I’ve been talking Beginning in early 2023, we will be talking to Global South founders about Generative AI (GAI) as often as possible. Founders in our portfolio of 350+ companies are generative AI users, not creators. As with other disruptive situations, these founders can be grouped into three groups.
- Ahead of the Curve: Companies that have already shipped something.
- Fast Followers: Observing and prototyping, but not yet shipped.
- I missed my train: I still don’t know how to get on the train/I don’t have the resources to apply right away.
This article is for founders who are running late for the train, or are on the train but not feeling fast enough.
Seeing examples from all three groups can help founders know where they really stand. Companies practicing “Ahead of the Curve” had at least three of his merits. They saw the opportunity early and had ready-made situations where generative AI could be applied. And he had the engineering talent to build prototypes and bring them to market. timely way.
As an example, an agricultural e-commerce company has already reduced customer service costs by 30% by deploying farmer language-enabled chatbots in front of customer service agents, and plans to reduce customer service costs by 50% in the next quarter. We expect to be able to reduce it. So.
Fast Follower prototyped a means of reducing costs and increasing blue-collar hiring speed by adding generative AI-driven steps to interview and candidate engagement workflows. Due to the complex workflows with high throughput, we need to keep an eye on the speed of deployment. Initial tests showed significant improvements in various aspects.
Here are five clear steps to go from being late to boarding a train at breakneck speed in far less time than you think.
Finally, the Late for the Train startup offers a solution for call centers and is doing some initial evaluation and planning, but when and how would it be best to add generative AI to its product roadmap? has not yet been determined. You’re already stressed with requests from existing customers.
Here are five clear steps to go from being late to boarding a train at breakneck speed in a lot less time than you think.
- Adopt simple language so that everyone can communicate clearly about this disruptive technology.
- Engage your entire team at a high level (many of them may already be there without you knowing).
- Do not “manage” your data in such a way that Cloud LLM exposes it to competitors or malicious actors.
- Establish a disruptive red team within your company.
- Measure the progress of generative AI adoption and consistently communicate it to the company.
1. Type 1 and Type 2 Generative AI Applications
There’s a lot of new jargon and concepts around AI, and a lot of people have written about them. So, apart from this one concept, no further explanation is needed from me. From an implementation perspective, there are two main paths to take. It is by no means exclusive.
The first is using generative AI to augment what you are already doing by improving productivity, job quality, or interactions with existing customers. This is called a Type 1 application.
The “Ahead of the Curve” example quoted above is type 1. Companies using generative AI to improve sales communications or assist with market research are doing Type 1 jobs. Type 1 projects can be implemented at the individual or departmental level. And most importantly, these are gambling and must-do activities for every startup these days. If you want funding but can’t demonstrate clear adoption of your Type 1 application, you’re in trouble. But from a VC perspective, Type 1 efforts alone do not make an AI company.
Type 2 initiatives are larger, riskier, and far more important to survival and the ability to raise capital. Type 2 seeks to build on generative AI to create entirely new ways of approaching critical aspects of your business, or even your entire business.
The benefits of Type 1 are reduced cost and increased speed and productivity. This is what everyone is doing or will be doing soon. The benefits you can get from Type 2 are potentially endless. Because you’re creating new ways to create and deliver value, you have the potential to reach new customers and gain significant competitive advantages over others who haven’t embraced generative AI deeply.
An example of a Type 2 innovation is a regional B2B marketplace that currently publishes information only in English, the common language of the region. The marketplace can now use generative AI to cost-effectively publish information in four local languages simultaneously, using the language of the customer’s choice (no tedious search queries or complex You can now find products/services in a conversational interface (rather than through clever filtering). This Type 2 innovation will open the market to millions of non-native English speaking customers, helping them all find what they’re looking for faster and complete transactions.
