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Cognitive Automation and Its Importance for Enterprises

One of Japan’s leading insurance firms — Fukoku Mutual Life Insurance claims to have replaced 34 human tasks with IBM Watson (AI technology).

Cognitive automation is a subset of artificial intelligence that uses advanced technologies like natural language processing, emotion recognition, data mining, and cognitive reasoning to emulate human intelligence. In simple words, cognitive automation uses technology to solve problems with human intelligence.

Cognitive automation vs Robotic Process Automation

The main pillars of cognitive automation

Consider an automated home security system programmed to function based on millions of decisions. It may still encounter situations when it does not know what to do. Machines can make logical decisions in many unforeseen situations using cognitive neuroscience. 

The technologies to make cognition-based decisions possible include natural language processing, text analytics, data mining, machine learning, semantic analytics, and more. The following table gives an overview of the technologies used in cognitive automation.

TECHNOLOGYDESCRIPTION
Machine LearningIt involves improving a system’s performance by learning through real-time interactions and without the need for explicitly programmed instructions.
Data MiningIt is the process of finding meaningful correlations, patterns, and trends from data warehouses/repositories using statistical and mathematical techniques.
Natural Language ProcessingNLP is a computer’s ability to communicate with humans in native languages. 
Cognitive ReasoningIt is the process of imitating human reasoning by engaging in complex content and natural dialogues with people.
Voice RecognitionIt is transcribing human voice and speech and translating it into text or commands.
Optical Character RecognitionIt uses pattern matching to convert scanned documents into corresponding computer text in real-time.
Emotion RecognitionIt is the understanding of a person’s emotional state during voice and text-based interactions.
Recommendation EngineIt is a framework for providing insights/recommendations based on different data components and analytics. For instance, Amazon was one of the first sites to use recommendation engines to make suggestions based on past browsing history and purchases.

Why is cognitive process automation important for enterprises?

Cognitive automation improves the efficiency and quality of computer-generated responses. In fact, cognitive processes are overtaking nearly 20% of service desk interactions. The following factors make cognitive automation next big enhancement for enterprise-level operations –

  1. Cost-effective: Cognitive automation can help companies to save up to 50% of their total spending for FTE, and other related costs.
  2. Operational Efficiency: Automation can enhance employee productivity, leading to better operational efficiency.
  3. Increased accuracy: Such systems are able to derive meaningful predictions from a vast repository of structured and unstructured data with impeccable accuracy. 
  4. Facts-based decision making: Strategic business decisions drill down to facts and experiences. Combining both, cognitive systems offer next level competencies for strategic decision making.
4 benefits of cognitive automation for enterprises

Also read – Cognitive approach vs digital approach in Insurance

Applications of cognitive automation

End-to-end customer service

Enterprises can understand their customer journey and identify the interactions where automation can help. For example, Religare — a leading health insurance company incorporated NLP-powered chatbot into their operations and automated their customer-support and achieved almost 80% FTE savings. Processes like policy renewal, customer query ticket management, handling general customer queries at scale, etc. are possible for the company through chatbots.

Processing transactions

Reconciliation is a tedious yet crucial transaction process. Banking and financial institutions spend enormous time and resources on the process. Paper-based transactions, different time zones, etc. add to the complicacy of settling transactions. With human-like decision-making capabilities, cognitive automation holds a huge prospect of simplifying the transaction-related processes.

Claims processing

In insurance, claims settlement is a huge challenge as it involves reviewing policy documents, coverage, the validity of insured components, fraud analytics, and more. Cognitive systems allow making automated decisions in seconds by analyzing all the claims parameters in real-time.

Also read – How intelligent systems can settle claims in less than 5 minutes

Requirements

Deloitte’s report on how robotics and cognitive automation will transform the insurance industry states that soon, automation will replace 22.7 million jobs and create 13.6 million new jobs. However, not all operations can be automated. The following are the requirements for successfully automating processes.

  1. Input sources: The input sources should be machine-readable, or needs to be converted into one. Also, there’s a limitation to the number of sources that the system can process for decision making. For instance, in an email management process, you cannot automate the resolution of every individual email. 
  2. Availability of the technology: Cognitive automation combines several technologies like machine learning, natural language processing, analytics, etc. Thus, all the technologies should be available to make automated processes functional. 
  3. Data availability: For the cognitive system to make accurate decisions, there should be sufficient data for modeling purposes.
  4. Risk factor: Processes like underwriting and data reconciliation are good prospects of cognitive automation. However, based on the risk value and practical aspects, human intervention may be required to make the final decision.
  5. Transparency & control: Cognitive automation is still in a nascent stage and humans may overturn machine-made decisions. Therefore, the system design needs to adhere to transparency and control guidelines.

Wrapping up

Cognitive systems are great for deriving meaningful conclusions from unstructured data. Many back and front office operations can be automated for improving efficiency, especially in consumer-facing functions to understand requirements and feedback. For instance, cognitive automation comes with powerful emotion recognition capabilities. It can help with making sense of customer tweets, social updates, through face recognition and analyzing texts. 

Since cognitive automation solutions help enterprises to adapt quickly and respond to new information and insights, it is becoming crucial for customer-centric businesses. The following graph shows how important cognitive technology adoption is for businesses that focus on consumer centricity.

Customer centricity and cognitive technology adoption
Source: Deloitte

Also read – 5 Front office operations you can improve with AI

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What If the Sun Took a Day Off?

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Ever wondered what life would be like if the Sun took a day off? Picture waking up to an Earth shrouded in darkness, where temperatures drop dramatically within hours, plunging the planet into an icy chill. Plants, deprived of sunlight, would halt photosynthesis, leading to a food production crisis. Our reliance on renewable energy would face a sudden halt, causing widespread blackouts and chaos in cities across the globe.

A day without the Sun would throw our world into chaos! Luckily, that’s never going to happen (at least in our lifetime!). But this thought experiment underscores the Sun’s critical role in our lives and highlights why harnessing solar energy is so vital. While we’re increasingly turning to solar power, we are still missing out on capturing a massive amount of solar energy that falls on Earth every single day.

How Much Solar Energy Are We Missing Out On?

Every day, the Earth receives about 173,000 terawatts of solar energy from the Sun—more than 10,000 times the world’s total daily energy consumption. Despite this abundance, we only capture a tiny fraction of this energy. In 2023, solar energy accounted for just 4.5% of global electricity generation—a huge opportunity waiting to be tapped.

If we could capture just a small percentage of the Sun’s energy, we could power the entire world many times over. The total solar energy that hits the Earth in just one hour could meet the world’s energy needs for a full year. Yet, due to limitations in solar panel deployment, technology efficiency, and energy storage, the vast majority of solar energy goes unused each day.

As we improve solar technology and infrastructure, capturing more of this energy becomes not just a possibility but a necessity for a sustainable future. Let’s dive into how cutting-edge technology is making solar energy more accessible and efficient, helping to turn this untapped potential into real, usable power.

How Tech Makes Solar Adoption Easier

Customer-centric technology is revolutionizing the way we adopt solar energy. Imagine an app that allows you to simply point your smartphone at your house to estimate how many solar panels you need, their ideal placement, and the energy they can generate.

Here are the key benefits of this innovative approach:

  • Precision: By capturing images of your property through satellite, the app calculates the optimal placement of solar panels for maximum energy production. Studies have shown that precise placement can increase efficiency by up to 20%.
  • Customer Engagement: Users receive real-time insights into their energy production, helping them understand their solar power system better, whether they’re using Tesla solar panels, solar power generators, or even solar attic fans to optimize home energy usage
  • Seamless Experience: With user-friendly interfaces, consumers can easily monitor their solar systems remotely and receive updates on their energy output. This accessibility is crucial for encouraging the wider adoption of solar technologies.

The Tech-Driven Shift Toward Sustainability

As solar technology evolves, so do the solar panels themselves. Innovations like Tesla solar roof systems, flexible solar plates, and bifacial panels are redefining what’s possible in renewable energy. Even smaller systems—such as portable solar generators and solar air conditioners—empower homeowners to harness solar power efficiently.

Photovoltaic (PV)  panels, the cornerstone of solar energy, have seen incredible advancements, now boasting efficiencies of up to 22%. This means fewer panels are needed to produce more energy, making solar energy more effective for a wide range of applications, from solar shingles to off-grid systems.

Moreover, the push towards cradle-to-cradle sustainability is reshaping the industry. New solar panels are being designed with recyclability in mind, reducing their environmental footprint. Innovations in recycling technology now recover up to 95% of materials from end-of-life panels, ensuring that even the oldest solar systems contribute to a greener future.

While solar technology continues to advance, solar panels themselves are becoming more efficient and environmentally sustainable. Innovations such as systems, flexible solar plates, and bifacial solar panels are pushing the boundaries of what’s possible in renewable energy. Even smaller systems like portable solar generators and solar air conditioners are empowering homeowners to tap into the power of the Sun efficiently and sustainably.  Photovoltaic (PV) panels, the cornerstone of solar energy – now boast efficiencies of up to 22%​. This means a smaller array of solar panels for home or commercial use can generate more electricity. This makes solar energy systems more appealing and effective for various applications, from solar roof shingles to off-grid solar systems.

Moreover, the move toward cradle-to-cradle sustainability—where solar panels are built from materials that can be easily recycled—has gained traction. This reduces the environmental footprint even further. Innovations in recycling can recover up to 95% of materials from end-of-life panels, According to PV Cycle​, with room for improvement in recycling.

Making Solar Affordable and Accessible

Historically, one of the biggest barriers to solar adoption has been the cost. But things are changing fast. Innovations in financing models, such as Power Purchase Agreements (PPAs) and solar loans, have significantly reduced the financial burden of installing solar systems. According to the Solar Energy Industries Association (SEIA), the average cost of solar installation has dropped by over 70% in the last decade.

Couple that with federal and state incentives like the Investment Tax Credit (ITC), which provides a 30% tax credit on solar installations, and solar energy is more affordable than ever. Net metering programs, which allow homeowners to sell excess energy back to the grid, further enhance savings, making solar not only accessible but also financially rewarding.

Conclusion

The future of solar energy goes far beyond rooftop panels—it’s about making the entire solar experience intuitive, accessible, and sustainable. With smart apps and tech-driven tools, consumers can now manage their solar energy systems with just a few taps on their phones, making the shift to green energy simpler and more engaging.

At Mantra Labs, we’re at the forefront of this solar revolution. We’ve helped some of the world’s largest solar providers develop cutting-edge, customer-friendly solutions. Our mobile apps allow users to estimate solar panel needs, monitor system performance, and even track their environmental impact—all from the convenience of their smartphone.

Together, with innovative tech and a commitment to sustainability, we’re building a future where solar energy isn’t just an option—it’s the smarter, more accessible, and greener solution for everyone.

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