Dataconomy

NOVEMBER 25, 2024

This patenting activity reflects China’s commitment to advancing AI technology. The UK has actively participated in global AI governance discussions, including hosting the first international AI safety summit in 2023. billion investment in the UAE-based tech firm G42, overseen by a national security adviser.

AI

Flipboard

JULY 15, 2025

In order for organizations to scale Agentic AI systems they need robust observability solutions to ensure reliability, performance, and responsible use of AI technology. Sujatha Kuppuraju is a Principal Solutions Architect at AWS, specializing in Cloud and, Generative AI Security.

AWS

Dataconomy

JULY 21, 2025

The European Union implemented its AI Act last year, releasing guidelines to ensure compliance and balance AI innovation with safety, culminating in the July 18 launch of the AI Act Explorer, a comprehensive guide for companies navigating these regulations.

Artificial Intelligence

Dataconomy

JUNE 30, 2025

On June 24, 2025, the Association for Computing Machinery (ACM) announced the launch of a new journal, ACM Transactions on AI Security and Privacy (TAISAP), designed to address critical research needs in securing AI systems and leveraging AI for cybersecurity.

AI

Dataconomy

JUNE 13, 2025

Image recognition is transforming how we interact with technology, enabling machines to interpret and identify what they see, similar to human vision. This remarkable capability has applications ranging from security and healthcare to social media and augmented reality.

Supervised Learning

AWS Machine Learning Blog

NOVEMBER 22, 2024

Since Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. Our pricing model varies depending on the project, but we always aim to provide cost-effective solutions.

AWS

Flipboard

NOVEMBER 20, 2024

Public safety organizations face the challenge of accessing and analyzing vast amounts of data quickly while maintaining strict security protocols. Mission-critical public safety applications require the highest levels of security and reliability when implementing technology capabilities.

AWS

Flipboard

FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. First we discuss end-to-end large-scale data integration with Amazon Q Business, covering data preprocessing, security guardrail implementation, and Amazon Q Business best practices.

AWS

Hacker News

JULY 9, 2025

Notes We broke security of Kigen (*) eUICC card with GSMA consumer certificates installed into it. According to Kigen: 1) eSIMs are "as secure and interoperable as SIM cards [.] According to Kigen: 1) eSIMs are "as secure and interoperable as SIM cards [.] These are now proved to be real bugs.

Database

databricks

JULY 11, 2025

As factories, utilities, and infrastructure generate terabytes of sensor data daily, made accessible through operational technology (OT) systems like Aveva CONNECT , a new paradigm is emerging. One where the convergence of information technology (IT) and OT unlocks unprecedented value through Data Intelligence.

Business Intelligence

Dataconomy

DECEMBER 4, 2024

According to Warren Barkley, senior director of product management at Google Cloud, the enterprise response to generative AI has been overwhelmingly positive, with reports indicating an 86% revenue increase among companies that have integrated these technologies. Importantly, neither model is trained on customer data.

AI

Dataconomy

APRIL 29, 2025

It could be restricted to specific teams (like R&D or safety), senior leadership, or even granted to other AI systems functioning as automated workers. Lessons from other risky fields The idea of regulating potentially dangerous technologies before they hit the market isn’t new. biosafety levels, security clearances).

AI

Hacker News

AUGUST 7, 2025

Jump to Content Research Research Who we are Back to Who we are menu Defining the technology of today and tomorrow. Standard data-intensive approaches to training models are costly, especially given the need to handle concept drift as safety policies evolve or as new types of unsafe ad content arise.

Clustering

databricks

AUGUST 12, 2025

Prompting techniques such as self-reflection, language-specific prompts, and generic security prompts significantly reduce insecure code generation. Large-scale testing with benchmarks like Secure Coding and HumanEval demonstrates that security prompting improves code safety with minimal trade-offs in quality.

Data Science

AWS Machine Learning Blog

OCTOBER 24, 2024

His areas of focus include generative AI, computer vision, and time-series data analysis Marcel Pividal is a Senior AI Services SA in the World- Wide Specialist Organization, bringing over 22 years of expertise in transforming complex business challenges into innovative technological solutions.

AWS

AWS Machine Learning Blog

DECEMBER 5, 2024

With trust as a cornerstone of AI adoption, we are excited to announce at AWS re:Invent 2024 new responsible AI tools, capabilities, and resources that enhance the safety, security, and transparency of our AI services and models and help support customers own responsible AI journeys.

AI

Dataconomy

JULY 30, 2025

This agreement aims to secure Microsoft’s continued access to OpenAI’s technology, even in the event that OpenAI achieves artificial general intelligence (AGI). Despite having already raised billions of dollars and functioning similarly to a traditional technology company, OpenAI desires to remove these constraints.

Azure

Flipboard

JULY 17, 2025

In this comprehensive breakdown, IBM Technology explore ten fantastic use cases for AI agents, showcasing their versatility across sectors like IoT-driven agriculture, Retrieval-Augmented Generation (RAG) for content creation, and real-time disaster response.

AI

Dataconomy

AUGUST 1, 2025

The EU AI Act is a comprehensive legislative framework designed to establish standards for the ethical and safe development and deployment of AI technologies. High-risk AI systems are defined as those that present a significant threat to health, safety, or fundamental rights. These systems are categorized into two main groups.

AI

Data Science Dojo

FEBRUARY 13, 2025

Cybersecurity Trends Stay updated on the latest security challenges and how developers can build more resilient, secure applications. Secure your spot and be part of the future of software innovation! Virtual Reality & Metaverse Get a firsthand look at how VR and AR are shaping the future of digital experiences.

Big Data

Dataconomy

JULY 29, 2025

The beta launch of Aristotle follows Harmonic’s recent Series B funding round, where it secured $100 million. Achim noted that similar verification technologies are used in high-stakes sectors, including medical devices and aviation, to ensure reliability and safety. This verification step does not involve AI.

AI

databricks

AUGUST 12, 2025

Whether you want to enforce safety guidelines, ensure factual accuracy, or align outputs with your brand, PGRM makes it possible to do so at scale and with transparency. It’s as flexible as an LLM judge, but as efficient and calibrated as a purpose-built classifier. Why does this matter?

Data Science

Flipboard

JULY 3, 2025

IBM Technology team provide more insights into the critical strategies needed to secure LLMs against evolving threats. You’ll uncover how proxy-based security frameworks act as digital gatekeepers, intercepting and neutralizing risks in real time.

AI

Dataconomy

DECEMBER 25, 2024

Regulatory and legal challenges The lack of clear regulations for healthcare AI introduces risks like inconsistent model performance and potential safety issues. Data privacy and security Healthcare data breaches are increasingly common, with over 82.6 million records exposed between January and October 2023.

Analytics

Dataconomy

APRIL 28, 2025

As AI technology continues to advance, the implementation of these guardrails becomes increasingly important to establish user trust and foster responsible interactions. However, this capability also poses challenges, particularly concerning the quality and safety of their outputs. What are LLM guardrails?

AI

AWS Machine Learning Blog

NOVEMBER 25, 2024

From the outset, AWS has prioritized responsible AI innovation and developed rigorous methodologies to build and operate our AI services with consideration for fairness, explainability, privacy and security, safety, controllability, veracity and robustness, governance, and transparency.

AWS

Dataconomy

MARCH 17, 2025

Responsible AI has emerged as a vital topic in the development of artificial intelligence technologies, reflecting the growing awareness of the ethical implications of AI systems. Responsible AI refers to the practices and frameworks that guide the ethical development and implementation of artificial intelligence technologies.

AI

Data Science Dojo

MARCH 10, 2025

It builds on the robust foundation of its predecessor while introducing several technological advancements that enhance its performance, safety, and usability. Technological Advancements The model leverages cutting-edge training techniques, including Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).

AI

Dataconomy

JULY 29, 2025

You can stack up backend protections and security protocols, but if the interface sends the wrong signals visually, functionally, or emotionally, none of it matters. Rounded buttons suggest safety. One such guide explains how people assess safety in digital environments. Trust is a feeling, not a feature Security is measurable.

Data Visualization

AWS Machine Learning Blog

APRIL 3, 2025

In the following sections, we explain how AI Workforce enables asset owners, maintenance teams, and operations managers in industries such as energy and telecommunications to enhance safety, reduce costs, and improve efficiency in infrastructure inspections. Security is paramount, and we adhere to AWS best practices across the layers.

AWS

AWS Machine Learning Blog

JANUARY 15, 2025

Additionally, we discuss the design from security and responsible AI perspectives, demonstrating how you can apply this solution to a wider range of industry scenarios. This focus stems from the need to protect sensitive data, maintain model integrity, and enforce ethical use of AI technologies. The cache is also updated.

AWS

Dataconomy

JUNE 19, 2025

Artificial intelligence (AI): AI technologies help automate data processing, allowing for quicker and more accurate analytics. Information technology (IT) In IT, data analytics are crucial for identifying problems swiftly, enabling organizations to maintain system integrity and performance.

Big Data

Dataconomy

JUNE 17, 2025

This powerful model not only enhances computational efficiency but also addresses tasks that require extensive resources, making it a remarkable advancement in technology. Challenges and security in grid computing Despite its advantages, grid computing faces various challenges that must be addressed to maintain effectiveness.

Cloud Computing

AWS Machine Learning Blog

DECEMBER 11, 2024

EBSCOlearning, a leader in the realm of online learning, recognized this need and embarked on an ambitious journey to transform their assessment creation process using cutting-edge generative AI technology. As EBSCOlearnings journey shows, the future of learning assessment is here, and its powered by AI.

AI

databricks

JULY 15, 2025

All organizations will rest easier knowing that the data is governed by the same permissions that are keeping their data secure as a whole. Large organizations will be able to create flexible, sharable, ML interfaces empowering business users to benefit from more ML models. Learn More Here.

Data Engineer

Flipboard

JULY 7, 2025

Using Amazon Bedrock, you can build secure, responsible generative AI applications. Despite advances in camera technology and storage capabilities, the intelligence layer interpreting video feeds often remains rudimentary. Security teams quickly become overwhelmed by the volume of notifications for normal activities.

AWS

AWS Machine Learning Blog

NOVEMBER 7, 2024

Always prioritize accuracy and safety. In this industry, finding the right components can be challenging, because it often involves navigating extensive catalogs and complex compatibility requirements. Review and approve these if you’re comfortable with the permissions. After deployment, the AWS CDK CLI will output the web application URL.

AWS