Artificial Intelligence Archives - Page 3 of 5

The Rising Tide of AI in Talent Acquisition

Events by Christopher J. Dwyer on 07/24/2023

Ardent Partners and Future of Work Exchange research points to artificial intelligence (AI) as a key outlet of innovation in the evolving world of work and talent. From automating mundane tasks and reformulating tactical operations to serving as a proactive source of predictive analysis, AI has become a ubiquitous attribute of the Future of Work movement. Artificial intelligence has catalyzed a new era of bespoke, on-demand, and industry-shifting technology that has the potential to benefit candidates, recruiters, hiring managers business professionals, and executive leaders. Simply put: the advent of AI can drive value to a wide spectrum of enterprise stakeholders.

As new strategies, such as skills-based hiring and omni-channel talent acquisition, become transformational ways to revamp hiring initiatives, artificial intelligence is a conduit to disrupting and changing the ways enterprises evaluate and source talent.

Join Opptly, Ardent, and the Future of Work Exchange for an exclusive webcast that will highlight the many roles of AI in a candidate-centric workforce market that prioritizes the depth and impact of talent. I will join Opptly’s Lori Hock, CEO, and Rebecca Valladares, Head of Operations, to discuss:

How AI can be leveraged to drive efficiency, accuracy, speed, and deeper, data-driven decision-making.
Why AI will become the de-facto tool for recruiters and talent acquisition professionals.
How AI can revolutionize new strategies such as skills-based hiring and predictive analytics, and;
The future of AI-led tools (such as ChatGPT) and their responsible use as they become more entwined with everyday business processes.

Click here or on the image below to register for next month’s exclusive webinar. Looking forward to seeing you there!

Five Ways AI Can Transform Talent Management

Business Leadership Talent Talent Acquisition Technology and Innovation by Christopher J. Dwyer on 07/18/2023

Artificial intelligence has the potential to transform the many ways businesses find, engage, source, and manage talent, as well as how they structure business operations in a candidate-centric world. Today on the Future of Work Exchange, we present another exclusive infographic, “Five Ways AI Can Transform Talent Management,” that reflects how AI is primed to not only disrupt talent acquisition, but also influence, impact, and revolutionize the Future of Work movement.

A New Era of Innovation: Inside the Workforce Technology Revolution (Part One)

Talent Acquisition Technology and Innovation by Christopher J. Dwyer on 07/17/2023

It may be difficult to share this perception, given the fact that we’re still mired in an uncertain economic climate, but businesses today are in a rosier position than they ever were before regarding how they find and manage talent (and the ways they address how work is done). The Future of Work Exchange (and the nearly 17 years’ worth of research within its foundation) has often stated that talent is an enterprise’s top competitive differentiator. Throw in a global pandemic that ushered in a new era of work, along with a reimagining of the talent acquisition function, and what we have is a business market that will, probably forever, be laser-focused on the skillsets and expertise required to thrive on a truly global scale.

This, of course, places the utmost significance on a key arena within the typical enterprise: its utilization of workforce management technology, which includes extended workforce management, talent acquisition, talent intelligence, remote/hybrid workplace augmentation, direct sourcing, compliance and risk mitigation, and more.

Today’s workforce management platforms (a broad term, yes, but one that encompasses so many of the core functions addressed within contingent workforce or talent acquisition initiatives) look markedly different than just a few years ago, when an emerging virus upended life and business. In a post-pandemic world, one in which the Future of Work “movement” is nearly fully-realized from both enterprise and worker perspectives, it is these workforce-oriented platforms that will:

Revolutionize the art of direct sourcing. Platforms such as WorkLLama were battle-tested in staffing, which allowed them to plug-and-play directly into the contemporary needs of the modern business; WorkLLama’s provides a robust take on direct sourcing, via a slew of Best-in-Class technology oriented around ATS, candidate experience, referrals, and talent community development. LiveHire has been a market leader for over a decade for a reason: they have perfected the convergence of total talent management and direct sourcing with their unique approaches towards talent mobility, talent experience management, and enterprise-grade software that is integration-ready into greater HR and workforce systems.
Reimagine the massive applications of artificial intelligence. AI has become ubiquitous in its size, scope, and impact; every business, no matter the sector or region or size, has either implemented AI-fueled capabilities into its operations or has begun the process of doing so. Platforms like Opptly are actively reimagining the implications of AI in talent acquisition through next-level artificial intelligence tools that enhance talent matching, augment candidate engagement, and proactively prioritize “skills DNA.” Digital staffing giant Upwork recently integrated generative AI into its market-leading “work marketplace” offerings through new flexible AI work opportunities for candidates and a new “AI services hub” that is powered by OpenAI technologies. (The company also announced its collaboration with Jasper, a prominent generative AI content generation platform that will providing workers on the platform with cutting-edge generative AI tools to enhance productivity and elevate the quality of their work.)
Transform the ways businesses manage the extended workforce. Only a couple of years ago, the phrase “extended workforce” began to overcome the traditional uses of “contingent workforce”; this was not another buzzy, fad-driven shift in nomenclature but rather a reimagining of the non-employee workforce to encompass and reflect its true value and impact (especially since, as discovered via Ardent Partners and Future of Work Exchange research, the extended workforce comprises 49.% of all enterprise talent today). Beeline was a major force in this transition, transmuting Vendor Management System (VMS) functionality into technology that was more meaningful and deliberate. The platform has since unveiled forward-thinking offerings such as its Global Workforce Intelligence tool (a total talent intelligence-driven module that provides real-time insights into total talent), high-volume and shift management automation via its JoinedUp acquisition, and upgrading its Hiring Manager Experience (HMX) to better support the roles that are actively fighting the war for talent. Worksome is actively making waves through its agile, flexible, and end-to-end offering that focuses on the contractor experience while also being built for digital talent engagement and frictionless contingent workforce management. The solution represents a new and exciting crop of providers that blend freelancer management functionality with powerful technology that has the potential to disrupt the extended workforce solutions market.

Stay tuned for Part Two of this article series, in which we’ll highlight other innovative workforce management platforms that are actively reconceptualizing the Future of Work and the many ways businesses find, engage, and manage talent.

Making Sense of Artificial Intelligence in Talent Acquisition

Talent Talent Acquisition Technology and Innovation by Christopher J. Dwyer on 07/10/2023

The current deluge of artificial intelligence news and coverage in the wake of ChatGPT’s meteoric rise in utilization over the past eight months has resulted in many, many businesses pondering the relative future of their overall operations.

Will AI become the de-facto technology that all processes revolve around? Will AI replace the vast majority of human-led positions over the next several years? Does generative AI, like ChatGPT, signal the apocalypse?

Well, the answers here are “probably,” “possibly but probably not,” and, “no, we won’t live in a Terminator-styled future in which robots control the world.” Artificial intelligence is a powerful range of technologies that were designed (and continue to evolve) to mimic human thinking, automate redundant processes, and transform business operations into hyper-efficient layers that are harmoniously entwined.

AI generates buzz unlike any other corporate technology for two main reasons: 1) it’s become ubiquitous given its presence in our personal lives (and our consumer lives), and, 2) it has the potential to transform nearly every facet of the contemporary enterprise. And it’s not just ChatGPT that represents a veritable technological revolution; AI is becoming omni-present in enterprise technology in such a way that every business understands that it needs to adapt to an AI-led world…or fail to thrive.

The world of talent acquisition has always been a hotbed of innovation. Today, TA executives (and the function at-large) operate with forward-thinking strategies in the ever-evolving war for talent, choosing to adopt new solutions, utilize fresh technology, and tap into Future of Work-era concepts to effectively solidify the notion of “talent as the top enterprise differentiator.” There’s an interesting dance at hand here, however, when artificial intelligence meets the world of talent acquisition. Does it have the potential to replace…or disrupt? Is AI a harbinger for a revolutionary transformation in talent acquisition, or is it an enhancer and enabler?

The truth lies somewhere in the middle, of course. While artificial intelligence will certainly exceed its own hype and become the #1 Future of Work-era innovation (especially in the talent acquisition arena), there are specific ideas that point to AI as having limitations and requiring human intervention:

Parameters within AI are limited (and require human intervention to exceed these limitations). Much of the criticisms surrounding the utilization of AI revolves around its difficulties in grasping complex contextual nuances, hence requiring human intervention (or, human-driven guidelines) to effectively process context within mass volumes of data and information. Efficient usage of artificial intelligence, then, requires human enhancement to refine and reshape parameters to solve the lack of nuanced understanding within AI-based technology.
Artificial intelligence is not social intelligence. AI is the kingmaker when it comes to data-processing and information transformation. However, it cannot be confused for “social intelligence,” which is the backbone of human interaction and collaboration. Artificial intelligence cannot navigate intricate, socially-conscious aspects such as empathy, human emotions, and deeper communication. The Black Mirror episode “Be Right Back” comes to mind here, as even a 100% lifelike version of a human (borne from AI) never fully hits the mark in terms of a traditional human relationship. The essential qualities of social intelligence are just not woven into today’s AI-based functionality.
Talent acquisition is a “people business” and it will always be a “people business.” Make no mistake about it: recruiters and hiring managers armed with artificial intelligence have the edge. AI can significantly enhance talent-matching, boost diversity intelligence, determine potential fit and alignment, and rule out candidate fraud (while also automating deep screening processes, particularly assessments). However, there’s a “human edge” to talent acquisition that will always position the function as a people-based business that requires emotional connections, hardwired human “DNA” within technology, and the unique touch of human capital professionals.
Humans have an innate ability to be agile, flexibility, and to innovate when needed. AI is a novel swatch of technology that has revolutionized the Future of Work movement, however, it cannot be novel in how it approaches creativity and innovation. Artificial intelligence is founded on principles that have clear boundaries and parameters, whereas the human mind is near-limitless in how it can generate new ideas and concepts. AI will be even more clutch than it is today as the business arena continues to evolve; being “fed” tremendous amounts of data will allow it to boost critical decision-making at every corporate level, helping executive leaders develop major strategies that are founded on real-time data regarding economics, politics, supply chains, etc. However, the human mind always has an edge due to its propensity for agility and flexibility in the wake of changing times, as well as the natural, human consistency towards true innovation when and where it is needed.

There is a delicate balance at stake here, though, as AI becomes more entwined with business operations and evolves in how it enhances various enterprise functions. Artificial intelligence may have specific limitations, but it is undoubtedly a powerful tool that has the potential to disrupt, transform, and enhance nearly every facet of talent acquisition. Where do we draw the line, though? What is the proper mindset here, especially as generative AI (like ChatGPT) changes the ways businesses operate?

During last month’s Future of Work Exchange LIVE event in Boston, Opptly’s Rebecca Valladares put it quite profoundly, stating, “Ultimately, recruiters who use AI will replace recruiters who do not use AI.” The devil is in the quick details of Valladares’ idea: success comes to those who embrace it and meld it with the human mind. In the realm of talent acquisition, while AI holds immense potential to streamline processes and enhance efficiency, its true power lies in complementing and fusing it with human thinking, creating a harmonious synergy that combines the best of both worlds.

Chatbots and Direct Sourcing — A Natural Fit?

Business Leadership Contingent Workforce Direct Sourcing General Insights HR Talent Acquisition Technology and Innovation by John Yuva on 05/16/2023

The dial on artificial intelligence (AI) has been turned up to such a degree that anyone can now experiment with the technology. AI tools from ChatGTP to Lensa are putting the power of AI into the hands of everyday folks — with some stunning results. While the consumer side of AI is gaining attention, it’s important not to overlook the applicability and possibility of the technology for direct sourcing and contingent workforce needs.

Today, there are several providers of AI-based tools for optimizing the direct sourcing of contingent workers. One of the most recognizable and popular tools is chatbots. This technology has evolved significantly over the years from a more scripted application to one of conversational AI realization. Through developments in natural language processing, users have a difficult time recognizing whether it’s a human or a bot they’re interacting with.

How are chatbots contributing to efficiencies in direct sourcing efforts? It’s occurring in several ways, allowing HR, business managers, and recruiters to focus on more strategic aspects of total talent management initiatives.

Screening Candidates

Candidate screening can be time intensive. Thus, chatbots are assisting in this process by asking a set of pre-defined questions to candidates and identifying those who meet the required qualifications. This can save HR and recruiters significant time and resources by filtering out unqualified candidates and moving forward only those who will speak directly with hiring managers.

Scheduling Interviews

With dozens of potential candidates, chatbots can assist in coordinating interviews, ensuring that HR and hiring managers have appropriate time blocked out for other tasks. Streamlining this workflow process allows a quick and efficient means of interview scheduling. While this is a more tactical task, it’s an essential one that automation can complete.

Pooling Talent

A major element of direct sourcing is the curation and storage of candidate data. Chatbots can help build and maintain a database talent pool. This information can be used to match candidates with future job openings, streamlining the candidate selection process. The next level of this process is using AI to slice data further based on skills and competencies, which seems a natural progression as enterprises transition to skills-based hiring.

Engaging Candidates

One of the tenets of Future of Work is engagement, beginning at the candidate stage. Not surprisingly, chatbots can engage with candidates throughout the recruitment process by answering their questions, providing updates on the status of their application, and offering personalized support. According to HybridChat, a chatbot solution provider, 74% of job seekers stall in the application process. Chatbots can engage with the candidate and answer questions that lead to a completed application. This all contributes to improving the candidate experience and increases the likelihood of a successful hire.

While this only touches the surface of the capabilities of chatbots, such AI technology can play a valuable role in direct sourcing processes helping HR, recruiters, and managers automate time-consuming tasks, improve candidate engagement, and ultimately identify the best candidates for a given position. Recruitment automation using AI and machine learning will only increase with time. What this means is the potential for more enterprises to adopt direct sourcing strategies to leverage the technology and the efficiencies that come with it. With digital transformations leading many organizational objectives, the integration of automated recruiting tools like chatbots and other AI applications brings value add to workforce strategies.

Next-Generation Services Procurement: Data-Driven and Optimized for the Future of Work

Contingent Workforce Procurement Talent Acquisition by Christopher J. Dwyer on 04/26/2023

Ardent Partners and Future of Work Exchange research has long pointed to services procurement (and SOW-based projects and services) as the “next frontier” for contingent workforce management. Comprising upwards of 50%-to-60% (or more!) of the average organization’s total external workforce spending, services procurement remains a prime opportunity for businesses to drive savings, improve visibility, and, most importantly, reshape how work is done.

In a new research study underwritten by Magnit and developed by Ardent Partners and the Future of Work Exchange, we have unveiled some new strategies that can assist enterprises in augmenting services procurement in a Future of Work era:

The large cost savings opportunities that exist for most enterprises in services procurement and the management of SOW-based services make it the next, big frontier for leaders of the extended workforce to tackle. However, a general lack of rigor, combined with issues such as globalization and uncertain economic times, are limiting business leaders’ ability to approach this complex area of spend in a more transformational way.

For enterprises to reimagine the approach to services procurement, they must follow a new model that blends Future of Work accelerants, dynamic data and intelligence, real-time automation, next-generation workforce management technology, and a willingness to adapt and adopt agile solutions.

This Ardent Partners and Future of Work Exchange research report will discuss how businesses can transform their services procurement and SOW (“Statement of Work”) management programs by (1) modifying buying behavior with advanced automation, controls, and data, and (2) developing an impactful initiative that leverages expert services and solutions.

Click here to download the new research study.

Web 3.0 Is Here to Disrupt the Way We Work

Technology and Innovation by Christopher J. Dwyer on 04/20/2023

The next generation of digital technology is here. Web 3.0 is on the horizon and it’s poised to have a significant Future of Work impact due to its revolutionary nature. Web 3.0 is defined as the integration of blockchain technology, artificial intelligence, machine learning, the Internet of Things (IoT), and augmented reality, with the convergence of these advanced digital solutions presenting an innovative transformation for the modern business.

The advent of Web 3.0 is not just a natural evolution of the internet at scale, but rather a calling for a new era of decentralization, automation, and intelligence exchange.

A crucial impact area of Web 3.0 is workforce decentralization. By integrating blockchain, professionals will have more control over their personal data, profiles, and accolades, and thus, will be able to monetize their skillsets via decentralized platforms linked by blockchain technology. By being more empowered and autonomous, the non-employee workforce will be enabled with more control, as well as new and more opportunities, for freelance, contract, and gig-based work and positions.

This autonomous, digitally-enabled decentralization would, in essence, catalyze a boundaryless and frictionless stream of work opportunities matching with available talent and expertise…a true Future of Work disruptor that would transform the way we think about recruitment, hiring, and talent acquisition.

Another impact of Web 3.0 on the Future of Work is the automation of tactical and repetitive tasks. With the integration of AI, robotics and other automated systems will be able to perform menial and repetitive activity, freeing up human workers to focus on more creative and strategic work, a boon for efficiency and productivity.

The promise of Web 3.0 also revolves around the idea of transformative data exchange, with IoT concepts driving seamless sharing of critical data between enterprise devices, platforms, and systems. In a remote-work-driven business arena, this is a crucial element in enabling workers, no matter where they may be, to drive decision-making by leveraging real-time enterprise data. Too, this quashes much of the concern of the distributed workforce: giving on-demand, enterprise-grade access to data via Web 3.0 technology convergence means that workers will always be robustly interconnected to their peers, colleagues, and leaders no matter the workplace model.

There are some concerns that these technological advancements may negatively impact the global workforce, displacing some jobs and roles (and even creating income disparity). It will be incumbent on enterprises and government entities to invest the time and resources for reskilling and upskilling initiatives that would ensure that workers are prepared for a new digital age with the proper and aligned skillsets to adapt.

The future of the Future of Work is based on many factors (as we detailed recently). Web 3.0 and its digital experience will prove to be a major disruptor for the world of work and talent.

How Are Businesses Enhancing the Employee Experience?

Business Leadership by Christopher J. Dwyer on 04/19/2023

It’s all about the “experience” today. All aspects of the modern-day workforce, including both FTEs and contingent workers, revolve around the day-to-day (and long-term) experience within a workplace setting. Business leaders cannot rely on archaic modalities of management any longer if they want their workers to be happy, satisfied, and, most importantly, productive. In the latest edition of the Future of Work Exchange‘s exclusive infographic series, How Are Businesses Enhancing the Employee Experience?, we unveil some new research findings on how business leaders plan to improve their employee engagement and employee experience initiatives.

The Elements That Will Shape the Skills-Based Organization

Talent Technology and Innovation by Christopher J. Dwyer on 02/06/2023

Here’s a phrase that’ll be mentioned many times throughout 2023: the skills-based organization will be the one that thrives during what could be an uneven and uncertain year ahead. Skills is akin to currency in today’s volatile market in such a way that it seemingly creates a have/have not business society. Those with top-tier skills will flourish, and, those who don’t, well…

The latest United States jobs report was rosy from a certain perspective (adding 517,000 jobs in January alone), one that reflects not only the lowest unemployment figures in nearly 55 years, but also an awkward juxtaposition of the discussions around an economic downturn and the continued fight against inflation.

For all the talk about a blooming-yet-complicated job market, there’s another side to this positive news. Ardent Partners and Future of Work Exchange research finds that 73% of businesses currently face a critical challenge in the months ahead: a lack of candidates with the required skillsets for open positions. This is yet another representation of why the skills-based organization (SBO) is a true opportunity to, essentially, reimagine the ways they think about talent acquisition and the role of talent in getting work done.

The most progressive way of thinking here is to apply agility-led principles to the realm of talent acquisition and talent engagement by 1) harnessing the power of artificial intelligence and machine learning to revamp the candidate-matching process, 2) expanding “known” skills taxonomy in an automated manner to account for innovative and future roles, 3) developing a central, on-demand database of skillsets across talent communities (talent pools, talent networks, current employees, etc.), and, 4) leveraging a multi-dimensional nexus of skillsets and expertise from which to address new and evolving requirements based on the trajectory of the greater organization.

The foundational elements of the skills-based organization revolve around the concepts of rethinking the parallels between talent and work; thus, the very future of the skills-based organization depends on forward-thinking strategies, ideas, and, of course technology. Here are the crucial elements that will shape the SBO in the months ahead:

Digital credentialing will emerge as a powerful disruptor in the skills validation market. Even in the technologically-advanced days in which we live, validating skillsets and expertise is largely a manual game. Talent acquisition execs and hiring managers (as well as other core HR leaders) must review portfolios, speak to references, confirm education and backgrounds, etc. to ensure that a candidate holds the proper skillsets for the role in which it is applying. Digital credentialing platforms remove nearly all of the guesswork and the tactical elements of skills validation and provide a veritable gateway into verified skillsets, strengths, certifications, etc. that candidates can maintain throughout the duration of their career. Solutions like Credly, Sertifier, Accredible, and Certifier are revolutionizing both the candidate-facing and hiring-led aspects of digital credentialing.
Blockchain realizes its potential and becomes a gateway for talent. Across the business spectrum, blockchain has so many potential paths: augmenting data warehousing, tightening legal and financial intelligence, and, yes, reinventing the ways enterprises find and connect with talent. In a hyper-competitive and globalized talent marketplace, the power of blockchain truly shines through; by defragmenting traditional barriers to talent acquisition, blockchain-fueled candidate networks enable hiring managers (and similar leaders) with the ability, in real-time, to view candidate profiles, validate expertise, and confirm career data and portfolios. Candidates own their information, and, subsequently, their career pathways, an important factor in today’s labor market from the worker perspective. The speed in which blockchain presents a match and a connection can dwarf that of traditional hiring. Platforms like the non-profit Velocity Network and innovative solution Braintrust are helping businesses reboot their talent strategies.
AI moves firmly into the talent acquisition arena. Artificial intelligence has become, particularly over the past several years, a formidable means of visualizing workforce data through dynamic analytics. Predictive analytics and scenario-building capabilities within workforce management suites and VMS platforms have changed the way HR, procurement, and talent acquisition leaders access total talent intelligence and supercharge their talent-decision making with that data. However, 2023 is the year of AI in talent acquisition; it is imperative that businesses drive real workforce scalability and boost their skills-oriented approach by leveraging artificial intelligence to better validate candidate profiles, enhance skillset-to-job matching, and improve the overall hiring process. Talent acquisition is entering a new, AI-charged era in part because of the advanced technology that can seamlessly streamline the ways businesses not only engage candidates, but also the ways they catalyze the skills-matching experience. Platforms like Opptly represent this exciting new generation of technology, along with solutions like Phenom, Gem, and Gloat, as well as Magnit and both its ENGAGE Talent tool and total talent intelligence offering. Too, solutions such as Glider.ai (robust skills verification and candidate assessment), Fuel50 (recalibrating workforce intelligence), and HiredScore (next-generation, proactive talent-fueled AI) will also disrupt the concept of AI in talent acquisition.

One other factor that could play a pivotal role in the evolution of the skills-based organization is direct sourcing and its impact on digital recruitment, an arena that is founded on the ability to better match open positions with top-tier skillsets. Today’s direct sourcing platforms are a key cog in developing a skills-oriented approach towards talent acquisition, with solutions such as WorkLLama, whose AI-fueled recruitment tools revolutionize candidate collaboration and boost talent acquisition strategies, and LiveHire, whose end-to-end recruitment and direct sourcing technology facilitates a dynamic and holistic approach towards total talent management,

Artificial Intelligence Streamlines Contingent Workforce Management Decision-making

Business Leadership Contingent Workforce General Insights Technology and Innovation by John Yuva on 02/02/2023

In today’s labor and economic climate, enterprises cannot afford to make poor hiring decisions. And with 47.5% of an organization’s workforce comprised of contingent workers, per Ardent Partners and Future of Work Exchange research, an extended worker hire is just as critical operationally as a permanent employee. The ramifications of a hiring mistake — whether it’s an extended or permanent role — can cost businesses 30 percent of the employee’s first-year earnings, according to the U.S. Department of Labor. However, artificial intelligence is now shaping the future of contingent workforce management (CWM) to help avoid those employment missteps.

CWM Optimization Through Artificial Intelligence

Through artificial intelligence, enterprises can harness the value of structured and unstructured data to streamline contingent workforce management decision-making. AI also opens the door to new user experiences to better attract, acquire, and retain top-performing talent and improve operational execution — all leading to cost savings. Using prescriptive analytics for CWM optimization is an evolving but critical piece of AI strategy. While artificial intelligence has existed for a decade or more, the wider scope of its capabilities is only now being utilized.

Subsets of AI, such as machine learning (ML), predictive analytics, and natural language processing, coupled with complementary technologies like augmented reality and the metaverse are game changers for contingent workforce management optimization.

Putting Artificial Intelligence to Work

Enterprises and HR executives who are not at least exploring the possibilities of AI’s impact on CWM will find themselves at a competitive disadvantage when sourcing talent and executing extended workforce strategies. Ardent Partners and Future of Work Exchange research cites that 80% of businesses expect AI to transform CWM in the year ahead. These are several ways that AI and associated technologies are getting the job done.

Enhance the candidate matching process. Enterprises are under pressure to not only attract and acquire the right candidates but do so in a short time-to-hire time-frame. The talent need is often immediate, leading to more costs as the vacancy persists. Enter artificial intelligence that can streamline the candidate screening process by matching critical role-specific skills with existing candidates in enterprise talent pipelines (e.g., direct sourcing, talent marketplaces, etc.). AI can narrow the field even further through questionnaires and even simulated exercises to test candidate skill proficiency — all while increasing hiring speed and attaining higher-quality candidates. With 74% of businesses planning to leverage AI to enhance the candidate experience (per Ardent Partners and FOWX research), it’s clear that the potential of the technology is being recognized. This is critical because it means enterprises can use data to understand how and why candidates are choosing our business or leaving/jetting for other companies. It also exposes gaps in the hiring process that must be remedied to enable real-time hiring capabilities. The war for talent is raging…having a process that essentially finds those talent needles in the haystack is the competitive differentiator.
Expand overall total workforce visibility. Much of the value attained by artificial intelligence is more efficient identification, organization, and utilization of data. Prescriptive analytics, for example, provides the optimal use of collected data. When evaluating the total workforce holistically, enterprises need insights into their full-time and contingent employees. What are their skillsets? Which department do they work in? How long have they been contracted with the enterprise? What is their past project or team participation. Answering these questions creates a strategic profile for every full-time and contingent employee. Those total workforce profiles make real-time hiring and seamless succession planning a reality. Transparency into both operational challenges and available talent is a dual threat to lagging competitors.
Leverage predictive analytics and scenario planning. Ultimately, organizations want the ability to use data to predict future scenarios and potential outcomes. As a subset of artificial intelligence, predictive analytics is used in a variety of operational settings, particularly for supply chain planning. However, it is just as valuable for contingent workforce management as a predictor of future talent needs. Predictive analytics takes prescriptive analytics and workforce profiles a step further by combining operational and profile data to identify talent deficiencies and operational weaknesses, while also projecting how talent should be utilized to close those gaps. This is transformative for large-scale enterprises with tens of thousands of employees across the globe. It can also be talent-defining in scenarios where succession planning comes into play. So much of the hiring focus is on the “immediate need” rather than the gaps silently forming with aging workers eyeing their next opportunity post-retirement. Predictive analytics can address workforce scalability related to resignations, retirements, labor movements, etc., and how those will shape the workforce short and long term. In the case of a recession or other economic crisis where scalability becomes an essential strategy, enterprises can leverage internal talent data and combine it with market and labor insights to more effectively understand how operations will be affected. Which skills are required immediately versus long-term CWM planning? The ability to scale the workforce quickly and efficiently cannot be understated.

AI Becomes a Permanent Fixture for Talent Strategy

Artificial intelligence is becoming a permanent fixture as part of today’s enterprise operations and talent management strategies. For the contingent workforce, AI serves as an essential technology to streamline candidate pairings with operational needs, while increasing transparency of available skillsets and workforce contributions. Those insights prove valuable when talent gaps appear, or workforce scaling is necessary. Artificial intelligence will continue to evolve and with it, more CWM opportunities will emerge. Today, leverage the AI capabilities that exist to better plan for tomorrow.