{"id":86670,"date":"2024-03-10T17:39:04","date_gmt":"2024-03-10T16:39:04","guid":{"rendered":"https:\/\/www.cbs-consulting.com\/?p=86670"},"modified":"2026-02-14T12:58:50","modified_gmt":"2026-02-14T11:58:50","slug":"sap-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.cbs-consulting.com\/apac\/sap-artificial-intelligence\/","title":{"rendered":"SAP Artificial Intelligence – An Introduction"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tThink about AI; you might picture self-driving cars, robots, or ChatGPT. But it’s crucial to peek behind the curtain and grasp how AI works and its effects for today and tomorrow. <\/span>AI has been around formally since the 1950s, defined as machines doing tasks that once needed human smarts. This broad definition evolved over years of progress.<\/span>\r\n\r\nWhen labelling machines as intelligent, like computers, it’s key to define “intelligence” to decide if they truly possess it. <\/span>Our unique intelligence distinguishes us from other living beings and shapes our experience. It can be defined as the capacity to adjust, solve problems, plan, adapt to new situations, and acquire new knowledge. <\/span>Given the importance of intelligence to our experience, it’s natural that we seek to replicate it artificially through scientific efforts.\u00a0<\/span>\r\n\r\nModern AI systems such as SAP AI Assistant – Joule exhibit aspects of human intelligence, including learning, problem-solving, perception, creativity, and social skills.<\/span>\r\n

Types of AI Available in SAP<\/b><\/h2>\r\nAI is booming in tech, but currently available AI models are just scratching the surface with what’s known as “artificial narrow intelligence.”\u00a0<\/span>The other two types remain in the realm of science fiction for now. With the rapid pace of computer science, the future of AI is uncertain but promising.<\/span>\r\n

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1: ANI (Artificial Narrow Intelligence)<\/b><\/h3>\r\nANI, also called “weak” AI, represents the current state of artificial intelligence. <\/span>While it can handle tasks driven by complex algorithms and neural networks, it’s limited in scope and purpose-driven.\u00a0<\/span>Examples of narrow AI include facial recognition, internet searches, and self-driving cars. It’s called “weak” not due to its lack of power but because it lacks the holistic intelligence associated with humans. Philosopher John Searle describes narrow AI as useful for testing hypotheses about minds but not truly possessing consciousness.<\/span>\r\n

2: ASI (Artificial Superintelligence)<\/b><\/h3>\r\nASI systems possess a profound self-awareness, transcending mere mimicry or comprehension of human behaviors. With unmatched processing power, they could herald a future where humans risk redundancy. <\/span>Though such a scenario may not materialise in our lifetime, the rapid advancement of AI urges us to contemplate ethical guidelines and responsible management.\u00a0<\/span>As scientist Stephen Hawking noted, \u201charnessing AI’s potential while evading its pitfalls demands diligent research and consideration.\u201d<\/span>\r\n

3: AGI (Artificial General Intelligence)<\/b><\/h3>\r\nAGI, or artificial general intelligence, aims to tackle any mental task humans can do. Unlike specialised AI, AGI goes beyond just learning from data; it extrapolates that knowledge to new tasks and situations. <\/span>The Summit Supercomputer showcases AGI-like capabilities by crunching through 200 quadrillion computations per second. While AGI models don’t need that extreme power, they require computational abilities currently found only in supercomputers.<\/span>\r\n

Benefits of SAP AI<\/b><\/h2>\r\nA few decades ago, many businesses were starting to try out AI in their operations, and its benefits were mostly theoretical.\u00a0<\/span>But as time passed, AI improved, and businesses began seeing real value in it. With AI improving all the time, businesses are finding more and more ways to use it creatively. Today, AI is bringing measurable benefits to businesses in many different ways.<\/span>\r\n

1: Business-Wide Resilience<\/b><\/h3>\r\nBefore computers were around, businesses already saw the importance of collecting and making sense of data about their operations, customers, and the market.\u00a0<\/span>As data got bigger and trickier, it became harder to analyse quickly and accurately. AI steps in to help tackle this challenge. It doesn’t just manage big data; it turns it into useful insights. With AI, tasks can be automated, resources can be used smarter, and we can foresee and respond to changes (good or bad) more effectively.<\/span>\r\n

2: Better Decision-Making and Customer Service<\/b><\/h3>\r\nGreat business leaders aim to make quick, well-informed decisions. When it comes to big decisions, they often involve many intricate parts and connections.\u00a0<\/span>AI boosts human knowledge and know-how by analysing data deeply and offering practical insights, aiding in confident decision-making.<\/span>\r\n\r\nIt also helps businesses tailor their services and connect with customers instantly. As people progress from showing interest to making purchases, they create detailed data.\u00a0<\/span>AI empowers several business tools to use this data effectively, improving customer support and interaction. So, all in all, it\u2019s better.<\/span>\r\n