Continuous Intelligence

Continuous Intelligence

Business Intelligence for today’s fast changing world

Today's businesses are navigating in never ending rivers of data with information constantly in motion. In current scenario it’s difficult to process data with standard models and with this approach the motion data or streaming data available cannot be used for actionable insights. The address the need of real time Intelligence is more than ever now and to address this problem now we have Continuous Intelligence.

What is Continuous Intelligence?

Continuous Intelligence is a design pattern in which real-time analytics are integrated into business operations, processing current and historical data to prescribe actions in response to business moments and other events. Continuous intelligence is the use of tools and processes that integrate real-time analytics into business operations, perform automated calculations and recommend specific actions to be taken. The rise of augmented analytics and real-time data pipelines is reshaping how people and machines can respond to rapidly changing conditions, bringing insights and triggering actions when it matters most – right now

Data in Rest + Data In Motion + AI = Continuous Intelligence

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Data in Rest:

•      Data at rest is data housed physically in any digital form (e.g. cloud storage, file hosting services, databases, data warehouses, spreadsheets)

•      Data at rest includes both structured and unstructured data

Data in Motion:

•      Data in in motion, is data actively moving from one location to another such as across the internet or through a private network

•      Streaming data includes a wide variety of data such as log files generated by customers using your mobile or web applications, ecommerce purchases, in-game player activity, information from social networks, financial trading floors, or geospatial services, and telemetry from connected devices

AI/ML Ops:

•      Collecting the data, analyzing it to find insights, designing and developing experiments, through to the deployment and integration of AI and ML into production systems

•      Machine learning and other advanced algorithms to engage customers and streamline operations in creative new ways

Data democratization by putting actionable recommendations at the fingertips of analysts and operators throughout the enterprise

Continuous Intelligence Architecture:

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Benefits of Continuous Intelligence

In a constantly changing world, a continuous intelligence based approach allows organizations to keep the pulse of the market, adapt quickly to the environment, and make informed decisions based on insights as they are developed. This is in stark contrast to the traditional business intelligence cycle.

When the decision-making systems are infused into the business processes that activate them, continuous intelligence can enable organizations to personalize their customer interactions, streamline operations, proactively fix issues before they arise, and ultimately improve company performance. We call this return-on-data, whereby the data that an organization invests resources to collect and store is activated to generate positive returns.

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Conclusion

Continuous intelligence represents a new opportunity, but there are major changes that would be required in the way most teams operate. There are large benefits to be gained, but also significant challenges to overcome to enable. Organizations must embrace and adapt the rapid rate of change and evolve constantly in order to stay ahead of the competition from a digital transformation perspective. Operating a business with the latest, most accurate information holds major potential within any industry and most business models. Continuous intelligence can be operationalized at many levels – from supply chain, fraud detection, customer experience, and IoT enabled manufacturing to any time-sensitive process enhanced by the ability to respond to what’s happening right now. Here are several ways CI can accelerate business value in your organization.

Dr. Janmaya Mishra (PhD, PostDoc)

Cloud Tech Professional/ Researcher ~ AI & GenAI Research ~ Cloud Architect(Certified) ~ Speaker ~ Book & Journal Author -|--|- PostDoc, PhD, MTech, MBA

2y

Thank you for your contribution. Good Article and very good initiative!

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