Tag Archives: Alteryx

Building a Foundation for an AI Future

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It might seem like agencies are hesitant to adopt artificial intelligence. But really, it is quite the opposite. As Lori Wade, the Intelligence Community’s chief data officer, put it: “It is no longer just about the volume of data, it is about who can collect, access, exploit and gain actionable insight the fastest.” The realization is clear: Humans alone cannot keep pace. They need AI so they can make decisions based on the most relevant and most current information — and make those decisions in a timely manner. It is really as simple as that. Download the guide, “Building the Foundation for Your AI Future,” to pick up pointers on data management and AI, plus take a glimpse at the latest technology developments, tips for best practices and an explanation of the early value that AI is delivering to agencies across government. 

 

How to Revolutionize Government Translation with Generative AI

“In situations where accurate and timely translations are crucial, the shortage of qualified and vetted linguists poses significant challenges. Equally, non-linguist analysts are not equipped with secure, at-desk tools to translate foreign language material at the speed of relevance. For example, during the ongoing war in Ukraine, there has been a scarcity of linguists available to provide real-time updates on the ground. This shortage not only has affected the ability to gather vital intelligence but also hindered the timely dissemination of information to national security and defense agencies in the U.S. and abroad.”

Read more insights from Jesse Rosenbaum, Vice President of Business Development and National Security at Lilt. 

 

How Graph Databases Drive a Paradigm Shift in Data Platform Technology  

Carahsoft IIG FNN Future AI Blog Embedded Image 2023“Federal agencies are awash in data. With recent modernization efforts, including the wide-scale adoption of cloud platforms and applications, it is easier than ever for agencies to receive streaming data on everything from logistics to finances to cybersecurity. But that volume of data requires new solutions to process and analyze it. Older methods like SQL and NoSQL simply are not up to the task of analyzing all of the connections between the government’s many massive databases. That is where the new graph paradigm of data platform technology comes in.”

Read more insights from Michael Moore, Principal for Partner Solutions and Technology at Neo4j. 

 

How Agencies Can Upskill in AI to Achieve a Data Mesh Model  

“Data mesh behavior actually goes a step further. AI has become so easy to use, business owners can actually join in the development alongside the data scientists. Therein lies the challenge: Upskilling subject matter experts across an entire organization is a big lift. The way it works best is to start with a center of excellence, a small group of people who begin working with business owners across the enterprise, office by office. They can then prove the value and evangelize it, and then the agency can move to a hub-and-spoke model, where the data scientists are co-developing alongside business owners. As successes pile up, the data scientists can take a step back and allow frontline workers to do the development, governing the new data products on their own.”

Read more insights from Doug Bryan, Field Chief Data Officer at Dataiku. 

 

How Agencies Can Build a Data Foundation for Generative AI  

“Generative artificial intelligence tools are making waves in the technology world, most famously ChatGPT. Although the code of these tools is significant, their real power stems from the data they are trained on. Gathering and correctly formatting the data, then transforming it to yield accurate predictions, often represents the most challenging aspect of developing these tools. Federal agencies that want to start leveraging generative AI already have massive amounts of data on which to train the technology. But to successfully implement these tools, they need to ensure the quality of their data before trusting any decisions they might make.”

Read more insights from Nasheb Ismaily, Principal Solutions Engineer at Cloudera. 

 

How to Democratize Data as a Catalyst for Effective Decision-Making  

“One of the key best practices in the Office of Management and Budget’s Federal Data Strategy calls for using data to guide decision-making. But that is easier said than done when the ability to analyze the data, much less access it, is limited to an agency’s often overworked and understaffed data science specialists. But now that every line of federal business has their own data silo and a mandate to use that data to guide decisions, agencies need a way to democratize access to that data and empower every federal employee to become an analyst.”

Read more insights from Kevin Woo, Director of Federal Sales at Alteryx. 

 

Download the full Expert Edition for more insights from these artificial intelligence leaders, additional government interviews, historical perspectives and industry research. 

Innovation in Government: How to Change Things Up (and Make it Stick)

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In government, we could say that innovation is invention that solves a problem or meets a need — in the community or within an organization undertaking the work. Big changes make government agencies more effective, prepared and useful, and they touch all aspects of agency operations — from IT to employee morale to digital services and more. In recent years, federal agencies such as the Census Bureau, General Services Administration, Department of Homeland Security, Department of Housing and Urban Development, and Office of Personnel Management have launched innovations labs, innovation libraries, and other innovation-focused resources and programs. Cities and states have as well, such as through Philadelphia’s Technology and Innovation group within the city’s Office of Innovation and Technology (OIT). Being innovative is not easy, of course: It requires a little bravery and lots of planning. But local and federal agencies are creating the space and resources to launch innovations that will, in the future, become standard operations. In this guide, we share case studies and best practices regarding some of government’s most pressing issues — workforce, customer experience and data use, to name a few — and we hear from government experts who know a thing or two about helping innovative initiatives succeed. 

 

Carahsoft IIG GovLoop Innovation Adaptive Security Blog Embedded Image 2023Analytics Innovations Draw a Complete Data Picture  

“Spreadsheets are structured things: They have clearly defined lines, cleanly labelled columns, and rules that govern what goes where. Government analytic programs have become skilled at working within those parameters, even if it means spending hours manually manipulating data to fit. Spreadsheets are 30-year-old desktop technology. But other data exists, doesn’t it? The world is full of PDF documents, audio and video files, social media posts and other ‘messy’ data sources — the unstructured data that most agencies overlook. And most agency analytics programs are fragmented and overly manual. Recent innovations seek to change this.”

Read more insights from Alteryx’s Solutions Marketing Director for the Public Sector, Andy MacIsaac. 

 

Driving Innovation to the Edge

“Across government, innovation is happening at the edge. By leveraging cloud, artificial intelligence (AI), machine learning (ML) and related technologies, agencies can deliver services more quickly and effectively at the far reaches of operations, whether that’s in the battlefield or on the International Space Station (ISS). At the Red Hat Government Symposium held in late 2022, government and industry leaders discussed how agencies were leveraging these technologies to accelerate mission delivery. Their discussions and examples help illuminate how agencies are adapting to make the most of modern technological opportunities.”

Read more insights from Red Hat’s Government Symposium. 

 

Build an Innovative Ecosystem Through Cloud Architecture  

“In data transformation and innovation, it helps to view things through a different lens. Within the data ecosystem are three core pillars for transformation: people, processes and technology. Simple, singular data platforms should work with an architecture that breaks down information silos rather than creates them. That facility comes through in qualities such as data mesh or a decentralized data architecture that’s organized by business domain and operates through self-service. The architectural design also must help strengthen system security. That’s enormously important for federal data.”

Read more insights from Snowflake’s Chief Technology Officer for the Global Public Sector, Winston Chang. 

 

Overcoming Challenges With Observability  

“As agencies take steps to innovate — such as expanding reliance on the cloud and adding new apps, integrations, and automations — their IT ecosystems become more complex. There are more places where things can go wrong and more pressure to fix them quickly. The task of monitoring these complex systems gets more complicated, too. ‘The question is, how do I know there’s an issue?’ said Brian Mikkelsen of Datadog. ‘Is it when the tickets start flowing, when complaints increase, when your leadership team asks why something isn’t working?’ None of those options are ideal. Datadog’s application performance management platform provides a real-time window into the digital environment, identifying performance and security issues quickly. Its ‘full stack’ hybrid infrastructure capability means everything from the back end to the front end is monitored and reported via infrastructure metrics, application performance traces, and correlated logs.”

Read more insights from Datadog’s Vice President and General Manager, Brian Mikkelsen. 

 

Download the full GovLoop Guide for more insights from these digital transformation leaders and additional government interviews, historical perspectives and industry research.