Frequently Asked Questions

General Information & Company Overview

What is Data Society and what does it do?

Data Society is a leading provider of AI and data science solutions, offering upskilling programs, custom AI solutions, workforce development tools, and industry-specific training to empower organizations and professionals with advanced data and AI capabilities. Learn more.

What is the mission and vision of Data Society?

Data Society's mission is to make data science accessible, impactful, and exciting for professionals across industries. The company aims to empower organizations with advanced AI and data capabilities, delivering measurable outcomes and fostering innovation. Source.

What types of organizations does Data Society serve?

Data Society serves a wide range of organizations, including Fortune 500 companies, government agencies, healthcare providers, retail, energy, media, financial services, education, aerospace & defense, professional services, and telecommunications. Source.

How many learners has Data Society served?

Data Society has served over 50,000 learners, including professionals from NASA, Deloitte, CDC, and the U.S. Department of State. Source.

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

Industries include government, energy & utilities, media, healthcare, education, retail, aerospace & defense, financial services, professional services & consulting, and telecommunications. Source.

Features & Capabilities

What are the key features of Data Society's products and services?

Key features include hands-on, instructor-led upskilling programs, custom AI solutions, workforce development dashboards, industry-specific training, predictive analytics, generative AI, cloud-native courses, technology skills assessments, and seamless integration with tools like Power BI, Tableau, and Copilot. Source.

Does Data Society offer industry-specific training?

Yes, Data Society provides tailored programs for healthcare, retail, energy, government, and more, addressing unique challenges such as pricing optimization, drug development, and grid performance optimization. Source.

What technology integrations does Data Society support?

Data Society integrates with Google Cloud, Nvidia, Seeq, Anaconda, Skillsoft, NEO4J, and Open-Eye Advisors, enabling advanced analytics, data science workflows, and graph database solutions. Source.

How does Data Society ensure seamless integration with existing systems?

Data Society's solutions are designed to integrate smoothly into existing systems and processes without heavy coding requirements, supporting end-to-end workflows and minimizing disruption. Source.

What tools and platforms are commonly used in Data Society's training?

Common tools include Power BI, Tableau, ChatGPT, Copilot, Python, R, and LLM services, supporting a range of analytics, visualization, and AI development needs. Source.

Pain Points & Solutions

What common challenges do Data Society's customers face?

Customers often face misalignment between strategy and capability, siloed departments, insufficient data and AI literacy, overreliance on technology, weak governance, change fatigue, and lack of measurable ROI. Data Society addresses these through tailored training, advisory services, and solution design. Source.

How does Data Society solve the problem of siloed departments?

Data Society provides training in tools like Power BI, Tableau, and Copilot to enable seamless data integration and collaboration across departments, breaking down silos and making data accessible and actionable. Source.

How does Data Society address insufficient data and AI literacy?

Data Society offers foundational training in data tools and AI features, enhancing confidence and creating a shared language for employees at all levels, ensuring effective utilization of tools and data-driven decision-making. Source.

What are the root causes of the pain points Data Society solves?

Root causes include lack of alignment between strategy and capability, fragmented data ownership, insufficient workforce literacy, overreliance on technology, weak governance, cultural resistance, and lack of measurable outcomes. Data Society addresses these through tailored training, advisory, and solution design. Source.

How does Data Society differentiate itself in solving these pain points?

Data Society offers tailored upskilling programs, cross-departmental training, foundational literacy initiatives, advanced developer training, governance frameworks, change management coaching, and ROI tracking tools, setting it apart from generic providers. Source.

Use Cases & Business Impact

What measurable business impact can customers expect from Data Society?

Customers have achieved substantial financial benefits, such as 0,000 in annual cost savings (HHS CoLab), improved healthcare access for 125 million people (Optum Health), and a 28% improvement in technical knowledge (Discover Financial Services). Source.

Can you share examples of customer success stories?

Yes. For example, Data Society helped Optum Health improve healthcare access for 125 million people and enabled HHS CoLab to save 0,000 annually. Discover Financial Services saw a 28% improvement in technical knowledge. Source.

What are some relevant use cases for Data Society's solutions?

Use cases include predictive analytics for drug development, pricing optimization in retail, grid performance optimization in energy, workforce upskilling, and mapping broadband coverage gaps for inclusivity. Source.

Who can benefit from Data Society's offerings?

Executives, managers, developers, HR teams, and professionals at all levels across industries such as government, healthcare, retail, energy, media, financial services, education, aerospace & defense, and consulting can benefit from Data Society's tailored solutions. Source.

How does Data Society help organizations prepare for evolving job roles and skills?

Data Society provides upskilling programs and training in technical areas like machine learning, cloud computing, and big data, as well as human skills such as analytical and creative thinking, helping organizations adapt to workforce changes driven by AI. Source.

Implementation & Ease of Use

How easy is it to implement Data Society's solutions?

Data Society's solutions are designed for quick and efficient implementation. Organizations can start with a focused project, and onboarding is streamlined with live, instructor-led training and automated systems requiring minimal maintenance. Source.

What is the typical implementation timeline?

Organizations can begin quickly by connecting with Data Society to discuss goals and priorities. Training is delivered live online or in-person, with cohorts capped at 30 participants for active engagement and personalized learning. Source.

What feedback have customers shared about ease of use?

Emily R., a subscriber, stated: "Data Society brought clarity to complex data processes, helping us move faster with confidence." This highlights the user-friendly nature of Data Society's solutions. Source.

How does Data Society support ongoing learning and skill development?

Data Society offers structured, instructor-led training programs, automated assessments, and regular updates to ensure continuous skill development and workforce readiness. Source.

Security, Compliance & Governance

What security and compliance certifications does Data Society hold?

Data Society holds the ISO 9001:2015 certification, demonstrating its commitment to quality management and continuous improvement. Source.

How does Data Society address regulatory compliance?

Data Society ensures its solutions align with regulations such as HIPAA and FedRAMP, especially for industries handling sensitive data like healthcare and financial services. Source.

What are Data Society's cloud security practices?

Data Society evaluates cloud providers' security measures, adopts hybrid deployment models, and implements governance practices to manage data security effectively. Source.

How does Data Society ensure ethical AI use and data privacy?

Data Society focuses on transparency, user empowerment, and ethical AI practices to simplify data privacy and build trust with customers. Source.

Does Data Society have SOC2 or other specific security certifications?

Currently, Data Society holds ISO 9001:2015 certification. There is no mention of SOC2 or other specific security certifications in the available information. Source.

Competition & Differentiation

How does Data Society compare to other AI and data training providers?

Data Society differentiates itself by offering tailored solutions for specific industry challenges, live instructor-led training, equitable workforce development, seamless integrations, and a proven track record with over 50,000 learners and major organizations. Source.

What advantages does Data Society offer for different user segments?

Executives benefit from faster insights, managers from workflow automation, developers from AI integration for prototyping, and HR teams from simplified review and survey processes. Source.

How does Data Society tailor its solutions for different industries?

Data Society customizes its offerings to address industry-specific challenges, such as predictive analytics for healthcare, pricing optimization for retail, and grid performance optimization for energy. Source.

What makes Data Society's approach to workforce development unique?

Data Society develops equitable workforce development tools, such as dynamic visual dashboards, to connect candidates with overlooked opportunities and foster inclusivity, setting it apart from generic providers. Source.

KPIs & Metrics

What KPIs and metrics are associated with Data Society's solutions?

KPIs include training completion rates, post-training performance improvement, data integration percentage, collaboration index, literacy assessment scores, tool adoption rates, compliance audit scores, change adoption rates, and ROI per initiative. Source.

How does Data Society measure the impact of its training programs?

Impact is measured through metrics such as percentage of workforce with defined data or AI competencies, training completion and certification rates, post-training performance improvement, and alignment score between business objectives and data/AI strategy. Source.

Major shifts in tech, policy, and AI in 2023 set the stage for even greater transformations in 2024—demanding agile, forward-thinking responses from organizations.

Seismic Shift in 2023, Great Waves in 2024

If 2023 was the year when visions of an AI-driven future went mainstream, 2024 will be a year of progress toward harnessing AI’s power for the benefit of all. The following trends represent neither beginnings nor ends in store for the new year. Rather, they are areas where we’ll likely see sharper focus and bigger strides in support of this technology’s rapid acceleration.

We’ll see progress with computational processing power.

The rampant spread of AI for personal and industrial use is currently stunted by the limitations of existing technologies that can meet AI’s tremendous processing demands. At the same time, conditions are ripe for a run on hardware that powers AI systems as our appetite for AI applications and in-house AI systems grows. Also, beyond increased demand, we have an ecological responsibility to meet the proliferation of AI with more sustainable, more efficient ways to power these systems.

AI Trends 2024

2024 is poised to be a year of progress toward satisfying these mounting needs. In the coming months, we’ll likely see the debut of new hardware offerings and advances in emerging technologies that will either deliver or optimize the considerable power AI systems—especially large language models—require. We also anticipate that 2024 will be a year for great strides in quantum computing. According to some predictions, we may see the benefits of quantum computing in areas such as drug discovery and in the optimization of traffic flow in the year ahead.

Despite the promise of progress on this front, processing power will likely remain a vexing hurdle in the race toward widespread AI adoption. However, as we grapple with these technical challenges, we have the opportunity to prepare ourselves for the impact AI will have on human society, as reflected in two other trends we’ll be watching in 2024.

We’ll see more legal, ethical, and regulatory guidelines for the use of AI.

With the spectacular debut of ChatGPT, public interest in the unintended social consequences of AI heightened in 2023. This is a welcome development. The time is now to identify AI’s potential pitfalls and create the legal, ethical, and regulatory frameworks to avoid them. 

Just in the latter part of 2023, we saw sweeping governmental responses to AI-related challenges through measures such as the provisional agreement reached for the EU Artificial Intelligence Act. In the US, President Biden issued the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. Efforts to get ahead of challenges related to the proliferation of AI systems have been ramping up, and momentum in this area is sure to pick up in the coming year.

In the US, federal agencies will establish AI-related regulations to address issues such as conflicts of interest stemming from the use of AI by broker-dealers and investment advisors and intellectual property rights for AI-generated inventions and new works. Some states, as well, have been stepping up to the legislative plate to tackle legal concerns arising from the use of AI with measures tackling automated decision-making and discussion of anti-deepfake legislation ahead of the 2024 election.

Other AI-related issues begging for legal and ethical attention include privacy, hiring discrimination, bias, and antitrust regulations. In this climate, one thing is certain: companies using AI will need to create internal processes for monitoring evolving regulations, disclosing their use of AI, securing consent for the collection and use of data, and ensuring transparency and explainability of their AI models.

Staying on top of these evolving guidelines will also make way for the growth of some existing roles, and the creation of new  roles, in the workforce. This brings us to the last trend on our list of the top trends for 2024.

Job roles will evolve and new skills will emerge.

One of the most hotly debated and eagerly anticipated effects of AI is the impact it will have on our working lives. We expect much of the speculation will give way to action in the coming year as organizations and employees alike prepare for the workplace of the future.

Change certainly is on the horizon for the workforce. Research suggests that the equivalent of three million jobs across the globe could be automated thanks to AI, and the World Economic Forum’s (WEF) Future of Jobs 2023 report predicts that six in 10 workers across the globe will need training by 2027. 

Take heart, however, because one of the best ways to avoid being replaced by AI is to become empowered by it. A recent survey found that, while one in three companies expected to replace employees with AI in 2024, 96% of companies hiring in 2024 said that candidates who have AI skills will have an edge, and 83% of companies said that having AI skills would help existing employees keep their jobs.

Widespread adoption of AI will require skills that support both the implementation of emerging technologies and the management of their broader impact. For example, as regulations governing the use of AI develop, organizations will need more workers who can monitor AI models for accuracy of outcomes, account for bias, or navigate relevant legislation. Some roles that we think will become more critical in the days to come include AI ethicist, prompt engineer, cybersecurity expert, and natural language processing specialist.

We will likely begin to see a rise in demand for workers with capabilities in technical areas, such as machine-learning engineering, cloud computing, and big data, accompanied by an increased need for very human skills, such as empathy and critical, creative, and analytical thinking. According to the WEF report, survey respondents ranked analytical thinking and creative thinking in first and second place respectively as the top skills of 2023 and the top skills on the rise. Ultimately, we feel confident in predicting that workers will thrive as long as they have an aptitude and affinity for ongoing learning.

Setting the Course for Our Future With AI

The AI-driven future we envisioned is upon us. 2023 was a landmark year for AI’s grand entry into the public consciousness, which prompted us to take a closer look at what we want this technology to deliver—and what we don’t want it to deliver. This much-needed reckoning is coming not a day too soon, and we anticipate that 2024 will be a year of tremendous progress toward creating a brighter human future with AI.

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