With the same fanfare, spectacle and grandeur of the GRAMMYs and Oscars, HPE Discover comes around only once a year. This year it descends upon Sin City on June 7-9 at The Venetian Las Vegas.
With more than 10,000 attendees from over 85 countries, HPE Discover brings together top industry-leading IT executives, architects, engineers, partners and thought-leaders under one roof. Discover’s unique schedule is focused on delivering hands-on learning, new technology discovery, networking and collaboration opportunities to uplift your career and your business’ performance.
The backdrop of Las Vegas sets the perfect stage for HPE Discover 2016. Bright lights appear and sensory overload sets in as soon as you step off the plane at McCarron International Airport. With so much to do and see in Vegas, the challenge is knowing where to begin. The same can also be said for the granddaddy of all IT conferences – HPE Discover. Luckily, you’ve found the perfect guide to navigate through the hottest IT conference of the year, helping put every Operations Analytics session at your fingertips!
Avoid the data hangover!
Both Las Vegas and Big Data have one thing in common…the inevitable hangover. At Discover ’16, the struggle doesn’t have to be real! Here are some sessions you need to make sure you attend to avoid that data hangover and gain some operational intelligence in the process... (Tip: Add to your Discover ’16 agenda)
Despite what the casino goers tell you, you might even walk away from the booth a prize winner…
And finally, below is the official OpsA Session Guide for your personal consumption. It’s zero calories, yes, but literally consuming it is not advised.
I look forward to meeting you personally at Discover ’16 this year. If you see someone walking around with the paparazzi, it’s most likely me. Feel free to stop me and say hello. I promise not to give bad casino game advice.
Gabriel helps lead product marketing for HPE Operations Bridge. His background includes digital marketing, analytics, and machine learning. His passion is centered around working with brands to understand how big data analytics can drive the digital enterprise.