AI News

NOVEMBER 15, 2024

The document outlines various threats such as cyber offences, biological risks, loss of control over autonomous AI models, and large-scale disinformation. By acknowledging the continuously evolving nature of AI technology, the draft recognises that this taxonomy will need updates to remain relevant.

AI Modeling 255

AI Modeling Big Data AI AI 255

Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. MLOps are practices that automate and simplify ML workflows and deployments. MLOps make ML models faster, safer, and more reliable in production.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

AI News

OCTOBER 22, 2024

Organisations must also adhere to ethical AI principles and maintain clear documentation of their systems’ functionality, limitations, and intended use. See also: AI governance gap: 95% of firms haven’t implemented frameworks Want to learn more about AI and big data from industry leaders?

Big Data 247

Big Data AI AI Explainability 247

AWS Machine Learning Blog

NOVEMBER 14, 2024

Solution overview This solution uses the Amazon Bedrock Knowledge Bases chat with document feature to analyze and extract key details from your invoices, without needing a knowledge base. Importantly, your document and data are not stored after processing. Install Python 3.7 or later on your local machine.

Automation 103

Automation Python Generative AI Metadata 103

AWS Machine Learning Blog

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. Send a pending documents reminder to the policy holder of claim 2s34w-8x.

Automation 134

Automation Generative AI Categorization Python 134

IBM Journey to AI blog

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. With watsonx organizations can: Operationalize AI workflows to increase efficiency and accuracy at scale.

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Metadata Explainability Automation Explainable AI 244

AWS Machine Learning Blog

OCTOBER 29, 2024

For instance, businesses can use batch inference to generate embeddings for vast document collections, classify extensive datasets, or analyze substantial amounts of user-generated content efficiently. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock.

Automation 114

Automation Generative AI Metadata Data Scientist 114

IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. 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 253

Data Scientist Metadata Responsible AI Explainability 253

Unite.AI

JUNE 2, 2023

The authors express their concerns about the pace with which AI systems are being developed poses severe socioeconomic challenges. Moreover, the letter states that AI developers should work with policymakers to document AI governance systems. How Can We Overcome the Risks of AI Systems?

Responsible AI 231

Responsible AI AI AI AI Development 231

IBM Journey to AI blog

OCTOBER 30, 2024

IBM watsonx™ can be used to automate the identification of regulatory obligations and map legal and regulatory requirements to a risk governance framework. This solution supports the validation of adherence to existing obligations by analyzing governance documents and controls in place and mapping them to applicable LRRs.

Prompt Engineer 285

Prompt Engineer Prompt Engineering ETL Machine Learning 285

Unite.AI

DECEMBER 9, 2024

Specializing in tools that integrate with platforms like Atlassian, Salesforce, and Microsoft, Appfire offers a robust suite of apps tailored for project management, automation, reporting, and IT service management. Powered by Atlassians Rovo AI, it assists users in configuring new automations or troubleshooting existing ones.

Automation 130

Automation AI AI OpenAI 130

Marktechpost

NOVEMBER 13, 2024

These AI agents, touted as autonomous tools capable of performing various tasks on behalf of users, are part of OpenAI’s strategy to push boundaries in the rapidly evolving landscape of artificial intelligence. These agents could enhance productivity, manage scheduling, and even automate repetitive business tasks.

Automation 92

Automation OpenAI Artificial Intelligence Artificial Intelligence 92

Unite.AI

NOVEMBER 21, 2023

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. Interestingly, the survey also highlights generative AI’s role in content creation.

Generative AI 227

Generative AI Data Analysis Automation AI 227

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 120

Automation Prompt Engineer Prompt Engineering Categorization 120

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

Unite.AI

FEBRUARY 22, 2024

It also incorporates fraud detection through automated analysis of patterns and user behaviors. Roadzen's automated claims platform xClaim , seamlessly engages customers and insurance carriers in an efficient claims process. Could you share your vision for the future of insurance and AI?

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Computer Vision Machine Learning Robotics Automation 182

Unite.AI

NOVEMBER 21, 2024

They support us by providing valuable insights, automating tasks and keeping us aligned with our strategic goals. How is Generative AI reshaping traditional IT service models, particularly in industries that have been slower to adopt digital transformation? Just 18 months ago, these services were not the norm.

DevOps 147

DevOps Automation Responsible AI Software Development 147

Unite.AI

OCTOBER 10, 2024

AI advancements are enhancing underwriting precision, streamlining claims management, simplifying distribution, while elevating customer service through personalized experiences. As AI tools analyze vast data sets, they not only expedite processes but also improve fraud detection and introduce efficiency and accuracy in auto insurance.

Auto-complete 173

Auto-complete Computer Vision Automation AI 173

Unite.AI

SEPTEMBER 26, 2024

While scripting has long been a way to automate individual engineering tasks, it is not scalable across an entire operations team. Enter AI and more specifically, the promise of generative AI , which over the last two years has been a catalyst for the market.

Automation 147

Automation AI AI Responsible AI 147

IBM Journey to AI blog

APRIL 11, 2024

Provide criteria on how pilot projects will be judged that includes AI governance artifacts (documentation outputs) including factsheets, audit reports, layers-of-effect analysis (intended, unintended, primary and secondary impacts) and functional and non-functional requirements of the model in operation.

Responsible AI 203

Responsible AI AI AI AI Modeling 203

AWS Machine Learning Blog

SEPTEMBER 13, 2024

In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. This enables a quicker response and more accurate decision-making. Intricate workflows that require dynamic and complex API orchestration can often be complex to manage.

Metadata 127

Metadata Automation LLM NLP 127

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. K-means clustering is commonly used for market segmentation, document clustering, image segmentation and image compression.

Machine Learning 243

Machine Learning Neural Network Algorithm Computer Vision 243

AWS Machine Learning Blog

NOVEMBER 15, 2024

This wealth of content provides an opportunity to streamline access to information in a compliant and responsible way. Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles.

Generative AI 122

Generative AI Chatbots AI AI 122

Marktechpost

JUNE 8, 2024

Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and Dynamics 365 Commerce. It also covers deep learning fundamentals and the use of automated machine learning in Azure Machine Learning service.

Artificial Intelligence 126

Artificial Intelligence Artificial Intelligence Machine Learning Prompt Engineer 126

John Snow Labs

OCTOBER 2, 2023

Preaparing for Testing You can check the LangTest documentation or tutorials for detailed view of config. The post Automating Responsible AI: Integrating Hugging Face and LangTest for More Robust Models appeared first on John Snow Labs. We are continuing with robustness testing for this model.

Responsible AI 52

Responsible AI Automation NLP Natural Language Processing 52

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 119

Generative AI Responsible AI AI AI 119

Unite.AI

MAY 6, 2024

They can automate tasks, optimize processes, and empower individuals or small teams to achieve remarkable feats. These assistants adhere to Responsible AI principles, ensuring transparency, accountability, security, and privacy while continuously improving their accuracy and performance through automated evaluation of model output.

Automation 147

Automation Software Engineer Generative AI Software Development 147

Flipboard

NOVEMBER 27, 2024

To demonstrate, we create a generative AI-enabled Slack assistant with an integration to Amazon Bedrock Knowledge Bases that can expose the combined knowledge of the AWS Well-Architected Framework while implementing safeguards and responsible AI using Amazon Bedrock Guardrails. Enable third-party model access in Amazon Bedrock.

Generative AI 145

Generative AI Data Ingestion AI AI 145

AWS Machine Learning Blog

SEPTEMBER 24, 2024

Legal professionals often spend a significant portion of their work searching through and analyzing large documents to draw insights, prepare arguments, create drafts, and compare documents. The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs).

Generative AI 101

Generative AI ML AI AI 101

Unite.AI

JULY 1, 2024

It doesn’t matter if you are an online consumer or a business using that information to make key decisions – responsible AI systems allow all of us to fully and better understand information, as you need to ensure what is coming out of Generative AI is accurate and reliable.

Explainability 173

Explainability Software Engineer AI Modeling Responsible AI 173

AWS Machine Learning Blog

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

Insight Engine 132

Insight Engine Generative AI LLM AI 132

Unite.AI

AUGUST 14, 2024

Anand Kannappan is Co-Founder and CEO of Patronus AI , the industry-first automated AI evaluation and security platform to help enterprises catch LLM mistakes at scale. Our mission is to enhance enterprise confidence in generative AI. What initially attracted you to computer science?

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LLM AI AI Large Language Models 130

The MLOps Blog

JUNE 27, 2023

User support arrangements Consider the availability and quality of support from the provider or vendor, including documentation, tutorials, forums, customer service, etc. This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MARCH 27, 2024

This is achieved through practices like infrastructure as code (IaC) for deployments, automated testing, application observability, and complete application lifecycle ownership. Lead time for changes and change failure rate KPIs aggregate data from code commits, log files, and automated test results.

DevOps 110

DevOps Generative AI Automation Software Development 110

John Snow Labs

SEPTEMBER 26, 2024

Purpose: The aim of this study is to develop a novel method for automated generation of radiology reports utilizing radiologist impression texts. By leveraging advanced natural language processing techniques, we seek to streamline the reporting process, enhance efficiency, and maintain high accuracy in medical documentation.

Automation 52

Automation Natural Language Processing Large Language Models Responsible AI 52

Unite.AI

SEPTEMBER 6, 2024

Named an “Industry Luminary” by Speech Technology Magazine, he previously founded industry pioneer Yap, the world’s first high-accuracy, fully-automated cloud platform for voice recognition. After its products were deployed by dozens of enterprises, the company became Amazon’s first AI-related acquisition.

Large Language Models 147

Large Language Models ETL Responsible AI Computer Vision 147

AWS Machine Learning Blog

JUNE 20, 2024

In addition, RAG architecture can lead to potential issues like retrieval collapse , where the retrieval component learns to retrieve the same documents regardless of the input. Generation is the process of generating the final response from the LLM.

Auto-classification 125

Auto-classification LLM Prompt Engineer Prompt Engineering 125