Andreas Welsch

Andreas Welsch is an internationally recognized top 10 Agentic AI leader and one of today’s most sought-after thought leaders and keynote speakers for business and technology audiences. With over two decades of global leadership experience, previously as Vice President at SAP, Andreas has helped Fortune 500 companies cut through AI hype to deliver measurable business outcomes.

He is the Founder and Chief Human Agentic AI Officer of AI consulting firm Intelligence Briefing, the best-selling author of the AI Leadership Handbook and The HUMAN Agentic AI Edge, and a leading voice on AI strategy, adoption, and transformation. 

At the heart of Andreas’s work lies a clear value proposition: he helps business leaders understand how to apply AI responsibly, effectively, and profitably by addressing the questions that decision-makers face:

• How do we turn AI into business value, not just experimentation?
• How can we prepare our workforce for AI-driven transformation?
• How can we empower our teams to use AI without creating AI workslop?
• What practical steps can we take to avoid ethical, operational, or financial pitfalls?

Andreas’s keynotes and workshops are known for their clarity, strategic relevance, and deep insight. Drawing from more than two decades in the software industry, he offers real-world frameworks and practical steps tailored to leadership audiences. He introduces leaders to AI agents, leading hybrid teams of humans and AI, and AI-driven business models, explaining not only what’s next, but what matters most and why.

During his tenure at SAP, Andreas accelerated the integration of AI across enterprise applications and positioned SAP as an AI leader. He brings first-hand experience and a global perspective to every business and has been named a LinkedIn Top Voice, Thinkers360's Top 10 Thought Leader in AI, Generative AI, and Agentic AI, The Futurum Group's Top 14 AI Influencer, PEX Network’s Top 30 AI Leader, and SwissCognitive’s Top 50 Global AI Ambassador.

His work has appeared in CIO.com, VentureBeat, InformationWeek, and the American Management Association. He serves on the Editorial Board of the Journal of AI, Robotics and Workplace Automation and as an adjunct professor at West Chester University of Pennsylvania.

For leaders looking for clarity, action, and strategy, Andreas delivers a transformative experience beyond the hype. Follow his “What’s the BUZZ?” podcast and newsletter, “The AI MEMO”, and work with Andreas to turn hype into outcome for your business.

Vice President & Head of Marketing & Solution Management — Artificial Intelligence

Defined GTM and product marketing for Artificial Intelligence (AI) across SAP’s product portfolio, incl. AI Business Services on SAP Business Technology Platform in the context of embedded AI capabilities and intelligent process automation via Robotic Process Automation (RPA) and low-code/ no-code offering. Led global team of product marketers and solution managers

“Is your hand getting tired?” attendees asked.
“You should have a stamp,” others joked. 
But that would circumvent the HUMAN aspect and authenticity. 

For two hours straight, attendees waited in line to receive their signed copy of The HUMAN Agentic AI Edge on launch day yesterday.

I signed each one of the 300 books with:
Stay HUMAN. 
Get AI-Ready.

Sounds great, doesn’t it? But it was the little chats here and there, the feedback on my closing keynote, and talking about the good old days with former colleagues, that added the HUMAN touch.


If you haven’t gotten your copy yet, you can get it on Amazon for a 90% launch discount!


A special shout-out to Paul Kurchina, the mastermind behind the annual “Next Generation SAP Enterprise Architect Community Learning Forum,” master connector, and extraordinary supporter!

#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

I signed 300 books at the big launch this week, but this interaction made an impression on me:

Jade was running the bar and serving customers. When the book line was short, she came over, and I signed a copy for her. She asked about my self-publishing process and mentioned that she has published three books on Amazon. As I was breaking down the banners and stowed them away at the end of the event, Jade came over again. 

“Can I say something?” she asked. 

I was curious, but wasn’t quite sure what was on her mind. 

“Successful people need to hear this, too: I am proud of you!”

I didn’t expect to hear these words.

A dozen thoughts rushed through my head: 
How nice of her to come over to say that. Successful? Proud of ME?

All I could think to say was: “Thank you so much.”

But I’ve been thinking about that interaction and her words for the rest of the week.


Let’s all be a little more like Jade, and be a little more HUMAN. 


PS: Read or listen to the best-selling The HUMAN Agentic AI Edge on Amazon or Spotify.

#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

📘 NOW AVAILABLE: The HUMAN Agentic AI Edge! 
When AI becomes the next “easy button,” leaders need to set expectations with their teams early. 

Otherwise, low-quality, sloppy results creep in, and performance, skills, and reputation degrade.

Between the triad of standards, guardrails, and readiness lies the real work that leaders need to do now, beyond “giving everyone Copilot etc.”

Let’s face it: team members are not off the hook doing their best work. They never were.

Like a senior manager recently shared with me: “Now, I’m getting all these meeting summaries and action items from my team members. I don’t have time to go through all of them.”

Creating is easy. Filtering and prioritizing are the new bottleneck for most leaders.

In the book, you will find the frameworks, anecdotes, and examples that help you empower and encourage your team to use AI responsibly while remaining accountable and high-performing.


Today is the official book launch together with 500 IT leaders at the Next Generation SAP Enterprise Architect Community Learning Forum—keynote and book signing included.


In case you are not on-site, you can get your copy on Amazon for the special launch offer!


Stay HUMAN. Become AI-ready.

And celebrate the big launch with me!

#ArtificialIntelligence #AgenticAI #Leadership

How do you measure the success of a launch?
Whatever your answer, launch day is intense. 
Whatever your product or service, you prep and prep, and prep…and hope for the best. 

Once the launch is on, market reception and feedback are largely out of your hands.

What applies to software and category launches applies to book launches, too. 

On Wednesday, I was checking the category rankings to see how The HUMAN Agentic AI Edge was moving up in the three categories I selected for the launch. 

But it wasn’t. 

It sat at rank #76 all morning and afternoon.
I was getting nervous. Had I missed to activate even more parts of my network? Was everyone just too busy during the day (or had forgotten about buying the book)?

Was the number of sales not enough to make even a slight dent?

Then, one of my friends texted me. 
“Your book is #3 in the charts!”

I was relieved. At least a little. Viewing the category instead of the book showed the correct ranking. But the question of how many more sales I’d need to make it to #1 was nagging. You just don’t know. 

At dinner, we celebrated the launch together with the other speakers of the Next Generation SAP Enterprise Architect Community Learning Forum. 

By then, the book had moved to #2. Soooo close. So close. 

4 minutes past midnight, it hit the top spot in the “Hot Releases” list on Amazon in Germany—just not in a category. 

I decided to go to sleep and check whenever I’d wake up. #2 wasn’t so bad for launch day. But would other books overtake it tomorrow?

I briefly woke up just before 4am and grabbed my phone. Had anything changed in the past 4 hours??

Yes, it had! #1 in Management Skills…a best-seller!! Satisfaction. Screenshot. Sleep. In that order.

Since then, it has hit #1 in all three categories!
A super successful launch. 


But it’s one of these things that you can’t do alone. Thank you so much for your support and readership! I’m deeply grateful!


(Don’t miss to get the launch promo of $0.99 for the ebook for the next 24 hours: https://lnkd.in/dcKY6biC)


Next up: Keynotes, workshops, and podcasts!

#ArtificialIntelligence #AgenticAI #Leadership

During the launch of The HUMAN Agentic AI Edge, 300 attendees waited in line to get their signed copy. Here’s how quickly 3 hours went by…

In each book, I wrote:

Stay HUMAN. 
Get AI-Ready.

Because in order to become an AI-first business, your team needs to get AI-ready…first.


Since then, many attendees have reached out, and I even met a few IRL this week!

Thank you for the awesome feedback and reviews. If you’ve received or bought a copy, please consider leaving your feedback on Amazon. 

Empowering and encouraging team members to use AI without creating slop is the task of the hour. 

I’m curious: How much AI slop do you receive per day? And what would it take to stop it?

#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

Earlier this week, we had a special pre-launch book signing for members of the Chief Architect Network (CAN) that Grant Ecker leads.

Grant and the CAN community connect Chief Architects and senior IT executives to discuss and learn about new topics (such as Agentic AI) and how IT organizations can both prepare themselves and implement these technologies. Since 2021, the community has grown to over 620 members globally.

I’ve been following Grant on LinkedIn for a few years now. So, I was super excited when we first hosted our first event together in December, and when we finally got to meet in person this week.

When AI-generated news and the AI hype make it harder to discern what's real and what's actually working, being part of a community of trusted, human leaders and experts is the way to go.

So here’s a special Friday shout-out Grant and the network!
Give him a follow and maybe we'll see each other at a future event, too.


Love the red tumbler, btw. It goes so well with The HUMAN Agentic AI Edge and the launch-week promo of a symbolic Dollar (or Euro) over on Amazon.


Happy Friday, everyone!


#ArtificialIntelligence #Leadership #Community

“I hadn’t thought about agents as digital employees, yet,” shared a leader with me after attending yesterday workshop, “but it makes sense!”

Let’s get this out of the way for context:
- Approaching agents as digital employees is a helpful metaphor as you define guidelines, guardrails, add processes, but…
- They are still “just software” when it comes to the accountability for their decisions incl legal or ethical aspects (accountability stays with you)

I call it the “Dual-Lens Principle.”

Another attendee rightfully asked who creates the majority of agents in a business today?—IT. 

HR is not at the table. Yet, it’s a major workforce shift and HR can contribute wit that experience. Job descriptions, codes of conduct, rewards, org charts included. IT and HR need to collaborate.

That’s a central point in The HUMAN Agentic AI Edge which participants learned about. Tomorrow is the official book launch, which means you can learn about it, too!


How do you view AI agents?—As digital employees or just another piece of software?


#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

The HUMAN Agentic AI Edge was just covered on Forbes!! Coverage includes the 6 dimensions of the Operating Model you will find in the book.  

When work is no longer a matter of effort, purpose moves into focus.

When AI generates outcomes on par with human results, quality and delivery speed become the differentiating factors.

Ultimately, the question is how you define your value at work when AI can eventually do more tasks that humans do.

The key lies in elevating what makes us unique.
And that’s a core role any leader needs to play. 

How do you define your value at work?


Thank you, Joe McKendrick, for covering a key message of the book in this article!

Don’t miss to get your copy of the best-selling ebook, paperback, or audiobook wherever you get your books!

#ArtificialIntelligence #AgenticAi #IntelligenceBriefing

You've heard me say it time and again:
Your AI agents need high-quality data to deliver high-quality results.

But what does Agentic-Ready Data look like?
And where does that high-quality data even come from when data is rarely current, correct, enriched, or governed.

I can't wait to learn about it from the Precisely team at the Gartner Data & Analytics Summit in Orlando next week at booth # 727. Learn more here: https://lnkd.in/dXhPcGiS

If you're on site, don't forget to join this session:

How a Global Gaming Leader Is Closing the Agentic AI Data Integrity Gap
Monday, March 09, 2026 / 03:30 PM - 04:00 PM EDT (Osceola D)
Paul Bell, Global Head Of Data Trust & Integrity, Entain
Cam Ogden, SVP of Product Management, Precisely

One thing is clear, the highest quality data that is integrated, governed, and enriched is needed for successful AI, automation, and analytics initiatives across the enterprise.

It better be. It has to be.


See you in Orlando!


#ArtificialIntelligence #AgenticAI #Sponsored

If you haven’t gotten your copy, yet, there’s still time to snag the launch price of $0.99 on Amazon today! The HUMAN Agentic AI Edge

graphical user interface, text, application

“What’s new, and what’s real with Agentic AI?” is the big question I’m getting answers to next week in Orlando.

I’ll cover the latest news on site, interview top executives, and talk to customers to get information straight from the source.

One thing is clear:
Large organizations are innovating with Agentic AI. They just don’t talk about it publicly (out of fear to get bad press or backlash). But we need more transparency (not less!), so everyone can avoid the costly mistakes. 

Join me in Orlando for the Gartner Data & Analytics Summit! Leave a comment if you’re going, too.


Still need to register? Use code ‘JOINMEINORLANDO’ to save $450 off registration: https://lnkd.in/duUD-re3
 

PS: Looking forward to catching up with Kate Strachnyi, SCOTT TAYLOR, George Firican, and Ravit Jain.

#GartnerDA #DataCommunity #DataSummit #ArtificialIntelligence #AgenticAI

Agentic AI value does not come from models alone. Instead, quality, trust, and governance of the data behind it are more critical than ever.

To learn more, I spoke with Felix Van de Maele, CEO of Collibra, to discuss why turning AI ambition into real business value starts with one thing: Data Confidence.

Here’s what stood out:

1. AI success is mostly a data challenge
Felix makes the case that enterprise AI is largely driven by the data organizations feed into their models, agents, and use cases. When companies have confidence in their data, they can move faster, generate higher-quality outputs, and drive stronger adoption across the business.

2. Unstructured data is the next big frontier
Most enterprise data is still unstructured, and that creates a major challenge for AI teams. Felix explains why discovering the right documents, identifying sensitive information, and evaluating data quality are essential if organizations want to get better ROI from AI initiatives.

3. More context does not always mean better results
Simply loading every available document into an AI system is not a winning strategy. Better outcomes come from intentional governance of the data and context that agents rely on.

4. Agentic AI raises the stakes for governance
As AI agents begin to take more autonomous actions, accountability becomes even more important. Felix breaks down why organizations need to govern inputs, monitor outputs, and establish the right controls to move AI from experimentation into production responsibly.

If you're tasked with scaling AI in your enterprise, this conversation is a strong reminder that trusted data is the foundation for trusted AI outcomes.


#ArtificialIntelligence #AgenticAI #DataGovernance

Anthropic calls it: Theoretical capability.
You might also call it: Market potential. 

Keep in mind that these are the key industries and occupations that Anthropic is selling to!

So, it’s not surprising for a vendor to picture their product as covering close to 100%(!) of tasks in management, finance, programming, legal, life sciences, and office admin.

The bigger questions are about how to turn theoretical into actual capability:
1) Why is there so much untapped potential?
2) How can organizations close that gap?

Yet, the cause is all around you in your business:
Leaders are asking “We’ve given everyone access to Copilot, Claude & Co., now what?”

Tools have theoretical capabilities.
Humans need actual capabilities. 


Since the summer, I’ve been running cohorts of my “Certified AI Leader” upskilling program.

The four levels of the learning journey cover the basics of using AI assistants, applying advanced prompting techniques, building your first AI agents, and leading your teams through AI-driven change: https://lnkd.in/dq4ayVWX


Prepare your teams expand their actual capabilities. DM me for the details. 


PS: In the meantime, learn how to shape the next generation of AI-ready teams with my new book, The HUMAN Agentic AI Edge.

#ArtificialIntelligence #Upskilling #IntelligenceBriefing

AI agents are only as good as the data behind them.

That’s why I talked to Cam Ogden, SVP of Product Management at Precisely, to learn more about the challenge many organizations are underestimating: whether their data is actually Agentic-Ready Data.

As more companies move from AI experimentation to enterprise agents making decisions on their behalf, the bar for data trust rises dramatically. Cam shares why “AI-ready” and “agentic-ready” are not the same thing, and what leaders need to do now to close that gap.
Here’s what you’ll learn:

1. Why data trust matters more in the age of AI agents
When dashboards fail, teams lose confidence. When agents act on flawed data, the business takes on real operational risk. Agentic AI requires a much higher standard of trust, completeness, and confidence in enterprise data.

2. Where the AI readiness disconnect really comes from
According to the 2026 State of Data Integrity and AI Readiness report (https://lnkd.in/dMm72RbM), co-developed with the Drexel LeBow Center for Applied AI and Business Analytics, many leaders say their organizations are AI ready because they have roadmaps, cloud investments, and executive support in place. But at the operational level, the picture often looks very different, creating a gap between strategy and execution. That’s also why so many organizations are still struggling with data quality, context, and integration.

3. The hidden measurement problem in AI adoption
A major issue is not just whether companies are investing in AI, but whether they are measuring success in a meaningful way. Too few organizations have clear metrics tied to AI outcomes, which makes it harder to prove impact and scale what works.

4. How to close the agentic AI data integrity gap
Leaders need to address six core challenges, spanning siloed data, missing context, stale data, incomplete records, weak governance, and rising cost from untangling these issues. Start with one use case, strengthen the data foundation, prove value, and then scale across the business.

If you’re exploring AI agents in the enterprise, this conversation will help you understand why trusted, well-governed data is becoming a competitive requirement.

Watch and listen how leaders can build the Agentic-Ready Data foundation needed for real AI scale.

#ArtificialIntelligence #DataStrategy #AgenticAI #AgenticReadyData #Precisely

Everyone wants AI agents. But most organizations are still skipping an important step: 

Matching the type of Agentic AI they want to the level of readiness they actually have.

A practical way to think about Agentic AI is in 3 categories:

1. Personal productivity: AI helps an individual draft, summarize, research, or analyze. Accountability is still clear.

2. Operational efficiency: Teams hand recurring work to agents, such as reporting, data checks, or coordination. Review processes start to matter much more.

3. Strategic differentiation: Agents support core processes like procurement, customer support, or financial analysis. This is where scale rises fast, but so does risk.


The mistake many companies make is treating all three the same. It’s a core aspect in my new best-selling book, The HUMAN Agentic AI Edge.

As agent autonomy increases, so must clarity around ownership, permissions, quality standards, and review.

That is why leaders need to look at agents through two lenses at the same time:
- as digital employees that need guardrails
- as just another piece of software that must be governed

Most importantly, human are still responsible. AI can accelerate work, but it does not remove judgment. If standards do not keep pace with adoption, “productivity gains” quickly turn into review overhead, rework, and hidden clean-up.

The better approach:
- Start where accountability is clear.
- Design deliberately as complexity increases.
- Keep human judgment ahead of AI capability.

Wanting AI agents is easy. Using them well is the real work. Read the full guest article on Technical-ly

#ArtificialIntelligence #AgenticAI #IntelligenceBriefing

For the weekend ahead, get some reading or listening in and learn with The HUMAN Agentic AI Edge audiobook how to empower your team to become AI-ready.

You’ll learn about:
- Why professionals need to do a Labor-Shift Check before passing on AI-generated results
- Whether (or when) to view AI agents as digital employees
- How to encourage your team to balance AI-driven efficiency with human judgment 

Why it matters:
At the end of the day, your stakeholders are indifferent about whether your team or its AI created the results. But you’ll hear about it when quality degrades.

Get started today and shape the next generation of AI-ready teams!


#ArtificialIntelligence #Leadership #IntelligenceBriefing

Your biggest AI advantage is a repeatable way for people to use it.

Start a tiered champion program: basic membership and sandbox access, short role-based courses, hands-on prototyping, and named local contacts who connect teams to deployment support. 

Curate short learning paths, keep playgrounds safe, and push pilots that show clear deployment paths so adoption comes from informed users, not guesses.  

Stop confusing speed with scale. Quick experiments teach a lot, but without structure they create waste. Require a simple pilot template (goal, expected benefit, data needs, security checklist, deployment path), run short cycles, and measure outcomes you can act on. Keep governance light but consistent so teams don’t reinvent the same work.  


This is just an excerpt of my weekly newsletter—subscribe to read the latest issue via the link under my name.

El Puerto de Liverpool

I help teams create useful data products — not just files nobody uses. I work on the vision, strategy, and plan for data and AI projects, using a Data Mesh approach. This means each business team can manage and grow their data products in a responsible way.

I work closely with technical and business teams to turn unclear needs into clear, scalable solutions using Google Cloud Platform, like BigQuery and Vertex AI. In simple words: I make sure data is useful, well organized, and ready to support smart decisions.

Data & AI Product Strategist

Instituto Politécnico Nacional

Professor, IPN. 
Research Interests:
- Multi-objective optimization.
- GPU computing.
- Big Data.
- Applications of information systems.

Researcher in Computational Cognitive Sciences at the National Polytechnic Institute

ITESO Universidad Jesuita de Guadalajara

Reviewer and advisor for master's and doctoral theses on deep learning at ITESO

FinTech, InsurTech & Competitive Intelligence: AI for Data

Responsible for leading the production process of the advanced analytics model for our clients in Mexico. Management of the Data Science, Data Engineering, and Analytics teams.

Understanding of needs and areas of opportunity to be addressed through Artificial Intelligence solutions, based on Data Science, Machine Learning, and Business Intelligence using Scientific Mathematical and Statistical Methods.

Artificial Intelligence Manager

Banco Multiva

La ingeniería de datos ha evolucionado para enfrentar desafíos cada vez más complejos en la gestión, análisis y uso de grandes cantidades de datos. Nuevas tecnologías, herramientas y prácticas se han desarrollado en los últimos años para mejorar la eficiencia y la efectividad de la gestión de datos. Algunos de los cambios más importantes en la evolución de la ingeniería de datos incluyen:

Mayor volumen y variedad de datos: Con la adopción de nuevas tecnologías y la cantidad de dispositivos conectados a Internet, ha habido un crecimiento exponencial en la cantidad y variedad de datos disponibles para las organizaciones.

Tecnología de bases de datos: Desde las bases de datos relacionales tradicionales hasta las bases de datos NoSQL y la tecnología de Big Data, las tecnologías de bases de datos han evolucionado significativamente, lo que ha permitido a las empresas gestionar y analizar grandes cantidades de datos de manera más eficiente.

Nuevas herramientas de análisis de datos: El aumento en la cantidad y variedad de datos ha llevado al desarrollo de nuevas herramientas de análisis de datos, como el aprendizaje automático y la inteligencia artificial.

Enfoque en la automatización y la eficiencia: Con la cantidad de datos que deben ser gestionados y analizados, ha habido un enfoque en la automatización y la eficiencia para permitir que las organizaciones manejen grandes cantidades de datos con menos recursos.

Gerente de ingeniería de datos 

Telcel

Las tecnologías más modernas de virtualización de datos permiten a los usuarios acceder y manipular datos en tiempo real, sin tener que preocuparse por la ubicación física o el formato de los datos. Las soluciones actuales de virtualización de datos también pueden integrar y unificar datos de diversas fuentes, tanto estructuradas como no estructuradas, y proporcionar una única vista de los datos a los usuarios.

Además, estas soluciones están cada vez más incorporando inteligencia artificial y aprendizaje automático para mejorar la calidad de los datos y optimizar el rendimiento de la virtualización de datos. También se están utilizando técnicas avanzadas de seguridad y privacidad para proteger los datos durante su virtualización y posterior uso.

Data Virtualization Architect

- Design of complex Oracle database architecture based on stand alone, clustered and virtualized implementations (Oracle data warehouse technologies, advanced analytics and Oracle data mining).
 - Controls project requirements, scope, and change management issues. 
- Responsible for networking and server aspect of the projects from initiation to implementation.
- Coordinate works among several teams
- Study business and application specific requirements, review organizational IT infrastructure as well as designing and implementation to meet current and future requirements.
- Develop solutions based on technology trends and standards, to exploit new and emerging technologies and products to meet present and future business needs.
- Involve in the design, management and enhancement of the corporate IT infrastructure.
- Manage the designated vendor and contract to ensure the designated vendor meets contractual obligations, leading to successful delivery of the project.
- Manage the client’s expectations, develop and actively engage customers so as to achieve customer satisfaction.
- Integrates and uses project management methodologies.
- Expirence in implementing Exadata on multiple sites. 
- Experience in designing, implementing and supporting high availability and disaster recovery solutions for mission-critical 24x7x365 environments.

Big Data Engineer

Instituto Tecnologico de Izcalli

Teacher of the course ”Data Mining & Databases"

Visiting Professor

Grupo Salinas

Heavy experience with SQL,
Experience with NOSQL technology,
Performance Tuning
Data, like data, know data, love data

Primary Skills:
R12, 12c RAC, 12c OEM, OBIEE, Goldengate, OVM, VMWare, OAM, OID, Data Guard, EBS, SAN, SSO, Exadata, Exalogic, VM,R12.2

Database Architect

Sisteformas

Programming Languages: Perl, Java, C, Bourne Shell, Erlang, JavaScript
Operating Systems: FreeBSD, Linux, Solaris, Mac OS X, MS Windows
Databases: MySQL, PostgreSQL, Oracle
Cpan: DBI, DBIx::Class, Class::DBI, Template::Toolkit, CGI::Application, etc.
Other: Apache, mod_perl, qmail, Ext JS, Postfix, Catalyst, Interchange, pfSense

Database developer(MS SQL Server,MySQL,Postgres,SQLite ,HSQL), Spring framework(Java, JavaScript,HTML,CSS,XML), Mobile Application(Android) SOA(SCA,JBPM,SOAP and REST web services)

Database Administrator

Tengo una sólida formación en resolución de problemas, pensamiento analítico y arquitectura técnica, y he dedicado mi carrera a mejorar procesos y garantizar la satisfacción del cliente en el dinámico campo de datos y tecnología. Mi enfoque en análisis e interpretación de datos ha sido crucial para lograr resultados impactantes en un mercado en constante evolución. Mis cuatro maestrías y dos doctorados han ampliado significativamente mis habilidades y conocimientos, permitiéndome abordar desafíos complejos con éxito.

Como líder en la transformación digital, me especializo en estrategias de aprendizaje continuo y en la formación de equipos de alto rendimiento para desarrollar soluciones digitales innovadoras. Mi capacidad para traducir las necesidades del cliente en resultados tangibles ha generado un valor significativo en las organizaciones donde he trabajado. Además, tengo el honor de ser invitado como conferencista en congresos científicos sobre temas relacionados con la transformación digital e Inteligencia Artificial.

En mi trayectoria actual en el sector privado, he liderado equipos de Científicos de Datos, Analistas, Ingenieros y Arquitectos en entornos de Big Data y Cloud Computing. Mi reputación se basa en mi responsabilidad, entusiasmo y habilidades organizativas, lo que me permite colaborar eficazmente tanto en equipos como de manera independiente.

taplio

The Battle

Andreas Welsch

Arturo Perez-Cebreros

Followers

Posts

Engagements

Likes

Performance ScoreAndreas Welsch's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Andreas Welsch

Arturo Perez-Cebreros

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Andreas Welsch's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreAndreas Welsch's LinkedIn Performance