Jeff Frick

Menlo Creek Media

Please visit www.MenloCreek.com for a more comprehensive list of services and resources. 

Helping Leaders, Marketers, and Communications professionals navigate and leverage an AI driver asynchronous world. 

Host of 'Work 20XX'  with Jeff Frick show on the Future of Work 
Host of 'Turn the Lens' with Jeff Frick on Leadership and of other topics of interest.

Founder & Principal

A show focused on the future of work as we continue to navigate through the most dynamic period of our lifetimes.

Host - Work 20XX Podcast on the Future of Work 

Facilitating the spread of best practices, insight, learning, and wisdom. Nuggets of knowledge gleaned by listening to smart people.

Host - Turn the Lens Podcast 

SiliconANGLE Media, Inc.

theCUBE is the leading interview format show covering enterprise tech and innovation. We cover 100+ events & interview 1,200+ guests per year. We host the people who are creating, taking to market, and implementing the innovations that are changing our world.

General Manager, Executive Producer, Host - theCUBE

Menlo Creek Group

Providing planning and execution services in a number of functional areas focusing on sales, business development, marketing, product management, and product marketing. 
Engagements are usually structured around an acting executive position, or consultant. 

Sample engagements include:


ReadyToPlay, Inc.
Sales, Business Development and Marketing

Farallon Manufacturing, Inc
Executive Management, Sales, Business Development, Marketing, Product Management

Markwood Capital Alliance
Sales, Business Development, Finance

LEK 
Strategy consulting

Principal

CustomWare Asia Pacific

Enterprise Software Services sales, built around Atlassian Suite (JIRA, Confluence, etc.)
Services included best practices consulting, integration, migration, configuration, customization, training, and support.

Account Executive

VideoCocktail / FlixMonkey

Powerful online video platform, slightly ahead of its time.

Co-Founder
product management, marketing, marketing, evangelism, sales.

Co-Founder

Asera

KP funded B2B sales & channel management platform, Cisco Connection online using best of the web.

Business Development  
Director - Global Accenture Alliance, ISV partnerships, Net Makets

Director, Business Development

Pandesic, LLC

Intel/SAP Joint Venture - BtoC eCommerce SaaS platform based on SAP R3

Business Development, managing ISV and System Integrator relationships.
Also supporting product management, marketing, and sales.
Evangelism and outreach.

Manager, Business Development

Intel

Worked on the Intel IA-64 team - Itanium, Intel's first 64 bit Microprocessor.

Account Management - Responsible for IA-64 (Itanium) processor based design wins at workstation and server OEMs
Accounts included IBM, Dell, Hitachi and Toshiba.

Product Marketing Engineer, Microprocessor Products Group

Mitsubishi Consumer Electronics

Sales - Account Management
Managed Largest Sales Territory and Account in the US. 
Accounts included Macy's, Good Guys, Frys, Anderson's TV.

I am not telling you something to sell you something. I am sharing something to entertain, educate, and get you to stop and think for a minute. | Top Voice | Friday Five | Turn the Lens | Work 20XX

With over 30 years of experience in the media industry, I am a podcast host and a media entrepreneur who is passionate about the future of work, leadership, and innovation. I have founded and led Menlo Creek Media, a company that helps leaders, marketers, and communications professionals navigate and leverage an AI-driven asynchronous world, by offering executive training for podcast hosts and guests, content creation and media library curation and amplification programs, and community development programs.

I also host two podcasts, Work 20XX and Turn the Lens, where I facilitate the spread of best practices, insights, learning, and wisdom on topics that matter to the modern workforce and society. I aim to be a trusted source of information and inspiration for my listeners, by featuring smart and diverse guests, engaging in lively and thoughtful conversations, and sharing nuggets of knowledge. My goal is to help people get more impact with their communications and content investments and to empower them to thrive in a time of rapid change and uncertainty.

Dataception Ltd

Creator of the Data Product Pyramid solution which enables self-service, collaborative creation, distribution and consumption capability of Data Products for Enterprises. Data Products are Big Data applications, ML models and BI Dashboards etc... it is delivered on hybrid on-demand cloud platform Jon has designed and coded a lot of himself. 

The solution has a platform that employs technologies such as Python/R ,Spark, Tableau and utilises native cloud (AWS, Azure and GCP) and Kubernetes (Openshift). The architecture was used to create a large-scale multi-tenant Big Data / ML platform for retailer and manufacturer, Lego, for their cross business analytics function.

Chief Technology Officer & Founder

Data Science Partnership

At Data Science Partnership I advised CDOs and Data leaders on adopting data strategies including Big Data / Data Science and Artificial Intelligence to embed insight as the foundation for decision making for their business.

Chief Data Officer

Databricks

Lead the EMEA Solution Architecture team for Databricks (the company that founded Apache Spark). Helping customers implement Big Data/ AI solutions with Databricks’ AI/Big Data platform (based on Apache Spark) on AWS & Azure.

Senior Director of Field Engineering, EMEA

PwC UK

Lead PwCs UKs FS Consulting’s Big data and analytics group, specialising in cloud applications, AI / ML and Big Data

Director - FS Consulting Big Data Lead

Lead GFTs Big Data Practice – Building end-to-end client solutions and creating capabilities in Data Architecture/ Data Governance / Data Science and Big Data including white papers.

Head of Data Science and Big Data Specialist

Rule Financial (Part of the GFT Group)

Running a team of specialists that create market leading solutions with capability around the following:
• Industry-leading Data driven architecture and solutions including state of the art in-memory MI and analytics platforms
• Defining big data architectures and technology stacks 
•Sector Specialised technical development expertise leveraging NoSQL databases  
• Data calculation engines – Creation of computing platforms to enable the processing of huge• volumes of data

Responsibilities include:
• Managing a team of Financial Services and BigData technical Specialists.
• Managing the day to day P&L of the practice.
• Creating and selling thought leading practice based propositions
• Creating thought leading white papers around BigData and Analytics

Responsibilities include:
• Managing a team of 30 Financial Services and BigData technical Specialists.
• Managing the day to day P&L of the practice.
• Creating and selling thought leading practice based propositions
• Creating thought leading white papers around BigData and Analytics

Head of Development Practice

Strategic initiatives include:
•	Defining the data and technical approach for BCBS239 - Effective Risk Data Aggregation And Reporting for Rules Risk Practice
•	Implementing a Data Strategy for a Wholesale Risk business 
•	Working with a Tier 1 Banks Enterprise Architecture group to help define the global data distribution mechanism 
•	Developed based Risk MI capability for Rule based on Hadoop , Cassandra and Acunu real-time analytics.
•	Market and Trade Data Fabric platform based on Coherence
•	Delivery on a white papers on Data fabric platforms and strategy 
•	Part of the team delivering a Big Data capability for Collateral Optimization based on real-time Analytics

The specific projects that Jon has been the project Solution Architect on include:  

•	Operations Enterprise BI/MI Data Initiative
Platform providing real-time BI/MI core Operations functions across 25 different business lines (e.g. Settlements, Regulatory Reporting, Confirmations, KYC) and 450 different systems. Jon's role includes: Defining the data strategy (models, data life-cycle taxonomy, on-boarding, data mart, staging and ETL), defining the data quality mechanism and standards, architecting the platform (including: technology selection, system, integration and data architecture) and defining the interfacing standards and approach. 

•	Wholesale Risk Business Data Strategy and Platform
Whole Risk business (including Investment bank, Wealth and Corporate) large scale (200Tb, 800 integration points) data platform for storage and servicing of full Market and Credit Risk Lifecycle – Sanctioning, RWA, DVA,CVA, Reporting,  BASEL III, VaR, PFE/EE/Stressed EE data. 

•	Global golden source Reference Data Platform and Strategy. 
Jon's architecture provided counterparty/legal hierarchy web and messaging interfaces for a portfolio of systems across the whole enterprise. Global Reference Counterparty data including hierarchies, SSIs, with MDM, On-Boarding and KYC business processes.

Principal Consultant

Jon’s has been the Architect on a variety of projects across the Global Markets business and also been part of or driven a number of strategic in-flight initiatives that are helping drive the Global Markets technology strategy for numerous Banks. Jon’s day-to-day functions are very diverse, from defining I.T. strategies to producing the architecture for Multi-million dollar projects to coding components directly.

Strategic initiatives:
•	Global Markets Middleware strategy including: Architecture, SDLC, governance,team structures
•	The Global Markets Technology operating model i.e.  Global Markets delivery, architectural Governance/support existing new platforms.
•	Driving out the Institutional/Enterprise Architecture standards and appropriate technology
•	Tactical/strategic remediation Murex stabilisation

Projects
•	Enterprise Global data fabric for Trade/Market data for the whole Investment bank to use globally
•	Leading the creation and development of an Enterprise data fabric based on GemFire for trade and Market Data for the use of the whole Global Markets business
•	FX Based Margin trading platform (FX/Commodities)
•	Implementation of the Dodd Frank regulations to the OTC Derivatives platform for Swaps in the Fixed Income business.
•	Global Markets Portal (GMP) – Global Markets e-commerce offering 
•	Warrants platform (Horizon Market Maker) used by the Equities Derivatives desk based in Hong Kong

Solutions Architect

Rule Financial

Strategic initiatives:
•	Enterprise Architectural Governance around TOGAF
•	Creation of an Agile based SDLC based on EssUP
•	Delivery on a white paper on Data fabric strategy
•	Assistance of the set-up of a near-shore Support capability for Rule Financial
•	Extensive pre-sales engagement and involvement in the Sales life-cycle
•	Development of propositions and Sales collateral

Specific projects:
•	Architecting a cross Asset Class derivatives market Data System that is used in a Tier 1 bank across the whole of the Businesses.
•	Leading a 27 Million Euro Front-to-Finance business change initiative for a Dutch based bank based.  
•	Architecting an implementation of a new front-office electronic trading system for a joint venture between Morgan Stanley/Goldman Sachs/Merrill Lynch trading in Exchange traded funds (ETFs). 
•	Developing, designing and implementing a FIX 4.2 based DMA capability
•	Managing a large team (including architectural and development responsibilities), that implemented a cross asset derivatives pricing and trading system for the front-office of a tier-one Investment Bank. 
•	Architecting a Counterparty golden source system for an entire Tier 1 Investment bank. 
•	Implementation of two financial payment systems for two tier-one Banks.

Principlal Consultant

Iona

This role involved using Agile methodologies to develop multiple SOA based solutions using a leading Enterprise Service Bus (ESB) for blue chip organizations. In this role I delivered many projects using the above technologies. One project was for a financial services company building a system framework integrating a Web Services stack with Spring/Nano/Pico containers and a Hibernate persistence layer. Another was producing a prototype of an application using Java Server Faces, Tangasol Coherence and AJAX (full SDLC with UML).

Galileo (CendantTDS)

A very high profile regional Lead Systems Architect position. Responsibilities included architectural  accontability for all IT projects carried out by a very large Global Travel Conglomerate ( Cendant TDS ). The role was created to promote good architectural practice in the region and to be a conduit for a Service Orientated Architecture global strategies.

Asia Pacific Systems Architect

Business Data Products | Data Product Storytelling | Data Product Pyramid | Data Product Marketplace

Ask me about delivering the Data Product Pyramid, a solution that uses generative AI and advanced analytics with technology approaches such as Data Mesh and Data Fabric to deliver the “Composable Enterprise”: a low friction, adaptive eco-system of re-configurable data products that runs at the speed of the business.

This includes 
1- Using LLMs/AI to create advanced analytical and Data Products in reconfigurable eco-system
2- Creating a Lingua-Franca that allows business teams to communicate analytics asks with data and tech teams.
3- Creating an Adaptive Business Strategy - The business strategy can start small and evolve and adapt as the business changes.
4- Implementing as a rapid delivery, highly valuable data and analytic use-cases as Data Products
5- Creating A portfolio of actual and specific real world Data Products that can used and re-used across the business.
6- Creating a Data Product Marketplace where internal and external customers can create, prototype, search and use data products, including: Datasets, ML Models, BI Dashboards, Graph analytics
7- Creating hybrid cloud polyglot data infrastructure to deploy Data Products

Jon Cooke

Sooo I'm having a crack at the dreaded KYC process with AI and trying to avoid the Parcha problem.

If you haven't read "Agents aren't all you need" then I would definitely suggest you do, as it really hones in on the challenges of using Agents for these types of use cases.
(Link in comments)

Their key findings were:
• Unpredictability: Every run creates a different path, making failures impossible to predict or prevent.

• Complex Interdependencies: One error cascades through the entire system like dominoes falling.

• Artificial Performance Bottlenecks: Parallel tasks wait in line because the agent keeps checking its notes.

• Evaluation Challenges: When everything changes every time, you can't tell what broke or why.

It made great reading, but I didn't really appreciate it until I started building their actual use case.

What I've found is, there are a lot of moving parts - e.g., complex chains of authorizations, complex interactions with 3rd parties, lots of steps and decision points.

But I estimate that approximately 70-80% of the processes are linear and static, so I can totally understand the challenges they surfaced.

But that doesn't mean we can't use AI to massively re-imagine the flows and use models for key parts of them

e.g., All the document extraction, classification and scoring, impact assessment, speech-to-text for customer interaction, SLA forecasting, and so on.

This sooo suits the AI Digital Twins on Nebulyx AI:

No we can use Agents, but for this use-case we need to address Parchas key challenges:

• Predictable: AI generates pyramids as flows (Data Object Graphs - DOGs) and then tweaked by SMEs. Executions are predictable, meaning same path every time, using AI to accelerate the bits it's good at.

• Interdependencies: Each pyramid flow contains data products where errors are measured, controlled and not propagated.

• Bottlenecks: Parallel processing is done through a stable event-driven architecture - i.e., each data product executes in its own process space.

• Evaluation: Every component measurable and tracked independently - you always know what broke.

We are using about 10-20 AI different (small) models but alongside metrics, decision models and other more classic components all deployed as Data Products with the DOG as the business process.

We call this AI-On-Rails! 

This is the essence of AI Process Engineering - working out the right approach for AI for the use-case

Sometimes you don't need to go full Agentic which works 80% of the time (Parcha quote)

All the benefits of AI without the drawbacks of probabilistic systems

Preview your AI native business with Nebulyx AI (AI Digital Twins) and A.D.O.P.T. - AI, Data Object Graph and Product thinking | Data Product Workshop Podcast host

My session on Building AI Digital Twins with Data Products from Big Data LDN 2025 is live!!!

So excited, very honoured and grateful to Mike Ferguson and the whole team for hosting me at this excellent conference.

In this session, I go through our whole process to how we answer big business questions and re-imagine business operating models using AI native approaches in non-salesy way.

If you are a senior leader who has big questions about your business, you can't ask today then this shows how we do it with our Nebulyx AI platform and our A.D.O.P.T. (AI Data Object Graph and Product Thinking) approach.

Link in the comments

Building AI Digital Twins with Data Products - Nebulyx AI

AI is not replacing developers, not yet

I was doing an enhancement to the Nebulyx AI platform code base for a customer AI Digital Twin use-case.

Its really cool, optimisation of scenarios - pull levels on their data to give different cashflow yields - more on that later.

With the help of my great AI code co-pilot - I'd made the change to our awesome SQL virtualisation layer (specialised correlated subqueries). 

This layer is the killer feature for Data Products .

Code complete - check
Unit tests passed - check

Then I promoted to the full platform test environment and the code failed.

I asked the AI Co-Pilot what was going on and was confident that it was the new code and kept on insisting on changing it.

But it wasn't.

I did some deep debugging and found it was a bug in the meta-data being passed thru the API of the Data Product Containers in the test platform. 

I.e. nothing to do with the new code.

So I managed to fix it, (the old fashioned way), but this process shows two things,

1- In the hands of a senior Dev, Co-Pilots are a massive accelerator - think jet-pack for a some-one trying to get from A-to-B

2- One still needs expertise if that jet-pack goes of course i.e. Senior dev skills are still required. For simple projects one may be able to get away but for sophisticated solutions we need still them 

Obviously we need to create the next generation of senior devs in an AI world, but that is for another post.

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