Cola Cola launches Gen AI Music Platform
Following the partnership with Open AI & hiring of Pratik Thakar - Coca Cola Launches Coke Studio AI, where people can create songs, videos and album covers using ChatGPT.
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. 48, starting on 3 December 2023.
3 essential features of global generative AI governance
Generative AI (also known as machine learning) is becoming increasingly sophisticated and is becoming increasingly used in the development of products and services. While the potential applications are tremendous, it is important to ensure that the technology is used responsibly and ethically. There is an urgent need for sensible governance and regulation around generative AI, to ensure that it is used safely and beneficial to society. The World Economic Forum has recently released a white paper that explains the principles of generative AI governance and regulation, and provides detailed guidance on how to ensure it is used ethically. The paper covers risk assessment, privacy and data protection, algorithmic bias and other topics relevant to generative AI. It is important that policymakers, businesses and other stakeholders continue to study this issue and develop sensible regulation to ensure that generative AI is used responsibly.
Source: The World Economic Forum
California governor calls for statewide generative AI training
California Governor Gavin Newsom has announced the formation of the California-based Global Artificial Intelligence and Blockchain Task Force in an effort to promote responsible AI and blockchain technology use. The team is comprised of board members from the University of California, Berkeley, Stanford University, Los Altos-based artificial intelligence startup USAAJ, and Blockchain-focused FinTech company Ripple. The task force is chaired by California's Secretary of Business, Economic Development and Technology, and will focus on research and development in both AI and blockchain technology, as well as regulation and policy guidance to ensure responsible tech use.
Source: Cointelegraph
The Amazing Ways Coca-Cola Uses Generative AI In Art And Advertising
Coca-Cola has appointed a global head of generative AI, Pratik Thakar, signaling how important they believe the technology will become. They want to use AI to enhance brand identity and make it more "approachable and useful to everyone".
They have partnered with OpenAI to create stunning AI-generated video advertising like "Masterpiece", which brings famous artworks to life. This shows the creative potential of combining AI and human talent.
They are seeking to empower independent artists and creators by building connections through initiatives like their Real Magic Creative Academy. They want to tap into AI-enabled creativity.
They have AI music-making platforms like Coke Studio where people can create songs, videos and album covers using ChatGPT. This allows festival visitors to get hands-on with creating via AI.
However, as AI transforms industries like advertising, there are concerns about the implications for human creatives. Will businesses divert money away from creatives and into AI art instead? Could unequal access to the most powerful AI further empower big corporations?
But responsible and ethical AI rollout could still ensure positive impacts. Human creativity will be hard to fully replicate. For now, AI seems likely to open new opportunities for artists and designers.
LinkedIn Shares New Insights into the Impacts of Generative AI on the Workforce
Generative AI is having a major impact on the modern workforce, according to LinkedIn's recent findings. LinkedIn has researched how generative AI is enabling automation, solving complex problems, and streamlining processes in the workplace. The research also highlights the implications of generative AI for job opportunities and the potential for new career paths to emerge in a digitally transformed future. As generative AI continues to become more widespread, it is essential for businesses to understand how to best leverage this technology to create a strong, competitive workforce.
Source: socialmediatoday.com
The Do's and Don'ts of Using Generative AI in the Workplace
Generative AI is a technology that has been gaining attention in the workplace for its potential to automate certain tasks and optimize workflows. Although it has not yet been employed as widely as other types of Artificial Intelligence, it has demonstrated its ability to generate new ideas and rules from existing data. Companies are experimenting with Generative AI to identify new opportunities or rules which can be integrated into existing systems. For instance, it can be used to create more efficient processes, suggest new products, identify trends, and develop better customer segmentation strategies. Generative AI also has the potential to reduce manual labor and can improve the speed and accuracy of decision-making. With its potential to increase productivity and optimize operations, Generative AI is increasingly becoming a necessary part of successful business operations.
Source: WSJ
How Generative AI Can Transform HR Practices For The Future
Generative AI has the potential to revolutionize HR practices for the future by automating mundane tasks, reducing bias, and improving candidate selection processes. For example, AI can be used to scan CVs for relevant keywords and match them to job descriptions, or automatically recommend candidates to recruiters based on skills and experience. It can also be used to source passive candidates and generate insights from industry trends. As AI becomes more entrenched in HR practices, companies will be able to make data-driven, informed decisions about their workforce and future-proof their HR strategies.
Source: Inc42
Employees weigh in on using ChatGPT and generative AI at work
ChatGPT, developed by the San Francisco-based company OpenAI, has completed one year since its launch, quickly becoming one of the most popular online applications.
The platform's success has sparked widespread debates about the benefits and pitfalls of artificial intelligence, particularly in the context of its use and implications.
Many American employees report using AI technologies like ChatGPT to complete simple tasks and technical work, indicating a growing trend of AI integration in professional settings.
Doug Dennerline, CEO of Mountain View-based software company BetterWorks, discusses how both employers and employees are embracing AI to enhance productivity in the workplace.
The video contributes to the ongoing conversation about the role and impact of AI in various sectors, highlighting its growing significance in everyday work environments.
Source: KTVU
Generative AI generates tricky choices for managers
As the use of artificial intelligence (AI) continues to evolve, managers are now having to face difficult decisions when it comes to incorporating AI into their business. Generative AI, in particular, is a form of AI that generates novel solutions to problems. While these generated solutions can offer new perspectives to help solve tricky business issues, there is also a risk of using AI that has been created without proper oversight. Managers must consider the quality of the generated models, any potential ethical or legal implications of using those models, and the potential resource needs for the implementation. In the long run, managers must weigh the benefits and risks of utilizing generative AI and make tough decisions on whether it's worth incorporating into their business operations.
Source: The Economist
Generative AI Will Transform Virtual Meetings
AI technology is rapidly evolving and its impact on virtual meeting technology will likely be significant. Generative AI, a type of machine learning technology, has the potential to revolutionize how virtual meetings are conducted by offering features like automated audio and visuals as well as interactive content. AI-powered virtual meetings could take the form of personalized briefings tailored to the specific needs of individual participants, augmented reality presentations, and AI-assisted conversations. With its potential to automate mundane tasks, increase efficiency, and personalize the meeting experience, Genertive AI could greatly improve virtual meetings for businesses, governments, and individuals alike.
Source: Harvard Business Review
Introducing Amazon Q, the generative AI-powered Assistant Tailored for Work
In this Ted Talk, Shonda Rhimes provides motivational advice for busy individuals. • Shonda emphasizes the importance of living a life of joy and fulfillment, rather than focusing solely on productivity and achievement.
She encourages viewers to remember that time is not limitless; making a conscious effort to enjoy the experience of life is crucial.
Shonda reflects on instances where she felt trapped and overwhelmed by her workload, but shares that moments of joy can be discovered and fostered, even in the presence of stress and exhaustion.
Ultimately, Shonda encourages viewers to allow themselves to follow their passions and focus on moments of joy, rather than leaving them behind for the pursuit of productivity and perfection.
Source: YouTube
AWS's transcription platform is now powered by generative AI
At Amazon's annual Re:Mars conference, the company announced a new feature of its Amazon Web Services (AWS) platform -- a speech-to-text tool powered by its own generative AI system that can transcribe audio and video recordings with high accuracy and low latency. The new AWS Transcription system is capable of recognizing speech in multiple languages and supports a variety of tasks such as user identification and search. It also allows users to eliminate background noise and customize transcriptions depending on their needs. According to Amazon, this technology could be used in medical transcription, customer service, marketing, legal, and other business applications. The release of AWS Transcription marks an important advancement in Amazon's efforts to position itself as a leader in voice technology.
Source: The Verge
Generative AI: Precursor to Autonomous Analytics
This article looks at how generative AI can be seen as the precursor to autonomous analytics. It explores how generative AI models can be used to create more accurate predictive models, giving organizations the ability to better predict future outcomes. It also covers how the emergence of this technology has made it easier to automate data analysis tasks, resulting in an increased efficiency in decision-making processes.
Source: DataScienceCentral.com
Generative AI is taking over the Startup World
The video emphasizes the growing importance of generative AI, suggesting it could be as impactful as the internet in the future.
There is a notable boom in the number of startups focusing on generative AI, accompanied by record-breaking funding in this domain.
According to Elon Musk, three critical components for success in the generative AI space are talented individuals, substantial computational resources, and access to data.
The video highlights the Advent of Geni Hackathon, a 7-day event hosted by Intel, targeted at AI developers, startup founders, and students, offering them an opportunity to network with industry leaders and develop AI applications using Intel's discrete GPUs.
The video concludes with a call to action, encouraging interested parties to register for the hackathon by December 5th at the Advent of j.com website.
Source: YouTube
What does the future hold for Generative AI Healthcare?
The future of generative AI is uncertain, but could bring major advancements for many different industries. Generative AI systems are able to create output based on input and rules given to them, and could potentially be used for the creation of complex multimedia products. For example, a generative AI system could be used to create interactive stories, dynamic 3D environments, and even entire resources for use in the industry, such as automated engineering tasks or medical diagnostics. Also, with generative AI, it would be possible to create new algorithms and strategies for trading and investment decisions. Lastly, generative AI could have a positive impact on the ubiquitous presence of artificial intelligence in our everyday life.
Source: MIT News
Generative AI could revolutionize health care — but not if control is ceded to big tech
The article "Metabolic targeting of cancer cells by coumarin-based boron-dipyrromethene fluorescent probes" published by Zeng et al. in Nature Chemistry is about how a team of scientists created fluorescent probes that can be used to target cancer cells. The probes can detect metabolic disturbances in cells that may indicate cancer. The study is significant because it demonstrates a potential new method for the diagnosis and treatment of cancer.
Source: nature.com
Will Generative Artificial Intelligence Deliver on Its Promise in Health Care?
The full article, "The Oxford English Dictionary and the Development of Medical Terminology: An Historical Perspective," can be accessed at the link provided. The article was published in JAMA, the Journal of the American Medical Association, in June of 2019. It examines the influence of the Oxford English Dictionary (OED) on the formation of medical terminology in English-speaking countries, beginning as early as the 17th century. The article also discusses the impact of the OED on medical usage in historical texts and current publications. Additionally, the authors analyze the development of medical terminology in other languages, such as Latin, and the implications of this for the development of medical terminology in English.
Source: JAMA Network
Finding value in generative AI for financial services
Generative AI can unlock vast new opportunities for the financial services sector. With its ability to build sophisticated models from vast datasets, AI can improve risk management and capital allocation, identify customer needs, and more. Financial services companies looking to make the best use of generative AI should focus on understanding the potential benefits as well as the risks and challenges associated with its use. This includes assessing the quality of the data used for predictions, identifying the most suitable algorithms and models, and ensuring effective communication of results to ensure trust in the system. Finally, careful consideration should be given to regulations and compliance when deploying AI in financial services.
Source: MIT Technology Review