The report is just under 150 pages. Below is the abbreviated table of contents:

2023 in Review: Year One of Generative AI

• Although you may not have noticed it in your daily life yet, the greatest transformation of our time has already begun.
• There are already professions that cannot be understood without the use of AI assistants.
• Generative AI Transforms the Business World
• Million-Dollar Investments and Firm Commitment from Executives
• Large Companies are at the Forefront of Change
• Easy to Implement and Low Risk
• A Transformative Investment
• Technological advances.
• Impact on Employment.
• Regulation.
• The AI PIN
  

Predictions: AI in 2024

• In its second year, Generative AI will start to reveal its true face.
• Transformation of Creative and Knowledge Work.
• AI will improve allowing us to do new things that we couldn’t have done before.
• AI Agents.
• Regulation.
• AI Assistants in Every Office.
• Consolidation of the Role of AI Engineer.
• AI Training Programs.
• Competitive Open Source Foundational LLM Models.
• Multimodal LLM Applications.
• Consolidation of the Technological Stack Necessary for Developing Full-Stack LLM Applications.
• Rise of Hybrid Applications with LLM Functionality.
• JavaScript Gains Ground in LLM Application Development.
  

Top 2023 AI Startups

• Which AI startups are Silicon Valley investors’ favorites in 2023?
• #30. Mezli: Robot-run Mediterranean grain bowl restaurant ($4 million raised).
• #29. Orby AI: Task Automation ($4.5 million raised).
• #28. Durable: AI-powered Business Services ($6.25 million raised).
• #27. Noetica AI: AI-based Corporate Debt Analysis Platform ($7.5 million raised).
• #26. LlamaIndex: LLM App Development Framework ($8.5 million raised).
• #25. WellSaid: AI-powered Corporate Content ($12 million raised).
• #24. Treat: AI-customized ads ($17 million raised).
• #23. Twelve Labs: AI-powered Video Search Tools ($17 million raised).
• #22. Replicate: Cloud-based Deployment of AI models ($18 million raised).
• #21. Aily Labs: custom enterprise AI tools ($19 million raised).
• #20. Lumachain: Tracking food supply in real-time ($22 million raised).
• #19. Mindee: API for automated data extraction ($23.5 million raised).
• #18. Luma Ai: AI-powered 3D images on phones ($25.5 million raised).
• #17. Magic.dev: AI assistant for coding efficiency ($28 million raised).
• #16. Predibase: Low-code Deployment for AI models ($28.5 million raised).
• #15. LangChain: LLM App Development Framework ($35 million raised).
• #14. Leena AI: AI Assistant for Business ($40 million raised).
• #13. Captions: AI-driven Video Editing ($40 million raised).
• #12. MindsDB: facilitates deployment of AI apps ($50 million raised).
• #11. Entos: AI-powered Drug Design ($56 million raised).
• #10. SaaS Labs: Sales and Support Automation ($100 million raised).
• #9. Replicant: AI for Human-Like Customer Support ($113 million raised).
• #8. Run AI: GPU Efficiency for AI ($118 million raised).
• #7. Secureframe: AI-driven Security Compliance ($135 million raised).
• #6. Pinecone: Vector Database for AI Apps ($138 million raised).
• #5. Hugging Face: AI Development Tools ($165 million raised).
• #4. Character.AI: AI-based Interactive Chats ($193 million raised).
• #3. Adept: AI for task automation ($415 million raised).
• #2. Alpha Sense: AI-powered Data Analysis ($623 million raised).
• #1. Next Insurance: AI-powered Insurance for Small Business ($881 million raised).
  

AI by Industries and Roles in 2023

• Summary
• Customer and Employee Experience
• Data Safety and Content Quality
• Automotive Industry
• Packaged Consumer Goods Industry
• Energy, Mining, and Water Supply Industry.
• Health and Life Sciences Industry
• High Technology Industry
• Insurance and Financial Services Industry
• Logistics and Supply Chain Management Industry
• Factories
• Commerce and Hospitality Industry
• Telecommunications Industry
  

AI Use Cases in 2023

• 100 real cases of AI Startups that have earned at least $500,000
• 3 of the 100 real cases
• AI Agent to Multiply Customer Support Department Productivity
• AI Agent to generate new leads
• AI Agent saves 60% of the work of an auditor
  

Training for the new AI.

• How is the new AI engineer trained?
• Training for future AI engineers.
• A real case: the educational journey of a new AI engineer.
• List of courses taken by areas.
• The alternative: simplified and accelerated training.

AI and Jobs: Opportunities and Threats.

• Will AI replace or change your job?
• Jobs most affected by AI.
• Some examples of how AI changes jobs.
• Main functional areas affected by AI in the company.
• New job opportunities related to AI.
• How is the new AI engineer trained?
• From classic ML to the new AI.
• The new way of programming: software 3.0.

How to introduce AI into your company.

• How will AI affect your industry?
• In which areas of your company will AI have the most impact?
• Main AI techniques used in business.
• Roles and jobs most affected by AI.
• How to introduce AI into your company: first steps.
• How to carry out an AI Transformation Plan in your company.
• Plan for gradual adoption of chatGPT and similar AI tools.
• Technical implications of adopting AI in your company.
• The AI team in your company.
• How to decide which AI projects to undertake in your company.
• Phases in the development of an AI project.
• Technical tools for an AI team.
• Introducing AI into your company: mistakes to avoid.

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