Pioneering people-focused business intelligence tool supports project and asset performance.
h’alt™ is an innovative machine learning-based mentor designed to help wind power specialists make the right decisions at the right time across a project’s lifecycle.
“In the fast-moving renewables sector, 人必须有适应能力, resilient and equipped to make informed decisions,” says Rakesh Maharaj, Futurist and Chief Technical Officer at h’alt™.
“To deal with the pace at which we’re moving, we have to accelerate the rate at which we recognise the issues people face on the ground,” 他说. “And when we can do that, we can address those issues, systemically.”
h’alt™ empowers individuals on the ground to make better, 更明智的, decisions that enhance performance and mitigate risk. The tool’s game-changing mentor function actively directs busy professionals to expert, role-based content that strengthens both individual and collective decision making.
这个内容, which focuses on front-end loaded decision making, covers all aspects of a project’s lifecycle and is based on information gathered during real world investigations, 审计和转换项目.
“The power of decision making often lies within informal networks,” says Maharaj. “和他一起, you can leverage that power by informing the informal network, so teams across a project use the same language, and know what factors to consider and what the outcomes should be.”
Unlike most other applications of machine learning technologies in the renewables sector, H 'alt™专注于人力资本, 而不是项目资产.
“It’s unique in allowing you to understand whether your organisational capacity matches operational demand in terms of your people,Khalida Suleymanova说, Chief Implementation Officer at h’alt™.
“它收集的情报, and the way in which it gathers and feeds back this intelligence, means improvements can be made based on reality, 而不是感知.”
As well as supporting holistic in-workflow decisions, h’alt™ monitors and assesses teams’ patterns of engagement. This means it can collect and disseminate valuable data, enabling organisations to identify key risk indicators.
“Using a tech-based but people-focused approach, h’alt™ helps organisations work better together, improves competence and gathers performance-critical data,苏莱曼诺娃说. “因为它向用户学习, the system also builds and distributes organisational knowledge, which is vital for on-site decision making in the fast-paced, complex and uncertain environments facing the wind power sector.”
h’alt™ is 集成到Microsoft Teams中, making it easy to implement and convenient to access. 该工具支持本地策略, 程序和作业指导书, and allows organisations to link to their own resources and content.
h’alt™ is already being deployed in one of the world’s largest OEMs, and a leading energy association is supporting the platform’s implementation within its jurisdiction.
For more information, please contact:
• Khalida Suleymanova, Chief Implementation Officer: khalida@h-alt.io
• Rakesh Maharaj, Futurist and Chief Technical Officer: rakesh@h-alt.io
Connect with us on our social media channels: http://www.linkedin.com/showcase/h-alt-io/
对h 'alt™
h’alt™ is a machine learning-based mentor, 集成到Microsoft Teams中, 建立高效的团队. h’alt™ helps renewable energy professionals, 有经验或资历浅, make the best decisions across the asset lifecycle by giving them access to role-based content when they need it.
The tool promotes front-end loaded decision making, uses safety as a driver for performance, and stimulates a unified way of executing projects.
欲了解更多信息，请访问: http://h-alt.io
十大网博靠谱平台h 'alt™背后的团队
h’alt™ has been developed by the same team of innovators that established ARMSA Academy, which delivers evidence-based learning solutions to improve performance through better informed individuals. ARMSA consultants have been supporting the energy sector in improving effectiveness, 自1996年以来的效率和安全.
更多信息请访问: http://armsa.academy
