Industry executives and experts share their predictions for 2025. Read them in this 17th annual VMblog.com series exclusive.
By Greg Benson, Professor of Computer Science at the University of San Francisco and Chief Scientist at SnapLogic, and Nitin Singhal, VP of Engineering (Data, AI, and Integrations), SnapLogic
As generative AI (GenAI) continues to reshape industries, 2025 will demand a shift in focus-from rushing to adopt new technologies to ensuring its responsible use. In this rapidly changing landscape, success will hinge on balancing the potential of GenAI with robust safeguards and ethical practices to define an AI-driven future where innovation and accountability go hand in hand. From enabling human oversight in AI-driven workflows to addressing the complexities of copyright and data provenance, these predictions explore the ways AI will transform enterprises and highlight the importance of responsible implementation.
Agents will Flourish with Human Oversight
Agents have the potential to automate the grunt work of many human activities in the enterprise. However, near-term success of Agents will depend on the harmonious interaction between autonomous processing and human approval of critical, consequential decisions. In this way, Agents are an accelerator to human workflows, but the human still has final say. Future Agent systems will seamlessly incorporate a human in the loop.
Increased Focus on Copyright and Data Provenance
As AI-generated content proliferates, questions about copyright infringement and data lineage will intensify. The industry will see a push toward “provenance-aware” AI models that provide transparency about the sources of their training data. Legal and regulatory developments in this area will be closely monitored and could redefine how AI models are trained and deployed.
AI Agents Will Empower Data Engineers To Deliver More Value
In 2025, enterprise AI agents will fundamentally transform workplace operations, not just by automating repetitive tasks but by reimagining the way teams collaborate, innovate, and deliver value. Far beyond assisting humans, AI agents will optimize decision-making, reduce operational overhead, and empower employees to focus on creativity and strategic initiatives. This evolution will redefine roles like data engineers and software developers, transitioning their work from repetitive processes to managing AI systems, shaping data ecosystems, and unlocking new avenues of value.
The Real Work Behind Building Responsible AI Systems Will Come to Light in 2025
The adoption of generative AI will necessitate robust data integration and validation technologies. Organizations will prioritize data lineage, cataloging, and context-sensitive processing to reduce risks like hallucinations in AI outputs. Regulatory compliance frameworks around data privacy, security, and transparency will evolve, and we will see brand new AI regulations driven by global attention to responsible AI usage.
As GenAI democratizes technology and places powerful tools in the hands of employees across organizations, the stakes grow higher. The responsibility for safeguarding systems against potential threats must extend beyond IT teams to become a company-wide priority. In this environment, balancing the drive for innovation with the imperative for protection will define the success of AI in 2025 and beyond.
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ABOUT THE AUTHOR
Greg Benson – Professor of Computer Science at the University of San Francisco and Chief Scientist at SnapLogic
Greg is the Chief Scientist at SnapLogic and leads forward looking research and innovation projects. He is also a Professor of Computer Science at the University of San Francisco. Greg has published several papers in the fields of operating systems, distributed systems, and programming languages. He is one of the original architects of the SnapLogic programming model and cloud platform. Greg also led the machine learning research work that resulted in SnapLogic’s Iris AI.
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Nitin Singhal – VP of Engineering – Data, AI, and Integrations
Nitin Singhal is a seasoned technology and product leader with over 25 years of experience in the industry. He currently serves as the Vice President of Engineering at SnapLogic, focusing on responsible integration of applications and systems, leveraging Agentic architecture to unlock data potential for a global audience.
Before his role at SnapLogic, Nitin was the Senior Director of Engineering at Twitter, where he led the Data Management and Privacy Infrastructure engineering functions. His work involved establishing data governance practices during a critical period for the company, ensuring responsible data usage and compliance with privacy regulations.
Nitin has also held various engineering and product leadership positions at prominent organizations, including Visa, PayPal, and JPMorgan Chase, where he contributed to significant advancements in data strategy and management.
