Today I sat down with Monte Turner, a partner with of Evaluate.AI (Hum.Ai.n). (1/15/2025)
Saurabh: Hello and welcome to the New Year. In today's rapidly evolving technological landscape, deep tech is revolutionizing how businesses operate, particularly in the realm of Talent Management Systems (TMS). This transformative approach is reshaping traditional HR processes, and at the forefront of this revolution is Evaluate AI's groundbreaking Hum.Ai.n engine.
Monte Turner is a managing partner at Evaluate AI, here to help us understand what deep tech means for TMS and explore how this innovative solution is changing the game. Thank you for your time today, Mr. Turner.
Monte: Cheers. Not a problem. This is fun stuff.
Saraubh: So, can you help us understand Deep Tech in the Context of TMS, that is Talent Management Systems?
Monte: Of course. Deep tech refers to breakthrough scientific discoveries and engineering innovations that address fundamental challenges through substantial technological advancement. Unlike conventional software solutions, deep tech involves complex technical innovations that require significant research and development. In the context of TMS, deep tech encompasses artificial intelligence, machine learning, natural language processing, and advanced analytics to create more sophisticated and effective talent management solutions.
Saurabh: How did this come about? How did it evolve?
Monte: Traditional talent management systems have typically focused on basic functionalities like applicant tracking, performance management, and employee database management. However, deep tech is transforming these systems into intelligent platforms that can do many things.
For instance, it can predict employee performance and potential. It can analyze behavioral patterns and work preferences. It can also provide real-time insights into workforce dynamics and offer personalized learning and development recommendations. Finally, it enables data-driven decision-making in HR processes. Our Hum.Ai.n Engine is a truly revolutionary approach.
Saurabh: So, this new technology. Hum.Ai.n … totally cool name by the way … can you tell us more about it?
Monte: Evaluate AI's Hum.Ai.n engine (patent pending) represents a significant leap forward in the application of deep tech to talent management. This innovative solution combines advanced AI capabilities with human-centric design to create a more nuanced and effective approach to talent assessment and management. It makes AI more human-like.
One key feature of this engine is the Advanced AI-Powered Analytics. It utilizes sophisticated algorithms to process vast amounts of data, identifying patterns and insights in the HR process, into talent acquisition, that would be impossible to detect through traditional methods. This enables more accurate predictions about employee potential and performance.
The Human-Centric design is unlike purely automated systems. Hum.Ai.n is designed with human behavior and psychology in mind. It considers the complexities of human interaction and decision-making, creating more meaningful and accurate assessments.
The system has adaptive learning capabilities. It continuously learns and evolves from new data and interactions, improving its accuracy and effectiveness over time.
Also, it can analyze many concurrent data points and variables that simple human interaction and analysis cannot. This is called comprehensive talent intelligence. It provides a holistic view of talent within an organization, enabling better strategic decisions.
Saurabh: That sounds pretty advanced. Are there real-world applications or benefits for us right now?
Monte: (Laughing) Oh you want a list. All right.
The implementation of Hum.Ai.n in talent management scenarios has demonstrated several significant benefits:
Enhanced Recruitment Accuracy
Improved candidate matching with job requirements
Reduced bias in hiring processes
More efficient screening of candidates
Better Performance Management
I can keep going if you like.
Saurabh: Absolutely. Spill.
Monte: How about
More objective performance assessments
Predictive insights into employee potential
Personalized development recommendations
Strategic Workforce Planning
Advanced workforce analytics
Improved succession planning
Better resource allocation
Saurabh: Okay. Got it. So really, deep tech elevates all aspects of talent management? It sounds like the future of TMS is all about deep tech.
Monte: It is! As deep tech continues to evolve, we can expect to see even more sophisticated applications in talent management. There will be increased personalization. Future systems will offer even more personalized experiences for both employees and managers, taking into account individual preferences, learning styles, and career aspirations. That’s what machine learning does here. It learns.
The predictive capabilities will become better. Advanced AI algorithms will become better at predicting employee success, retention risks, and development needs.
We are really just touching the surface. There will absolutely be greater integration of deep tech solutions into many, many other business systems, providing a more comprehensive view of organizational talent and performance.
Saurabh: So, how doe the people reading this go about implementing deep tech Solutions?
Monte: Well, for organizations considering the adoption of deep-tech solutions like Hum.Ai.n, several factors should be considered. First, are they ready? They need to do an assessment to look at their current technological infrastructure. And their data. Data is the foundation of deep tech. Is the data available and is it quality? Next, they need to consider their organizational culture. Is the organization ready for the future?
Then they need to develop an implementation strategy. They should emphasize a phased approach to adoption. Put the training and support requirements in place. Then look at how to integrate deep tech with their existing systems talent management systems.
Finally, they need to put evaluation in place. What are the success metrics? They need clear KPIs for measuring impact, they need to do regular evaluation of outcomes, and they need to have a continuous improvement process.
Saurabh: Wow. That’s a lot. But it sounds like it’s the future and when you are talking about getting the best talent you had better be at the forefront of this, right?
Monte: Look, deep tech is fundamentally transforming the talent management landscape. Solutions like Evaluate AI's Hum.Ai.n engine are leading this revolution. By combining advanced AI capabilities with human-centric design, these systems are creating more effective, efficient, and equitable talent management processes. As organizations continue to navigate the complexities of modern workforce management, the role of deep tech will become increasingly crucial in driving success and competitive advantage.
The future of talent management lies in the intelligent application of deep tech solutions that can balance technological sophistication with human insight. As these systems continue to evolve, organizations that embrace these innovations will be better positioned to attract, develop, and retain top talent in an increasingly competitive marketplace.
Saurabh: Thank you for your time.
Monte: Of course.
Saurabh Arora is an IT journalist, AI expert, and IT trainer with over a decade of experience at one of the world’s largest tech firms. He covers the rapidly evolving technology landscape and can be found at MostlyGeek.in
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