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Compare Visier with Similar Companies
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|---|---|---|---|---|
Overall Rating | - based on 0 reviews | 3.7/5 based on 89.2k reviews | 3.7/5 based on 52.8k reviews | 3.8/5 based on 56k reviews |
Highly Rated for | - | Job security Work-life balance | Job security | Skill development Job security Company culture |
Critically Rated for | - | Promotions Salary Work satisfaction | Promotions Salary | Promotions |
Primary Work Policy | - | Work from office 80% employees reported | Hybrid 61% employees reported | Hybrid 74% employees reported |
Rating by Women Employees | - no rating available | 3.8 Good rated by 25.8k women | 3.8 Good rated by 15.1k women | 3.9 Good rated by 21k women |
Rating by Men Employees | - no rating available | 3.6 Good rated by 58.2k men | 3.7 Good rated by 35.2k men | 3.8 Good rated by 32.4k men |
Job security | - Data not available | 4.5 Good | 3.8 Good | 3.8 Good |
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Visier Salaries
Front end Developer
(3 salaries)
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₹1.6 L/yr - ₹3 L/yr
Visier News
NFL lessons for HR? How to drive tech adoption with digital twins
- Pioneering Digital Athlete initiative uses AI and machine learning to provide player insights, potentially predicting and preventing injuries.
- Digital Athlete gathers data from various sources, such as player stats, video footage and sensors that monitor performance via embedded tracking devices, and runs millions of simulations to assess risks and optimize performance using AWS technology.
- Implementation of the Digital Athlete program required working partnerships with all 32 NFL teams to secure buy-in and needed to prove that AI-driven data would be meaningful and actionable.
- Digital twin technology is core to the concept behind Digital Athlete and creates a virtual model of a real-world system.
- Global analyst Josh Bersin makes the connection between digital twins and AI agents and predicts the former technology will be advanced by the latter in artificial intelligence.
- HR executives can learn from Langton's experience to build technology that is designed for the end-users to help shape the behavioral change needed for successful adoption.
- Langton recommends personalizing education for employees, involving stakeholders and aligning AI technology with organizational goals to drive meaningful transformation in teams and the organization as a whole.
Hrexecutive | 10 Feb, 2025
NFL lessons for HR? How to drive tech adoption with digital twins
- Jennifer Langton, SVP of player health and innovation at the NFL, developed the league’s first injury reduction strategy and spearheaded the Digital Athlete program. The program leverages AI and machine learning to provide comprehensive player insights giving teams access to the Digital Athlete portal, which provides training volume, injury risk insights and league-wide benchmarks. HR leaders can take valuable lessons for driving the tech adoption within complex organizations from this experience particularly in creating relatable tech and aligning stakeholders for success.
- For elite athletes, changing long-standing practices is challenging. Similarly, in HR, shifting workforce behaviors to embrace AI requires a thoughtful approach. Langton highlights the importance of personalizing education aimed at amplifying the knowledge and skills of those to whom technology is targeted.
- To implement new technology one has to partner with stakeholders and build technology with direct input from those who will use it. Collaborate with tech providers that understand your vision and leverage strategic partnerships to deliver scalable solutions. Align with broader organizational and personal goals to carry the workforce up the ladder of tech adoption and effectively leverage AI-based solutions for the organization’s betterment.
- The article concludes that HR leaders have an opportunity to apply these principles to drive meaningful transformation within their work teams and the organization as a whole. By making technology relatable and securing buy-in through collaboration and partnerships, we can drive meaningful tech adoption to ensure organizational success.
Hrexecutive | 8 Feb, 2025
NFL lessons for HR? How to drive tech adoption with digital twins
- Jennifer Langton, the former senior vice president of player health and innovation at the NFL, developed the league’s first injury reduction strategy and spearheaded the Digital Athlete program.
- Digital Athlete program leverages AI and machine learning to provide comprehensive player insights—potentially predicting and preventing injuries.
- Digital Athlete runs millions of simulations with AWS technology to assess risks and optimize performance.
- Teams have access to the Digital Athlete portal, which provides training volume, injury risk insights and league-wide benchmarks. Coaches and training staff use this data to tailor prevention and recovery plans.
- Langton believes HR leaders can take valuable lessons from her experience, particularly in driving the adoption of new technology within complex organizations like the NFL.
- For successful adoption of technology and changing users' behaviours people are far more likely to adopt technology when it is designed for them and developed with their input.
- The Digital Athlete program required extensive partnerships, including working with all 32 NFL teams to secure buy-in and to convince teams to adopt and use AI-driven data.
- Digital twin technology—using AI to create a virtual model of a real-world system—is core to the concept behind the Digital Athlete.
- HR leaders can consider transplanting Langton's approach, that employee need to see how AI supports broader personal and organizational goals, in HR to ensure employee buy-in.
- As AI continues to reshape industries, HR leaders have an opportunity to drive meaningful transformation within their teams and the organization by adopting the above approach.
Hrexecutive | 5 Feb, 2025
For busy employees, could agentic AI be a morale booster?
- AI agents can autonomously handle tasks of busy employees, freeing them up to focus on more value-adding tasks, according to Dr. Rebecca Hinds, head of Asana’s Work Innovation Lab. Bersin claims that agentic AI is the next wave of AI and will autonomously handle organisational tasks, whether they involve administrative work or other complex workflows. Evidence suggests that rather than replacing humans, AI agents can bring value to an organisation. Hinds highlights that by automating mundane tasks such as meeting notes and status updates, AI agents offer efficiency and alleviate the “tax on morale” imposed by these activities. Beyond efficiency gains, AI agents offer a new level of objectivity for managers for identifying task blockers and streamlining work.
- Based on the IKEA Effect – where individuals value products they help create – Hinds suggests that giving employees autonomy in designing AI use cases fosters motivation and innovation. Furthermore, the more employee interactions with AI solutions, the greater the likelihood that they’ll view AI as a teammate rather than as a standalone technology. Consequently, Hinds advocates for employees to build AI solutions and interact with them daily. Hinds cautions against undervaluing subject matter expertise in AI development and suggests that HR plays a critical role in ensuring AI adoption aligns with company culture and business objectives while also preserving the human touch in this age of digital transformation. Looking ahead, companies that strategically leverage AI agents can reduce digital fatigue, enhance collaboration, and create more resilient workplaces.
Hrexecutive | 4 Feb, 2025
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