Unite.AI

MARCH 6, 2025

While we design to automate, we dont seek to automate an entire workflow. We understand where in the process human expertise is most valuable, then integrate and optimize the AI to benefit from that expertise. TaskGPT is an AI platform that uses GenAI to boost productivity and improve customer experiences.

Automation 165

Automation AI Modeling Natural Language Processing Explainability 165

AI News

FEBRUARY 7, 2025

A report published today by the National Engineering Policy Centre (NEPC) highlights the urgent need for data centres to adopt greener practices, particularly as the government’s AI Opportunities Action Plan gains traction. Some of this will come from improvements to AI models and hardware, making them less energy-intensive.

Big Data 285

Big Data AI AI Responsible AI 285

AI News

JANUARY 21, 2025

By ensuring that datasets are inclusive, diverse, and reflective of local languages and cultures, developers can create equitable AI models that avoid bias and meet the needs of all communities. These safeguards are especially vital for promoting human-centred AI that benefits all of society.

Big Data 314

Big Data AI AI AI Strategy 314

Unite.AI

FEBRUARY 17, 2025

Today, she receives prioritized alerts with automated research and suggested content that can generate SARs in minutes. Gartner's 2024 Hype Cycle for Emerging Technologies highlighted autonomous AI as one of the year's top four emerging technology trendsand with good reason.

Automation 147

Automation Responsible AI Generative AI AI Modeling 147

Unite.AI

FEBRUARY 5, 2025

Pilot projects and phased implementation strategies can provide tangible evidence of AI's benefits and help reduce perceived financial risks. AI models perform well with high-quality, well-organized data. Companies must evolve regulations while building trust through transparency and responsible AI practices.

AI Modeling 130

AI Modeling Chatbots AI AI 130

AWS Machine Learning Blog

NOVEMBER 14, 2024

You can trigger the processing of these invoices using the AWS CLI or automate the process with an Amazon EventBridge rule or AWS Lambda trigger. It takes several parameters, such as prompt, source type (S3), model ID, AWS Region, and S3 URI of the invoice. For this walkthrough, we will use the AWS CLI to trigger the processing.

Automation 110

Automation Python Generative AI Metadata 110

Unite.AI

JANUARY 17, 2025

Generative AI transforms industries by enabling unique content creation, automating tasks, and leading innovation. Over the past decade, Artificial Intelligence (AI) has achieved remarkable progress. Technologies like OpenAIs GPT-4 and Googles Bard have set new benchmarks for generative AI capabilities.

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Unite.AI

NOVEMBER 28, 2024

SAP’s ERP systems have long supported business operations, but with AI, SAP aims to help companies become intelligent enterprises. This means enabling proactive decisions, automating routine tasks, and gaining valuable insights from large amounts of data. SAP’s commitment to responsible AI does not stop at transparency.

AI 162

AI AI Natural Language Processing NLP 162

IBM Journey to AI blog

FEBRUARY 8, 2023

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Achieving Responsible AI As building and scaling AI models for your organization becomes more business critical, achieving Responsible AI (RAI) should be considered a highly relevant topic.

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Responsible AI Explainability Explainable AI Automation 130

AI Weekly

DECEMBER 7, 2023

Powered by superai.com In the News Google says new AI model Gemini outperforms ChatGPT in most tests Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.

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Convolutional Neural Networks ChatGPT Robotics AI Modeling 263

Unite.AI

NOVEMBER 4, 2024

At the end of the day, we aim to create AI that goes beyond standard interactions, offering users a deeply engaging, emotionally intelligent experience that keeps them returning. influence the training and development of your AI models? How does the data collected from your B2C platform botify.ai

Conversational AI 246

Conversational AI Explainability Chatbots AI 246

IBM Journey to AI blog

MAY 9, 2023

A lack of confidence to operationalize AI Many organizations struggle when adopting AI. According to Gartner , 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.

Metadata 227

Metadata Explainability Automation Responsible AI 227

Unite.AI

FEBRUARY 5, 2025

The Lenovo CIO Playbook 2025: It's Time for AI-nomics provides a deep dive into the transformative impact of AI, highlighting the economic, technological, and operational shifts that Chief Information Officers (CIOs) must navigate.

AI 130

AI AI Automation Machine Learning 130

Marktechpost

NOVEMBER 16, 2024

In recent years, generative AI has surged in popularity, transforming fields like text generation, image creation, and code development. Its ability to automate and enhance creative tasks makes it a valuable skill for professionals across industries.

Artificial Intelligence 104

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 104

AI News

OCTOBER 22, 2024

The models are free for non-commercial use and available to businesses with annual revenues under $1 million. The company emphasised its commitment to responsible AI development, implementing safety measures from the early stages. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

Big Data 302

Big Data AI AI Responsible AI 302

Marktechpost

NOVEMBER 22, 2024

AgentOpsAi helps ensure the reliability and efficiency of AI agents, reducing downtime and improving overall performance. It’s a valuable tool for maintaining the health and performance of AI systems. It’s especially useful for improving the accuracy and coherence of language models.

Automation 109

Automation Explainability Data Analysis Machine Learning 109

Unite.AI

JANUARY 1, 2025

AI is expected to add between $200 and $340 billion in value for banks annually, primarily through enhanced productivity. 66% of banking and finance executives believe these potential productivity gains from AI and automation are so significant that they must accept the risks to stay competitive.

Explainable AI 140

Explainable AI AI AI Natural Language Processing 140

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?

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Automation Artificial Intelligence Artificial Intelligence Generative AI 147

IBM Journey to AI blog

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

Data Scientist 234

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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

AWS Machine Learning Blog

JANUARY 30, 2025

Building an effective prompt for reviewing grant proposals using generative AI Prompt engineering is the art of crafting effective prompts to instruct and guide generative AI models, such as LLMs, to produce the desired outputs. Historically, AWS Health Equity Initiative applications were reviewed manually by a review committee.

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Prompt Engineer Prompt Engineering Generative AI Software Development 99

AWS Machine Learning Blog

JUNE 25, 2024

With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management. Its enterprise-grade security, privacy controls, and responsible AI features enable secure and trustworthy generative AI innovation at scale.

Automation 126

Automation Prompt Engineer Prompt Engineering Categorization 126

Unite.AI

DECEMBER 13, 2023

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024.

Explainability 290

Explainability AI AI Responsible AI 290

AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. This logic sits in a hybrid search component.

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AWS Machine Learning Blog

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Generative AI 71

Generative AI Responsible AI Automation LLM 71

IBM Journey to AI blog

MARCH 4, 2024

Where do you harness gen AI vs. predictive AI vs. AI orchestration? For instance, when automating password change requests, do you need a 175 billion parameter public foundation model, a fine-tuned smaller model, or AI orchestration to call APIs? Operations Incidents occur, even in an AI-first world.

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AI AI Artificial Intelligence Artificial Intelligence 300

ODSC - Open Data Science

MARCH 12, 2025

MLOps emerged as a necessary discipline to address the challenges of deploying and maintaining machine learning models in production environments. Initially, organizations struggled with versioning, monitoring, and automating model updates.

Data Science 52

Data Science ETL Machine Learning AI Engineer 52

Unite.AI

MAY 27, 2024

AI-enabled hyper-personalized banking can create a more tailored banking experience for customers, with bespoke financial products, investment advice, and fraud protection for their unique needs and preferences. This joint effort is essential to establish industry-wide standards, address ethical concerns, and ensure responsible AI deployment.

Machine Learning 223

Machine Learning Explainability Algorithm AI 223

John Snow Labs

SEPTEMBER 24, 2024

This talk covers recent regulation in this space, limitations that current Generative AI models have, and an automated testing framework that mitigates them. We describe the open-source LangTest library, which can automate the generation and execution of more than 100 types of Responsible AI tests.

Large Language Models 52

Large Language Models Responsible AI Automation AI 52

Unite.AI

NOVEMBER 21, 2023

Training models have become more user-friendly, and the rise of open-source models has reduced resource requirements. Secondly, the development of tools that simplify AI interactions, such as automated prompt generation and vector databases for document retrieval, has made AI more approachable for a broader range of organizations.

Generative AI 227

Generative AI Data Analysis Automation AI 227

AWS Machine Learning Blog

DECEMBER 11, 2024

Enter AI: A promising solution Recognizing the potential of AI to address this challenge, EBSCOlearning partnered with the GenAIIC to develop an AI-powered question generation system. This rating is later used for revising the questions. This process presented several significant challenges.

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Generative AI Large Language Models AI AI 93

IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Metadata 220

Metadata Explainability Automation Explainable AI 220

Unite.AI

SEPTEMBER 18, 2024

and position Grok-2 as a strong competitor to other leading AI models. xAI has not publicly detailed specific safety measures implemented in Grok-2, leading to discussions about responsible AI development and deployment. MMLU (Massive Multitask Language Understanding): 87.5% MMLU-Pro: 75.5% MathVista: 69.0% DocVQA: 93.6%

Large Language Models 304

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

ODSC - Open Data Science

AUGUST 8, 2024

The new Automated Responsible AI Testing Capabilities in the Generative AI Lab empower non-technical domain experts to define, run, and share test suites for AI model bias, fairness, robustness, and accuracy. There has long been a gap between how AI models should be tested and how they often are.

Responsible AI 40

Responsible AI Automation Data Science Large Language Models 40

John Snow Labs

JANUARY 21, 2025

NLP Logix, a leading artificial intelligence (AI) and machine learning (ML) consultancy has announced a strategic technology partnership with John Snow Labs, a premier provider of healthcare AI solutions. Together, were helping organizations transform how they operate the right way.

NLP 52

NLP Machine Learning Responsible AI Software Engineer 52

Unite.AI

OCTOBER 25, 2024

SLK's AI-powered platforms and accelerators are designed to automate and streamline processes, helping businesses reach the market more quickly. In mortgage requisition intake, AI optimizes efficiency by automating the analysis of requisition data, leading to faster processing times.

Automation 147

Automation Explainability Responsible AI AI Automation 147

AWS Machine Learning Blog

JULY 10, 2024

Responsible AI is a longstanding commitment at Amazon. From the outset, we have prioritized responsible AI innovation by embedding safety, fairness, robustness, security, and privacy into our development processes and educating our employees.

Generative AI 135

Generative AI Responsible AI AI AI 135