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How Artificial Intelligence Can Bring People Together

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How Artificial Intelligence Can Bring People Together

Artificial intelligence (AI) enables people to spend more time with those that matter the most.

AI is bringing people together, whether it’s assisting in the planning of a family vacation, getting to a place securely, allowing everyone to see each other on a video call, or making gift shopping a little easier.

The continuous evolution of AI has the potential to revolutionize the way we live, work, and interact with each other.

While AI is often portrayed as a divisive force that could lead to job losses and social inequality, it also has the power to bring people together and create new opportunities for collaboration and cooperation. In this article, we will explore some of the ways in which AI can be used to bridge social, cultural, and linguistic barriers and foster greater understanding and empathy among diverse communities.

1. Breaking Down Language Barriers

Breaking_Down_Language_Barriers.png

Source: Nature Magazine

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One of the most significant benefits of AI is its ability to facilitate communication across different languages. Machine learning algorithms can now accurately translate spoken or written language in real-time, allowing people who speak different languages to communicate with each other more easily. This technology has been particularly valuable for businesses operating in global markets, enabling them to connect with customers and partners from different regions and cultures.

The benefits of AI-powered translation extend beyond the business world. For example, the United Nations has been using AI-powered translation to help bring together representatives from different countries and facilitate discussions on important global issues. By breaking down language barriers, AI is helping to promote greater collaboration and understanding among people from diverse backgrounds.

2. Enhancing Cross-Cultural Empathy

Another way in which AI can bring people together is by enhancing cross-cultural empathy. Artificial intelligence can be combined with virtual reality (VR) and augmented reality (AR) technologies to enable people to experience different cultures and perspectives in a more immersive and engaging way. By simulating real-world scenarios and environments, AI can help people to better understand and appreciate different cultures, religions, and ways of life.

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Source: Science Direct

AI-powered chatbots are also being used to promote cross-cultural empathy. These chatbots are programmed to engage in conversations with users from different cultures and backgrounds, using natural language processing and machine learning algorithms to understand and respond to different communication styles and cultural norms. By promoting greater empathy and understanding, AI-powered chatbots can help to break down social and cultural barriers and foster greater social cohesion.

3. Improving Access to Healthcare

AI is also being used to improve access to healthcare, particularly in underserved and marginalized communities. For example, AI-powered diagnostic tools can help to identify diseases and conditions more accurately and quickly than traditional diagnostic methods. This technology is particularly valuable in developing countries, where access to healthcare is often limited, and where the burden of disease is highest.

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Source: Deloitte

In addition, AI-powered chatbots and virtual assistants are being used to provide healthcare information and support to patients in remote or underserved areas. These chatbots can answer common medical questions, provide basic health advice, and even monitor patients’ symptoms and suggest appropriate treatments. By improving access to healthcare, AI is helping to promote better health outcomes and reduce healthcare disparities, bringing people together by improving the quality of life for everyone.

4. Promoting Social Inclusion

Artificial intelligence can help to promote social inclusion by creating new opportunities for people with disabilities and other marginalized groups. For example, AI-powered assistive technologies can help people with visual or hearing impairments to navigate their environment more easily, communicate with others, and access information more effectively. These technologies can also help to break down barriers to education and employment, providing new opportunities for people who might otherwise be excluded from these areas.

Promoting_Social_Inclusion.png
Source: McKinsey

AI-powered social networks and online communities can also help to bring people with similar interests and experiences together, regardless of their physical location or social background. These communities can provide a sense of belonging and support, and can help to break down social barriers by connecting people who might not otherwise have the opportunity to interact with each other.

Conclusion

Artificial intelligence has the potential to bring people together in a variety of ways, from breaking down language barriers to promoting social inclusion and empathy. By harnessing the power of AI, we can create a more connected and inclusive society, where people from diverse backgrounds can come together to collaborate, learn from each other, and share their experiences.

It is important to state that AI is not a panacea for social problems. Like any technology, AI can be used for both good and bad purposes, and its impact depends largely on how it is developed and deployed. It is therefore essential to ensure that AI is developed in a responsible and ethical manner, taking into account the potential risks and unintended consequences of its use.

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Moreover, it is important to recognize that AI is not a substitute for human interaction and connection. While AI can help to facilitate communication and understanding across different cultures and languages, it cannot replace the depth and richness of face-to-face interaction and human connection.

Artificial intelligence has the potential to bring people together and create a more connected and inclusive society. By breaking down barriers to communication, promoting cross-cultural empathy, improving access to healthcare, and promoting social inclusion, AI can help to foster greater understanding, collaboration, and social cohesion. However, it is important to ensure that AI is developed and deployed in a responsible and ethical manner, and to recognize that it is not a substitute for human interaction and connection.

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Next-gen chips, Amazon Q, and speedy S3

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AWS re:Invent, which has been taking place from November 27 and runs to December 1, has had its usual plethora of announcements: a total of 21 at time of print.

Perhaps not surprisingly, given the huge potential impact of generative AI – ChatGPT officially turns one year old today – a lot of focus has been on the AI side for AWS’ announcements, including a major partnership inked with NVIDIA across infrastructure, software, and services.

Yet there has been plenty more announced at the Las Vegas jamboree besides. Here, CloudTech rounds up the best of the rest:

Next-generation chips

This was the other major AI-focused announcement at re:Invent: the launch of two new chips, AWS Graviton4 and AWS Trainium2, for training and running AI and machine learning (ML) models, among other customer workloads. Graviton4 shapes up against its predecessor with 30% better compute performance, 50% more cores and 75% more memory bandwidth, while Trainium2 delivers up to four times faster training than before and will be able to be deployed in EC2 UltraClusters of up to 100,000 chips.

The EC2 UltraClusters are designed to ‘deliver the highest performance, most energy efficient AI model training infrastructure in the cloud’, as AWS puts it. With it, customers will be able to train large language models in ‘a fraction of the time’, as well as double energy efficiency.

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As ever, AWS offers customers who are already utilising these tools. Databricks, Epic and SAP are among the companies cited as using the new AWS-designed chips.

Zero-ETL integrations

AWS announced new Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon Relational Database Services (Amazon RDS) for MySQL integrations with Amazon Redshift, AWS’ cloud data warehouse. The zero-ETL integrations – eliminating the need to build ETL (extract, transform, load) data pipelines – make it easier to connect and analyse transactional data across various relational and non-relational databases in Amazon Redshift.

A simple example of how zero-ETL functions can be seen is in a hypothetical company which stores transactional data – time of transaction, items bought, where the transaction occurred – in a relational database, but use another analytics tool to analyse data in a non-relational database. To connect it all up, companies would previously have to construct ETL data pipelines which are a time and money sink.

The latest integrations “build on AWS’s zero-ETL foundation… so customers can quickly and easily connect all of their data, no matter where it lives,” the company said.

Amazon S3 Express One Zone

AWS announced the general availability of Amazon S3 Express One Zone, a new storage class purpose-built for customers’ most frequently-accessed data. Data access speed is up to 10 times faster and request costs up to 50% lower than standard S3. Companies can also opt to collocate their Amazon S3 Express One Zone data in the same availability zone as their compute resources.  

Companies and partners who are using Amazon S3 Express One Zone include ChaosSearch, Cloudera, and Pinterest.

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Amazon Q

A new product, and an interesting pivot, again with generative AI at its core. Amazon Q was announced as a ‘new type of generative AI-powered assistant’ which can be tailored to a customer’s business. “Customers can get fast, relevant answers to pressing questions, generate content, and take actions – all informed by a customer’s information repositories, code, and enterprise systems,” AWS added. The service also can assist companies building on AWS, as well as companies using AWS applications for business intelligence, contact centres, and supply chain management.

Customers cited as early adopters include Accenture, BMW and Wunderkind.

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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HCLTech and Cisco create collaborative hybrid workplaces

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Digital comms specialist Cisco and global tech firm HCLTech have teamed up to launch Meeting-Rooms-as-a-Service (MRaaS).

Available on a subscription model, this solution modernises legacy meeting rooms and enables users to join meetings from any meeting solution provider using Webex devices.

The MRaaS solution helps enterprises simplify the design, implementation and maintenance of integrated meeting rooms, enabling seamless collaboration for their globally distributed hybrid workforces.

Rakshit Ghura, senior VP and Global head of digital workplace services, HCLTech, said: “MRaaS combines our consulting and managed services expertise with Cisco’s proficiency in Webex devices to change the way employees conceptualise, organise and interact in a collaborative environment for a modern hybrid work model.

“The common vision of our partnership is to elevate the collaboration experience at work and drive productivity through modern meeting rooms.”

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Alexandra Zagury, VP of partner managed and as-a-Service Sales at Cisco, said: “Our partnership with HCLTech helps our clients transform their offices through cost-effective managed services that support the ongoing evolution of workspaces.

“As we reimagine the modern office, we are making it easier to support collaboration and productivity among workers, whether they are in the office or elsewhere.”

Cisco’s Webex collaboration devices harness the power of artificial intelligence to offer intuitive, seamless collaboration experiences, enabling meeting rooms with smart features such as meeting zones, intelligent people framing, optimised attendee audio and background noise removal, among others.

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.

Tags: Cisco, collaboration, HCLTech, Hybrid, meetings

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Canonical releases low-touch private cloud MicroCloud

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Canonical has announced the general availability of MicroCloud, a low-touch, open source cloud solution. MicroCloud is part of Canonical’s growing cloud infrastructure portfolio.

It is purpose-built for scalable clusters and edge deployments for all types of enterprises. It is designed with simplicity, security and automation in mind, minimising the time and effort to both deploy and maintain it. Conveniently, enterprise support for MicroCloud is offered as part of Canonical’s Ubuntu Pro subscription, with several support tiers available, and priced per node.

MicroClouds are optimised for repeatable and reliable remote deployments. A single command initiates the orchestration and clustering of various components with minimal involvement by the user, resulting in a fully functional cloud within minutes. This simplified deployment process significantly reduces the barrier to entry, putting a production-grade cloud at everyone’s fingertips.

Juan Manuel Ventura, head of architectures & technologies at Spindox, said: “Cloud computing is not only about technology, it’s the beating heart of any modern industrial transformation, driving agility and innovation. Our mission is to provide our customers with the most effective ways to innovate and bring value; having a complexity-free cloud infrastructure is one important piece of that puzzle. With MicroCloud, the focus shifts away from struggling with cloud operations to solving real business challenges” says

In addition to seamless deployment, MicroCloud prioritises security and ease of maintenance. All MicroCloud components are built with strict confinement for increased security, with over-the-air transactional updates that preserve data and roll back on errors automatically. Upgrades to newer versions are handled automatically and without downtime, with the mechanisms to hold or schedule them as needed.

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With this approach, MicroCloud caters to both on-premise clouds but also edge deployments at remote locations, allowing organisations to use the same infrastructure primitives and services wherever they are needed. It is suitable for business-in-branch office locations or industrial use inside a factory, as well as distributed locations where the focus is on replicability and unattended operations.

Cedric Gegout, VP of product at Canonical, said: “As data becomes more distributed, the infrastructure has to follow. Cloud computing is now distributed, spanning across data centres, far and near edge computing appliances. MicroCloud is our answer to that.

“By packaging known infrastructure primitives in a portable and unattended way, we are delivering a simpler, more prescriptive cloud experience that makes zero-ops a reality for many Industries.“

MicroCloud’s lightweight architecture makes it usable on both commodity and high-end hardware, with several ways to further reduce its footprint depending on your workload needs. In addition to the standard Ubuntu Server or Desktop, MicroClouds can be run on Ubuntu Core – a lightweight OS optimised for the edge. With Ubuntu Core, MicroClouds are a perfect solution for far-edge locations with limited computing capabilities. Users can choose to run their workloads using Kubernetes or via system containers. System containers based on LXD behave similarly to traditional VMs but consume fewer resources while providing bare-metal performance.

Coupled with Canonical’s Ubuntu Pro + Support subscription, MicroCloud users can benefit from an enterprise-grade open source cloud solution that is fully supported and with better economics. An Ubuntu Pro subscription offers security maintenance for the broadest collection of open-source software available from a single vendor today. It covers over 30k packages with a consistent security maintenance commitment, and additional features such as kernel livepatch, systems management at scale, certified compliance and hardening profiles enabling easy adoption for enterprises. With per-node pricing and no hidden fees, customers can rest assured that their environment is secure and supported without the expensive price tag typically associated with cloud solutions.

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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Tags: automation, Canonical, MicroCloud, private cloud

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