Unite.AI

DECEMBER 19, 2024

Initially focused on automating basic processes like logistics and maintenance, AI now drives critical functions such as surveillance, predictive analytics, and autonomous operations. Historical milestones like Project Maven demonstrated AIs ability to analyze vast surveillance data and identify threats faster than traditional methods.

AI 263

AI AI Neural Network Artificial Intelligence 263

Unite.AI

DECEMBER 26, 2024

AI retail tools have moved far beyond simple automation and data crunching. Stackline Stackline is an AI retail intelligence platform that processes data from over 30 major retailers to optimize eCommerce performance.

AI Tools 147

AI Tools Automation AI AI 147

Unite.AI

NOVEMBER 28, 2024

AI voice agents are an integral part of today's automated phone communication, enabling businesses to process thousands of concurrent calls through sophisticated speech recognition and natural language processing systems.

Natural Language Processing 130

Natural Language Processing Automation AI AI 130

ODSC - Open Data Science

NOVEMBER 29, 2024

As organizations amass vast amounts of information, the need for effective management and security measures becomes paramount. Artificial Intelligence (AI) stands at the forefront of transforming data governance strategies, offering innovative solutions that enhance data integrity and security.

Data Integration 40

Data Integration Automation Machine Learning AI 40

Unite.AI

NOVEMBER 13, 2024

As multi-cloud environments become more complex, observability must adapt to handle diverse data sources and infrastructures. Over the next few years, we anticipate AI and machine learning playing a key role in advancing observability capabilities, particularly through predictive analytics and automated anomaly detection.

Machine Learning 147

Machine Learning Large Language Models Data Quality Automation 147

Unite.AI

FEBRUARY 20, 2025

The tool is not just about automating tasks; its purpose is to help researchers generate insights that would take human teams months or even years to formulate. This integration enables the tool to synthesize relevant information efficiently, providing researchers with comprehensive insights tailored to their goals.

Machine Learning 124

Machine Learning AI AI Natural Language Processing 124

Flipboard

JANUARY 28, 2025

Picture your enterprise as a living ecosystem, where surging market demand instantly informs staffing decisions, where a new vendor’s onboarding optimizes your emissions metrics, where rising customer engagement reveals product opportunities. Now imagine if your systems could see these connections, too!

AI 140

AI AI Automation Continuous Learning 140

AWS Machine Learning Blog

MARCH 18, 2025

In the rapidly evolving healthcare landscape, patients often find themselves navigating a maze of complex medical information, seeking answers to their questions and concerns. However, accessing accurate and comprehensible information can be a daunting task, leading to confusion and frustration.

LLM 101

LLM NLP Data Integration AI 101

Marktechpost

MARCH 20, 2024

Extracting targeted information from scientific literature is time-consuming, relying on manual review and specialized databases. There’s a pressing need for intelligent systems that swiftly comprehend and analyze diverse scientific data, aiding researchers in navigating complex information landscapes.

Data Integration 134

Data Integration Data Analysis AI AI 134

Unite.AI

JANUARY 15, 2025

Data Sources and Integration Challenges Machine learning thrives on diverse qualitative data, requiring a strong data infrastructure to gather and integrate information from various sources. Effective data integration is equally important.

Machine Learning 130

Machine Learning Natural Language Processing Algorithm NLP 130

Marktechpost

APRIL 5, 2025

This means it can carry out multi-step tasks such as researching information, transforming data, or even performing real-world actions (like making a phone call) without constant guidance. Live Data Integration : Capable of conducting detailed research, compiling up-to-date information into comprehensive visual and textual reports.

Automation 80

Automation OpenAI Large Language Models AI 80

Unite.AI

DECEMBER 27, 2024

Lastly, balancing data volume and quality is an ongoing struggle. While massive, overly influential datasets can enhance model performance , they often include redundant or noisy information that dilutes effectiveness. Data validation frameworks play a crucial role in maintaining dataset integrity over time.

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

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

Flipboard

DECEMBER 3, 2024

This conversational agent offers a new intuitive way to access the extensive quantity of seed product information to enable seed recommendations, providing farmers and sales representatives with an additional tool to quickly retrieve relevant seed information, complementing their expertise and supporting collaborative, informed decision-making.

Generative AI 148

Generative AI Metadata Machine Learning Natural Language Processing 148

Unite.AI

JUNE 17, 2024

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. It's true that the specter of job losses due to AI automation is a real fear for many.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Unite.AI

DECEMBER 6, 2024

When framed in the context of the Intelligent Economy RAG flows are enabling access to information in ways that facilitate the human experience, saving time by automating and filtering data and information output that would otherwise require significant manual effort and time to be created.

AI 130

AI AI Data Platform LLM 130

Unite.AI

JANUARY 22, 2025

Saket Saurabh , CEO and Co-Founder of Nexla, is an entrepreneur with a deep passion for data and infrastructure. He is leading the development of a next-generation, automated data engineering platform designed to bring scale and velocity to those working with data.

Auto-complete 147

Auto-complete Automation Machine Learning Data Integration 147

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

Data Integration 98

Data Integration ML ESG Big Data 98

AI News

MAY 20, 2024

Moreover, the reliability of information provided by generative AI has been questioned. Feedback from the general public indicates that half of the data received from AI was inaccurate, and 38% perceived it as outdated. This lack of emphasis on data integrity and ethical considerations puts firms at risk.

Generative AI 316

Generative AI Big Data AI AI 316

IBM Journey to AI blog

NOVEMBER 10, 2023

Behind the scenes, a complex net of information about health records, benefits, coverage, eligibility, authorization and other aspects play a crucial role in the type of medical treatment patients will receive and how much they will have to spend on prescription drugs. Why is data interoperability an imperative?

Natural Language Processing 295

Natural Language Processing AI AI Data Platform 295

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

JUNE 27, 2024

It is no longer sufficient to control data by restricting access to it, and we should also track the use cases for which data is accessed and applied within analytical and operational solutions. Enterprise data is often complex, diverse and scattered across various repositories, making it difficult to integrate into gen AI solutions.

Generative AI 305

Generative AI Data Ingestion Large Language Models Data Discovery 305

IBM Journey to AI blog

JUNE 28, 2024

In addition to these capabilities, generative AI can revolutionize drive tests, optimize network resource allocation, automate fault detection, optimize truck rolls and enhance customer experience through personalized services. This aids in better data integration and utilization in the upper layers.

Generative AI 216

Generative AI Automation Large Language Models AI 216

Unite.AI

AUGUST 28, 2024

The challenge lies in balancing the integration of AI for routine tasks and retaining human expertise for complex patient care, where empathy and critical thinking are irreplaceable. Some providers might also disregard ethics and use patient data without permission. These tools remove siloed data and improve interoperability.

Data Quality 317

Data Quality Algorithm AI AI 317

Unite.AI

SEPTEMBER 21, 2023

AI's real-time data analysis and decision-making capabilities expand blockchain’s authenticity, augmentation, and automation capabilities. For instance, Optimizing automation of supply chain processes by embedding AI in smart contracts. Addressing the challenges of AI ethics by ensuring the authenticity of data.

Convolutional Neural Networks 289

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Automation can significantly improve efficiency and reduce errors.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

IBM Journey to AI blog

JULY 7, 2023

Though they would seem to mean the same thing, knowledge workers differ from information workers. Knowledge workers take existing information and use it to create new information. Information workers, on the other hand, apply information to perform a task. Knowledge management offers a solution.

Automation 204

Automation Big Data Generative AI Artificial Intelligence 204

Flipboard

FEBRUARY 11, 2025

Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management.

Data Ingestion 154

Data Ingestion Metadata Machine Learning Generative AI 154

IBM Journey to AI blog

NOVEMBER 14, 2023

Internal data monetization initiatives measure improvement in process design, task guidance and optimization of data used in the organization’s product or service offerings. Creating value from data involves taking some action on the data. Doing so can increase the quality of data integrated into data products.

ESG 315

ESG Generative AI AI AI 315

AWS Machine Learning Blog

MARCH 17, 2025

However, despite their impressive language capabilities, LLMs are inherently limited by the data they were trained on. Their knowledge is static and confined to the information they were trained on, which becomes problematic when dealing with dynamic and constantly evolving domains like healthcare.

LLM 96

LLM Natural Language Processing ML Computer Vision 96

IBM Journey to AI blog

APRIL 19, 2023

This work involved creating a single set of definitions and procedures for collecting and reporting financial data. The water company also needed to develop reporting for a data warehouse, financial data integration and operations.

Data Integration 254

Data Integration Automation 254

Unite.AI

MAY 30, 2024

From powering recommendation algorithms on streaming platforms to enabling autonomous vehicles and enhancing medical diagnostics, AI's ability to analyze vast amounts of data, recognize patterns, and make informed decisions has transformed fields like healthcare, finance, retail, and manufacturing.

AI Development 221

AI Development AI Developer AI Tools AI 221

IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

Machine Learning 225

Machine Learning Automation AI AI 225

IBM Journey to AI blog

JANUARY 15, 2024

Chief information officers (CIOs) must work directly with CEOs and other business leaders to align on the cultural changes needed to make a digital transformation successful. But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows.

Machine Learning 219

Machine Learning Automation DevOps Artificial Intelligence 219

Marktechpost

JUNE 13, 2024

The landscape of AI-driven information retrieval is rapidly evolving, with groundbreaking advancements that promise to outpace established giants like Gemini and ChatGPT. Expanding Possibilities with Private Data Integration LaVague’s potential extends beyond public data retrieval. LaVague.ai

ChatGPT 84

ChatGPT Automation AI Automation AI 84

AWS Machine Learning Blog

MAY 1, 2024

For handling more intricate queries, achieving comprehensive answers demands information sourced from both documentation and databases. Agents for Amazon Bedrock is a generative AI tool offered through Amazon Bedrock that enables generative AI applications to execute multistep tasks across company systems and data sources.

Chatbots 119

Chatbots Automation Machine Learning DevOps 119

Unite.AI

MAY 23, 2024

For example, leveraging AI to create a more robust and effective product recommendation and personalization engine requires connecting user data from a CRM and sourcing product data from a Product Information Management (PIM) system. Onboarding data into AI systems is a crucial step that requires careful planning and execution.

Machine Learning 269

Machine Learning AI AI AI Engineer 269