IBM Journey to AI blog

JUNE 29, 2023

Learn more about IBM Planning Analytics Integrated business planning framework Integrated Business Planning (IBP) is a holistic approach that integrates strategic planning, operational planning, and financial planning within an organization.

Data Integration 237

Data Integration Business Intelligence ETL Automation 237

Unite.AI

SEPTEMBER 18, 2023

To prevent these scenarios, protection of data, user assets, and identity information has been a major focus of the blockchain security research community, as to ensure the development of the blockchain technology, it is essential to maintain its security.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

Unite.AI

NOVEMBER 28, 2024

The platform incorporates real-time data analysis capabilities, extracting and processing information from conversations to generate operational insights. GetVocal GetVocal functions as an automated phone interaction system that processes customer communications through AI agents trained on organization-specific information.

Natural Language Processing 130

Natural Language Processing Automation AI AI 130

Unite.AI

AUGUST 27, 2024

It pulls from multiple trustworthy sources, so you don't have to juggle a bunch of tabs and feel overwhelmed by information. Verdict Perplexity AI delivers precise, evidence-backed answers with real-time, in-depth information and follow-up questions. Plus, despite citing its sources, its information may still be inaccurate.

ChatGPT 264

ChatGPT AI AI AI Tools 264

Unite.AI

SEPTEMBER 21, 2023

AI's real-time data analysis and decision-making capabilities expand blockchain’s authenticity, augmentation, and automation capabilities. Addressing this issue demands highly optimized and effective data integration strategies and data-sharing models. Both technologies complement each other.

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

Pickl AI

MAY 30, 2024

Summary: The Data Science and Data Analysis life cycles are systematic processes crucial for uncovering insights from raw data. Quality data is foundational for accurate analysis, ensuring businesses stay competitive in the digital landscape. billion INR by 2026, with a CAGR of 27.7%.

Data Analysis 52

Data Analysis Data Science Data Scientist Data Quality 52

Pickl AI

MARCH 12, 2023

Accordingly, Data Analysts use various tools for Data Analysis and Excel is one of the most common. Significantly, the use of Excel in Data Analysis is beneficial in keeping records of data over time and enabling data visualization effectively. What is Data Analysis?

Data Analysis 52

Data Analysis Data Mining Data Scientist Automation 52

Unite.AI

OCTOBER 14, 2024

Quantum provides end-to-end data solutions that help organizations manage, enrich, and protect unstructured data, such as video and audio files, at scale. Their technology focuses on transforming data into valuable insights, enabling businesses to extract value and make informed decisions.

ML 195

ML Data Ingestion Data Analysis Machine Learning 195

Unite.AI

JUNE 10, 2024

It's improving the accuracy of medical image diagnostics, helping create personalized treatments through genomic data analysis, and speeding up drug discovery by examining biological data. Its adaptability and flexibility equip it to learn from various data types, adapt to new challenges, and evolve with medical advancements.

AI 147

AI AI Data Analysis Artificial Intelligence 147

Unite.AI

JANUARY 29, 2025

With more than 16 years of experience, he provides strategic leadership in information security, covering products and infrastructure. Dr. Sood is interested in Artificial Intelligence (AI), cloud security, malware automation and analysis, application security, and secure software design. Aditya K Sood (Ph.D)

AI Strategy 130

AI Strategy Automation AI AI 130

IBM Journey to AI blog

APRIL 15, 2024

Data integration stands as a critical first step in constructing any artificial intelligence (AI) application. While various methods exist for starting this process, organizations accelerate the application development and deployment process through data virtualization. Why choose data virtualization?

Data Platform 204

Data Platform Data Mining AI AI 204

Pickl AI

JANUARY 19, 2025

Data warehousing focuses on storing and organizing data for easy access, while data mining extracts valuable insights from that data. Together, they empower organisations to leverage information for strategic decision-making and improved business outcomes. What is Data Warehousing?

Data Mining 52

Data Mining Algorithm Data Quality Data Scientist 52

Unite.AI

DECEMBER 5, 2023

In BI systems, data warehousing first converts disparate raw data into clean, organized, and integrated data, which is then used to extract actionable insights to facilitate analysis, reporting, and data-informed decision-making. They can contain structured, unstructured, or semi-structured data.

Metadata 162

Metadata Big Data ETL Data Mining 162

IBM Journey to AI blog

OCTOBER 20, 2023

Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives. Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development.

Machine Learning 225

Machine Learning Automation AI AI 225

Pickl AI

MARCH 19, 2025

Understanding Data Engineering Data engineering is collecting, storing, and organising data so businesses can use it effectively. It involves building systems that move and transform raw data into a usable format. Without data engineering , companies would struggle to analyse information and make informed decisions.

Big Data 52

Big Data Automation Data Science Python 52

Marktechpost

JUNE 30, 2024

They can also provide contextual information and recommendations based on user behavior and preferences. Integrating AI into browsers helps users navigate vast online information more efficiently, turning the web into a more personalized and accessible space.

Generative AI 116

Generative AI Chatbots Natural Language Processing Automation 116

Marktechpost

JUNE 5, 2024

Data profiling is a crucial tool. For evaluating data quality. It entails analyzing, cleansing, transforming, and modeling data to find valuable information, improve data quality, and assist in better decision-making, What is Data Profiling? Fixing poor data quality might otherwise cost a lot of money.

Data Quality 113

Data Quality Metadata Data Integration ETL 113

Pickl AI

NOVEMBER 3, 2024

Summary: Pattern matching in SQL enables users to identify specific sequences of data within databases using various techniques such as the LIKE operator and regular expressions. This powerful feature enhances data analysis, allowing for complex queries that can uncover trends and insights across datasets.

Data Analysis 52

Data Analysis Data Integration Data Science Artificial Intelligence 52

Unite.AI

OCTOBER 26, 2023

Before artificial intelligence (AI) was launched into mainstream popularity due to the accessibility of Generative AI (GenAI), data integration and staging related to Machine Learning was one of the trendier business priorities. Users should store data in secure locations with safeguards to protect against data breaches.

Generative AI 147

Generative AI Data Scientist AI AI 147

Marktechpost

JULY 16, 2024

Spreadsheet analysis is essential for managing and interpreting data within extensive, flexible, two-dimensional grids used in tools like Microsoft Excel and Google Sheets. These grids include various formatting and complex structures, which pose significant challenges for data analysis and intelligent user interaction.

Artificial Intelligence 104

Artificial Intelligence Artificial Intelligence Large Language Models Data Analysis 104

Marktechpost

FEBRUARY 23, 2025

Context Awareness: They are often equipped to understand the context in which they operate, using that information to tailor their responses and actions. By analyzing market data in real time, they support financial institutions in making more informed decisions. This shift can lead to a more efficient allocation of resources.

Natural Language Processing 56

Natural Language Processing Machine Learning AI AI 56

IBM Journey to AI blog

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Machine Learning 183

Machine Learning Metadata Automation AI 183

Pickl AI

JANUARY 10, 2025

They involved the personal health data of roughly one out of every four Americans in the United States. These incidents compromise sensitive information and frequently cause financial losses. This way, you can track any actions that could compromise data integrity.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation AI 52

Marktechpost

DECEMBER 3, 2024

In the evolving landscape of artificial intelligence, language models are becoming increasingly integral to a variety of applications, from customer service to real-time data analysis. Many existing LLMs require specific formats and well-structured data to function effectively. Unstructured with Check Table 0.77

LLM 103

LLM AI Tools Large Language Models Data Ingestion 103

IBM Journey to AI blog

SEPTEMBER 4, 2024

’ In Apache architecture, an event is any message that contains information describing what a user has done. A ‘consumer’ is any component that needs the data that’s been created by the producer to function.

Big Data 146

Big Data Data Analysis Data Integration Automation 146

Marktechpost

NOVEMBER 4, 2024

In today’s data-driven world, data analysts play a crucial role in various domains. Businesses use data extensively to inform strategy, enhance operations, and obtain a competitive edge. Table of contents What Do Data Analysts Do?

Data Analysis 83

Data Analysis Machine Learning Data Science Python 83

Unite.AI

OCTOBER 26, 2023

This tool excels in offering user-friendly features for effortless customer interactions across various channels, coupled with efficient data analysis and content management. Workflow Automation and Analytics : Offers automated processes and insightful data analysis for improved sales strategies.

Automation 162

Automation Auto-complete Data Analysis Natural Language Processing 162

Marktechpost

AUGUST 15, 2024

However, the complexity and specificity of plant stress responses, influenced by species, stressor type, and tissue, necessitate advanced analysis methods. Controlled exposure to low doses of stressors in plants can enhance defensive mechanisms and productivity.

ML 109

ML Large Language Models AI AI 109

Unite.AI

SEPTEMBER 24, 2024

At the core of IBM Supply Chain is its ability to analyze vast amounts of data from multiple sources, including historical sales data, market trends, weather patterns, and social media sentiment. project44 has experienced significant growth and recognition in the supply chain visibility market.

AI Tools 162

AI Tools Natural Language Processing Machine Learning Artificial Intelligence 162

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

Data Scientist 98

Data Scientist Data Science Data Analysis Python 98

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. per month and a free version available as well.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 97

Marktechpost

NOVEMBER 19, 2024

With well-defined schemas, it is ideal for processing and organizing structured data, allowing for sophisticated queries and aggregations. A data warehouse’s essential characteristics are as follows. Companies that need time-bound, structured data analysis for operational or financial reporting.

Big Data 82

Big Data ETL Business Intelligence Data Analysis 82

Towards AI

APRIL 12, 2024

This is the point in time where there are good results from the integration of IoT and data analytics when the strategy of the real-time supply chain becomes prominent. Data standardized data formats simplify the integration process so that they all function smoothly together regardless of the platform or system they are built on.

Machine Learning 93

Machine Learning Data Analysis Artificial Intelligence Artificial Intelligence 93

Marktechpost

AUGUST 27, 2024

Data analysis helps organizations make informed decisions by turning raw data into actionable insights. With businesses increasingly relying on data-driven strategies, the demand for skilled data analysts is rising. You’ll learn the fundamentals of gathering, cleaning, analyzing, and visualizing data.

Data Analysis 57

Data Analysis Python Data Scientist Big Data 57

Pickl AI

FEBRUARY 11, 2025

Summary: Tableau simplifies data visualisation with interactive dashboards, AI-driven insights, and seamless data integration. Tableau is a powerful data visualisation tool that transforms raw data into meaningful insights. Connects with databases, cloud platforms, and spreadsheets for streamlined analysis.

Data Analysis 52

Data Analysis Data Integration Automation Data Extraction 52

Unite.AI

JUNE 26, 2024

This is helpful to inform administrators on where the experience needs to be tuned or improved. Our vision for Skill Studio is to give data analysts the tools to create AI-powered assistants for virtually any data analysis use case under the sun. We never make copies of the data while it’s being analyzed.

Data Analysis 100

Data Analysis Automation Data Scientist Conversational AI 100

Pickl AI

JULY 3, 2024

and their significance in data retrieval, analysis, and security. Learn best practices for attribute design and how they contribute to the evolving data landscape. Introduction In the realm of databases, where information reigns supreme, attributes are the fundamental building blocks.

Data Analysis 52

Data Analysis Big Data Data Integration Machine Learning 52