Technology

The Future of Workforce Management: AI and Machine Learning

The workforce management landscape is evolving at an unprecedented pace. With the advent of artificial intelligence (AI) and machine learning (ML), organisations can now leverage technology to improve the efficiency of their workforce management operations. And this article will explore the future of workforce management software solutions and how AI and ML will shape the industry.

Understanding AI and ML in workforce management

AI and ML are terms used to describe computer systems that can perform tasks that typically require human intelligence. AI systems can analyse data, recognise patterns, and make predictions based on that data. ML is a subset of AI that enables systems to learn and improve without being explicitly programmed.

AI and ML can automate routine tasks in workforce management, such as scheduling, payroll processing, and time tracking. These technologies can also help managers make data-driven decisions about their workforce by analysing employee performance, attendance, and other relevant metrics.

The Benefits of AI and ML in Workforce Management

Improved Efficiency

AI and ML can automate time-consuming tasks like scheduling and payroll processing. This can save managers time and reduce errors. Managers can focus on more strategic activities by automating these tasks, such as developing employee training programs or improving customer service.

Better Decision-Making

AI and ML can provide managers with valuable insights into their workforce. For example, managers can identify areas where employees need additional training or support by analysing employee performance data. This can lead to improved employee performance and increased productivity.

Increased Flexibility

AI and ML can help organisations respond quickly to changes in their workforce. For example, if an employee calls in sick, AI can automatically adjust the schedule to ensure adequate coverage. This can help organisations maintain productivity and avoid disruptions.

Improved Accuracy

AI and ML can reduce errors in workforce management. For example, by automating payroll processing, organisations can eliminate the risk of human error. This ensures that employees are paid accurately and on time, increasing job satisfaction and retention.

The Future of Workforce Management: AI and ML

Predictive Analytics

Predictive analytics is an AI application that uses historical data to predict future events. In workforce management, predictive analytics can forecast employee turnover rates, identify training needs, and predict future demand for products or services. By using this data, organisations can make more informed decisions about their workforce and avoid potential problems before they occur.

Chatbots

Chatbots are AI-powered software applications that can interact with users through natural language. Chatbots can answer employee questions about benefits, payroll, and scheduling in workforce management. This can save managers time and reduce the burden on HR departments.

Performance Management

AI and ML can monitor employee performance and provide real-time feedback. This can help employees improve their performance and increase productivity. Organisations can create a more engaged and motivated workforce by providing employees with personalised feedback.

Virtual Reality Training

Virtual reality (VR) technology can train employees in a simulated environment. This can be particularly useful for training employees on complex or dangerous tasks. By using VR technology, organisations can provide employees with hands-on training in a safe and controlled environment.

Data Privacy and Security

Data privacy and security become increasingly important as organisations collect more employee data. AI and ML can be used to ensure that employee data is protected and secure. For example, AI-powered security systems can detect and prevent cyber attacks, while ML algorithms can analyse data to identify potential security risks.

In conclusion, the future of workforce management software is exciting and full of potential. As AI and ML evolve, you can expect new applications and innovations in the industry.

By embracing these technologies and leveraging their benefits, organisations can create a more efficient, productive, and engaged workforce.

However, it is important to approach these technologies with caution and carefully consider the potential risks and challenges they may present. By doing so, you can maximise the benefits of AI and ML in workforce management while minimising the risks.

Ella Raven

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Technology

Trump says he’s found a buyer for TikTok

A group of “very wealthy people” is set to buy short-form video app TikTok, according to President Donald Trump.

“We have a buyer for TikTok, by the way,” Trump said in a Fox News interview on Sunday morning. “I think I’ll need probably China’s approval. I think President Xi [Jinping] will probably do it.”

Trump declined to share more details about the buyers, saying only that he would reveal their identities in two weeks (apparently his favorite unit of time).

Trump has repeatedly delayed a bill forcing owner ByteDance to sell the app or see it banned in the United States. In January, he said his “initial thought” was to create “a joint venture between the current owners and/or new owners whereby the U.S. gets a 50% ownership.”

He’s also said he was open to allies Larry Ellison or Elon Musk buying the app, although Musk seems like a less likely candidate now.

Intellectual Insider

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Technology

Meta reportedly hires four more researchers from OpenAI

Looks like Meta isn’t done poaching talent from OpenAI.

Earlier this week, TechCrunch reported that Meta had hired influential OpenAI researcher Trapit Bansal, and according to The Wall Street Journal, it also hired three other researchers from the company.

Now The Information is reporting four more Meta hires from OpenAI: Researchers Shengjia Zhao, Jiahui Yu, Shuchao Bi, and Hongyu Ren.

This hiring spree comes after the April launch of Meta’s Llama 4 AI models, which reportedly did not perform as well as CEO Mark Zuckerberg had hoped. (The company was also criticized over the version of Llama that it used for a popular benchmark.)

There’s been some back-and-forth between the two companies, with OpenAI CEO Sam Altman suggesting that Meta was offering “$100 million signing bonuses” while adding that “so far, none of our best people” have left. Meta CTO Andrew Bosworth then told employees that while senior leaders may have been offered that kind of money, “the actual terms of the offer” were more complex than a simple one-time signing bonus.

Intellectual Insider

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Technology

YouTube’s mobile video editor is coming to iOS

Google is preparing to bring YouTube Create to iOS devices nearly two years after the video editing app launched exclusively on Android. Job listings reviewed by TechCrunch reveal the company is actively hiring engineers in India for the iOS development project.

The job postings show Google is recruiting software engineers in Bengaluru specifically to build the iOS version. The original Android app debuted in the U.S. and seven other markets in September 2023, then expanded to 13 more markets by February 2024.

YouTube Create provides free mobile video editing tools designed for content creators, offering features like stickers, GIFs, and effects for both YouTube Shorts and longer-form videos. Google developed the app after consulting with 3,000 creators to ensure it met their needs.

The app is Google’s attempt to compete with ByteDance’s popular CapCut editor. But exclusive Sensor Tower data shared with TechCrunch shows YouTube Create is quite far behind CapCut and another established competitor, InShot.

The competition isn’t even close. In the second quarter of this year, CapCut and InShot have been downloaded 66 million and 21 million times, respectively, on Android devices. In contrast, YouTube Create has seen fewer than 500,000 downloads this quarter and just 4 million downloads since its launch.

The user engagement gap is even more pronounced. CapCut boasts more than 442 million monthly active users on the Android app in Q2, while InShot claims 92 million. YouTube Create lags far behind with fewer than 1 million monthly active users.

youtube create maus — **Image Credits:**Jagmeet Singh / TechCrunch

On iOS — the platform YouTube Create is now targeting — the competition is just as fierce. CapCut leads with 194 million monthly active users in Q2, followed by InShot with 25 million. Meanwhile, CapCut and Instagram’s Edit have dominated iOS downloads this quarter, with 28 million and 7 million downloads, respectively.

Despite lagging in the numbers, YouTube Create shows some momentum, with a 28% year-over-year increase in monthly active users in Q2, outpacing a 9% rise for CapCut and a 7% decline for InShot, per the Sensor Tower data.

“While boasting solid user growth on a year-over-year basis, YouTube Create has struggled to keep up with some of its larger, more established peers such as CapCut, with the latter having more than 10x the number of monthly active users,” said Abe Yousef, a senior insights analyst at Sensor Tower.

YouTube Create may be building a more loyal user base, Yousef suggested. Rising active user numbers alongside declining downloads could indicate that people who previously tried the app are returning to use it regularly.

“CapCut coming out many years ago, coupled with the fact that it’s seamlessly integrated with its sister app, TikTok, likely plays into this material size difference with YouTube Create,” said Yousef.

Still, YouTube Create is facing some retention issues. Its 90-day retention rate — the percentage of users who downloaded the app and still use it 90 days later — was roughly 1% in Q1, far below CapCut’s 7% and InShot’s 4%.

Engagement metrics highlight the gap, too. Users spend an average of 38 minutes per month on YouTube Create, compared to 62 minutes for CapCut users. CapCut users also open the app more often, averaging 23 sessions monthly versus 11 for YouTube Create.

Geographically, YouTube Create’s user base is diversifying. India represented 67% of total monthly active users on YouTube Create in the second quarter of last year, but that share has dropped to 51% this quarter as the app gains traction elsewhere. Still, YouTube Create appears to be gaining stickiness in India, with daily-to-monthly active user ratios improving from 9% last year to, so far, 12% this year.

In addition to India, Indonesia has emerged as YouTube Create’s second-largest market, representing 21% of its global monthly active users. Germany (5%), Brazil (4%), and the U.K. (3%) round out the top markets.

The app is showing particularly strong growth in several other markets, too, with year-over-year monthly active user increases of 119% in Spain, 91% in South Korea, 89% in France, and 71% in Singapore.

“An iOS release of YouTube Create could absolutely help the platform grow its market share, though fierce competition in the space both from other social media-backed video editing platforms and native video editors will persist,” Yousef said.

Google did not respond to requests for comment.