In fact, most people and enterprises interact with artificial intelligence in some form or another on a daily basis.
As artificial intelligence technologies proliferate, they are becoming an imperative for businesses that want to maintain a competitive edge.
Whether it is a self-driving car, a smart assistant or a virtual booking agent the goal is to mimic human intelligence with the slightest possible error.
Electi has extensive experience in the fields of Artificial Intelligence/ML and can help companies drive innovation and productivity gains and improve competitiveness.
Our in-depth knowledge combined with the selection of the right technologies can assist you in integrating a machine learning model into an existing production environment.
DESIGN YOUR COMPANY’S AI AND DATA STRATEGY, PRODUCTS AND SERVICES
BUILD AND DEPLOY MODERN, END-TO-END, SCALABLE AND BESPOKE AI SYSTEMS
OPTIMIZE YOUR EXISTING SOLUTIONS FOR SPEED, SIZE AND SCALABILITY
ANALYZE AND OBTAIN YOUR DATA AND PROVIDE SPECIFIC INSIGHTS
Electi proposes the following 4-step process for the development of an Artificial Intelligence Strategy:
Review current Organisational Structure
Review current Technology Infrastructure
Evaluate opportunitiesfor business model innovations
Co-ordinate with all stakeholders
Develop AI strategy
Develop deployment plan
Communicate Strategy to stakeholders
Train employees
Execute
Monitor
01. Reduction of operational costs
02. Increased operational efficiency
03. Improved customer experience
04. Increased revenues
05. Optimisation of processes
06. Creation of competitive advantage
AI can accelerate digital transformation efforts and increase the tech readiness level of enterprises, through Process streamlining/reengineering which in turn can increasing robustness, performance and scalability.
Implementing an AI-driven strategy within organizations operating in a variety of market verticals can also increase productivity, improve costumer experience and can boost ROI on a variety of projects. Raised awareness among stakeholders regarding the potential of AI and anticipated risk can help with recognizing new business opportunities and developing innovative tech-enabled solutions.
Bespoke knowledge transfer activities are available on AI through Electi Academy.
01. Strategic support to Research Development and Innovation (RDI)
02. Validation, including Ethical AI Certification
03. Design of Digital transformation per company or sector
04. Testing and experimental activities with digital tech
05. Integration, adaptation and customization of various technologies
01. R&D on proprietary technology
02. Design data, AI strategies and AI Products
03. Develop key parts of the ML and AI infrastructure
04. Assessment to conform with “Ethics guidelines for trustworthy AI”
05. Audit existing Data pipelines, Machine Learning solutions and Deep Neural Networks solutions for bias, inefficiencies, bugs, instabilities, fairness, performance for M&A and startup valuation
06. Complete data science project cycle. Including mathematical modelling / engineering / optimization and integration
Deep neural networks have proved to be a very effective way to perform Machine Learning tasks.