Hi guys.
Welcome to this session.
So in this session we wanted to discuss how to develop an AI business strategy vision and goals for
a for a company.
So why you need an AI strategy.
So basically the importance of AI strategy is to align our goals or business goals and to maximize impact.
An AI strategy aligns your company's goal with AI initiatives, basically ensuring focused efforts and
measurable results.
Without a clear strategy, AI projects can become little disconnected and waste valuable resources.
An AI strategy acts as your business's roadmap, guiding your team towards success with purpose and
focus.
So defining your AI vision statement becomes super important.
You need to think about.
Whenever we are thinking of thinking of a vision statement, it has to be set as a clear, focused,
future focused goals.
Our AI vision is a clear statement of how AI will drive business our business success.
Be very specific and tie your goals to real outcomes.
So, for example, use AI powered analytics to predict customer demand and reduce delivery times by
20%.
Now, when you assess where your business stands, you need to evaluate readiness before you start.
Check your data quality, tech infrastructure and team skills to identify strengths and gaps.
Knowing where you stand ensures realistic goals and smoother implementation.
Now review lessons on.
Before we go into this, we need to review the lessons which we had done in AI readiness, wherein we
had a couple of questions which we had talked about, discussed about like what are our business goals
for AI adoption?
Do we have high quality, organized, accessible data?
Is our current technology infrastructure scalable and compatible with AI tools?
Does our team have the skills needed to work with AI or do we need training?
So all these questions you need to think about again in order to review before you move forward in this
particular course.
So we have picked up a specific framework over here, which is the four pillars of generative AI strategy,
which will help you to design your own AI strategy for your business.
So it has four major factors.
The first one is vision.
So in vision you need to think about how to set specific business driven AI goals that are clear and
measurable.
For example, reduce customer service wait times by automating responses for common questions.
Then comes value in value.
Ensure every AI project delivers measurable business value by boosting revenue, reducing cost, or
improving customer experience.
Now, for example, automating inventory management can reduce storage costs and speed up the deliveries.
Now, the third aspect of this strategy is going to be adoption, which is success depends on implementation.
So creating an action plan with defined goals, deadlines and team training to keep projects on track.
And then the last segment of it is risk management where we manage risk like data security, compliance,
compliance and bias with strong safeguards and privacy protocols.
Now creating an action plan here.
You can think of it.
You can outline some key projects, assign team leads, set your timelines, start with a small high
impact initiatives for quick wins.
So for example going back to the customer service chatbot example.
So you select first you select the platform.
Then you train the chatbot on relevant data.
Then you integrate it into your system.
So like this you're going to build out the action plan and then break down tasks into smaller ones.
Set milestones to track the progress, review the outcomes, and adjust as and when needed.
Now, in all of this team alignment is super crucial.
Super needed because all the members need to be connected and committed to this particular AI vision.
They need to share the vision with the entire team.
Regular AI check ins and brainstorming sessions should happen so that new ideas can come up.
And then we need to also celebrate wins and encourage the new ideas.
So this is how we are able to build out a complete AI strategy for any business.