Author Archives: Lucian Systems

IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight

If you play fantasy football, you are no stranger to data-driven decision-making. Every week during football season, an estimated 60 million Americans pore over player statistics, point projections and trade proposals, looking for those elusive insights to guide their roster decisions and lead them to victory. But numbers only tell half the story. For the […]

Security AI and automation are key in protecting against costly data breaches for retailers and consumer goods businesses

The rise of online commerce over the last two decades has completely transformed the retail and consumer goods industries—and with smartphone adoption accelerating globally, the share of shopping done via the internet will only continue to expand. But this growth in digital sales can come with a hefty price tag for retailers and consumer goods […]

Different Types of Security Attacks – Understanding the Insider Threat

Insider security threats refer to cybersecurity threats that originate from within an organization. These threats can come from employees, contractors, or any other insiders who have access to sensitive information. Concerns surrounding insider threats include data leaks, data theft, and intentional sabotage of systems or data, which can lead to financial loss, reputation damage, and […]

The U.S. Chamber of Commerce Foundation and IBM explore generative AI’s applications for skills-based hiring

The recent rise of generative artificial intelligence (AI) including large language models (LLMs) has inspired organizations in every industry to consider how AI can drive innovation. Leaders are increasingly recognizing the power of AI as well as its potential limitations and risks. It’s critical that leaders think carefully about how AI is created and applied and […]

In observability, “automation” is spelled I-N-S-T-A-N-A

Modern application environments need real-time automated observability to have visibility and insights into what is going on. Because of the highly dynamic nature of microservices and the numerous interdependencies among application components, having an automated approach to observability is essential. That’s why traditional solutions like New Relic struggle to keep up with monitoring in cloud-native […]

Amazon Bedrock Is Now Generally Available – Build and Scale Generative AI Applications with Foundation Models

This April, we announced Amazon Bedrock as part of a set of new tools for building with generative AI on AWS. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, including AI21 Labs, Anthropic, Cohere, Stability AI, and Amazon, along with a broad set […]

Threat Hunting in the Public Cloud: A Practical Guide

Threat hunting is a proactive cybersecurity process where specialists, known as threat hunters, search through networks and datasets to identify threats that existing automated security solutions may have missed. It’s about thinking like the attacker, anticipating their moves and countering them before they can cause harm. Threat hunting is an essential tool in our cybersecurity […]