TECHNOLOGY

Why You Should Use AI For Hiring

Published

4 months ago

July 28, 2023

In today’s fast-paced and competitive job market, organizations are continually looking for ways to streamline their hiring procedures and effectively locate the finest individuals.

Artificial intelligence (AI) is a vital tool that has evolved in recent years. Regarding hiring, AI technology may help with everything from speeding up candidate screening to decreasing bias and increasing overall candidate experience. Businesses may optimize their recruitment strategies and make data-driven decisions by harnessing AI’s capabilities, resulting in more effective and successful hires. In this post, we will examine why AI should be considered for hiring, emphasizing its potential to revolutionize how organizations identify and pick talent.

Artificial Intelligence Can Take Your Hiring Strategy to the Next Level

3 Ways Sports Teams Are Leveraging Artificial Intelligence

The use of artificial intelligence technologies and algorithms to expedite and improve various parts of the employment process is referred to as AI in hiring. It entails applying machine learning, natural language processing (NLP), data analytics, and other artificial intelligence (AI) tools such as to automate activities, analyze candidate data, and make data-driven hiring decisions. AI in hiring can be used at several stages, including resume screening, applicant sourcing, interview scheduling, candidate evaluation, and even onboarding. Organizations hope to improve the efficiency, objectivity, and effectiveness of their recruitment operations by harnessing AI while minimizing human bias and subjectivity.

Six Reasons to Leverage Artificial Intelligence in Hiring

3 Ways Intelligent Process Automation IPA is Knocking at the Doors of the Recruitment World

There are numerous reasons why adopting AI for hiring can be advantageous. Here are some significant benefits:

1. Efficient hiring

According to Vikram Seth, CEO of Ducknowl, “Efficient screening is one of the primary benefits of employing AI in hiring”. When dealing with a large volume of applications, traditional resume screening can be a time-consuming process. AI-powered screening systems can automate this task, reducing the time and effort necessary dramatically. Artificial intelligence algorithms can quickly analyze resumes and applications, extracting pertinent information such as work experience, education, talents, and credentials. These algorithms can be trained to recognize keywords, phrases, and patterns that correspond to job posting requirements.

AI algorithms may develop a shortlist of the most qualified candidates by matching candidate profiles to job descriptions, saving recruiters and hiring managers considerable time. Furthermore, AI screening technologies can prioritize applications based on predetermined criteria, such as specific abilities or years of experience, ensuring that the best candidates receive the most attention. Rather than spending hours on manual screening, recruiters can focus their efforts on reviewing and engaging with the top applicants.

2. Improved applicant matching

Another big advantage of employing AI in hiring is enhanced candidate matching. AI algorithms can analyze and match job requirements with candidate profiles accurately and objectively, resulting in better recruiting decisions. AI systems can use machine learning techniques to find trends and success indicators based on past data.

AI algorithms can learn what attributes and skills are most likely to contribute to success in a particular role by analyzing prior recruiting outcomes and employee performance data. This allows the system to evaluate candidates based on characteristics other than traditional criteria like education and work experience. Furthermore, AI algorithms may evaluate candidates based on a wide range of data points, including talents, certifications, industry-specific expertise, and even soft skills. This all-encompassing approach to applicant matching can lead to more exact and accurate assessments, increasing the likelihood of finding the best fit for a certain role.

Organizations can save time and effort in manually evaluating resumes and qualifications by automating candidate matching with AI. Because AI algorithms make decisions based on objective facts and preset criteria, they can also lessen the potential of human bias impacting the selection process. As a result, organizations may make better informed and more objective hiring decisions that are further aligned with the job needs, resulting in better overall recruitment outcomes.

3. Reduced bias

Using AI in hiring can help greatly reduce prejudice in the recruitment process. Human prejudice, whether conscious or unconscious, has long been a source of difficulty in traditional recruiting practices. AI technologies offer a viable solution to this problem. AI algorithms evaluate candidates using objective criteria and qualifications, eliminating human subjectivity and potential prejudices based on aspects such as gender, color, ethnicity, or age. These algorithms assess candidate suitability using data-driven insights and preset measures, delivering fair and unbiased judgment.

Organizations can combat prejudice in a variety of ways by utilizing AI. To begin, artificial intelligence algorithms can anonymize applicant data by deleting personally identifiable information from resumes and applications. Additionally, biased wording in job descriptions and postings can be found and removed using AI-powered techniques. To ensure diversity and draw a wider range of applications, they can advise different wording.

The use of AI in hiring generally lowers the possibility of unconscious bias and encourages equity and diversity in the selection process. Organizations may create more diverse workforces by using objective and data-driven evaluations that prioritize talent and credentials above unimportant human characteristics.

4. Data-driven insights

The production of data-driven insights is one of the major benefits of adopting AI in hiring. AI technology can analyze vast amounts of data gathered throughout the recruitment process, giving organizations useful information and actionable insights. AI systems can uncover patterns and trends by collecting and analyzing data on candidate profiles, application sources, screening results, interview outcomes, and hiring decisions. AI can analyze data to determine the best sourcing channels, job boards, and recruitment platforms for attracting high-quality individuals. It can also reveal which evaluation methods or interview questions produce the greatest results, allowing organizations to fine-tune their recruitment strategy accordingly.

AI algorithms can uncover trends that correspond with successful hires by reviewing past data on candidate qualifications, experience, and performance. This enables organizations to forecast the probable performance of individuals based on objective facts, allowing for better-informed decision-making. AI algorithms may examine diversity metrics within the candidate pool, allowing organizations to quantify and monitor their progress in fostering diversity and inclusion. The findings of this investigation can help organizations develop measures to enhance diversity and address inequities.

5. Enhanced objectivity

Using AI in hiring provides the benefit of increased objectivity in the recruitment process. Subjective factors such as personal biases, emotions, or unconscious preferences can all influence human decision-making. AI technologies assist in overcoming these constraints and introducing a higher level of impartiality in applicant evaluation. Candidates are evaluated by AI algorithms using predefined criteria and objective metrics. They evaluate qualifications, talents, and experience unbiased by personal prejudices or subjective judgments. This uniformity in evaluating candidates results in more dependable and fair appraisals of their abilities and potential.

AI creates fair possibilities for all candidates by removing human subjectivity. It ensures that each candidate is evaluated on the basis of their relevant qualifications and merits rather than on external circumstances that should not have an impact on their suitability for a role. Furthermore, AI systems can be taught on historical data to learn from previous successful employment outcomes. This enables them to spot trends and success indications that human evaluators may miss. AI algorithms that rely on data-driven insights can provide a more objective assessment of a candidate’s perspective fit for a post.

AI’s increased impartiality in recruiting aids organizations in developing fair and transparent recruitment procedures. It eliminates prejudices, maintains consistent evaluation criteria, and fosters meritocracy. This, in turn, encourages a varied and inclusive workforce in which individuals are chosen based on their skills and talents, resulting in improved overall organizational performance.

6. Cost and time savings

AI-powered algorithms can rapidly screen a high volume of resumes and applications, eliminating the need for recruiters to perform human screening. This technology saves recruiters time and allows them to focus on engaging with the best candidates. Organizations can speed up the hiring process and close productivity gaps created by protracted vacancies by lowering the time spent on screening. AI can help recruit people from a variety of sources, including job boards, social media platforms, and professional networks. Organizations can use AI solutions to automate applicant identification and shortlisting based on established criteria, hence streamlining the candidate sourcing process. This saves time and effort spent on finding qualified individuals, resulting in faster access to competent people.

AI can help to streamline the interview scheduling process by automating the coordination of interview slots between candidates and interviewers. AI-powered systems can analyze availability, preferences, and time zones to recommend the best interview schedules while minimizing back-and-forth contact. This saves administrative time and enhances interview efficiency. Biassed recruiting decisions or poor applicant matches might result in significant consequences for organizations. AI algorithms can assist in decreasing bias by focusing on objective criteria and credentials. Organizations can prevent costly recruiting blunders and associated costs such as turnover costs, rehiring charges, and potential legal issues by enhancing the accuracy of candidate selection.

Summing up

In summary, introducing AI into the hiring process has many advantages that can transform how businesses find and hire talent. A significant number of resumes and applications can be quickly and effectively analyzed and evaluated thanks to the usage of AI in screening. It also enables better candidate matching by utilizing machine learning algorithms to spot successful trends and make informed judgments.

By eliminating subjective judgments, evaluating candidates based on objective criteria, and fostering fairness and diversity, AI also lessens hiring bias. A more equitable outcome is ensured by the increased impartiality of AI algorithms, which guarantee that candidates are evaluated purely on their qualifications and merits. Additionally, AI offers priceless data-driven insights that help recruiters optimize their strategy, make better decisions, and streamline the entire hiring process.

Source link

Up Next

$100bn revenues and networking maturation %

Don't Miss

Citrix expands cloud and on-premises capabilities to support hybrid customers

TECHNOLOGY

HCLTech and Cisco create collaborative hybrid workplaces

Published

1 day 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.

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

Source link

TECHNOLOGY

Canonical releases low-touch private cloud MicroCloud

Published

2 days 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

Source link

TECHNOLOGY

AWS and SoftwareOne collaborate on RISE with SAP

Published

1 week ago

November 22, 2023

Max

Amazon Web Services (AWS) and SoftwareOne Holding AG, a global provider of end-to-end software and cloud technology solutions, have partnered to help customers transition to RISE with SAP on an AWS cloud environment.

Called the Ready for RISE on AWS bundle, it combines SoftwareOne’s deep SAP advisory and implementation knowledge with AWS technologies to expedite a client’s SAP transformation journey.

The collaboration comes at a time when there is growing pressure on organisations to decide how to modernise their SAP environments driven in part by the end of mainstream support for SAP ERP Central Component (SAP ECC) in 2027. Despite the imminent deadline, many organisations are still confused as to which path to take, including when to adopt RISE with SAP, SAP’s bundled offering of cloud solutions, infrastructure, and services that helps migrate SAP ERP to the cloud.

Ireneusz Hołowacz, Director of Application Development Center at GAVDI Polska, said: “A stable, efficient, and cost-effective environment for consultants and programmers is one of the most important priorities of our daily work. Thanks to the migration of our SAP systems to the AWS cloud with the help of SoftwareOne, GAVDI Polska has achieved all the goals set for this process.

In a survey recently conducted by SoftwareOne with Americas’ SAP Users’ Group (ASUG) – the full details of which will be revealed in January 2024 – showed that while 42% of respondents were familiar with RISE with SAP, 40% had heard of it but weren’t familiar with the details and 18% had never heard of it. Over half (52%) said they were still unsure how RISE with SAP would impact their existing relationship with cloud service providers.

“SAP customers have implemented some of the most comprehensive and complex enterprise systems in the industry and moving them to cloud services like AWS requires many important decisions to be made to optimise these investments,” says Joshua Greenbaum, Principal at EAC. “SoftwareOne’s extensive experience in the SAP ecosystem, combined with its unique capabilities around system rationalisation, cost containment, contracts and licenses, and cloud service management, among others, will provide customers deploying on AWS with the ability to make the most of RISE on SAP and other SAP offerings. Ready for RISE on AWS is an important offering for SAP customers at this critical moment in their business transformations.”

The Ready for RISE on AWS bundle will help clients understand their SAP transformation options and offer a comprehensive solution to organisations who consider RISE with SAP. It includes advisory data preparation, conversion services, data and AI, cloud innovation platform, supporting the entire journey to RISE on AWS. Clients will benefit from accelerated Return on Investment (ROI), optimal data management, and cost-saving strategies while laying the foundation for ongoing innovation and long-term business success.

Matt Schwartz, worldwide director, SAP Alliance & Partner Network at AWS, said: “As a valued AWS Premier Consulting Partner, AWS is working closely with SoftwareOne to offer SAP customers comprehensive assistance through each step of their journey to RISE with SAP on AWS. SoftwareOne’s ability to bundle Advisory, Data & AI, Cloud Platform, and Operations considerations can be of high interest to customers who are seeking to understand RISE with SAP as well as the cloud native and operation considerations that surround and support the RISE with SAP construct.”

PF Grillet, SAP Business Lead at SoftwareOne, said: “There are many choices available to SAP clients who know they need to modernise but aren’t sure of the best option, particularly given the business-critical nature of the applications.

“All of our services are centered around our customers and what is right for them. This includes supporting and optimising RISE with SAP in scenarios when it’s the right decision based on their requirements. Our extensive knowledge of and relationship with AWS means we can help them better prepare and achieve a seamless transition to S/4HANA using RISE with SAP on AWS with reduced costs and risks. This collaboration goes beyond preparing businesses for change; it’s making transformation and becoming innovation-ready a reality using AWS technologies.”

The offering includes SNP tooling to reduce a customer’s data footprint and accelerate migration. SoftwareOne will migrate selected data to an AWS data lake, accelerate innovation readiness and ensure SAP data is suitable for broader data analytics and AI use cases. Clients gain access to innovative tools like AWS’ Sagemaker for Machine Learning, continuous data management and optimisation within the AWS environment. The AWS innovation platform also includes Amazon Bedrock that helps organisations accelerate adapting Large Language Models and deploying GenAI use cases that leverage the extended data set.

“While the future innovation opportunities are exciting, clients need to balance these with a pragmatic approach to costs,” explained Marilyn Moodley, Country Leader for South Africa and WECA at SoftwareOne, “We integrate ‘Cost-Out’ recommendations into the core of our services, providing a more cost-effective solution for customers, like reducing the data footprint size and optimising storage and archiving.

“Our expertise in the complexities of SAP licensing further drives cost savings while our FinOps capabilities enable customers to optimise their AWS cloud spend and effectively manage their AWS cloud environment, ensuring full transparency in their budgets. The overall result is a significantly reduced time for RISE migration, which translates into a quicker time to value.”

Tags: AWS, partnership, SAP, SoftwareOne, transition

Source link