Public Sectors

Minimising Cyber Threats through the effective delivery of Prevention, Detection, and Response Strategies is always a better security & service . For government, cybersecurity isn’t only a challenge—it’s a big obstacle to long-awaited digital transformation. Plus, the stakes are sky-high: Hacking public-sector information might imperil national security as well as citizens’ trust.  Because of their vital role, public sector organizations serve as a prime target for attackers. Recently, government entities have been aggressively targeted by ransomware. Elections and other high-profile events, have also served as targets of attacks in recent years, pressing government entities to keep cybersecurity top of mind. Taking preventive measures will mitigate the risk of an attack, protect your confidential information, and sustain operations so you can better serve our citizens and maintain their trust.

Smart City enables a city to make advances in all the areas and help position a city as a leading edge “Smart City” – efficient, progressive, with a connected and engaged community. Our carrier-grade AI based Secured Network solution provides a platform for business and service innovation whether  for secured network services for hospital, business or residential building, a municipality, hotel or educational campus, leading to a Smart City. 

With the implementation of Voicebots & chatbots, the primary purpose to do so is to transform the public sector service delivery. Additionally, the Government can also use Voicebots & Chatbots for helping citizens through text based messages. These can be in the form of answers to frequently asked questions. For example, citizens can message to ask questions about their billing information or to seek help to complete their tax transactions.

The use of real time sensors and cameras can help the public sector in a number of ways. For example, it can help with smarter management of traffic with predicting traffic flows, optimizing traffic light timing, and gaining insights into public transport and directing people to ride sharing.

The use of data analytics is another area where AI can hugely benefit the Public Sector. For example, the Fire Department can use use data analytics to have optimized medical emergency responses. It recommends dispatcher, which is an apt response to a medical emergency need. It can help make a decision related to if a patient to be treated on-site or be taken to the hospital. The insights have helped reduce the running around for their emergency response teams.

Current challenges like high claim or case volumes, manual data entry, lack of integrated data, and ad hoc decision-making result in long processing times, inaccurate reporting and inconsistent outcomes. Machine learning with  automation process can speed up data entry and minimize errors. Semantic technologies can automate a broader array of decisions, and intelligently route complex cases to a specialized case manager.  We can quickly create a prototype solution that used machine learning and predictive analytics to streamline and shorten the evidence gathering process for adjudicating claims.

Extended call wait times and case backlogs create a poor customer experience that can result in non-compliance, loss of revenue, and poor public reputation.Virtual agents with natural language processing can enable customer self-service and route citizens to the right information or representatives, freeing up call centers and employee time for more complex cases.

The inability to identify the right talent pool and execute targeted recruiting in a timely and effective manner as well as difficulty assessing the competencies of potential hires can compound existing workload/backlog issues. Natural language processing and machine learning can identify applicants with the right skills and behavioral attributes for future job success. Using machine learning, it can deploy an assessment solution that can extract and understand behavioral attribute patterns from a candidate’s digital interview through audio, video, and text analysis.The benefits include gaining insight into skills and attributes that matter, building teams with top performers, improving retention rates, and reducing the recruiting process cycle time for global recruiting efforts. 

Disparate data and organization structures result in difficulty identifying and proactively mitigating vulnerabilities across the enterprise. Automation process can validate and integrate data from multiple sources. Machine Learning can analyze behaviors to identify emerging trends in fraud and abuse so that agencies can act before they cause significant damage.

Manual, infrequent inspections and maintenance processes result in high cost of repairs and safety concerns. Remote sensors, video analytics, and machine learning can be combined to model and predict risks, such as mechanical failures, contaminated food, or public safety threats to save the investigator time by pinpointing higher likelihood cases, and in that way, the investigator can take pre-emptive action.