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Historically, creativity has been seen as an innately human trait, but the rise of generative AI has redefined this assumption. Creative AI is at the forefront of a transformative wave in content creation, leveraging Artificial Intelligence to produce original and diverse content formats, including impressive visuals and realistic speech and music.


For example, AI imaging pioneers like DALL-E2 and Imagen have demonstrated the ability to generate highly realistic images from simple text descriptions, promising faster, cost-effective, and highly personalized content creation at an unprecedented scale. As an example, when prompted with "a bowl of soup that serves as a gateway to another world in digital art," the AI produces imaginative images that blend creativity and realism, providing a surreal experience (view images below). This exciting development demonstrates how AI is reshaping content creation, giving us a peek into a future where making content is not only quicker and cheaper, but also more tailored to individual preferences. This technology has the potential to completely revolutionize industries that rely on visual content, such as advertising and art, by opening a range of new exciting opportunities for creators and their audience.


Various images generated by DALL-E 2 given the above prompt, Source OpenAI


Another example of Creative AI application was developed by Tencent Music Entertainment, the leading online music entertainment platform in China. The company created mor 1.000 tracks that contain vocals generated by AI technology designed to emulate human voice. This technology called Lingyin Engine, can quickly replicate singers’ voices to produce original songs of any style and language: One of these tracks, titled “Today”, has already surpassed 100million streams. HYBE, a Korean entertainment company and record label behind Korean pop sensation BTS, has acquired Supertone, an AI sound and music generator. This convergence of music and AI not only promises to reshape the music industry but also opens a world of possibilities for artists, providing them with a new era of sonic creativity and experimentation.



Also, creative AI stands out for its remarkable potential to improve productivity, accomplishing in a few years what previously took decades for major technological advancements. Electricity took nearly four decades to have a real impact on productivity since it required adaptation to physical infrastructure. Computers took roughly two decades to make a significant impact with human adoption representing the main barrier to its development. In contrast, creative AI has taken less than three years to deliver major performance improvements, largely due to the active involvement of tech giants who have provided workers with user friendly AI powered tools and applications.


In conclusion, AI is transforming content creation at an astonishing pace. It's not here to replace human creativity but to enhance it. Examples like DALL-E2, Imagen, Tencent Music, and HYBE show how AI can generate stunning visuals and music quickly and affordably. This has the potential to revolutionize industries like advertising and music. According to Fortune Business Insight, the AI market size was 428$ billion in 2022 and is projected to grow from 515.31$ billion in 2023 to 2 trillion by 2030, at a CAGR of 21.6%. This growth reflects the increasing importance of AI, including the creative AI sector, in shaping various industries. As AI technologies advance, they are expected to play a pivotal role in this expansion, offering new opportunities for innovation and productivity.


 

The information in this article should not be regarded as a description of services provided by Delian Partners SA. The opinions expressed in this article are for general informational purposes only and are not intended to provide specific advice or recommendations for any individual or on any specific security or investment product. It is only intended to provide education about the financial industry. The views reflected in this article are subject to change at any time without notice.

In recent years, the use of artificial intelligence in the retail industry has become increasingly popular, with many big tech companies implementing the technology to enhance customer experiences and streamline operations. According to Yahoo Finance, the global AI retail market size is expected to reach $25.83 billion by 2028 from $5.19 billion in 2022.


Customer service stands out as the most prominent retail application for AI technology, with Amazon being one of the major investors in this domain. Amazon's Alexa Chat Bot is powered by a combination of natural language processing (NLP), machine learning (ML), and automatic speech recognition (ASR) technologies. When a user types a request into the chatbot, the ASR technology converts the text into a digital format that can be analyzed by the NLP algorithms. The NLP algorithms then analyze the syntax, grammar, and context of the user's request to determine the most appropriate response. In the meantime, the ML component enables the system to learn and improve over time based on users’ interactions: The more users interact with the chatbot, the better it becomes at understanding their needs and providing accurate responses.


Also, Alexa's AI-powered shopping assistant uses a combination of algorithms and data analysis to provide customers with product recommendations. In addition to that, the chatbot can also handle other types of requests, such as answering questions, placing orders, and providing customer with 24/7 support, meaning that they can to shop whenever they want without needing human assistance.


Differentiate use case before giving recommendations


Help refining recommendations


AI is also being used by e-commerce companies to improve search results and product categorization. Alibaba, one of the largest e-commerce platforms in the world, uses AI-powered image recognition technology to automatically categorize products based on their visual characteristics, and uses NLP to analyze product descriptions and categorize them based on the words and phrases used. This allows the platform to identify product attributes and features even if they are not explicitly listed. Additionally, Alibaba has launched a virtual assistant, AliGenie, which uses AI to help customers with their shopping experience providing them with more personalized recommendations which are tailored on user’s preferences.



According to Yahoo Finance, AI market size was valued at $95.60 billion in 2021 and is projected to reach $1,847.50 billion by 2030, growing at a CAGR of 32.9% during that period. The use of AI in retail is becoming increasingly popular, and many big tech companies are developing new features to enhance customer experiences and streamline operations. Chatbots, virtual assistants, product recommendations, search optimization, and categorization are just some of the ways that AI is being used in ecommerce. As AI technology continues to evolve, we can expect even more innovative use cases to emerge, leading to improved customer experiences and increased efficiency in the ecommerce industry.


 

The information in this article should not be regarded as a description of services provided by Delian Partners SA. The opinions expressed in this article are for general informational purposes only and are not intended to provide specific advice or recommendations for any individual or on any specific security or investment product. It is only intended to provide education about the financial industry. The views reflected in this article are subject to change at any time without notice.



Big Data is an important part of the global economy because of the increasing adoption of digitalization across economic sectors.


Big Data, in association with innovative technologies such as Artificial Intelligence and Machine Learning, is fueling what is better known as The Fourth Industrial Revolution. One of the most powerful technology trends is Big Data analytics which is reshaping many business processes and operations globally.


Today more than 2.5 quintillion bytes of data are being generated, daily. With such enormous volumes of data, businesses are moving into Cloud computing storage options. One of the most innovative data warehouses is Cloud based data storage solution Firebolt. Firebolt is a high growth Cloud Data Warehousing company that helps users streamline their data analytics and access information from any location. Firebolt is 4000 to 6000 times faster than other Cloud Data Warehouse providers like Snowflake or Amazon.


According to Forbes, 90% of the world’s data was generated in the last two years, but only less than 1% of that was processed and analyzed. Unlocking the potential of Big Data is critical for businesses to stay competitive by minimizing risks and improving performance.


Starburst is one of the hottest companies in the data analytics space: its strength is its ability to allow different teams to analyze data easily and from different databases, reducing the time to access information. Today companies generate a huge amount of data, every day. And the need for faster analytics on decentralized data helped Starburst achieve a 3x YoY growth in annual recurring revenue, 122% YoY customer growth, and 61% YoY employee growth, as reported by the company in the most recent quarter.


As critical as Big Data is today, its impact will be even larger in the future: The global big data analytics market was valued at $240.56bn in 2021 and it is projected to grow from $271.83bn in 2022 to $655.53bn in 2029.

 

The information in this article should not be regarded as a description of services provided by Delian Partners SA. The opinions expressed in this article are for general informational purposes only and are not intended to provide specific advice or recommendations for any individual or on any specific security or investment product. It is only intended to provide education about the financial industry. The views reflected in this article are subject to change at any time without notice.

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