepts and Importance appeared first on Analytics Vidhya.

Data Science 323

Data Science Big Data Business Intelligence 323

Analytics Vidhya

NOVEMBER 24, 2020

Introduction One of the common queries I come across repeatedly on several forums is “Should I become a data scientist (or an analyst)?” The post Should I become a data scientist (or a business analyst)? ” The. appeared first on Analytics Vidhya.

Data Scientist 315

Data Scientist Big Data Business Intelligence Data Science 315

Pickl AI

APRIL 26, 2024

A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics. Explain the Extract, Transform, Load (ETL) process.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

IBM Journey to AI blog

JULY 24, 2023

IT operations analytics (ITOA) vs. observability ITOA and observability share a common goal of using IT operations data to track and analyze how a system is performing to improve operational efficiency and effectiveness. It aims to understand what’s happening within a system by studying external data.

DevOps 153

DevOps Automation Big Data Data Mining 153

Artificial Corner

JUNE 6, 2023

Timeline of data engineering — Created by the author using canva In this post, I will cover everything from the early days of data storage and relational databases to the emergence of big data, NoSQL databases, and distributed computing frameworks.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52