Security, stability, and performance. These are the foundational anchors of conversational AI solutions to ensure that interactions are trustworthy, ethically sound, accurate and reliable. However, conversational AI solutions that can boast these characteristics don’t happen by chance. They need expertise across several disciplines, such as knowledge management, compliance, engineering, data science, AI, and analytics.
Performance, security, reliability
Creating and supporting well-functioning solutions powered by AI is critical for organizations to retain competitiveness, meet the expectations and demands of customers, and deliver on their business goals. Importantly it requires the continual enhancement and advancements of the solution to ensure peak performance, security, and stability.
Lab environments have been around forever and a day. But, now more than ever, given the speed at which AI is advancing, combined with the well documented potential issues that AI could pose, organizations are valuing the lab environment and relying on it to ensure the rigorous interrogation of AI before it goes live.
Lab environments for customers
Creative Virtual has lab environments available to clients and we are seeing that they are now making use of these on a much more permanent basis. They no longer use the lab environment simply for pre-launch testing but as a permanent fixture and part of their critical tool-set to execute their AI strategy. It is the place where they ensure that the reputation of their company will be upheld through thorough examination, checks and balances.
Ethics, honesty and reliability
The lab environment is the place they are using to not just look to test the conversational AI solution to ensure it is honest, ethical, reliable, and secure but to innovate. Understanding that AI is advancing at unprecedented rates, and the potential issues that can come about, clients are utilizing the lab environment to guarantee the voracity of their AI innovations before deploying to their live environment.
Content validation
The lab environment is a well-used space by our clients for testing data validity and completeness of data to detect bias, hallucinations, and moral dilemmas, to ensure accuracy and consistency of conversations. It is also used to test chosen AI models and to gain a deep understanding of how it behaves. The lab is the place where deployment testing is carried out in relation to security, scalability, and speed, all of which will ensure that once it goes live business operations will not be interrupted or reputations negatively affected.
As an innovation space, we have seen clients harness the power of the lab environment as an effective collaboration space for exploration and experimentation, as well as a creative meeting point where they have direct access to the expertise and experience of Creative Virtual engineers, data scientists, data analysts, AI and knowledgebase experts and the expertise and experience of our partners.
Innovation and collaboration
The lab environment used to be predominantly used and visited by the technical and IT teams, but it is now an environment where an entire business is meeting and where AI innovation is thriving.
