Capgemini Invent

In a world where digital transformation dictates market leadership, staying ahead is crucial for your business’s growth and sustainability. As an accomplished Digital Strategist and New Business Model Expert, I am dedicated to guiding businesses through this complex landscape to achieve extraordinary success.

My Core Expertise: Lead for 'Connected Products & Services & Business Model Transformation':

→ Strategic Development of Data-Driven Products & Service Portfolios: I specialize in developing competitive, customer-centric product and service portfolios that align seamlessly with your overarching business strategies. This includes not only strategic planning but also defining the actual content and structure of these portfolios.

→ Business Model Transformation in Response to Global Trends: Adapting to major market shifts like Everything-as-a-Service, AI-driven business models, and exploring new channels such as virtual platforms and metaverses, I help companies transform their existing business models to capture new customer segments and stay at the forefront of innovation.

→GenAI Advisor for Intelligent Industry

In my role as the GenAI SPOC for Intelligent Industry, I empower organizations in manufacturing, life sciences, and MedTech to leverage the extraordinary capabilities of Generative AI. This role involves exploring new business opportunities and achieving unprecedented levels of productivity and efficiency through cutting-edge AI applications.

▶️ Our Commitment:

More than just strategists, we are your partners in transformation. From the initial strategy to the hands-on implementation of new products and services, our team of strategists, designers, and engineers is committed to turning your vision into a tangible reality.

▶️ Ready to Transform Your Business?

Connect with me to discover how we can collaboratively reinvent your business strategy for a digital-first world, ensuring growth, innovation, and a leading edge in your industry.

Director Connected Portfolio & Business Model Transformation | Federated AI in Intelligent Industry

Exclusible

Are you ready to explore the endless possibilities of the future internet? I am here to help you take the first step and unlock the power of web3 CRM.

Imagine being able to connect with customers and clients in new and exciting ways, using cutting-edge web3 technology and immersing them in a metaverse. That's exactly what Exclusible does. Empowering brands and communities by expanding the possibilities of both the physical and digital universes.

Exclusibles mission is to build a new generation of the web that is culturally relevant, accessible to everyone and unlimited in its possibilities for creation and creativity. With Exclusible, your brand has the opportunity to push the boundaries of the metaverse and web3, and open up a world of endless possibilities.

Don't wait any longer, take the leap and join the future of the internet. Contact me now to learn more about how we can work together and unlock the power of web3 for your business.

Metaverse Leader, Advisor and Ambassador

OpenExO

OpenExO is the world’s leading global ExO transformation ecosystem made up of more than 1,000 clients, investors, consultants, coaches, collaborators, tech leaders, and innovation specialists. Together we are committed to helping organizations, institutions, and people transform the world for an exponentially better future by implementing and evolving the ExO model and practices.

ExO Certified Consultant

ExO Foundations

STRATEGYON 

𝗦𝗧𝗥𝗔𝗧𝗘𝗚𝗬𝗢𝗡 𝗖𝗢𝗥𝗘 builds on the most advanced AI-enabled context-mining platform for reliable strategic insights.

𝗦𝗧𝗥𝗔𝗧𝗘𝗚𝗬𝗢𝗡 𝗖𝗢𝗥𝗘 services transform unstructured data into quantified and groundbreaking insights and build a foundation for fact-based, strategic decision-making in your strategy and M&A activities. 

Unsupervised AI-driven context mining leads to unbiased discovery and insights for trustworthy strategic decisions. 

▶️ Cross-industry research for technology mapping
▶️ Gaining hidden consumer insights from public forums
▶️ Anticipating significant shifts: future scenario building

Quantifying insights are a solid basis for masterful decision taking. Our innovative metrics and visualizations help to efficiently discover emerging topics, non-trivial correlations, and to compare trends. 

Reliable quantified insights are what really matter.

▶️ Weak signal detection
▶️ Visualize patterns in tailor-made heat maps
▶️ Discover hidden correlations

𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗺𝗮𝗽𝗽𝗶𝗻𝗴:
Technologies evolve at the speed of light. It is vital to discover new technologies and understand the dynamics and drivers to stay ahead of the competition.

𝗠𝗮𝗿𝗸𝗲𝘁 𝗲𝘅𝗽𝗹𝗼𝗿𝗮𝘁𝗶𝗼𝗻:
Identifying new applications and markets is a vital – yet complex – exercise to grow your business. However, many hints are to be discovered in the growing amount of technical and public data. Scout for new markets and playing fields in technical literature. Understand your customers: reveal their hidden needs from context-mining public forums. 

𝗙𝘂𝘁𝘂𝗿𝗲 𝘀𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴:
The plurality of trends doesn’t exactly make it easier to decide on the next big shift for your company. Being able to identify, understand and quantify them helps to build reliable future scenarios and make the right decisions.

Co-Founder / Head of Strategy 

AdEx Partners

I am driving digital projects and transformations with impact for Fortune 500 and mid-market companies, helping teams and organizations to become future-ready.

✓ Designing and building digital units with a purpose to drive innovation.
✓ Executing digital strategy with tangible MVP projects that deliver (AI/ML/Crypto)
✓ Re-shaping business models and co-designing new opportunities. 
✓ Leading and managing the strategy execution with objectives and key results (OKR). 
✓ Defining and shaping organizational culture towards purpose-driven outcomes.

Senior Manager Digital Strategy & Business Model Innovation

Digital Strategy & Transformation

Ernst and Young (EY) is one of the largest professional services firm in the world and one of the "Big Four" accounting firms. EY is committed to building a better working world — with increased trust and confidence in business, sustainable growth, development of talent in all its forms, and greater collaboration. 

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As the Manager of People Advisory Services, I enable companies to successfully survive digital disruption and transform their core business towards customer-oriented platform models. Preparing and guiding companies on their journey to build the future of work is part of my passion. My responsibilities include leading teams and driving people strategy topics in global business solution services implementation. This includes applying agile methodology like Design Thinking and Business Model Canvas techniques. 

Driving digital strategy and transformation requires a focus on people capabilities, organizational design and technology. Translating technological development into strategic solutions is necessary for every organization to survive disruption and stay relevant in the digital era. The future of work is shaped by data-driven solutions, robotics and AI, assisting people in every day’s tasks. 

I believe that my organizational and people skills along with my passion for this work make a real difference for my clients.

Manager, Digital Strategy ✦ Transformation and Change ✦ People Advisory Services

Fresenius Group

Fresenius, a German health care company, includes the Fresenius Medical Group as one of its four divisions. Fresenius  provides products and services for dialysis in hospitals and outpatient medical centers. The company also focuses on hospital management as well as on engineering and services for medical centers and other health care facilities.  

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As Manager of Strategic Initiatives, I supported the CEO of the European, Middle East and Africa (EMEA) division in the design of strategic transformation processes. This requires translation of the CEO’s agenda into business initiatives and working collaboratively with senior executives to assess their needs and define specific projects. 

The focus of  my work was around the digital transformation of Fresenius Medical Care and its business, co-designing strategy roadmaps, building organizational structure and creating awareness for the requirements to succeed in the 4.0 economy.  

By consolidating insights, leveraging the gathered data and developing best practices, I led the development of strategic options and ensured success of the overall digital initiative.

Initially, I joined Fresenius as a Change Manager for EMEA regions and Communications Officer for the inSITE Project. This project enabled FME to become process-driven, connecting all parts of the organization in the EMEA and Latin America (LA) regions.  Through remote and on-site coaching, I enabled the rollout in 5 countries and positioned 5 others for final transition from a people and organizational perspective. 

The common SAP template delivered harmonized processes and standardized applications based on the demands of the business, while respecting the specific local requirements of each country.

Manager of Strategic Initiatives ✦  Digital Strategist ✦ Change Manager 

University of St. Gallen - HSG

The University of St. Gallen is a research university located in St. Gallen, Switzerland. Established in 1898, it is specialized in the fields of business administration, economics, law, and international affairs.  It is ranked by the Financial Times as one of the top business schools in Europe.

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As the Head of the Military Liaison Office, I improved alignment between the University and the external duties of military personnel. By analyzing existing department activities and documentation, I advised administration and external stakeholders on students evolving needs and obligations. By addressing the unmet needs of the University and students, I effectively reorganized military liaison activities. This work led to harmonized military liaison office processes and IT solutions that conformed to campus standards.  I also facilitated the smooth transition to successive liaisons by creating a support and guidance handbook. 

In addition, I contributed to the development of the Master of Management, Organization Studies and Cultural Theory (MOK) program at the Institute for Systemic Management and Public Governance. In this role, responsibilities include; synthesizing the needs and perspectives of two distinct academic departments, supporting the program director, managing  stakeholder communications, evaluating applications and selected candidates, planning and executing workshops. organizing business partner meetings, preparing course materials and supervising examinations. 

To stimulate interest in new graduate programs for prospects with a passion for impacting organizations, politics and society, I organized and engaged in off-campus programs activities.

My task as a Research Assistant was to perform analysis and visualization of study results for senior researchers.

Head of Military Liaison Office ✦ Research Associate and Program Manager ✦ Research Assistant 

University of Zurich

As the largest university in Switzerland, UZH offers the widest range of subjects and courses of any Swiss higher education institution.

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As a Research Associate, I designed and launched a two-semester talent management program with workshops, seminars, real-world cases and hands-on training. I built relationships with external consulting firms, who worked as experienced consultants and program instructors.  My responsibilities included: teaching undergraduate courses in organization theory, consulting, conducting presentations and supervising students’ final theses. My independent research focused on strategy-as-practice, organizational theory, strategic management and systems theory.

I am especially proud of the following accomplishments:

✓ Recruited the Boston Consulting Group to act as founding member of new talent program and 
    provide funding for campus meeting space

✓ Expanded partner network to include McKinsey, Accenture, AT Kearney and Roland Berger

Research Associate ✦ Program Designer ✦ Organization Theory Educator

European Business School (EBS)

EBS Business School, as part of EBS University, is one of the leading business schools in Germany. In addition to first-class degree programs, EBS has a worldwide network of renowned partner universities and excellent contacts with reputable companies and law firms.

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As a Research Associate at EBS, I worked as a teacher for organizational change and an assistant for event organization and coordination.

Research Associate ✦ Change Management Educator

AI Strategy Pioneer & Innovation Catalyst | Transforming businesses with AI-driven strategies and digital innovation

Pioneering the AI Revolution & Digital Transformation

Over the last decade, I've guided organizations through the AI revolution and digital transformation, unlocking unprecedented growth.

My mission: Empower hundreds of  businesses with cutting-edge AI and digital strategies.

AI & GenAI Expertise:
→ Developed GenAI solutions for smart industries, boosting productivity by 40%+
→ Crafted AI strategies for Fortune 500 companies, driving innovation
→ Advisor on ethical AI implementation and governance

Digital Transformation Mastery:
→ Led dozens of successful digital transformation projects across industries
→ Transformed traditional business models into data-driven powerhouses
→ Expert in leveraging IoT, Blockchain, and Cloud for business growth

Key Capabilities:
→ AI Strategy Development & Playbooks
→ GenAI Implementation for Industry 4.0 and Lifescience 
→ Digital Transformation Roadmapping
→ Emerging Tech Integration (AR/VR, Metaverse)
→ Digital Leadership Mentoring

Impact Highlights:
→ Reduced operational costs by 30% through AI-driven solutions
→ Increased productivity up to 50% with data-driven tools
→ Built a community of 28,000+ digital leaders and innovators

Ready to harness the power of AI and digital transformation?

Drop me a message!

The iPhone 16: Apple's Trojan Horse for AI Domination.

It's a game-changer, but not in a good way.

A controversial take. 


→ AI-Powered Features:

Apple Intelligence is the star. 

It promises to make your life easier with AI-driven photo editing, productivity tools, and a more advanced voice assistant. 

👉 But there's a catch. 

This AI isn't just smart; it could be smarter than you. Apple is diving deep into AI, competing with Google and OpenAI, but at what cost to your privacy?


→ Privacy Concerns:

Apple claims its AI features are "private and secure," using "Private Cloud Compute." 

👉 Don't be fooled. 

Your data is still being processed and analyzed by algorithms you can't see. Independent verification is just a band-aid on a bullet wound of privacy concerns.


→ User Autonomy:

The iPhone 16 changes how we interact with technology. 

AI is taking over decision-making. 

👉 Do we want our phones deciding how our photos should look or what tasks we should prioritize? 

This isn't just about convenience; it's about control.


→ Nostalgic Design:

The new vertical camera arrangement is a nod to the iPhone X. 

👉 But it's more than that. 

It's a symbol of Apple's regression to a time when it dictated tech trends rather than responding to user needs.


→ Price Tags:

Starting at $799 for the base model and going up to $1,199 for the Pro Max, Apple isn't just selling phones. 

They're selling AI-powered status symbols and you are the product. 


→ Staggered Release:

Apple Intelligence will roll out a month after launch, only in the US. 

The EU is deemed to be too risky at this point. 

Creating 2nd class Apple users. 

This staggered release isn't about perfecting the technology. It's about testing the waters, seeing how much control users are willing to cede to their devices.



Before:
👉 I used to think Apple was all about user control and simplicity.
👉 I felt secure knowing my data was private.
👉 I believed my phone was a tool to help me, not control me.


Now:
👉 I see Apple diving headfirst into AI with unclear intentions. 
👉 I worry about my privacy and autonomy.
👉 I question if my phone is still a tool or if I'm becoming a tool for AI.

The iPhone 16 isn't just a phone. 

It's a Trojan horse. 

It's bringing AI into every aspect of our lives under the guise of convenience and innovation. 

We lack control. 

As we rush to embrace these "smart" features, we must ask ourselves: at what point does our technology stop serving us and start controlling us?

Apple has crossed a line with the iPhone 16. 

👉 It's no longer about creating tools for users; it's about creating users for their AI. 

The question isn't whether you'll like your new iPhone – it's whether your new iPhone will like you.

Bora Ger

AI Safety or Snake Oil?

$1 billion dollars. One startup. One controversial figure.

It’s a high-stakes bet that could reshape the future of AI.

Break down the hype today.
Use these key points to understand the gamble:

1. The Golden Boy's Fall from Grace
↳ Ilya Sutskever, once a top AI scientist, left OpenAI under controversy.
↳ Now, he’s back with a new startup, Safe Superintelligence (SSI).

2. A Billion-Dollar Leap of Faith
↳ SSI jumped to a $5 billion valuation in just three months.
↳ Investors are betting on Sutskever’s reputation, not on concrete products.

3. The Hypocrisy of "Safe" AI
↳ Sutskever once pushed for rapid AI development at OpenAI.
↳ Now he claims to champion AI safety. Is it genuine or just rebranding?

4. The Secrecy Contradiction
↳ SSI’s work is shrouded in secrecy.
↳ True AI safety needs open collaboration. What are they hiding?

5. A Tale of Two Cities: Palo Alto and Tel Aviv
↳ SSI operates in both cities.
↳ Is it for diverse talent or to dodge accountability?

6. The AI Arms Race Continues
↳ SSI’s funding intensifies the AI arms race.
↳ The pressure to deliver could overshadow safety concerns.

Conclusion: A Risky Bet on an Uncertain Future
↳ Safe superintelligent AI sounds great, but reality is complex.
↳ SSI’s rise is fueled by hype and fear, not tangible results.

Safe superintelligent AI sounds great, but reality is complex.

SSI's rise and valuation are based more on hype than results. As the AI industry grapples with ethical concerns, one thing is certain: the stakes have never been higher, and the world is watching.

The pursuit of "safe" AI is crucial, but SSI's approach raises red flags.

While absolute safety is unattainable, transparency and collaboration are essential for meaningful progress.

However, recent history shows that attempts to make AI safer often clash with government demands for data access and individual surveillance.

This creates a dangerous paradox:

▶️ How can we develop truly "safe" AI in an environment that prioritizes control over privacy?

SSI's secrecy and massive funding may inadvertently worsen this dilemma.

The real challenge isn't just creating safe AI, but doing so while preserving individual freedoms.

Can SSI navigate this minefield, or will their efforts ultimately undermine the very safety they claim to champion?

Thierry Breton has resigned.

Here's what we know about the situation:

1. The Resignation

- Breton accused von der Leyen of questionable governance.
- Breton claims von der Leyen tried to block his reappointment.
- France was asked to withdraw Breton's candidacy.

2. The Clash

- Breton was nominated by French President Macron.
- von der Leyen proposed a political trade-off for France.
- The clash adds to the turmoil in forming the new leadership team.

3. Breton's Legacy

- Known for his stance against digital platform abuses.
- He pushed for the Digital Markets Act.
- No evidence suggests Breton's actions affected DMA conclusions.

4. Leadership Concerns

- Breton's resignation letter criticizes von der Leyen's leadership.
- He believes her style lacks transparency.
- The resignation could amplify scrutiny over von der Leyen's leadership.

That's the basics.

It's important to note that Breton's departure was not solely due to his stance on civil liberties and freedom of speech.

His resignation reflects a complex interplay of political dynamics within the EU's leadership structure.

While his aggressive approach towards tech regulation made him a controversial figure, it also put him at odds with powerful political actors on the European stage.

As we assess the implications of this shake-up, it remains unclear whether this change will benefit innovation, AI development, and economic growth in Europe.

👉 When the dust settles, we'll gain a clearer picture of the EU's future direction.

Hopefully, key decision-makers have taken to heart the criticisms raised by figures like Mario Draghi regarding the need for a more balanced approach to regulation and innovation.

Apple's AI Strategy Unveiled:

1. Partnering with OpenAI for ChatGPT
2. Exploring options with Google and Anthropic
3. Developing in-house AI models

Apple’s approach to AI is multi-faceted. 

→ They are not relying on a single provider.

Here’s a breakdown of Apple’s AI moves:

1 - OpenAI Partnership: Apple has teamed up with OpenAI to integrate ChatGPT technology into its systems.

2 - Exploring Multiple Options: Apple is in talks with various AI companies, including Google for Gemini and Anthropic for Claude.

3 - Flexibility in Partnerships: Apple’s strategy involves partnering with multiple AI providers rather than relying on a single company.

4 - Internal Focus: Apple is developing smaller AI models in-house while relying on partnerships for more complex AI tasks.

5 - Apple Intelligence: The company is rebranding its AI efforts as "Apple Intelligence," with plans to enhance Siri and other services.

6 - No Exclusive Deal: There’s no indication that Apple has committed to using Claude exclusively for Siri.

7 - Ongoing Negotiations: Talks between Apple and Anthropic are still in progress, with no finalized agreement reported.

8 - Competitive Landscape: Apple is evaluating different AI models and may choose to work with multiple providers based on performance and specific use cases.

9 - Future Release: Any significant AI enhancements to Siri, including potential integration with Claude or other AI models, are likely to be part of future iOS updates.

10 - Regional Differences: The rollout of new AI features may vary by region, with European users potentially experiencing delays due to regulatory considerations.

Apple is playing the AI game smartly. 

They are keeping their options open and may integrate multiple AI technologies to enhance their services. 

This strategy allows Apple to stay flexible and competitive in the rapidly evolving AI landscape.

What is your view on Apple's AI strategy?

Is this the death of AI in Europe?

The EU AI Act is a game-changer for AI regulation and innovation.

Here's why it matters:


→ Unified Framework:

The AI Act creates a unified framework across the EU.
This means clear requirements for AI developers and less red tape for businesses.

→ Risk-Based Regulation:

The Act uses a risk-based approach to classify AI systems:

👉 Minimal Risk: No obligations but voluntary codes of conduct encouraged.
👉 Specific Transparency Risk:Systems like chatbots must disclose their AI nature.
👉 High Risk: Strict rules for AI in critical areas like healthcare and law enforcement.
👉 Unacceptable Risk: Bans on harmful AI applications like social scoring.


→ Safe AI Leadership:

The EU aims to lead in safe AI development. This includes:

👉 Healthcare: Better diagnostic tools and personalized treatments.
👉 Transportation: Safer and greener mobility solutions.
👉 Public Services: More efficient government services.
👉 Business: Boosted productivity and innovation.
👉 Energy and Sustainability: Efficient resource management.


→ Innovation vs. Regulation:

The AI Act's impact on innovation has both pros and cons:

**Benefits:**
 -  Trust and Adoption: Clear guidelines can build public trust in AI.
 -  Competitive Advantage: EU companies that adapt quickly may lead globally.
 -  Attracting Talent: Ethical focus could draw top talent.

**Drawbacks:**
 -  Regulatory Burden: High costs and compliance challenges for smaller firms.
 -  Slower Time-to-Market: Extensive testing and certification slow down new AI tech.
 - Global Competitiveness: Risk of falling behind less regulated markets.
 -  Ambiguity in Classification: Uncertainty in classifying emerging AI applications.


→ The Road Ahead:

The success of the AI Act will depend on balancing protection with innovation.

The EU's consultation on a Code of Practice for general-purpose AI models shows its commitment to refining the approach.

The world is watching.

The EU's framework could become a global blueprint. But will it lead in ethical AI or fall behind less regulated competitors?

Again Its success will depend on protecting citizens' rights while fostering innovation.

The coming years will reveal if this approach will set a new standard for AI governance or hinder the EU's competitive edge.

Are you ready?

Aleph Alpha is out of the LLM game. 

They are stepping away from large language models.

Instead, they focus on Pharia AI.


Aleph Alpha, once a potential rival to OpenAI, has made a strategic pivot. 

They are no longer developing large language models (LLMs). 

This decision comes after raising over $500 million in funding last year.

Now, they concentrate on Pharia AI. This is an "operating system for generative AI" targeting business and government clients. This shift allows them to grow without the heavy costs of maintaining cutting-edge AI models.

### Reasons for the Shift ### 

1. **Market Changes**: CEO Jonas Andrulis points to changing market conditions.

2. **Tough Competition**: Big tech giants dominate AI development, making it hard for smaller companies.

3. **Financial Considerations**: High costs of developing large AI models are unsustainable without major cash flow or government support.


### Industry Implications ###

Aleph Alpha's move reflects a broader trend in the AI industry. 

Many companies struggle with the immense costs of developing large models.

They are also focusing on regulatory compliance. 

They aim to develop AI systems that meet European regulations like GDPR and the upcoming EU AI Act.

The LLM market is highly competitive and not yet profitable. 

AI models worth millions can become outdated quickly.



### Conclusion ###

Aleph Alpha's exit from the LLM race marks a strategic realignment. 

They aim to carve out a niche by focusing on specialized AI solutions and regulatory compliance. 

This shift highlights the challenges faced by AI startups in competing with tech giants and underscores the importance of adaptability in the ever-changing field of artificial intelligence.

How do you feel about this?

Volkswagen's IDA voice assistant finally gets an overdue upgrade. ChatGPT integration is a step forward, but is it enough? Let's break it down:


→ Hands-free control? Basic functionality, but hardly groundbreaking.
Voice commands for navigation and climate control are industry standard now.

→ Complex queries? Playing catch-up.
Competitors have offered advanced query capabilities for years. We're late to the party.

→ Privacy? Bare minimum. Anonymous interactions and session data deletion should be a given, not a selling point.

→ Activation? Nothing new. 'Hello IDA' or steering wheel button - we're not innovating here.

→ Availability? Severely limited and delayed.

Starting September 6, 2024, but only in select 2025 Jetta and Jetta GLI models, and MY24 ID.4 vehicles with an 82-kWh battery. Why so restricted?

→ Subscription? Confusing and potentially costly.

Varying inclusion periods across models. Additional purchases required for some vehicles. This fragmented approach may alienate customers.


This isn't just about tech - it's about playing a desperate game of catch-up.

Volkswagen is barely keeping pace, let alone setting new standards in automotive AI.

We need to do more, much more, to beat the competition:

👉 Broader implementation across all models, immediately.
👉 More innovative features that go beyond basic voice commands.
👉 Seamless integration without confusing subscription models.
👉 Cutting-edge AI that truly transforms the driving experience, not just mimics existing tech.

Let's face it.

We're not ahead here.

We're trailing.

It's time to innovate, not imitate.

Drive smarter? Sure.

But first, we need to think smarter and move faster.

Wake up, Europe. It's time to get real.

The EU's tech policies are killing our future.

Mario Draghi's report is a five-alarm fire.

— GDPR isn't protecting privacy
— Small companies are bleeding profits
— Big tech monopolies are thriving
— The EU AI Act is stifling innovation
— China and the US are racing ahead
— EU moves with the speed of a sloth
— Recommendations vanish into the abyss
— Germany needs to lead or step aside

A thriving tech ecosystem looks like this:

— Policies that fuel growth
— Innovation is sparked
— Entrepreneurship is ignited
— Small companies can compete
— Bureaucracy is minimized
— Ideas turn into breakthroughs
— Europe becomes a tech powerhouse

Europe, it's time to decide:

☑ Do we want to be a museum of past innovations?
☑ Or a powerhouse of future breakthroughs?

The clock is ticking. 

Let's turn this ship around. 

Unleash our innovators. 

The future of European tech depends on it.

Happy weekend!

I've seen AI transform businesses.

AI's biggest value for your business lies in automation, enhanced data analytics, and improved decision-making.

Here’s how AI can revolutionize your operations:


1) AI Automation

• Automate repetitive tasks like checking emails, inputting data, and generating reports.

• Save time, boost productivity, and reduce human error.

• Engage your team by allowing them to focus on meaningful work.

A 2024 survey by Duke University and the Federal Reserve Banks found that 40% of businesses used AI tools to automate tasks in the past year, and 54% plan to do so in the next year.


2) Enhanced Data Analytics

• AI and machine learning analyze vast amounts of data quickly.

• Identify patterns and trends that humans might miss.

• Predict outcomes based on historical data.

Research from Wavestone shows that 62% of senior data leaders prioritize generative AI, with nearly 90% increasing investment in 2024. AI can predict customer churn, flag fraud, and project revenue trends.


3) Improved Decision-Making

• Use AI insights to identify new business opportunities.

• Flag operational roadblocks and personalize offerings.

• Prepare for potential challenges.

Airlines use predictive AI to optimize ticket prices by analyzing demand patterns, consumer behavior, and competition in real-time.


AI offers significant benefits, but human expertise is essential to ensure accuracy and credibility. 

Embrace AI to transform your business functions and stay ahead in the competitive landscape.

Your car is about to join the conversation of the century:

This cheat sheet will help you understand V2X technology.



Welcome to V2X. 
Where vehicles communicate, cooperate, and revolutionize the road.


1. Vehicle-to-Vehicle (V2V)

Cars exchange data on speed, location, and direction in real-time.


2. Vehicle-to-Infrastructure (V2I)

Vehicles communicate with traffic lights, road signs, and other connected infrastructure.


3. Vehicle-to-Pedestrian (V2P)

Detects and communicates with pedestrians and cyclists.


4. Vehicle-to-Network (V2N)

Connects vehicles to broader cellular networks for traffic updates.


These components use sensors, cameras, and wireless tech like 5G and LTE.

💡 Benefits of V2X Technology

V2X technology offers many advantages for road safety and traffic management. The U.S. National Highway Traffic Safety Administration predicts a 13% reduction in traffic accidents with V2V systems, potentially preventing up to 439,000 crashes annually. 

V2X also enhances traffic efficiency by optimizing routes based on real-time data, reducing congestion and fuel consumption. It supports autonomous vehicle development by providing a comprehensive understanding of the environment, enabling quicker and more accurate decision-making.

❗️Challenges in V2X Deployment

Several hurdles exist for widespread V2X adoption. Standardization across different manufacturers and vehicle models is needed. 

Many V2X systems currently work only between vehicles from the same manufacturer. Ensuring secure and reliable communication is crucial, as the system's success depends on data integrity and privacy. 


🚀 Future Prospects of V2X

Advancements in 5G technology will significantly boost V2X capabilities. Experts predict that 90% of American mobile connections will be through 5G by 2030. 

This will enable faster and more reliable data exchange, supporting advanced features like remote diagnostics and over-the-air updates. The U.S. Department of Transportation plans to accelerate V2X deployment, aiming for V2X infrastructure on 20% of the National Highway System and V2X-enabled signalized intersections in 25% of the nation's largest metro areas by 2028. 

These initiatives are paving the way for a more connected and intelligent transportation ecosystem.

Use this guide.
Understand V2X.
Welcome to the future of transportation.

Gen AI is reshaping the skills landscape. But are leaders truly prepared?

How to navigate the AI-driven talent transformation in 3 key steps:

1. Understand the impact
→ Gen AI affects every phase of product development
→ Content-heavy tasks see 2x more positive impact

2. Develop new skills
For engineers:
↳ Shift from coder to advanced code reviewer
↳ Master integration of multiple AI agents
↳ Enhance "upstream skills" like user story writing

For product managers:
↳ Become proficient with low-code/no-code tools
↳ Develop strong empathy to address AI trust issues
↳ Work closely with risk experts

3. Transform talent management
→ Move beyond integrating AI into existing programs
→ Focus on strategic workforce planning
→ Build robust apprenticeship capabilities

The old HR playbook won't cut it anymore. It's time for a skills-first approach to talent...

Are you ready to lead this change?

PS: How will you prepare your team for the AI skills revolution?

Friendly reminder: implementing AI in your business is easier than you think.

Here are 7 essential steps for successful AI implementation:

1. Clearly Define Your Goals and Objectives.
2. Identify the Right Data Sources.
3. Choose the Right AI Tools and Technologies.
4. Develop a Strong Data Strategy.
5. Invest in Training and Education.
6. Start Small and Scale Up.
7. Track Performance and Make Adjustments.

Clearly define what you want to achieve with AI. 
This helps in setting the right direction.

Identify the data you need. 
Good data is the backbone of AI.

Choose the right tools. 
Not all AI tools are the same.

Develop a strong data strategy. 
This ensures you use data effectively. 

Invest in training. 
Your team needs to understand AI. 

Start small. 
Test AI on a small scale first.

Track and adjust. 
Keep an eye on AI performance and tweak it as needed.

Those steps atr not optional.
Ignore the one ot the other and you will stall your efforts alltogether.  

By following these steps, AI can transform your business.

Everyone makes mistakes.

But here's the good news:

Mistakes present an incredible opportunity to learn and grow.


Anthropic's bold move towards AI transparency is a game-changer.

By publishing Claude's system prompts, Anthropic has taken a significant leap forward in the realm of AI transparency and accountability.

This unprecedented release offers valuable insights into the inner workings of Claude, a cutting-edge language model:

- Detailed instructions for handling various tasks
- Guidelines for maintaining objectivity on controversial topics
- Specific behavioral directives to shape interactions

Role prompting emerges as a key feature:

- Allowing Claude to function as a domain expert in different scenarios
- Enhancing performance, accuracy, and tailoring tone to suit various contexts

Behavioral guidelines aim to create a more nuanced and thoughtful conversational AI experience:

- Avoiding certain phrases
- Handling controversial topics with impartiality

As AI continues to advance and integrate into our daily lives and businesses, transparency and understanding of these models become crucial.

Anthropic's move sets a new standard for the industry, paving the way for more responsible and trustworthy AI development.

👉 How will this impact your AI strategy and adoption?

Taplio

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