GenAI Platform Squirro Reports Nearly 60% Growth

Zurich, Switzerland. February 6, 2025 — Squirro, an enterprise GenAI platform provider, announced it closed out the second half of 2024 with a year-on-year increase in revenue of almost 60 percent and a growth forecast to exceed this in 2025. The company attributed this to several factors: acquisitions and partnerships, new technology and its ability to […]

How the Age of Generative AI is Changing a CISOs Approach to Security

In this contributed article, Chris Peake, Chief Information Security Officer (CISO) and Senior Vice President of Security at Smartsheet, explores how the role of CISOs is evolving to address new security challenges posed by generative AI. The article underscores the importance of collaboration and adaptability to keep organizations secure as AI is expected to continue to reshape cybersecurity in 2025.

How Generative AI Can Transform the Future of Identity and Access Management

In this contributed article, Anirban Bhattacharya dives into how generative AI addresses persistent challenges like proper role definition, inefficient access reviews, and the limitations of static authentication methods. From AI-driven threat detection to delivering seamless, personalized user experiences, this article outlines the innovative ways generative AI is shaping the future of IAM.

Why Trust is the Foundation of AI Content Production

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.

AI Beyond LLMs: How LQMs Are Unlocking the Next Wave of AI Breakthroughs

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

[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. 

AI Has Run Into Data Shortage and Overtraining Problems

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.

Is AI-Powered Surveillance Contributing to the Rise of Totalitarianism?

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

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.

Unlocking the Power of Generative AI to Support the Software Development Lifecycle

In this contributed article, Keri Olson, IBM’s Vice President of Product Management, AI for Code, discusses how AI code assistants can help accelerate the software development lifecycle (SDLC), enhance productivity, and improve code quality through generative AI.