IBM Journey to AI blog

JUNE 8, 2023

The reefs are also equipped with the BluBoxx™ ocean data platform, and can be adapted to different environments to monitor and collect a wide range of ocean data.

ESG 237

ESG Data Platform Actionable Intelligence Business Intelligence 237

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 236

Data Science Data Scientist Machine Learning Data Mining 236

Pickl AI

NOVEMBER 5, 2024

Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. They empower organisations to unlock valuable insights from complex data. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. billion in 2023.

Business Intelligence 52

Business Intelligence Data Analysis Data Extraction Big Data 52

IBM Journey to AI blog

OCTOBER 20, 2023

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. trillion in value.

Machine Learning 225

Machine Learning Automation AI AI 225

AssemblyAI

AUGUST 22, 2024

For example, marketers have a range of tools at their disposal, including marketing analytics and measurement tools, customer relationship management platforms, and customer data platforms, but two-thirds are unsatisfied with how they are using customer data to create relevant experiences for their buyers , leaving significant room for improvement. 

AI Modeling 147

AI Modeling AI AI Business Intelligence 147

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Data Intelligence emerges as the indispensable force steering businesses towards informed and strategic decision-making.

Data Analysis 52

Data Analysis Data Quality Artificial Intelligence Artificial Intelligence 52

Pickl AI

FEBRUARY 23, 2025

Introduction to Big Data Tools In todays data-driven world, organisations are inundated with vast amounts of information generated from various sources, including social media, IoT devices, transactions, and more. Big Data tools are essential for effectively managing and analysing this wealth of information.

Big Data 52

Big Data Machine Learning Business Intelligence Algorithm 52

IBM Journey to AI blog

JULY 3, 2024

Your data strategy should incorporate databases designed with open and integrated components, allowing for seamless unification and access to data for advanced analytics and AI applications within a data platform. This enables your organization to extract valuable insights and drive informed decision-making.

Data Quality 112

Data Quality Metadata Business Intelligence AI 112

Marktechpost

NOVEMBER 19, 2024

Flexible Structure: Big Data systems can manage unstructured, semi-structured, and structured data without enforcing a strict structure, in contrast to data warehouses that adhere to structured schemas. What is a Data Warehouse? A data warehouse’s essential characteristics are as follows.

Big Data 80

Big Data ETL Business Intelligence Data Analysis 80

IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. AMC Networks is excited by the opportunity to capitalize on the value of all of their data to improve viewer experiences.

Machine Learning 186

Machine Learning Metadata Automation AI 186

John Snow Labs

FEBRUARY 12, 2025

It provides a suite of tools for data engineering, data science, business intelligence, and analytics. Additional information on these steps can also be found in our documentation. Find more information in our documentation. Find more information in our documentation.

Large Language Models 52

Large Language Models NLP Natural Language Processing LLM 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. Data profiling is a crucial tool.

Data Quality 110

Data Quality Metadata Data Integration ETL 110

AWS Machine Learning Blog

NOVEMBER 15, 2023

Content redaction: Each customer audio interaction is recorded as a stereo WAV file, but could potentially include sensitive information such as HIPAA-protected and personally identifiable information (PII). PCA’s security features ensure that any PII data was redacted from the transcript, as well as from the audio file itself.

Data Ingestion 118

Data Ingestion Metadata NLP Data Scientist 118

TransOrg Analytics

AUGUST 9, 2024

Eight prominent concepts stand out: Customer Data Platforms (CDPs), Master Data Management (MDM), Data Lakes, Data Warehouses, Data Lakehouses, Data Marts, Feature Stores, and Enterprise Resource Planning (ERP). Each serves a unique purpose and caters to different business needs.

Machine Learning 52

Machine Learning ETL Big Data Data Analysis 52

Marktechpost

JULY 17, 2023

It relates to employing algorithms to find and examine data patterns to forecast future events. Through practice, machines pick up information or skills (or data). Deep learning is a branch of machine learning frequently used with text, audio, visual, or photographic data.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. The tool’s high storage capacity is perfect for keeping large information volumes.

Business Intelligence 52

Business Intelligence Data Ingestion Metadata Machine Learning 52

Pickl AI

OCTOBER 10, 2024

Inconsistent or unstructured data can lead to faulty insights, so transformation helps standardise data, ensuring it aligns with the requirements of Analytics, Machine Learning , or Business Intelligence tools. This makes drawing actionable insights, spotting patterns, and making data-driven decisions easier.

ETL 52

ETL Data Quality Machine Learning Business Intelligence 52

Pickl AI

DECEMBER 16, 2024

Whether you aim for comprehensive data integration or impactful visual insights, this comparison will clarify the best fit for your goals. Key Takeaways Microsoft Fabric is a full-scale data platform, while Power BI focuses on visualising insights. It enables businesses to visualise their data and derive actionable insights.

ETL 52

ETL Data Ingestion Data Integration Machine Learning 52

Pickl AI

JUNE 29, 2023

Furthermore, The platform’s versatility extends beyond data analysis. Advantages of Using Splunk Real-time Visibility One of the significant advantages of Splunk is its ability to provide real-time data visibility. Thus, it lets users gain insights from vast data in real time.

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52

Marktechpost

JULY 18, 2023

assists e-commerce businesses in creating a 360-degree perspective of their customers, creating a single source of truth for data-driven choices, enhancing consumer insights through improved operational insights, and boosting ROI. It gives vital data and benefits to the organization while supporting the data integration lifecycle.

ETL 52

ETL Data Integration Business Intelligence Automation 52

Pickl AI

JUNE 12, 2023

Importance of Tableau Tableau is used by different industries and organisations that helps in collecting large amount of datasets and therefore, using the data to interpret meaningful information. It further helps in understanding the information better and utilise it for effective decision-making.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

Artificial Corner

JUNE 6, 2023

However, it was inflexible and could not handle many-to-many relationships or complex relationships between data, which limited its use in more complex applications. Hierarchical databases, such as IBM’s Information Management System (IMS), were widely used in early mainframe database management systems.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

Pickl AI

APRIL 26, 2024

The blog also presents popular data analytics courses, emphasizing their curriculum, learning methods, certification opportunities, and benefits to help aspiring Data Analysts choose the proper training for their career advancement. It is essential to provide a unified data view and enable business intelligence and analytics.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Flipboard

DECEMBER 4, 2024

You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes. Let’s examine how Example Retail Corp can use SageMaker Lakehouse to achieve its unified data management vision using this reference architecture diagram. Delete the Redshift Serverless associated namespace.

ETL 139

ETL Business Intelligence Big Data Architect Machine Learning 139

Flipboard

NOVEMBER 22, 2024

We are excited about the potential productivity gain and acceleration for generative-AI application development with Bedrock Flows.” – Laura Skylaki, VP of Artificial Intelligence, Business Intelligence and Data Platforms at Thomson Reuters. Inline validation status of nodes in the visual builder.

Generative AI 165

Generative AI Chatbots Machine Learning Software Development 165

Unite.AI

JUNE 28, 2023

One of the primary challenges arose from the general use of business intelligence tools for data prep and management. While these tools are valuable for generating insights, they lack the capabilities required to ensure point-in-time correctness for machine learning data preparation.

Data Scientist 264

Data Scientist Data Science Machine Learning ML Engineer 264

ODSC - Open Data Science

MARCH 18, 2025

Since 2022, she has been driving digital transformation, designing cloud architectures, and developing cutting-edge data platforms incorporating IoT, real-time analytics, machine learning, and generative AI. A published author on AI and large language models, she shares her expertise through insightful articles and technical writing.

Data Science 64

Data Science Machine Learning Software Engineer Data Scientist 64

Marktechpost

NOVEMBER 1, 2024

Tableau Tableau is well known for its user-friendly data visualization features, which let users make dynamic, interactive dashboards without knowing any code. Ask Data, an AI-powered element of the tool, allows users to ask questions in natural language and instantly get visual insights.

Artificial Intelligence 96

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 96

The MLOps Blog

MARCH 21, 2023

They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. Use or build tools to anonymize datasets and protect sensitive information. What do they want to accomplish?

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

Pickl AI

FEBRUARY 9, 2025

Summary: Explore the transformative power of Business Intelligence (BI) in driving strategic growth. Real-world examples and stats illustrate BI’s impact on modern businesses. The amount of data generated by organisations is growing exponentially. This explosion of data presents both a challenge and an opportunity.

Business Intelligence 52

Business Intelligence Data Analysis Data Platform Automation 52

IBM Journey to AI blog

AUGUST 4, 2023

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

Machine Learning 183

Machine Learning Metadata Automation AI 183

Pickl AI

NOVEMBER 22, 2024

Summary: Big Data visualization involves representing large datasets graphically to reveal patterns, trends, and insights that are not easily discernible from raw data. Importance of Big Data Visualization The significance of Big Data Visualization lies in its ability to simplify complex datasets and facilitate decision-making.

Big Data 52

Big Data Business Intelligence Data Analysis Data Platform 52