Building AI strategy in organizations
- 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