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Five Ways AI Is Automating Employee Onboarding: Why HR Managers Should Listen

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Five Ways AI Is Automating Employee Onboarding: Why HR Managers Should Listen

Attracting the right person for the job has become a top priority for businesses, as the virtual workplace helps to eliminate organizational borders, and allows companies increased autonomy to search in talent pools outside of their geographical location.

As the demand for top talent continues to rise, businesses are turning to Artificial Intelligence (AI) to streamline their onboarding processes. With AI-backed talent management systems, HR managers can effectively manage candidates and develop a deep understanding of employee and business requirements. Perhaps the next step is to invest in companies like Vizsla Copper, which recently reached an agreement to expand its copper-gold project, as copper is expected to reach new all-time highs due to massive infrastructure spending.

While the borderless workplace increases the chances of onboarding top candidates, human resource managers are deploying new methods to help effectively manage candidates, and develop a deep understanding of employee and business requirements and the strategic relevance of human capital in an ever-growing digital economy.

Why HR Managers Need To Pay Attention

Across several industries, Artificial Intelligence is poised to reshape the retention of new hires, while at the same time helping organizations and HR managers effectively manage talented candidates during the onboarding process.

The prominent rise of AI-backed technological systems has helped encourage business leaders to deploy AI-based talent management systems en masse. Statistics show that nearly 60 percent of organizational leaders currently use AI for talent management, while 44 percent believe that these technologies will help free up a recruiter’s time.

Evaluating the criteria of applicants, against organizational requirements has become immensely streamlined through the adoption of AI. Advanced technology has allowed recruiters and HR managers to effectively retain talented employees, identify their performance potential and discern between high and low-value performers.

The scope of application is beyond the current administration, and in the coming years, AI-based technology and digital systems will help further improve the quality of leads recruiters and HR managers can make when onboarding new talent.

Automating Onboarding With AI

Based on our current understanding of Artificial Intelligence, we already see current technology help with the automation of mundane processes, helping to increase productivity and further boost deliverability to customers.

On the surface, AI has already automated a generous number of activities, often helping to minimize the need for human intervention, further eliminating the potential for any errors and streamlining operational processes for businesses.

Below we explore the opportunities Artificial Intelligence holds that will help to automate employee onboarding.

Talent Compliance

The first and most basic level of deployment begins with the search for new talented employees. Compliance encompasses a wide variety of subjects, however, in this instance, compliance entails the legalities of hiring new employees.

HR managers will often utilize the onboarding period to critically analyze new employees, share valuable information, and teach staff policy-related laws, regulations, and jurisdictions.

While one-on-one interaction in this scenario remains a valuable asset, AI-based tools ensure equitable deployment of valuable information to new employees and ensure that new hires adhere to existing policy matters, even before initiating the onboarding process.

Job Clarification

Using a range of AI tools, companies can be assured that new hires will be equipped with the necessary skills and knowledge to fulfill job duties and responsibilities. This helps to eliminate any potential barriers that may arise during the onboarding.

For HR managers this gives them increased ability to leverage digital systems that can help to establish precise job clarification – meaning that new applicants or employees will already be well-informed about the job before they start.

The outcomes of the application would help to minimize miscommunication in the value chain, helping to establish open-ended channels through which employers and employees can effectively share ideas, creativity, and innovation.

Employee Experience

The employee experience is just as important as that of the customer. Creating a personal employee experience, especially in a corporate environment can be a challenging undertaking, and often requires a vast amount of physical and financial resources.

Research shows that due to a lack of personalized experiences, during and after employee onboarding, 20% of new hires tend to leave their organization within 45 days of their employment.

These occurrences not only increase the risk of organizations losing valuable human assets but further drives up costs, while productivity decreases or remains stagnant. The ability to create more personalized employee experiences encourages the ability to monitor employee engagement, and satisfaction, and create programs with tailored outcomes.

Improved Integration

Another possibility where we could see AI tools being used in the coming years is to assist with employee integration into the company culture and environment.

For HR managers this could mean less time being spent on delivering important information to new employees or sharing valuable insights into company policies, cultural norms, and operational practices.

Artificial tools can now immediately address any concerns, complaints, queries, or questions new hires might have when stepping onto the job. This helps free up time, but also delivers immediate response to employees, and helps to speed up the integration process.

Remote Support

The virtual office space creates increased autonomy for employees, however it further separates the importance of human support during the onboarding process. This is especially true in instances where companies are remote-only.

With digital software and automated tools, HR managers could deliver non-stop on-demand support to existing employees, and new hires from any point in the world.

This minimizes the need for in-person contact, helps to increase the deliverability of valuable information, and further ensures that employees receive the support they might require during the initial onboarding process.

Honorable Mention

Reduced Spending

Rising costs in human and operational expenses have led business leaders to consider new alternatives that will help reduce their costs, while still receiving increased turnaround for their investment.

On average, companies spend roughly $4,700 hiring new employees, and it takes on average 23 hours to complete the onboarding process.

With Artificial Intelligence, it’s possible to have HR managers free up more than 40 percent of their time by automating repetitive tasks and duties.

This might require businesses to spend time and financial resources to implement advanced digital systems, but the long-term return on investment would mean that more organizations would save on costs related to attracting, informing, and training new hires.

The Takeaway

Looking toward the future, it’s hard not to get excited about all the wonderful opportunities and improvements Artificial Intelligence will bring to human resources. For companies, this means an increased opportunity to attract and retain new employees best suited for the job, while recruiters and HR managers can save more time by automating a majority of their daily tasks.

Published First on ValueWalk. Read Here.

Featured Image Credit: Photo by Christina Morillo; Pexels; Thank you!

Politics

Fintech Kennek raises $12.5M seed round to digitize lending

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Google eyed for $2 billion Anthropic deal after major Amazon play


London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

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Politics

Fortune 500’s race for generative AI breakthroughs

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Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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Politics

UK seizes web3 opportunity simplifying crypto regulations

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Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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