Beyond ChatGPT: The AI Tools Shaping 2026 and the Data Science Skills Professionals Need

As artificial intelligence continues to advance, ChatGPT remains a popular tool — but it’s no longer the only one professionals should understand. Enterprise AI assistants, open-source models, and data-centric platforms are reshaping how organizations analyze information and make decisions. Research by McKinsey and partners found that more than half of enterprises are using open-source AI technologies across their AI stacks, and organizations prioritizing AI are far more likely to deploy these tools. Many respondents also report that experience with open-source AI is highly valued and plays a key role in their technology ecosystems. Knowing how to use these tools is helpful; knowing how they work is essential. That’s where applied data science comes in.

AI Tools Are Evolving, but Foundational Skills Still Matter

New AI tools are increasingly embedded in business systems, operations, and analytics platforms. From predictive modeling to automation and forecasting, these technologies rely on clean data, sound statistical methods, and responsible model design.

While interfaces change, the underlying requirements remain the same:

• Strong data analysis and modeling skills
• The ability to evaluate AI outputs and assumptions
• Experience translating data into actionable insights
• Understanding ethical and responsible AI use

These capabilities are at the core of modern data science programs and are what employers value most as AI tools continue to evolve.

Why Applied Data Science Is an Important Strategic Skill Set

AI doesn’t replace human judgment; it depends on it. Professionals with applied data science expertise can assess which AI tools are appropriate, ensure data quality, and turn results into meaningful decisions.

This is why interest in online master’s programs in data analytics and data science continues to grow. These programs focus on real-world problem solving, not just tool familiarity, preparing students with skills that can be applied as new AI technologies emerge.

A strong online degree program emphasizes hands-on learning, practical modeling, and real datasets — skills that transfer across industries and AI platforms.

Turn AI Curiosity into Practical, Applied Expertise

For professionals intrigued by AI tools beyond ChatGPT, the next step is learning how to build, evaluate, and apply them responsibly. The master’s in applied data science at Eastern Connecticut State University is designed to support this type of applied learning — connecting AI concepts to practical analytics, real-world applications, and in-demand skills.

Rather than chasing the next AI tool, students gain the foundation needed to understand and lead with data, today and in the future.

Ready to move beyond using AI to truly understand it?

Priority summer application deadline ends April 14. Learn more and apply today.

(Source: https://www.mckinsey.com/capabilities/quantumblack/our-insights/open-source-technology-in-the-age-of-ai , visited January 27, 2025)

Career outcomes vary based on individual background, experience, and market conditions. Completion of a degree does not guarantee employment or career advancement.