Andreas Welsch

Intelligence Briefing

● Speaking & Coaching:
- Inspire and educate audiences of up to 10,000 attendees on using AI in business.
- Recent collaborations: Germany’s Employment Agency, ITONICS, Packt Publishing, Potter Electric Signal, Similarweb, Wizly, WOW AI, and more…
- Member of the National Speakers Association and Certified Virtual Presenter.

● Thought Leadership:
- Created and hosted bi-weekly live stream and podcast, “What’s the BUZZ?”, and built a global, growing audience of 80k+ AI leaders and practitioners in 70+ countries. More than 55 episodes published to date.
- Shared top-of-mind leadership topics in AI through weekly newsletter, “The AI MEMO”, with leaders from AT&T, Gartner, HP, IBM, Johnson & Johnson, Meta, NVIDIA, PwC, SAP, Siemens, Verizon, and many more. More than 80 issues published to date.

● Recognized for AI Leadership:
- Top 0.89% of Experts worldwide on LinkedIn (invited into Top Voice and Creator Accelerator Programs)
- Top 10 Thought Leader for Artificial Intelligence, Generative AI, Robotic Process Automation by Thinkers360
- Top 14 AI Influencer by The Futurum Group
- Top 50 Global AI Ambassador by SwissCognitive
- Top 200 Global Business & Technology Innovators by engatica
- Gartner Peer Community Ambassador 
- Harvard Business Review Advisory Council Member

Founder & Chief AI Strategist

West Chester University of Pennsylvania

● Taught “Introduction to Management Information Systems” MIS-300 to 35 undergraduate students, spanning modules such as Artificial Intelligence, Enterprise Resource Planning, Customer Relationship Management, Databases, Cybersecurity, Ethics, and more.

● Conducted a summer research project on incorporating Generative AI into the curriculum.

Adjunct Professor

Accelerated SAP’s position as the leader for Business AI through end-to-end marketing responsibility (acting as Chief Marketing Officer), contributing to 36% increase of SAP’s market cap in H1’24:
● Established SAP’s Global AI Marketing unit and drove enterprise-wide product marketing, vision, messaging & positioning, launches, and third-party event strategy for Business AI and AI copilot, Joule, with a global team of 10 product marketers.
● Defined and scaled integrated marketing strategy via corporate and field marketing, 7 CMOs, and analyst and public relations; strategically leveraged double-digit $MM marketing budget.
● Led Business AI messaging, presence, and execution of SAP’s marquee events; SAP Sapphire  (20k+ attendees), spanning 180+ AI-themed sessions, CEO & CTO keynote scripting, partner and product announcements, media news guide, show floor presence (booths, theaters, content), media and analyst interviews, digital presence refresh.
● Spearheaded AI partner marketing, including negotiating joint announcements, press releases, and launches with senior executives at Apple, AWS, Google, IBM, Meta, Microsoft, Mistral, and NVIDIA.
● Demonstrated traction in AI adoption via customer reference program, securing 7 public reference videos and 123 customer logos within the first 6 months (exceeded goal by 23%).
● Created top customer-facing assets, including sales decks (used by 25k+ sales reps), hero and demo videos (200k views of top 3 assets in H1’24), and digital presence sap.com/ai (organic visits: 500k+/mo., +34% QoQ; engagement: >15%).
● Defined SAP’s commercial model for Premium AI capabilities to double total addressable market (TAM) and led global sales enablement.
● Conveyed SAP’s value proposition in AI as an official spokesperson in dozens of media interviews (live and digital) and top-tier analyst briefings (e.g., Gartner, IDC), leading to increased media reach and recognition in analyst coverage.

Vice President & Head of Marketing  — Artificial Intelligence

Built and led AI Center of Excellence (CoE) within SAP's largest engineering unit (9,500 employees), embedding AI and automation into SAP's flagship products in alignment with President of SAP S/4HANA and Executive Board members:
● Created vision and mission for global organization to accelerate the coverage of AI in agile setup; led 55 product managers, data science experts, developers, consultants, and 3 managers.
● Partnered with product teams and customers to create portfolio of 190+ high-value use cases; delivered 3 AI use cases and proved out feasibility of 9 AI pilots; customers: Bayer, Steelcase, Trumpf.
● Grew SAP S/4HANA roadmap from 5 to 19 AI capabilities in year one and secured €2.3MM board-level funding to deliver on early proof points.
● Built multiplier network to create AI mindset for 20% of workforce via formal training, technology enablement, and hands-on workshops. Attendee rating of 4.5 out of 5 points on relevance and value.
● Presented vision for increasing AI-led business value in business processes in thought leadership sessions and analyst briefings; examples: SAP TechEd, Gartner & IDC briefings, and SAP user groups.

Vice President & Head of AI Center of Excellence, SAP S/4HANA Product Management

Led customer adoption of AI and process automation solutions from discovery to reference, contributing to $8.1MM revenue, leading a team of 6 solution managers in North America and Latin America:
● Accelerated pace of innovation at strategic accounts by developing innovation proposals in support of $500k revenue deals through 32 stakeholder interviews; examples: Merck & Co., ExxonMobil.
● Influenced product strategy for Chief Innovation Officer and SVP of Machine Learning through feedback from 34 senior executives by establishing customer advisory board with top 14 customers.
● Won first deal in region for early-stage product by demonstrating customer-first mindset during sales cycle and implementation, resulting in $170k revenue and go-live within 4 months.
● Advised senior stakeholders in 83 innovation projects with Fortune 500 customers by connecting technology portfolio to customers’ business outcomes, directly supporting $2MM pipeline.
● Built and enabled communities of multipliers to scale customer engagements and go-to-market.
● Inspired audiences of up to 500 as thought leader on AI by providing examples of business value.

Head of Solution Management — Americas, Artificial Intelligence

Prepared CTO/ Chief Business Officer for strategic customer meetings and aligned program objectives with key stakeholders:
● Represented C-level executive and aligned priorities with stakeholders, customers, partners, analysts, and the board, leading to effective execution of strategic meetings and follow-up of operational tasks.
● Generated impulses for corporate strategy incl. top 5 recommendations by gathering customer feedback on digital transformation of their businesses during on-site visits; customers: Walmart, ExxonMobil.

Customer Officer, Office of the CTO/ Chief Business Officer

Transitioned IT service management to external provider without business disruption in global team spanning North America, Europe, and Asia:
● Developed and implemented governance model for $17MM service transition program to external provider, leading to adoption of 4 additional services within 6 months of project start.
● Coordinated service level reviews with team of 23 professionals in 5 countries, resulting in implementation of corrective actions with supplier and in ensuring go-live on time.

Service Manager, Client Technology, Global IT

► Exclusive career development opportunity for SAP’s top-performers
Supported incubation of a new business together with customers and partners:
● Created value proposition statement and go-to-market strategy for on-premise private cloud-managed service by interviewing 5 pilot customers, directly leading to incubation funding by the CTO.
● Devised acquisition strategy to enhance HANA Enterprise Cloud portfolio. Final report characterized as "venture capital analyst" quality by Chief of Staff for HANA Enterprise Cloud.

Fellow, Business Development, HANA Cloud Computing

Introduced emerging technology into global IT landscape and processes together with global virtual team of 4 professionals in 3 countries:
● Delivered 50 applications within first year, exceeding goals by 20%. 
● Initiated collaboration with 3 development teams to virtualize SAP GUI and publish results as support notes, leading to consultation of 4 SAP customers on best practices; customers: Daimler, Petrobras.

Senior Global Service Owner, Client Technology, Global IT

Supported international business expansion through IT standardization, process automation, and end-to-end optimization of operations in Germany and the U.S.

Company: TechniData AG / TechniData America LLC; leading provider of environment, health, and safety solutions ($75MM in revenue), acquired by SAP in 2010. 
● Shared knowledge of process automation and structured analysis by mentoring 4 apprentices and 7 interns, recruiting 4 individuals full-time.
● Optimized support processes for business-critical systems with IT staff in North America and Asia, resulting in 12% increase of user satisfaction through training and standardized procedures.

Project Manager, Process Automation, Global IT

Andreas Welsch is an internationally recognized AI leader, advisor, and speaker known for helping the world’s leading enterprises turn technology hype into business outcomes.

He is the Founder and Chief AI Strategist at Intelligence Briefing. Most recently, in global leadership roles at SAP, he has advised Fortune 500 leaders on realizing business value from AI, accelerated the integration of AI across enterprise applications, and positioned SAP as the leader for Business AI. Before that, Andreas led global IT process automation projects. Outside of work, he contributes to academia as an Adjunct Professor at West Chester University of Pennsylvania and serves on the Editorial Board of the Journal of AI, Robotics, and Workplace Automation.

Andreas is a frequent keynote speaker and expert panelist, and has been named a LinkedIn Top Voice, Thinkers360’s Top 10 Thought Leader in Artificial Intelligence and Generative AI, The Futurum Group's Top 14 AI Influencer, SwissCognitive’s Top 50 Global AI Ambassador, and engatica’s Top 200 Worldwide Business & Technology Innovator. He is an active member of the Harvard Business Review Council and a Gartner Peer Community Ambassador.

Follow his “What’s the BUZZ?” live stream & podcast and newsletter, “The AI MEMO”, and work with Andreas to turn hype into outcome for your business: https://www.intelligence-briefing.com

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

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗺𝗼𝗱𝗲𝗹 𝗶𝗻 𝗮 𝗹𝗮𝗯 𝗶𝘀 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴. 

Scaling it across your entire business is another. It takes much more than a once-and-done project mindset. It takes productizing it. While that term can mean different things to different people, it's important to take a methodological approach. But where should you start? 

𝗦𝗿𝘂𝗷𝗮𝗻𝗮 𝗞𝗮𝗱𝗱𝗲𝘃𝗮𝗿𝗺𝘂𝘁𝗵 (Senior AI CoE Leader) joined me on “What’s the 𝘉𝘜𝘡𝘡?”. We discussed how leaders can scale enterprise AI products across the business.

𝗪𝗵𝗮𝘁 𝗲𝗹𝘀𝗲 𝘄𝗲'𝘃𝗲 𝘁𝗮𝗹𝗸𝗲𝗱 𝗮𝗯𝗼𝘂𝘁:
- Productize AI capabilities through a holistic approach from idea to improvement
- Raise awareness of the risks and nuances of deploying AI in the enterprise
- Decide when to use Machine Learning and Generative AI — individually and together
- Increase diversity on your AI product team for more inclusive results

𝗠𝘆 𝗸𝗲𝘆 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗮𝗿𝗲:
- Apply a product mindset to data democratization and AI productization in your organization
- Raise awareness for the risks associated with productizing AI, ranging from biases to permitted vs. prohibited use cases
- Celebrate and intentionally build diversity in your organization to build products that can be useful and acceptable by the different sections of society

Your model is just one piece of the puzzle. Productize it for maximum scale and impact.

Catch this episode of "What's the 𝘉𝘜𝘡𝘡?" via the links in the comments...👇🏻


𝗪𝗵𝗮𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗮𝗿𝗲 𝘆𝗼𝘂 𝘁𝗮𝗸𝗶𝗻𝗴?

#ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

Artificial Intelligence | Generative AI | Host of “What’s the BUZZ?” | Speaker | LinkedIn Top Voice

𝗧𝗵𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻 𝘁𝗼 𝗯𝗲𝗻𝗲𝗳𝗶𝘁 𝗳𝗿𝗼𝗺 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗿𝗮𝗱𝗮𝗿, 𝘆𝗲𝘁.

Generative AI helps Bid and Proposal Managers improve proposal quality, efficiency, and win rates. 

From automated content generation to summarizing key information, AI can streamline the proposal management workflow and free up valuable time. 

I'm looking forward to speaking at this year's conference of the Association of Proposal Management Professionals:  Winning AI24


𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗣𝗿𝗼𝗽𝗼𝘀𝗮𝗹 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: 𝗛𝗮𝗿𝗻𝗲𝘀𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜

This session will provide practical insights on implementing AI in your proposal process, balancing automation with human expertise, and staying ahead in an increasingly competitive bidding environment. Whether new to AI or looking to optimize your current approach, you'll leave with actionable strategies to elevate your proposal game.

Anyone who's ever created or responded to an RFI or RFP will appreciate getting a bit more help in the process.


𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗼𝗿 𝗮𝘂𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻? 𝗪𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝘄𝗲 𝗵𝗲𝗮𝗱𝗲𝗱?

#ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

It was one of those days today…

While traveling, I tried out a portable setup for “What’s the 𝘉𝘜𝘡𝘡?”. Green screen and all.

Because: Great conversations don’t take a vacation. 😉

Today, 𝗠𝗮𝗿𝗸 𝗕𝗲𝗰𝗰𝘂𝗲 (Independent Market Analyst) and I spoke about the Generative AI hype—and, looking at the latest hype cycle and Goldman Sachs reports, whether we’re already in the trough of disillusionment.

Mark had a number of thoughtful questions for me as well. So, this might be the most engaging episode, yet!


Let me know what you think. You know where to look. 👇🏻


𝗛𝘆𝗽𝗲 𝗼𝗿 𝗱𝗶𝘀𝗶𝗹𝗹𝘂𝘀𝗶𝗼𝗻𝗺𝗲𝗻𝘁? 𝗪𝗵𝗲𝗿𝗲 𝗮𝗿𝗲 𝘄𝗲?

#ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

📢 𝗣𝗦𝗔: 𝗘𝘃𝗲𝗻 𝗶𝗻 𝗵𝗶𝗴𝗵-𝘀𝘁𝗮𝗸𝗲𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀, 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗮𝗱𝗮𝗽𝘁 𝘆𝗼𝘂𝗿 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝘀𝘁𝘆𝗹𝗲.

Inspirational leaders understand that true influence comes from inspiring others to be their best selves, not from instilling fear. 

They:

𝟭. 𝗖𝘂𝗹𝘁𝗶𝘃𝗮𝘁𝗲 𝗧𝗿𝘂𝘀𝘁 within their teams, creating a foundation of respect and collaboration.

𝟮. 𝗘𝗻𝗰𝗼𝘂𝗿𝗮𝗴𝗲 𝗚𝗿𝗼𝘄𝘁𝗵 and foster an environment where individuals feel empowered to learn, grow, and reach their full potential.

𝟯. 𝗟𝗲𝗮𝗱 𝗯𝘆 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 with integrity, resilience, and a positive attitude, inspiring others to follow suit.

𝟰. 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗩𝘂𝗹𝗻𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆, connecting with their team on a human level, thereby creating deeper and more meaningful relationships.

𝟱. 𝗖𝗲𝗹𝗲𝗯𝗿𝗮𝘁𝗲 𝗦𝘂𝗰𝗰𝗲𝘀𝘀, fueling motivation and a sense of accomplishment rather than emphasizing punishment.

Let's strive to lead with empathy, positivity, and encouragement to create a following built on trust and admiration.

(And let’s leave ruling by fear in the history books and the Middle Ages…)


𝗪𝗵𝗶𝗰𝗵 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗰𝗼𝗺𝗲 𝘁𝗼 𝗺𝗶𝗻𝗱 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗼𝗳 𝗮 𝗳𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴?


#Leadership #IntelligenceBriefing

𝗧𝗵𝗶𝘀 𝗾𝘂𝗼𝘁𝗲 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 𝗺𝘆 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝘁𝗼 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽.

It’s easy to just focus on work and getting things done. 

But how you lead and communicate at work also impacts your team members’ lives outside of the 9-to-5.

Because as a leader, you don’t just manage projects or oversee tasks — you shape the experiences, growth, and futures of real people on your team.

True leadership is about:
• Nurturing potential
• Creating opportunities
• Fostering a culture of trust and respect
• Empowering others to reach their fullest potential

When you embrace this perspective, you transform your role from being a manager to becoming a true mentor and catalyst for positive change.

It’s the gravity of leadership beyond spreadsheets and slideshows.


𝗛𝗼𝘄 𝗮𝗿𝗲 𝘆𝗼𝘂 𝘀𝘁𝗲𝘄𝗮𝗿𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗹𝗶𝘃𝗲𝘀 𝗲𝗻𝘁𝗿𝘂𝘀𝘁𝗲𝗱 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗰𝗮𝗿𝗲? 


#Leadership #IntelligenceBriefing

𝗜’𝘃𝗲 𝗻𝗲𝘃𝗲𝗿 𝗺𝗲𝘁 𝗺𝘆 𝘁𝗲𝗮𝗺. 

(At least not all of them at once.)

What sounds like a nightmare to many leaders has been a gift to us.

I’ve worked in global, virtual teams for most of my career.

It’s different from having lunch together at the cafeteria, talking about weekend plans (and hanging out together). I remember those days from early in my career. 

But it also levels the playing field for everyone. 

And it’s on you as a leader to shape the culture together with your team. 

Because no one is together, everyone is together (virtually).

Because no one is excluded, everyone is included.


Do remote teams work? — Yes. In every sense of the word. 

But it takes regular communication and making an effort to stay in sync, and to help each other out.

What you’ll gain:
- Flexibility to hire for talent and passion (vs location)
- Diverse perspectives and experiences that make your team richer (vs group-think)
- Shared experience of mutual support (vs selective inclusion)

So, as you’re thinking about on-site vs. remote, keep these factors in mind. 


𝗜’𝗺 𝗰𝘂𝗿𝗶𝗼𝘂𝘀: 𝗙𝘂𝗹𝗹𝘆 𝗿𝗲𝗺𝗼𝘁𝗲 𝘁𝗲𝗮𝗺𝘀—𝗮 𝗴𝗶𝗳𝘁 𝗼𝗿 𝗮 𝗰𝘂𝗿𝘀𝗲?


#Leadership #Teamwork #IntelligenceBriefing

𝗛𝗼𝘄 𝗮𝗿𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝘂𝘀𝗶𝗻𝗴 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜?

There's no better place than Generative AI Week to find out!

With dozens of AI leaders across several industries sharing their learnings, you can expect tangible insights and actionable advice to incorporate into your AI program.

Top speakers include Cassie Kozyrkov, Matt Lewis, Stavros Zervoudakis, Rashmi Shetty, and many more. I'm looking forward to sharing what I learned about leading AI programs successfully as well.

Full agenda: https://lnkd.in/dFg47YKy

Join us in Atlanta, GA from Oct 7-9 for three days of top insights and networking.

Use code “SPEAKER10” for 10% off ticket passes! The SUPER early bird discount ends this Friday. Save $900 off your ticket here: https://lnkd.in/dx2bq_UM

I hope to see you there!


#GenAIWeek #GenerativeAI #AIEvents #MachineLearning #AIConference #ArtificialIntelligence #TechEvent #AICommunity

𝗧𝗵𝗲𝘀𝗲 𝟮 𝗿𝗲𝗽𝗼𝗿𝘁𝘀 𝘄𝗶𝘁𝗵𝗶𝗻 𝟮 𝗱𝗮𝘆𝘀 𝘀𝗲𝗲𝗺 𝗽𝗮𝗿𝗮𝗱𝗼𝘅.

Are we in an AI bubble?

Sequoia Capital: $600 billion annual revenue from AI needed to pay back investments in GPUs, data centers, etc.
-> Challenge: NVIDIA, Google, AWS, etc. combined make up just about $100 billion.
-> "GPU capex is like building railroads, meaning eventually the trains will come, along with the destinations." — Hmm... 🤔 

Crunchbase: Funding in AI startups has increased in Q2
-> 5 out of 6 billion-dollar funding rounds went to AI companies.
-> Yet, global funding declined 5% to $147 billion in H1'24, flat compared to H2'23.


My interpretation is this:

We are still in the early days of AI and Generative AI.
That means, yes, people need shovels and they need to start digging (IaaS).
And, yes, others build the railway system (PaaS).
But the railway companies will eventually sell tickets and bring in the revenue (SaaS).

...and that comes with a natural adoption lag.


𝗪𝗵𝗮𝘁 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸? 𝗜𝘀 𝗶𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗮𝘀 𝘂𝘀𝘂𝗮𝗹?

#ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

𝗔𝗿𝗲 𝘆𝗼𝘂𝗿 𝗣𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝗿𝗶𝗽𝗲 𝗳𝗼𝗿 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻?

Everyone talks about Sales & Marketing as the first business functions to derive value from Generative AI. It’s all about generating, personalizing, summarizing, and translating information. But what about business functions like Procurement? Contracts, RFIs, RFPs, purchase orders, tons of emails and the like provide plenty of opportunities for Procure-to-Pay (P2P) leaders to increase efficiency with the help of AI. 

𝗣𝗲𝗱𝗿𝗼 𝗕𝗲𝗿𝗿𝗼𝗰𝗼𝘀𝗼 (Digital Procurement & Automation Advisor) will join me on "What's the 𝘉𝘜𝘡𝘡?" and share where Generative AI really adds value in Procurement:
- What are the immediate opportunities for Generative AI in Procurement?
- What challenges should Procurement leaders expect when adopting Generative AI applications?
- Will we soon have AI agents that autonomously negotiate on behalf of a supplier and a customer?
- What can Procurement leaders do today to explore using Generative AI?

Join us to have your questions answered live.


“What’s the 𝘽𝙐𝙕𝙕?” is a show for leaders and hands-on practitioners. Learn from your peers how you can set up and scale AI & Generative AI programs in your company.

Together, let’s turn HYPE into OUTCOME! 👍🏻


𝗪𝗵𝗲𝗿𝗲 𝗱𝗼 𝘆𝗼𝘂 𝘀𝗲𝗲 𝘁𝗵𝗲 𝗔𝗜 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗶𝗻 𝗣𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁?


***********
𝘋𝘪𝘴𝘤𝘭𝘢𝘪𝘮𝘦𝘳: 𝘝𝘪𝘦𝘸𝘴 𝘢𝘳𝘦 𝘵𝘩𝘦 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘯𝘵𝘴’ 𝘰𝘸𝘯 𝘢𝘯𝘥 𝘥𝘰 𝘯𝘰𝘵 𝘳𝘦𝘱𝘳𝘦𝘴𝘦𝘯𝘵 𝘵𝘩𝘰𝘴𝘦 𝘰𝘧 𝘢𝘯𝘺 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘯𝘵’𝘴 𝘱𝘢𝘴𝘵, 𝘱𝘳𝘦𝘴𝘦𝘯𝘵, 𝘰𝘳 𝘧𝘶𝘵𝘶𝘳𝘦 𝘦𝘮𝘱𝘭𝘰𝘺𝘦𝘳𝘴. 𝘗𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘵𝘩𝘪𝘴 𝘦𝘷𝘦𝘯𝘵 𝘪𝘴 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘵 𝘰𝘧 𝘢𝘯𝘺 𝘱𝘰𝘵𝘦𝘯𝘵𝘪𝘢𝘭 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘳𝘦𝘭𝘢𝘵𝘪𝘰𝘯𝘴𝘩𝘪𝘱 (𝘱𝘢𝘴𝘵, 𝘱𝘳𝘦𝘴𝘦𝘯𝘵, 𝘰𝘳 𝘧𝘶𝘵𝘶𝘳𝘦) 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘵𝘩𝘦 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘯𝘵𝘴 𝘰𝘳 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘵𝘩𝘦𝘪𝘳 𝘦𝘮𝘱𝘭𝘰𝘺𝘦𝘳𝘴.

#ArtificialIntelligence #GenerativeAI #Procurement #IntelligenceBriefing

Pedro Martins, Lourdes Nuñez and 159 other attendees

Explore Generative AI In Procurement (Guest: Pedro Berrocoso)

𝗔𝗜 𝗺𝗮𝗸𝗲𝘀 𝘆𝗼𝘂 𝗺𝗼𝗿𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗲 — 𝗮𝗻𝗱 𝗹𝗼𝗻𝗲𝗹𝗶𝗲𝗿.

The side effects of using more and more AI in our work are just developing.

Emerging research paints a picture that every leader should become familiar with:

In fervor to keep pace with competitors and reap the efficiency gains associated with deploying AI, many organizations have lost sight of their most important asset — the humans whose jobs are being fragmented into tasks that are increasingly becoming automated.

If you want to make AI adoption projects successful and viable, you need to focus on humans first and AI second.

Studies consistently show that employees who feel socially connected and emotionally fulfilled at work are more engaged, productive, and committed to their organizations. [...] In contrast, employees who feel isolated and disconnected are more prone to burnout, absenteeism, and turnover.


To navigate the challenges and opportunities of AI in the workplace for employees, business leaders must balance the drive for efficiency with a deep commitment to employee well-being and social cohesion. Here are some key steps they can take:

𝟭) 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝘄𝗲𝗹𝗹-𝗯𝗲𝗶𝗻𝗴
How: Surveys, check-ins, and feedback sessions; measure employee engagement, job satisfaction, and perceived social support

𝟮) 𝗥𝗲𝗱𝗲𝘀𝗶𝗴𝗻 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀
How: Adopt a deliberate, human-centric approach to AI implementation; redesign workflows around the unique strengths of both humans and machines

𝟯) 𝗧𝗵𝗶𝗻𝗸 𝗼𝗳 𝗔𝗜 𝗮𝘀 𝗮 𝘁𝗼𝗼𝗹
How: Enhance the human experience at work through AI systems; create dedicated spaces and times for employees to connect face-to-face


Accounting for the social costs when looking at the efficiency gains of AI implies that instead of treating AI as a way to replace human workers, it needs to be looked at as a tool capable of augmenting human potential and skills.


𝗔𝗿𝗲 𝗺𝗼𝗿𝗲 𝗱𝗮𝘆𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗼𝗳𝗳𝗶𝗰𝗲 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗰𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗲 𝘄𝗲𝗹𝗹𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝘀 𝘁𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗵𝗲𝗿𝗲?


Source: https://lnkd.in/dBiEbCKe

#ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

𝗬𝗲𝘀𝘁𝗲𝗿𝗱𝗮𝘆’𝘀 𝗴𝗹𝗼𝗯𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝗲𝘁 𝗼𝘂𝘁𝗮𝗴𝗲 𝗵𝗮𝘀 𝘀𝘂𝗿𝗳𝗮𝗰𝗲𝗱 𝘁𝗵𝗼𝘂𝘀𝗮𝗻𝗱𝘀 𝗼𝗳 𝗻𝗲𝘄 𝗤𝗔 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀!

(…on Social Media.)

The real lessons behind it are the ones you won’t forget. Most developers can tell you a story of their own:

About 20 years ago, I was responsible for automatically upgrading Adobe Acrobat on our company’s PCs. 

My first big project. Fresh out of school.

Uninstall version 5.0 and install 6.0 + a few patches.

It worked like a charm—on my clean Windows XP box.

But shortly after the update was being deployed in production, the calls started coming in.

The old version was removed, but the new one didn’t install properly. 

Executive admins could no longer create PDFs. No contracts. No invoices. No nothing.

Just a manual installation fixed it—on two dozen systems. 

I got to meet a lot of new colleagues that week and learned an important lesson:

Always do your regression testing—on systems that mirror production.

What was critical then will only be more critical when decisions are automated with AI, agents are acting on our behalf, and it all depends on messy data in decades-old systems. 


𝗔𝗹𝘄𝗮𝘆𝘀 𝗱𝗼 𝘆𝗼𝘂𝗿 𝗿𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻 𝘁𝗲𝘀𝘁𝗶𝗻𝗴…𝗮𝗹𝘄𝗮𝘆𝘀. 


#ArtificialIntelligence #MachineLearning #GenerativeAI #IntelligenceBriefing

𝗛𝗮𝗽𝗽𝘆 𝟰𝘁𝗵 𝗼𝗳 𝗝𝘂𝗹𝘆!! 🇺🇸🎆

Celebrate with the latest insights from Data & AI leaders:
- “What’s the 𝘉𝘜𝘡𝘡?” podcast: https://lnkd.in/dqJEuMVZ
- “The AI MEMO” newsletter: https://lnkd.in/dqG9-zb5

🎙️  𝗡𝗘𝗪 𝗣𝗢𝗗𝗖𝗔𝗦𝗧 𝗘𝗣𝗜𝗦𝗢𝗗𝗘: 𝗧𝗵𝗲 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗮𝗿𝗲 𝗰𝗼𝗺𝗶𝗻𝗴!

Just like having personal assistants, AI agents will help us organize our day, answer more complex questions about the current state of our business, and connect workflows across multiple systems. Sounds too good to be true?

𝗝𝗲𝗿𝗲𝗺𝘆 𝗥𝗮𝘃𝗲𝗻𝗲𝗹 (Founder of naas[dot]ai) joined me on “What’s the 𝘉𝘜𝘡𝘡?”. We discussed how leaders can build AI agents for business with a mixture of assistants.

𝗪𝗵𝗮𝘁 𝗲𝗹𝘀𝗲 𝘄𝗲'𝘃𝗲 𝘁𝗮𝗹𝗸𝗲𝗱 𝗮𝗯𝗼𝘂𝘁:
- Learn why businesses need a specialized kind of intelligence
- Assess when are agents useful in business
- Enhance AI apps with knowledge graphs

𝗠𝘆 𝗸𝗲𝘆 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝘀 𝗳𝗿𝗼𝗺 𝘁𝗵𝗶𝘀 𝗲𝗽𝗶𝘀𝗼𝗱𝗲 𝗮𝗿𝗲:
- Be skeptical about the output that LLMs create
- Map your internal knowledge with a knowledge graph to make it accessible to LLMs and AI agents
- Describe your business in processes and workflows to spot potential areas for using AI agents

What sounds like it is years away is already here. So, it's a good time to learn about the concepts and prepare.

Catch this new episode tonight on the "What's the 𝘉𝘜𝘡𝘡?" podcast...👇🏻


𝗪𝗵𝗮𝘁 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸? 𝗛𝗼𝘄 𝗺𝗮𝗻𝘆 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 𝘄𝗶𝗹𝗹 𝘄𝗲 𝗵𝗮𝘃𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲?

#ArtificialIntelligence #MachineLearning #GenerativeAI #DigitalTransformation #IntelligenceBriefing

"𝗔𝗜 𝗶𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝘁𝗮𝗸𝗶𝗻𝗴 𝗮𝘄𝗮𝘆 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀!"

A few weeks ago, I attended SAP’s annual conference in Orlando. Naturally, AI was the talk of the town. During a reception in the evening, I had a conversation with a sketch artist while he was drawing my sketch.

We started talking about AI.

Although he had never used any of the Generative AI tools, he was wehemently against them. They're already taking away business, he shared. (You should read the full dialog...)

So, I wondered what the value of human skills is in an abundant world of AI.

In many ways, the first wave of Generative AI scenarios is the equivalent of the mass-market digital watch, democratizing access to productivity. 

But the value of a Swiss watch does not come from it telling the time. It’s the value of human ingenuity and the products' reliability. They are sold at a premium. 


Will we see the same happen for content and works of art that people create?

Maybe human skill, original ideas, and creativity will be valued again—and maybe even higher than today. Maybe we will want a human to write or create certain things, because it’s not a rinse and repeat of what someone else has already done.

Until then, though, I personally see more upside in using AI than pivoting away from it.

But I respect a principled “I don’t want to use it.”


𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗮𝗱𝗱𝗿𝗲𝘀𝘀 𝘀𝗸𝗲𝗽𝘁𝗶𝗰𝗶𝘀𝗺 𝘄𝗵𝗲𝗻 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗻𝗴 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗽𝗲𝗼𝗽𝗹𝗲 𝗼𝘂𝘁𝘀𝗶𝗱𝗲 𝘆𝗼𝘂𝗿 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆?


#ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

𝗧𝗵𝗶𝘀 𝘀𝗲𝗻𝘁𝗲𝗻𝗰𝗲 𝗶𝘀 𝗮𝘀 𝘁𝗼𝘂𝗴𝗵 𝘁𝗼 𝘀𝗮𝘆 𝗳𝗼𝗿 𝗺𝗮𝗻𝗮𝗴𝗲𝗿𝘀 𝗮𝘀 𝗶𝘁 𝗶𝘀 𝘁𝗼 𝗵𝗲𝗮𝗿 𝗳𝗼𝗿 𝘁𝗲𝗮𝗺 𝗺𝗲𝗺𝗯𝗲𝗿𝘀:

“I can’t promise anything, but I’ll try.”

Often enough, a manager will tell you that to buy time or to postpone your request to a later time. 

A new responsibility. A raise. A promotion.
Whatever it may be.

But more of than not, a manager 𝘸𝘰𝘶𝘭𝘥 like to support you. But they can’t decide it alone, without first getting their manager’s buy-in or budget.

And that’s what makes it so hard as a manager.

Depending on your manager’s span of control, they might not know your team member or might not have worked with them. So, you need to build a case—and that takes time.

(And in the mean time, your team member wonders if you’re stalling them…)

While the outcome of “…but I’ll try” is uncertain, it is important that you do (try) as a manager when you have the chance.

Your team members will recognize your effort and keeping your word.


𝗦𝗵𝗼𝘂𝗹𝗱 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗺𝗮𝗸𝗲 𝗽𝗿𝗼𝗺𝗶𝘀𝗲𝘀 𝗹𝗶𝗸𝗲 𝘁𝗵𝗮𝘁? 

#Leadership #Promise #IntelligenceBriefing

𝗪𝗵𝗮𝘁 𝗽𝗶𝘇𝘇𝗮 𝗮𝗻𝗱 𝗰𝗵𝗲𝗲𝘀𝗲 𝘁𝗲𝗮𝗰𝗵 𝘂𝘀 𝗮𝗯𝗼𝘂𝘁 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆:

LLM providers have been training their models on public data, for example from Twitter and Reddit, leading to concerns over the contents they’ve learned from. 

So, they have been striking licensing deals with content providers to get access to their data — and that creates new challenges.

Datasets obtained from the public Internet contain false information, sarcasm, and potentially harmful content. 

Given that Generative AI, unlike humans, has no understanding of common sense and nuance, this can backfire quickly.

An AI-augmented Google search has recently recommended: adding non-toxic glue to your pizza to prevent the cheese from sliding off. (Don’t try this at home.) 

The Internet has traced the information back to a decade-old thread on Reddit that the model has presumably processed and incorporated into its AI-generated output.

Think about autonomous agents that will book your travel, negotiate a contract with your supplier, or provide information about your products, parts, and warranties.

Mishaps for any of these examples due to bad data can have a real impact on your business — from ending up in the wrong location at the wrong time to overpaying, causing damage to your customers’ assets, and more.

Spending extra effort to review, clean, and correct your datasets remains key. So does attributing generated information to the exact source document or dataset.

That way, your users have a reference point to verify if the generated output is actually correct.

Otherwise, you might end up with the equivalent business outcome of suggesting to add glue to prevent cheese from sliding off of your pizza. A sticky situation.


Read the article 👇🏻 for the full details and get the next one in your inbox tomorrow.


𝗜𝘀 𝘁𝗵𝗲 𝗼𝗹𝗱 𝘀𝗮𝘆𝗶𝗻𝗴 𝗲𝘃𝗲𝗿 𝗺𝗼𝗿𝗲 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁?
—> “𝘋𝘰𝘯’𝘵 𝘵𝘳𝘶𝘴𝘵 𝘦𝘷𝘦𝘳𝘺𝘵𝘩𝘪𝘯𝘨 𝘺𝘰𝘶 𝘳𝘦𝘢𝘥 𝘰𝘯 𝘵𝘩𝘦 𝘐𝘯𝘵𝘦𝘳𝘯𝘦𝘵.”

#ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

𝗗𝗲𝘀𝗽𝗶𝘁𝗲 𝘁𝗵𝗲 𝗔𝗜 𝗵𝘆𝗽𝗲, 𝗰𝗼𝗿𝗲 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗿𝗲𝗺𝗮𝗶𝗻 𝘂𝗻𝗰𝗵𝗮𝗻𝗴𝗲𝗱.

And that quickly becomes a problem for new leaders unaware of the legacy.

While technology evolves rapidly, human concerns and organizational goals do so more slowly.

AI leaders can navigate this complex landscape by maintaining perspective. This involves recognizing that not every new technological trend warrants immediate attention. It ensures that technological adoption is both strategic and sustainable, aligning with the organization's core objectives and long-term goals.

Generative AI has sparked a wide range of reactions, from boundless enthusiasm to apocalyptic fear. But more often than not, the consensus is clear: AI is inevitable and poised to be one of the most transformative technologies in recent history. 

However, this transformative power comes with significant responsibilities and challenges.

A new role in the enterprise that will lead this rapid advancement of AI is the Chief AI Officer (CAIO). This position highlights AI's importance as a transformative force in business. Unlike Chief Data Officers (CDO) who focus on data governance, the CAIO oversees AI initiatives, ensuring ethical implementation and alignment with business goals.

The CAIO fosters a culture of AI, promotes AI literacy, and aligns AI projects with strategic objectives. Working closely with other C-suite executives, the CAIO integrates AI with digital transformation efforts. Ethical implementation is crucial, involving guidelines for responsible AI use, addressing algorithm biases, and ensuring regulatory compliance.


𝗗𝗼𝗲𝘀 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗵𝗮𝘃𝗲 𝗮 𝗱𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝗖𝗵𝗶𝗲𝗳 𝗔𝗜 𝗢𝗳𝗳𝗶𝗰𝗲𝗿, 𝘆𝗲𝘁?


PS: Read the article 👇🏻 for the full details and sign up to get the next one in your inbox tomorrow.

#ArtificialIntelligence #Leadership #GenerativeAI #Data #IntelligenceBriefing

𝗜𝘀 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗮 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 𝘀𝗸𝗶𝗹𝗹𝘀𝗲𝘁?

According to the latest reports, it’s still in hot demand, despite the labor market cooling off. 

Having explored the topic in recent months myself, I was excited to share my perspective with PYMNTS for this article… 👇🏻

Good prompt engineers know four things extremely well:
- Which model to use for the task
- What is the transactional cost of their AI use case 
- Which prompting technique to use for a given task
- What sequence of words to use in order to elicit specific, safe output with the least amount of tokens

Good prompt engineers are also like your innovation insurance policy:
They “know how to put safeguards in place to guide and evaluate LLMs. This is critical in enterprise environments and customer-facing scenarios where any missteps by the underlying LLM can result in a PR debacle.”

Even if the market cools off, prompt engineering skills will be a hot skill for the time being, and a skill worth to be developed further.


𝗪𝗵𝗮𝘁 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗱𝗼 𝘆𝗼𝘂 𝘂𝘀𝗲 𝘁𝗼 𝗮𝗱𝘃𝗮𝗻𝗰𝗲 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴?


#ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

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