Maternal and child health (MCH) has become a top concern nationwide, particularly in disadvantaged, underserved and rural communities. According to the U.S. Department of Health and Human Services (HHS), the United States is experiencing a maternal health crisis nationwide, as it has one of the highest maternal mortality rates among high-income nations; increasing rates of complications from pregnancy or childbirth; and persistent disparities in such outcomes.

Since 2023, we have seen an explosion in the number of state data privacy laws, demonstrating a clear focus amongst state governments in data privacy. In fact, according to the National Conference of State Legislatures, “at least 40 states and Puerto Rico introduced or considered at least 350 consumer privacy bills in 2023.” These data privacy laws create protections for a range of several types of data, from general consumer data protections to specific protections for health data and minor data.

The year 2024 is just around the corner, and with a new year typically comes new priorities. However, some things, like digital government, are here to stay. Improving the Citizen Experience will continue to be a top priority both now and, in the future, as the modern world emphasizes the importance of personalized services that provide agility, accountability, transparency, equity, efficiency, adaptability.

Prioritizing Citizen Experience

Data analytics played a pivotal role in state, local, and education (SLED) governments’ response to the COVID-19 pandemic, and the emphasis on the importance of data has only continued to magnify over the last couple of years. Data analytics and related technology tools provide a host of benefits ranging from real-time data analysis, increased transparency and accountability, streamlined citizen facing services, better decision making and savings in both costs and time.

As the demand for trustworthy visual data collection and advanced technologies to support strategic decision-making continues to rise, geospatial intelligence plays a vital role in delivering essential military and environmental insights to the intelligence community. Recently at the GEOINT Conference in St. Louis, leaders from several intelligence agencies shed light on the future of geospatial intelligence (GEOINT) and its relationship with emerging technologies.

For the second year in a row, Gartner named IBM a Leader in Gartner Magic Quadrant for 2021 Cloud Database Management Systems based on its Ability to Execute and Completeness of Vision. With emergence of a single cloud DBMS market, We believe our portfolio of feature-rich, enterprise-tested offerings, bold acquisitions, and partnerships enable our clients to address the unique needs of their business, respond to the growing volume, velocity and variety of today’s data and drive more accurate data driven decisions.

The COVID-19 pandemic has spurned greater demand for health information technology (IT) by demonstrating the importance of having robust medical research, health surveillance and healthcare systems capable of rapidly responding to new and developing situations, something which requires strong IT investment in big data, cybersecurity and cloud. In addition, both the pandemic and emerging technologies have led to numerous changes within the healthcare industry, such as telehealth expansion and increased use of wearables, which necessitate robust health IT solutions.

Any federal IT pro can tell you that analyzing log files is something they’ve been doing for years. That said, as applications get more complex, performance becomes more important and security issues increase. Log analytics are fast becoming a critical component of an agency’s monitoring and management infrastructure.

So much data, so little time. Disparate sources such as sensors, machines, geo-location devices, social feeds, server and security system logs, and more, are generating terabytes of data at unfathomable speeds. Getting any kind of real-time insight and, we dare you to dream, acting on that data as it flows in, is not an easy feat for resource-constrained government agencies.

There are many opportunities in the public sector for data science and data analytics, yet, almost as many challenges. When we kicked off Big Data Month at DLT, we asked our Chief Data Scientist, Sherry Bennett, for her insights. What became clear is that the obstacles to big data success are universal to both the public and private sector: “…everybody…is grappling with the same thing.