Brian was recently featured in a crowd-sourced article on about “Assessing the Value of Corporate Data“.

That said, “value” can be a vague concept, with meanings and measurements that vary considerably among different organizations. Chief Technology Officer Brian E. Thomas (@DivergentCIO), asks, for example, “Is the data valuable because it needs to be secured (via regulations such as HIPAA and PCI), or is it the highly rich consumer data that companies are striving to make business shifts based on purchasing trends?”

“Before you can determine value,” he adds, “you need to have structured and mature data governance and data analytics programs. That way there is a collaborative process for classifying and using that data based on its criteria.”

The value of corporate data cannot be overstated. In today’s business world, data has become the lifeblood of organizations, driving decision-making, shaping strategies, and informing operational processes. Companies that effectively harness their data are able to gain a competitive advantage and increase their bottom line.

Data is valuable because it provides organizations with a wealth of information about their operations, customers, and market trends. This information can be used to identify areas for improvement, optimize processes, and make informed decisions about where to allocate resources. For example, companies can use customer data to better understand their target audience, develop targeted marketing campaigns, and improve customer satisfaction. Market data can be analyzed to gain insights into industry trends and emerging opportunities, allowing companies to stay ahead of the competition.

Data can also help organizations to improve efficiency and reduce costs. By analyzing operational data, companies can identify inefficiencies in their processes and find ways to streamline their operations. This can lead to significant cost savings, as well as improved productivity and competitiveness.

Moreover, data plays a crucial role in driving innovation. Companies that have access to a wealth of data can use it to identify new business opportunities, develop new products and services, and stay ahead of their competitors. The use of data-driven innovation has been shown to significantly increase revenue and drive growth in many industries.

In conclusion, the value of corporate data cannot be underestimated. It provides organizations with valuable insights into their operations, customers, and market trends, helping to drive decision-making, improve efficiency, and drive innovation. Companies that effectively leverage their data will have a significant competitive advantage and be better positioned for success in the future.

#BigData #DivergentCIO #DataValue #Data #ConsumerData #CTO #CIO official logo from IDGBrian was recently featured in a crowd-sourced article on about “AI’s Healthcare Promise Will Serve Patients – And More“.

“From early disease detection, improved patient safety, reduced or eliminated repeatable/mundane tasks and human errors, and more accurate medical billing, AI will play an expanding role in healthcare”, says Brian E. Thomas, Healthcare CIO. “Simply put, implementing a set of processes that combines both machines and humans will reap the most benefits.”

AI’s healthcare promise

Artificial Intelligence (AI) has the potential to revolutionize the healthcare industry and significantly improve patient outcomes. With its ability to process large amounts of data quickly and accurately, AI can help healthcare providers to make more informed decisions, improve patient care, and streamline operations.

One of the biggest promises of AI in healthcare is its ability to help diagnose and treat diseases more accurately and efficiently. With the vast amounts of patient data being generated every day, AI can analyze this information and identify patterns that may not be noticeable to the human eye. This can help healthcare providers to make more accurate diagnoses, predict potential health issues, and develop individualized treatment plans. AI can also help to identify patients who are at high risk of developing certain conditions and intervene early, reducing the likelihood of serious health problems.

Medical research

Another area where AI has the potential to significantly improve healthcare is in medical research and drug development. AI algorithms can analyze vast amounts of data from clinical trials, medical literature, and patient records, identifying potential treatments and therapeutic targets. This can speed up the development of new drugs and treatments, improving patient outcomes and reducing healthcare costs.

Moreover, AI’s healthcare promise will help to streamline administrative and operational tasks, freeing up time and resources for healthcare providers to focus on patient care. AI-powered chatbots, for example, can provide patients with 24/7 access to healthcare information and assist with scheduling appointments, while automating administrative tasks such as appointment scheduling, claims processing, and record-keeping can reduce errors and increase efficiency.


The potential of AI in healthcare is vast and holds tremendous promise for improving patient outcomes. From improving diagnoses and treatments to streamlining operations, AI has the potential to transform healthcare delivery and provide patients with better, more accessible, and more personalized care. It’s important that healthcare providers embrace this technology and work to harness its potential for the benefit of patients everywhere. And so, AI’s healthcare promise will serve patients.

Official BMC Helix logo as part of CIO.comBrian was recently featured in a crowd-sourced article on BMC Felix about “A Single Point of Control: How IT Leaders are Advocating for Automation Platforms“.

“Accelerated detection and remediation are the results of incorporating emerging technologies into the automated platform”, says Brian Thomas (@DivergentCIO), CTO of Coruzant Technologies.

“Cybersecurity products have been and are increasingly incorporating more AI technology into their platforms and appliances, due to the sheer number of daily attacks on company networks,” he says. “Utilizing AI technology, these tools not only can learn over time, but they have the ability to immediately detect, alert, and disable threats on the spot — even if it is something that it is not familiar with or has ever seen.”

Automation platforms

Automation platforms are rapidly gaining popularity among CIOs, who are advocating for their implementation in the workplace. These platforms offer a range of benefits, including improved efficiency, increased productivity, and reduced costs. As such, it is no surprise that CIOs are increasingly pushing for their adoption.

One of the key advantages of automation platforms is their ability to streamline processes and eliminate repetitive manual tasks. By automating routine and time-consuming tasks, companies can free up valuable time and resources for more strategic initiatives. Additionally, automation platforms are designed to minimize the risk of human error, leading to increased accuracy and reliability in operations.

Another major benefit of automation platforms is their ability to increase productivity and efficiency. Automated processes are typically faster and more accurate than manual ones, reducing the amount of time spent on routine tasks and freeing up staff to focus on more valuable activities. In addition, automation systems can integrate with existing systems and applications, providing a seamless and efficient work environment.

Additionally, CIOs are advocating for these platforms due to the cost savings they can deliver. Automation eliminates the need for manual labor, reducing labor costs and freeing up resources for other initiatives. Furthermore, automation platforms can reduce the risk of errors and improve overall efficiency, reducing the need for rework and additional expenses.


CIOs are increasingly advocating for the implementation of automation platforms in the workplace. These platforms offer a range of benefits, including improved efficiency, increased productivity, and reduced costs, making them an attractive option for organizations looking to improve their operations. As automation continues to gain popularity, CIOs will play a critical role in promoting its adoption and helping organizations to realize its full potential. official logo from IDGBrian was recently featured in a crowd-sourced article on about “Navigating a Data-Driven Culture“.

“CIOs that have demonstrated strong leadership and who can draw from robust interpersonal skills to build and nurture relationships will be instrumental in influencing and orchestrating such cultural change”, says Brian E. Thomas (@DivergentCIO), CIO. “To drive the culture shift, CIOs need to play a significant role in bridging the gaps in technology fluency with business objectives.”

In today’s digital world, data is king. Companies are increasingly relying on data to inform their decisions, shape their strategies, and drive growth. As a result, a data-driven culture has become essential for organizations looking to stay ahead of the competition. But how can companies effectively navigate this data-driven culture and harness its potential?

Data-driven culture

First and foremost, companies need to prioritize data quality. Data is only valuable if it is accurate, relevant, and up-to-date. Companies must therefore invest in the tools and processes necessary to ensure the accuracy of their data, and regularly assess and improve the quality of their data sources.

Second, companies must embrace a data-driven mindset and make data-driven decision-making a core part of their culture. This requires a change in mindset and a willingness to embrace data-driven insights, even when they challenge established beliefs or practices. Encouraging data literacy and training employees on how to use data to inform their decisions will also be crucial in promoting a this type of culture.

Third, companies must ensure that they have the right technology and infrastructure in place to effectively harness and analyze their data. This includes investing in data storage and management systems, data visualization tools, and machine learning algorithms. It’s also important to ensure that the right data is being captured and analyzed, so that insights can be generated and used to inform decision-making.

Finally, companies must promote a culture of collaboration and data sharing. Data silos can limit the potential of information-driven insights, so it’s important to encourage open communication and cross-functional collaboration to ensure that data is shared and used effectively.

Final thoughts

In conclusion, a data-driven culture is critical for organizations looking to stay ahead of the competition and achieve their goals. By prioritizing data quality, embracing a data-driven mindset, investing in the right technology and infrastructure, and promoting a culture of collaboration and data sharing, companies can effectively navigate this data-driven culture and unlock its full potential.

BOSS MagazineBrian was featured in the March 2016 edition of The BOSS Magazine where he explains how Swope Health Services demonstrates technology’s application in the healthcare field  You can read his full article HERE.

As with many other magazine features, Brian has also been a keynote speaker for local and regional events.

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