Hyderabad, May 22: Octave, in partnership with HYSEA and IIIT Hyderabad, successfully hosted the May 2026 edition of the HYSEA TechForward Series at Octave’s office in HITEC City, Hyderabad.
The 23rd edition of the industry–research monthly talk series brought together more than 200 industry leaders, academic researchers, enterprise technologists and AI practitioners to discuss one of the most important aspects of Industrial AI adoption — data readiness at scale.
Themed “Industrial AI: The Data Challenge”, the seminar focused on building AI-ready data foundations under the tagline, “What it takes to get industrial data into a state where AI delivers reliable value.”
Participants discussed major challenges faced by industrial enterprises, including fragmented data systems, legacy OT-IT integration barriers, inconsistent data standards, limited contextual labelling of machine data, and the difficulty of scaling AI across complex industrial environments.
The sessions highlighted that successful Industrial AI deployment depends not only on advanced algorithms but also on strong data engineering, governance frameworks and reliable data infrastructure.
The event was chaired by Sekhar Konidena, Vice President – Product and Services at Octave, who spoke about the company’s efforts in solving real-world industrial problems through AI-driven technologies.
Industry perspectives on AI deployment and enterprise data transformation were presented by Suresh Kadambari, Vice President – Product Development at Octave, along with Srinivas Mallepally.
The academic keynote address was delivered by Vineet Gandhi, Associate Professor at IIIT Hyderabad, who emphasised the importance of data-centric AI systems and structured industrial data for building reliable and scalable AI solutions.
Speaking on the occasion, Sekhar Konidena said Industrial AI is fundamentally a data challenge rather than merely an algorithm challenge. He stressed that organisations aiming to scale AI successfully must build unified and continuously evolving data foundations.
Suresh Kadambari stated that Industrial AI is often limited by the maturity of the underlying data ecosystem rather than model sophistication. He said enterprises require context-aware, interoperable and resilient data infrastructures to move AI from experimentation to dependable industrial intelligence.
Ramesh Loganathan, Professor and Dean of Research/Innovation Outreach at IIIT Hyderabad, said the TechForward seminar series aims to strengthen engagement between academic research and the IT industry as technology companies move higher up the value chain.
Bipin Pendyala, President of HYSEA, said the TechForward platform has become an important bridge connecting industry, academia and startups to address real-world technology challenges, especially in the field of Artificial Intelligence.
The May 2026 edition witnessed strong participation from enterprise architects, deep-tech innovators, technology leaders and students, further reinforcing Hyderabad’s growing position as a major hub for Industrial AI innovation and digital transformation.
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