The use of Internet of Things (IoT) to manage infrastructure and services is not a new concept, but response to the new normal of pandemic life, natural disasters, and the implementation of 5G networks all could accelerate the implementation of IoT solutions.
Stay-at-home orders, social distancing measures, and backlogged inspection schedules all combine to make a great case for implementing sensors and other IoT devices as part of infrastructure management. With technology providing data on the status of equipment, facilities, and general infrastructure like roads and bridges, the need to deploy inspectors to the field can be minimized. In the short term, this reduces potential points of exposure for inspectors and field staff. Longer term, it adds a new "colleague" to field management teams. IoT can handle routine, low risk monitoring, freeing up humans to focus on more complex or higher priority tasks and activities.
In regards to remote working, the general consensus seems to be, "you can't put the genie back in the bottle."
A good portion of the government workforce has been working from home for the past year, and the world has continued turning. In fact, some agencies report productivity is up since teleworking became the norm. While people will return to the office, it will look different with many alternating office days with days they work from home. The past year has shown us that working arrangements do not necessarily need to be confined to an office. And, when we also remove the stress of students learning from home, caring for homebound elderly parents, and a pandemic in general, employees may realize a new level of balance and job satisfaction.
To support the continued success of remote work, agencies need to shore up the IT that was put in place to simply keep the trains running on time. Some technology was implemented quickly to meet the immediate need, and now is the time to take a hard look at all of those solutions to see if they will scale to meet the long-term reality of a dispersed workforce.
The battles of tomorrow will likely not be fought on the ground, they will take place in cyberspace as nation-states and rogue actors alike look to interrupt the everyday functions of a country via high-tech attacks. Recently we saw theRussian hack of software, designed (ironically) to help organizations monitor network problems and anomalies, which has the government and private companies scrambling to determine what data was compromised. With cyberspace being the new battlefield, data and data management have quickly become a strategic asset in the DoD arsenal.
Last fall, the DOD released the Department's Data Strategy. An overarching guidance on how they will manage, secure, and use data. This document supports theDOD's transition to "a data-centric organization that uses data at speed and scale for operational advantage and increased efficiency." The Data Strategy includes 7 goals, nicknamed VAULTIS, to becoming data-centric:
The development and use of Artificial Intelligence (AI) became official policy of the United States with the signing of an Executive Order in February. This order outlines and directs America's government-wide push to advance the use of AI through research and public/private partnerships. In the ensuing months, the Department of Energy has emerged as a leader in these efforts.
In September 2019, the DOE initiated the Artificial Intelligence and Technology Office (AITO) to help channel the department's vast resources across its national lab facilities. These efforts are paying off as DOE partners with Health and Human Services and Veterans Affairs as part of the COVID-19 Insights Partnership with the goal to increase data sharing and analysis in the fight against the spread of COVID-19. The DOE is also pressing ahead with private partnerships announcing the First Five Consortium with Microsoft, the Pacific Northwest National Laboratory, and the Defense Department's Joint Artificial Intelligence Center (JAIC). Together they will develop AI-based solutions for data-first responders.
With many people in a rush to put 2020 behind us, those of us in the government market can safely say we're operating like it's 2021 (not as fun as partying like it's 1999, but anything beats 2020, right?). While the rush to meet the deadline for federal government fiscal year (GFY) spending on September 30 may have felt oddly comforting in its familiarity, there are many changes happening in government acquisition and procurement to make processes more responsive to today's workforce and technology needs.
The use of automation is expanding beyond using Robotic Process Automation (RPA) to handle rote, repetitive tasks. RPA has been incredibly beneficial for freeing up the time of acquisition professionals to focus on innately human activities, rather than administrative tasks. Now, acquisition groups are going a step further and introducing Artificial Intelligence (AI) to improve processes by tapping into all of the data available in acquisition systems. For example, GSA uses an AI-enabled bot to "track, find and change Section 508 disability clauses in contracts." This helps ensure compliance, feeding updated clauses to humans for final review.
In September, the Department of Defense (DOD) issued Directive 5000.01, an update to the 5000 series instructions that focuses on the roles and responsibilities for its acquisition process in an effort to simplify the buying process. The end goal of this simplification is to get technology in the hands of the warfighter faster. Continue reading →