Innovation (GenAI) EBA

Accelerate moving GenAI use cases to production and realise business value.

a computer circuit board with a brain on it

An August 2022 Gartner survey reveals that about 50% of organisations struggle to move AI/ML from pilot to production.

AWS GenAI partners have identified 6 main causes: 1/ Lack of meticulous business scoping and ROI modelling 2/ Lack of data modelling 3/ Lack of advanced optimisation 4/ Lack of ML/FM engineering skills 5/ lack of strategic priority 6/ Lack of confidence in security and compliance.

The AWS GenAI path to production framework has 8 steps if followed rigorously can avoid these pitfalls.

The GenAI Challenges

Learn Through Experience

Our Innovation EBA will "empower you" to accelerate moving GenAI use cases to production and realise business value.

Data Strategy

GenAI Training and Skills

Train, educate and upskill your teams on the various GenAI technologies and the framework to move them to production.

Empower your teams to be 'hands on keyboards' and deploy real GenAI use cases and realise business value.

Get Started

Utilise Agile Ways of Working

Learn, utilise and embed new ways of agile working into your business to kick start and accelerate your agile transformation.

silver and black stethoscope on 100 indian rupee bill

Advanced Observability

Implement advanced and nuanced observability for GenAI technologies to improve return on investment.

Gain leadership buy in and bring your teams together to align your organisation and scale GenAI business value.

Organisational Alignment

The Innovation EBA

The Innovation EBA is a proven mechanism that Enterprises at various levels of cloud maturity have harnessed to accelerate the adoption of GenAI technology.

In this 8-week engagement we combine traditional classroom training with cloud and GenAI consulting, and agile ways of working.

You will develop the knowledge and skills to realise business value from GenAI technologies utilising the Experience-Based Acceleration (EBA) methodology.

We will 'empower' your teams to understand and model the business value of GenAI solutions, and then overcome these common challenges to move to production and realise new business value.

How will we deliver?

Identify and categorise data, and establish batch or stream data pipelines and set up data lakes for large-scale storage and access.

Frequently Asked Questions

What is included?

What does it cost?

Initiation

This is a 8-week professional services engagement utilising the proven EBA methodology, to train and empower your teams to understand and model the business value of GenAI solutions, and then accelerate moving GenAI use cases to production and realising new business value.

We will lead you in utilising the EBA methodology to plan and prepare for the GenAI use case(s) deployment.
We will define the goals for the execution sprint and ensure the right teams are enabled and available to participate.
We will asses your current skills aligned to the GenAI use case(s) deployment and deliver training to address any gaps.
The work required to prepare for the execution sprint is accomplished typically through 3-5 workstreams.
These workstreams will be cross-functional customer teams supported by our AWS GenAI specialists.
These workstreams will rigorously follow the AWS GenAI path to production framework so they avoid the common pitfalls which stop GenAI pilots moving to production.

Preparation - 6-7 Weeks

Execution - 3-Days

Our senior AWS GenAI specialists will begin with executive alignment and working backwards to understand your business drivers and goals, to align on the EBA scope and objectives.

The engagement culminates in a 3-day agile sprint facilitated by us to bring all your relevant teams together i.e. Engineering, Development, Security, Finance, etc.
In this sprint empowered by our AWS GenAI experts your teams will collaborate to deliver the goals of the engagement and deploy the GenAI use cases.
Utilising agile ways of working to accelerate business value through a proven learn through experience working model.

Review and Accelerate - 1 Week

We will complete a retrospective and validate the outcomes of the execution sprint, identifying next steps to push into production and the realisation of business value through GenAI technologies.

EBA agile methodology, GenAI technology and GenAI path to production framework enablement of your participating teams.
End to end engagement management including facilitation and hosting of the agile execution sprint by our agile EBA experts.
Senior AWS GenAI experts supporting and empowering your teams to deliver new GenAI business value.

Like to discuss further?

Book a 1:1 with our Founder and Managing Partner Oliver Morison.

an abstract image of a sphere with dots and lines

Model Selection & Architecture

Assess models based on factors like accuracy, cost, latency, and any potential data constraints, and set up a robust architecture.

Business Modeling

Clearly define business objectives and how GenAI aligns with these goals to ensure focus on measurable outcomes.

Security and Complaince

Establish security responsibilities, principles and controls and Human-in-the-loop.

A working AI/ML-GenAI model that delivers on a key business outcome, with a path to
production within 30-60 days post EBA.
Established/augmented operational capabilities based on ML Ops framework to deliver
and manage AI/ML-GenAI projects and tracks success measures.
Practitioners upskilled in the usage of AWS AI/ML and GenAI services, the EBA methodology and the AWS GenAI path to production framework.
Use case backlog/pipeline for the customer's business based on the blueprint developed
during the EBA.

Expected Outcomes

AWS partner funding is available for an Innovation EBA to reduce the cost paid by the customer.

Please get in touch to discuss to discuss your priorities and challenges, and how the Innovation EBA and AWS partner funding could help.

Who has their "hands on keyboards" making the technical changes?

This done by the customer teams as this is a core principle of how your teams learn through experience.

How do we select the GenAI use cases?

Business modelling is a critical step to ensure a GenAI use case has a clear ROI. We will work with you to clearly define business objectives and how GenAI aligns with these goals to ensure focus on measurable outcomes.

What agile ways of working will we utilise in the engagement?

The execution event is run as an agile sprint with ceremonies. Each team will define their sprint goals, epics and user stories into a backlog during the preparation and utilise a Kanban board in the event. A retrospective will be run post the engagement to identify lessons learnt and next steps to continue your cloud journey and expedite cloud business value. This is part of the EBA methodology engagement we will do with your teams.

How do you ensure leadership buy in?

A senior customer sponsor is a pre requisite for a successful engagement to ensure the goals are aligned to business priorities, and to rally support within the organisation to provide resources and the required cross-functional teams.

What number of participants take part in the 3-day execution sprint?

Typically 10-15 customer participants will take part dependant on your organisation's structure and the goals of the engagement.

Can our existing cloud partner take part in the engagement?

Yes, your current partner is welcome and encouraged to participate in the engagement and sprint execution as an extension of your teams.