AI Orchestration

Written in Cool Vendors in Enterprise AI operationalization and Engineering (Gartner, 2021), half of the large enterprises will have implemented artificial intelligence (AI) orchestration platforms as enterprises are striving to become AI initiatives. The reported number shows that within only five years, the trend of adopting AI worldwide will go up by 40% compared to fewer than 10% in 2020. The reason for such a fast-accelerating rate is due to the maturation of the AI market which results in a tenfold growth in computer requirements (Gartner,2020). Therefore, AI will be the top category driving infrastructure decisions.

For the past few years, the AI market in Asia has been on an upswing owing to the increased adoption of AI by both private and public sectors and the emergence of startups. Besides, the market needs in Asia are expected to grow at the highest speed CAGR of 40.8% from 2022 to 2027 (ReportLinker, 2022). A report about Government AI Readiness Index from Oxford Insight (2021) shows the results that will have a significant impact on the future of the AI market in Asia. The results stated that Singapore ranked second in the AI readiness index list and East Asia countries made up one-quarter of the top 20. Countries like Singapore, South Korea, Japan, China, and Taiwan all scored significantly above the global average in both the Human Capital and Infrastructure dimension, marking the region’s global success in AI research and its advance AI computing power. Besides, other Asia countries like India, Malaysia, Indonesia, Thailand, and Vietnam all scored above the world average index which deserves special attention in terms of its rapid growth potential. With its wide range of benefits, AI is now being adopted across continents and industries such as healthcare, logistics, transportation, fintech, food tech, manufacturing, education and research, government, retail, e-commerce, etc.

Per its definition, AI focuses on imitating human intelligence in order to create smart machines that can carry out activities that traditionally would require human intelligence. The core technologies included in software components of AI are deep learning (DL), machine learning (ML), natural language processing (NLP), and augmented reality / virtual reality (AR/VR). Ever since AI was created in the 1950s, AI has possessed the incredible capability of automating digital and physical tasks, resolving problems based on previous experience, using algorithms to detect patterns in vast volumes of data, picking up new information, using NLP chatbots, intelligent agents, and machine learning. However, the capacity of AI in the present is beyond what it could do in the past and will keep being developed in the future.

Knowing the undeniable power of AI, corporate leaders and entrepreneurs are racing to achieve AI’s promise of time and money savings as well as a distinct competitive advantage. The ability to plan future marketing plans and campaigns is given to businesses through faster and more accurate consumer behavior data analysis, which comes along with the growth of the AI market.

When adopting AI, business leaders need to be aware of AI orchestration which will help them manage the set of tools, processes, data, and talent related to the application of AI. In other words, AI orchestration is important to provide businesses with the infrastructure to enable automated decision intelligence in daily operations and provide an integrated continuous integration/continuous delivery (CI/CD) pipeline across all the different stages of building an AI-based system. These orchestration platforms are the backbone of any AI project.

Realizing the significance of AI orchestration, InfinitiesSoft has created and developed AI-Stack to help business leaders be fully prepared to adopt AI without going through the hassle of deploying and managing their AI infrastructure by themselves. AI-stack is a web-based, on-premises GPU computing resource deployment, automation, and management software to improve usability, productivity, manageability, and efficiency for IT resource managers, project leaders, and AI practitioners. AI-stack can help enable on-premises and hybrid cloud AI infrastructure to use GPU and CPU resources via a self-service portal. Not only that, by adopting AI-Stack into their companies, business leaders can also enable:

  • Management and governance: allow teams from different departments/enterprises to develop, reuse, and quickly innovate on a shared set of machine learning model assets.
  • Observability: allows users to monitor, analyze root causes and come up with effective problem resolution across data and machine learning pipelines.
  • All-in-one platform: the software provides AI development lifecycle management, from data preparation, exploration, model development, training, testing, and deployment to metrics.
  • Various AI Frameworks, commonly used AI Toolkits, and AI SDKs on the platform for on-demand use, increasing the toolsets available to enterprises and assisting in the rapid development of AI.

By addressing all the pain points of business when becoming an AI-empowered enterprise, AI-Stack is proven to increase the efficiency of GPU utilization rate from 30% to 90% on average and to reduce the environment preparation time for business from two weeks to one minute. Given its usefulness, AI-Stack is the handiest assistant for business to achieve their AI benefits with ten times the speed compared to the traditional AI approach.

AI-Stack is not just a development in the AI industry, it is an evolutionary way. Accelerate AI adoption today with AI-Stack!`