What does the Theory Of Change mean? Change represents the difference an institution or organization hopes to make in the world. The theory stands for the process that allows it to do so. Leaders or teams create a strategic plan with the various changes that need to happen and structured actions required to reach these goals.
If your process to achieve change doesn’t include the adoption of technological systems, you will fall behind. Our current world situation is highly competitive, and digitization and automation increasingly lead the charge. Companies from all sectors of the economy recognize this opportunity and fixate on innovation and the digitization of their activities.
Technological innovations, such as big data, artificial intelligence, and the internet of things (IoT), allow companies to differentiate themselves from their competitors and increase their profitability and productivity—or whatever public-sector goal they look to achieve—by giving them the most accurate and complete information.
When you consider the value of the organization/consumer relationship, the role of technology is crucial. Big data and AI have been game-changers in the scaled collection and rapid analysis of data on user behavior. By knowing the consumer’s wants, concerns, and needs, organizations can make relevant and timely decisions in a rapidly changing environment.
Change should focus on improving services, offerings, and value. Digital adaptation usually involves an initial investment but saves money and resources in the long run while allowing for quick adaptation and superior results.
Technological innovations, such as big data, artificial intelligence, and the internet of things (IoT), allow companies to differentiate themselves from their competitors and increase their profitability and productivity
Advanced technology and artificial intelligence have been around for decades. AI has revolutionized access to knowledge, credit, and other advantages. Such access has contributed to a massive reduction in global inequality and extreme poverty by allowing farmers to know fair prices, anticipate the most profitable crops, and access accurate weather forecasts.
It’s this need for technological advancement that drives Citibeats’ innovation and offerings. We know that people’s opinions can help decision-makers act faster so that resources can be allocated to where they will be most effective.
We also know that traditional methods of collecting opinions (e.g. surveys) are slow and costly and that new sources of text data are hard to analyze at scale.
With AI technology and natural language processing, Citibeats collects public opinions at a massive scale by connecting to public sources and data from clients, such as call helpline transcriptions, CRMs, chatbots, and more. The AI then analyzes these opinions—up to thousands per day—and sorts them into actionable insights via dashboards, reports, and alerts that inform policymakers and decision-makers.
In the end, AI offers valuable benefits:
- Reduced feedback collection time and costs
- Increased population and geographical coverage
- Systematic inclusion of people’s opinions in the decision-making process
The results so far have been extremely positive. The policies and investments of our clients have become more people-centered and responsive to social needs. This means more social impact per dollar spent as well as more fund allocation for these needs.
So far, we’ve seen:
- Opinion-based data delivered 90 days earlier than traditional methods
- 55+ countries where companies and governments have applied Citibeats data
- 70M+ voices represented