Google Research AI blog

MARCH 16, 2023

The Impact Lab team, part of Google’s Responsible AI Team , employs a range of interdisciplinary methodologies to ensure critical and rich analysis of the potential implications of technology development. We examine systemic social issues and generate useful artifacts for responsible AI development.

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Unite.AI

FEBRUARY 17, 2025

At the next level, AI agents go beyond predictive AI algorithms and software with their ability to operate autonomously, adapt to changing environments, and make decisions based on both pre-programmed rules and learned behaviors. At SymphonyAI, our mission is to provide enterprises with AI agents that deliver operational excellence.

Automation 147

Automation Responsible AI Generative AI AI Modeling 147

Unite.AI

DECEMBER 19, 2024

Following on agentic automation, cognitive process intelligence will focus on providing deeper context around business operations,essentially giving AI the capability to act as an operational consultant. Beyond transparency, a commitment to responsible AI will be a priority as companies try to gain the trust of clients and consumers.

Automation 147

Automation AI AI Artificial Intelligence 147

Unite.AI

APRIL 13, 2024

Skills Gap/Upskilling: Using AI effectively requires a new skillset within marketing teams. Moreover, upskilling current employees or recruiting individuals with AI and data analysis expertise might require additional investment. Ready to use the power of AI in your marketing strategy?

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Marktechpost

NOVEMBER 22, 2024

Arize helps ensure that AI models are reliable, accurate, and unbiased, promoting ethical and responsible AI development. It’s a valuable tool for building and deploying AI models that are fair and equitable. It helps developers identify and fix model biases, improve model accuracy, and ensure fairness.

Automation 109

Automation Explainability Data Analysis Machine Learning 109

Unite.AI

JULY 24, 2024

AI-Driven Performance, Personalization, and Security Enhancements Performance Enhancement Apple’s AI algorithms have altered device operations, making them faster and more responsive. AI optimizes system processes and resource allocation, even under heavy load, ensuring smooth performance.

Machine Learning 223

Machine Learning NLP AI AI 223

Unite.AI

NOVEMBER 21, 2023

A substantial majority, 77%, are using AI for programming tasks, indicating a significant shift towards automation in software development. Data analysis emerges as the second most common use case, with 70% of enterprises employing AI for this purpose.

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Unite.AI

SEPTEMBER 18, 2024

xAI has not publicly detailed specific safety measures implemented in Grok-2, leading to discussions about responsible AI development and deployment. Grok-2 represents a significant advancement in AI technology, offering improved performance across various tasks and introducing new capabilities like image generation.

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AWS Machine Learning Blog

OCTOBER 16, 2024

Solution overview To address the challenges of automation, DPG Media decided to implement a combination of AI techniques and existing metadata to generate new, accurate content and category descriptions, mood, and context. Video data analysis with AI wasn’t required for generating detailed, accurate, and high-quality metadata.

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Metadata Automation Generative AI AI 116

Unite.AI

APRIL 24, 2024

Microsoft states that the development of the Phi-3 models has followed the company's Responsible AI principles and standards, which emphasize accountability, transparency, fairness, reliability, safety, privacy, security, and inclusiveness.

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AI Modeling Responsible AI Data Analysis AI 130

ODSC - Open Data Science

MARCH 18, 2025

A published author on AI and large language models, she shares her expertise through insightful articles and technical writing. Cal Al-Dhubaib, Head of AI and Data Science atFurther Cal Al-Dhubaib is a leading voice in responsible AI, specializing in high-risk sectors like healthcare, energy, and defense.

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Data Science Machine Learning Software Engineer Data Scientist 64

Marktechpost

JUNE 18, 2024

This framework quickly gained traction among researchers, developers, and enthusiasts, who utilized it to develop innovative applications across various domains such as market research, education, and medical data analysis. Responsible AI: Microsoft Research emphasizes the importance of safe and ethical AI development.

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Python Responsible AI Data Extraction Data Analysis 132

Towards AI

MARCH 6, 2025

By creating tools that dont address actual issues but rather create the illusion of necessity, the AI industry has fallen into the trap of fostering artificial needs. AI can also play a crucial role in specialized fields like medical diagnostics, fraud detection, and scientific research. Remember: A tool without purpose becomes noise.

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AI AI Data Analysis AI Tools 57

AWS Machine Learning Blog

APRIL 8, 2025

In this post, we explore how to use Amazon Bedrock for synthetic data generation, considering these challenges alongside the potential benefits to develop effective strategies for various applications across multiple industries, including AI and machine learning (ML). This is where differential privacy enters the picture.

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Unite.AI

MAY 14, 2024

Therefore, policymakers, technologists, and citizens must cooperate to benefit from AI without compromising democratic integrity. The Mechanics of AI-Generated Messages AI-generated messages are created through data analysis and machine learning algorithms.

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Algorithm Chatbots Machine Learning AI 214

ODSC - Open Data Science

APRIL 4, 2025

Beyond Chatbots: Cognitive Cartography for Human-Driven AI-Powered Visual DataScience Explore the concept of cognitive cartography in this session, which delves into human-centric approaches to AI-powered visual data science.

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Marktechpost

APRIL 8, 2024

This feature is critical for legal function calls, as it helps reduce the risk of generating inaccurate or irrelevant responses. Previous versions struggled with data analysis queries that demanded executing code and using the results to inform responses. Key Takeaways: Functionary 2.4

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IBM Journey to AI blog

DECEMBER 20, 2023

Unsupervised machine learning Unsupervised learning algorithms—like Apriori, Gaussian Mixture Models (GMMs) and principal component analysis (PCA)—draw inferences from unlabeled datasets, facilitating exploratory data analysis and enabling pattern recognition and predictive modeling.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Marktechpost

JULY 5, 2024

Data Analytics: ChatGPT streamlines data interpretation and report generation. The AI tool democratizes data analysis by making accessing and understanding insights easier for different organizational levels. In conclusion, ChatGPT offers many applications that can significantly benefit businesses.

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ChatGPT Automation Chatbots Data Analysis 122

Unite.AI

SEPTEMBER 2, 2024

Similarly, the UK's Civil Service uses AI to filter applications and assess diversity, which improves the fairness of its hiring practices. Developing Inclusive Policies Generative AI is transforming policy development by enabling a more inclusive approach through data analysis.

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Unite.AI

JANUARY 23, 2025

AI tools have seen widespread business adoption since ChatGPT's 2022 launch, with 98% of small businesses surveyed by the US Chamber of Commerce using them. In practical terms, this means standardizing data collection, ensuring accessibility, and implementing robust data governance frameworks.

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Responsible AI AI Tools Data Quality Data Analysis 113

Unite.AI

JANUARY 1, 2024

Fast Business Procedures Over the next few years, Generative AI can cut SG&A (Selling, General, and Administrative) costs by 40%. Generative AI accelerates business process management by automating complex tasks, promoting innovation, and reducing manual workload.

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Generative AI AI AI Large Language Models 223

ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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AWS Machine Learning Blog

OCTOBER 16, 2024

Methods such as field surveys and manual satellite data analysis are not only time-consuming, but also require significant resources and domain expertise. This often leads to delays in data collection and analysis, making it difficult to track and respond swiftly to environmental changes.

Machine Learning 109

Machine Learning ML Data Scientist Robotics 109

ODSC - Open Data Science

MARCH 25, 2025

Proprietary or custom AI models (36%) highlight the growing trend of companies building in-house AI systems. This is particularly relevant in industries such as finance, healthcare, and legal services, where tailored AI solutions ensure compliance and data security.

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Software Development Conversational AI Automation Data Science Engineer 52

Marktechpost

NOVEMBER 16, 2024

Data Analytics: ChatGPT streamlines data interpretation and report generation. The AI tool democratizes data analysis by making accessing and understanding insights easier for different organizational levels. In conclusion, ChatGPT offers many applications that can significantly benefit businesses.

ChatGPT 111

ChatGPT Automation Chatbots Data Analysis 111

Flipboard

DECEMBER 18, 2023

ISTE has made this viewpoint a priority, offering professional development and resources that focus on learning about and effectively integrating AI , including a guide for school leaders and a teacher course. The report outlined recommendations for guidelines and guardrails for the responsible use of AI in educational technology.

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NVIDIA

JANUARY 11, 2024

The most popular uses for AI were in operations, risk and compliance, and marketing. To improve operational efficiency, financial organizations are using AI to automate manual processes, enhance data analysis and inform investment decisions. Recruiting and retaining AI experts remains a challenge, as do budget concerns.

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Large Language Models Data Scientist Generative AI AI 137

Marktechpost

AUGUST 9, 2024

One of the most notable improvements is the increased processing power, allowing faster and more efficient data analysis. This enhancement is crucial in handling the massive datasets that modern AI systems must process to deliver accurate and reliable results. Image Source Enhanced Capabilities and Features EXAONE 3.0

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AI Researcher AI Research NLP Natural Language Processing 109

Marktechpost

MARCH 12, 2024

Croissant adds extensive layers for data resources, default ML semantics, metadata, and data management to make it even more ML-relevant. From the beginning, the primary objective of the Croissant initiative was to promote Responsible AI (RAI). This will help dataset search engines find them more easily.

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Metadata Machine Learning ML Data Discovery 120

Towards AI

JULY 27, 2024

Dedicated to safety and security It is a well-known fact that Anthropic prioritizes responsible AI development the most, and it is clearly seen in Claude’s design. This generative AI model is trained on a carefully curated dataset thus it minimizes biases and factual errors to a large extent.

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ChatGPT Prompt Engineering Prompt Engineer Explainability 119

ODSC - Open Data Science

OCTOBER 3, 2023

You’ll need to experiment with different input formats, keywords, or context-setting instructions to coax the AI model into generating the output you want. Data Analysis and Interpretation Data plays a critical role in prompt engineering. The best place to do this is at ODSC West 2023 this October 30th to November 2nd.

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Prompt Engineering Prompt Engineer Large Language Models Data Science 97

IBM Journey to AI blog

JUNE 23, 2023

AI analyzes financial statements, notes, disclosures and other and applicable data, then translates and interprets the data to provide context-rich answers to your questions. The accuracy of the generated content can also be improved through iterative training and feedback loops.

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ODSC - Open Data Science

AUGUST 11, 2023

EVENT — ODSC APAC 2023 Virtual Conference: August 22–23rd, 2023 Join us for a deep dive into the latest data science and AI trends, tools and techniques: from LLMs to data analytics and from machine learning to responsible AI.

Data Science 98

Data Science Data Scientist Machine Learning Prompt Engineer 98

AWS Machine Learning Blog

FEBRUARY 10, 2025

Appian uses the robust infrastructure of Amazon Bedrock and Anthropics Claude LLMs to offer fully integrated, pre-built generative AI skills that help developers enhance and automate business processes using low-code development. This requires real-time data analysis and decision-making capabilities that traditional systems might not provide.

Generative AI 69

Generative AI Automation Data Extraction AI 69

Marktechpost

SEPTEMBER 12, 2024

OpenAI compared responses from OpenAI o1-preview and GPT-4o on various prompts across domains. Human evaluators overwhelmingly preferred OpenAI o1-preview’s responses in areas that required reasoning, such as data analysis, coding, and math.

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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.

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Automation Prompt Engineer Prompt Engineering Categorization 124