Thought Leaders in Cloud Computing: Nuxeo CEO Eric Barroca (Part 3)

Sramana Mitra: What I find interesting in what you said is when you have data structure granularly organized like this, this is a very good beginning for machine learning and other kinds of data-driven rules or data-driven actions. Where are you in those terms? Is that something that’s part of your system? Is this something in your product roadmap?

Eric Barroca: We are starting to play with those. It’s the first step. When you have those structures in place, then you can do analysis and machine learning. If you don’t have them, you can’t. Unify your data model so that you can evolve in a graceful way. Then you can plug in analytics tools. You can use machine learning and try to anticipate, in a knowledge base, what you will need. To do that, you need the data because when you don’t have the data, you can’t apply it. >>>

Thought Leaders in Cloud Computing: Dani Golan, CEO of Kaminario (Part 2)

Sramana Mitra: I would like to do a bit more use case discussion. Before we go on, can you also put this on a competitive landscape map for us? Whom do you compete with? What else is going on in the market in this particular space?

Dan Golan: If you look at the major storage providers, whether it’s EMC or HP, they all have technologies that are very tuned into the legacy IT where you had a lot of time to prepare what applications are residing on the storage. In the new world where the pace of change and growth of data is much faster, those legacy platforms could not compete on performance, scale, cost efficiency, and complexity.

Most of our competitors are, first and foremost, legacy. If you look at our more modern competitors, PureStorage comes to mind. It has a decent technology >>>

Thought Leaders in Cloud Computing: Nuxeo CEO Eric Barroca (Part 2)

Sramana Mitra: What parts of your technology are particularly tuned to handle these large-scale digital assets?

Eric Barroca: The big difference is that we can handle hundreds of properties. We can handle them well at scale and have very efficient querying. That’s something that you can’t do in the market. It’s very hard to do this on other competitive platforms.

Sramana Mitra: Are most of your use cases in all industry sectors related to videos and large multimedia file streaming? Is it fair to say that your core differentiator across different industry sectors is streaming large files like movies and videos? Is that the recurring theme that comes up? >>>

Thought Leaders in Cloud Computing: Dani Golan, CEO of Kaminario (Part 1)

Dani Golan discusses trends in enterprise storage.

Sramana Mitra: Let’s start with an introduction to Kaminario and yourself.

Dani Golan: It’s a pleasure to talk to you. It’s exciting times in IT. If you look at the macro trend—whether it’s cloud computing, Internet of Things, Big Data, the explosion of data is at the center of all that. Kaminario is the next generation storage company that caters to the modern infrastructure. We are essentially the data backbone for data that resides in the cloud.

Sramana Mitra: Let’s talk about what kind of customers you cater to. >>>

Thought Leaders in Cloud Computing: Nuxeo CEO Eric Barroca (Part 1)

At every sector of enterprise software, cloud services are starting to open up doorways to connect with Artificial Intelligence. This interview is a granular look at the role metadata and data structures plays in that interface.

Sramana Mitra: Let’s start by introducing our audience to yourself as well as Nuxeo.

Eric Barroca: I’m the CEO of Nuxeo. We help organizations data assets. We are focusing on helping an organization manage new types of information and assets, especially in the space of media and financial services.

Sramana Mitra: How does this fit into the competitive landscape? There’s a lot of digital asset management solutions that we see. What’s >>>

Scaling a Cloud-Based Disaster Recovery Business in Silicon Valley: Axcient CEO Justin Moore (Part 7)

Sramana Mitra: You had $6 million in funding. What happens next?

Justin Moore: The 2008 financial meltdown happened a week later.

Sramana Mitra: But your money was in the bank before the financial meltdown.

Justin Moore: One week before—September 8, I believe. About a week later, you had the financial meltdown. You can imagine trying to recruit people into a three or four-person startup when you’ve got no experience in storage enterprise infrastructure. Enterprise is not hot at all. No one was interested in enterprise in 2008. It was all about consumer and eyeballs. >>>

Scaling a Cloud-Based Disaster Recovery Business in Silicon Valley: Axcient CEO Justin Moore (Part 6)

Sramana Mitra: Can you walk us through the progression of how many partners you had in year one and so on. How did that number ramp up?

Justin Moore: I couldn’t tell you what the actual numbers were, but it grew rapidly and exponentially. We went from signing two partners a month in the first year to probably 20 partners a month in year three. Eventually, we got to the point where we had over a thousand service provider partners.

Sramana Mitra: What was the incentive structure? What was your pricing model? >>>

Scaling a Cloud-Based Disaster Recovery Business in Silicon Valley: Axcient CEO Justin Moore (Part 5)

Sramana Mitra: Where were you positioning this? Was this for small businesses? Was this for mid-sized businesses? Where was the sweet spot?

Justin Moore: In the early days, the sweet spot was sub-20-employee companies. We had this concept of trying to empower small businesses to run with the resilience of an enterprise. How do we empower the little guys to have the same level of IT confidence as the big guys?

Sramana Mitra: What was the customer acquisition strategy to get to these sub-20 customers?

Justin Moore: First, it was direct. Then we realized that it was going to be far too expensive. As we approached small businesses directly, we found out that a lot of them were working with Managed Service Providers. These are outsourced IT professionals who are effectively the IT department for small companies that can’t afford to have a dedicated IT team. >>>