Reasons to buy the ‘Artificial Intelligence – Executive Briefing’ strategic intelligence report:

This fifth edition of our AI Executive Briefing focuses on the emergence and implications of agentic AI.

This edition of our AI Executive Briefing focuses on the latest developments in agentic AI, robotics, the language model landscape, leading AI startups, geopolitical tensions, AI governance, and sustainability.

It also covers the latest developments in the AI market, a discussion of leading AI start-ups, the potential impact of President-elect Trump’s second term, AI regulation, and the prevailing issue of power consumption.

The report will help better understand the impact of AI on your business – or if you are interested in other strategic issues ranging from cybersecurity to ESG, fintech, energy transition or geopolitics.

Generative AI is likely to pose a threat to every business across every sector in the coming years. The impact will expand across sectors and business functions as generative AI becomes more accurate and is able to provide reliable factual advice.

  Key highlights from the report:

Agentic AI is the next key phase in generative AI development and will be key to turning language models into revenue-generators. Private cloud models are expected to be favored over public cloud in areas where latency and security are paramount.

Progress in large language models (LLMs) is slowing down, and usability is unclear. Small language models (SLMs) trained for specific verticals are cheaper and faster to deploy. They are likely to see greater enterprise adoption.

Despite volatility in the tech stock market through 2024 and a general slowdown in tech start-up funding, there have been some notable funding rounds, including $1 billion raised by Safe Superintelligence and $6.6 billion by OpenAI.

 We recommend this valuable source of information to anyone involved in:

C-suite executives – Cross Industries

AI Technology Leaders and Startups

Business Development and Market Intelligence

Investment Analysts and Portfolio Managers

Professional Services – Investment Banks, PE/VC firms

M&A/Investment, Management Consultants, and Consulting Firms

Artificial Intelligence (AI) Strategic Intelligence Report Overview

Agentic AI is the next key phase in generative AI development and will be key to turning language models into revenue-generators. Private cloud models are expected to be favored over public cloud in areas where latency and security are paramount.

The “Artificial Intelligence (AI) – Executive Briefing (Fifth Edition)” report helps you understand the impact of artificial intelligence on your business. It focuses on generative AI and the threats and opportunities it poses to every business across every sector. This fifth edition of our advanced AI strategic intelligence report focuses on the emergence and implications of agentic AI. It also covers the latest developments in the AI market, a discussion of leading AI start-ups, the potential impact of President-elect Trump’s second term, AI regulation, and the prevailing issue of power consumption.

Artificial Intelligence – Agentic AI

An AI agent operates independently, making decisions and executing tasks without human intervention. It pursues predefined objectives using techniques like reinforcement learning and evolutionary algorithms while adapting its behavior to environmental changes or novel situations. In the long language model (LLM) era, non-AI automated agents have become AI-enabled, using machine learning and LLM technologies, to transmit data and control machines in real-time. Due to the complexity of operational technologies, multiple AI agents will be deployed, each with their respective knowledge base, to work together on separate but related tasks.

Agentic AI transforms industries with autonomous decision-making, real-time optimization, and personalized solutions, enhancing efficiency, scalability, and innovation. It can be implemented across a variety of sectors such as automotive, healthcare, and financial services.

Artificial Intelligence – Robotics

AI advancements are propelling independent robotic tasks while the declining costs and labor shortages are accelerating industry-wide adoption. Various AI training methods cater to specific applications. For instance, agentic AI teaches robots to make informed decisions independently, without human input, by perceiving and learning from their surroundings. The AI acts as an “agent” in simulated or real environments, learning through reinforcement and behavior modeling. This method represents a fundamental shift in human-machine interaction as AI agents understand context, can plan, find information from multiple sources, and execute complex processes autonomously.

Artificial Intelligence – LLM Progress

Small language models (SLMs) are compact AI models trained for specific use cases and delivering high efficiency and relevance. They are designed to focus on specialized tasks within industries, such as finance, healthcare, and legal. Moreover, SLMs are typically more accurate than LLMs for specialized tasks because they are specifically trained on refined and targeted datasets for particular applications. They are also cheaper than LLMs and can be run on the edge, meaning data never leaves the local network.

AI Market - Governance

The strength and the focus of AI regulation are two important dimensions shaping different approaches. An increasing number of countries, such as the UK, Japan, and Brazil, who were previously in favor of a non-statutory approach, have started to draft new AI regulations. Meanwhile, The EU AI Act’s risk-based approach is inspiring new AI legislation, e.g., in Australia, Brazil, and Canada.

AI Market – Competitive Landscape

OpenAI, Databricks, Anthropic, xAI, and Mistral AI are some of the leading AI startups. OpenAI is the world’s third highest-valued start-up after ByteDance and SpaceX. However, OpenAI’s relationship with Microsoft is now faltering as they are reluctant to become overdependent on OpenAI. Meanwhile, OpenAI is concerned that it is too dependent on Microsoft for computer resources.

Harvey AI is a start-up that has partnered with OpenAI to create custom-trained LLMs for the legal sector. This includes executing tasks such as contract analysis, due diligence, and regulatory compliance checks. Winnow is a UK start-up in the food sector using machine vision and AI to combat commercial food waste. It has partnered with numerous retailers and hotel chains, such as Ikea, Four Seasons, Hilton, and Ritz-Carlton.