Last week, Hakkoda and Coalesce leadership gathered via LinkedIn Live for an enlightening conversation about the future of data technology, leveraging original research conducted by the two companies to put a finger on the pulse of existing data trends and extrapolate what these patterns will mean for AI, data processing, and high-volume storage in the year ahead.
The expert panel consisted of Armon Petrossian, CEO & Co-Founder of Coalesce, Satish Jayanthi, CTO & Co-Founder of Coalesce, and Patrick Buell, Chief Innovation Officer at Hakkoda.
Read some of their biggest predictions for 2025 below.
Embracing Change and AI Integration
One key topic was the use of different compute engines for data processing and the importance of central storage. The panel emphasized a pragmatic approach predicated on the need for tools that understand both the business context and the technical components of AI systems.
Crucially, all panelists recognized the importance of companies being agile and open to change as the idea of “future-proofing” loses relevance as technology stacks have begun to change at an accelerated, AI-driven clip.
New technologies–including AI itself–must be strategically adopted to anticipate and grow with technological advancement, rather than going “all in” on any one toolset or vendor. To that end, Patrick Buell underlined the significance of business value and the dilemma of building versus buying in technology decisions at this crucial technological juncture.
The role of platforms like Snowflake and Apache Iceberg in these increasingly flexible, multi-cloud and multi-compute architectures was discussed, highlighting their crucial role in enabling performant, affordable data processing and storage without stripping data leaders of agility when the next wave hits.
Bridging the Gap: Business and Technology
Satish Jayanthi highlighted the challenge of bridging the gap between business and IT when addressing data quality issues. He portrayed a future where metadata enhances business processes and intelligence. From his perspective, creating value without crashing entails finding the optimal speed of technological adoption. This perspective further affirmed the need for businesses to become more dynamic in order to keep up with rapidly evolving technologies. Armon Petrossian shared Coalesce’s approach to AI integration–an approach that emphasizes internal acceptance of change as a means to benefit customers externally. The company balances between current and future technologies to avoid overwhelming its clientele during their digital transformation journey. He candidly acknowledged the ambivalence many businesses feel with respect to AI and stressed the rapid advancements being made in the field.The Death of Future-Proof Architecture & Technological Shifts
The conversation explored the concept of future-proof architecture, highlighting how the rapid rate of technological change makes it nearly impossible to predict, let alone build for, the next wave of advancements. Flexibility and adaptability were identified as key traits of a technology landscape that constantly evolves in this fashion.
Armon and Patrick discussed the paralysis in decision making that organizations may face due to rapidly changing technology. Emphasizing the importance of taking action even in shifting landscapes, they noted that the contrast between tech companies and traditional enterprises lies in the speed of adapting to new trends.
Acknowledging previous technological shifts, Patrick stressed on the importance of focusing on ROI instead of attempting to predict the form tech stacks will take five years from now.
AI’s Impact and Responsible Use
The looming future of an Agentic AI ecosystem was also naturally referred to with regularity during discussions, with panelists exploring implications for workflows and analytics.
The underlying theme was the responsible use of AI technologies. As companies gravitate towards more autonomous systems, Patrick reminded business leaders of their responsibility in ensuring ethical AI usage, stressing that its purpose should not be about cutting jobs, but to make tasks easier, freeing human time for other vital activities.
Buell in turn identified the changing skill set required by data teams in 2025. He emphasized the necessity of understanding and leveraging AI technologies. Satish Jayanthi, meanwhile, elucidated the need for both technical and non-technical professionals to embrace AI and integrate it into their workflows.
Insurance was one example industry, alongside financial services and manufacturing, where AI had been beneficially adopted— seen in a success story from Armon Petrossian about a company using AI to assist support agents and decrease workload.
Conclusion
In conclusion, the panelists reminded us that organizations need to tread a fine line between innovation and practical implementation. All projections may ultimately prove incorrect, but the indicators given by our panelists were notable and persuasive. They provided plenty for us to consider as we look towards the technological landscape of 2025.
Indeed, rapid technology advancement is a challenge, but organizations that maintain flexibility, adaptability, exceptionally smart AI adoption, and an agile mindset will be ready to thrive in our constantly evolving world.
Interested in more data-powered predictions for 2025? Check out Coalesce’s Top Data Trends for 2025 and Hakkoda’s State of Data 2025 reports, or talk to one of our experts today.
The post The Future is a Point of View: Hakkōda and Coalesce’s Biggest Data Predictions for 2025 appeared first on Hakkoda.