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7 Tips Every Young Startup Needs to Keep Itself Safe

When you are handholding your young startup as it takes its baby steps towards adolescence, it becomes difficult to handle all operational aspects. One critical issue that needs your attention is the security of the website and IT systems. While most small businesses do neglect this aspect, studies show that small businesses bear the brunt of these attacks. Mostly because they are unprepared against such attacks. A 2019 Ponemon report on the status of cybersecurity with small businesses showed that only 30% of the sample companies stated that they have adequate security postures against cyber threats. Understand how a secure website helps It always helps a startup if the founders understand the problem at hand. Similarly, it also helps if they are aware of the dangers of a potential data breach and the methods that can be deployed to prevent this from happening. Once you have an inkling about the issue at hand, do formalise a plan to address this issue. Devise a formidable secur...
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Cognitive Automation – What it is, its applications, and a few use cases

 Automation is a prime requirement in the digital age. Businesses are facing the need to automate their processes. There are various options available today. The use of advanced technologies can help us a lot. They can streamline our incumbent business processes. The experts must ensure secure data transfer across the company. Big companies will require huge data transfer. It can take several days for the transfer to happen. Cognitive automation uses several next-gen techniques. It can help in repetitive tasks involving high data volumes.

What cognitive automation is

Cognitive automation involves applying advanced machine learning techniques. It can help automate tasks without using manual labor. Businesses must have their workflows streamlined. It helps achieve better efficiency. Cognitive automation can help automate around 50 – 70% of their activities.

The use of cognitive automation has been increasing over the years. It can use Artificial Intelligence technologies like machine learning. You can design the algorithms to carry out various activities. It can help identify disparate sources to collect the required data. You can carry out data transfer on time and without errors.

Cognitive automation and its difference from traditional models

Cognitive automation can bridge the gap between integration tools and RPA. Traditional RPA can automate processes needing repetitive actions. They don't handle workarounds. They cannot perform contextual analysis.

Traditional RPA models followed a rigid set of algorithms. No wonder they are "click bots". The application has limited roots today. The algorithm is rigid. It is relevant only on the occurrence of simplistic flows. Traditional models failed to find meaningful data. They cannot process unstructured data.

Cognitive automation can handle both structured and unstructured data. It can manage complex processes with ease. They can help infuse cognitive abilities in the framework. It can allow the business processes handle huge volumes of texts and images.

It can handle non-routine activities

RPA can handle structured data and can handle repetitive tasks better. It cannot handle tasks that need analytics and cognitive thinking. It can manage several business activities. There are some activities requiring handling huge data volumes. They need human cognitive senses. It is possible by using cognitive automation technologies.

Cognitive automation can use the processes that go into human thinking. The technology can help carry out non-routine tasks. It can analyze unstructured and complex data. This improves decision-making and helps understand complex links. It can provide cognitive inputs to authorized users. The users can be working on specified tasks. It can add to the algorithm's logical potential. The technology can help carry out high-value functions.

Applications of cognitive automation

Cognitive automation uses artificial intelligence features. It can address interactions between computer systems and people. NLP can understand our language and bring valuable information. It can automate various processes faster. The process can relate to customer servicing and contracts handling.

It can help in optical character recognition. The technique can help in digitizing texts without problems. You can carry out data entry from various documents. They can be edited, displayed, and searched online. Machine learning technologies can help the algorithms learn from experience. The algorithms can access the required data. Businesses can use the data as inputs for future activities.

Cognitive automation has applications across multiple industries.

The technology can help service insurance policies. It can extract policy data using NLP and data mining. You can assess the possible impact of any policy changes. It can make automated decisions during claims processing.

You can use cognitive automation in the banking system. You can use it to fulfil KYC requirements against your banking accounts. It can scan public records and documents, handwritten information, etc., to perform the assessments. It can process internal transactions with elan. You need not bother about varying amounts of paperwork.

Benefits of using cognitive automation techniques

One of the significant benefits is that it removes quality issues. It is tedious for humans to carry out repetitive work. All transactional activities benefit from this technology. It can extract information from the emails sent out every day.

Cognitive automation increases the employees' skills. It can help to improve the employee satisfaction levels. It leads to lower employee turnover. As employees are happier, their tenure rise as well. It can help reduce costs for carrying out repetitive tasks. This reduces the resource allocation. It assists in digitally transforming the workflows across the company.

Cognitive automation can ensure better computing techniques. It does not remove the entire human element from the algorithm. It can assist in decision-making. Precision analysis of events is possible. In the healthcare industry, it can help augment human diagnosis. There is its own set of analytics and improve the decisions taken.

Cognitive automation can imitate the thought process of humans. It can help in better data analytics. It can collect and analyze vast volumes of data from disparate sources. It can analyze merging business patterns. The incumbent processes can be transferred to a digital platform. It can assess historical customer interactions. It becomes easier to assess any observable changes. The technology can help find other valuable information.

Conclusion

Businesses must undergo digital evolution. It will help them remain be better than their peers. They must use next-get technologies to achieve their business goals. You must identify manual activities and minimize them. You must have insights of past events. It will help insights into the future. The technology is robust and agile. It can address the requirements of multiple industries.

The advantages can enhance the quality of the workflows. It can increase scalability and reduce turnaround time. The business processes are flexible. It enhances workforce efficiency as well. It introduces a human element while assessing huge data volumes.

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