McDonald’s Taps Generative AI as Restaurants Turn to Automation
McDonald’s is tapping Google Cloud’s generative artificial intelligence (AI) tools as restaurants increasingly integrate the technology into more parts of their business.
This Week in Generative AI
This week in Generative AI, brought to you by Newsletter AI (The ChatGPT Newsletter Tool). A summary of Generative AI news from Week no. 49, starting on 4 December 2023.
OpenAI's ChatGPT initiated a generative AI revolution over a year ago, setting the stage for further advancements in AI technology.
In 2024, the focus is on expanding AI applications beyond text and image platforms to include audio and video-based generative AI.
Companies like Eleven Labs are leading the way in audio-based generative AI, with more firms expected to enter the field throughout the year.
Generative AI models are being developed for specific use cases, such as improving weather prediction and enhancing security products.
Efforts are underway to enhance the accuracy of generative AI platforms, particularly in reducing false statements or "hallucinations" presented by AI bots.
Source: YouTube
The Generative AI Copyright Fight Is Just Getting Started
The Authors Guild and other artist groups are challenging the use of their work for training AI algorithms without permission, while tech companies argue it's fair use.
The debate is intensifying as AI tools like ChatGPT and GitHub's Copilot show the ability to mimic works in their training data, raising concerns among creators.
At the Livewired event in San Francisco, leaders from the Authors Guild argued against AI training as fair use, emphasizing the potential harm to the profession of writing.
Mike Masnick, CEO of Techdirt, countered by defending generative AI as fair use, comparing it to past legal disputes where indexing creative works for search engines was upheld.
The discussion highlights a broader debate about the power dynamics between tech companies and individual creators, with concerns about the impact of requiring tech companies to pay for content use.
Source: WIRED
Water: Why a 'thirsty' generative AI boom poses a problem for Big Tech
This article discusses the potential challenge posed by the increasing use of generative AI when it comes to water conservation. The author argues that while the use of generative AI can lead to cost savings, it can also require a lot of water, which is already a scarce resource. The author highlights various ways that tech companies are trying to minimize water usage while still maintaining their competitive edge. He also provides suggestions for how AI providers and users can work together to ensure that water is used responsibly and sustainably.
Source: CNBC
How generative AI is put to work in business applications
Generative AI is a form of artificial intelligence technology, powered by algorithms, that helps to generate new and original outcomes from data. It can be used in business applications in a number of ways. For instance, generative AI could be used to create product designs and concepts; develop new ideas and strategies for marketing campaigns; optimize processes, such as supply chain management; and generate insights in areas such as customer sentiment. Generative AI offers the potential to uncover new trends and opportunities that would normally remain hidden. It eliminates much of the time-consuming and painful work associated with traditional data analysis, such as manual data aggregation. Additionally, generative AI can produce actionable insights in real-time, without any need for human input. This makes it an invaluable tool for businesses to better understand their customers, markets, and environments quickly and easily.
Source: Computer Weekly
Pimento turns creative briefs into visual mood boards using generative AI
This article is about Pimento, a new AI-powered technology that can transform creative briefs into detailed visual mood boards. It leverages generative AI to analyze language in the brief and generate visuals that match the suggested mood. This technology could be useful for designers looking for inspiration, marketers attempting to envision the final product, and creative directors wanting to better communicate the ideas they have in mind.
Source: TechCrunch
How Generative AI Will Render CX Unrecognizable By 2030
Generative AI has the potential to transform customer experience in the coming years. By 2030, businesses will have access to more sophisticated technologies that could automate tasks, analyze user data, and respond to customer inquiries much faster than before. Generative AI will enable businesses to provide a more personalized customer experience by creating digital environments that are tailored to individual users. AI is also expected to automate routine tasks, like customer service inquiries and onboarding processes, which could lead to significant cost savings and improved customer convenience. With its ability to create new content, businesses will be able to engage with customers in new and creative ways. As such, generative AI is likely to completely change how businesses interact with their customers by 2030.
Source: Forbes
McDonald's Taps Generative AI as Restaurants Automate
McDonald's has partnered with a generative artificial intelligence (AI) company to help automate its restaurant operations. The company's AI technology — which uses deep learning algorithms to generate a variety of data-driven solutions — is expected to help McDonald's improve its operations across the globe. The AI technology will help to streamline operations and could potentially lead to cost savings and other benefits. It remains to be seen how McDonald's will benefit from this partnership in the long run, but the restaurant chain is clearly looking towards automation and AI as the way forward.
Source: PYMNTS.com
It's time for everyone in your company to understand generative AI
It’s time for everyone in your company to understand generative AI, the technology powering many of today's most advanced applications. Generative AI is rapidly transforming everything from the way automated systems are managing stock portfolios to the way autonomous vehicles are able to safely and quickly navigate traffic. Companies must understand the fundamentals of the technology, its potential uses, and its ethical implications in order to recognize opportunities to leverage it to their advantage. This might require retraining existing employees, hiring staff specialized in generative AI, and implementing strategies to manage its use and impact ethically. If companies can make the investment in understanding AI, the potential rewards are boundless.
Source: MIT Sloan
Tech experts say AI won't replace humans any time soon
There is no doubt that artificial intelligence (AI) is transforming the way we do things, but tech experts are saying that it won't replace humans any time soon. AI still has a long way to go in being able to replicate the ability to think and make decisions like humans, and to fully understand the context of what it is perceived, making it complex. However, AI is being used to automate mundane tasks, helping us to get more things done faster, more accurately, and with less effort.
Source: CNBC
System of intelligence — generative AI at the app layer
This article discusses how Generative AI is set to revolutionize the app layer in 2023. It highlights how Generative AI can help developers create complex applications faster and with fewer resources, which leads to fewer coding errors. The article also discusses the potential of this technology to create new experiences for users. Finally, it speculates on the potential economic impact of this technological development.
Source: TechCrunch
Generative AI is transforming businesses everywhere. Big Tech will still be crowned the winner.
Generative AI, which uses artificial intelligence to create instead of merely recognize data, is relying heavily on Big Tech. Large tech companies, including Google, Apple, and Microsoft, are investing heavily in artificial intelligence research, development, and application. As a result, they have gained a strategic advantage in the area of generative AI. Additionally, these companies have access to vast amounts of data that fuel machine learning systems and aid in the development of AI-based services. As Big Tech invests more in AI-based software and services, the potential of generative AI is likely to increase exponentially over the next few years.
Source: businessinsider.com
Amazon CEO says generative AI will change every customer experience
This article highlights Amazon's plans to use generative AI technology to drastically improve customer experience. This type of AI allows machines to learn from existing data and generate new solutions to existing problems, making customer interactions more seamless and efficient. It will be interesting to see how Amazon implements this technology in the future, and what impact it will have on the customer experience.
Source: CNBC
6 free courses to master Generative AI from Microsoft, Google, Harvard, and more
This article provides a helpful overview of available free online courses for those wanting to pursue a Master's in Generative AI. The article mentions open courses from Harvard, Google, and other sources, as well as provides links to the courses. It also provides a comprehensive list of topics covered in the courses, as well as useful resources and tips for getting started. It's a great starting point for anyone looking to hone their Generative AI skills!
Source: indianexpress.com
Generative AI Battle: Google's Gemini and OpenAI's GPT-4 features compared
In recent years, Artificial Intelligence has become increasingly prominent in the field of technology. Two of the most popular Generative AI systems are Google's Gemini and OpenAI's GPT-4. They both offer quite different features and capabilities. Gemini provides natural language processing, dialogue and speech recognition, image and video recognition, and language translations. GPT-4, on the other hand, is capable of generating large amounts of text quickly based on inputs given. It can also decipher codes and generate summaries for text. Both are invaluable tools and each have distinct advantages that make them ideal for various applications.
Source: CNBC TV18
Generative AI's iPhone Moment
Google has released its advanced generative AI model, Gemini 10, which is capable of solving calculus problems, explaining memes, writing code, and providing feedback on cooking photos.
Gemini is promoted as a step towards a universal AI model, integrating capabilities across images, video, text, audio, and computer code.
Despite its capabilities, the launch of Gemini feels underwhelming, resembling a typical Silicon Valley product launch with incremental advances rather than groundbreaking innovation.
Gemini comes in three versions - Nano, Pro, and Ultra - with varying levels of complexity, mirroring the marketing strategy of products like the iPhone.
The launch signifies that generative AI is entering a corporate phase, focusing more on iterative improvements rather than revolutionary changes.
Source: The Atlantic
Key Issues Affecting The Effectiveness Of Generative AI
When it comes to generative artificial intelligence (AI), understanding the key issues that could potentially affect its effectiveness is essential for successful implementation. These issues include data accuracy, coding complexity, model accuracy, and interpretability. Data accuracy and coding complexity can affect how effectively the AI system is able to learn from data. Model accuracy and interpretability can determine the ability of the AI to accurately classify data. Additionally, the performance of the generative AI model tends to depend on the type of data it is trained on. To ensure maximum effectiveness, AI systems need to be equipped with high-quality data, robust coding, and reliable models.
Source: Forbes
Google's Gemini Is the Real Start of the Generative AI Boom
What thoughts come to mind when you read about Google's new Gemini generative AI system? The first thing that comes to mind is the potential for more efficient and effective artificial intelligence. This technology could help to create more innovative and sophisticated processes for solving complex problems, and it could dramatically speed up the development of AI-based systems in various applications such as computer vision and natural language processing. Additionally, it could allow AI to better understand, respond to, and interpret human language.
Source: WIRED