Lecture 2

The term Artificial Intelligence (AI) was first coined by John McCarthy almost 60 years ago in 1956. AI is not just tech jargon in this digital age. The field of AI is evolving and breakthroughs are happening daily. We are developing complex algorithms and computing systems leveraging AI that can quickly process and analyze massive volumes of data, which would be impossible for an average human to complete in a single lifetime.
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The recent Infosys Generative AI Radar study for North America revealed several insights for supply chain management. SCM is a board room topic, alongside chief information security officers and cyber security experts as senior decision makers. However, the champion for implementing generative AI in enterprise supply chains remains unclear. Supply chain ranks lowest in establishing business value through use cases. . Read more on this link

Artificial intelligence continues to play a game-changing role in many aspects of our lives. The social media landscape is one of the areas where this impact is most evident. From automatic content moderation and personalized recommendations to the ads we watch and beyond, AI is reshaping the way we interact and connect online.
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The advent of Generative AI has delighted and surprised the world, throwing open the door to AI capabilities once thought to be still far off in our future. With a remarkable capacity to consume and generate novel outputs, Generative AI is prompting excitement and stimulating ideas around how this type of AI can be used for organizational benefit.Far more than a sophisticated chatbot, Generative AI has the potential to unleash innovation, permit new ways of working, amplify other AI systems and technologies, and transform enterprises across every industry
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ChatGPT has woken up the world to the transformative potential of artificial intelligence (AI), capturing global attention and sparking a wave of creativity rarely seen before. Its ability to mimic human dialogue and decision-making has given us AI’s first true inflection point in public adoption. Finally, everyone, everywhere can see the technology’s true disruptive potential for themselves.
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One of the breakthroughs with generative AI models is the ability to leverage different learning approaches, including unsupervised or semi-supervised learning for training. This has given organizations the ability to more easily and quickly leverage a large amount of unlabeled data to create foundation models. As the name suggests, foundation models can be used as a base for AI systems that can perform multiple tasks. .
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Gen AI has the potential to revolutionize the logistics industry in the coming years. According to a Precedence Research report, the market is set to grow at an annual rate of 44% to $19 billion by 2032. The drivers for this exponential growth are changing consumer behavior, cost pressures, labor shortages and disruption in the logistics industry
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The field of generative AI has its roots in the 1960s with the development of chatbots in the domain of Natural Language Processing (NLP), where the concept of establishing communication between man and machines was introduced [1]. This used pattern matching and simple language rules to generate responses based on user input. While it was a relatively simplistic model compared to modern language models, it demonstrated the potential of using machines to engage in human-like conversation. However, after this initial development, the technology did not witness any significant breakthroughs. In 2014, with the invention of Generative Adversarial Networks (GANs) by Ian Goodfellow and his colleagues, it became so popular, these are able to generate realistic images, videos, etc.
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The maritime industry is transforming rapidly due to technological advancements. Artificial Intelligence (AI) is already reshaping many sectors, and its evolution into Everything AI offers an unprecedented opportunity for maritime operations. This white paper explores the role of Everything AI in the maritime industry, highlighting its potential to revolutionise a sector that has been the backbone of global trade for centuries.
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Generative AI lets companies capture previously untapped benefits of AI in supply chains. By simplifying user interfaces, automating operations and decision making, and generating actionable insights from large data sets, GenAI overcomes the complexities of earlier AI implementations and promotes higher adoption. As supply chain technology grows more complex and the shortage of skilled professionals intensifies, companies must adopt GenAI to compete successfully.
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