SpeakersAgendaWhy attendPartnersCo-located
Locations ▼
Text here
Text here
Sign In
Register
SpeakersAgendaWhy attendPartnersCo-located
Locations ▼

Get invited

Register

Request to partner

Register now

Call to action
Your text goes here. Insert your content, thoughts, or information in this space.
Button

Back to speakers

Anu
Mahendran
Director GTM Strategy and Operations
Palo Alto Networks
Anu Mahendran is a sales strategy, revenue operations and go-to-market leader with more than 15 years of experience driving growth and business transformation across enterprise SaaS, cloud and cybersecurity organisations. Working closely with executive leadership, Anu specialises in turning strategy into execution: building scalable operating models, bringing rigour to forecasting and pipeline management, and leading cross-functional initiatives that accelerate revenue and strengthen business performance. Anu's expertise spans GTM strategy, sales planning and transformation, partner and ecosystem strategy, and the executive operating cadence that keeps a revenue organisation honest, from QBRs to forecast reviews. Anu is known for aligning global teams, cutting through complex business challenges and delivering measurable outcomes grounded in data-driven decision making and disciplined execution.
Button
21 January 2027 15:15 - 15:45
Panel | Using AI to go from manual analysis to real-time signals
Most teams still find out something's wrong after the deal's already slipping, pulled together in a spreadsheet days after the fact. By the time the pattern shows up in a report, the window to actually do something about it has usually closed. This panel looks at what it actually takes to move from that kind of after-the-fact analysis to signals that surface while there's still time to act on them: what "real-time" really means in a RevOps context, which data sources are reliable enough to build on, and where AI is genuinely earning its place in that shift versus just adding another dashboard nobody checks. Our panellists will get into the practical groundwork this requires too, from data hygiene to defining what actually counts as a signal worth acting on, so the conversation stays grounded in what's achievable rather than the vendor pitch version of real-time.