logseq/pages/hls__Sundberg e Holmström - 2023 - Democratizing artificial intelligence How no-code.md

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• a broad subse ls-type:: annotation hl-page:: 4 hl-color:: green id:: 6475cd05-9520-4d62-881a-049972e50d98
• a computer program applies algorithms and statistical models to construct complex patterns of inference within data ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475cd10-3b3f-4117-998e-49d58bef2aee hl-stamp:: 1685441811334
• MLOps ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475cd1d-024b-461c-bd77-26aa6ba58110
• use graphical user interfaces, which help novice users to train ML models ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475cd3f-4d77-460e-97c4-ef912662690e
• based systems providing on-demand services to organizations and individuals to deploy, develop, train and manage AI models” (Lins et al., 2021) ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475cd61-0461-4852-b977-11f6d140cdc5
• no-code or low-code tools can support ML pipelines ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475cd6d-c081-46de-b4f6-89d5f623cf6e
• AI in digital transformation initiatives ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475cd75-7639-47ac-b086-4be0b7b98d68
• training AI models without any coding and we argue that they have high potential utility in operationalization of ML ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475cd81-03c6-477f-aa24-72cf3ff29ad3
• No-code AI platforms can make AI accessible and affordable for organizations that lack the size and technological competence needed for solutions that require advanced coding skills, and guide users through the process of developing and deploying AI models, with no need to learn the detailed workings of complex algorithms. ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475ce42-c509-43fd-b59f-188b83e831e5
• AI capabilities as a service ls-type:: annotation hl-page:: 5 hl-color:: purple id:: 6475ce50-e490-41fa-b1a7-fe5d6533c73e
• How can no-code AI support Machine Learning Operations (MLOps)? ls-type:: annotation hl-page:: 5 hl-color:: purple id:: 6475ce7f-fe93-4f72-8fae-bf0818a6d53a
• ML has been defined as “a broad subset of artificial intelligence, wherein a computer program applies algorithms and statistical models to construct complex patterns of inference within data” ( ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475ee78-c1fa-4afa-b20a-1fc39cfbc9d6
• many organizations are engaging in systematic ways of developing, deploying and monitoring ML operations ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475eeab-777c-44c6-ae09-759c0974e871
• . Large tech companies such as Amazon, Google, IBM and Microsoft ls-type:: annotation hl-page:: 4 hl-color:: purple id:: 6475f13d-419d-43dc-952e-4fdcc81cac84
• By shifting the required capabilities for developing ML from a domain restricted to data scientists to a much broader domain, no-code AI can thus enable new paths for the development of intelligent systems ls-type:: annotation hl-page:: 5 hl-color:: purple id:: 6475f41f-1ea5-48f0-a5c3-b89ae918fe18
• he development of ML significantly differs from traditional software development as ML models are dynamic and constantly changing (Borg, 2022; Moreschini et al., 2022). ls-type:: annotation hl-page:: 5 hl-color:: purple id:: 6475f4d4-415f-4062-9b93-d0cb945b9d78
• preparation of collected data to train an AI model with an ML algorithm ls-type:: annotation hl-page:: 5 hl-color:: purple id:: 6475f539-7df5-4fd9-8fbe-22ab46d7acad
• th ls-type:: annotation hl-page:: 6 hl-color:: purple id:: 6475f966-e14b-4063-b27d-73408290272e
• end to degrade over time, unless these changes are considered, and accounted for using new datasets(Constantiou & Kallinikos, 2015), and additional cycles of training and evaluation. ls-type:: annotation hl-page:: 6 hl-color:: purple id:: 6475f9fb-1bc1-447d-837b-3b96ed46eb45
• MLOps is a response to the challenges associated with incorporating ML models into production ls-type:: annotation hl-page:: 6 hl-color:: purple id:: 64760e8d-3184-45f3-b77c-a67656b1d813
• Challenge 1: Gaps between domain experts and technical experts ls-type:: annotation hl-page:: 6 hl-color:: purple id:: 64760f44-5784-4073-89e1-be8d971b052a
• Challenge 2: Slow problem-solution iterations due to ineffective architectures ls-type:: annotation hl-page:: 6 hl-color:: purple id:: 64760f8b-3b66-4dc1-8934-941113fda8d7
• Challenge 3: Infrastructure management ls-type:: annotation hl-page:: 7 hl-color:: purple id:: 64760f9b-291a-43ef-8a52-314b5fd6763f
• ML and DL approaches are valuable in the development of drugs for medical uses, but the lack of code-free and user-friendly applications prevent use of such tools by domain expert ls-type:: annotation hl-page:: 8 hl-color:: green id:: 64770b24-dcd8-4ddd-8f8f-339197c97f39
• simplifying the data annotation process through intuitive interfaces where domain experts can label text or images, or objects in images, based on their knowledge and experience. This can promote the establishment of cross- ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64770d07-cde2-467e-bad7-c6e25938af8e
• generative AI models are increasingly being integrated in different kinds of systems, we expect them to be a part of many AI solutions in the near future. ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64770dce-da5b-4de0-a69d-cf2c27c75715
• platform“enables quick prototyping, rapid experimentation and reduces the time to production by ls-type:: annotation hl-page:: 9 hl-color:: green id:: 64771340-d904-41d6-94f2-17a55682bf15
• standardizing model building and deployment ls-type:: annotation hl-page:: 10 hl-color:: green id:: 6477136a-ddbb-4ab4-8402-929bed8b20c8
• No-code AI can both help AI experts to meet optimization objectives and enable domain experts to test their ideas to generate value for their firm, without dependence on coders ls-type:: annotation hl-page:: 10 hl-color:: green id:: 647713a6-c740-4f36-b3fd-8e3ed3b84d2b
• Aiding infrastructure management ls-type:: annotation hl-page:: 10 hl-color:: green id:: 647714cc-d6cf-4630-8bb4-ef6d9dbc8c2a
• AI can be a complex process that requires clear understanding of the business goals and objectives, as well as the specific challenges the organization ls-type:: annotation hl-page:: 12 hl-color:: green id:: 64771629-340b-4593-83c1-688e1f8c0de5
• code AI platforms allow individuals, regardless of their technical background, to build and deploy ls-type:: annotation hl-page:: 12 hl-color:: green id:: 64771647-69a0-4492-8ebb-6a957dedded7
• help organizations to save time and resources, by avoiding the need to hire expensive data scientists or developers to build AI models. Thus, by engaging with no ls-type:: annotation hl-page:: 12 hl-color:: green id:: 6477166e-015d-44d8-bf90-ae883324541d