☕️ Greetings. It's Tuesday, August 8. I'm excited to bring you some incredible updates today. Get ready to dive into the latest AI trends and discover new developments. First time reading? join here! If you like my newsletter, please share it with your team. It will help me immensely.

According to a press release by BlackBerry, 75 percent of organizations worldwide are planning to prohibit the use of ChatGPT and other generative AI applications on work devices. The ban is aimed at mitigating potential security risks associated with these technologies. The decision comes as organizations become increasingly cautious about the potential misuse and data privacy concerns surrounding AI applications.

🗞️ Today’s Highlights:

• EXECUTIVE — McKinsey's latest annual Global Survey highlights the explosive growth of generative AI tools.

• THE LATEST — Most organizations to ban ChatGPT, generative AI apps on work devices

• QUESTIONS | OPINIONS — Ways for Washington to hold Silicon Valley accountable

• RESOURCES — Generative AI Comes to Jupyter & Stack Overflow and ChatGPT Updates

• AI TOOLS — Inari: Your intelligent AI copilot for business

• INDUSTRY | FUNCTION — Generative AI Use Cases for the Financial Services Industry

• WORK — About 20% of U.S. workers have jobs with tasks that could be aided or replaced by artificial intelligence (AI), as indicated by a Pew Research Center report

🗞️ EXECUTIVE

🟦 McKinsey's latest annual Global Survey highlights the explosive growth of generative AI tools. One-third of survey respondents reported regular use of generative AI in at least one business function within a year of its debut. The study reveals that AI high performers are already adopting generative AI tools, and organizations expect significant business disruption and workforce changes due to generative AI. Reference: Source

🟦 The concept of machines emulating human thinking dates back almost a century. Alan Turing's 1940s paper and the 1950s "Chess-bot" marked early steps. The term "artificial intelligence" emerged in 1956, defined by John McCarthy. Renewed interest centers on generative AI, exemplified by OpenAI's ChatGPT. By using neural networks, deep learning, and natural language processing, GAI models simulate human thought processes. Despite challenges, GAI's impact on economies, industries, and labor is substantial. It's not a mere hype cycle; funding and adoption are growing rapidly. Industries, including tech, could benefit from the integration, production, and scale of AI. GAI's transformational potential in productivity and GDP growth is significant, while ethical, privacy, and labor displacement concerns warrant consideration. Reference: Source

🗞️ THE LATEST

1. The Rise of Generative Artificial Intelligence (AI) in Manufacturing: Focus on the Top 10 Opportunities for Growth and More

   SUMMARY: This study explores the transformational potential of generative AI technologies in manufacturing and analyzes growth prospects and innovative use cases in various industrial applications. SOURCE: GlobeNewswire

2. Gartner Survey Shows Generative AI Has Become an Emerging Risk for Enterprises 

   SUMMARY: Gartner's survey reveals that generative AI, like OpenAI's ChatGPT and Google Bard, has become a top concern for enterprise risk executives due to its rapid growth and potential risks in various use cases. SOURCE: Gartner 

3. 10 ways generative AI upends the traditional database SUMMARY: Generative AI is transforming how data is stored, structured, and queried, leading to more complex, adaptive, and intuitive database systems. SOURCE: InfoWorld

4. Subtle Medical named to the 2023 CB Insights GenAI 50 List of Most Innovative Generative AI Startups

   SUMMARY: Subtle Medical is recognized for its achievements in generative AI models for better image data generation and radiology workflow solutions, making it one of the top 50 most innovative generative AI startups. SOURCE: PRNewswire 

5. Most organizations to ban ChatGPT, generative AI apps on work devices

   SUMMARY: The majority of global businesses are considering or implementing bans on ChatGPT and other generative AI applications in the workplace due to concerns about data security and privacy. SOURCE: CSO Online 

6. This Week in AI, August 7: Generative AI Comes to Jupyter & Stack Overflow • ChatGPT Updates

   SUMMARY: Jupyter AI, a new extension, brings generative AI capabilities to Jupyter notebooks and JupyterLab IDE, allowing users to leverage large language models for code explanation, generation, and more. SOURCE: KDnuggets 

7. Top trends impacting the future of data science and machine learning: Gartner

   SUMMARY: Gartner identifies five trends impacting the future of data science and machine learning, emphasizing the growing significance of generative AI across industries. SOURCE: Channel Daily News 

🗞️ QUESTIONS | OPINIONS

In April, lawyers representing Avianca Airlines discovered that a passenger's lawsuit alleging injury due to an airline cart was supported by fabricated legal cases generated by ChatGPT. The incident is part of a wider pattern of generative AI spreading falsehoods, scams, and harmful content. The Biden administration recently announced voluntary commitments from leading tech companies, including OpenAI, Microsoft, Google, and Meta, to ensure the safety and trustworthiness of their AI products. However, experts argue that these commitments lack concrete enforcement mechanisms. Effective regulation of AI could include mandatory third-party testing, transparency about AI system capabilities and limitations, and safeguards against bias and discrimination. Government leadership through funding, standards, and purchasing guidelines, along with tamper-proof labeling of AI-generated content and protection of intellectual property from AI, are suggested strategies to address AI's potential risks. While challenges exist, regulation is becoming necessary to prevent the negative impacts of AI. Reference: Source

_{Reference: Wong, M. (2023, August 7). THE AI CRACKDOWN IS COMING. The Atlantic.} 

🗞️ RESOURCES

Accelerating Industrial Planning with Generative AI and NVIDIA Omniverse

Video source: NVIDIA

◼️ This Week in AI, August 7: Generative AI Comes to Jupyter & Stack Overflow • ChatGPT Updates - KDnuggets Summary: The open-source Project Jupyter team released Jupyter AI, an extension bringing generative AI capabilities to Jupyter notebooks and JupyterLab IDE. Jupyter AI enables users to interact with large language models, use magic commands to generate code and content, and answer questions about local files. It emphasizes responsible AI usage by providing control over model selection and tracking AI-generated output.

◼️ Top August 2023 Resources for Generative AI Founders - NFX Library Summary: The NFX Library features resources for generative AI founders, including articles on AI startups transforming industries, market maps, tech stacks, and NFX's investments in AI-powered platforms like Imagen and Theator. The library provides valuable insights for those interested in the potential of generative AI technologies.

Accelerating Industrial Planning with Generative AI and NVIDIA Omniverse

◼️ These are the 12 best books to get up to speed on the hot new world of generative AI, according to experts

Impromptu: Amplifying Our Humanity Through AI Author: Reid Hoffman, LinkedIn cofounder, investor at venture firm Greylock Partners, and former board member of OpenAI. This book, available as a free pdf, provides insights into the large language models behind generative AI tools like ChatGPT and GPT-4. Written with GPT-4, the book explores various applications, including light bulb jokes, epic poems, original sci-fi plots, and more.

🗞️ AI TOOLS

Inari: Your intelligent AI copilot for business

Listening: Listen to Academic Papers on the Go

BlogToPod: Turn Your Blog Into A Podcast In Minutes

TryChatter: Dead simple LLM iteration and testing

Artie: Artie Transfer is an open source data integration platform that enables real-time data replication between databases and data warehouses.

Disclaimer: 1) The tool descriptions may include messaging from each tool site. 2) Please thoroughly read the site details before using and/or acquiring any of the tools listed above.

🗞️ INDUSTRY & FUNCTION

Generative AI Use Cases for the Financial Services Industry

AI is transforming architecture by automating design tasks, from layouts to construction details. XKool is an AI company leading the way, creating entire building projects quickly. While AI aids creativity, concerns arise about data privacy and standardized designs. Architectural firms are using AI tools for various purposes, from idea brainstorming to spatial analysis. Architects must adapt to AI's presence and its potential to reshape their profession. The article emphasizes that AI is already changing architectural design, urging architects to embrace it for innovation.

Reference: Source

🗞️ WORK

Europe must prioritize continuous learning to address the evolving skills needs of its workforce. The EU promotes lifelong training, particularly in digital skills, through initiatives like the European Year of Skills and partnerships with companies and institutions. Motivating individuals and involving employers are key challenges. Initiatives like micro-credentials and a potential "skills passport" aim to facilitate ongoing learning and recognition of acquired skills. Embracing continuous learning is crucial for Europe's workforce to remain competitive. Reference: Source

About 20% of U.S. workers have jobs with tasks that could be aided or replaced by artificial intelligence (AI), as indicated by a Pew Research Center report. Occupations relying on analytical skills such as critical thinking, writing, science, and math are more susceptible to AI influence. Interestingly, those in AI-exposed industries are more likely to believe AI will benefit their jobs. A Pew survey reveals that workers familiar with AI see more benefits than harm. While the exact number of jobs at risk remains uncertain, AI has already led to job cuts. Jobs with high, medium, and low AI exposure include roles like budget analysts and web developers (high), chief executives and veterinarians (medium), and barbers and child care workers (low). Factors such as education, gender, and ethnicity influence AI exposure, with higher-educated individuals and women being more exposed. Workers in highly exposed roles tend to view AI optimistically, with 32% of tech workers believing AI will help their jobs. Overall, 16% of U.S. adults expect AI to be more beneficial than harmful, while 15% anticipate the opposite. Reference: Source

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