Something about building GenAI LLMs bugs me. Before I begin, let me be clear: I am a supporter of AI technologies, particularly in science. Lately, however, a question keeps surfacing that […]
The post Genesis Content: Where Does GenAI Get Its Next Meal? appeared first on AIwire.
The rise of generative AI (genAI) technology has prompted a growing debate about the future of software-as-a-service (SaaS) business models.
Some of the fears are overblown: enterprises are unlikely to vibe-code their own applications to replace their SaaS suppliers anytime soon, while software vendors have yet to see per-seat sales fall off due to mass automation of white-collar jobs. (In fact, some now predict the opposite will happen.)
At the same time, AI has the potential to change the way work is carried out, with AI agents empowered to interact with software applications on behalf of users. For software vendors, that could mean a future where applications are accessed less through traditional user interfaces as AI agents connect via APIs.
It’s an inevitable shift, says Box CEO Aaron Levie, and one that requires software vendors to adapt their existing products and business models to prepare for agent workflows.
Computerworld recently spoke with Levie about how Box — and other
There’s a lot happening at Harvey this week. First, they’ve forged a partnership with genAI KM pioneer DeepJudge (more below), and also have launched Command ...
You walk into the interview room. The whiteboard displays the following prompt: “A major retailer wants to deploy a GenAI chatbot for customer support. How would you approach this?” You have 35 minutes. Your palms are sweating. Sound familiar? GenAI case studies currently serve as the primary challenge which interviewers use to test candidates in […]
The post 6 Steps to Crack GenAI Case Study Interviews (With Real Examples) appeared first on Analytics Vidhya.
In finance departments that have long been defined by precision and control, AI has arrived less as a neatly managed upgrade than as a quiet insurgency. Employees are already using it while leadership races to impose structure, governance, and strategy after the fact. The result is a paradox: one of the most tightly regulated functions…
CIO Warren Lenard describes how Indiana has made Microsoft Copilot available for any state employee who wants it, and a key part of the program is training. That training also extends to cabinet-level secretaries.
Apple is building new AI photo editing tools to introduce with its next major software updates this fall, and these won’t be the only AI tools and services it wants to talk about at the Worldwide Developers Conference (WWDC) in a few weeks’ time.
While it is correct to say Apple has had setbacks in AI development, it has also had successes. Was it ready for the generative AI (genAI) juggernaut? Probably not, nor has it successfully developed its own response in-house. Is Apple’s platform ready for AI? Indisputably, with the power and performance across all its hardware products to run AI on the edge, in the cloud, and as-a-service. Right now, Apple doesn’t offer the world’s best AI services, but does offer the world’s best platform on which to run them.
Given you can’t have one without the other, no matter how you slice and dice it, Apple has therefore seen partial success in AI. Now, it just needs to add the software and the services, about which we’ll find out much more in June.
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