Thinaer Blog

Smarter production decisions and AI initiatives

Digital  Transformation: 5 Common Mistakes to Avoid

Digital  Transformation: 5 Common Mistakes to Avoid

By Michael Rivera, PhD The COVID-19 pandemic caused a massive acceleration in digital transformation (DT). The event distorted the day-to-day activities of people and organizations. The global-wide lockdowns forced companies to use technology to run operations and...

Leveraging Big Data to Transform the Aerospace Industry

Leveraging Big Data to Transform the Aerospace Industry

By Michael Rivera, PhD Data has always been integral to the aerospace industry. From early aviation to modern aerospace manufacturing technology, data has played a critical role in decision-making, safety, and operational efficiency. However, the amount and complexity...

Industrial IoT as an Enabler for Digital Transformation Evolution

Industrial IoT as an Enabler for Digital Transformation Evolution

By Michael Rivera, PhD Digital transformation involves leveraging digital technologies to create or modify business operations to meet market demands.  But technologies are advancing quickly while market requirements and consumer demands are becoming more dynamic...

Diversity in Action: Thinaer’s Hiring Process

Diversity in Action: Thinaer’s Hiring Process

Thinaer has been making constant efforts to do our due diligence in driving a diverse, equitable, and inclusive workplace!   Check out how we've updated our hiring approach to accomplish that, and more:   Read the article

Accelerating Digital Transformation Through Employee Experience

Accelerating Digital Transformation Through Employee Experience

By Michael Rivera, PhD For most companies, enhancing customer experience has been the primary end goal for digital transformation. Businesses want to differentiate themselves in the market using Machine Learning (ML) to gather and analyze data. IoT solutions then help...

What Data is Powering Your Digital Transformation?

What Data is Powering Your Digital Transformation?

By Michael Rivera, PhD What companies come to mind when you hear the word “data?” For many people, data is directly correlated with tech giants like Google, Amazon, and Facebook. These companies heavily rely on user data for advertising and marketing. The data...

Understanding IoT’s Impact on the 4 Tiers of Digital Transformation

Understanding IoT’s Impact on the 4 Tiers of Digital Transformation

By Michael Rivera, PhD Digital technologies offer a vast array of possibilities, making digital transformation the best way to prepare your company for the future. Unfortunately, the biggest challenge for enterprises is not having a comprehensive knowledge of what...

Capturing the Massive Economic Potentials of the Internet of Things

Capturing the Massive Economic Potentials of the Internet of Things

By Michael Rivera, PhD Since its inception, the Internet of Things has been projected to bring colossal changes and provide radical solutions to many operations. Although it hasn’t reached its full potential, these projections aren’t far from the truth. IoT solutions...

How to Fix Data Overload in Healthcare With Predictive Analytics

How to Fix Data Overload in Healthcare With Predictive Analytics

By Michael Rivera, PhD Healthcare professionals deal with large amounts of data daily. They sift through big data like medical history, the rate of patients suffering from an illness, health survey data, and treatment trends. And most times, this data is too complex...

IoT in Healthcare: Shaping the Future of Healthcare Delivery

IoT in Healthcare: Shaping the Future of Healthcare Delivery

By Michael Rivera, PhD Patients' interactions with doctors were once limited to visits. Then it moved to phone calls and text messages. There was no way for medics or hospitals to regularly assess patients' health and make recommendations.  Due to the increasing need...

Find Your Blind Spots

Free 30-Minute Blind Spot Workshop

Thinaer gives you a roadmap to connectivity and helps you identify your blind spots, walk you through how to look over your factory floor, identify what areas and equipment are collecting data manually, what’s still analog, and what is connected.