Letters of recommendation (LORs) provide valuable insights into candidates' capabilities and experiences beyond standardized test scores. However, reviewing these text-heavy materials is time-consuming and labor-intensive. To address this challenge and support the admission committee in providing feedback for students' professional growth, our study introduces LORI: LOR Insights, a novel AI-based detection tool for assessing leadership skills in LORs submitted by online master's program applicants. By employing natural language processing and leveraging large language models using RoBERTa and LLAMA, we seek to identify leadership attributes such as teamwork, communication, and innovation. Our latest RoBERTa model achieves a weighted F1 score of 91.6%, a precision of 92.4%, and a recall of 91.6%, showing a strong level of consistency in our test data. With the growing importance of leadership skills in the STEM sector, integrating LORI into the graduate admissions process is crucial for accurately assessing applicants' leadership capabilities. This approach not only streamlines the admissions process but also automates and ensures a more comprehensive evaluation of candidates' capabilities.

AI and automation will change the nature of labor. This AI-driven and data-driven change or "intelligence revolution," as it is commonly called, must not be overlooked by CEOs. Today's and tomorrow's business leaders must address the following issues: how to use AI, how to deal with people-related problems, how to avoid ethical hazards, how do you ensure that the right technology is in place, and many other things. What are the capabilities we're referring to? These ten leadership skills must be developed to succeed in the intelligence revolution.

The acceleration of Digital Transformation has one of its "ideal" outcomes, in the domain of industry, the attainment of "lights out" factories where the technologies which comprise artificial intelligence have "electronically gifted" machinery doing all the work. I hold to the opinion that no matter how automated we become, owners of billion dollar assets will still want human beings walking around, keeping an eye on things, smelling things, listening for indicators of concern, and applying "intuitive" skills to make sure things are OK. They will, of course, be utilizing more powerful, more intelligent machines than exist today. Visioning and strategy and leadership will still be the domains of human beings. The beneficial outcome for human beings from the burgeoning emergence of artificial intelligence and automation is that it will free up people to do higher value work.

Artificial intelligence (AI) is transforming how businesses execute their operations and communicate with their customers. Using human-like computers, companies have begun automating most of the functions previously done by humans because AI can perform them much better, faster, and efficiently. This revolution has led to a change in skills requirements in most jobs, and as the technology gets stronger, robots will supersede human efficiency and intelligence in every task. As a result, HR leaders are now preparing for the future of the work through learning and reskilling. Since AI is smarter, some jobs are either being automated or replaced with AI and robots.

In the biggest meeting of women Data Science leaders from across the domain, women professionals from the industry and academia will come together for The Rising. The conference will serve as a forum for exchange for building a better idea for women participating in STEM and will also highlight the achievements and career interests of women in data science. The conference will provide a platform to leading women visionaries to dive into the field of data science and share their perspective on how to build a career in this buzzing field and their role in data science. Through a series of talks and informal sessions, this 2-day conference will empower women and help them in the development of leadership skills. In the biggest meeting of women Data Science leaders from across the domain, women professionals from the industry and academia will come together for The Rising.

Leadership in AI requires seeing the horizon and planting poles clearly to guide those who follow. This blog is a continuation of the Building an AI Leadership Brain Trust Blog Series which targets board directors to accelerate their duty of care to develop stronger skills and competencies in AI. Either modernize or atrophy is a reality for laggard companies not preparing to compete in the increasingly intelligent world, where sensors and AI methods will be embedded in every business process. Over 80% of the companies investing in AI do not drive ongoing operational practices, rather AI is an investigative approach used to answer difficult questions, but unfortunately sustaining sponsorship to sustain the AI models, in many cases, simply dies off. I have identified over 40 overall skill domains in the AI Leadership Brain Trust Framework, and you can see the full roster, see my first blog.

AI and automation will change the very nature of work. It's really important that leaders don't ignore this AI- and data-driven revolution – what I call the "intelligence revolution" – or allow other leaders in the organization to ignore it. Working out how to use AI, dealing with people-related challenges, avoiding the ethical pitfalls of AI, making sure you have the right technology in place, and so on – all are key considerations for the business leaders of today and tomorrow. This technology revolution will change what it means to be a good leader. It makes sense, then, that business leaders in the intelligence revolution will need to adapt.

AI and automation will change the very nature of work. It's really important that leaders don't ignore this AI- and data-driven revolution – what I call the "intelligence revolution" – or allow other leaders in the organization to ignore it. Working out how to use AI, dealing with people-related challenges, avoiding the ethical pitfalls of AI, making sure you have the right technology in place, and so on – all are key considerations for the business leaders of today and tomorrow. This technology revolution will change what it means to be a good leader. It makes sense, then, that business leaders in the intelligence revolution will need to adapt.

Listening is the most important skill a leader can master. It is the basis of many other leadership skills. However, it is a tough skill to master as it requires us to be more present, attentive, engaged, patient and flexible. Good listening skills in this digital era, is fast becoming an endangered species. There is a difference between hearing what someone is saying and actually listening to them.

To help their organizations capitalize on artificial intelligence and analytics, CAOs must do more than demonstrate their technical chops. They need to lead like a Catalyst. The role of the chief analytics officer (CAO) is being thrust into the spotlight as artificial intelligence (AI) technology continues to improve--and prove its value. AI and other advanced analytics will unlock $9.5 trillion to $15.4 trillion annually, with recent AI advances such as deep learning alone making up nearly 40 percent of the total. Given the enormity of the stakes, it's no surprise that CEOs are asking their CAOs (or those assuming CAO duties under a different title) to deploy and scale AI and advanced analytics--stat. Yet while the opportunity is great, so too is the challenge.