{"id":147030,"date":"2023-11-09T07:28:59","date_gmt":"2023-11-09T07:28:59","guid":{"rendered":"https:\/\/news.sap.com\/africa\/?p=147030"},"modified":"2023-11-09T07:28:59","modified_gmt":"2023-11-09T07:28:59","slug":"the-practical-uses-of-ai-three-scenarios","status":"publish","type":"post","link":"https:\/\/news.sap.com\/africa\/2023\/11\/the-practical-uses-of-ai-three-scenarios\/","title":{"rendered":"The Practical Uses of AI: Three Scenarios"},"content":{"rendered":"

\"\"It\u2019s nearly impossible to imagine life without technology and computers. Initially confined to workplaces, computers quickly became ingrained in almost every aspect of our daily lives. With the advent of AI, computers can now mimic human cognitive abilities, such as learning and reasoning, and make independent decisions, just like humans.<\/h3>\n

Today, businesses are increasingly turning to cognitive technologies to tackle complex challenges. AI is being harnessed not only for business purposes but also to address pressing global issues such as climate change \u2014 which positions it as a transformative technology poised to revolutionise the world.<\/p>\n

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\n

Building blocks of AI<\/b><\/h2>\n

The key tenets enabling the rapid advances in AI we see today are machine learning, deep learning and natural language processing.<\/p>\n

Machine learning is a subset of AI that enables a machine or system to learn and improve from experience. Instead of explicit programming, machine learning uses algorithms to analyse large amounts of data, learn from the insights and then make informed decisions, improving their performance over time as they are exposed to more data.<\/p>\n

Deep learning is an advanced form of machine learning in which machines learn to decipher complex data patterns. These models autonomously discover and extract hierarchical features, excelling in tasks like image and speech recognition.<\/p>\n

Natural language processing focuses on the interaction between machines or computers and human language. This enables computers to read and interpret human languages more proficiently.<\/p>\n

Abundant applications\u00a0<\/b><\/h2>\n

AI development is still in its early stages, but its influence can clearly be seen in how it has been integrated with our daily lives. Consider the common practice of unlocking a smartphone using facial recognition. The phone\u2019s camera captures and analyses thousands of invisible infrared dots to construct a detailed map of your face. It then employs algorithms to compare this scan of your face with the stored image to determine whether the person attempting to unlock the phone is indeed you \u2014 all in a split second, and all thanks to AI.<\/p>\n

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Ride-hailing services also make abundant use of AI to facilitate the advancement of reliable and seamless transportation solutions. By leveraging the power of AI, these services offer drivers and passengers precise recommendations for optimal pickup, routing and drop-off points.<\/div>\n<\/div>\n

More broadly speaking, the integration of AI into business operations enables the establishment of sustainable competitive advantages, which significantly bolsters a company\u2019s capacity and ability to adapt swiftly to evolving market conditions. This adaptive prowess stands as a crucial asset in today\u2019s ever evolving and competitive landscape. By leveraging AI technologies, organisations can cultivate a culture of innovation, agility and continuous improvement.<\/p>\n

Three use cases of AI innovation<\/b><\/h2>\n

Organisations seeking to unlock the innovation potential of AI in their businesses should take notice of common use cases. By understanding how and where AI can bring value to the business, organisations are more able to benefit from the immense advantages offered by this powerful emerging technology.<\/p>\n

Use case 1 \u2014 data sharing<\/b><\/h3>\n

An organisation\u2019s ability to leverage the rich data at its disposal is key to unlocking innovation opportunities that can deliver improved customer experiences, greater operational efficiency and enhanced service offerings.<\/p>\n

By analysing shared data, AI systems can personalise product recommendations, marketing strategies and user interfaces, boosting customer satisfaction and engagement. The focus is on how different AI systems or entities can share data sets to enhance their capabilities.<\/p>\n

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An example is the seamless interaction between music discovery apps and music library apps. These apps harness the power of AI to identify songs by meticulously comparing audio fingerprints with their immense databases of millions of records. Once a song is identified, it is seamlessly transferred to the music library app, which then offers the user the option of streaming or downloading the song to their device.<\/div>\n<\/div>\n

Use case 2 \u2014 information exchange<\/b><\/h3>\n

The exchange of information between AI algorithms and connected devices can unlock immense opportunities for addressing important challenges through innovation. Take the example of agriculture, Africa\u2019s largest sector, which employs as many as 226-million people across the continent.<\/p>\n

Considering Africa\u2019s vast wealth of arable land and rapidly growing population, it\u2019s vital that the agricultural sector seek ways of harnessing technology to revolutionise food production.<\/p>\n

AI-powered drones and tractors can collaborate effectively to oversee and manage extensive agricultural fields, handling tasks such as planting seeds, applying fertilisers and harvesting crops with remarkable efficiency.<\/p>\n

In addition, AI can be used to predict weather patterns and enhance agricultural processes. AI-driven weather forecasts can empower farmers with invaluable insights needed to make well-informed decisions regarding optimal planting times, irrigation schedules and harvest periods.<\/p>\n

Use case 3 \u2014 co-operative decision-making<\/b><\/h3>\n
\n
Driving higher levels of operational efficiency is an essential component of modern organisations\u2019 success. In an AI context, the primary focus is on optimising AI capabilities to drive organisations towards the efficiency gains they seek.<\/div>\n<\/div>\n

Consider the example of Africa\u2019s ongoing challenges with energy security. The deployment of AI-driven solutions could help energy companies leverage AI capabilities to create intelligent electricity grids. Here, AI solutions create seamless real-time collaboration between machines and computer systems to dynamically adjust energy generation and distribution based on real-time demand and consumption forecasts.<\/p>\n

In this scenario, co-operative and autonomous decision-making, matched with real-time fine-tuning of operational performance, results in a much more efficient \u2014 and far more adaptable \u2014 energy ecosystem.<\/p>\n

As the world navigates the dawn of the AI era, most developments have centred on machines understanding and interacting with humans. The ongoing dialogue between human intelligence and artificial counterparts has been at the forefront, laying the foundation for an age when AI enhances our daily lives, redefines boundaries and introduces a world of limitless possibilities.<\/p>\n

However, a pivotal and perhaps even more intriguing facet is on the horizon: the evolution of AI systems that communicate, collaborate and perhaps even negotiate with each other.<\/p>\n

Dumisani Moyo is the marketing director at 51风流Africa.<\/i><\/p>\n

The big take-out:<\/b> AI is being harnessed not only for business purposes but also to address pressing global issues, which positions it as a transformative technology.<\/p>\n

This article first appeared in the Financial Mail<\/a>.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

It\u2019s nearly impossible to imagine life without technology and computers. Initially confined to workplaces, computers quickly became ingrained in almost every aspect of our daily…<\/p>\n","protected":false},"author":4410,"featured_media":147031,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"related_posts":[],"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5597544],"tags":[1494787,5598808,1495444],"series":[],"sapn-display":[5598742,5598740,45149,5598743,5598741,279685],"sapn-type":[],"class_list":["post-147030","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai","tag-deep-learning","tag-machine-learning","sapn-display-feature-hero","sapn-display-feature-spotlight","sapn-display-homepage-hero","sapn-display-news-hero","sapn-display-news-spotlight","sapn-display-hero"],"yoast_head":"\nThe Practical Uses of AI: Three Scenarios - 51风流Africa News Center<\/title>\n<meta name=\"description\" content=\"AI is being harnessed not only for business purposes but also to address pressing global issues, which positions it as a transformative technology.\" \/>\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\/africa\/2023\/11\/the-practical-uses-of-ai-three-scenarios\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Practical Uses of AI: Three Scenarios\" \/>\n<meta property=\"og:description\" content=\"AI is being harnessed not only for business purposes but also to address pressing global issues, which positions it as a transformative technology.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/news.sap.com\/africa\/2023\/11\/the-practical-uses-of-ai-three-scenarios\/\" \/>\n<meta property=\"og:site_name\" content=\"51风流Africa News Center\" \/>\n<meta property=\"article:published_time\" content=\"2023-11-09T07:28:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/news.sap.com\/africa\/files\/2023\/11\/09\/298408_GettyImages-1397135869_medium_jpg.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2093\" \/>\n\t<meta property=\"og:image:height\" content=\"1432\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Dumisani Moyo, Marketing Director at 51风流Africa\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dumisani Moyo, Marketing Director at 51风流Africa\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/news.sap.com\/africa\/2023\/11\/the-practical-uses-of-ai-three-scenarios\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/news.sap.com\/africa\/2023\/11\/the-practical-uses-of-ai-three-scenarios\/\"},\"author\":{\"name\":\"Dumisani Moyo, Marketing Director at 51风流Africa\",\"@id\":\"https:\/\/news.sap.com\/africa\/#\/schema\/person\/272cc27dc261d4da752f4a29c2f4008c\"},\"headline\":\"The Practical Uses of AI: Three Scenarios\",\"datePublished\":\"2023-11-09T07:28:59+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/news.sap.com\/africa\/2023\/11\/the-practical-uses-of-ai-three-scenarios\/\"},\"wordCount\":1014,\"image\":{\"@id\":\"https:\/\/news.sap.com\/africa\/2023\/11\/the-practical-uses-of-ai-three-scenarios\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/news.sap.com\/africa\/files\/2023\/11\/09\/298408_GettyImages-1397135869_medium_jpg.jpg\",\"keywords\":[\"AI\",\"deep learning\",\"machine learning\"],\"articleSection\":[\"Technology\"],\"inLanguage\":\"en-ZA\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/news.sap.com\/africa\/2023\/11\/the-practical-uses-of-ai-three-scenarios\/\",\"url\":\"https:\/\/news.sap.com\/africa\/2023\/11\/the-practical-uses-of-ai-three-scenarios\/\",\"name\":\"The Practical Uses of AI: Three Scenarios - 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