What every SaaS Executive needs to know about AI

Executives who understand its potential are already adopting an “AI-first approach”, weaving it into dev operations, analytics, and productivity. For others (in their own 'bubble'), AI is merely another trendy buzzword (crypto/NFTs..) or else they are still dragging their feet to commit dev resources in AI related experimentation. If you find yourself in the latter group, consider this your wake-up call.

In the fast evolving universe of AI, where innovations are unveiled at a unprecedented pace, LLMs have emerged as groundbreaking entities. Llama 2, the latest entrant, offers a fresh perspective to this realm. However, as businesses contemplate harnessing its power, they inevitably draw comparisons with stalwarts like OpenAI. This exploration delves deep into these models, uncovering their strengths, weaknesses, and the implications for B2B AI applications.

Use-case specific AI SaaS apps are popping everywhere. But there is a wide range of quality of the results. This is because fine tuning a LLM (Open source or third party API) for a use case is challenging and to a large extent, dependent on human feedback because it involves assessing its performance and suitability for a specific application or task.

As enterprises dive deep into the digital age, one question constantly echoes in the corridors of boardrooms: Should we rent an existing AI App or build our own in-house?

Current SaaS product management workflows involve siloed tools such as customer feedback, analytics and insights, and roadmap planning, but the fragmented overview of prioritization across teams and hierarchy levels can lead to a clash between prioritization by business goals and prioritization by customer needs. Addressing these challenges can help product managers prioritise customer needs better and align them with business goals and objectives to build better products.

A successful brand or culture is often attributed to the strength and cohesion of its community, which serves as an embodiment of the brand's values and mission. A robust community functions as brand advocates, generating positive word-of-mouth promotion and building a favorable reputation for the brand.