SurrealDB, the ultimate multi-model database, announced the launch of Surreal Cloud, a Database-as-a-Service (DBaaS) offering. In its first iteration, enterprises now have access to a fully managed solution for developers that want to leverage the power and flexibility of SurrealDB without the complexities of managing infrastructure.
SurrealDB Launches Surreal Cloud, a Fully Managed Database Service That Tackles the Complexity Issues Faced by Developer Teams
December 7, 2024 by
Why Trust is the Foundation of AI Content Production
December 6, 2024 by
In this contributed article, Joshua Ray, founder and CEO of Blackwire Labs, discusses how AI is ushering in a new era of productivity and innovation, but it’s no secret that there are urgent issues with the reliability of systems such as LLMs and other forms of AI-enabled content production. From ubiquitous LLM hallucinations to the lack of transparency around how “black box” machine learning algorithms make predictions and decisions, there are fundamental problems with some of the most widely used AI applications. This hinders AI adoption and generates resistance to the technology.
Tuskira Emerges from Stealth with $28.5M to Launch AI-Powered Unified Threat Defense Platform
December 6, 2024 by
Tuskira, a pioneering threat defense platform leveraging an AI-powered security mesh, has launched out of stealth mode with $28.5 million in funding. The round was led by Intel Capital and SYN Ventures, with participation from Sorenson Capital, Rain Capital, Wipro Ventures, and other key industry leaders.
AI Beyond LLMs: How LQMs Are Unlocking the Next Wave of AI Breakthroughs
December 5, 2024 by
In this contributed article, Dr. Stefan Leichenauer, Vice President of Engineering and lead scientist at SandboxAQ, discusses the profound evolution that is now emerging: Large Quantitative Models (LQMs), designed to tackle complex real-world problems in areas such as healthcare, climate science, and materials design, are set to revolutionize industries and unlock new AI-powered breakthroughs for some of the world’s greatest challenges.
Generative AI’s Accuracy Depends on an Enterprise Storage-driven RAG Architecture
December 4, 2024 by
[SPONSORED POST] In this sponsored article, Eric Herzog, CMO of Infinidat, suggests that as part of a transformative effort to bring one’s company into the AI-enhanced future, it’s an opportunity to leverage intelligent automation with RAG to create better, more accurate and timely responses. Further, to optimize your storage systems for this enhancement, look for industry-leading performance, 100% availability and cyber storage resilience. They make you RAG-ready.
New AI Service will Replace Entire Marketing Department
December 4, 2024 by
Experienced marketer is launching a new AI-based product designed to replace an entire marketing department in small and medium-sized businesses. After a ten-year career in marketing, including four years as CMO in digital agencies, Mikalai Kudlasevich came up with the idea of creating a service designed to integrate AI agents that would cope with real market challenges.
AI Has Run Into Data Shortage and Overtraining Problems
December 3, 2024 by
In this contributed article, Jason Hardy, Chief Technology Officer for Artificial Intelligence for Hitachi Vantara, explores how the growing demand for training data is testing the limits of AI development and triggering challenges like overtraining, which can lead to regression or biased outcomes.
How to Craft an AI Plan for Customer Service
December 2, 2024 by
In this contributed article, Chris Filly, Vice President of Marketing for CX automation company Callvu, discusses how AI can assist in customer service, but getting AI right requires a well-defined strategy and a commitment to continuous improvement. By taking an intelligent approach, customer service leaders can use AI to deliver great customer experiences, empower support teams, and dramatically reduce service costs.
Is AI-Powered Surveillance Contributing to the Rise of Totalitarianism?
November 30, 2024 by
In this contributed article, Aayam Bansal explores the increasing reliance on AI in surveillance systems and the profound societal implications that could lead us toward a surveillance state. This piece delves into the ethical risks of AI-powered tools like predictive policing, facial recognition, and social credit systems, while raising the question: Are we willing to trade our personal liberties for the promise of safety?
Embracing AI Devices in the Workplace: Navigating the Ethical Challenges
November 29, 2024 by
In this contributed article, Mary Giery-Smith, Senior Publications Manager for CalypsoAI, believes that by developing a culture grounded in responsible AI use, businesses can sidestep unintended pitfalls and build a workplace that values ethical integrity as much as innovation.
