Regardless of the size of your business, you should definitely consider a digital transformation project. The building blocks of digital transformation are:
• Artificial Intelligence (AI)
• Block Chain
• The Internet of Things (IoT)
• Virtual Reality (VR)
• Augmented Reality (AR)
• 3D Printing
• Robotics
Many businesses are using AI to lead digital transformation, which includes both machine learning and deep learning initiatives.
What is digital transformation?
Digital transformation involves adapting and adjusting the current business processes with information flow to introduce new technologies across different business functions. Digital transformation is very positive in that it augments businesses processes but does not affect employee headcount. This can be achieved with artificial intelligence.
What is artificial intelligence?
Essentially, Artificial intelligence (AI) it is the idea that machines can possess intelligence. It can work wonders for your business especially when implemented properly. But AI models should be developed from scratch or you can combine Transfer Learning with pre-trained models.
What is AI Model Development Life Cycle?
The AI Model Development involves 2 parts: Model Development and Model Serving.
Model Development
This involves collecting data, cleaning and preparing that data, building models and validating their predications by organising the results.
Model serving
Once the model is deployed, a scalable API can be built and can be used as part of your daily business functions.
What components does AI need to succeed?
AI’s success depends increased computer power as well as the development of complex algorithms to capitalise on growing data produced not only by machines but by humans too.
Artificial Intelligence: Getting started with your project:
Step one: Form an AI core team
This team must include appropriately qualified technology and business experts.
Structuring the team
All team members must be experts in their respective areas, but must also work together to achieve project goals.
Data Science Team
The Data Science team will be responsible for defining the medium and long-term road map for AI adopting within your organisation. They will also identify the short and medium-term research area to address any business challenges your organisation may be facing.
Application Team
The Application team identifies any gaps in data (and rectifies them), develops tools to help the business team understand and process data, develops skills in data cleaning, data preparation techniques and programming, and enhances business applications using newly introduced AI models, such as mobile apps.
Infrastructure Team
The Infrastructure team will choose thing such as the AI model serving landscape (e.g. Cloud or Edge) and work with the Data Science and Application teams to create different frameworks and tools for the new landscape. They will also create a plan designed to support the AI development lifecycle for both Desktop and Mobile applications.
Business Expertise Team
This team gathers knowledge about AI’s capabilities and its suitability for the business. It also identifies business cases where AI implementation will be advantageous, and identifies gaps in data available from transaction systems (and rectifies them). This team of experts also prepares labelled data designed to train and validate the AI models.
Security Team
Essential members of the core team who are responsible for developing standards and guidelines whilst checking for possible cyber and security threats.
Is your organisation ready for the benefits of AI?
Once your teams are formed and adequately equipped with the right resources you will be pleasantly surprised by how business operations improve. From improving the overall shopping experience to automating customer interactions, there are countless ways that AI can boost your business quickly, easily and for both the present and future.
To learn more about AI and how it can be implemented into your business, contact the 8 Ways team today.
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