SERVICES
AI Microbursts
In the ever-evolving landscape of technological advancements, Artificial Intelligence (AI) stands out as a transformative force that holds the potential to redefine the way organizations operate.
A PRAGMATIC APPROACH TO TRANSFORMATION
Navigating the integration of AI into established workflows can be a daunting task for many, often leading to skepticism and hesitation. We firmly believe that the key to successful AI adoption lies in a strategic and incremental approach – what we refer to as AI in microbursts.
INCREMENTAL APPLICATIONS OF AI
Most organizations have adopted agile ways of delivery: iterative releases of incremental, value-adding progress. The implementation of AI should be no different: Rather than opting for a sweeping revolution, APGET proposes organizations apply AI to specific business processes or segments of larger processes. This approach allows for a nuanced exploration of AI's capabilities, ensuring its implementation aligns seamlessly with organizational goals and values.
“The goal is not to inundate the entire organization with AI, but rather to strategically deploy it where it can make a significant impact on efficiency and productivity.”
- Luke Maslow, APGET Co-Founder
A PRAGMATIC APPROACH TO TRANSFORMATION
Navigating the integration of AI into established workflows can be a daunting task for many, often leading to skepticism and hesitation. We firmly believe that the key to successful AI adoption lies in a strategic and incremental approach – what we refer to as AI in microbursts.
INCREMENTAL APPLICATIONS OF AI
Most organizations have adopted agile ways of delivery: iterative releases of incremental, value-adding progress. The implementation of AI should be no different: Rather than opting for a sweeping revolution, APGET proposes organizations apply AI to specific business processes or segments of larger processes. This approach allows for a nuanced exploration of AI's capabilities, ensuring its implementation aligns seamlessly with organizational goals and values.
“The goal is not to inundate the entire organization with AI, but rather to strategically deploy it where it can make a significant impact on efficiency and productivity.”
- Luke Maslow, APGET Co-Founder
A PRAGMATIC APPROACH TO TRANSFORMATION
Navigating the integration of AI into established workflows can be a daunting task for many, often leading to skepticism and hesitation. We firmly believe that the key to successful AI adoption lies in a strategic and incremental approach – what we refer to as AI in microbursts.
INCREMENTAL APPLICATIONS OF AI
Most organizations have adopted agile ways of delivery: iterative releases of incremental, value-adding progress. The implementation of AI should be no different: Rather than opting for a sweeping revolution, APGET proposes organizations apply AI to specific business processes or segments of larger processes. This approach allows for a nuanced exploration of AI's capabilities, ensuring its implementation aligns seamlessly with organizational goals and values.
“The goal is not to inundate the entire organization with AI, but rather to strategically deploy it where it can make a significant impact on efficiency and productivity.”
- Luke Maslow, APGET Co-Founder
AI in MICROBURSTS
Implementation Journey
One of the primary advantages of adopting AI in microbursts is the ability to identify and capitalize on efficiency gains. By targeting a single business process or a specific aspect of a larger workflow, organizations can closely monitor and assess the impact of AI integration. This methodical approach enables a more focused analysis of the benefits and challenges, allowing for adjustments and refinements before scaling up.
AI Microbursts serve as crucial learning experiences during the initial phases of integrating GenAI technology. They typically entail a product team crafting a proof of concept (POC) and a minimum viable product (MVP). As teams accumulate expertise and confidence in the model, these initiatives can be expanded to encompass enterprise-level outcomes.
AI in MICROBURSTS
Advantages
HUMANIZING AI
APGET is a proponent of taking a human-in-the-loop (HITL) approach to AI implementation. This approach acknowledges that while AI can excel in certain tasks, there are scenarios where human judgment, intuition, and ethical considerations are essential.
Our goal is to liberate manual work through the automation capabilities of AI. Routine and repetitive tasks that once demanded human attention can now be handled efficiently by AI systems. As AI takes care of the mundane, human capital can be redirected towards activities that require critical thinking, problem-solving, and a nuanced understanding of complex scenarios.
THE AI TECH STACK
Off-the-shelf GenAI solutions offer a rapid and cost-effective approach to addressing initial use cases, enabling organizations to evaluate feasibility and staff to familiarize themselves with minimal risk.
As implementations progress, careful consideration of foundational models, platforms, and control levels becomes essential. Factors such as output types, fine-tuning requirements, data sensitivity, and control preferences guide model selection, while platform choices are influenced by security and responsible AI compliance. Compatibility between existing systems and models further facilitates implementation, ensuring seamless integration across various domains.
AI in MICROBURSTS
Generative AI for the Enterprise
APG Emerging Tech has experience with a suite of advanced AI solutions that empowers enterprises to streamline operations and unlock valuable insights. With sophisticated Natural Language Processing (NLP) capabilities, we implement virtual assistants that efficiently manage secure transactions with enterprise systems, ensuring data integrity and confidentiality. Advanced discovery tools sift through unstructured information, enabling organizations to extract actionable insights with ease. Leveraging generative AI technology, these solutions dynamically generate responses, adapting to diverse user needs and enhancing overall efficiency. By harnessing these innovative capabilities, businesses can optimize processes, drive productivity, and foster innovation.
All Enterprise Data exchanged with Generative AI platforms, such as IBM Watsonx, is encrypted and thus secured
Summarize large amounts of information coming from AI-driven discovery
Utilize AI bots to find specific answers hidden inside large unstructured silos of information
Utilize Generative AI platforms to handle untrained queries with eloquent answers
All Enterprise Data exchanged with Generative AI platforms, such as IBM Watsonx, is encrypted and thus secured
Summarize large amounts of information coming from AI-driven discovery
Utilize AI bots to find specific answers hidden inside large unstructured silos of information
Utilize Generative AI platforms to handle untrained queries with eloquent answers