How to start the journey of Data science in your organizations. Find how to understand the business objectives, AI Frameworks, Methodologies and canvas models to help you depict business potential scenarios for justification.

1. How to start AI Journey in your Organization ?

2.  VYRATECH Solutions is a Analytics firm, formed by a group of technocrats whose experiences from the
industry forms a strong foundation to the organization. The founder members of Vyra Tech Solutions
had more than two decades of SAP & Data Science project implementation experiences globally
across various domains.
 With that deep expertise and industry specialization, our focus is more towards the upcoming
technologies in Deep learning, Artificial Intelligence, Machine Learning and newer aspects of advanced
analytics. Our solutions are technology agnostic and centred on consulting services based on the
customer requirement.
 Our practical solutions deliver actionable and measurable business results that inform decision making,
optimize IT efficiency, and improve business performance.
 We are a trusted advisor, strategic business partner, and expert implementer in Data science specific
niche solutions, business intelligence, data warehousing, data integration, information quality and
performance management solutions.
About us

3. Our approach
1.Alignment to Business Strategy
2. Assess your Maturity status
3. Build your Case study
4. Evaluate the domain business specific frameworks
5. Business canvas models to transform business scenarios into AI/ML Canvas
6. Building your internal teams or find a right partner to work with you
7. Take care of Change management

4. 1.Alignment to Business Strategy
Understand your organization priorities and at the same time identifying the
relevant problems that can be addressed through Data science (AI & ML) specific
solutions.
Review goals and objectives and identify potential key business scenarios to your
Automation strategy, few sample business issues and challenges are stated below:
• Reduce or optimize the cost of production/Operational cost
• Be competitive and at the same time Increase customer satisfaction level.
• Becoming a leader in certain space,
• Setting organizational benchmark in quality standards,
• Reducing the exposure to risk etc.,

5. 2. Assess your Data science(AI) maturity status:
There are many models, which can help, assess the maturity reediness,
listed down are few models for your quick reference.
Source : Andrew Burgess - Guide to AI management

6. 3. Data science Framework :
Build a Heatmap of Automation type which can provide you a top-down perspective on
areas where AI is desirable, economically viable and/or technically feasible. It helps in
identifying the types of AI capabilities that need to address in each area in order to realise
the automation ambitions.
• Align with strategic objectives.
• Addresses existing challenges
• Evaluate available data sources
• Assess the available technology
Also consider following key aspects from readiness perspective before mapping in to AI
framework.
Sample heatmap for your reference

7. 4. Build a case Study: Check the domain specific frameworks
Some of the AI & ML specific business canvas tools can help your journey to narrow down the issues and
identify right business potential scenarios to justify investment and steps towards further development
Framework Description Application areas
Porter's Five Forces - Useful to understand the competition - Useful when launching new product or
service
• Finance and Strategy
Business
Segmentation
• Prevents the effort to analyse multiple domains at the same time –
• Facilitates the analysis of each domain according to its characteristics
• Finance and Strategy
SWOT & Balance
Score card
Analysing each domain to generate hypotheses
1. Financial 2. Customer 3. Internal Business Processes 4. Learning and Growth
• For Sales, Finance and
Strategy
BANT , 4Ps
Useful to check if the product/service offered by the company is: 1. solving the
problem for the customer 2. priced correctly 3. is promoted effectively 4.
accessible to customers
• Sales & Marketing
5C’s 1.Customer 2. Company 3. Competitor 4. Collaboration 5. Context • Business environment
STP Market Segmentation, Targeting & Product positioning • Marketing and sales

8. 5. Business Canvas models
Different organisations use different methods in building business cases. Some focus on ROI, others on Net
Present Value or internal rate of return or others payback.
Issue tree framework
Inspired from Louis Dorard Model for ML, Refer to louisdorard.com for more details

9. 5. Change Management
• Any IT projects require change management. With automation and adoption of
AI, the challenges are magnified. @Vyratech, our experts in change management
team will support the organization in the change management process in driving
down the end to end implementation.
“AI is powerful…but it doesn’t work without people”

10. Contact us
VYRATECH can help you address in all steps in building the Data science(AI) Strategy.
Talk to our experts in your journey towards building a strong Data Science practices.
For more details, please contact us @
info@vyratechsolutions.com
Thank you