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

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 Data Science 52

ODSC - Open Data Science

JULY 24, 2023

This firm is a leader in AI and NLP-powered no-code solutions that help build AI co-workers that help “automate complex people- and process-centric processes across functions.” This push for what they call “AI co-workers” allow companies to automate complex business processes that would normally keep their human employees focused.

Data Science 52

Data Science Chatbots Automation Big Data 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 188

Convolutional Neural Networks Data Mining Categorization Machine Learning 188

Viso.ai

NOVEMBER 19, 2023

Many businesses are exploring and investing in AI solutions to stay competitive and enhance their business processes. This is because AI has the ability to automate tasks and processes that would otherwise not be possible or carried out by humans. The tool can be integrated with other business intelligence software.

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

Viso.ai

JUNE 4, 2024

In retail, it is used to automate the task of stock monitoring, tracking, and self-checkouts. It is also used in the Manufacturing industry for quality control and task automation. This leads to improved business expertise and better customer experiences. Moreover, the guests can seamlessly check in and out of the hotel.

Computer Vision 52

Computer Vision Robotics Business Intelligence Automation 52

Marktechpost

JUNE 5, 2024

Analytics, management, and business intelligence (BI) procedures, such as data cleansing, transformation, and decision-making, rely on data profiling. Content and quality reviews are becoming more important as data sets grow in size and variety of sources. It has a quick and clear grasp of data quality issues.

Data Quality 115

Data Quality Metadata Data Integration ETL 115

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

Pickl AI

FEBRUARY 14, 2023

aims to build advanced insurance products and solutions for simplifying risk assessment, process automation and digitalisation to enable access to insurance. Accordingly, products cater to real-time computation and control while storing big data and transmission. Artivatic.ai Artivatic.ai

BERT 52

BERT Artificial Intelligence Artificial Intelligence 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

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 Big Data AI 52

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

MAY 8, 2023

Salesforce Salesforce is a cloud-based CRM technology firm that provides customer relationship software and applications focusing on sales, customer service and, marketing automation, e-commerce, and application development. Read Blog: How does Facebook use Big Data?

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. billion 22.32% by 2030 Automated Data Analysis Impact of automation tools on traditional roles.

Data Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Metadata 189

Metadata Data Quality Auto-classification DevOps 189

IBM Journey to AI blog

JULY 24, 2023

It is often a part of AIOps , which uses artificial intelligence (AI) and machine learning to improve the overall DevOps of an organization so the organization can provide better service. ITOA helps ITOps streamline their decision-making process by using technology to analyze large data sets and identify the right IT strategy.

DevOps 188

DevOps Automation Big Data Data Mining 188

ODSC - Open Data Science

FEBRUARY 15, 2024

Once validated, the deployment tools facilitate the integration of these models into real-world applications, be it in automating customer support interactions, analyzing financial documents, or interpreting medical texts.

Large Language Models 52

Large Language Models LLM Robotics Data Science 52

IBM Journey to AI blog

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. But few organizations have made the strategic shift to managing “data as a product.”

ESG 328

ESG Generative AI AI AI 328

IBM Journey to AI blog

JULY 13, 2023

The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. When an underlying machine learning model is being trained on data records that are trustworthy and accurate, the better that model will be at making business predictions or automating tasks.

Data Quality 189

Data Quality Data Integration Metadata Automation 189

Marktechpost

JULY 23, 2023

A data warehouse is a data management system for data reporting, analysis, and storage. It is an enterprise data warehouse and is part of business intelligence. Data from one or more diverse sources is stored in data warehouses, which are central repositories.

ETL 52

ETL Machine Learning Big Data Data Integration 52

ODSC - Open Data Science

JUNE 2, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals. Win-win, right? So where do you fit into the BI equation?

Business Intelligence 52

Business Intelligence Composite AI Automation Data Science 52

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

Pickl AI

JUNE 6, 2024

Correction Power Once errors are identified, data scrubbing doesn’t just point and laugh (well, metaphorically). This can involve manual intervention by data analysts for complex issues. Data scrubbing is the knight in shining armour for BI. Data scrubbing helps organizations comply with data privacy regulations.

Machine Learning 40

Machine Learning Algorithm Business Intelligence Data Quality 40

IBM Journey to AI blog

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

Data Scientist 253

Data Scientist Metadata Responsible AI Explainability 253

Marktechpost

JULY 18, 2023

The entire ETL procedure is automated using an ETL tool. ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. Large-scale businesses and Big Data firms are its primary target market.

ETL 52

ETL Data Integration Business Intelligence Automation 52

Pickl AI

SEPTEMBER 12, 2024

Data Scientists use various techniques, including Machine Learning , Statistical Modelling, and Data Visualisation, to transform raw data into actionable knowledge. Importance of Data Science Data Science is crucial in decision-making and business intelligence across various industries.

Data Science 52

Data Science Machine Learning Data Mining Algorithm 52

Marktechpost

JULY 17, 2023

Data gathering, pre-processing, modeling, and deployment are all steps in the iterative process of predictive analytics that results in output. We can automate the procedure to deliver forecasts based on new data continuously fed throughout time. This tool’s user-friendly UI consistently receives acclaim from users.

Data Mining 98

Data Mining Machine Learning Data Scientist Artificial Intelligence 98

Pickl AI

JUNE 12, 2023

Disadvantages of Tableau for Data Science However, apart from the advantages, Tableau for Data Science also has its own disadvantages. These can be explained as follows: Tableau doesn’t have the feature of integration and while Data Scientists make use of automation and integrations.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

AWS Machine Learning Blog

APRIL 19, 2023

Our automated Kinesis Data Analytics for Apache Flink aggregation takes over from there, maintaining a near-real-time view of transaction counts and amounts in Feature Store, with a sliding 10-minute lookback window. sagemaker_runtime = boto3.client(service_name='runtime.sagemaker')

ML 81

ML Data Scientist Big Data Machine Learning 81

ODSC - Open Data Science

JANUARY 19, 2024

Automation Automation, already a game-changer, is about to get a major AI-powered boost. Improved Analytics Gut feelings are great, but data-driven insights are better. AI-powered analytics will take your business intelligence to the next level. Tickets are currently 60% off, so don’t delay!

Data Science 52

Data Science Automation Responsible AI Machine Learning 52

AWS Machine Learning Blog

AUGUST 12, 2024

For example, it can be used to answer questions such as “If patients have a propensity to have their wearables turned off and there is no clinical telemetry data available, can the likelihood that they are hospitalized still be accurately predicted?” To facilitate this, an automated data engineering pipeline is built using AWS Step Functions.

ML 98

ML Data Quality AI AI 98

Pickl AI

APRIL 2, 2024

The Three Types of Data Science Data science isn’t a one-size-fits-all solution. There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52