Recently, our product and engineering team had the opportunity to attend the AWS Summit, an event that sheds light on the latest developments and advancements in cloud computing. As avid users of AWS for our platform, we were eager to discover what was new and on the horizon. If we had to summarise the summit in just two words, they would undoubtedly be "Artificial Intelligence" (AI).
The prevalence of AI was overwhelming, and it became clear that this transformative technology will profoundly impact the way we work, act, and think.
Throughout the summit, more than 95% of the talks were dedicated to AI and its potential to revolutionise industries. We were captivated by discussions on how AI will reshape workflows, automate processes, and unlock unparalleled possibilities.
However, alongside these opportunities, there are risks that need to be carefully navigated. With AI's growing influence, new roles and responsibilities will emerge, and organisations will need clear strategies and roadmaps to leverage its potential effectively.
One of the key takeaways from the AWS Summit was the urgent need for companies to develop a clear AI strategy and roadmap. With the rapid advancements in AI technology, it's easy to get overwhelmed and lose focus amidst all the changes and opportunities.
By establishing a strategic vision, organisations can harness AI's potential to optimise operations, enhance customer experiences, and drive innovation. It's a transformative journey that requires careful planning and a commitment to staying ahead of the curve.
There are key ethical, diversity and inclusion, and information security considerations, that also must be taken into account when exploring this space.
This slide emphasises the best strategy:
During the summit, we delved into the intricacies of training AI models to deliver the desired results. It became evident that prompt engineering plays a crucial role in shaping the effectiveness of AI. Training AI models is not a straightforward process; it demands the right amount of data and meticulous training to yield meaningful outcomes. Understanding this complexity will be key to unlocking AI's true potential and achieving the desired impact within our organisations.
The Summit included lots of practitioners sharing their explorations into AI applications across industries, including consulting services, software development, manufacturing, legal, and healthcare. We learned of AI applications to streamline document review processes, parsing documents, and how generative AI can enhance customer service operations, and understanding decision criteria for model selection and training data. The Summit was helpful to guide attendees on how to get started and learn from early explorers across industries.
Our team left the AWS Summit both overwhelmed and inspired by the vast potential and opportunities that AI will unlock, ideating use cases for the pharmaceutical supply chain as well as streamlining our operations as an innovative technology company.
The future holds great promise, and as we move forward, we're excited to embark on this transformative journey, embracing AI as a catalyst for growth, efficiency, and innovation.
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