Browsing: When

As ar‌‌t‌‌i‌‌ficia‌‌l int‌‌el‌ligence moves fr‌‌om specul‌‌ative sandbox‌‌e‌s into cor‌e enter‌p‌‌rise operat‌‌io‌‌ns, tech‌‌nology leader‌s face a funda‌‌men‌tal arch‌itectural question: wh‌‌en sho‌uld an org‌‌an‌‌izat‌‌io‌‌n run its AI and predic‌tive analy‌‌t‌ics wor‌kloads on Dat‌‌abri‌c‌ks rathe‌r th‌‌an traditiona‌‌l cloud da‌t‌a wareh‌ouses or sta‌‌ndalone ma‌c‌‌hin‌‌e lea‌‌rn‌‌ing to‌ols?

As New York Fashion Week descends, editors, buyers and industry watchers flock to the Big Apple amid the usual assortment of excitement and intrigue: which of the world’s premier designers will impress as they unveil their latest lines and sartorial creations? It is a sign of the times that even this glamorous event is not…

The threat landscape across Australia and New Zealand is evolving rapidly as attackers adopt AI-powered tools to accelerate every stage of cyber operations. Traditional attack models that relied on separate phases for intelligence gathering, attack preparation, and exploitation are giving way to highly automated campaigns capable of identifying, adapting to, and exploiting vulnerabilities in near…

A data breach does not automatically translate into legally actionable damage. In cybersecurity discussions, the term “Cognizable Damage” can be understood as harm that the law recognizes as sufficiently concrete to support regulatory action, compensation, or—depending on the applicable statute—standing to bring a lawsuit.

For most of the software industry’s history, companies bought software and their employees used it to do their jobs. Software has always automated work, from calculating payroll to routing customer calls. What’s changing with AI agents is how much of the work some software companies can take responsibility for delivering themselves. In sales, customer service…