Real-time AI Revolutionizes Business Decisions and How

Artificial Intelligence

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24 Mar 2020

5 Min read

Real-time AI Revolutionizes Business Decisions and How

Better data translates into great decisions. With technological insights at the forefront, businesses across many sectors and industries are growing smarter by allocating resources and making big decisions. We have seen most business managers feeling handicapped without access to analytics.

Businesses world-over have resorted to employing and integrate Artificial Intelligence (AI) to drive business through predictions, recommendations, and decision scoring. We are now entering a revolutionary world of real-time artificial intelligence for business leaders.

Real-Time AI Integration :

The niggling question most of us have is can real-time artificial intelligence integration help make better business decisions? Artificial Intelligence and machine learning decipher the machine power to predict, recommend and score business decisions for any sector. AI uses past data to equitably look forward and conveys business intelligence when needed.

Artificial Intelligence goes beyond creating rule-based systems to developing algorithms that can be guided to learn the data and identify patterns, connections, and insights. All this without being programmed to work towards any specific conclusions.

Data-based Decisions:

The aI-driven business decides the future. In earlier days, companies and businesses would put in months and days to formulate business insights. Thanks to the arrival of computers, data analysis, and analytics capabilities altered decision-making for businesses via dashboards. In this digital era, AI takes the decision making into the next level by providing foresight, predictions, and recommendations. Intelligence is supplied in real-time to help an individual to make a decision.

AI makes the process dynamic by replacing rigid, rule-based business models. In an AI-powered business-decision world, decisions are based on the lessons learned from the results to continuously refine the decision-making process. AI-oriented decisions are fluid and dynamic. E.g. Fraud and intrusion detection systems use machines instead of humans. In the world of operations, chatbots are being used as the first line of defense. It is evident the future is AI-driven and is on its way to becoming more mainstream at most forward-looking businesses.

Companies and businesses, with real-time AI assistance, have the opportunity to receive a score to create a dynamic sales funnel that helps sales managers continue to prioritize their decisions. Artificial Intelligence has the potential to give sales managers the predictions and recommendations to engage with a customer, increasing the likelihood of closure. AI is capable enough to acquire the right customer for the right product at the right time with the right message.

Tomorrow’s Knowledge, Today:

Artificial Intelligence coupled with Machine Learning (ML) is accelerating the decision-making process and creating value in today’s business. These two technologies put together can analyze a larger volume of data, into affordable data storage solutions and have greater computational processing power. We would like to give you a ringside view of the problems the key step managers face today and the solutions they have devised to overcome it.

Let’s address the basic problem, to begin with. Most companies would have machine learning and data science teams to find insights or models that businesses can use. This trend should be revered and let the technology be the enabler and must be channelized in the right direction.
Try, find and acquire accurate internal and external data. It creates an opportunity to review what other data your organization will be needing. Choose wisely whether to digitize data or to create derived data elements. The potential of this is out in the open only when external data is brought into the mix.
ML and deep learning algorithms can never be a one-size-fits-all solution. Business leaders can incorporate several algorithms options for their problems. It should be a business-driven process, despite technology doing all the heavy lifting and the results should be analyzed for business accuracy.
Learning and improving is the key. These capabilities of AI technologies where systems can continuously learn, assures that predictions and recommendations will be better than the previous ones. Every decision in business is a result of a supervised feedback loop of systems that are learning and becoming better.

Any businesses that have the potential to capitalize on today’s technology will be best placed to benefit from tomorrow’s possibility of futuristic decision-making business. This can happen, only if the business leaders or individuals are ready to take the plunge.