What to Watch in AI: Combining the Power of AI and Science

What to Watch in AI: Combining the Power of AI and Science

In the rapidly evolving world of AI, there are various applications and tools that are transforming industries and professions. From GitHub's "Copilot" feature to Valence Discovery's generative design methods for drug molecules, AI is democratizing facility and efficiency in unprecedented ways. While text-to-image/video models capture our imagination, the most impactful applications of AI are likely to be in the life sciences.

One company making waves in the AI space is Synthesia, a video creation platform that uses generative AI technology. With Synthesia, users can create professional videos by simply typing a few lines of text and clicking a couple of buttons. The platform's proprietary AI technology, combined with the expertise of its co-founders who are AI professors, allows for seamless and efficient video production.

OpenAI is another notable player in the AI industry. As an artificial intelligence research company, OpenAI has developed large language models (LLMs) like Codex, which have been integrated into various applications. Grit, for example, uses LLMs to automate developer tasks and fix common issues in software development. By combining static analysis with LLMs, Grit aims to create self-maintaining software.

In the field of life sciences, AI is revolutionizing clinical trials through the use of digital twins. Unlearn, a startup working with major pharma companies like Merck KGaA, has developed digital twin technology that simulates the performance of trial participants in control arms. This technology helps accelerate clinical trials and mitigate issues related to patient enrollment, which is a major challenge in the industry.

As AI continues to evolve and expand, it is crucial for businesses to explore and leverage emerging acquisition channels. When considering whether to invest time and resources into a new marketing channel, there are several factors to consider. One approach is to look for emerging platforms or features within existing platforms, such as Clubhouse or Instagram Stories. These platforms offer the opportunity to benefit from lower competition and more impression share.

Another consideration is whether the channel is under-leveraged by the industry. For example, Wordpress, despite being a well-established platform, was not widely used as an acquisition channel in the CRM industry. By doubling down on Wordpress and creating a flywheel that connected organic traffic to freemium plugins, HubSpot was able to diversify its acquisition portfolio and drive growth.

When evaluating emerging channels, it is important to assess the overlap between the customer problem, channel strengths, and company goals. Channels with clear overlap in all three areas are more likely to be successful. For example, Spotify and Clubhouse have clear overlap in their audio-based entertainment offerings, making Clubhouse a potential channel for Spotify to explore.

Understanding the DNA of the channel is also crucial. Is the channel an entirely new platform or an expansion within an existing platform? Is it an entirely new category or one that the company has experience in? Where is the channel in its growth stage? Answering these questions can help determine the potential risk and reward of investing in a particular channel.

Additionally, it is important to consider the company's profile and resource allocation culture. Is the company typically a first mover, a fast follower, or a calculated settler? Does the company have a culture of exploration and willingness to allocate resources to new channels? These factors will influence the company's approach to exploring and scaling emerging acquisition channels.

In conclusion, the convergence of AI and science is driving innovation and transformation across industries. From AI tools that democratize facility and efficiency to digital twin technology in clinical trials, AI is revolutionizing the way we work and solve complex problems. When considering emerging acquisition channels, businesses should carefully evaluate the overlap between customer problems, channel strengths, and company goals, as well as consider the DNA of the channel and the company's resource allocation culture. By strategically leveraging emerging channels, businesses can stay ahead of the curve and drive growth in a rapidly changing landscape.

Actionable advice:

1. Stay informed about the latest advancements in AI and emerging acquisition channels. This will help you identify new opportunities for growth and innovation.
2. Evaluate the overlap between customer problems, channel strengths, and company goals when considering whether to invest in an emerging channel. Look for channels with clear overlap in all three areas for greater chances of success.
3. Foster a culture of exploration and resource allocation for new channels. Encourage your team to think outside the box and allocate resources to test and scale emerging acquisition channels.