Analytics 1.0-4.0
Which era focused on the analysis of data mostly being done manually?
Analytics 1.0
How does AI help with the efficiency of business models?
Business models can be tested and generated at a faster rate, allowing companies to pursue new markets and create new products
what are the 4 areas an organisation should evaluate to determine readiness for AI adoption?
Company culture, analytics capabilities, data and technology capabilities, individual capabilities
Should businesses adopt AI and develop AI capabilities ?
YES !
What is the main difference between analytics 2.0 and 3.0?
Analytics 2.0 focused on predictive analytics while analytics 3.0 focused on prescriptive analytics
How did Google utilise AI for marketing and sales?
Google Cloud engagement suite provided 8.7 million in savings from improved interaction efficiency, Gemini Pro helped companies generate personalised ads
What were some steps taken by Amazon to successfully integrate AI?
- embedded data into its core operations
- Demand forecasting
- competitive pricing
What type of projects should business initially target when developing an AI strategy?
Smaller and manageable projects
What is the defining trait of analytics 4.0?
Autonomous and adaptive systems
How does AI help with accelerating analytics capabilities?
they help to bridge talent gaps in organisations and lower costs for organisations
What are some of the ways an organisation can create an AI organisation development plan?
Start a centre of excellence, up-train existing analytics personnel and develop a recruiting strategy
What kind of AI projects should businesses set?
One with low cost and high returns