AI Strategy
What is an AI Strategy?
If data is the new oil then AI is the engine that propels businesses forward. Now that all the businesses globally are inclining toward adopting AI and its applications, having just a data strategy isn’t enough. An AI strategy will provide a holistic and sophisticated approach that is in line with your business goals and leverages the data to churn out more value. AI adoption can be brought into nearly every function of your business – Operations, HR, Marketing, Finance, Supply Chain, R&D etc; but actually implementing it across functions requires a well-planned approach.
Our Founder – Kunal Singh, was an early employee at Uber India and over the next 5.5 years, had worked on the implementation of AI/ML within the org – bringing in rich and close-up experience of how a global tech giant plans and implements their AI strategy!
Why is having an AI Strategy important?
- It makes your future business future-proof and ensures proper adoption of AI without any ill-planned costs and failures.
- Ensures a synchronization and functioning of models revolving around different areas of your business with the documentation and version control.
- You can properly assess the various AI models and optimize the models that are producing more value. Thus, scaling up becomes very easy.
How we plan and implement AI Strategy:
It is very important to make sure that your AI Strategy is a result of constantly assessing the risks and benefits to make sure doing so makes sense before implementation. Otherwise, you run the risk of doing more harm than good. Here’s how we diligently work on AI strategy.
Business Goal
Before jumping into the AI strategy it is very important to have clear business goals/objectives you want to achieve with the help of AI.
Strategic AI Priorities
Now that our business goal is clear we determine how AI help solve those issues.
Prioritize AI Adoption
After figuring out how AI can help uncover new opportunities and/or solve your problems it is important to know which areas to tackle first. This usually depends upon ROI and time consumption.
Data Strategy
As data is the oil that goes into AI which is the engine, data strategy will ensure that we AI model has enough consistent data to work with.
Legalities
It is very crucial for any company to comply with the laws and regulations that surround data. We dive deep to make sure that we aren’t violating any privacy, discrimination, etc. laws of any individual/company.
Infrastructure
Now we have to make sure that all our data infrastructure is in place to support the AI model. This includes cloud setup, frameworks, pipelines, tools etc.
Human Resources
Now we need to have the talent that understands how to leverage AI technology and is that talent aligned and deployed to the right places in your organization.
Execution
Now that everything is in place we set proper targets and timelines for achieving results and turning aspirations into reality.
There are no one-size-fits all for AI Strategy
Get the right AI Strategy for your business
