WEBINAR
AI: Reality vs. Hype – How to Decide What’s Worth Building
30 Minutes to Decide What AI Is Actually Worth Building
LIVE ON
January 29th, 2026
Recording sent to all registrants.
Today, too many organisations invest heavily in “trending AI platforms” that fail to solve their specific business needs.
Stop chasing trends and focus on what matters. It is easy to get caught up in flashy tools and surface-level POCs, but these efforts often stall when the fundamentals are ignored: What problem are we solving? Is AI the right solution? What is worth building now, and what should be discarded?
Join us for a strategic session designed to provide clarity beyond industry buzzwords. This 30-minute executive session gives decision-makers a chance to step back and evaluate AI realistically before committing more budget or team time.
What Will We Cover?
Distinguishing AI hype from real business value
Identifying common decision mistakes made before launching AI initiatives
Deciding whether to build or buy based on strategic goals
Assessing key investment considerations before scaling custom or existing systems
Analyzing real-world examples of AI implementation in complex environments
Who Should Attend?
This 30-minute webinar is ideal if you are expected to make or influence AI decisions, as it will help you approach them with greater clarity and confidence.
Why Attend This Session?
By the end of this session, you will have a clearer understanding of:
- How to make informed AI decisions without rushing implementation
- Key questions to address before beginning any AI project
- The value of a structured evaluation compared to immediate development
This session is not about accelerating AI adoption; it is about deciding which AI initiative is worth building and which is not.
As the gap between AI hype and business reality continues to widen, act now to gain strategic insights, navigate the hype, and transform your infrastructure into an AI-driven platform.
Meet Our Speakers
Randall M. Brous
Chief Client Officer, InApp
With over 30 years of experience in software engineering and technology leadership, Randall M. Brous serves as the Chief Client Officer at InApp. A former serial entrepreneur, Randall brings deep technical expertise and a client-first mindset to every engagement. His career spans building scalable software systems, leading high-performance development teams, and driving digital transformation initiatives across diverse industries. At InApp, Randall plays a pivotal role in aligning technology strategy with client success, making him a trusted voice on how innovation can solve real-world business challenges—especially in data-intensive sectors like construction.
Parvathy Sukumaran
Lead – Data Science, InApp
Parvathy Sukumaran heads the Data Science practice at InApp, specializing in transforming complex datasets into strategic insights for global enterprises. With over a decade of experience in software development, AI/ML solutions, advanced analytics, and predictive modeling, she plays a key role in helping organizations harness the full potential of their data. At the forefront of InApp’s AI initiatives, Parvathy bridges the gap between engineering and intelligence, delivering data-driven solutions that enable smarter, faster decision-making across industries such as construction, healthcare, and finance.
Mahalingam PR
Sr. Manager, Presales
Mahalingam PR is not only Senior Manager of Presales at InApp but also a distinguished figure within the IT community. As a senior member of prestigious organizations such as IEEE and ACM, and a member of AAAI, CSI and ACCS, Mahalingam actively contributes to the advancement of technology and knowledge sharing within the industry. His commitment to professional development is evident through his impressive array of certifications, boasting more than a dozen certifications in leading platforms, including AWS, GCP, Azure, Oracle Cloud, GitLab, Kubernetes, and more. Mahalingam's expertise extends across various domains. Furthermore, Mahalingam is a prolific author with more than 25 publications spanning diverse areas such as machine learning, system programming, networking, and cybersecurity. His contributions to these fields have not only enriched the collective knowledge base but have also established him as a thought leader in the IT community. Outside of his professional pursuits, Mahalingam enjoys engaging with his peers and mentoring aspiring professionals in the field.
