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AgileGTM

Founder & Principal Product Manager

Shell

2020: (Netherlands): Shell Strategy Reshape 
Led the development & definition of the operating model of Shell’s information & digital organization, focusing on the roles, responsibilities, & job descriptions of the Product Line Manager, Product Manager, Product Owner, & Data Owner, as part of Shell’s re-organization to operationalize Shell's Digital Strategy. 

2019-2020: (Netherlands): Asset Information Factory Data & Analytics 
Led the product development of the Shell Upstream & Integrated Gas data & analytics platform (Azure, SAP HANA, Databricks, Python, R, Alteryx, PowerBI, PowerApps)

2017-2018: (Netherlands, UK, Malaysia, India, USA): Global End-User Services Supplier & Contract Transition & Transformation
Led the transition & transformation of the end-user services contract & operational accountability from DXC to TCS, covering Onsite Support Services, Workspace Services, & Service Desk

2015-2017: (UK): Global Microsoft O365 SharePoint Online Transformation 
Led the strategy, planning, & execution of the enterprise migration to O365 SharePoint Online, supporting the O365 vision of moving towards cloud & market services at optimized price point & enabling collaboration with internal & external users across multiple devices & platform. 

2013-2014: (Netherlands): Global Livelink to Microsoft SharePoint Migration 
Led the enterprise migration from Livelink to SharePoint, enabling the successful migration of Shell businesses to SharePoint & realizing information foundation value to support future innovation & cost savings

2007-2012: (USA) Upstream Americas IT
- Led the IT transition & integration related to the Chesapeake Permian, East Resources, Duvernay acquisitions. 
- Delivered the commercialization of Unconventionals Divestment Projects 
- Led various cycles of hydrocarbon accounting system upgrade to ensure SOX-compliance & asset integrity
- Led the implementation of information risk management & IT service management

Global Product Line Manager

Sun Microsystems

Led the delivery of several global commercial software product releases of Java Enterprise System (JES), Sun’s flagship product, through partnership and collaboration with diverse and global (India, US, Canada) product engineering and functional teams. Led the customer engagements and product demonstrations.

Principal Product Manager

Netscape Communications

Led the innovative web-based and e-commerce product and application deployments, most notably Toshiba Smart Commerce Japan (in partnership with IBM, VISA and CyberCash) – first automated e-commerce site, Nike, Bank of America, Travelocity, and Chrysler. Led the customer engagements and facilitated the sales capture process by delivering product presentations, demos, and transfer of information.

Software Engineer

Accenture

Deployed business applications and systems integration for various clients, most notably Pacific Gas and Electric (California), San Miguel Corporation (Philippines), and Insular General Insurance Corporation (Philippines)

Software Developer

AI Business Technologist | AI Product Manager | Microsoft Certified AI Professional | Microsoft AI Cloud Partner | Generative AI | Predictive AI | Data Science | Machine Learning | Deep Learning

I am an AI product manager and strategist with over 20 years of experience in technology and business leadership. As the founder, CEO, and CTO of AgileGTM, I provide AI thought leadership, strategy consulting, and engineering for digital and agile transformations. I am also a Harvard Business Review advisor, sharing my insights and perspectives on AI, data, and analytics with global audiences.

My mission is to help clients across various industries harness the power of AI, data, and analytics to solve complex problems, create value, and drive growth. I leverage my expertise in Microsoft Azure AI, OpenAI, generative and predictive AI, machine learning, deep learning, design thinking, and user experience design to deliver innovative and impactful AI products and services. I also collaborate with C-level executives, business leaders, and cross-functional teams to align the product vision, strategy, portfolio, and roadmap with the organizational purpose, mission, and strategy.

This week at #GoogleCloudNext, the world's leading organizations showcased how they're already using Google's AI solutions to enhance their work. Check out this list of 101 real-world gen AI use cases ↓

Ethel Emmons

cloud.google.com • 2 min read

101 real-world gen AI use cases from the world's leading organizations | Google Cloud Blog

BREAKING: Google's takes on ChatGPT with AI Agents
 
(this will 100x your productivity)
 
While Open AI is still only in announcement mode…
Google Cloud's Vertex AI Agent Builder is here.
AI agents are entering the hands of all.
 
Empowering everyone to do more with less.
 
→ Customer Agents
Listening carefully, understanding needs, recommending products, and working across different channels.
Mercedes-Benz's integration of these agents into their cars for a more personalized user experience is a prime example.
 
→ Employee Agents
Aim to boost productivity by automating repetitive tasks.
Uber's utilization of these agents has shown improvements in both developer productivity and customer support.
 
→ Creative Agents
Set to transform content creation by assisting marketing and design teams.
Carrefour's marketing studio and Google's new app, Google Vids, for generating videos effortlessly.
 
→ Data Agents
Data analysis is more efficient and actionable by unlocking insights from vast data pools.
Google's enhancement of its BigQuery service with AI capabilities.
 
→ Code Agents
Enable developers to understand and navigate codebases more efficiently, which speeds up the development process.
 
..........................................................................
What does this mean for B2B Marketing:

HiveGPT The AI Agent swarm for B2B Marketing.

1: Content Development: 
 ↳ Creative Agents can develop engaging content efficiently, on trends and audience interests. The Human in the Loop (HITL) can curate and finalize.

2: Personalized Landing Pages: 
 ↳ Customer and Data Agents collaborate to customize landing pages in real-time based on visitor signals, enhancing user experience and conversion rates.

3: Bespoke Events: 
 ↳ Employee and Creative Agents automate event logistics, create unique content, personalized networking and solve support issues in real-time.

4: Lead Curation: 
 ↳ Data Agents identify high-quality leads while Customer Agents engage them with tailored communication, focusing efforts on hot prospects.

5: Meeting Setup: 
 ↳ Employee Agents automate scheduling and follow-ups, allowing sales teams to focus on preparation and engagement, streamlining the sales process.

…………………………………………


AI presents both opportunities and challenges 👀
 
During the Main Insight Event DACH, industry expert Rob Elsinga emphasized how AI is disruptive across all industries. He predicted that, by 2025, 90% of all applications will be infused with AI.

In these phases of AI implementation for enterprise software companies, he also stressed the importance of knowledge mining: "It's crucial for organizations to operate within compliant environments and adhere to the same regulations, particularly in terms of identity management and data protection. These privacy issues should be regulated and managed by separate teams within the organization."
 
Bottomline: AI streamlines business processes, but needs regulated guidance.

How does this resonate with you? Share your thoughts and let’s continue the dialogue! 💡

#MainInsight

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