Category: Data

From Zero to Hero: Onboarding New Engineers

Building great tech teams is a really tough challenge. A lot of engineers underestimate how hard it can be. But software is just the result of putting the right people in the room and keeping them motivated on the goal. Building the team is tantamount to the entire mission of a startup, which is why…
Computing, Data, Startup

Deep Learning at x.ai

Deep learning is a field within machine learning which uses algorithms that contain many layers of processing and transformations. x.ai data scientist Adam Kleczewski created the above visualization by training a type of deep learning model called a Recurrent Neural Network (RNN) on the scheduling related emails in our data base. A RNN makes predictions…
Artificial Intelligence, Computing, Data

Using Scala to Build an AI-Powered Personal Assistant: x.ai Engineers Tell All

x.ai makes an AI-powered personal assistant that schedules meetings for you. Amy Ingram (and her brother Andrew) have processed millions of scheduling related emails so far. The team building Amy is 60 people strong. Among them, 25 data scientists and software engineers created the Scala-based technology that allows Amy to understand meeting scheduling emails and…
Artificial Intelligence, Computing, Data

How to talk to your Mom about AI

2015 has seen an explosion in funding, interest in, and new product development around Artificial Intelligence. Facebook delivered M, Amazon gave us Echo, and Google launched TensorFlow, its open source machine learning library. A whole host of startups have also emerged, including ours (x.ai), HyperScience, and Vicarious. There’s an interesting parallel to the web, circa…
Artificial Intelligence, Data, Vertical AI

x.ai Wins a MongoDB Innovation Award!

Awesomesauce! We’re so very honored to take home a MongoDB Innovation Award for Artificial Intelligence. We were on hand at today’s MongoDB World 2015 conference to not only pick up the award, but to also present—Varun Vijayaraghavan, an x.ai Backend Engineer, gave a stellar overview of how we’re building our dear Amy (video to come). Here’s…
Artificial Intelligence, Computing, Data, Startup

It’s Time to Take Artificial Intelligence Seriously – WSJ

No Longer an Academic Curiosity, It Now Has Measurable Impact on Our Lives The age of intelligent machines has arrived—only they don’t look at all like we expected. Forget what you’ve seen in movies; this is no HAL from “2001: A Space Odyssey,” and it’s certainly not Scarlett Johansson’s disembodied voice in “Her.” It’s more…
Computing, Data, Startup

Our future relationship with robots

With Amazon testing its Drone Delivery Program, and the launch of Google Glass, I can’t help but to think about our future interaction with data, algorithms, and machines.   How will we “work”?  What will it look like in the future?  I recently had a great chat with Sanjeev Nambudiri from TechPost Media.  The Podcast is…
Computing, Data

~10 billion formal meetings conducted a year (US)

I read an interesting research paper on Meeting Analysis earlier this week and there was one organizational metric which caught my eye – amount of formal meetings per year. In 1988, United States Fortune 500 companies are estimated to have held between “eleven and fifteen million” formal meetings daily and between “three and four billion“…
Data, Productivity

Death to email? I don't think so. Email volume up 18% in 2013

Pretty much anyone with an email account has a love/hate relationship with emails. We coordinate our weekend plans there. We get our daily deals there.  It is where we conduct business. It is where our shopping receipts are sent. Yet, we are so overwhelmed by them that “inbox zero” is an event worth celebrating. Famous venture…
Data, Productivity

~50 hours per month spent on reading and answering email

I read an interesting report by McKinsey on the Social Economy this morning, but what really caught my eye was a distribution of how interaction workers (knowledge workers) spend their time – and especially the amount of time invested in reading and writing email. The following quote stands out: “The average interaction worker spends an estimated…
Data, Productivity