This Week in Enterprise Tech - Week 14

OpenAI and Google go head-to-head, OpenAI’s “Superalignment” team is dissolved, Matt Garman is the new CEO at AWS, what’s the current state of IT budgeting and planning, and how far should you trust the concept of autonomy when it comes to your IT environment? Amalgam Insights’ Hyoun Park and The DX Report’s Charles Araujo are here again to discuss This Week in Enterprise Tech.

OpenAI vs. Google
Google I/O was last week, where they announced Google Astra, an AI assistant based on Google Gemini models. But OpenAI may have stolen their thunder by releasing GPT 4.o, a new model powering ChatGPT, immediately prior. Sure, it’s jockeying for position, but what’s the upshot? Charles and Hyoun discuss the implications, and what else may be coming down the pike.

Does Risk Still Matter for AI?
GPT 4.o wasn’t the only OpenAI news; their “superalignment” team focused on governance and risk has fallen apart, with high-level resignations and reassignments to other teams. With OpenAI’s assertive moves, what does this mean, both for OpenAI itself, and for other AI companies? Is the world currently at risk from “superintelligent” AI? Charles and Hyoun dig in.

AWS Names Matt Garman as New CEO
Adam Selipsky is out and Matt Garman is in at AWS. Hyoun and Charles consider what this means for Amazon’s strategic direction; why the shakeup now?

CIO Challenges in Managing IT Budgets
In the planning and budgeting world, software is getting to the point where a realtime assessment of a company’s financial picture is quite possible. IT has done well with providing realtime information on a company’s network performance, but what about IT budgeting and planning? Charles and Hyoun debate: is it time for IT departments to start prioritizing that, too?

“Autonomic” IT: Finding the Heartbeat of Your Company
ScienceLogic proposed the concept of “autonomic” IT: an autonomous IT environment where your systems achieve IT utopia: always available, issues are automatically responded to and quickly addressed, sometimes without needing any human intervention at all. How far off from that are we? What parts of your business could operate like this with AI assistance? What parts do you trust to operate like this? Hyoun and Charles assess the possibilities, and the necessary work.