UTRGV Master of Science in Business Analytics & AI

09/16/2026

🤖 AI is changing business, and the conversation is changing just as quickly.

From artificial intelligence and machine learning to AI agents, automation, responsible AI, and the future of work, organizations are navigating a rapidly evolving landscape.

Harvard Business Review’s AI & Machine Learning topic page brings together continually updated articles and insights to help business leaders and professionals understand these changes and their potential impact.

For anyone interested in business analytics and AI, it’s a valuable resource for staying informed about the ideas and trends shaping the future of work and business.

💬 Which AI topic are you most interested in learning more about right now?

📖 Explore HBR’s latest AI insights: https://hbr.org/topic/subject/ai-and-machine-learning

Find new ideas and classic advice on strategy, innovation and leadership, for global leaders from the world's best business and management experts.

09/09/2026

🤖 AI is already changing how we work, but how are people actually using it?

From improving productivity to learning, creating, and solving everyday problems, AI is becoming increasingly integrated into our lives and workplaces.

Harvard Business Publishing’s: How People Are Really Using AI in 2026? takes a closer look at how people are engaging with AI today and what that means for organizations preparing for the future.

For business leaders, understanding how employees actually use AI can be just as important as adopting the technology itself. It can influence how organizations approach training, workflows, productivity, and responsible AI adoption.

💬 How are you seeing AI make the biggest difference in your work or studies?

📖 Read more: https://hbsp.harvard.edu/product/H0976M-PDF-ENG

09/02/2026

🚀 Connect. Innovate. Grow.

We are excited to participate in the IT/STEM Job Fair, hosted by Workforce Solutions in partnership with the Edinburg Economic Development Corporation, UTRGV Career Center, and UTRGV Professional Education & Workforce Development.

📅 Thursday, September 17, 2026🕙 10:00 AM – 2:00 PM📍 Edinburg Conference Center at Renaissance

118 Paseo Del Prado, Edinburg, TX 78539

The UTRGV Master of Science in Business Analytics and Artificial Intelligence (MSBA-AI) program will be there to connect with students, professionals, employers, and members of our local technology community.

Interested in advancing your career in business analytics, artificial intelligence, data science, healthcare analytics, or marketing analytics? Stop by our booth to learn more about our graduate program and how MSBA-AI can help you develop the skills needed for today's data-driven workforce.

We look forward to meeting you! 🤝

08/26/2026

🧠 Can AI make better decisions than humans? Perhaps, but should it make them alone?

As artificial intelligence becomes increasingly powerful, organizations are using data and algorithms to support more and more business decisions.

But some decisions require more than data.

Harvard Business Impact highlights why human judgment remains essential in the age of AI. Skills such as imagination, intuition, moral judgment, accountability, and the ability to understand context can complement what AI does best.

The goal may not be to replace human decision-makers with AI, but to create stronger human + AI decision-making where technology provides powerful insights while people bring judgment, context, and responsibility.

💬 What uniquely human skill do you think will remain most important as AI continues to advance?

📖 Read more: https://www.harvardbusiness.org/.../january-2026-the.../

08/20/2026

🚀 How can organizations turn generative AI experiments into enterprise-wide value?

Many organizations are experimenting with generative AI, but scaling those experiments across an entire business requires much more than adopting new technology.

MIT Sloan Management Review explores the organizational structures needed to scale generative AI effectively, including the concept of an “AI spine” which is a foundation that can help connect AI capabilities with business strategy, people, processes, and technology.

The bigger lesson is that AI transformation is an organizational challenge as much as it is a technological one.

💬 What do you think is the biggest challenge businesses face when trying to scale generative AI?

📖 Read more: https://www.magzter.com/stories/business/MIT-Sloan-Management-Review/CREATE-GENERATIVE-AI-VALUE-AT-SCALE?

Read this exciting story from MIT Sloan Management Review Summer 2026 issue. Companies expanding GenAI across the enterprise use new structures like an “AI spine” to coordinate efforts.

08/12/2026

📊 AI adoption is one thing. Turning AI into business value is another.

Many companies are already putting AI into production, but simply having AI tools in place doesn’t guarantee meaningful results.

A recent HBR Analytic Services survey highlights an important challenge: organizations may struggle to realize business value when AI isn’t fully integrated into their workflows.

The key may be moving beyond simply adding AI to existing processes and thinking about how work itself can be redesigned around new capabilities.

For future business analytics professionals, this highlights an important skill: understanding not only what AI can do, but also how it can be integrated into an organization to solve real business problems.

💬 What do you think matters most for successful AI integration: technology, people, or processes?

📖 Read more: https://www.magzter.com/stories/business/MIT-Sloan-Management-Review/CREATE-GENERATIVE-AI-VALUE-AT-SCALE?

Read this exciting story from MIT Sloan Management Review Summer 2026 issue. Companies expanding GenAI across the enterprise use new structures like an “AI spine” to coordinate efforts.

08/05/2026

📈 AI can only be as reliable as the data behind it.

Organizations across every industry are embracing AI to improve decision-making, streamline operations, and uncover new opportunities. But none of these benefits are possible without high-quality, credible data.

In this Deloitte article, you’ll discover three practical ways organizations can strengthen data credibility and improve AI outcomes through better governance, transparency, and data management.

As AI becomes more integrated into business strategy, professionals with strong data governance and analytics skills will play an increasingly important role in helping organizations build trust and make informed decisions.

💬 What do you think organizations should prioritize first when building trustworthy AI systems?

📖 Read more here: https://www.theaustralian.com.au/business/tech-journal/three-ways-to-protect-data-credibility-in-the-ai-era/news-story

As decision-making becomes increasingly driven by data and AI, organisations may be accelerating their analytical capabilities faster than they are strengthening the credibility of their data.

07/29/2026

🚀 AI is more than a productivity tool.

The biggest opportunities come when organizations rethink their business processes not just how individuals work.

A recent TechRadar Pro article explores why successful AI adoption requires transforming operating models, workflows, and decision-making.

💬 Do you think businesses are fully embracing AI transformation or just using AI to work faster?

📖 Read more: https://www.techradar.com/pro/how-ai-is-exposing-enterprise-operating-models?

Advanced organizations deeply embed AI into core business infrastructure

07/22/2026

🤖 AI is changing business but are organizations ready for the change?

Adopting AI isn’t just about new technology. It also requires adaptable leadership, a culture of learning, and thoughtful decision-making.

A recent Harvard Business School article discusses why “change fitness” is becoming one of the most important skills for organizations embracing AI.

💬 What do you think is the biggest challenge organizations face when implementing AI?

📖 Read more: https://www.library.hbs.edu/working-knowledge/ai-trends-for-2026-building-change-fitness-and-balancing-trade-offs?

Harvard Business School faculty share key considerations for leaders planning to scale artificial intelligence.

07/15/2026

📊 How is AI transforming the future of business?

Artificial intelligence and data science are moving from experimentation to real-world business impact.

A recent MIT Sloan article highlights key AI trends shaping 2026, including agentic AI, responsible AI governance, and the importance of strong data foundations.

For organizations, the challenge is no longer just adopting AI . It is learning how to use it strategically to make better decisions, innovate, and create value.

💬 What AI trend do you think will have the biggest impact on businesses in the next five years?

Read more: https://www.mitsloanme.com/article/five-trends-in-ai-and-data-science-for-2026/?utm_source=chatgpt.com

From the AI bubble to GenAI’s rise as an organizational tool, these are the 2026 AI trends to watch. Explore new data and advice from AI experts.