Intelligent Operations with HighcliffAI
Jerry Overton
jerry@appliedai.studio
Logan Wilt
logan@appliedai.studio
AI Operations: Automate. Innovate.
Imagine building an active, goal-seeking infrastructure that constantly works to identify and address problems before they even become noticeable. With AI Operations AIOps), we automate routine and lower-valued operations tasks across the company, from software development to customer onboarding. This not only increases efficiency but also frees up valuable time for teams to dedicate themselves to more strategic and creative challenges.
HumanCentered AI
Human-centered AI means starting with thinking about what people need and then about how AI can help solve the problem. This isn’t just Human AI, though; here, the order matters. When people come first, we design things that augment people rather than just replacing them. You create tools that empower people to solve challenging problems. And empowered people can solve all kinds of critical and/or interesting things by teaming up with an intelligent computer.
Easier Integration.
You can spend countless hours integrating with new systems or struggling to get clients connected to your platform. With AI assistance, the process of getting clients connected with your system becomes quicker and more efficient. AIOps not only automates simple integration tasks but also provides valuable assistance with the more complex challenges. It allows teams to focus on more complex and critical aspects of integration, saves time and increases accuracy. By reducing the time required for integration, businesses can quickly adapt to new technologies and systems. This allows for smoother operations and ultimately stronger relationships between organizations.
You can eliminate reactive troubleshooting and lengthy downtime. AIOps can identify patterns and predict potential infrastructure problems before they occur. It can identify and alert the appropriate IT agents or contractors. This not only saves precious time but also increases the efficiency of IT agents and contractors who can now focus on more strategic tasks. You can enjoy increased uptime and improved utilization of your IT and data infrastructure.
Less Downtime.
Better Code.
Imagine generating code for those never-ending repetitive software engineering tasks. AIOps can automate mundane and repetitive coding tasks, it frees up valuable time and energy that can be redirected towards more complex, creative endeavors. It ensures consistency and accuracy in the codebase. It can generate and fine-tune machine learning models. But it doesn't stop there AIOps assists programmers with more intricate tasks, making complex programming challenges more manageable.
AI, what is it good for?
AI code generation uses machine-learning models trained on vast amounts of coding patterns and best practices. By simply describing what the code should achieve, developers can quickly receive a generated code snippet that matches their requirements. While AIgenerated code may not always be perfect, it provides developers with a valuable starting point, enabling them to write code more quickly and efficiently. It eliminates the need for developers to start from scratch and instead offers them a foundation on which they can build upon.
Reliable, Intelligent Operations.
HighcliffAI provides the control and communication of AI actions. It uses IP communications and remote procedure calls to orchestrate AI Actions into an intelligence network. PhysarAI will compensate and adapt when faced with lost connections. It understands the importance of maintaining operations and will tirelessly work towards reestablishing any lost connections. Network disruptions are just temporary setbacks to uninterrupted intelligent operations.
HighcliffAI
Physarum is a slime mold capable of goal-seeking behavior. This simple organism plans, adapts, and remembers without the benefit of a brain. HighcliffAI is our artificial intelligence technology inspired by the Physarum slime mold. PhysarAI achieves goals by finding and executing action sequences. With PhysarAI, we created a complex and adaptive problem-solving system from a network of components that follow simple abstract rules. PhysarAI is software but it’s also a thing. It's packaged, delivered, and run as software containers. It can run on premise or in the cloud as a managed service. PhysarAI achieves its goals by using APIs (application programming interfaces) to control the devices in its network. The result is a goal-seeking system that can adapt and assist in a range of domains from rescuing food and feeding people, to helping run intelligent business operations.
The HighcliffAI SDK
Our Software Development Kit SDK allows us to create specialized AI actions for your organization. These actions can range from integrating new customer data to generating code for an engineer. HighcliffAI (the artificial intelligence engine) uses each action as a potential resource for achieving its goals. Each action acts as a pluggable unit, seamlessly integrating new technology and functionality into your running systems.
Power of Simplicity
HighcliffAI uses a sequence of actions to accomplish each goal, continuously learning and adapting based on real-time observations. It navigates through challenges and continuously adapts to unexpected situations. The beauty is in the simplicity. HighcliffAI's intelligence emerges from the iterative application of these simple yet effective behaviors. By taking calculated actions, observing results, and adjusting the plan when needed, it becomes capable of orchestrating intelligent operations.
Crawl. Walk. Run. Going from Idea to Scale.
We understand that not all ideas start off as winners. That's why we take projects through a process of crawl, walk, and run. First, we crawl by developing prototypes. By experimenting with various ideas and concepts, we determine what's truly worth pursuing. Then, we walk. We take the prototypes that have proven their worth and refine them into production versions. Finally, we run. We take what's already in production and scale it.
The Studio
Solving problems in the studio requires gathering good resources and then trial and error. It’s like old cartographers who wanted to map the world. They had ships, explorers, and maybe old maps with sea monsters standing in for uncharted territories. They needed to keep combining their resources until they found the mix that achieved the vision. The studio model requires building the way through. It’s a development-led process and one that must be controlled by the craftsmen– the people that actually make things.
Rapid Problem Exploration RPE
RPE is how we eliminate wasted time and resources on projects that might not even work. We identify the actual problems and determine potential viable solutions. We focus on identifying key problems and creating rapid prototypes. With a condensed timeline, typically just 2 weeks, we explore an idea, determine if it addresses a genuine issue, and asses its potential for success. With each project, we explore ideas and test their feasibility to figure out if they align with our vision. These projects may be short in duration but they hold immense value in helping us identify the actual problems we want to take on.
Sprint
In the sprint phase, we put our energy into building out production releases. Because each release runs on the AI Utility (powered by HighcliffAI , we have the agility to maintain a typical timeframe of just 4 weeks for each sprint. It’s during these sprints that the focus is placed on transforming our successful prototypes into production-quality versions. These short bursts of concentrated effort allow us to focus on building out productionquality versions of the projects that have successfully passed prototype. This phase is where we invest in the creation of production product releases.
Transformations
In transformations, we elevate what’s already successful into something even greater. Instead of starting big or trying to scale from the very beginning, we take something that is already successfully running in production and add stability and scale. We channel our efforts into areas that truly deserve to be scaled. It involves thoughtful evaluation of which aspects are most deserving of scaling. We prioritize areas with the most potential for impact and eliminate the wasted effort of scaling prematurely.
Let's Begin
Project kickoff is easy. It starts by hiring us to evaluate your data. Data allows us to understand your unique challenges. With your trust and limited access to relevant data, our engineering team can begin Rapid Problem Exploration. We’ll create prototypes and, together, discover AIOps projects worth releasing into production.