TECHNOLOGY

7 Ways To Build Employee Trust in an AI-Driven Workplace

Published

1 year ago

September 5, 2023

7 Ways To Build Employee Trust in an AI-Driven Workplace

The pressure on managers to enhance productivity has grown, driven in part by the efficiencies offered by generative AI tools.

AI’s rise has also led to a crisis of trust within organizations, as employees view AI as a job threat. According to Goldman Sachs research, 66% of jobs in the US will be partially automated through artificial intelligence, while 25% of jobs will be completely automated by using AI in the US. Not only that, 29% of computer-related tasks will be automated.

Despite concerns, many fears about generative AI stem from misinformation, as AI technology has existed in various forms for decades, often unnoticed by individuals who tend to associate it with exaggerated Hollywood portrayals.

Erick Brethenoux, Gartner’s AI steering council, emphasizes that currently, there are no instances of artificial intelligence systems autonomously conducting data science without human involvement. Experts suggest that apprehensions and uncertainties surrounding generative AI tools often stem from a lack of understanding. Despite AI’s presence for over 50 years, many fail to recognize its pervasive existence. Brethenoux attributes fear to unrealistic science fiction portrayals, highlighting the prevalent hype around AI.

This article will cover seven ways in which you can build employee trust, even in an AI era.

Here are seven ways in which you can build employee trust in a world dominated by artificial intelligence.

1. Foster Transparent Communication

One of the fundamental pillars of building trust in an AI-infused workplace is transparent communication. Organizations should openly discuss their artificial intelligence initiatives, their goals, and the expected impact on employees’ roles. Transparent communication assures employees that AI is being implemented to augment their capabilities rather than replace them. Regular updates and opportunities for question and answer sessions can provide employees with a platform to voice their concerns and seek clarification, leading to a more informed and trusting workforce.

2. Invest in Employee Training and Development

The significance of fostering continuous learning and upskilling pathways cannot be overstated. Establishing avenues for ongoing education is pivotal in cultivating trust among employees. It is incumbent upon companies to allocate resources towards comprehensive training initiatives, empowering their workforce with the requisite proficiencies to collaborate harmoniously with AI systems even if they have to buy VPS hosting for it. This resolute dedication to nurturing employee growth underscores the organization’s esteem for its staff and their enduring triumphs within the enterprise.

3. Prioritize AI Solutions Centered Around People

A paramount facet of seamlessly integrating artificial intelligence into operations is the unwavering adherence to a people-centric methodology. The cardinal principle dictates that AI frameworks should be formulated to amplify and enrich human capacities rather than rendering them redundant. By actively engaging employees in the formulation of AI systems and soliciting their insights, corporations affirm their commitment to devising resolutions that impeccably dovetail with employee requisites and inclinations.

4. Provide Clear Ethical Guidelines

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The ethical use of artificial intelligence is a significant concern for employees. Establishing clear guidelines on how artificial intelligence will be used, ensuring data privacy, and mitigating bias helps alleviate employee fears. By demonstrating a commitment to responsible AI practices, organizations not only build trust but also create a positive reputation in the eyes of both employees and customers.

5. Promote the Collaboration between Humans and Artificial intelligence

Encouraging collaboration between employees and artificial intelligence systems can foster trust and enhance productivity. AI tools can assist employees in tasks that require data analysis and repetitive processes, freeing up human resources for more creative and strategic work. This collaborative environment emphasizes that artificial intelligence is a tool to aid employees rather than replace them, reinforcing a sense of value and trust.

6. Take a Proactive Approach via Job Redesign and Role Clarity

The introduction of artificial intelligence may lead to the redesign of certain job roles. Organizations should take a proactive approach to clarifying the new responsibilities and expectations associated with these roles. By involving employees in the process of defining these changes, companies can mitigate uncertainty and build trust by showing a commitment to their career growth and well-being.

7. Encourage Leadership Visibility and Support

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Leadership plays a pivotal role in building trust in an AI-driven workplace. Executives and managers should actively demonstrate their support for employees as they navigate changes due to AI adoption. By openly endorsing AI initiatives, addressing concerns, and showcasing their belief in the employees’ abilities to adapt, leaders can set a positive tone that resonates throughout the organization.

Furthermore, effective leadership in an AI-driven workplace involves not only endorsing artificial intelligence initiatives but also fostering a culture of continuous learning and skill development. Executives and managers should prioritize providing resources for upskilling and reskilling, enabling employees to acquire the necessary competencies to thrive alongside AI technologies.

Summing up

The integration of artificial intelligence into the workplace is reshaping industries and redefining traditional roles. As organizations embrace the potential of AI, they must also prioritize building and maintaining employee trust. Transparent communication, upskilling, human-centric artificial intelligence-based design, ethical guidelines, collaboration, job redesign, and strong leadership support are all essential components of fostering trust in an AI-centric world. By embracing these strategies, organizations can create an environment where employees feel valued, empowered, and prepared to succeed alongside artificial intelligence technologies.

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TECHNOLOGY

Next-gen chips, Amazon Q, and speedy S3

Published

10 months ago

December 1, 2023

Max

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.

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.

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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TECHNOLOGY

HCLTech and Cisco create collaborative hybrid workplaces

Published

10 months ago

November 29, 2023

Max

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.”

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.

Tags: Cisco, collaboration, HCLTech, Hybrid, meetings

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TECHNOLOGY

Canonical releases low-touch private cloud MicroCloud

Published

10 months ago

November 28, 2023

Max

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.

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.

Tags: automation, Canonical, MicroCloud, private cloud

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