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

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

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.

France, future leader in AI?

France, future leader in AI?

It's been a busy week for AI from the public authorities' point of view: after the birth of theAI Act the European the AI Commission's report Commission was published on March 13, 2024 and submitted to the French President.

A report that takes stock of the current situation and makes 25 recommendations for the country to take advantage of AI opportunities while controlling the risks.

We already knew: France is lagging behind in the adoption of AI... and that's not good news.

The report therefore aims first and foremost to "de-demonize AI without idealizing it". It stresses that the benefits of AI will not be automatic, but will depend on political choices and collective commitment.

Let's start with the facts:

 Significant growth potential

According to the report, AI could have a major economic impact. It could double France's annual growth thanks to the automation of certain tasks. After 10 years, GDP could increase by 250 to 420 billion euros, equivalent to today's industry.

Beyond this transitory effect linked to automation, AI also seems to accelerate innovation in a more perennial way. By facilitating the emergence of new products, services and models, it could induce a permanent increase in the rate of growth.

However, these gains are not guaranteed. Recent history shows that France has benefited little from the digital revolution, unlike the United States. To take advantage of AI, appropriate public policies will be needed, in terms of innovation, industry, competition, training, etc.

French companies lag behind

To date, France and Europe are clearly lagging behind in AI. Investment is 3 to 4 times lower than in the United States, on a comparable wealth basis. Only a handful of European companies are positioned in the AI value chain, and none of them are world leaders.

This delay poses a risk of economic downgrading. On the one hand, France could miss out on the AI economy and see its value captured by other countries. On the other hand, existing companies could lose competitiveness to new players.

To close this gap, the report recommends massively redirecting savings towards innovation, with the creation of a €10 billion "France IA" fund. It also recommends facilitating access to data, particularly personal data, making France a major hub for computing power, and supporting an open ecosystem of AI developers.

Contrasting effects on employment

As far as employment is concerned, the report estimates that AI will have an overall positive effect in France, despite uncertainties. On the one hand, the automation enabled by AI will eliminate some jobs, particularly those consisting of routine tasks. But on the other hand, AI should also create jobs in new professions as well as in existing ones.

An empirical study conducted on French companies shows that those who adopt AI see their total employment increase more than others. This positive effect is explained by the fact that AI replaces tasks, not jobs in their entirety. Only 5% of jobs can be directly replaced by AI.

However, this effect is not uniform. Certain administrative and commercial professions seem more exposed to job cuts. And self-employed workers performing easily automatable tasks could face increased competition from AI.

Beyond the effect on employment volume, AI could also widen inequalities. Companies that adopt AI tend to hire more highly skilled and technical profiles, which are better paid. But conversely, AI also seems to benefit the least skilled or productive workers initially.

To support these transformations, the report stresses the importance of initial and continuing training. It recommends investing in observation and research into the impact of AI on employment. Social dialogue is also seen as essential to building AI uses in a partnership-based way.

Impact on daily life

A technology that's already very present

Beyond the economic sphere, AI is increasingly present in our daily lives. According to a survey, 55% of French people say they are familiar with ChatGPT one year after its launch. But AI applications go far beyond that: facial recognition, translation, content recommendation, voice assistants and more.

This omnipresence arouses both fascination and fear in public opinion. 77% of French people see AI as a real revolution, but 68% are in favor of a pause in its development. This ambivalence is nothing new. In the past, many innovations (trains, electricity, etc.) have aroused fears, sometimes unfounded, sometimes justified.

To promote the acceptability of AI, the report calls for educational work and public debate. It recommends launching a vast plan to raise awareness and train the nation, drawing in particular on education and research.

Increasingly present personal assistants

Among the consumer applications of AI, voice assistants like Siri or Alexa are having a growing impact on our daily lives. They enable many tasks to be carried out without human intervention: listening to music, obtaining information, controlling connected objects, etc.

In the field of customer service, conversational agents are also developing rapidly. They are capable of answering basic questions in a fluid, natural way. Their deployment enables companies to reduce costs and improve service availability.

In the future, personal assistants are set to become increasingly intelligent and autonomous. They could become true everyday companions, capable of learning our preferences and anticipating our needs. Their mode of interaction should also evolve towards more natural, integrated interfaces.

Impacts on mobility and health

Two areas where AI could have a major impact are mobility and healthcare. The development of autonomous vehicles promises to radically transform the way we travel. It could reduce accidents, smooth traffic flow, facilitate parking and even reorganize urban space.

In healthcare, AI is opening up new perspectives in diagnostics, personalized medicine, epidemiology and prevention. Medical decision-support tools are being developed, capable, for example, of detecting cancers on the basis of imagery. Ultimately, AI could enable continuous, personalized monitoring of each patient.

However, these innovations also raise ethical and liability issues. They will require us to adapt our legal and insurance frameworks. The protection of highly sensitive health data will be a major challenge. The report calls for a societal debate on these issues.

Energy-hungry technology

Another challenge for AI is its environmental impact. Training large-scale AI models consumes large amounts of energy. According to one estimate, AI could consume between 85 and 134 TWh of electricity worldwide by 2027, equivalent to the consumption of Sweden.

This consumption is linked to the computing power required, which relies on energy-hungry processors. Their production also has an environmental impact, due to the extraction of rare materials. However, processors dedicated to AI represent only a tiny fraction of global production.

Faced with this challenge, the report calls for France to become a pioneer in sustainable AI. It recommends greater transparency on the environmental impact of models, directing research towards more sober solutions, and mobilizing AI itself to accelerate the ecological transition.

The 25 recommendations and 7 priorities (in blue to speed things up):

  1. Launch an AI awareness and training plan for the nation to create the conditions for collective ownership of the issues.
  2. Invest massively in digital companies and business transformation, notably via the creation of a €10 billion "France & AI" fund, to support the French AI ecosystem.
  3. Make France and Europe a major center of computing power, in the short and medium term.
  4. Transforming the approach to personal data to continue to protect while facilitating innovation.
  5. Promote French culture by providing access to cultural content while respecting intellectual property rights.
  6. Assert the principle of an "AI exception" in public research to boost its attractiveness.
  7. Structure a coherent diplomatic initiative aimed at founding global AI governance.
  8. Generalize AI deployment in all higher education courses and acculturate students in secondary schools.
  9. Invest in continuing vocational training for the workforce and training schemes around AI.
  10. Make social dialogue and co-construction the cornerstone of AI use.
  11. Equipping public agents to transform administration with AI.
  12. Better care thanks to AI by giving more time to care.
  13. Better education thanks to AI via individualized student support.
  14. Sovereign computing capabilities.
  15. Access quality data.
  16. Attract talent to build the technologies and uses of tomorrow.
  17. Massively deploy AI in the economy.
  18. Build the international governance of AI that is lacking today.
  19. Develop an AI systems evaluation capability in France.
  20. Avoid dominant competitive positions.
  21. Facilitate the training of AI models while respecting intellectual property rights.
  22. Greater transparency on the environmental impact of AI models.
  23. Directing research towards more sober AI solutions.
  24. Mobilizing AI itself to accelerate the ecological transition.
  25. Create a "1% AI" solidarity mechanism for developing countries.

What do we think?

While the report and the definition of the issues surrounding the AI revolution already underway are accurate, the 25 (!) recommendations have an incantatory air that can leave one dreaming...

And unsurprisingly, the temptation to regulate what doesn't yet exist is always present in the subtext, with, let's say... uncertain economic impacts, already seen in the recent past(cuckoo RGPD).

Nevertheless, let's remain optimistic: as the report points out, France has a number of strengths, but must act quickly and decisively if it is not to fall behind.

A certain band of gorillas 🦍 is already at work 😁.

And what do you think? We'd love your opinion.

Birth announcement

Birth announcement

Gorillias: a new era for the democratization of AI in the enterprise

March 5th 2024 marks a turning point the Artificial Artificial Intelligenceielle in France with the birth of Gorillias, a startup whose mission to make AI accessible accessible companieswhatever size.

AI for everyone: breaking down the barriers of cost and complexity

Despite its transformationalational potential for companies, ArtificArtificis still perceived as as an expensive andcostly and complexand complex to reserved for large-scale with resourcesants.

However, the reality is different: with the right models and and a pragmaticapproach, AI can be be deployed in an agile and affordable and affordable. Ct's all about positioning of Gorillias.

A hybrid approach combining powerful data and business expertise

The strength of Gorillias isside in its abilityability to design tailor-made AI solutions-solutions that combineining the power of machine learning machine learning algorithms with in-depth knowledge business challenges specific to eachindustry sector.

By feeding its models both large volumes of data data and expert knowledge professionals, Gorilliasiers, Gorillias developse applications AI applications that areto use and value-generating value.

The crucial issue of digital sovereignty

At a time when American tech giantstech giants giants dominate thethe AI market market, Gorillias is betting bets on an artificial intelligence intelligenceintelligencet the extensivelanguage models of Mistral AI, the first French and European in this field.

Open-source, respectdata-friendly and hosted on servers sécurisés en Francethese LLMs provide an essential technological building block for building a trusted trustedcompanies in Francecompanies in France and on continent.

Take advantage of innovation grants to get started

Aware that access to financement and support remains a majorfor PME wishing to inttion of AI, Gorilliasition as a facilitator.

AtFrance Num activator Num activator, the startup enables its customersbenefit from various public assistancededicated to innovation, such as the IA Booster program to help themto help themtion.

With Gorillias, a new new page in the democratization democratization of AIises.

At combining expertise technological expertise, intimateintimate knowledge of business challenges and commitmentcommitment to digital sovereigntymical sovereignty, the jea shoot is the meanss of its ambitions: to make Artifica lever for competitiveness and differentiation within the reach all Frenchises.

Gorillias is born!

 

Want to find out how your company can accelerate its adoption of AI and create its business solutions? Let's talk

What support is there for AI in France?

What support is there for AI in France?

Integrating artificial intelligence (AI) into business processes has become a major challenge for competitiveness and productivity.

In France, a number of aids and programs have been set up to support companies, particularly SMEs and ETIs, in this digital transformation.

Financial assistance and training

The IA Booster France 2030 program, launched by the French government, aims to support the digital transformation of SMEs and ETIs through the integration of AI solutions. The program offers training and support tailored to the concrete needs of companies, facilitating the deployment of AI solutions to boost their growth.

The aim of this program is to enrich companies' offerings, improve their competitiveness and modernize their production apparatus by leveraging the benefits of AI.

The program consists of four main phases:

  1. Awareness-raising and training: This phase aims to raise awareness of the benefits of AI and strengthen companies' skills in this area. Training modules and themed webinars are offered to help companies assess their AI maturity and learn about use cases and available solutions.
  2. Data IA Diagnosis: The aim of this phase is to identify new avenues for growth and evaluate innovation opportunities by exploiting the data generated by the company's activities. Companies are supported in defining the conditions for implementing a breakthrough strategic project.
  3. Choice of AI approach: During this phase, a feasibility study is carried out to select the relevant AI solutions that meet the company's needs. The chosen solution is qualified and an implementation plan is drawn up, assessing risks and impacts.
  4. Experimentation of the AI solution: Finally, companies are supported in the experimentation and operational deployment of the identified AI solution.

The IA Booster France 2030 program is aimed at French SMEs and ETIs in all business sectors, with a workforce of between 10 and 2,000 employees and sales in excess of €250,000. Eligible companies can benefit from partial cost coverage, up to 80% of the cost of the targeted service.

In summary, the IA Booster France 2030 program is a major initiative to support the digital transformation of French companies through the integration of AI solutions. It offers comprehensive support, from awareness-raising and training to the experimentation and deployment of AI solutions tailored to companies' needs.

Support and loan guarantees

The France Relance plan includes several aids for companies wishing to embark on their digital transformation. The France Num initiative has been strengthened as part of France Relance, and includes a loan guarantee. This guarantee makes it easier for VSEs and SMEs to obtain a loan from banks to finance a digital transformation project.

On the place-des-entreprises.gouv.fr website, companies can be put in touch with public or semi-public advisors likely to support them in their digital transformation.

R&D and public funding

For companies wishing to set up research and development (R&D) centers in France, there are a number of public grants available. These grants enable companies to set up or strengthen an R&D center and benefit from available public funding.

 

Want to find out how your company can benefit from the support in place to accelerate AI adoption? Let's talk

AI, the world and France: who's prepared?

AI, the world and France: who's prepared?

Cisco's AI Readiness Index surveyed over 8,000 companies in 30 countries to assess their readiness to adopt and exploit artificial intelligence.

The methodology is based on the analysis of 49 indicators divided into 6 pillars: AI strategy, infrastructure, data, talent, governance and corporate culture. An overall AI readiness score is assigned to each company.On this basis, Cisco has classified companies into 4 categories: Pioneers (fully ready), Hunters (moderately ready), Followers (not very ready) and Laggards (not ready).Key global results
  • Only 14% of companies worldwide are fully prepared to integrate AI.
  • 36% are moderately prepared, 32% have limited preparation and 18% are unprepared.
  • The best-prepared sectors are technology (28% Pioneers), financial services (17%) and professional services (16%).
  • Asia-Pacific leads the way with 20% of Pioneer companies, followed by Europe (12%) and the Americas (10%).

Results in France and Europe

    • Only 8% of European companies are fully prepared to integrate AI.
    • France is lagging behind, with only 4% of companies being "Pioneers", ranking second to last in Europe.
    • The European leaders are Sweden (22%), the UK (10%), Germany and Switzerland (7% each).

Pillar analysis in France

AI strategy

    • 59% of French companies have an AI strategy or are in the process of developing one.

Infrastructure

    • Only 17% of companies have networks that are flexible enough to meet the demands of AI.

Data

    • 21% of French companies have a concrete AI regulation. 53% have a "moderate" regulation.

Talents

    • 87% of companies plan to train or recruit AI specialists in the next 3 years.

Governance

    • 6% of companies are considered "Pioneers" in AI governance.

Corporate culture

    • 18% of companies have a "Pioneering" corporate culture, favorable to AI adoption.

Recommendations

The study highlights the need for French companies :
  • Adopt an AI strategy aligned with business objectives
  • Strengthen network and cloud infrastructures
  • Invest in data and data governance
  • Train teams in AI
  • Establish a culture of innovation and collaboration
  • The stakes are therefore high if we are not to fall behind the technology leaders in the AI race.

    [UPDATE] To find out more, discover our summary of the Artificial Intelligence Commission report

Gorillias Gorillias Assistant