Machine Learning (ML) and Artificial intelligence (AI) are at the center of the hyper-competitive era in which change occurs with new technologies in the span of a single blink of an eye. Modern innovations like AI, predictive analytics, ML, and other digital disruptors are changing how businesses operate and how customers interact with brands in every sector of the economy. Moments of existential transition are becoming common for organizations.

According to Cynerio’s 2022 State of Healthcare IoT Device Security Report, 53% of internet-connected medical devices analyzed had a known vulnerability, while one-third of bedside devices had a critical risk. (Cynerio observed over 10 million medical devices at over 300 hospitals and medical facilities across the world). As per the findings, more than half of health enterprise-connected medical devices pose security risks due to critical flaws that could jeopardize patient care.

This has been the center of countless dialogues and debates for decades now. Some believe that institutionalizing innovation means conducting hackathons, investing in research and startups and promoting open office seating, and so on. Others say that innovation is about investing in new technologies like Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Intelligent Automation, or embracing new business models.

The COVID-19 pandemic has changed how businesses in all industries and geographical areas conduct their business for years. A recent McKinsey Global Survey of executives revealed that organizations had sped up the digitalization of their internal processes and supply-chain interactions by three to four years. Additionally, their portfolios’ proportion of digital or digitally enabled items has increased startlingly by seven years.

– Thomas Schranz, CEO and Product at Blossom Over the past few decades, traditional approaches to software development have transformed from traditional waterfall methodologies to agile, which enabled development teams to focus on most viable products (MVP) for early stage demos with customers. Early feedback made teams product market fit and improved client satisfaction. With a faster time to market, digital enterprises have a competitive advantage.

Communications on electronic trading platforms are based on well-defined protocols. These protocols are in standardized format for the “Exchange of information” between the systems. Electronic Exchanges have completely different protocols that they presently expose as their E-Trading interface as below.