search.noResults

search.searching

note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
Jem Pagan, CTO, Flatiron Strategies Leading Voices D USBE Magazine’s Leading Voices


have a clear view of innovation and the future of work in the Digital Era. In this maiden issue, Morgan State University’s Dr. Michael Spencer, one of the most active engineering deans in the growth of compound semiconductors, microwave devices, power conversion devices, and solar cells, explores Makerspaces, student creativity, and next generation jobs. Innovation expert Jem Pagan takes things to the next level by looking at how you can disrupt yourself, provoke your skill development, and take advantage of opportunities in the digital marketplace.


Leading Voices Contributing Editors .........................


Dr. Michael Spencer Dean


School of Engineering Morgan State University


John W. Morgan Chief Operating Offi cer EagleForce Associates, Inc.


Jem Pagán


Chief Technology Offi cer Flatiron Strategies


Exploring New Ways to Measure Diversity Value


iscussions about how to measure a company’s diversity value have been


debated for several years with various ideas on how to do so most eff ectively. Adding to the commentary of accurately gauging diversity is the changing landscape of what factors to consider when determining core diversity values. As professional organizations move into the next generation of workforce development, it will be imperative to consider new paradigms and new tools to maximize workforce diversity. Beyond Today’s Measuring Parameters Most models of measuring


diversity value implemented by today’s corporations can be categorized into one of two primary approaches. Qualitative analyses capitalize on the expertise of HR executives and managers’ feedback that assesses reports on how teams work together, how the teams view projects and peers working on the projects, and so on. Quantitative analyses assess more statistical activities, such as how many emails are sent between team members, how a particularly diverse team pairs up against a less diverse team, and which team is more expeditious at successful job completion. Although quantitative assessments provide more usable data, the results are often hit or miss. My desire to see a more defi nitive


measurement tool for diversity value has propelled me to create a product that provides systematic analysis and cultural index dashboards for HR executives that can measure diversity from a completely diff erent standpoint. This approach, which relies on internally produced data rather than external assessments, utilizes artifi cial intelligence inside of the organization’s communications resources that collects fi rst-hand employee sentiment directly through team chats, discussion boards, and emails. It also employs artifi cial intelligence bots that cover and oversee compliance of privacy and protection for employees, allowing HR executives to get much closer to employees as they begin company onboarding processes.


78 USBE&IT | WINTER 2017 I believe this is the direction of


next-generation diversity measurement. More than ever before, executives will be able to use digitization to fi ll the gaps professional HR executives simply cannot cover because of the broad ratio between HR professionals and the number of employees they service. The Benefi ts of AI and Virtual Assistance With an internal AI digitization


tool, diversity measurements will come from more altruistic sources: conversations and sentiments that are happening in real time from within the organization. Providing dashboard access to HR professionals will allow them to focus on and gather insights into the organization as a proactive means of driving diversity versus reactive processes. At the same time, executives will be able to reduce the amount of qualitative analyses that are driving HR decisions and produce more data-driven, quantifi able outcomes that will be more believable and actionable. Further, it can present a historical view that will show and support never-before-seen trends from a broader audience, with more data providing the insights needed to drive the organization to a positive culture and inclusion strategy. This will ultimately measure diversity investment against the organization’s critical success factors. At the executive level, diversity will become a more strategic component of the organization, not a forced, mandated application for its workforce. Virtual HR and AI platforms


can also play very important roles in understanding how to tap into the insight of individual employees and help them become high-performing employees. By “listening” more acutely to their day-to-day experiences, orientation processes become extremely deliverable. Executives will have direct access to the questions employees have, which will allow managers to answer in real time, measure the number of questions coming from onboarding processes, and analyze common questions and trends. These executives


www.blackengineer.com


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96