Frequently Asked Questions

Features & Capabilities

What features and capabilities does Data Society offer?

Data Society provides a comprehensive suite of products and services designed to empower organizations with advanced AI and data capabilities. Key features include hands-on, instructor-led upskilling programs, custom AI solutions tailored to industry challenges, workforce development tools for equity and inclusivity, predictive analytics, generative AI, natural language processing, seamless integrations with Power BI, Tableau, ChatGPT, and Copilot, and technology skills assessments. These offerings are designed to deliver measurable outcomes, improve operational efficiency, and foster innovation across industries. Learn more.

Does Data Society support integrations with popular data and AI tools?

Yes, Data Society offers seamless integrations with leading platforms such as Power BI (for dynamic dashboards), Tableau (for interactive analytics), ChatGPT (for generative AI automation), and Copilot (for process optimization). These integrations help organizations streamline data access, improve collaboration, and reduce manual work. Source.

Use Cases & Benefits

Who can benefit from Data Society's products and services?

Data Society serves a diverse range of roles and industries, including government agencies, healthcare organizations, financial services, aerospace and defense, consulting, media, telecommunications, retail, and energy sectors. Roles include generators (professionals using data/AI daily), integrators (analysts and power users), creators (developers and data scientists), and leaders (executives and strategists). Solutions are tailored to each sector's unique challenges. Source.

What business impact can customers expect from using Data Society?

Customers can expect measurable ROI, such as 0,000 in annual cost savings (see HHS CoLab case study), improved operational efficiency, enhanced decision-making, and long-term workforce development. Case studies highlight achievements like improved healthcare access for 125 million people through Optum Health. Source.

What industries are represented in Data Society's case studies?

Data Society's case studies span government, energy & utilities, media, healthcare, education, retail, financial services, aerospace & defense, professional services & consulting, and telecommunications. For details, visit the Case Studies Page.

Pain Points & Solutions

What core problems does Data Society solve?

Data Society addresses key challenges such as misalignment between strategy and capability, siloed departments, insufficient data and AI literacy, overreliance on technology without human enablement, weak governance, change fatigue, and lack of measurable outcomes. Solutions include tailored training, advisory services, and solution design focused on people, process, and technology. Source.

How does Data Society solve each of these pain points?

Data Society bridges strategy-capability gaps with tailored training and advisory services, integrates data across systems using Power BI and Tableau, boosts workforce literacy with hands-on programs, enables human adoption through mentorship, strengthens governance with frameworks and training, manages change fatigue with communication strategies, and ensures measurable ROI with clear KPIs and continuous tracking. Source.

What are the KPIs and metrics associated with the pain points Data Society solves?

KPIs include: % of strategic initiatives supported by training, workforce competency rates, training completion, post-training performance improvement, data integration rates, collaboration index, literacy assessment scores, tool adoption rates, governance policy adoption, compliance audit scores, employee sentiment surveys, change adoption rates, and ROI per initiative. Source.

What are some case studies or use cases relevant to the pain points Data Society solves?

Relevant case studies include: Improving Access to Healthcare for 125 Million People (tailored solutions), Upskilling the Data Analytics Workforce (workforce skill gaps), Guiding a City’s Workforce Towards Data Maturity (operational efficiency), Putting Broadband Coverage Gaps on the Map (equity and inclusivity), Making Data Work for the Department of Health & Human Services (decision-making), and A Cybersecurity Semantic Search Engine (integration challenges). Source.

Product Information & Implementation

What is the primary purpose of Data Society's product?

The primary purpose is to make data science accessible, impactful, and exciting for professionals across industries. Data Society empowers organizations with advanced AI and data capabilities to foster innovation, improve decision-making, and deliver measurable outcomes. Source.

How long does it take to implement Data Society's solutions, and how easy is it to get started?

Data Society's solutions are designed for quick and efficient implementation. Organizations can start with a focused project by equipping a small, cross-functional team with tools and support, ensuring fast adoption and learning. The onboarding process is simple and streamlined, with live, instructor-led training and tailored learning paths. Training can be delivered online or in-person, with cohorts capped at 30 participants for active engagement. Source.

What resources do customers need to get started with Data Society?

Customers need to connect with Data Society to discuss goals and priorities. The team collaborates to design a customized path tailored to the organization's industry, workflows, and challenges. Minimal internal resources are required due to automated training and assessment systems, and ongoing support is provided through mentorship, workshops, and office hours. Source.

Support & Implementation

What training and technical support is available to help customers get started and adopt Data Society's products?

Data Society provides live, instructor-led training, tailored learning paths, ongoing mentorship, interactive workshops, dedicated office hours, and access to a Learning Hub and Virtual Teaching Assistant for real-time feedback and troubleshooting. Training is available online or in-person, with cohorts capped at 30 participants for personalized learning. Source.

What customer service or support is available after purchasing Data Society's products?

Customers receive extensive support, including access to the Learning Hub and Virtual Teaching Assistant for real-time feedback, ongoing mentorship, interactive workshops, dedicated office hours, and instructor-led training. Support is available online or in-person, ensuring personalized attention for troubleshooting and upgrades. Source.

How does Data Society handle maintenance, upgrades, and troubleshooting?

Maintenance and upgrades are simplified through automated training and assessment systems, regular updates, and tracking. The Learning Hub and Virtual Teaching Assistant provide real-time feedback and accountability, while ongoing support and coaching help users resolve issues and optimize systems. Source.

Security & Compliance

What security and compliance certifications does Data Society have?

Data Society is ISO 9001:2015 certified, demonstrating its commitment to quality management and continuous improvement. This certification ensures solutions meet stringent standards for reliability and quality. Source.

How does Data Society ensure product security and compliance?

Data Society's ISO 9001:2015 certification underscores its commitment to quality management, reliability, and continuous improvement. This provides assurance to customers about the security and compliance of its offerings. Source.

Competition & Differentiation

How does Data Society differ from similar products in the market?

Data Society stands out by offering tailored solutions for specific industry challenges, live instructor-led upskilling programs, equitable workforce development tools, seamless integrations, and a proven track record with over 50,000 learners served. Advantages are provided for executives (faster insights), managers (automation), developers (AI integration), and HR teams (inclusive processes). Source.

Why should a customer choose Data Society?

Customers should choose Data Society for its tailored solutions, project-based upskilling programs, equitable workforce development, proven track record with Fortune 500 and government clients, and industry-specific benefits. Every role gains time for higher-value work, making Data Society versatile for diverse organizational needs. Source.

Explore how AI is reshaping education, offering personalized learning and efficiency gains, while educators and parents navigate its challenges and opportunities in the classroom.

Back to School in the Age of AI

August in the US is “National Back to School Month.” For generations of teachers, students, and parents, the summer’s end has been a time to gear up for a new academic year. And while this annual rite has spanned centuries, the learning technologies that greet returning students have continuously evolved. Today’s educators need to contend with the power of AI-driven tools as they introduce the technology’s challenges and opportunities into the classroom.

Supporting Students and Teachers with AI

Just as we have seen AI take hold across the wider world, we can expect to see its adoption in the classroom accelerate in the years to come. A survey of educators from December reported that the majority of respondents said that their districts/schools would increase their use of AI-driven instructional tools by at least a little in the following year. 

AI in Education

AI applications have already made their way into classrooms, promising to enhance educational experiences and learning outcomes through personalization, automation, and augmentation capabilities. In an educational context, these capabilities translate into learning and instructional aids for individualized tutoring that can increase student engagement and offer support that meet each learner’s unique needs. The benefits of this tailored learning support is not lost on parents, 55% of whom see AI tutoring as the most positive application of AI in education. This personalization can also be especially helpful in making learning materials more accessible, and 75% of educators believe that AI can help bridge the gap for students with special needs.

In addition, AI-driven tools can streamline many of the routine tasks, such as grading, that consume much of the time teachers could otherwise devote to working directly with students. Statistics indicate that AI can reduce the time teachers spend grading by as much as 30%. AI also offers opportunities for educators to gather insights into trends in learning that can help them identify needs and adapt lesson plans accordingly.

AI in Schools: Hopes and Concerns

Recent surveys have found that the stakeholders most directly invested in trends surrounding education—teachers, students, and parents—express both positive impressions of AI’s potential as a learning aid and trepidation about its potentially harmful impact. For example, a recent survey found that 97% of parents expressed at least one concern about the introduction of AI into the classroom, but only 12% believed AI should not be included in the school curriculum. Among parental concerns are the risk of misinformation, bias, and children becoming overly reliant on technology.

Similarly, 55% of teachers said they thought AI has had a positive impact on learning, and, according to a survey from one year ago, almost four in ten teachers expected to use AI during the 23-24 school year. Still, less than half felt prepared to use these technologies.

For their part, schoolchildren appear curious about AI and eager for guidance in this area. A poll of children ages 9-17 conducted late last year found that 72% of them would like adults to help them learn how to use AI tools. 

Among the most common concerns about the use of AI in schools is the challenge of protecting children’s privacy. AI technologies can help educators capture valuable insights into patterns and trends that impact learning outcomes. They can also enhance security on school grounds. However, with all of these applications, safeguarding children’s data and fostering a human-friendly environment in schools must remain primary considerations.

Fostering Positive Learning Outcomes with AI in the Classroom

To promote the use of AI-driven tools that effectively support students and teachers, organizations are developing resources, guidelines, and recommendations for safeguarding against harmful outcomes associated with AI in schools. Such resources include guidance for designing assignments that compel students to rely upon their understanding of a subject, rather than on AI. In addition, a range of AI-powered plagiarism detection tools might ease the minds of teachers and parents who are concerned about AI-assisted academic infractions. Further, the US Department of Education recently published a guide for the design of equitable, safe, secure, and transparent AI tools for education.

There is little doubt that learning how to use AI is becoming a critical skill for today’s young learners. Teachers who put AI to good use in the classroom can support this learning by modeling its constructive and responsible use. And, perhaps most importantly, working with AI tools in school can help students learn how to leverage AI safely and effectively in their future roles. 

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