Diogo Ribeiro Braga’s Post

🚀 Perplexity Launches Sonar Reasoning – A New API for Advanced AI Reasoning! Big news in the AI world! Perplexity has just introduced Sonar Reasoning, a powerful new API powered by DeepSeek's reasoning models for more precise answers and advanced analysis. 🔍 What Does Sonar Reasoning Offer? ✅ Chain-of-thought reasoning – enables more complex and logical responses ✅ Real-time web search – always up-to-date and relevant information ✅ Cited answers – transparency in data sourcing 💡 Key Benefits: 🔒 Privacy-first approach – zero data collection or sharing 🇺🇸 Hosted in U.S. data centers – ensuring security and reliability 🛑 Uncensored models – unrestricted answers for true information freedom This marks another major step toward democratizing access to advanced AI tools. How do you see the future of such solutions in the industry? #AI #Perplexity #SonarReasoning #MachineLearning #DeepSeek #Innovation

AI can now create a replica of your personality | MIT Technology Review

AI can now create a replica of your personality | MIT Technology Review

🔍 From synthesizing realistic data points across numerical, textual, and image formats to injecting anomalies for better error handling, AI is setting a new standard in test data generation. Plus, it respects privacy with advanced data masking techniques. Head of Quality Solutions, Frank Cress dives into how AI addresses the many challenges with test data generation. Are you leveraging AI in your test processes? We want to hear from you! Dive into the blog and let us know your thoughts through a short survey at the end. Don’t miss out on exploring dynamic data generation and its impacts on software quality and testing efficiency! 👉 Read full blog: https://hubs.la/Q02tDrBT0 #AITestData #SoftwareTesting #QualityAssurance #Trissential #Innovation

We’re thrilled to share that MathWorks has ranked #2 overall in the inaugural Chartis RiskTech AI 50, a benchmark for AI-driven risk and analytics solutions in financial services. Alongside this recognition, we secured category wins in Deployment, Machine Learning Development Environment, Use of AI in Cross-Industry Applications, and Code Generation and Control. These accolades highlight our dedication to empowering organizations with scalable AI deployments, accelerating model development, and applying AI to tackle challenges across sectors like climate risk, fraud detection, and customer analytics. By blending AI with traditional mathematical approaches, we’re helping institutions achieve reliable, production-ready solutions that drive impactful outcomes. Thank you to our customers, partners, and teams for making this achievement possible. Learn more about the Chartis RiskTech AI 50 and our award-winning solutions. https://lnkd.in/eweWQDVD #AI #RiskManagement #Innovation #MachineLearning

🚀 Exciting News! We're thrilled to announce our upcoming webinar, "Solving Information Hyperinflation: How AI is Driving New Approaches to Information Governance," hosted by IBRS on May 9th at 12pm noon. In today's digital age, the deluge of information can be overwhelming. But fear not, as we delve into the transformative role of Artificial Intelligence in managing this challenge. Join IBRS Global Research Director, Dr. Joseph Sweeney, and our CEO, Jesse Todd, for an enlightening exploration into the latest advancements in AI technologies for information governance. Here's what you'll learn: 📊 Strategies for effectively managing and organising vast amounts of data. 🧠 The latest advancements in AI technologies for information governance. 📈 Real-world case studies illustrating successful implementations of AI in information management. Ready to stay ahead in information management? Register now: https://lnkd.in/gr4f83TU #Webinar #InformationManagement #ArtificialIntelligence

RAG: It's Not Just About Grounding LLMs with vector databases anymore! While RAG (Retrieval Augmented Generation) is often associated with enhancing LLM accuracy and combating hallucinations, its true power lies in its adaptability to a wider range of applications. Think of RAG as a bridge between vast knowledge sources and intelligent action. Just as it grounds LLMs in factual data, it can also empower agents to: - Navigate complex APIs: Imagine agents that not only fetch raw API data but also interpret it within the context of your specific needs, providing insights tailored to your questions. - Orchestrate intricate workflows: Picture agents that break down complex tasks, retrieving relevant information from various sources (documents, databases, APIs) and synthesizing it to automate decision-making or generate comprehensive reports. - Automate creating charts, graphs, and tables from data retrieved. The key takeaway? RAG's core principle of retrieving relevant information to augment intelligent processes extends far beyond language models. It's a versatile tool for building smarter, more capable AI systems that can tackle a broad spectrum of challenges. Ready to unlock the full potential of RAG? Reach out to your CDW sales team to learn more! #RAG #AI #Innovation #cdw #cdwsocial #generativeAI Pete Johnson Brent Blawat Al Farmer

We’re thrilled to share that MathWorks has ranked #2 overall in the inaugural Chartis RiskTech AI 50, a benchmark for AI-driven risk and analytics solutions in financial services. Alongside this recognition, we secured category wins in Deployment, Machine Learning Development Environment, Use of AI in Cross-Industry Applications, and Code Generation and Control. These accolades highlight our dedication to empowering organizations with scalable AI deployments, accelerating model development, and applying AI to tackle challenges across sectors like climate risk, fraud detection, and customer analytics. By blending AI with traditional mathematical approaches, we’re helping institutions achieve reliable, production-ready solutions that drive impactful outcomes. Thank you to our customers, partners, and teams for making this achievement possible. Learn more about the Chartis RiskTech AI 50 and our award-winning solutions. https://spr.ly/6048QNxc4 #AI #RiskManagement #Innovation #MachineLearning

Power of Human-in-the-Loop (HITL) for Data Validation... where Humans & AI Collide.... Why HITL? AI can process mountains of data at lightning speed, but humans bring the precision, context, and critical thinking needed to validate it. From spotting subtle anomalies to ensuring compliance with industry standards, human expertise bridges the gap between automation and perfection. 🔍 Swift ProSys’ Edge: 350+ Data Validation Experts With over 350+ skilled agents specializing in data validation, we’ve built a robust HITL framework that: ✅ Enhances accuracy by combining AI efficiency with human scrutiny. ✅ Scales seamlessly to handle complex, high-volume datasets. ✅ Adapts dynamically to evolving client needs and industry benchmarks. Our experts don’t just “check boxes” – they dive deep to: - Verify data integrity and consistency. - Contextualize outputs for real-world applications. - Mitigate risks of bias, errors, or oversights. - The result? Data you can trust, decisions you can rely on. Let’s Talk Quality... Whether you’re scaling AI solutions or refining data pipelines, Swift ProSys’ HITL expertise ensures your outputs are not just fast, but flawless. Ready to elevate your data game? Let’s connect! #DataValidation #HumanInTheLoop #AI #DataQuality #Innovation #SwiftProsys #TechExcellence

Revolutionizing AI: How Agentic RAG is Transforming Information Retrieval and Processing The landscape of artificial intelligence is witnessing a groundbreaking evolution with the emergence of Agentic RAG (Retrieval-Augmented Generation) systems. As organizations increasingly grapple with vast amounts of data, this innovative approach redefines how we interact with and extract value from information. Unlike traditional RAG systems that follow a linear retrieve-and-generate pattern, Agentic RAG introduces a paradigm shift by incorporating autonomous agents capable of sophisticated decision-making and multi-step reasoning. These agents function as expert digital researchers, skillfully navigating through complex information landscapes to deliver precise, contextually relevant answers. What sets Agentic RAG apart is its dynamic architecture. At its core, it features an advanced input processing layer that deeply understands user intent, coupled with intelligent retrieval mechanisms that can leverage multiple data sources simultaneously. The system's agents possess the remarkable ability to make real-time decisions about which tools to employ, when to seek additional information, and how to synthesize findings into coherent, valuable insights. The practical applications of Agentic RAG are transformative. In research environments, it accelerates discovery by connecting disparate pieces of information. For customer support, it enables more nuanced and accurate responses to complex queries. In knowledge management, it helps organizations unlock the full potential of their information assets through intelligent analysis and synthesis. The real power of Agentic RAG lies in its adaptability. Unlike static systems, it can dynamically adjust its approach based on the complexity of queries and the depth of information required. This flexibility makes it an invaluable tool in scenarios where understanding subtle nuances and context is crucial for delivering accurate results. Looking ahead, Agentic RAG represents more than just a technological advancement – it's a fundamental shift in how we approach information retrieval and processing. By transforming passive search into an active, intelligent investigation process, it's setting new standards for AI-driven knowledge systems and paving the way for more sophisticated applications in the future. #artificialintelligence #machinelearning #rag #informationretrieval #datascience #ai #agenticai #innovation #technology #futureoftech #knowledgemanagement #airesearch #digitalinnovation #techtrends #datasynthesis #aiadvancement #intelligentsystems #emergingtechnology #techinnovation #aiapplications