2025, the year AI takes off in Europe?

by admin | January 13, 2025 | Adoption of AI, AI Agents, Financing, AI and SMEs

2024 was the year of AI adoption in business. Will 2025 be the year AI really takes off?

Market analysis and adoption trends

In 2024, AI adoption grew exponentially in Europe, with an increase of 32% to reach a penetration rate of 38% in companies. A progression that testifies to a paradigm shift in the perception and use of generative AI.

The European AI market in Europe has reached a valuation close to $50 billion in 2024, signaling a narrowing technology gap with the US.

French startups, in particular, stood out with 17.5% of all generative AI startups in Europe, consolidating its leadership position in the European technology ecosystem.

Impact on productivity and sectoral challenges

Productivity gains

Companies that took the generative AI plunge in 2024 saw their productivity soar. According to a study by PWC, generative AI has increased the productivity of business users by 30 to 40%.

This substantial improvement in operational efficiency particularly benefited the finance, retail and information services sectors, which accounted for over a third of AI investments.

And persistent obstacles

Despite these advances, Europe's generative AI ecosystem faces considerable challenges:

- Funding remains the main obstacle for 48% of European generative AI startups.

- Regulatory constraints and limited access to high-performance computing infrastructures are major obstacles to innovation and competitiveness.

Strategic and technological challenges

Investment and competitiveness

The funding gap between European AI startups(European AI startups raised "only" 2.37 billion euros) and their American counterparts such as OpenAI and Anthropic (14.3 billion euros raised) highlights the need for a more aggressive investment strategy to maintain European competitiveness.

Human capital and skills

The shortage of AI talent remains a critical challenge, with 61% of companies citing a lack of digital skills as the main drag on their performance. Sadly, digital transformation still remains unaccomplished on the Old Continent. This situation highlights the urgent need for large-scale training and retraining initiatives.

Computing infrastructures

Access to the computing power needed to develop generative AI is a major strategic challenge, not only in terms of cost, but also in terms of independence and sovereignty.

Nvidia's announcement of " Project Digits", a personal AI supercomputer available at around 3,000 euros, could democratize access to computing resources and accelerate innovation in the field for researchers and developers.

This project has the potential to be a real game-changer for the democratization of AI.

Outlook 2025: the year AI goes from "cool" to "crucial

2025 promises to be a pivotal period for artificial intelligence, with major advances that promise to profoundly transform businesses and society. What are the main trends to watch out for?

Accelerated adoption of generative AI

By 2025, generative AI will have gone from being an experimental tool to a technology widely adopted by businesses.

By 2026, 80% of companies will have integrated APIs or generative AI models into their production environment.

The emergence of multi-agent systems

Multi-agent systems (MAS) will represent a major evolution, moving from simple chatbots to complex, autonomous AI ecosystems.

By 2025, 82% of large companies plan to integrate these agents, which will be able to manage complex tasks independently, optimizing operational processes.

Multimodal AI and advanced personalization

Multimodal AI, capable of simultaneously processing text, image, audio and video, is set to grow significantly. The market for this technology is expected to reach $98.9 billion by 2037.

This evolution will enable unprecedented personalization of user experiences, particularly in e-commerce and services.

Integrating AI into workflows

AI will no longer be an isolated tool, but will be seamlessly integrated into everyday business processes.

25% of companies already using AI will be ready to deploy intelligent agents by the end of 2025, radically transforming workflows and freeing up employees for more strategic tasks.

Massive investments in sight

Global spending on AI solutions is expected to reach $307 billion by 2025. This rapid growth in investment testifies to the strategic importance of AI for companies seeking to remain competitive in an ever-changing technological landscape.

In 2025, generative AI, it's now or... now!

2025 will mark a decisive turning point in the adoption and integration of AI, redefining business models, operational processes and human-machine interactions.

Companies that know how to take advantage of these advances will be best positioned to thrive in this new era of artificial intelligence.

Ready to explore the potential of AI for your business? Contact us for a personalized discussion on integrating AI into your strategy.

AI agents: a new growth driver for SMEs and VSEs in 2025

by admin | November 21, 2024 | AI and SMEs, AI Adoption, AI Agents

Artificial intelligence is no longer just for big business. AI agents, true intelligent digital assistants, are revolutionizing the daily lives of French SMEs and VSEs.

When we talk about AI, we're mainly talking about Generative AI, which is essentially used to create new digital content (text, images, music, etc.).

What does an AI agent offer compared to generative AI?

In fact, an AI agent is like an intelligent virtual assistant that can act autonomously to accomplish specific tasks and solve problems.

Here are a few key words to explain the main features of an AI agent

Specific. Each AI agent is designed with a specific purpose in mind, such as answering questions, managing an agenda, or controlling a system.
Autonomous. The AI agent can operate without constant human intervention. It makes its own decisions based on its environment and objectives.
Perception. It is able to "perceive" and understand its environment thanks to sensors or interfaces, like a robot that uses cameras to see, or a program that analyzes data.
Decision-making. The AI agent can analyze the information it receives and make decisions accordingly.
Action. It can act on its environment to achieve its goals, whether by giving responses, moving objects (for a robot), or performing numerical tasks.
Learning. Advanced AI agents can learn from experience and improve over time.

An AI agent can transform your business in many ways.

Here are a few concrete examples of how to take the first steps towards adopting an AI agent.

Competitive intelligence. Stay one step ahead of the competition. The AI agent can monitor the market, analyze trends and provide you with synthetic reports on your competitors and your industry.
Predictive analysis and decision support. Thanks to its ability to process huge volumes of data, the AI agent provides you with valuable insights to anticipate market trends, optimize your inventory management and fine-tune your marketing strategies.
Optimization of internal processes. The AI agent continuously analyzes your processes to identify bottlenecks and suggest improvements. It can also automate complex workflows, boosting your company's overall efficiency.
Automation of administrative tasks. The end of essential but unrewarding repetitive tasks. The AI agent can handle data entry, e-mail sorting, stock management and much more. So your employees can concentrate on higher value-added activities. And more motivating!
Personalized, responsive customer service. An AI agent can provide 24/7 customer support, answer frequently asked questions instantly, and even personalize interactions based on the customer's history. The result? Increased customer satisfaction and loyalty.
Personalized marketing. The end of inefficient mass marketing. The AI agent analyzes your customers' behavior to create ultra-targeted, personalized campaigns, significantly increasing your conversion rates.

Adopting an AI agent represents a real competitive turning point for SMEs and VSEs. It's a powerful lever for standing out in an increasingly competitive market.

How can you integrate an AI agent into your company?

Here are the main steps we recommend to our customers.

Identify your specific needs and the areas where AI can bring the most value.
Opt for existing, customizable AI solutions tailored to SMEs/SMBs, rather than developing complex systems in-house.
Train your teams in the use of these new tools to ensure smooth adoption.
Start with pilot projects to measure benefits before rolling out on a larger scale.
Ensure the security and confidentiality of the data processed by the AI agent, in particular by working with AIs whose servers are based in France or Europe.

Integrating an AI agent isn't just a technological investment, it's a real gas pedal of growth and creativity for your company.

By automating time-consuming tasks, optimizing your processes and providing valuable insights to differentiate you from the competition, the AI agent lets you focus on what really matters: strategy, innovation and business development.

At Gorillias, we're convinced that AI is a formidable growth lever for French SMEs and VSEs. Our expertise enables us to support you in this digital transformation, offering tailor-made solutions adapted to your specific needs, as well as the support to finance your first projects.

Ready to explore the potential of AI agents for your business?

Contact us for a personalized discussion on integrating AI into your strategy. Together, let's bring your "augmented enterprise" to life!

10 challenges of AI in business... and how to overcome them

by admin | AI and SMEs, Gorillias

Artificial intelligence (AI) offers tremendous opportunities for businesses of all sizes. Yet the challenges of enterprise AI are holding back adoption, especially for SMEs.

Rest assured, with the right approaches, these challenges are surmountable.

In 10 steps, let's discover together how to serenely meet the challenges of AI adoption in your company.

1. Find the right AI skills

Practical solution:

- Train your current employees in the basics of AI
- Collaborate with local schools for internships
- Call on freelancers for one-off projects

2. Control costs

Economic approach :

- Start small with a targeted pilot project
- Opt for affordable cloud solutions
- Evaluate long-term benefits to justify investment

3. Overcoming reluctance to change

Gentle method :

- Simply explain the benefits of AI for the company
- Involve your teams in the choice of AI projects
- Accompany the change step by step

4. Integrate AI into your existing systems

A step-by-step approach :

- Take stock of your IT tools
- Choose AI solutions that are compatible with existing systems
- Integrate AI step by step, without turning everything upside down

5. Managing your data

Simple method :

- Set up clear rules for data management
- Use easy-to-use tools to cleanse and organize your data
- Centralize your information in a single, secure location

6. Respect ethics and confidentiality

Responsible approach :

- Create a simple charter on the ethical use of AI
- Raise your teams' awareness of data protection
- Regularly check compliance with these principles

7. Convincing management

Effective strategy :

- Organize a clear presentation on the challenges of AI
- Show concrete examples of success in your sector
- Involve managers in the choice of AI projects

8. Measuring benefits

Concrete method :

- Define clear, measurable objectives
- Track both financial gains and process improvements
- Take stock regularly to adjust your approach

9. Keep pace with rapidly evolving technologies

Pragmatic approach :

- Stay informed with free newsletters and webinars
- Choose scalable solutions that adapt easily
- Ask the experts for advice

10. Scaling your strategy

Progressive method :

- Design your pilot projects with the future in mind
- Opt for cloud solutions that grow with you
- Plan deployment in stages, according to your needs

How we support you :

The challenges of enterprise AI can seem daunting, especially for SMEs that often have limited resources. But adopting AI is not an insurmountable obstacle course.

With a step-by-step approach and solutions tailored to your size, you can leverage this technology to give your business a significant and lasting boost.

The key to success lies in a well-thought-out strategy: start small, learn continuously and adapt.

This progressive approach, which we advocate at Gorillias, minimizes risk while maximizing the chances of success.. At Gorillias, we'll help you select that initial project based on your specific objectives, whether it's to optimize your internal processes, improve the customer experience or develop new products or services.

Our manifesto highlights the importance of democratizing access to AI for all businesses, whatever their size. That's why we've developed a range of flexible, affordable solutions,

Our modular, scalable solutions are designed to adapt to your growth and changing needs.

At Gorillias, we understand that each company has its own constraints, objectives and culture, which is why we offer tailor-made solutions.

Our approach allows you to approach AI with peace of mind, at your own pace and within your own means: we work with you to identify the most relevant opportunities for your business, taking into account your current resources and long-term goals.

By choosing Gorillias as your partner, you benefit not only from our technical expertise, but also from our in-depth understanding of business issues. Our aim is to help you harness the potential of AI to strengthen your competitive edge, improve your operational efficiency and open up new opportunities for growth.

Together, we can turn the challenges of AI into real opportunities for your business.

Want to know how AI can help your SME in concrete terms? Contact us for a no-obligation discussion. Together, we'll find AI solutions tailored to your business.

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