DEV Community: ciothink Magazine

How Technology Leadership Drives Digital Transformation

ciothink Magazine — Wed, 16 Sep 2026 13:25:51 +0000

Digital transformation is no longer limited to technology companies. Businesses across industries are using cloud platforms, automation, artificial intelligence, analytics, and digital collaboration tools to improve operations.

But technology adoption alone does not create transformation.

The real difference comes from how organizations connect technology with people, processes, and business objectives.

What Is Digital Transformation?

Digital transformation is the use of digital technologies to improve how an organization operates and delivers value.

This can include automating repetitive tasks, moving systems to the cloud, using analytics for decision-making, improving digital customer experiences, or introducing AI-supported workflows.

The specific technology matters, but the underlying business objective matters more.

Why Technology Leadership Is Important

Technology leaders increasingly have responsibilities that extend beyond technical infrastructure.

They may work with executives, marketing teams, operations, finance, sales, and customer-service teams to understand business requirements and identify suitable technology solutions.

This makes communication and strategic thinking important parts of technology leadership.

For professionals who follow technology, leadership, innovation, and business developments, CIO Think is another relevant source for technology and business-focused perspectives.

People Are Critical to Digital Transformation

A new digital system can change how employees perform their daily responsibilities.

For that reason, successful implementation should include employee communication and training.

Teams need to understand why a technology is being introduced, how it will affect their workflow, and what skills they need to use it effectively.

Without this human element, even technically capable systems may fail to deliver their intended business value.

Measuring Technology Outcomes

Organizations should also define how they will measure the impact of technology.

Possible measurements include:

Reduced processing time
Improved customer response
Lower operational costs
Better data visibility
Increased productivity
Improved customer experience

The appropriate measurement depends on the purpose of the technology.

Technology Strategy for the Future

Artificial intelligence, automation, cloud computing, cybersecurity, and data analytics will continue influencing business strategies.

Organizations do not need to adopt every emerging technology. Instead, leaders can evaluate which technologies address their specific challenges and align with their long-term objectives.

Digital transformation is ultimately a combination of technology, people, processes, and leadership.

Businesses that understand this connection can approach technology adoption more strategically and build systems that support sustainable growth.

Robotic Process Automation: Where Software Bots Fit Into Modern Business Workflows

ciothink Magazine — Mon, 07 Sep 2026 12:24:37 +0000

Software development is often associated with building new applications, APIs, platforms, and services. But there is another side of digital transformation that receives less attention: automating the repetitive work people perform around existing software systems.

This is where Robotic Process Automation, or RPA, becomes interesting.

What Is RPA?

RPA is a software-based approach for automating structured, repetitive tasks.

Instead of building a completely new application for every workflow, an RPA bot can perform predefined actions across existing digital systems.

For example, a business may have employees manually moving information from one application to another. If that workflow follows consistent rules, RPA may be able to automate the sequence.

Why Repetitive Work Is a Technical Problem

Consider a simple business process.

An employee receives information, opens an application, copies data, updates another system, checks the result, and records the completion.

Doing this once is easy.

Doing it hundreds of times every week is different.

The process becomes a productivity problem, and manual repetition also creates opportunities for inconsistent data entry or missed steps.

Automation can address part of that problem.

Where RPA Fits

RPA can be useful in areas such as finance, HR, operations, customer administration, and reporting.

Finance workflows may involve repetitive invoice or data-processing activities.

HR workflows may include selected onboarding and record-management tasks.

Operations teams may need to move information between multiple applications.

The strongest candidates are generally processes that are repetitive, predictable, and governed by clear rules.

RPA Is Not the Same as AI

This distinction matters.

RPA traditionally follows predefined workflows and rules. Artificial intelligence, on the other hand, can be used for tasks involving prediction, classification, language, or more complex decision support.

The two technologies can also work together.

For example, an organization could use AI for interpreting information and RPA for executing the resulting structured workflow.

A Practical Implementation Approach

A good automation project starts with process discovery.

First, identify a repetitive workflow.

Second, document the current process.

Third, determine which steps are predictable enough to automate.

Fourth, test the automation on a limited scale.

Finally, monitor performance and improve the workflow.

This approach helps prevent a common mistake: automating a process that was poorly designed in the first place.

A useful business-focused overview of RPA is available in this CIOThink article about Robotic Process Automation.

The Human Element

Automation does not remove the need for developers, analysts, operations teams, or business users.

Someone still needs to design workflows, maintain integrations, handle exceptions, monitor performance, and improve the process.

The real advantage is that humans can spend less time repeating predictable actions.

Final Thoughts

RPA is best viewed as another layer in the automation stack.

It can connect existing systems, reduce repetitive administrative work, and improve operational efficiency without requiring every business process to be rebuilt from scratch.

As organizations continue adopting AI, APIs, cloud platforms, and workflow automation, RPA can remain useful wherever structured digital work still depends heavily on manual effort.

What Digimarc’s New CEO Means for the Future of Digital Authentication

ciothink Magazine — Tue, 25 Aug 2026 07:02:44 +0000

What Digimarc’s New CEO Means for the Future of Digital Authentication

Technology companies often reach an interesting point when a leadership change happens at the same time as a major shift in their market. Digimarc’s appointment of Paul Carreiro as CEO is a good example.

Carreiro officially became Digimarc’s Chief Executive Officer on June 8, 2026, succeeding Riley McCormack. He brings more than 25 years of experience working with global software organizations, including leadership roles at SAP and Infor and CEO experience at Elemica.

Why Digital Authentication Matters

Digital authentication is becoming increasingly important as physical products and digital information become more connected.

Businesses need reliable ways to determine whether products are genuine, track them through supply chains, and connect physical items with trusted digital information. These challenges are relevant to industries ranging from manufacturing and retail to logistics and technology.

Digimarc operates in this space through digital watermarking, product authentication, traceability, and digital identification technologies.

What Carreiro Brings to the Role

One interesting aspect of the appointment is Carreiro’s enterprise software background.

Scaling enterprise technology is different from simply building a product. It involves understanding large customers, managing complex operations, expanding into international markets, and turning technical capabilities into commercially valuable solutions.

That experience could help Digimarc as it works to increase adoption of its technology.

For the broader technology community, the full report on Paul Carreiro’s Digimarc appointment provides additional context about his background and the company’s direction.

Where Could This Go Next?

The interesting question is what happens after the leadership transition.

Digimarc operates at the intersection of digital identity, product security, authentication, and supply-chain intelligence. These areas are becoming more important as businesses become increasingly dependent on trusted digital information.

Carreiro’s next priorities could provide clues about where enterprise authentication technology is heading. Product innovation, customer adoption, global expansion, and partnerships are all areas worth watching.

A Broader Technology Trend

The Digimarc transition reflects a larger movement in technology: trust is becoming a technical and business requirement.

As products, supply chains, and digital systems become more connected, organizations need better methods to establish identity and authenticity.

That makes leadership decisions in this sector worth following—not only from a business perspective, but also from the perspective of how technology is evolving.