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When Computer Vision, AI and AR Come Together

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When Computer Vision, AI and AR Come Together

Intelligent automation is a fairly newer concept that various industries are yet to integrate with their operations.

Various key points make up intelligent automation which are discussed in this article.

The most promising technologies accessible to developers have augmented reality (AR), virtual reality (VR), and artificial intelligence (AI). While virtual reality (VR), developed by gamers for gamers, is mainly used for gaming and entertainment, AR is a big success in all industries. Although technologies cater to distinct audiences, they represent essential developments to look out for in the coming years.

Augmented reality combines the real world with the virtual world. Very successful examples of adopting AR are Snapchat and Pokemon Go. In a single, immersive scenario, computer-generated things co-exist and engage with the actual world. This is made feasible by combining data from several sensors, including cameras, gyroscopes, accelerometers, GPS, and others, to create a digital model of the environment that can be overlayed on the real one.

Algorithms and statistical models that can complete tasks without specific instructions make up AI (specifically, machine and deep learning). When given training data, machine learning models can identify patterns and correlations to help them accomplish their objectives. These models are the brains behind devices like sophisticated picture organizers and predictive keyboards. AI in computer vision can extract information from digital images, videos and other visual inputs and take suitable action or provide recommendations in response to that information. If AI systems give computers the ability to think, computer vision allows them to see, observe and comprehend.

Every organizational function, including finance, tax, HR, IT, supply chain, regulatory compliance and customer service, is being made more efficient by robotics. Software robots are like virtual employees who automate jobs that take a lot of time efficiently and on a large scale.

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Integrating artificial intelligence, robotics, and autonomous systems while expanding potential jobs and processes to be automated leads to intelligent automation.

In today’s society, intelligent automation has undeniable value across all industries. Businesses can lower expenses and increase consistency in their workflows by automating repetitive tasks with intelligent automation. The COVID-19 epidemic has only accelerated efforts to transform businesses into digital enterprises by spurring increased investment in infrastructure to facilitate automation. Roles will change more as remote work increases. People who have been working on low-level activities will be reassigned to higher-level responsibilities like implementing and scaling these solutions.

To maintain team members’ motivation, middle managers must focus on the more interpersonal aspects of their work. The workforce will reveal skills gaps due to automation, and workers will need to adjust to their workplaces’ constant change. To ensure that staff members are resilient throughout these times of change, middle management can also provide assistance for these transitions to reduce worry. Without a doubt, intelligent automation will revolutionize the way we work, and businesses that choose not to implement it will struggle to compete in their individual industries


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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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