2025 Predictions by the EQengineered Team
What is your best prediction for enterprise organizations negotiating digital transformation/modernization in 2025?
In 2025, enterprise organizations will prioritize AI-driven automation, robust cybersecurity, and sustainable technologies, leveraging cloud-native architectures and data-centric strategies to enhance agility, resilience, and innovation, driving growth and competitive advantage in an increasingly digital landscape.
Mark Hewitt, President & CEO
As companies try to leverage generative AI to automate creativity, improve decision-making, and enhance customer engagement they will strengthen data governance frameworks to ensure data quality, compliance, and security. Together, these advancements will enable businesses to operationalize AI-driven insights responsibly and at scale across industries.
Ranjan Bhattacharya, Chief Data Officer
In 2025, enterprise organizations seeking digital transformation will broaden use of AI tools to meet rising expectations for realtime access to information and calculations. Tools like “NotebookLM” for data compilation will be employed more widely to summarize output, and there will continue to be breakthroughs in faster processing speed (ie Google’s Willow). Companies will need to balance this with enhanced security as well as input from seasoned professionals to lend their judgement, guidance, and perspectives.
Anna Visi, Senior Principal Consultant, Project Management
AI will be essential for making decisions. In 2025, businesses will need AI tools to help make better decisions, improve operations, and connect with customers. Companies that do not embrace AI at some level will struggle to keep up with competitors.
Cybersecurity will be a top priority. Businesses will need to spend more on cybersecurity, use stricter systems to verify access, and build protection into every part of their technology.
Russ Harding, Vice President of Engineering
Enterprises will continue to prioritize the cleanliness and integrity of their private data. They will place a strong emphasis on developing robust and extensible analytics tools that are not solely dependent on specific APIs or platforms. This approach will enable organizations to remain adaptable and capitalize on the latest innovations in a rapidly evolving technological landscape.
Seth Carney, Senior Technical Consultant
We continue seeing business intelligence a major cornerstone of enterprise organizations' digital transformation strategies. Natural language query capabilities and auto-generated insights, driven by ever-maturing generative AI and vertically-aware LLM, promise democratizing advanced analytics in 2025. The nexus between these technologies will reduce dependence on specialized data analysts enabling broader self-service adoption among business users. AI further promises a role in automating data pipelines, warehouses, lakes, and documentation within business intelligence workflows, improving both data transparency and governance.
The complexities involved with integrating AI with BI/analytics will continue to drive organizations to the cloud on the strength of those vendors' unified ecosystems in contrast to enterprise organizations rolling their own from perceived best-of-breed components.
Kevin Wagner, Principal Data Consultant/Architect
In 2025, I predict that enterprise organizations undergoing digital transformation/modernization will further prioritize flexible and cost-optimized solutions that minimize the risks of vendor lock-in. This emphasis on cost-optimization and ejectability stems from increasing awareness of the risks of rigid architectures and the need to maintain adaptability in a rapidly evolving technology landscape.
Dakota Kim, Principal Technical Consultant
In 2025, CMOs will prioritize seamless collaboration with CEOs, aligning digital transformation initiatives to growth strategies by integrating AI, customer insights, and automation, ensuring marketing becomes a core driver of revenue, innovation, and measurable enterprise-wide transformation.
Rachel Mezzatesta, Vice President, Marketing
As we enter 2025, Enterprises will be looking inward to identify their key values and differential success factors. As a new technical landscape takes shape, they will feel the need to sharpen their identities as experience providers and data experts.
Julian Flaks, Chief Technology Officer
In 2025, advancements in AI will significantly increase the workload for developers, particularly benefiting senior developers by enhancing their productivity and efficiency. However, junior developers may face challenges as an over-reliance on AI for code generation could hinder their critical thinking and debugging skills. Ultimately, AI will empower experienced developers while posing growth challenges for those early in their careers.
Joseph Lagasse, Technical Consultant
In 2025, organizations will prioritize integrating artificial intelligence and machine learning to automate repetitive tasks and personalize customer experiences. Digital transformation efforts will be evaluated through their impact on customer experience; emphasizing seamless omni channel interactions, faster service, and hyper-personalization. Businesses will need to upskill employees and their processes to work alongside AI and invest heavily in customer journey mapping and CX platforms to succeed.
Mike Kivikoski, Principal Designer
2025 is poised to be a year of significant growth for AI across all areas of business. New organizations will emerge, harnessing AI to reinvent traditional business models and drive innovation in unprecedented ways.
Todd Alger, Principal Technical Consultant
Cloud presence will continue to grow as enterprises look to manage expenses and lower the risks inherent with locally managing more secure and robust systems that Cloud solutions provide. Cybersecurity will continue to be the top priority for many organizations as they struggle to stay ahead of the continued growing attacks to critical systems. AI will continue to be a focus for many organizations as they look for ways to improve quality for development efforts, to how projects are managed.
Mark Smith, Principal Consultant, Project Management
AI will become an even more present actor. Some enterprises will handle it with skills and controls, and some will not.
The biggest questions enterprises will face are:
· Yes, they must use AI, but where?
· What is the Risk versus the ROI of AI?
· Can an enterprise control its output? Can they trust it?
· If quality and/or brand name are jeopardized, how does the enterprise measure the impact and react before it’s too late?
Rapid spread of misinformation will cause the implementation of new verification tools to counterbalance disinformation’s influence, replacing the “humans-in-the-loop” concept.
Increase of mistrust may pull people away from digital and social media platforms.
Huge computing surge due to AI usage will trigger new research paths to save energy and hopefully help the planet at a global level.
Anne Lewson, Senior Engagement Director
Companies will begin to rethink the complexities of microservices architectures by focusing on their granularity. This shift will lead to fewer, more cohesive services, which I call "module-lithic" rather than "monolithic." The "module-lithic" approach will address development and communication complexities typical of traditional microservices without losing the key benefits of deployment and scalability.
Jim Wilcox, Principal Technical Consultant/Architect
I predict that we are going to see more of the same. Enterprises are going to be slowly integrating more AI tools into their workflows. I could see organizations moving towards on-site hardware for inference as businesses want to keep their data in-house and away from external model training.
William Ramirez, Principal Technical Consultant
i envision a revolutionary change in many sectors that may have a ripple effect. Currently the economy is very volatile and we may see a new financial system being put in place. This could mean different financial projections for enterprise companies that could either hinder or amplify their respective goals. Also the Age of Aquarius is ushering in more and more technology by the years with the introduction and continued advancement of AI that I believe will be leveraged more and more. Not in the sense of job loss and AI takeover but more time spent to fulfill even more challenging feats for us as a economy and society while AI computes things we used to have to do manually. 2025 will bring evolution and vast modernization
Jacor Finlayson, Senior Technical Consultant