AI for Business by DeeperThanBlue
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What's in it for me?
Artificial intelligence already makes it possible to solve everyday problems by asking questions and getting answers in natural language from a search engine or interacting with a digital assistant or AI chatbot.
In repetitive tasks, it helps achieve higher accuracy and consistency, remove human error, allowing you to scale, operate outside of normal business hours and improve business processes.
With the pace of change, many people feel overwhelmed by the scale of AI. Without appreciating the benefits of the technology, it’s easy to deprioritise AI projects and watch while others investigate. However, early adopters will find that AI will work for them.
Better decisions
Data-driven insights to make more accurate, unbiased decisions.
Efficiency gains
Complete tasks at a scale and velocity impossible for humans, automating repetitive processes, leaving workers to perform higher-level and more engaging tasks.
Faster operations
Accelerates business speed by rapidly analysing large datasets, shortening product development cycles from design to commercialisation.
Personalisation
Provide personalised customer services and experiences by understanding individual buying patterns, interests and needs.
Cost savings
Automate routine tasks, reducing labour costs and eliminating human error.
Competitive advantage
Early AI adopters can gain an edge over competitors through associated efficiencies.
What areas of your business should you consider applying AI to?
Customer Services
- Self-service knowledge bases
- Sentiment analysis
- Chatbots and virtual assistants
- Customer behaviour analysis
Expert Systems
- Curated content
- Distributed expertise
- Learning and adaptation
- Single source of truth
Human Resources
- Recruitment and talent acquisition
- Onboarding and training
- Payroll and benefits
- Employee engagement and retention
Marketing
- Predictive analytics
- Content creation
- Marketing automation
- Customer segmentation and targeting
Sales
- Predictive sales forecasting
- Conversational AI and chatbots
- Lead scoring and prioritisation
- Sales process automation
How can DTB help you?
We focus on helping business gain benefits and efficiencies from Generative AI. We do this through the following service offerings:
- Workshop
- Discover problem and pain areas in your business
- Review areas that might be a good candidate for using AI.
- Consider repeatable Use Cases that apply to your business
- Building a proof of concept quickly—in days/weeks
- Build out a minimal viable product—and get that into production in weeks.
- Scale out once the ROI has been proven.
- Select the correct AI platform provider, Large Language Model or Foundational Model for results accuracy and understanding the total cost of ownership.
Who are our tech partners?
We are firm believers that no single provider—LLM or foundational model—will satisfy all use cases or requirements. It’s more likely that a multi-modal AI future is what organisations will gravitate towards sooner rather than later.
Therefore, we partner and work with some of the most trusted and leading AI partners and platforms:
Google Gemini
Microsoft Azure AI
AWS Bedrock
IBM Watson X Human Resources AI demonstration
What are the different forms of AI?
Generative AI
AI systems that can generate new content like text, images, audio, or code based on training data, often using deep learning techniques like generative adversarial networks (GANs).
Assisted learning
The use of technology and digital tools to enhance and support the learning process, such as computer-assisted learning, virtual reality simulations, and interactive multimedia.
Machine learning
A subset of artificial intelligence that allows systems to learn and improve from data without being explicitly programmed, enabling pattern recognition and predictive modelling.
Neural networks
A type of machine learning model inspired by the human brain, consisting of interconnected nodes that process data and learn to recognise patterns.
Deep Learning
A subset of machine learning that uses multi-layered artificial neural networks to learn from large amounts of data, enabling advanced tasks like image and speech recognition.