TECHNOLOGY

How AI Recruiting Tools Can Help with Diversity Hiring

Published

1 year ago

April 23, 2023

How AI Recruiting Tools Can Help with Diversity Hiring

AI recruiting has become the talk of the town again, with AI chatbots gaining mainstream popularity.

On the other hand, diversity hiring in the workplace is also solidifying itself as a must-have instead of a hiring trend. A diverse workforce helps with employer branding and is a channel of creativity, camaraderie, and cash flow. However, hiring for diversity is a challenge for recruiters for both sourcing and bandwidth issues. Fortunately, both of these can be addressed by AI recruiting tools that come with in-build diversity features.

In this article, we’ll discuss the importance of diversity hiring, what roles ai recruiting can play in it, and some pertinent questions surrounding the two.

But to start with, let’s understand what AI recruitment is.

AI recruiting refers to the use of artificial intelligence (AI) technology in the hiring process. AI can be used in various ways, such as resume screening, candidate matching, and interview scheduling. AI algorithms can help streamline the recruitment process, reduce bias, and improve the quality of hires.

Diversity hiring refers to the practice of actively seeking out and hiring candidates from diverse backgrounds, such as different races, genders, ages, religions, and cultures. Diversity hiring is important because it promotes equal employment opportunities, fosters an inclusive work environment, and brings a range of perspectives and experiences to the organization.

Deeper than Diversity Its Time to Take DEI Seriously

Reducing Bias in the Screening Process

AI recruiting tools can use algorithms to scan resumes and job applications for key qualifications, skills, and experiences without considering demographics like gender, race, or age. This can help ensure that all candidates are evaluated based solely on their qualifications rather than any personal characteristics that might influence bias.

Identifying Diverse Candidates

AI recruiting tools can use machine learning algorithms to analyze job descriptions and identify language that might discourage or exclude certain groups. Additionally, AI tools can also search for candidates from a wider range of sources, including those outside of the traditional talent pool, increasing the likelihood of finding diverse candidates.

Reducing Time to Hire

AI recruiting tools can automate many aspects of the hiring process, reducing the time it takes to find and engage diverse candidates. This can help companies fill open positions more quickly and efficiently.

Improving Candidate Engagement

AI recruiting tools can personalize candidate communications, such as interview scheduling and follow-up messages. This can help create a more positive candidate experience and can also help to engage a more diverse candidate pool.

Analyzing Candidate Data

AI recruiting tools can use machine learning algorithms to analyze candidate data and identify patterns that might indicate bias in the hiring process. This can help employers to proactively address any potential biases and create a more inclusive hiring process.

Providing Analytics and Insights

AI recruiting tools can generate reports and analytics that help employers measure the effectiveness of their diversity hiring efforts. This can help companies identify areas for improvement and track progress over time.

Facilitating Remote Hiring

AI recruiting tools can facilitate remote interviews and evaluations, making it easier to reach diverse candidates who may not be able to travel or attend in-person interviews.

4 Recruiter Biases that Cost Organizations min

While convenient, it’s also worth noting that it’s not that simple to put an AI recruitment tool for meeting diversity goals. You need to keep an eye out on the outcome, process, and consent as well to ensure a lawful and ethical hiring process.

While there are a plethora of AI recruitment tools in the market, we suggest you consider the following factors to choose the one that gets the diversity hiring right:

Tool with Diversity Built-In

Look for a AI recruitment tool that is designed with diversity in mind, with features like blind resume screening and language analysis to help reduce bias and increase diversity in the candidate pool.

Documented AI Algorithms

Choose a tool that provides transparency and accountability, with clear documentation of the algorithms and data sources used and regular auditing to ensure fairness and accuracy.

Secured Data and Privacy

Candidate data is sensitive information, and it’s important that any AI recruitment tool you use follows best practices for data protection and has a clear policy on how candidate data is collected, stored, and used.

How Chatbots Neatly Slot Into Your HR Recruitment Programs

As the adoption of AI recruitment increases among employers across the US, we can expect a shift in hiring practices. Experts believe that the features of AI hiring tools will free recruiters of manual, repetitive tasks and enable them to focus on more nuanced ones like engaging with candidates. Along this line, setting up and sticking to the diversity hiring goals of the organization will become more commonplace. However, do keep in mind that workplace diversity does not end with hiring but also requires a fostering culture to make the most of it.

A Wrong Job Description Could Stretch Your Recruitment Process Time

What are Examples of AI in Recruiting?

Examples of AI in recruiting include chatbots, resume screening tools, and video interview analysis software.

What is the Future of AI in Recruitment?

The future of AI in recruitment is likely to see increased use of predictive analytics and machine learning to identify high-potential candidates.

What is Meant by Workplace Diversity?

Workplace diversity refers to the range of differences among employees in terms of age, race, gender, ethnicity, religion, and other factors.

Why is Diversity Important in Hiring?

Diversity is important in hiring because it promotes innovation, creativity, and a wider range of perspectives, leading to better business outcomes.

Can AI Recruitment Tools help in Diversity Hiring?

Yes, AI recruitment tools can help in diversity hiring by reducing bias, increasing efficiency, and identifying diverse candidates from a wider range of sources.

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TECHNOLOGY

Next-gen chips, Amazon Q, and speedy S3

Published

5 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.

TECHNOLOGY

HCLTech and Cisco create collaborative hybrid workplaces

Published

5 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

TECHNOLOGY

Canonical releases low-touch private cloud MicroCloud

Published

5 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