The countdown is on to Strata + Hadoop World in San Jose! We’ve been preparing and planning and researching for so long… and now, it’s finally right around the corner. We are most looking forward to meeting with colleagues and industry representatives to hear what you’ve been up to, what you’re interested in and what your plans are. Of course, we invite you to stop by our booth – P7 – to say “hi” and learn more about our solution.

Through the excitement, we’ve put together a short list of some of the events and sessions we hope to attend. Let us know which speakers you’re most excited about and which topics interest you!

  1. The App Trap: Why Every Mobile App Needs Anomaly Detection – Ira Cohen (Anodot). Of course we are most excited that our own Ira Cohen, Chief Data Scientist, will be presenting! He’ll discuss how mobile apps have so many moving parts, so any change to one element can cause havoc somewhere else, leading to annoyed users and even revenue leaks. Ira’s presentation will highlight ways to use anomaly detection to monitor all areas of your mobile app — from the code to the user behavior to partner integrations, and more — to fully optimize it. Ira will present on Thursday at 1:50 pm in LL21 A.
  2. How we work: The unspoken challenges of doing data science – Yael Garten (LinkedIn). This will be a great session for anyone looking to become a data scientist (or anyone looking to work WITH a data scientist). Yael will explore specific and practical tools for more effective partnerships with business partners, managers, team members, and collaborators, and we look forward to hearing what she’s got to say on the subject. Her session is on Wednesday at 11:50 a.m. in 210 D/H.
  3. Feature engineering for diverse data types – Alice Zheng (Dato). We’ve seen presentations by Alice before and have always walked away with renewed energy and a new perspective. She’s a brilliant speaker and we look forward to hearing what she’s got to say about feature engineering methods for text, logs, and images. This session will be held Wednesday afternoon in 230 C.
  4. Deep learning for natural language understanding – Delip Rao (Joostware). It will be interesting to hear Delip’s take on some of the recent breakthroughs in natural language processing, the deep learning technologies powering them, and some of the challenges in building and deploying these systems. Delip will present Wednesday afternoon in 210 C/G.
  5. The state of TensorFlow today and where it is headed in 2017 – Rajat Monga (Google). We’re looking forward to hearing from Rajat as one of the founding members of the Google Brain team. His session will focus on TensorFlow, where it’s been and where it’s heading. Rajat is scheduled to present on Thursday morning in 210 A/E.
  6. Using big data, the cloud, and AI to enable intelligence at scale – Microsoft’s Wee Hyong Tok will explain how the global, trusted, and hybrid Microsoft platform can enable you to do intelligence at scale. He will describe real-life applications where big data, the cloud, and AI help organizations create applications and experiences that are more intuitive, more conversational, and simply more intelligent. His session is on Wednesday morning in 210 B/F.
  7. Data Dash – For the runners among us, they’ve organized a fun run on Wednesday morning (6:30 am) to raise money for the Gray Area Foundation. Grab your running shoes and maybe we’ll see you on the way!

So what’s on your list? What are your “Must Do’s” and “Must See’s” for the week?

We can’t wait to see you there… don’t forget to come by booth P7 to say “hi.”



Written by Anodot

Anodot leads in Autonomous Business Monitoring, offering real-time incident detection and innovative cloud cost management solutions with a primary focus on partnerships and MSP collaboration. Our machine learning platform not only identifies business incidents promptly but also optimizes cloud resources, reducing waste. By reducing alert noise by up to 95 percent and slashing time to detection by as much as 80 percent, Anodot has helped customers recover millions in time and revenue.

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