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Technology and Innovation

Chatbots and Direct Sourcing — A Natural Fit?

Business LeadershipContingent WorkforceDirect SourcingGeneral InsightsHRTalent AcquisitionTechnology and Innovation by John Yuva on

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.

The rest of this article is available by subscription only.

Introducing a New Subscription Model

To continue providing valuable insights and resources on the future of work and extended workforce management, we’re transitioning our site to a paid subscription model. While some posts will remain free, subscribing will grant you exclusive access to in-depth analysis, market research, expert interviews, and actionable strategies that will help improve your business. Solution providers and practitioners are invited to join today and gain a competitive edge by tracking the industry’s important innovations, emerging trends, and best practices.

Click here to learn more.

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Web 3.0 Is Here to Disrupt the Way We Work

Technology and Innovation by Christopher J. Dwyer on

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.

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The Recession-Ready Enterprise

Business LeadershipContingent WorkforceDirect SourcingGeneral InsightsTalent AcquisitionTechnology and Innovation by Christopher J. Dwyer on

There has been great debate in recent months about a recession. Are we already in a recession? If a recession occurs, will it be light or something more impactful? Or will the economy be resilient and avoid a recession entirely? Enterprises in technology and media industries are already reacting to recession fears by laying off tens of thousands of workers. As we move further into 2023, how could a recession impact the extended workforce?

Business As Usual

There’s no doubt we’re experiencing challenging economic times. However, businesses must continue with mission-critical projects and initiatives that often require specialized expertise. The skills gap remains inherent in many enterprises, leading to continued demand for contingent workers. And as the Future of Work Exchange research indicates, 47.5% of the enterprise workforce is comprised of extended workers. That figure cannot be ignored, especially during times of economic distress.

Digitization Evolution and Workforce Mercenaries

Despite the recessionary climate, there is an enterprise evolution occurring: digitization. Whether it’s talent acquisition platforms, accounts payable solutions, or larger enterprise resource planning systems, businesses are transforming from tactical (manual) to strategic (digital) strategies across the operational landscape. And with digitization comes the extended workforce.

The rest of this article is available by subscription only.

Introducing a New Subscription Model

To continue providing valuable insights and resources on the future of work and extended workforce management, we’re transitioning our site to a paid subscription model. While some posts will remain free, subscribing will grant you exclusive access to in-depth analysis, market research, expert interviews, and actionable strategies that will help improve your business. Solution providers and practitioners are invited to join today and gain a competitive edge by tracking the industry’s important innovations, emerging trends, and best practices.

Click here to learn more.

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An Ode to the Future of Work

Business LeadershipHRTalentTechnology and Innovation by Andrew Bartolini on

The Future of Work is a topic that has been discussed for by Ardent Partners for many years, particularly with technology rapidly evolving and transforming industries. Today, we offer a poem that takes a creative and fun approach to imagining what the future of how we work might look like.

With rhyming couplets and vivid imagery, we’ve tried to paint a picture of a world where AI machines take on mundane tasks, leaving more time for worker creativity and exploration. The idea of virtual offices and collaboration without borders adds a sense of excitement and wonder to the future of work as we envision a world where the limitations of physical space and language barriers no longer exist. Ultimately, the poem encourages us to embrace the future with open arms, as it holds endless possibilities for growth and innovation.

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What WorkLLama’s $50M Funding Means for the Direct Sourcing Arena

Direct SourcingSolution ProvidersTalent AcquisitionTechnology and Innovation by Christopher J. Dwyer on

Direct sourcing dominates many of the talent-oriented discussions in our wonderful industry today more so than ever before. Heading into the months before the pandemic began, Ardent Partners and Future of Work Exchange research found that direct sourcing strategies and talent pool development were the top two priorities heading into 2020.

The omniscience of those findings was on point: for the first 18 months or so of the pandemic, direct sourcing exploded due to its ability to drive real workforce scalability (in a time when it was needed most) and improve the candidate and hiring manager experiences. Now that the pandemic is waning and entering an endemic state, direct sourcing is still as vital as ever to businesses that focus on candidate centricity and a talent-led approach to workforce engagement.

Last week, WorkLLama, one of the industry’s leading direct sourcing technology platforms, announced that it had secured $50 million in funding (organized and facilitated by Fairpoint Partners). Now, funding in HR tech is not a rare event, however, within the direct sourcing space, this represents so much more than an innovative solution garnering significant funding.

WorkLLama’s suite of technology does not just fall under the greater “direct sourcing” banner, but rather reflects the “Direct Sourcing 2.0” model that Ardent Partners and the Future of Work Exchange pioneered 18 months ago to reflect the next generation of innovation that has contributed to the future of the direct sourcing technology industry.

“I’ve been lucky to have been involved first-hand since direct sourcing was introduced to the market many years ago,” said Kevin Poll, WorkLLama’s SVP of Strategy and Business Development. “Fast forward to today and seeing the market demand for next-gen direct sourcing technology, it’s exciting and validates the market opportunity and the belief in our innovation and growth. Not only will we help all talent connect to meaningful work, but I’m also personally looking forward to how this investment will allow us to continue advancing the platform to help underrepresented communities.”

WorkLLama has become a leading direct sourcing platform not just because of their overall commitment to the arena, which has been apparent since they entered the enterprise market back in 2016, but rather because the company has leveraged progressive thinking to fuel a new era of direct sourcing, ATS, and end-to-end talent management functionality. The WorkLLama platform, including its unique Sofi bot, offers users with advanced functionality, artificial intelligence, access to superior talent, an enhanced candidate experience, and the enablement of repeatable and scalable direct sourcing processes all contribute to a more advanced direct sourcing program.

“WorkLLama was established in 2016 to solve long-standing challenges within the talent attraction, engagement, nurturing, and retention space,” said Saleem Khaja, COO and co-founder. “Since our inception, we’ve led with the most robust, client-centric, and configurable solution available, with a central mission to provide the highest-level consumer-like experience to talent. This funding is an important milestone in our journey to enable both organizations and talent to become even more successful.”

The massive level of funding here speaks volumes about the direct sourcing technology industry for several reasons:

  • Direct sourcing has moved beyond the “peripheral platform” spectrum within the talent technology ecosystem. Just a few years ago, direct sourcing solutions were considered peripheral technology; that is, platforms that contributed to extended workforce management and talent acquisition without the standing of Vendor Management Systems and HRIS solutions. Today, that has changed. WorkLLama’s funding is a direct reflection of the criticality of these platforms in driving better candidate outcomes and optimizing talent engagement and recruitment.
  • Artificial intelligence is now table-stakes for any technology in the workforce solutions market. One of WorkLLama’s leading-edge innovations is the application of AI and machine learning throughout the platform, which shines in its candidate nurture functionality and particularly its Sofi conversational bot. Sofi harnesses the power of AI to automate and facilitate candidate communication and engagement; the WorkLLama platform also leverages AI to catalyze digital recruitment and referral management, two attributes of direct sourcing that are crucial for programmatic success.
  • The candidate experience and the hiring manager experience are paramount. One of the more interesting developments in the direct sourcing technology arena is the commitment to and focus on “experience-led” aspects of talent acquisition. With a volatile labor market, the candidate experience is, of course, critical (something that WorkLLama achieves through its deep nurture and engagement functionality). What has also become important, however, is the hiring manager experience by arming these professionals (and other talent acquisition leaders) with robust offerings that can facilitate skills assessment, develop deep talent communities, and streamline talent engagement and hiring.

“CEO, CHRO, and CPO leaders face unprecedented challenges as they evaluate new workforce strategies to find and engage talent in today’s market,” said WorkLLama’s CEO and co-founder, Sudhakar Maruvada. “WorkLLama’s growth, especially in direct sourcing, shows that these leaders are invested in innovative solutions to keep up with the changing landscape of work and workers. This investment will allow us to continue to build on our key differentiators and mission of treating candidates like customers.”

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FOWX Notes, March 3 Edition

Solution ProvidersTechnology and Innovation by Christopher J. Dwyer on

Some picked-up pieces, news, and insights from across the evolving world of talent and work:

  • Direct sourcing and workforce solutions platform WorkLLama announced a series of $50M strategic investments. The new funds will enable the innovative tool with a variety of advantages, including possible acquisitions, a continued commitment to direct sourcing innovation, etc. This level of investment translates into the ability for WorkLLama to continue its long track record of progressive automation in the digital recruitment and total talent management arena.
  • Opptly announced that it is has completed its the integration of its platform with major extended workforce and VMS solutions provider Beeline. The integration with Beeline’s direct sourcing API suite will deliver an advanced, seamless means of connecting enterprises with the best-aligned, best-fit talent via Opptly’s industry-leading AI-fueled functionality.
  • Talent management platform LiveHire announced its acquisition of Arrived Workforce Connections, Inc. Arrived’s shift management and mobile-led matching application will be powerful addition to LiveHire’s already-robust suite of offerings. In corresponding news, Arrived’s CEO, Jennifer Byrne, will join LiveHire as its Global Chief Product and Technology Officer. Antonluigi “Gigi” Gozzi, LiveHire’s co-founder, Executive Director, and Chief Product and Technology Officer, will transition out of his executive role.
  • The Fed’s record rate hikes have done little to cool the hot job market, as unemployment claims dropped once again. A seventh straight week of claims under 200,000 means that unemployment has remained at a level not experienced since 1969.
  • Thoma Bravo, a Chicago-based software investment firm, has officially completed its acquisition of business spend management (BSM) platform Coupa Software. Announced back in September, Thoma Bravo has finalized the massive $8B transaction. Coupa’s wide range of spend management offerings includes Coupa Contingent Workforce, its dedicated VMS tool for the extended workforce industry.
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The Elements That Will Shape the Skills-Based Organization

TalentTechnology and Innovation by Christopher J. Dwyer on

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,

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Skills-Based Is the New Workforce Frontier

Business LeadershipDirect SourcingDiversity and InclusionGeneral InsightsHRTalent AcquisitionTechnology and InnovationUncategorized by John Yuva on

We have recently talked about gamification and digital credentials as strategies for greater employee engagement, collaboration, and skills development. As enterprises re-engineer their workforce architectures toward a skills-based organization, these strategies will play a critical role in that initiative.

Why is skills-based the next workforce frontier? Simply put, traditional, antiquated job description-defined roles are ineffective in today’s volatile business landscape. Enterprises require agility and flexibility to respond appropriately to operational and market changes. A skills-based workforce architecture supports that requirement by aligning employee skills with project-focused initiatives. Deploying employees with specific skill sets to solve problems and ensure business continuity is a Future of Work vision.

Purpose of Work Redefined

With a nimble and responsive workforce, enterprises can leverage their talent using a more holistic approach while generating a greater sense of work purpose for employees. According to an article in Training magazine, “Skills-based organizations have a more agile and employee-centric approach to work where employees are valued for their skills rather than their job title, level, or educational qualifications.”

“It is a new operating model of work where employees are matched to tasks and projects based on skills, capabilities, and interests. Focusing on skill sets instead of job experience can help organizations optimize their talent pool.”

However, the success of this workforce model depends heavily on the ability to define work within the enterprise. What is the work that can ultimately provide a competitive advantage in the marketplace? Where in the organization does the most critical work reside? What skillsets and capabilities are most valued to accomplish the work required? How does the enterprise capture, structure, and utilize skillset data?

The critical answers to these questions are all part of the foundation of a skills-based structure.

The rest of this article is available by subscription only.

Introducing a New Subscription Model

To continue providing valuable insights and resources on the future of work and extended workforce management, we’re transitioning our site to a paid subscription model. While some posts will remain free, subscribing will grant you exclusive access to in-depth analysis, market research, expert interviews, and actionable strategies that will help improve your business. Solution providers and practitioners are invited to join today and gain a competitive edge by tracking the industry’s important innovations, emerging trends, and best practices.

Click here to learn more.

read more

Artificial Intelligence Streamlines Contingent Workforce Management Decision-making

Business LeadershipContingent WorkforceGeneral InsightsTechnology and Innovation by John Yuva on

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.

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Web 3.0 Is Here to Disrupt the Way We Work

Technology and Innovation by Christopher J. Dwyer on

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 yesterday). Web 3.0 and its digital experience will prove to be a major disruptor for the world of work and talent.

read more
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