AI & Data Analytics
Time to gain an unfair advantage.
Unleash AI to achieve extraordinary gains in productivity, customer engagement, and data-driven decision making.
AI is real and it’s now.
We help you navigate the fact from the fiction.
There is so much hype around Generative AI and AI advancements with IT organisations waging war in the Large Language Model and Tooling battlefield that it makes it difficult to answer two important questions:
- What is useful and value driven to do right now?
- How do I start to implement AI and set the right
foundation for an incremental progressive approach?
Our Approach to AI Solutions.
Our Cloud Centre of Excellence team is passionate about debunking the fact from the fiction to identify ways in which AI can help your organisation reimagine digital transformation.
We help you to…
Explore & identify
Use our knowledge and idea to help you define use cases to unlock potential in your business.
Define an AI ready Architecture
Review your data and service architecture to help design the foundations for AI adoption.
Upskill & deliver
Help you build the right team skills to engender AI in the heart of your organisation and provide the implementation skills to deliver early project success.
Harnessing the power of AI isn’t just about adopting new technologies. The true value in AI is combining the right technology safely and effectively with your data to reimagine what you can achieve. So, working with Digital Space we’ll leverage our expertise and knowledge to give you that unfair competitive advantage.
Benefits of AI with Digital Space.
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Operational efficiency & employee productivity
AI solutions automate repetitive tasks, streamline workflows and optimise resource allocation, enabling your organisation to operate more efficiently and effectively.
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AI driven code generation
Amazon Q or Microsoft CoPilot for business using Retrieval Augmented Generation (RAG).
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Data-Driven insights
AI algorithms analyse large volumes of data to uncover patterns, trends and correlations that may not be apparent to human analysts, providing valuable insights for decision-making and strategy development.
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Personalised experiences
AI-powered recommendation engines and personalisation algorithms deliver tailored recommendations, content and experiences to individual users, enhancing engagement and satisfaction.
Amazon Connect. An AI driven contact centre solution to create compelling, customer focused, multi-channel engagement experiences for your customers.
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AI applications
Leverage AWS Bedrock technology to deliver bespoke AI capability as a foundation for AI projects and use cases.
Outcomes
Business impact
AI solutions drive tangible business outcomes, such as increased revenue, reduced costs, improved customer satisfaction, and competitive differentiation in the market.
Innovation
AI enables you to innovate and differentiate your offerings, creating new products, services, and experiences that set you apart from competitors and meet the evolving needs of your target audience.
Continuous improvement
AI solutions are a foundation for continuous improvement and innovation, enabling you to iterate on features, gather feedback, and evolve your offerings to stay ahead of the competition and drive long-term success.
A Digital Space funded* workshop to help define how your organisation can take advantage of AI.
AI-ready architecture. An engagement to deliver a use case Proof of Concept (PoC). This proves the value to your organisation and establishes an AI-ready architecture with the appropriate security and data governance in place.
What can I expect from an AI Readiness Assessment with Digital Space?
Our engagement will fit in with your AI journey but typically many organisations start with the AI Readiness Assessment.
This assessment consists of the following phases:
1. Initial questionnaire
Captures key information from your stakeholders or team to identify current business use of data, key priorities, and processes.
2. Workshop discussion
A collaborative workshop with key personnel from your team to explore skills, Systems of Record (SoR), and technology investments. We use this information refining and tailor the assessment to align with specific outcomes.
3. Current Mode of Operation (CMO) and data architecture review
A data gathering exercise to assess your current data fidelity and architecture, licensing commitments, and wider infrastructure configuration to identify Gen AI adoption and accelerate time to value.
4. Review & clarification
After our experts have assessed the information, we will come back with any points of clarification or additional request to enable the team to complete a full assessment.
5. Report creation
We will collate our findings in an easy-to-understand report that summarises your GenAI / ML readiness.
6. Presentation
We agree on a mutually convenient date to review the report with you and complete the assessment. If the agreed next step is a Proof of Value (PoV), we will outline the use case(s) and outline a Statement of Work (SoW) to capture the scope and details.
Find out more about our other products and services
Amazon Connect
Build reliable, inexpensive automatic calling services with improved CX, speed, automated text to speech, bespoke services and more.
FinOps
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