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Many people I’ve worked with have found on-device voice technology far faster and easier to deploy and scale as well since it typically doesn’t require the same outdated code or infrastructure as older voice technology platforms. (I’m talking specifically about the voice technology used to automate mobile workflows, not just direct picking.)

Real-time intelligence is no longer a nice-to-have, but necessary to attract customers and build future-proofed retail operations In the last 15 years, we’ve seen slow but significant advances in AI when it comes to retail. We can all remember when AI-powered “bots” or virtual assistants began showing up on most major retail websites to assist with consumer questions and complaints.

We celebrate “disruptiveness” in the tech space for its potential to revolutionize industries and drive innovation, often focusing on the excitement of what's new. But true disruption doesn't just add to our toolkit; it challenges us to rethink the very foundations we've relied on, including how to measure success. Organizations use metrics like productivity, efficiency, and user satisfaction to gauge how new technologies are performing and to steer their decisions.

In today’s fast-evolving technological landscape, the telecommunications sector faces both exciting opportunities and significant challenges. With the ongoing need to build, maintain, and upgrade digital communication infrastructures, Communication Service Providers (CSPs) are under pressure to make strategic decisions that will shape the future of connectivity.

The AI revolution is transforming enterprises faster than you can say, “sudo apt-get install skynet.” According to McKinsey, 65% of organizations now regularly use generative AI, nearly doubling from last year. However, as developers rush to integrate AI into their products, the shift from AI proof-of-concept to production can feel like trying to assemble flat-box furniture in a hurricane.

The news is filled with buzz about how companies approach AI. As a result, many organizations are trying to identify how AI can effectively support their business goals. There seem to be infinite use cases, but finding those that add the most value is often the first challenge. In the ITOps environment, generative AI copilots can effectively improve team efficiency, share knowledge, and support day-to-day tasks to deliver immediate value.

As we approach Oracle CloudWorld - a three-day event focused on cloud innovation, automation, and AI, where attendees can learn and network - we take a look at the innovation and growth Oracle Cloud has embarked on this year. Oracle Cloud Infrastructure (OCI) has experienced notable growth in fiscal year 2024. According to Oracle’s Q4 results, Cloud Revenue (IaaS plus SaaS) reached $5.3 billion, marking a 20% increase in both USD and constant currency.

Microsoft Recall AI is generating buzz, but not all of it is positive. When the feature was first introduced, the tech community was filled with excitement. However, concerns about privacy and data security quickly surfaced. While artificial intelligence (AI) promises convenience, it often comes at a cost—and in this case, that cost could be your privacy. As we look toward a future where AI powers more of our digital experiences, opinions are divided.