More than four out of five organizations in the public sector intend to use AI, according to a Deloitte study. As use cases illustrated in this paper attest, government departments are making headway leveraging some form of AI, typically for the sake of efficiency as well as improved efficacy and accuracy in outcomes that serve constituents. The complex infrastructure of government faces a kind of dilemma. It has at its disposal vast amounts of data from which it can derive an equally vast knowledge base of information, insights, and solutions but how are government workers expected to transform all that data into actionable insights and viable solutions? It is painstaking work that requires highly specialized skill sets and an enormous amount of time.
Download the White Paper to:
- Understand how federal institutions like FEMA and Department of Agriculture are making use of AI technologies
- Read more about the process of leveraging Natural Language Processing techniques to analyse and digitize government records
- See the evolution of the position of the Chief Digital Officer and the workforce being built to support it
- See how chatbots and virtual assistants have transformed the ways in which government departments tackle public inquiries
First 300 Words
“In the 21st Century, data will eclipse both land and machinery as the most important asset.” So says futurist and social scientist Yuval Noah Harari, in his book, “21 Lessons for the 21st Century.”
Indeed, it is hard to overstate the pervasive influence data can wield in our lives. When harnessed for the good of the populace, government data contains the potency to vastly improve the quality of life for citizens and the quality of work for government employees. The plenitude of data is staggering. By 2025, projects research firm IDC, all the data that we create, capture and replicate will total 175 zettabytes — or 175 trillion gigabytes. One government stakeholder who agrees with Harari on the epoch-making value of data compares it to “the iron and ore of the industrial age.” The technology that makes data a profound game-changer for the presumed betterment of society is Artificial Intelligence (AI).
We’ve all heard of AI, but what is it exactly? Let’s go to the source. That would be Stanford University professor John McCarthy, who first used the term in 1955, describing Artificial Intelligence as the “science and engineering of making intelligent machines, especially intelligent computer programs.” It is the limitless talents of those intelligent computer programs that invest data with virtually superhuman capabilities — to summarize, to analyze, to prescribe solutions, to predict and to prevent outcomes. Through AI, we can teach machines — to emulate and understand human language and speech; human sight; and human intelligence — so they in turn can teach us.
In more technical terms, those are known as the AI modes of Natural Language Processing (NLP) and Computer Vision (CV) — the latter also known as Video Analytics (VA). They are in turn enabled by Machine Learning (ML). Using linear regression, Machine Learning is a subset of Artificial Intelligence…