Unite.AI

JUNE 13, 2024

Protecting digital assets requires harnessing the power of AI and automation while ensuring skilled human analysts remain integral to the security posture. Leveraging AI and Automation Deploying AI and machine learning (ML) models tailored to each of these attack classes is critical for proactive threat detection and prevention.

Automation 195

Automation AI Automation ML AI 195

Unite.AI

DECEMBER 23, 2024

Scribenote Scribenote is an AI-powered clinical documentation system where machine learning processes veterinary conversations in real-time to generate comprehensive medical records. The system's AI extends beyond basic image analysis, incorporating specialized algorithms for automated cardiac measurements and vertebral heart scoring.

Automation 162

Automation Machine Learning AI AI 162

Unite.AI

JANUARY 28, 2025

The companys proprietary AI-powered tools enable retailers to create dynamic, engaging audio content tailored to local conditions, helping brands connect with customers in meaningful ways. Driving Innovation with AI-Driven Audio Solutions Qsics generative AI model, Lucy , is a game-changer in retail audio advertising.

Continuous Learning 147

Continuous Learning Automation Generative AI AI Modeling 147

Unite.AI

OCTOBER 30, 2023

Improves quality: The effectiveness of AI is significantly influenced by the quality of the data it processes. Training AI models with subpar data can lead to biased responses and undesirable outcomes. ” DataOps uses technology to automate data delivery, ensuring quality and consistency.

DevOps 310

DevOps Software Development Automation Artificial Intelligence 310

AI News

JUNE 3, 2024

an AI language model meticulously developed and trained by TickLab.IO. Unlike other AI models like ChatGPT, Bard, or Grok, E.D.I.T.H. Our AI systems are designed to perform tasks that traditionally require human intelligence, such as analysing market trends, managing portfolios, and providing investment advice.

Deep Learning 297

Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 297

Unite.AI

OCTOBER 23, 2024

The rapid development of Large Language Models (LLMs) has brought about significant advancements in artificial intelligence (AI). From automating content creation to providing support in healthcare, law, and finance, LLMs are reshaping industries with their capacity to understand and generate human-like text.

LLM 316

LLM Large Language Models AI AI 316

Unite.AI

FEBRUARY 7, 2025

This is why we're moving away from the traditional command-based AI model. We believe AI should work in harmony with human attention rather than competing for it. Our beta testing of automated agents for tasks like sending emails and WhatsApp messages shows how we're pushing the boundaries of personal AI capabilities.

Continuous Learning 243

Continuous Learning AI AI Automation 243

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. When did you first discover AI and realize how disruptive it would be?

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Marktechpost

SEPTEMBER 25, 2024

Microsoft’s release of RD-Agent marks a milestone in the automation of research and development (R&D) processes, particularly in data-driven industries. By automating these critical processes, RD-Agent allows companies to maximize their productivity while enhancing the quality and speed of innovations.

Automation 137

Automation AI Tools Data Mining Large Language Models 137

Unite.AI

FEBRUARY 21, 2025

What role does AI play in ensuring product data accuracy and consistency across multiple channels? One of the most practical use cases of AI today is its ability to automate data standardization, enrichment, and validation processes to ensure accuracy and consistency across multiple channels.

Natural Language Processing 147

Natural Language Processing NLP Categorization Algorithm 147

Unite.AI

JULY 25, 2023

Production-deployed AI models need a robust and continuous performance evaluation mechanism. This is where an AI feedback loop can be applied to ensure consistent model performance. But, with the meteoric rise of Generative AI , AI model training has become anomalous and error-prone.

Data Drift 246

Data Drift AI AI AI Modeling 246

Unite.AI

JANUARY 9, 2024

AI represents a significant competitive advantage to the RCM function, and healthcare finance leaders who dismiss AI as hype will soon find their organizations left behind. Where AI Can Fall Short Truly autonomous AI in healthcare is a pipe dream. Continuous training.

Metadata 290

Metadata AI AI AI Tools 290

Unite.AI

SEPTEMBER 18, 2024

AI's integration into sales processes can significantly enhance efficiency, streamline workflows, and drive business success through insights derived from complex data. Automating Routine Tasks Sales professionals often spend a significant amount of time on repetitive tasks such as data entry, email management, and scheduling.

Automation 200

Automation AI AI Algorithm 200

Unite.AI

OCTOBER 25, 2024

AI SDRs (Sales Development Representatives) have emerged as sophisticated systems that automate and enhance the traditional role of human SDRs, handling everything from initial prospecting and lead qualification to scheduling appointments and managing follow-ups.

Automation 147

Automation Artificial Intelligence Artificial Intelligence AI 147

Unite.AI

DECEMBER 5, 2023

As a result, it's critical that we start thinking about where and how to reskill the workforce for an age of AI-powered software. The Impact of AI on the workforce AI is already having a significant impact on the workforce. According to a study by PwC , up to 30% of jobs in the UK could be automated by the early 2030s.

AI Tools 312

AI Tools AI AI Natural Language Processing 312

Unite.AI

AUGUST 24, 2023

However, with advancements in artificial intelligence and image recognition models, it is now possible to automate surface defect detection processes with greater accuracy and efficiency.

Deep Learning 246

Deep Learning Artificial Intelligence Artificial Intelligence Continuous Learning 246

Unite.AI

JUNE 10, 2024

The grid is complex, and so much so that AI in itself cannot learn about the complex power flows and operational processes that exist in the grid space. What specific challenges in grid management does ThinkLabs AI aim to solve? How does ThinkLabs AI ensure the reliability and accuracy of its AI models in real-world scenarios?

Continuous Learning 130

Continuous Learning Automation Data Quality AI 130

Becoming Human

JUNE 5, 2023

The inability to adapt to new data streams has been a significant limitation of ML models. Fortunately, the emergence of adaptive AI is changing the game. Adaptive AI represents a breakthrough in artificial intelligence by introducing continuous learning capabilities.

Continuous Learning 106

Continuous Learning Artificial Intelligence Artificial Intelligence Automation 106

IBM Journey to AI blog

JANUARY 10, 2024

Data is often divided into three categories: training data (helps the model learn), validation data (tunes the model) and test data (assesses the model’s performance). For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Artificial Intelligence 229

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 229

Unite.AI

JUNE 13, 2023

AI-powered code generators help streamline coding processes, automate routine tasks, and even predict and suggest code snippets. Below, we present some of best AI code generators, their unique features, and how they can revolutionize your programming experience.

Auto-complete 258

Auto-complete Deep Learning AI AI 258

ODSC - Open Data Science

MARCH 5, 2025

Generative AI & LLM Applications: A new category focused on leveraging pre-built AI models for automation and augmentation. Moreover, the ability to adapt to new tools and technologies is more critical than ever, as the landscape continues to shift with the advent of LLMs and AI automation.

Data Science 52

Data Science Software Engineer Data Scientist Machine Learning 52

Unite.AI

MARCH 19, 2024

Joscha Koepke, is the Head of Product at Connectly, a code-free platform that lets you create campaigns and interactive bots to easily automate two-way conversations – to both leads and loyal customers – at scale. At Connectly, our mission is to automate every sales conversation with AI.

Chatbots 147

Chatbots AI Chatbots Automation Natural Language Processing 147

Marktechpost

JUNE 16, 2024

This feature automates data layout optimization to enhance query performance and reduce storage costs. Key Features and Benefits: Automated Data Layout Optimization: Predictive Optimization leverages AI to analyze query patterns and determine the best optimizations for data layouts.

Data Ingestion 119

Data Ingestion Python Automation Data Scientist 119

LevelAI

FEBRUARY 5, 2024

Automating the QA process is a solution that can address these shortcomings, but there are many pitfalls to avoid when automation contact center QA. Not all QA automation tools are made equal and vary wildly in scope and quality. Let’s delve into the potential pitfalls to avoid when automating call center QA.

Automation 52

Automation Text Analytics Natural Language Processing Generative AI 52

NVIDIA

AUGUST 26, 2024

The new NIM microservices allow businesses, government agencies and universities to host native LLMs in their own environments, enabling developers to build advanced copilots, chatbots and AI assistants. The microservices, available with NVIDIA AI Enterprise , are optimized for inference with the NVIDIA TensorRT-LLM open-source library.

Generative AI 123

Generative AI Large Language Models LLM Artificial Intelligence 123

Unite.AI

JUNE 14, 2024

Erik Schwartz is the Chief AI Officer (CAIO) Tricon Infotech. In the Generative AI space, there are two primary focus areas. The first, which receives significant attention from some of the largest technology vendors, is training and fine-tuning AI models. Continuous learning is crucial for bridging this gap.

Large Language Models 130

Large Language Models Generative AI AI AI 130

AWS Machine Learning Blog

OCTOBER 2, 2024

This allows you to create rules that invoke specific actions when certain events occur, enhancing the automation and responsiveness of your observability setup (for more details, see Monitor Amazon Bedrock ). You can also use Amazon EventBridge to monitor events related to Amazon Bedrock.

Generative AI 128

Generative AI Data Ingestion AI AI 128

Unite.AI

AUGUST 5, 2024

This requires having employees on board with continuous learning and adaptability to changes in the process and looking at AI solutions as effective tools to make their day-to-day jobs easier and efficient. Can you explain the process of training AI models with field-tested data from vital infrastructure sites?

Machine Learning 147

Machine Learning Artificial Intelligence Artificial Intelligence Computer Vision 147

Marktechpost

JUNE 24, 2024

Impact of ChatGPT on Human Skills: The rapid emergence of ChatGPT, a highly advanced conversational AI model developed by OpenAI, has generated significant interest and debate across both scientific and business communities.

ChatGPT 116

ChatGPT Generative AI BERT NLP 116

TheSequence

JUNE 4, 2023

Currently, there are three key areas in LLM research that have the potential to have a "RLHF effect" in the next generation of models: Chain of Thought Reasoning: Techniques that simulate reasoning by breaking tasks into smaller steps. Continual Learning: Techniques that regularly update the knowledge in LLMs.

LLM 96

LLM ChatGPT ML Deep Learning 96

Marktechpost

DECEMBER 4, 2024

It could provide the foundation for brain-inspired AI systems, enabling human-like capabilities such as continual learning, energy efficiency, and improved safety. Advanced AI models leverage multi-channel data for automated, accurate image segmentation, minimizing the need for manual proofreading.

AI 87

AI AI Continuous Learning Automation 87

IBM Journey to AI blog

AUGUST 7, 2023

AI empowers real-time site performance monitoring and forecasting by automating data analysis, providing timely alerts and insights, and enabling predictive analytics. AI models can be designed to detect anomalies in real-time site performance data.

Algorithm 175

Algorithm AI AI Artificial Intelligence 175

AWS Machine Learning Blog

SEPTEMBER 23, 2024

The incorporation of continuous learning enables the model training to automatically adapt and learn from new challenging scenarios as they arise. This self-improving capability helps ensure the system maintains high performance, even as shopping environments continue to evolve.

Neural Network 89

Neural Network AI AI Algorithm 89

LevelAI

JANUARY 19, 2024

Enter generative AI , a transformative technology poised to redefine the essence of customer experience. No longer relegated to simple automation, generative AI is rapidly maturing, offering CX leaders a treasure trove of possibilities, from unlocking the power of your customer’s voice to crafting personalized and immersive experiences.

Generative AI 59

Generative AI Automation AI AI 59

Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Flipboard

DECEMBER 13, 2024

Founded in 2004 in Boise, Idaho, Clearwater has grown into a global software-as-a-service (SaaS) powerhouse, providing automated investment data reconciliation and reporting for over $7.3 AWS has been at the forefront of domain adaptation, creating a framework to allow creating powerful, specialized AI models.

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Generative AI AI AI Machine Learning 127

How to Learn Machine Learning

JUNE 21, 2024

AI-driven software testing can address these challenges by: Automating complex tasks Reducing time-to-market Improving the accuracy and efficiency of the testing process AI-driven software testing techniques AI-driven software testing techniques enhance testing accuracy, efficiency, and coverage.

Automation 52

Automation Machine Learning AI AI 52