MLB.com · 13 Sep, 20:44 · Technology briefing

Visualizing Travis Bazzana's swing using bat tracking technology

Major League Baseball is deploying advanced bat tracking technology to visualise and analyse Travis Bazzana’s swing mechanics.

What it means for you ↓ Courses for this story

30%premium for professionals who pair domain skills with tech fluency

3.5xfaster skill turnover — staying current is the moat

74%of employers fund staff who self-start upskilling

20days to your first credential

The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

Major League Baseball is deploying advanced bat tracking technology to visualise and analyse Travis Bazzana’s swing mechanics. This initiative represents a significant step in integrating high-fidelity biomechanical data into player performance evaluation. By capturing precise metrics on bat speed, angle, and contact points, teams can generate detailed visualisations that offer unprecedented insight into athletic technique. The report highlights how this granular data assists coaches and players in refining strategies and optimising physical output. For professionals outside sports, this underscores the growing ubiquity of motion capture and real-time analytics in performance-driven industries, demonstrating how technology transforms traditional coaching methods into data-centric optimisation processes across various competitive fields.

Employer demand for Data Science skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)

Your move

What this means
for your career.

Every headline redistributes opportunity. Here is who this one rewards — and how to be on the right side of it.

You must recognise that data-driven performance optimisation is now standard across competitive industries. As sports analytics mature, the skills required to interpret complex biomechanical datasets become increasingly valuable in corporate strategy and operations. Professionals in technology, engineering, and management should pay close attention to how visualisation tools translate raw data into actionable insights. To stay ahead, you should upskill in data science and analytics, focusing on interpreting high-frequency sensor data. Consider pursuing courses in Artificial Intelligence or Data Science to understand predictive modelling. Additionally, explore AI in Sports to see how machine learning enhances decision-making. By mastering these analytical frameworks, you position yourself to drive efficiency and innovation in your own sector, regardless of whether you work in finance, healthcare, or logistics.

For this story, the fields that convert it into pay are Data Science, Artificial Intelligence, AI in Sports and Engineering — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below

Matched to this story

Enrol in these
to benefit.

These programmes position you for exactly this shift — online, self-paced, and finishing with a verifiable certificate you can share the day you pass.