Giuliano Liguori

Kenovy

Kenovy is a digital consulting firm, committed to developing innovative solutions that meet the relentless need for ever better digital services.

Chief Executive Officer and Co-Founder

Digital Leaders

The Digital Transformation HUB - Digital Leaders is a global initiative promoting Digital Transformation.

Founder and Publisher

Rotary International

Presidente Commissione Artificial Intelligence 
Anno Rotariano 2024 - 25

Rotary Club Afragola - Frattamaggiore "Porte di Napoli"
District 2101

Member

CIO Club Italia

Co-Founder

SwissCognitive, World-Leading AI Network

 Global AI Ambassador 2022

CTP SpA

Chief Innovation Officer

Chief Information Officer / IT Manager

IT Service Manager

IT Operations Manager

IT Support Engineer

BE Informatica

Chief Digital Officer (CDO)

SOFTWARE DESIGN SpA

IT Support Specialist

Business Intelligence Specialist

Chief Executive Officer and Co-Founder Kenovy | Vice President CIO Club Italia

At Kenovy, our team is spearheading digital consulting initiatives, focusing on innovative solutions for a demanding digital service landscape. Leveraging expertise in digital transformation and IT management has positioned us to drive business growth and operational excellence. We've embraced the challenge of continuously meeting the dynamic needs of our clients, ensuring they stay ahead in an ever-evolving digital economy.

My role as CEO encompasses not just leading our organization but also sharing knowledge on platforms like Digital Leaders. Contributing to a global dialogue on digital trends, from AI to cybersecurity, reflects my commitment to influencing and guiding digital strategy. It's through this dedication that we've enabled our clients to navigate change effectively, turning disruption into opportunity for sustainable success.

AI Agents are quickly becoming the operational layer of modern AI — not just “chatbots,” but systems that can plan, reason, act, learn, and adapt toward a goal.

This infographic captures the shift clearly:

An AI agent starts with goals and tasks, guided by a system prompt and (often) human oversight.

It senses the environment, then decides what to do next.

It relies on memory (short-term + long-term) to stay consistent and improve over time.

And it uses tools — web, code, apps, data, functions — to actually execute work in the real world.

What’s most important is not the academic debate around “agents vs agentic AI,” but the reality:
AI systems are moving from passive outputs to autonomous, multi-step behavior that delivers outcomes.

We’re entering the era where intelligent agents become teammates — orchestrating workflows, accelerating decisions, and scaling expertise across the enterprise.

How are you already using AI agents in your organization, and where do you see the biggest next opportunity?

#AI #AIAgents #AgenticAI #GenerativeAI #Automation #DigitalTransformation #FutureOfWork

Giuliano Liguori 

Chief Executive Officer @ Kenovy

🧠 The modern AI stack is no longer optional knowledge — it’s a leadership skill.

This infographic nails the 5 pillars of modern AI that every organization (and executive team) should understand to compete in 2025:

1. Generative AI ✨
The engine of creation — text, image, video, code. Powered by LLMs, diffusion models, RLHF, fine-tuning, and prompt engineering.


2. Large Language Models (LLMs) 🧩
The core intelligence layer — transformers, context windows, embeddings, scaling, instruction tuning, evaluation, and inference optimization.


3. Retrieval-Augmented Generation (RAG) 🔎
The grounding layer — retrieval pipelines, vector DBs, chunking, re-ranking, knowledge graphs, caching, and source attribution for factual accuracy.


4. AI Agents 🤖
The autonomy layer — perception, reasoning, planning, memory, tool access, multi-step execution, orchestration, and continuous improvement.


5. Agentic AI 🚀
The systems layer — multi-agent collaboration, goal-oriented planning, self-correction, human-AI teaming, adaptive learning, and real-world tool integration.



The shift is clear:
We’re moving from AI that answers → to AI that executes outcomes.

👇 Which pillar do you think will create the biggest competitive advantage in the next 12–18 months?

#AI #GenerativeAI #LLMs #RAG #AIAgents #AgenticAI #DigitalTransformation #Innovation #FutureOfWork

Ulviyya Ahmadova

🔐 Learning Cybersecurity with Python: Ethical Projects for Building Real Defensive Skills

Cybersecurity is one of the most strategic skill areas for modern organizations.
Python plays a key role in helping professionals understand system behavior, identify vulnerabilities and strengthen defenses.

Here are some ethical, hands-on project ideas that mirror real security workflows while promoting responsible learning:

Beginner Level
• Keylogging for defensive monitoring and endpoint behavior analysis
• Port scanning to understand network exposure and open service enumeration
• Traffic load simulation to study resilience and DDoS mitigation strategies

Intermediate Level
• Vulnerability scanning to identify misconfigurations and outdated components
• Packet sniffing for network forensics and intrusion detection
• Secure password generation and rotation tools

Advanced Level
• Wi-Fi auditing utilities for testing wireless security posture
• NFC security testing to validate contactless communication safety
• Email authentication and spoof-testing tools for strengthening SPF/DKIM/DMARC policies

Used responsibly, these projects help professionals deepen their understanding of attack surfaces — not to exploit them, but to anticipate threats, reinforce security controls and protect digital ecosystems.

Cybersecurity is ultimately about resilience, trust and proactive defense.

Credit to the author 

#Cybersecurity #EthicalHacking #Python #InfoSec #CyberDefense #SecurityEngineering #BlueTeam #RedTeam #AIandSecurity

🚀 The Complete Generative AI Tech Stack: 6 Layers Powering Autonomous AI Agents

The rapid evolution of Generative AI has brought us to a new frontier: autonomous AI agents capable of planning, reasoning and executing tasks across complex ecosystems.
This infographic by @goyalshalini brilliantly illustrates the six foundational layers enabling this transformation.

🔹 1. Infrastructure Layer (IaaS / Compute & Storage)

The backbone of every AI system — including GPUs/TPUs, cloud providers, vector databases, containerization and orchestration frameworks like Kubernetes.

🔹 2. Foundation Model Layer (LLM Core)

Pretrained and open-source LLMs (GPT, Claude, LLaMA, DeepSeek, Mistral, Phi) combined with tokenization, fine-tuning techniques, prompt engineering and scalable deployment architectures.

🔹 3. Retrieval-Augmented Generation (RAG Layer)

Embedding models, chunking, vector search, hybrid ranking and context injection bring factual grounding, accuracy and real-time knowledge into LLM workflows.

🔹 4. Generative AI Layer (Applications & UX)

Text, image, audio and code generation interfaces — from chatbots to multimodal systems — enabling user-facing experiences powered by advanced AI capabilities.

🔹 5. AI Agent Layer (Autonomous Behaviors)

Planning, task chaining, API execution, memory systems, reasoning patterns (ReAct, CoT, ToT) and multi-agent collaboration frameworks such as LangChain, CrewAI and AutoGen.

🔹 6. Agentic AI Layer (Coordination & Orchestration)

Protocols, communication frameworks, environment simulation, governance, safety mechanisms and adaptive intelligence that allow multiple agents to coordinate effectively.

This layered architecture explains why AI is rapidly moving from isolated tasks to complex, end-to-end autonomous workflows.
Understanding these layers helps organizations design scalable, robust and safe AI systems ready for real-world deployment.

#GenerativeAI #AIagents #AgenticAI #LLMs #RAG #ArtificialIntelligence #Innovation #DigitalTransformation #AIArchitecture

🏛️ The 7 Pillars of Agentic AI: the foundation of the next technological era

Agentic AI represents a new paradigm where AI systems evolve from passive tools to autonomous agents capable of acting, planning, reasoning and collaborating.
This framework is structured around seven key pillars, each defining a strategic capability essential for building next-generation intelligent systems:

1. Autonomy – Agents operate independently and initiate actions without human intervention.


2. Goal-Directed Planning – They break down objectives, create actionable plans and adapt dynamically.


3. Communication & Collaboration – Agents interact with humans and other agents to achieve shared tasks.


4. Reasoning & Decision Making – They apply logic and contextual intelligence to make informed decisions.


5. Tool Use & Environment Interaction – Agents leverage tools, APIs, browsers and code to perform complex operations.


6. Memory & Learning – They store, retrieve and use past knowledge to improve over time.


7. Safety, Alignment & Evaluation – Agents operate within ethical and reliable boundaries.



This evolution marks a significant shift: from predictive AI to proactive AI.
A future where intelligent agents become strategic partners—supporting decision-making, automating workflows, enhancing productivity and unlocking unprecedented innovation.

Understanding these pillars today means shaping the organizations that will lead tomorrow.

#AI #AgenticAI #ArtificialIntelligence #FutureOfWork #Innovation #DigitalTransformation #AIagents

Just shared this brilliant mind map on the 15 key architectural characteristics of AI agents — absolutely packed with insights!

Modularity, evolvability, context awareness, security compliance… everything you need to design robust agents.

Huge thanks to @Python_Dv for creating this gem

🔵 Agentic AI is not a single tool — it’s a full-stack architecture.

This infographic (credit: Analytics Vidhya) explains the layered reality behind autonomous AI:

🧠 LLMs are the core (tokenization, prompts, inference, APIs).
🤖 AI Agents add planning, reasoning, memory, and tool use.
🧩 Agentic Systems (multi-agent) enable collaboration, routing, RAG, and state coordination.
🏗️ Agentic Infrastructure makes it enterprise-ready: observability, security, HITL controls, retries, and cost governance.

In short:
LLMs = intelligence
Agents = autonomy
Multi-agents = scale
Infrastructure = reliability

The companies winning in 2025 won’t just “use an LLM.”
They’ll build agentic systems that execute real work end-to-end.

👇 Where do you see the biggest near-term impact of agentic AI in your industry?

#AgenticAI #AIAgents #LLMs #GenerativeAI #RAG #Automation #AIArchitecture #DigitalTransformation

🤖 Top 15 Agentic AI Use Cases Shaping 2025

Agentic AI is redefining how organizations operate, shifting from traditional automation to intelligent systems capable of acting autonomously, orchestrating workflows and making context-aware decisions.
The impact spans across industries, creating new opportunities for innovation, efficiency and resilience.

Among the most transformative use cases emerging in 2025:

Customer Support Automation and Call Center Automation
Intelligent agents manage complex inquiries, escalate only when necessary and deliver personalized support at scale.

Cybersecurity Threat Detection & Response
Autonomous agents monitor digital ecosystems, detect anomalies and trigger protective actions in real time.

Software Development & IT Operations
From code generation to automated incident response, agents accelerate delivery and enhance system reliability.

Healthcare Scheduling & Patient Management
Optimized patient workflows, reduced administrative burden and improved resource allocation.

Sales Outreach, Lead Nurturing & Content Creation
Agents enhance productivity in marketing and sales, delivering tailored engagement strategies.

Manufacturing, Supply Chain & Defense Logistics Automation
Real-time optimization, predictive maintenance and autonomous coordination across complex ecosystems.

Scientific Research, Drug Discovery & Financial Risk Management
Accelerated research cycles, deeper insights and stronger risk mitigation.


Agentic AI is not just enhancing existing processes — it is rebuilding them with autonomy, reasoning and situational awareness.
Organizations that embrace this evolution will gain a decisive advantage in innovation and competitiveness.

#AgenticAI #AI #ArtificialIntelligence #Innovation #FutureOfWork #Automation #DigitalTransformation

🧠 17 Essential Prompt Engineering Techniques for Getting Better Results with ChatGPT

As generative AI becomes a core component of professional workflows, the ability to craft effective prompts is now a strategic skill.
This infographic highlights 17 powerful prompt engineering techniques that help unlock clearer, more accurate and more actionable responses.

Some of the most impactful approaches include:

🔹 1. Specific Prompts – Clearly define what you want (“Write an accurate one-line definition of photosynthesis”).
🔹 2. Give a Role – Assign expertise to the model (“You are an expert career coach”).
🔹 3. Provide Context – Explain the situation to improve relevance.
🔹 4. State the Task Explicitly – Make the request clear and actionable.
🔹 5. Specify Output Format – Tables, bullet points, summaries, frameworks, etc.
🔹 6. Specify Tone – Persuasive, formal, conversational, analytical.
🔹 7. Set a Style/Genre – Twitter thread, strategy memo, report, press release.
🔹 8. Include Data or Files – Guide the model using attachments or statistics.
🔹 9. Image Generation Prompts – Request minimal visuals or conceptual sketches.
🔹 10. Hypothetical Scenarios – Explore possibilities and risks.
🔹 11. Progressive Prompting – Build responses step by step.
🔹 12. Step-by-Step Frameworks – Ask for structured processes or playbooks.
🔹 13. Sequential Requests with Sources – Summaries with citations and chronology.
🔹 14. Contrasting Perspectives – Expand analysis with pros/cons or opposing views.
🔹 15. Conditional Prompts – “If X happens, estimate Y impacts…”
🔹 16. Multi-Role Dialogues – Role-play scenarios for deeper reasoning.
🔹 17. Future Forecasting – Analyze long-term trends and outlooks.

Mastering these techniques dramatically improves the quality of AI-assisted writing, strategy, research, analysis and problem-solving.

Credit to Gina Acosta (@ginacostag_)

#PromptEngineering #GenerativeAI #ChatGPT #AIProductivity #DigitalTransformation #AIEducation #FutureOfWork

📈 The AI tool race is officially mainstream — and the numbers are staggering.

According to AITools.xyz, ChatGPT alone is drawing 4.7B monthly visits (Jan 2025) 🤯
But what’s even more interesting is what comes next:

🎨 Canva — 887M
🌍 Google Translate — 595M
🧠 DeepSeek — 268M (explosive growth after open-source reasoning release)
💬 Character.AI — 226M
🔎 Perplexity — 133M
✨ Gemini — 118M
🤖 Claude — 105M
…and a long tail of specialized tools reshaping search, creativity, education, writing, and productivity.

This isn’t just “AI adoption.”
It’s a clear signal that AI has become a daily operating layer for work and life — and the ecosystem is fragmenting into purpose-built leaders.

The question now:
Which category will dominate next — chat, search, design, coding, or autonomous agents?

👇 What AI tool do you personally use the most, and why?

Credit / Source: AITools.xyz
#AI #GenerativeAI #AITools #ChatGPT #Perplexity #Gemini #Claude #DeepSeek #DigitalTransformation #Innovation

🚀 AI Engineering Cheat Sheet: 6 Steps for Businesses
 
 🔹 Define Strategy & Business Alignment
 🔹 Build the Right Data Foundation
 🔹 Adopt Scalable AI Architectures & Tools
 🔹 Ensure Security, Reliability & Compliance
 🔹 Integrate AI into Business Processes
 🔹 Monitor, Govern & Continuously Improve
👉 Practical guide for turning AI into business value.

#AI #AIEngineering #BusinessTransformation

📌 by @ingliguori | kenovy.com

🤖 Excited to see Bitrix24 launch the new MCP Hub!

Honoured to be a trusted Bitrix24 Gold Partner in Europe and to bring this innovation to our clients 🪄✨
Kenovy #Bitrix24

🚀 Sovereign AI Cheat Sheet: 6 Steps for Businesses 🌍🤖

🔹 1. Define Sovereignty & Strategic Objectives
 Clarify goals, regulations, and align with business strategy.
🔹 2. Assess Data Localization & Compliance Needs
 Map storage/flows, apply residency rules, ensure compliance.
🔹 3. Choose Sovereign Infrastructure & Models
 Adopt sovereign cloud/on-premise; prefer open-source or local models.
🔹 4. Ensure Security, Privacy & Robustness
 Encrypt data, apply zero-trust, patch vulnerabilities, defend models.
🔹 5. Integrate into Local Ecosystems & Processes
 Enable interoperability, support regional innovation, sovereignty pipelines.
🔹 6. Govern, Monitor & Scale Responsibly
 Apply governance, audit compliance, scale with ROI & accountability.

👤 by @ingliguori | 🔗 kenovy.com

#AI #SovereignAI #CheatSheet #Business

The 𝗛𝘂𝗮𝘄𝗲𝗶 𝟮𝟬𝟮𝟱 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗲𝗰𝘁𝘂𝗮𝗹 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝗙𝗼𝗿𝘂𝗺 once again underlined how openness in IP and sustained R&D investment can unlock the next wave of digital innovation.

Among the Top Ten Inventions presented this year is the 𝗦𝗰𝗮𝗹𝗲-𝗨𝗽 𝗨𝗹𝘁𝗿𝗮-𝗟𝗮𝗿𝗴𝗲-𝗦𝗰𝗮𝗹𝗲 𝗦𝘂𝗽𝗲𝗿𝗣𝗼𝗗 𝗦𝗲𝗿𝗶𝗲𝘀. One of today’s main bottlenecks for large-scale AI infrastructure is interconnect technology – how to link massive numbers of chips and SuperPoDs over long distances while keeping connections reliable, high-speed and low-latency.

Leveraging decades of expertise in connectivity and a series of system-level innovations, Huawei has introduced the 𝗔𝘁𝗹𝗮𝘀 𝟵𝟱𝟬 𝗦𝘂𝗽𝗲𝗿𝗣𝗼𝗗 (with 8,192 Ascend NPUs) and the 𝗔𝘁𝗹𝗮𝘀 𝟵𝟲𝟬 𝗦𝘂𝗽𝗲𝗿𝗣𝗼𝗗 (with 15,488 Ascend NPUs). These systems are designed to deliver industry-leading performance in computing power, memory capacity and interconnect bandwidth.

Building on this, Huawei has also announced the 𝗔𝘁𝗹𝗮𝘀 𝟵𝟱𝟬 𝗦𝘂𝗽𝗲𝗿𝗖𝗹𝘂𝘀𝘁𝗲𝗿 (over 500,000 Ascend NPUs) and 𝗔𝘁𝗹𝗮𝘀 𝟵𝟲𝟬 𝗦𝘂𝗽𝗲𝗿𝗖𝗹𝘂𝘀𝘁𝗲𝗿 (over one million Ascend NPUs) – large-scale computing clusters composed of multiple SuperPoDs. Together, they are positioned to provide the abundant computing power needed for the rapid advancement of AI in the years ahead.

This is a strong example of how Huawei uses intellectual property, open collaboration and engineering excellence to drive progress in AI computing.

Huawei #Huawei #IPR2025 #IPMatters

𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗣𝗿𝗼𝗳𝗶𝗹𝗲𝘀 𝗮𝗻𝗱 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲𝗱 𝗟𝗮𝘆𝗼𝘂𝘁𝘀 𝗶𝗻 𝗕𝗶𝘁𝗿𝗶𝘅𝟮𝟰: 𝗚𝗶𝘃𝗲 𝗬𝗼𝘂𝗿 𝗧𝗲𝗮𝗺 𝗮 𝗙𝗮𝗰𝗲
In today’s digital organizations, every user is more than just a name on a list — they’re a key part of the company’s structure.
 
With Bitrix24, each profile becomes an interactive company card, helping you highlight people, roles, and skills across your organization.
Customizing employee profiles enhances 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻, 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗰𝗹𝗮𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝘁𝗲𝗮𝗺 𝗲𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁.

 Especially in large or distributed teams, having well-structured and consistent profiles helps streamline communication and strengthen your corporate culture.

Kenovy Bitrix24 #Kenovy #Bitrix24

Great quick reference from @SecurityTrybe! 

🔥 8 common cyberattacks every professional should know: 
1. Phishing 
2. Malware 
3. DoS/DDoS 
4. Man-in-the-Middle 
5. SQL Injection 
6. Zero-Day Exploit 
7. Advanced Persistent Threat (APT) 
8. Ransomware 

Clean infographic, perfect for awareness training or sharing with your team. 
Thanks Security Trybe for the solid breakdown! 🛡️ 

#CyberSecurity #InfoSec

Pleased to see #Huawei and ICPC bringing global student talent together at the 2025 ICPC Challenge Championship powered by Huawei, held Nov 11–13 at Huawei’s Lianqiu Lake Campus in Shanghai. Under the theme “𝗘𝘅𝗽𝗹𝗼𝗿𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗘𝗿𝗮 𝗼𝗳 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲” the event features a 5-hour onsite challenge based on a real-world industrial problem, plus a Tech Salon and Challenge Roadshow. 

More than 110 coaches, top contestants, professors, and industry experts from over 30 countries and regions are gathering to tackle cutting-edge algorithmic challenges, including “𝗠𝗲𝗺𝗼𝗿𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀” and to exchange ideas on future tech trends.

#ai #artificialintelligence #LLMs

The Third ICPC Challenge Championship powered by #Huawei gathered top international programmers to explore and solve real-world industrial problems. Themed "Exploring Technology Foundation and Practice in the Era of Intelligence", this year's event focused on memory management for large language models and attracted more than 110 contestants and coaches from 30+ countries and regions, with Chu Xieting, a Chinese contestant studying at Georgia Tech, coming out on top. Learn more:  https://lnkd.in/gRP2M9AN #HuaweiNews

🚀 20 Must-Try AI Tools to Level Up Your Work in 2025

AI is no longer a nice-to-have — it’s a daily advantage. This infographic is a great snapshot of the tools shaping how we create, code, research, design, automate, and communicate.

From general-purpose copilots to text-to-image/video/audio, agentic automation, and research engines — the stack is getting powerful fast.

A few that are changing the game for teams right now:
🤖 ChatGPT / Claude for reasoning & productivity
🎨 Midjourney / SDXL / DALL-E for visual creation
🎬 Runway / FullJourney for video workflows
🔎 Perplexity for research & search
🧠 AutoGPT / SuperAgent for autonomous task execution
🗣️ ElevenLabs / AudioCraft for voice & music
🛠️ Make.com for automating end-to-end processes

The real question isn’t “Which AI tool is best?”
It’s “Which combination gives you a measurable edge?”

👇 Which 3 tools from this list do you use most — and what are you using them for?

#AI #GenerativeAI #AITools #Productivity #Automation #AgenticAI #DigitalTransformation #Innovation #FutureOfWork

​I am incredibly honored and excited to share that I have been included in the "Top Italian AI & Leadership Thought Leaders" list, compiled by Fabio Moioli!

​A big thank you to Fabio for putting together this valuable resource and for recognizing my contributions to the AI conversation. It's truly inspiring to be listed alongside such esteemed colleagues who are actively shaping the future of AI in Italy.

​Check out the full list! 👇

Leadership & AI Advisor at Spencer Stuart. Passionate about AI since 1998 — but even more about Human Intelligence since 1975. Forbes Council. ex Microsoft, Capgemini, McKinsey, Ericsson. AI Faculty

“𝗧𝗼𝗽 𝗜𝘁𝗮𝗹𝗶𝗮𝗻 𝗔𝗜 & 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗧𝗵𝗼𝘂𝗴𝗵𝘁 𝗟𝗲𝗮𝗱𝗲𝗿𝘀” 𝗟𝗶𝘀𝘁 — 𝘄𝗵𝗼 𝗶𝘀 𝗺𝗶𝘀𝘀𝗶𝗻𝗴?

I just published a list of the most active Italian voices shaping the AI conversation here on LinkedIn.
Academics, journalists, founders… the ones who actually talk about AI every week.

𝘄𝗵𝗼 𝗲𝗹𝘀𝗲 𝗱𝗲𝘀𝗲𝗿𝘃𝗲𝘀 𝘁𝗼 𝗯𝗲 𝗼𝗻 𝗶𝘁?
please tag them> let’s make this a valuable map of Italian AI thought leaders

#AI #Leadership #Italy #Innovation

Full list at the link below:

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