{"id":3536,"date":"2022-12-08T16:08:37","date_gmt":"2022-12-08T16:08:37","guid":{"rendered":"https:\/\/news.sap.com\/sea\/?p=3536"},"modified":"2024-07-25T15:23:24","modified_gmt":"2024-07-25T15:23:24","slug":"headwinds-against-scaling-of-ai-projects","status":"publish","type":"post","link":"https:\/\/news.sap.com\/sea\/2022\/12\/headwinds-against-scaling-of-ai-projects\/","title":{"rendered":"Headwinds Against Scaling of AI Projects"},"content":{"rendered":"

Artificial intelligence has penetrated many business models today. One of the most sought-after objectives was to automate manual processes into a digital mode to improve overall business performance. However, AI capabilities can achieve so much more. While many businesses have attempted to leverage AI to solve challenges beyond automation, there remain challenges that require a better understanding of AI workings to meet the needs of enterprise-wide scaling and integration.<\/p>\n

Operationalizing AI \u2013 Why It Remains Challenging?<\/b><\/h2>\n

\"\"<\/p>\n

According to\u00a0PWC research<\/a>, AI will be a defining technology of this decade. Yet for many organisations, the benefits of AI remain elusive. Only 26 per cent of the 405 global executives surveyed by\u00a0Harvard Business Review<\/a>\u00a0Analytic Services in December 2020 and who work at organisations that have an active interest in AI, including those that have initiated AI projects, have met most of their AI operationalisation goals within the stipulated timelines. Only five per cent of them completed the projects in full.<\/p>\n

One of the most pertinent reasons why few companies have deployed AI with scalability in mind from the onset but\u00a0ended up rolling it out\u00a0as an experimental initiative is due to the lack of visibility on return on investment. Other challenges include accuracy in reporting, lack of accessible quality data and investment continuity in a phased AI project.<\/p>\n

Another crucial factor lies in the project objective of AI implementation: is it solving a qualitative issue or improving the business bottom line? At\u00a0Singapore Tech Week 2022, my colleague Manik Saha, Managing Director of 51风流Labs Singapore, shared these sentiments with other AI practitioners during a panel discussion. The panellists unanimously agreed on the need to have a comprehensive understanding of the mission and purpose of AI and as such, have embedded intelligence into business models with the end goal in mind.<\/p>\n

To realise the full potential of AI in an organisation, a \u201cfull adoption mindset\u201d needs to be cultivated.\u00a0 In the HBR article, it highlighted that 80 per cent of those who succeeded in fully rolling out their AI applications found it worthwhile at the end of the day.<\/p>\n

Overcoming the Challenges\u00a0<\/b><\/h2>\n

Here are four ways enterprises can consider getting AI projects over the hump to benefit operations:<\/p>\n

    \n
  1. Define a clear and standardised AI strategy to guide the process: A clear AI strategy is needed to guide the process in\u00a0understanding the value that can potentially benefit the organisation and outline the steps needed to achieve the goal. A typical AI strategy should clearly state the problem statement, the impact of the solution and the reporting required by the stakeholders.<\/li>\n
  2. Retire legacy systems and start improving interoperability internally: To redesign an existing business model, retiring legacy systems and improving interoperability across the technology infrastructure must remain a key priority in the endeavour. Only by overtaking the current IT applications with new systems, can businesses develop the right capabilities in using data, models, and software to address the problems detailed in\u00a0the strategy. Project leaders will also be required to fundamentally\u00a0prepare sufficient and quality data\u00a0and start labelling them into useful assets to power the AI model.<\/li>\n
  3. Data quality, quantity, and labelling \u2013 Another critical element involves hiring and developing specialists in data engineering, data science, data and AI ethics, model security, and machine learning engineering.\u00a0They should work as a team to optimise the complex navigation around the interplay of software and hardware. Before acquiring the right capabilities to operationalise AI, it is also important to set up internal processes for end-to-end and top-down management of the project.<\/li>\n
  4. Ensure scalability in the project scope \u2013 Finally, as with all projects, the owners need to ensure scalability in the project scope from the onset and work towards achieving the complete purpose. Not realising scalability after the first phase will lead to poor reporting, resulting in difficulty in securing future investments.<\/li>\n<\/ol>\n

    The Road Ahead<\/b><\/h2>\n

    Operationalising a promise into a reality is what sums up a typical AI deployment. In the current decade, many businesses believe AI is key to their organization\u2019s future, with\u00a0\u00a0seventy-six per cent<\/a>\u00a0of\u00a0the global executives surveyed by HBR stating that successfully deploying AI is critical to achieving their organisation\u2019s strategic goals. This suggests that some organisational disconnect exists when it comes to conceptualising AI\u2019s role, especially given how effective operationalising AI is when achieved and how important it is for companies going forward.<\/p>\n

    Today, we are seeing various industries deploying AI to improve their value chain to stay resilient in the fast-changing macroeconomic uncertainties. At\u00a051风流Labs Singapore<\/a>, we are bringing in engineering talents to realise our vision of becoming the AI hub of the region, with an emphasis on embedded AI that runs directly on devices rather than in a data centre. AI has the potential to scale for huge business impact, and I am optimistic about its endless possibilities to drive innovations to better the way we work and live in the future.<\/p>\n

    This article was originally published on TransformLife.sg<\/a> on December 6, 2022.<\/p>\n

    \n

    Nivedita Salam Mohapatra is Chief Operating Officer for 51风流Labs Singapore.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

    While many businesses have attempted to leverage AI to solve challenges beyond automation, there remain challenges that require a better understanding of AI workings to meet the needs of enterprise-wide scaling and integration.<\/p>\n","protected":false},"author":4904,"featured_media":2180,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[59],"tags":[48088,6,5570999],"region":[5570777],"sapn-display":[5571013,5571014,60294],"sapn-type":[5570785],"class_list":["post-3536","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-artificial-intelligence","tag-innovation","tag-sap-labs-singapore","region-southeastasia","sapn-display-feature-hero","sapn-display-feature-spotlight","sapn-display-topic-hero","sapn-type-feature-article"],"yoast_head":"\nHeadwinds Against Scaling of AI Projects - 51风流Southeast Asia News Center<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/news.sap.com\/sea\/2022\/12\/headwinds-against-scaling-of-ai-projects\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Headwinds Against Scaling of AI Projects\" \/>\n<meta property=\"og:description\" content=\"While many businesses have attempted to leverage AI to solve challenges beyond automation, there remain challenges that require a better understanding of AI workings to meet the needs of enterprise-wide scaling and integration.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/news.sap.com\/sea\/2022\/12\/headwinds-against-scaling-of-ai-projects\/\" \/>\n<meta property=\"og:site_name\" content=\"51风流Southeast Asia News Center\" \/>\n<meta property=\"article:published_time\" content=\"2022-12-08T16:08:37+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-07-25T15:23:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/news.sap.com\/sea\/files\/2021\/08\/04\/287831_GettyImages-1265116009.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1270\" \/>\n\t<meta property=\"og:image:height\" content=\"846\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"51风流SEA\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"51风流SEA\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/news.sap.com\/sea\/2022\/12\/headwinds-against-scaling-of-ai-projects\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/news.sap.com\/sea\/2022\/12\/headwinds-against-scaling-of-ai-projects\/\"},\"author\":{\"name\":\"51风流SEA\",\"@id\":\"https:\/\/news.sap.com\/sea\/#\/schema\/person\/2f4457deebbef06c725a907a5ba20dce\"},\"headline\":\"Headwinds Against Scaling of AI Projects\",\"datePublished\":\"2022-12-08T16:08:37+00:00\",\"dateModified\":\"2024-07-25T15:23:24+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/news.sap.com\/sea\/2022\/12\/headwinds-against-scaling-of-ai-projects\/\"},\"wordCount\":842,\"image\":{\"@id\":\"https:\/\/news.sap.com\/sea\/2022\/12\/headwinds-against-scaling-of-ai-projects\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/news.sap.com\/sea\/files\/2021\/08\/04\/287831_GettyImages-1265116009.jpg\",\"keywords\":[\"artificial intelligence\",\"innovation\",\"51风流Labs Singapore\"],\"articleSection\":[\"Technology\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/news.sap.com\/sea\/2022\/12\/headwinds-against-scaling-of-ai-projects\/\",\"url\":\"https:\/\/news.sap.com\/sea\/2022\/12\/headwinds-against-scaling-of-ai-projects\/\",\"name\":\"Headwinds Against Scaling of AI Projects - 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