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How Hyperautomation Can Transform the Service Sector

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How Hyperautomation Can Transform the Service Sector

Creating an enterprise automation process is the ultimate objective of hyperautomation in businesses.

It consists of a framework and a collection of cutting-edge technologies for expanding automation in businesses.

A thorough approach to automation is known as “Hyperautomation”. The selection of tasks to automate is a step in the hyperautomation practice. By reusing automated processes, it fosters agility by choosing automation tools. Additionally, it increases its capabilities by utilizing several types of AI and machine learning. A center of excellence coordinates all hyperautomation projects and helps to speed up the automation process. Hyperautomation also lowers costs, boosts productivity and enhances efficiencies in the service industry. Additionally, it uses the data produced by automated strategies, which businesses can use to generate quicker and wiser business decisions. The limits of what is possible with conventional automation have been stretched by hyperautomation. Enterprises can now use a collection of cutting-edge technologies that enable process mining, intelligent business process management (iBPM), robotic process automation (RPA) and machine learning rather than relying on a single technology or job automation (ML). It involves more than just fusing technology. Robotics Process Automation handles administrative procedures in the retail sector and simplifies fundamental duties like product scanning and inventory management. Better customer relationship management, cost savings, enhanced audit capabilities, improved productivity, and many other benefits follow the initiation of hyperautomation in businesses. RPA can assist businesses in foreseeing market fluctuations and preparing to satisfy changing customer demands. Additional teams are involved in a traditionally automated business approach. Let’s use a standard order-to-cash procedure as an illustration. For example, email communication might make it challenging to track order processing times and obscure bottlenecks. On the other side, businesses can acquire end-to-end visibility of the process, including bottlenecks and missed Service Level Agreements or SLAs, by combining technologies like RPA and intelligent document processing.

A layer of orchestration enhances the usual automation technique in hyperautomation. Hyperautomation can completely change the way that industries operate in the future since human intelligence and technology work hand in hand. Let’s examine a few of the tools that make up hyperautomation:

Robotic Process Automation

It is no longer necessary to spend many hours performing tedious administrative duties that can be delegated to software bots thanks to robotics process automation (RPA). RPA bots automate tasks quicker than a human would, freeing up human time for more creative and productive work. Whether web scraping, account reconciliation, invoice processing or CRM record auto-updating, this technology has changed how organizations operate. The software bots shorten cycle times, increase throughput and accuracy, and enhance flexibility, scalability and resource efficiency. All repetitive operations can be automated when processing insurance claims, which is a complicated procedure. For example, client data for the claims can be handled by instructing the bot to retrieve data from specific sites and create the report.

Doc AI

Around 80% of the world’s data is unstructured, according to IBM’s estimations. Doc AI can be used to decipher enormous amounts of dark data and extract insightful information from it. Natural language processing (NLP), intelligent optical character recognition (OCR), and machine learning are examples of technologies that fall under the umbrella of artificial intelligence. It aids businesses in becoming insight-driven organizations (IDO). Conversational FAQ, form processing, contract administration, reading bank statements and invoice processing are a few of its uses.

Smart Business Process Management

Traditional BPM platforms enhance the efficiency and effectiveness of business process operations. The foundation of hyperautomation is low-code Intelligent Business Process Management (IBPM), which adds intelligence and analytics to the typical BPM solution. IBPM enhances company operations by fusing AI, cloud capability, analytics and complicated event processing.

Analytics

In all businesses, analytics converts data into information. It aids in outcome prediction and generates recommendations for maximizing ROI based on historical trends. Analytics platforms have built-in dashboards where users can view helpful information that helps with decisions in the company’s supply chain, customer, workforce, financial and risk areas.

Natural Language Processing

NLP examines semi-structured, structured and unstructured documents to find, extract and use the data they contain for additional research. A few examples of Natural Language Processing include invoice processing, text categorization, spam filtering, contract analysis, contextual proofreading and slang detector, mood sensor, summarization, and other tasks. By analyzing the sentiment in the text, the integration of NLP into RPA aids businesses in improving the customer experience.

The core automation capabilities of an organization are expanded by hyperautomation. RPA and other cutting-edge technologies are used in order to accomplish this. Businesses may benefit from the following as a result:

Process Automation

RPA can be used by businesses to automate laborious and repetitive processes. The work of their staff is made easier as a result, but hyperautomation goes further. Combining a variety of technologies, techniques and components will enable businesses to boost automation. Additionally, this facilitates the company’s existing tasks and enhances its capacity for productivity.

Improved Returns On Investments

Any change or initiative aims to advance the objectives of the company. Hyperautomation has a significant positive impact on businesses and improves ROI. The billing process can be optimized with hyperautomation. Automating the multi-layered, end-to-end method achieves this, resulting in favorable results and profits.

Increased Data Access and Storage Capabilities

By using cutting-edge software and procedures, hyperautomation seeks to increase productivity. Businesses can anticipate smoother user-infrastructure interactions. Another crucial component of digital transformation is system integration. The proliferation of hybrid and multi-cloud technologies is to thank for this. All essential components are accessible through centralized storage since all business systems can link with ease. Further optimizing these relationships is the use of hyperautomation, artificial intelligence and machine learning.

Below are a few use case scenarios for improving business operations with the assistance of hyperautomation.

Consumer Assistance

Consumer expectations are always increasing. Companies are searching for strategies to speed up response time. They want to respond right away to client complaints. Their goal is to communicate effectively through all channels. Integrating hyperautomation technologies into the system is simply accomplished. They can act as the client’s first point of contact. Before directing customers to particular departments, they can respond to and sort queries. This can lessen the manual labor required for routine chores. The customer can be engaged at live contact points and connected to the right customer service representative for a speedy resolution.

Lead Generation

A majority of corporations criticize their outreach-boosting marketing strategies. They underline how crucial lead creation is, despite how difficult it is. Most visitors are reluctant to disclose their personal information. Businesses can collect IP addresses and other important information from incoming traffic with the use of hyperautomation. On their website or app, they can then monitor customer behaviors. This information is immediately saved and forwarded to a platform for outreach. It becomes simpler to separate the targeted audience from incoming traffic. Businesses specifically improve their offerings to boost sales. They can target certain potential customers with their advertising and easily communicate with these profiles. All touchpoints in this process are automated, including responses from sales representatives.

Invoices Payable

This involves carrying out numerous accounts payable procedures on a huge scale. It may take a lot of time and repetition, which could cause delays or defaults. But hyperautomation has made it easier to simplify processes. It unifies available information into a single data system and standardizes invoicing formats. ML and document extraction methods are used as inputs.These technologies include pre-existing RPAs and optical character recognition (OCR). They are given a push to make the process easier, from acceptance of invoice to payment, without any outside assistance.

Human intervention is quite limited in this process compared to the conventional method. The present focus is on hyperautomation, and all businesses must embark on this path to accomplish digital transformation and continual development for better results. Organizations from various industries are reducing their reliance on human resources to implement digital transformation and improve human skills. The main force behind this change is hyperautomation. In the service industry, hyperautomation is a fusion of cutting-edge technologies. Many processes can be automated as a result. Hyperautomation in businesses is becoming more and more popular. To stay competitive, businesses need to implement hyperautomation to maintain an advantage for those who have already accepted the strategy. Businesses can achieve this by evaluating current procedures and making sure the toolset is still suitable. They must use contemporary tools wisely and effectively, just like a company would with any other technology. As a result, businesses want to select hyperautomation solutions and software that can work together. Hyperautomation in the service industry also creates a coordinated environment. The employees’ ability to work is made simple by these automated operations. Additionally, it facilitates their cooperation and collective effort to reach organizational goals.

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The Dark Side of Killer Drones

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The Dark Side of Killer Drones

Killer drones, also known as unmanned aerial vehicles (UAVs), have been a topic of much debate in recent years.

On one hand, these drones have the potential to be used for a variety of beneficial purposes, such as surveillance, search and rescue, and targeted killing of terrorists. On the other hand, there are serious concerns about the potential negative consequences of using killer drones, such as the loss of innocent lives, violation of international laws, and the psychological impact on both the drone operators and the communities affected. In this article, we will explore the dark side of killer drones.

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Source: Crown Copyright/ BBC

1. More Innocent Casualties

One of the primary concerns about the use of killer drones is the risk of innocent casualties. Drones are often used in conflict zones, where the situation is often complex and fluid, making it difficult to accurately identify targets. As a result, there have been numerous reports of innocent civilians being killed or injured in drone strikes. For example, a report by the Bureau of Investigative Journalism estimated that between 384 and 807 civilians have been killed in drone strikes in Pakistan between 2004 and 2019.

2. Violation of International Laws

Another major concern about the use of killer drones is the potential violation of international laws. The use of drones in conflict zones raises questions about the legality of targeted killings, the right to due process, and the protection of civilians. The United Nations has called for greater transparency and accountability in the use of drones, and several human rights organizations have criticized the use of drones as a violation of international law. For instance, in 2013, a report by Human Rights Watch found that the US drone program in Yemen was violating international law, including the right to life and the prohibition against arbitrary killing.

3. Psychological Impact on Operators

The use of killer drones also has a significant psychological impact on the operators who are responsible for carrying out the strikes. Drone operators often suffer from symptoms of post-traumatic stress disorder (PTSD), anxiety, and depression. This is partly due to the fact that drone operators are often required to carry out long-distance killings, often for extended periods of time, and the fact that they are often isolated from the consequences of their actions. For example, a study by the University of Utah found that drone operators were more likely to experience symptoms of PTSD and depression compared to other military personnel.

4. Stronger Dammage on Communities

The use of killer drones also has a significant psychological impact on the communities affected by the strikes. The constant threat of drone attacks can cause significant stress and anxiety, leading to social and economic disruption. For instance, a report by the International Human Rights and Conflict Resolution Clinic found that drone strikes in Pakistan had a significant psychological impact on the local population, including symptoms of anxiety, stress, and depression.

Conclusion

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Sources: Thales, General Atomics, Northdrop Grumman, EMT Penzberg, Prox Dynamics | © DW

The use of killer drones raises serious concerns about the potential for innocent casualties, violation of international laws, and the psychological impact on both the drone operators and the communities affected. The negative consequences of using killer drones far outweigh the benefits, and it is imperative that steps are taken to limit their use and ensure greater transparency and accountability. The international community must work together to establish clear guidelines for the use of drones, to ensure that they are used only in a manner that is consistent with international law and human rights.

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Vodafone Ireland turns to Amdocs to drive enhanced customer experience

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Cloud Computing News

Duncan is an award-winning editor with more than 20 years experience in journalism. Having launched his tech journalism career as editor of Arabian Computer News in Dubai, he has since edited an array of tech and digital marketing publications, including Computer Business Review, TechWeekEurope, Figaro Digital, Digit and Marketing Gazette.


Vodafone Ireland has chosen Amdocs, a provider of software and services to communications and media companies, to transition its infrastructure and application workloads to the cloud, enabling an enhanced customer experience and rapid adoption of the latest 5G innovations.

Under the agreement, Amdocs Customer Experience Suite (CES) will migrate from Vodafone Ireland on-premise to the cloud, providing the Irish operator with greater flexibility and capacity to support its future growth.  

Mairead Cullen, CIO at Vodafone Ireland, said: “Moving to the cloud is a key part of our strategy as we look to become even more dynamic, agile and responsive to our customers’ needs. We have a long-standing relationship with Amdocs and we’re pleased to be collaborating with them on this important initiative.”

Anthony Goonetilleke, group president of technology and head of strategy at Amdocs, said: “By migrating its IT services infrastructure to the cloud, Vodafone Ireland can ensure it has the foundations in place to achieve growth and further enhance the experience of its customers.

“We are excited to be taking such a central role in the company’s cloud strategy.”

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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How to Align Data and Analytics Governance with Business Outcomes

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How to Align Data and Analytics Governance with Business Outcomes

With access to large amounts of data made available to businesses, maintaining and governing the kind of data that is accessible to users have become significantly essential.

Proper data and analytics governance in organizations can help them in achieving on-point data and analytics processes.

The use of data and analytics is increasing across practically all industries. Due to the availability of inexpensive storage alternatives, organizations have access to more data. It’s not surprising that the usage of analytics due to access to extensive data has expanded to every part of the company when you take into account the growing number of user-friendly tools for managing, retrieving, and analyzing data. 

However, a lot of effort goes into managing data and analytics. Thus, organizations must ensure that their efforts are aligned with their business priorities, and the data is accurate in nature and thoroughly secured. Without analytics governance, even if the organization has a good hold on its data governance policies, the advantages of establishing policies and processes to govern the analytics process still stand. As data governance guarantees your business has processes and standards around the use of data, analytics governance provides the same level of oversight to the way analytics initiatives are built and delivered.

Aligning Data and Analytics Governance

Data and analytics governance initiatives must be closely related to organizational strategies. However, businesses frequently base their data and analytics governance processes on data rather than the business. Here are a few points on how businesses can align their data and analytics governance with their business outcomes.

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Trusted Governance

Forming business decisions based on the notion that “all data is equal” is no longer a sound strategy because data and analytics capabilities exist across a company and differ in nature. Instead, create a paradigm of trust-based governance that allows for a dispersed data and analytics ecosystem and is able to help business executives make decisions that are more confidently appropriate to the circumstances.

Digitization

With the essence of developing technology, digitization has taken over almost every business to stay relevant in the market. However, for businesses to gain the best outcomes from the digital space, digitization is essential. And for successful digitization, data and analytics governance must function based on factors like digital ethics and transparency. Therefore, ensuring that the values and concepts of digitization are reflected in the data and analytics governance is crucial to significantly align it with business outcomes.

Data Security

Today, organizations are aware of the potential risks associated with their businesses and securing data has become a necessity. This awareness implies that they address both the threats and the possibilities brought about by data and analytics. Organizations frequently manage risk and market potential independently, and they also do not really prioritize information security when assessing business results. Therefore, data and analytics governance authorities should have interdisciplinary teams capable of making decisions that are well-balanced, giving risk, opportunities, and security the appropriate weight while considering the organizations’ future interests in mind.

 

Today, businesses are aware of the fact that without effective data and analytics governance, their initiatives and investments in data and analytics won’t be able to satisfy important organizational goals like increased revenue, cost reduction, and improved customer experiences. Therefore, aligning it with business outcomes is critical for business success.

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