Resilient leadership
Dana Berg
CEO
FOSTER A CULTURE OF LEARNING
Encourage continuous learning and skill development to adapt to evolving technologies and market dynamics. Leaders will take the opportunity to refresh corporate professional development funding and employee training opportunities to help retain and attract new talent.
Build strong relationships
We’ll see smart leaders prioritize cultivating strong relationships with employees, customers, and partners to build trust and foster collaboration.
Prioritize mental health
Leaders will promote mental well-being and work-life balance to enhance employee productivity and job satisfaction.
AI-driven marketing
Narine Galstian
CMO
ADAPT TO THE AI REVOLUTION
AI will continue revolutionizing the marketing landscape, empowering marketers to deliver hyper-personalized experiences at scale. By automating routine tasks and providing advanced insights, AI tools like Gemini, coupled with the power of Google Cloud, will enable marketers to focus on strategic initiatives.
Fully integrate AI into your strategy
Marketers must fully embrace AI as a powerful tool (not consider it a threat), while embracing a human-centric approach. It’s important never to rely solely on AI recommendations, but they’re great tools to generate initial ideas like first drafts, automate routine tasks, and gain powerful insights to move the business forward. Never blindly rely on AI recommendations without human review.
Maintain brand integrity while embracing AI
We must remember that our brand voice is a superpower. Accurate and detailed prompts, human judgment, and continuing to coach the AI tools on the output quality (what worked well, what did not) are critical to delivering high-quality materials. It is clear that these tools are here to stay—it will be essential for marketers to continue to embrace and upskill their knowledge on how to best leverage them for their specific roles based on the latest technologies.
Approaches for CTOs to drive innovation
Miles Ward
CTO
PROVIDE A LAUNCHPAD FOR INNOVATION
Innovation simply doesn’t happen unless you can stand on the shoulders of giants. Don’t expect AI to let you skip the data governance, platform engineering, and testing required to make the magic happen.
Understand the difference between capability and impact
Many incredible new capabilities transpired in 2024, but connecting those capabilities into a profitable, effective, reliable system has proven challenging for most firms. In 2025, easier needs to be even easier.
Explore Service-as-a-Software
Instead of software as a service, we will begin to see Service as a Software. Categories of service offerings that businesses are used to having teams of people do will be introduced as software. This implies the full set of problems associated with software. The evaluation process for businesses will become more sophisticated – they will grapple with not just service management issues but software management issues.
How AI will transform industries
Simon Margolis
Associate CTO of AI/ML
FAMILIARIZE YOUR BUSINESS WITH THE NEXT AI GAME-CHANGER
While generalist agents have been popular, there has been a constant trend towards agents that are not just knowledgeable about proprietary, relevant information like CRM or ERP data but also agents that understand the context they’re working within. These agents will now be able to understand a support case, recommend workarounds, update ServiceNow, and create a follow-up in Salesforce based on the interaction.
Balance AI advancements with sustainable practices
While still useful in some cases, LLMs have started to take a back seat to specialist small models. These specialist models perform a specific set of tasks at a higher level of quality than LLMs and consume significantly less energy. This trend, paired with an overall shift to nuclear and other renewable energy sources, will ultimately lead to less environmental damage due to AI usage.
Revolutionize daily operations with AI in the workplace
AI agents will be expected in all enterprise applications by the end of 2025. Whether assisting with submitting an expense report or aiding an audit platform in identifying incongruencies, these agents will be an integral part of almost all workflows.
Effective change management for AI integration
Veronica Raulin
Senior Director, Advisory
ACHIEVE AI BUSINESS READINESS
There’s more to AI than data readiness. Equally important is whether the business has the wherewithal to take on AI. A successful AI strategy requires a holistic approach that considers existing internal systems and approvals, responsible use policies and security best practices, processes in place to vet and prioritize AI initiatives, and a focus on bringing people along for the journey.
Define AI success criteria for business growth
Productivity gains will continue to be a KPI for AI adoption, but organizations will start to prioritize a broader range of success criteria for their AI initiatives. Change management professionals will be critical in helping organizations identify and measure these new metrics.
Innovations in Healthcare and Life Sciences
Michael Ames
Managing Director of Healthcare and Life Sciences
TRANSFORM PATIENT CARE WITH GENAI SOLUTIONS
Even as the generative AI hype cycle begins to cool, we will begin to see the first large-scale deployments of GenAI solutions in healthcare built on hyperscale LLMs, like Google’s Gemini Pro. We’ll see a decrease in startups with exciting but overly aspirational goals and an increase in mainstream healthcare organizations citing real gains in patient care and clinician experience.
Accelerate technology adoption in healthcare
A secondary effect of the generative AI hype cycle has been increased focus on more traditional data analytics technologies—data warehouses with real-time streaming ingestion, new approaches for monitoring and maintaining data quality, and increased emphasis on the “old school” AI technology—machine learning. We’ll see an acceleration in the deployment of these technologies to solve real-world problems, especially in hospital operations like demand forecasting and smart scheduling.
Empowering Developers for Future Success
Heather Sundheim
Director, Customer Engineering
Implement neuroinclusive design principles
Developers who design with neurodiversity in mind will see 5x greater user adoption. This means creating interfaces and experiences that are accessible to people with a wider range of cognitive abilities.
Prioritize clarity and simplicity
Developers will focus on prioritizing clarity and simplicity, offering flexibility and control, reducing cognitive overload, and considering sensory sensitivities to make technology more user-friendly and engaging for all. This means using clear language, customizable interfaces, and minimizing distractions to accommodate diverse cognitive needs and create a more inclusive digital world.
Empower citizen developers
Over half of all business applications will be built by users who don't identify as professional developers, thanks to the rise of low-code/no-code platforms. The rise of "citizen developers"—employees with no formal coding experience who build business applications using user-friendly low-code/no-code platforms—is transforming software development.
Unleashing the potential of AI InfraOps
Fabian Duarte
Director of Associate CTOs
Embrace AI-driven InfraOps
AI InfraOps will drive the scale, performance, and extensibility of data to drive further data preparation, modeling and improved inference performance. We will see new unicorns in Storage, Networking and AIOps software.
Navigate Broadcom pricing
The Broadcom pricing updates will continue to loom over many customers across industries, verticals, markets, and sizes. Cloud will continue to be a viable alternative, whether leveraging VMware through Google Cloud or other hyperscalers or going cloud-native.
Adopt application delivery as a service
The industry will continue to drive towards connectivity, applications, and secure access. With generative AI and security, we will see a shift towards virtual desktops running from the cloud and a large uplift toward Application Delivery as a Service as the industry pushes Infrastructure, both on-premise and cloud, towards simplification.
Cybersecurity Strategies for Business Resilience
Rocky Giglio
Director, Security GTM
Adapt your business to meet regulatory demands
One of the most significant trends is the increasing regulatory requirements. These new regulations are driving sweeping changes that will impact a wide range of organizations. Developing a strategy to ensure compliance with these evolving standards is crucial to avoiding costly penalties and reputational damage.
Overcome remote work security challenges
Remote work continues to present security challenges, with increased access to sensitive data and the use of personal VPN services. To address this, organizations should explore alternative solutions that enable the benefits of remote work while maintaining robust security controls. This may involve adopting cloud-based security tools that can provide visibility and protection for endpoints, regardless of location.
Address the cybersecurity talent shortage
The persistent talent shortage in the cybersecurity industry remains a top concern. However, leading organizations are recognizing this gap and adopting innovative solutions to bolster their security capabilities. Managed security services, incident response retainers, and comprehensive security assessments can help fill the talent void and ensure continuous threat monitoring and incident response readiness.
Streamline Financial Operations
Robin Roacho
Lead FinOps Financial Analyst
Harness AI for intelligent spending models
Artificial intelligence and machine learning will continue to play a pivotal role in improving spending forecasts and anomaly detection. Businesses will increase their adoption of tools such as Looker, BigQuery, VertexAI, and Gemini to help them monitor and forecast their cloud spend.
Ensure proper tagging for cloud governance
As businesses continue building applications leveraging VertexAI, the workloads must be appropriately tagged and labeled. Under all circumstances, the FinOps team should be able to segment the cloud spending and attribute it to human beings. This will also ensure compliance with the company’s cloud governance policies.
Leverage AI/ML for FinOps innovation
Cloud technologies lowered the entry barriers for companies competing in the cloud cost management area. Therefore, currently, there are dozens of tools that perform a similar job. These platforms must find competitive edges using AI and ML to differentiate their product and thrive. Platforms that cannot evolve quickly or find a niche market within FinOps will have a tough time surviving in the rapidly changing environment.
Architecture will evolve with AI, and smarter edge locations
Christopher Hendrich
Associate CTO
Leverage AI to accelerate software development
The software development lifecycle will get more automated, with AI helping with code testing and deployment, and monitoring. Agentic AI will be used to not just analyze code but to actively remediate code issues and troubleshoot infrastructure without human intervention.
Implement multi-regional compute strategies
Platform teams will increasingly adopt multi-regional compute architectures to tolerate regional stockouts for GPUs and TPUs. By preventing service disruptions and reducing latency at the same time, this approach safeguards revenue, protects brand reputation, and ensures a consistently positive experience for end-users.
Upgrade edge locations with AI
Edge locations will get smarter by adopting modern infrastructure and application management solutions like Kubernetes and GPUs to support legacy and new AI workloads within the same hardware footprint.
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