What cannot be missed for the rest of 2023?

SirmioneCG
2023-09-10

“2023 has entered its final third, and the wave of AI transformation is reaching its zenith. In this new world order, what is the scale and trends in global especially China market? What technology and talent trends should companies and individuals heed? How can you craft your own ChatGPT applications and develop distinctive AI skills? This article will help you seize the ephemeral golden opportunities.”


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New World Order: Chips are the new oil, and neglecting investment risks falling behind


The stock price of NVIDIA, the world's most valuable chip company, has skyrocketed by 220% since the start of the year. According to JPMorgan's calculations, NVIDIA dominates the market for AI chips with over 80% market share, cementing its status as a global frontrunner. Jensen Huang, the CEO, attributes this remarkable achievement to the dawn of 'a new era in computing.' Companies across the globe are shifting their focus from general-purpose computing to accelerated computing and generative AI solutions.

Image credit:yahoo finance
The thriving AI industry demands massive computational power, a capability that NVIDIA's chips deliver, catapulting the company to the forefront of the wealth creation wave. Just a year ago, NVIDIA grappled with a performance downturn, but as of late 2022, the widespread adoption of large ChatGPT models swept across the global technology and venture capital landscape. The rise of ChatGPT signaled an impending surge in AI investment, for which NVIDIA was well-prepared. According to UBS, "NVIDIA is effectively playing the role of a 'kingmaker,' as a substantial influx of capital and new financing tools pursue emerging AI software and specialized cloud infrastructure models."
Image credit: Nvidia

As reported, Saudi Arabia and the United Arab Emirates have ordered 3,000 H100 chips from NVIDIA, totaling a $120 million purchase. Notably, nations in the Gulf Cooperation Council are channeling their petrodollars into the realm of AI, with Saudi Arabia constructing its third-generation "Kaust" supercomputer and the UAE developing an AI model called "Falcon". In the meantime, the UK is actively involved in advanced negotiations, seeking to acquire 5,000 robust H100 chips from NVIDIA for £100 million, with a determined focus on securing the computational capabilities essential for propelling the AI revolution. The UK's efforts to catch up with the United States, China, and Europe in acquiring the resources required for AI model training. In addition to the recent announcement of a partnership with NVIDIA for AI development, Reliance Industries, a prominent Indian conglomerate，has begun exploring a foray into semiconductor manufacturing. These instances collectively emphasize the imperative for heightened investments to ensure competitiveness on the global stage.

Excitingly, a mere day after the August 29th launch of the Huawei Mate60 Pro, stocks related to the concept saw a significant surge on the A-share market of China. This achievement also underscores Huawei's successful development of its proprietary 5G chip, the Kirin 9000S, featuring a cutting-edge 7 nm hyperthreading design. This self-developed chip stands as one of the world's most advanced, marking a significant milestone in the ascent of Chinese semiconductor technology.

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The most significant technology trends that warrant the attention of both businesses and individuals

In fact, throughout the remainder of 2023, substantial opportunities await both businesses and individuals to align with the global landscape, harness the potential of digital technology, and surf the crest of this emerging wave of AI transformation.

McKinsey's latest release of the 15 noteworthy technology trends for 2023 includes: 1.Applied AI; 2. Industrializing of Machine Learning; 3. Generative AI; 4. Web3; 5. Next-Generation Software Development; 6. Trust Architecture and Digital Identity; 7. Advanced Connectivity (5G/6G, Wi-Fi 6/7, etc.); 8. Immersive Reality Technologies (VR/AR); 9. Cloud and Edge Computing; 10. Quantum Technology; 11. Future of Mobility; 12. Future of Bioengineering; 13. Space Technologies; 14. Electrification and Renewables; 15. Climate Technologies Beyond Electrification and Renewables.

Image credit:McKinsey Technology Trends
According to McKinsey's research findings, generative AI stands as a pivotal turning point and a landmark technology in the development of AI. It is poised to spearhead the shift in new technological paradigms, ushering in novel business models, heightened productivity, and societal progress across various industries. Every sector holds the potential for a certain degree of disruption, and in the foreseeable future, generative AI is well-positioned to achieve end-to-end automation of business processes. The journey of digital transformation is an ongoing endeavor, 2023 is heralded as the breakout year for generative AI, witnessing an explosive growth in various types of generative AI tools：
OpenAI has introduced ChatGPT for Enterprise, delivering enhanced speed, advanced data analytics, robust security and privacy safeguards, shareable prompt templates, and extensive customization options. Moreover, the fine-tuning capabilities of GPT Turbo, the principal approach for deploying large language models (LLM) in enterprise settings, empower organizations and developers to construct their own ChatGPT solutions by integrating their proprietary data with tailored use cases to ensure more precise, secure, and targeted responses.

After the Copilot integrated new AI capabilities into Microsoft 365, Microsoft has recently announced the seamless integration of Python and Excel. This allows Excel users to harness the power of Python without the need for any additional setup.




Image credit:Meta

On August 23rd, Meta introduced SeamlessM4T, marking a significant milestone as the first integrated AI translation model supporting 100 languages. It's capable of performing a wide range of translation tasks. Currently, it stands as the largest and most feature-rich open-source translation model in existence.

Image credit:Meta

Midjourney has recently unveiled its INPAINTING feature, it enables easy fine-tuning of specific areas withoutstarting from scratch. By automatically filling gaps or completing missing areas, it leads to optimal outcomes.
Other remarkable instances of generative AI models include Suno, a text generation music AI model, and HeyGen's one-click translation video feature, etc. Notably, Magic Loops has introduced the fastest and most straightforward approach to automating software writing and execution. This cutting-edge tool integrates LLM with code, harnessing generative AI to generate a functional 'loop.' This significantly streamlines workflows within minutes, with the aim of bridging the gap in coding skills to pave the way for a brighter future through automation, potentially enabling one programmer to support every five individuals.

In China, ERNIE Bot (文心一言), a new-gen generative AI product and Baidu's self-developed knowledge-enhanced LLM, is now fully open to the general public on August 31st, becoming the first Chinese-native AI app to claim the top spot on Apple Store's list of free apps. According to various public evaluations by sources like People's Daily, Xinhua News Agency, and Tsinghua University, ERNIE Bot has the potential to surpass ChatGPT in comprehensive capabilities, positioning it significantly ahead of other domestic large models. Other Chinese tech giants like Tencent have officially introduced their self-developed Hunyuan LLM, while Ant Group unveiled its specialized financial LLM designed to meet the specific needs of the financial industry in early September. This marks the dawn of a new era characterized by a myriad of innovative models.

All of these notable trends and tools mentioned above have the potential to empower both businesses and individuals to adopt more efficient and intelligent work approaches, leading to reduced labor costs and expanded opportunities for innovation and growth. They play a crucial role in attaining success within the changing and fiercely competitive business environment.

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The scale and trends of AIGC in China
McKinsey's research suggests that generative AI could potentially contribute between $26 trillion to $44 trillion to annual global economic growth. Furthermore, an increasing number of businesses are actively seeking to tap into this value. McKinsey's annual Global AI Outlook survey highlights the substantial financial advantages associated with adopting artificial intelligence, with 25% of respondents crediting AI for 5% or more of their company's net profits.
Picture source from Airui research

Iresearch Consulting's August report highlighted that between 2021 and July 2023, a total of 280 investments and financing activities took place in the Chinese AIGC (AI-Generated Content) market, underscoring its remarkable popularity and rapid growth. Generative AI, as a technological tool within the realm of AIGC, appears to have received a more enthusiastic embrace in China, including government encouragement and the attention of major enterprises.

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Trends of talent acquisition in fields such as generative AI
When a new industry arises, it often means that most individuals lack prior experience, presenting a golden opportunity. Survey data reveals that the demand for talent in generative AI has been consistently strong and rapidly increasing since 2018. With growing interest and investments, there is the potential for substantial growth in talent demand beyond 2023. Employment trends in the generative AI sector have taken a distinctive path compared to other technology fields, as the position count of directors and managers has exceeded that of individual contributors.

Image credit:McKinsey

Research reveals that numerous businesses are swiftly devising strategies to take advantage of generative AI's potential, resulting in a substantial surge in talent demand, particularly in management and development roles. According to McKinsey's 2022 Global AI Business Executive Survey, 75% of Chinese respondents acknowledged the challenges they encounter when recruiting data scientists. Additionally, over half of the respondents expressed the difficulty of finding qualified professionals to fill critical AI-related positions, including data engineers, data architects, and machine learning engineers. These roles play a pivotal role in crafting, building, and advancing the digital and AI capabilities essential for industrialization.

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Cross-Industry Empowerment AI Knowledge Framework and Skill Development

Exploring the development of unique and customized AI, ChatGPT applications is crucial for driving transformations, and imperative for both businesses and individuals. Using the tailor-made AI and ChatGPT skills built upon existing industry knowledge can systematically help us create solutions and prevail in the new competitions.

For instance, mastering ChatGPT turbos and prompts for specific industries, such as market trend analysis, competitor analysis, customer persona creation, product development strategies, sales funnel optimization, content marketing plans, customer service enhancement, supply chain optimization, financial planning and analysis, and best practices in legal compliance guidelines, will be essential strategies to break through bottleneck and propel your business forward.

Here comes the cross-industry AI empowerment seminar

AI is fundamentally reshaping the landscape in various industries, presenting unparalleled opportunities and challenges in technology, manufacturing, finance, agriculture, consumer goods, renewable energy, healthcare, education, and beyond. Business owners, government officials, investors, researchers, CIOs, CFOs, CTOs, and managers at all levels are encouraged to join a practical seminar that delves into real-world AI application scenarios. Explore innovative solutions and gain valuable insights.

The seminar will share diverse application cases of AI and practical implementations of ChatGPT across different industries, help you seize opportunities in this rapidly evolving era, not only by addressing current challenges but also by building a solid foundation for cross-industry advancement.

AI Empowering the Industry Seminar (Duration: 5 hours)

Course Outline Summary:
I. Current State of AI Technology

  1. Introduction: Definition and Development Journey of AI

  2. Recent Advances in AI Technology: Machine Learning, Neural Networks, Applications in Computer Vision, Natural Language Processing, Speech Recognition, and more

  3. AI Application Cases in Various Industries:Transportation, Healthcare, Finance, Manufacturing, Commerical

II. AI and the Manufacturing Industry

  1. Challenges Faced by the Manufacturing Sector

  2. How AI Addresses Pain Points in Manufacturing

  3. Roadmap for Implementing AI in Manufacturing, Data Infrastructure Development, and Continuous Improvement of Model Performance

III. Risks and Future Trends
AI Risk Management, Edge Computing for Edge Intelligence, Autonomous AI Beyond Human Intelligence, and more

Industry Applications of Large Models like ChatGPT (Duration: 3 hours)

Course Outline Summary:

I. Relevant Technologies and Potential Industry Application Scenarios Behind Large Models

  1. Technical Principles and Development Path of ChatGPT
  2. Training Data and Performance Testing of ChatGPT
  3. Some Potential Application Scenarios of ChatGPT in Specific Vertical Industries: Finance, Law, Healthcare, Meteorology, Industrial Operations, and more
II. Implementation Paradigms of Existing Turbo models

Step-by-step guides of GPT Prompt Engineering: Interpreting Turbo Model Projects in Various Fields, from Basic Models to Accelerated Implementation Processes in Finance, Law, Healthcare, Knowledge Graphs, and more.

III. Paradigms and Typical Applications of IndustryLarge Models Q&A

Industry System Implementation Paradigms, Case Studies, Technical Challenges, and Future Trends

Scan the QR code below for detailed information and registration：



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