MJFChat: Understanding Microsoft's 'Project Cortex' knowledge-management strategy

 

We’re doing a twice-monthly interview show on Petri.com that is dedicated to covering topics of interest to our tech-professional audience. We have branded this show “MJFChat.”

In my role as Petri’s Community Magnate, I will be interviewing a variety of IT-savvy technology folks. Some of these will be Petri contributors; some will be tech-company employees; some will be IT pros. We will be tackling various subject areas in the form of 30-minute audio interviews. I will be asking the questions, the bulk of which we’re hoping will come from you, our Petri.com community of readers.

We will ask for questions a week ahead of each chat. Readers can submit questions via Twitter, Instagram, Facebook and/or LinkedIn using the #AskMJF hashtag. Once the interviews are completed, we will post the audio and associated transcript in the forums for readers to digest at their leisure. (By the way, did you know MJFChats are now available in podcast form? Go here for MJF Chat on Spotify; here for Apple Podcasts on iTunes; and here for Google Play.)

Our next MJFChat, scheduled for Monday, April 13, is all about Microsoft’s Project Cortex. My special guest is Naomi Moneypenny, Microsoft’s Director of Product Development for Project Cortex. We want you to submit your best questions for Naomi ahead of our chat.

Project Cortex is the codename for Microsoft’s knowledge-management technology that it is building into a number of its existing and future products. It’s meant to help users mine data across Microsoft 365 and make it readily available to customers so they can intelligently access files, contacts, meetings and more information. Microsoft introduced Project Cortex at Ignite last year and has been working with select private preview customers on the technology for the past several months.

Got questions about what Cortex is, how it fits in with Microsoft Search and the Graph API and/or how it potentially will impact your Microsoft 365 customers in the future? Naomi is ready to answer.

Also: If you know someone you’d like to see interviewed on the MJFChat show, including yourself, send me a note at [email protected] (Let me know why you think this person would be an awesome guest and what topics you’d like to see covered.) We’ll take things from there….

Transcript:

Mary Jo Foley (00:01):
Hi, you’re listening to Petri.com MJF Chat Show. I am Mary Jo Foley, AKA your Petri.com community magnet and I’m here to interview tech industry experts about various topics that you, our readers and listeners want to know about. Today’s MJF Chat is going to be all about Project Cortex, which is Microsoft’s knowledge management technology and services. My special guest today is Naomi Moneypenny, Director of Product Development for Project Cortex. Welcome Naomi and thank you so much for doing this chat.

Naomi Moneypenny (00:39):
Thank you so much Mary Jo. It’s a real pleasure to be on the podcast with you.

Mary Jo Foley (00:44):
Thanks. I know it’s great to talk to you again. It’s been a while. So, let’s just get right into the questions because we got a lot of reader questions all about Cortex this week. And I’m going to throw in a few of my own questions too. So I think it might be good to start with your elevator pitch. When somebody says to you, I need a brief definition of Project Cortex, what do you say?

Naomi Moneypenny (01:10):
So I really talk about Project Cortex as being a data magnet, in the same way that you are a community magnet. The way that you think about knowledge inside of your organization. So what we’re doing with Project Cortex is to help you create a knowledge network inside of your company and that’s using the data that you already have inside of your organization. And we want to think about the data that’s coming into your business processes, how we think about making that smarter as well. So really about collecting all of the information together, figuring out what is knowledge inside of your organization and then making that widely accessible Across your company.

Mary Jo Foley (01:42):
Great. That’s perfect. I have a reader question from Andrew Salter. He asked, is Cortex gunning for Confluence? And Confluence is from Atlassian and it also is somewhat of a knowledge management type product as well.

Naomi Moneypenny (02:01):
I don’t want to compare or sort of talk really about competitors. I think we’re really trying to blaze a new trail here with what we’re doing with Project Cortex. And so it’s less really around looking at existing marketplace offerings and more about what can we do uniquely for you given your content in Microsoft 365 and beyond. And what we can do uniquely is really thinking about how we collect together the knowledge that’s important inside of your organization.

How do we dynamically let you identify what that knowledge is? One of the great things about Project Cortex is it’s looking through all of the information that you already have in your organization and figuring out from there the rich set of topics, the experts and the resources that are available. And bringing all those together and it’s a Wiki like experience. So we can only go so far with AI, but we can take the first cut essentially there and then have folks come in, the subject matter experts and to put their own Wiki like touches on top of it as well.

Mary Jo Foley (02:52):
Okay. That’s good. Chris Walsh asked on Twitter, who is Project Cortex for? And I think he’s asking there like, what type of job function? And he also asks, are there any specific industries where you think it’ll take off, especially well?

Naomi Moneypenny (03:07):
That’s a great question. So who’s it for? I hope that it’s for everybody. That is my goal with what we’re doing with Project Cortex. Is there a place where you don’t need knowledge in your job? Right? It’s unlikely. So we’ve really thought about how you can have that applied basically across everywhere. I think really as we look at different roles inside of an organization there’s obviously just use an end user, right experiences that you want every single day. Our goal is to really bring and empower those experiences into the applications that you use most. So we just want to surface knowledge, right? Wherever you are.

We’ve not really worrying about where it came from inside of the organization, but you’re really just being able to consume and use what’s knowledge across your organization and really bring that into the end user flow of work. And then I think about, you know, there are other people inside of your organization that might help to curate the information that’s important.

Naomi Moneypenny (03:53):
So think about, maybe it’s the project manager or how can we make your life easier? So think about, you know, if you have a whole bunch of like project proposals that are coming in every single day and you want to do some automation around the extraction of what’s important for those in terms of metadata. So we’ve given you some great tools as part of Project Cortex to be able to do that so you can extract what’s important in a business process and then be able to save that and then make that available more generally in the company as well.

And so we think about how are we making you as that subject matter expert, how are we giving you great tools for that? And then we want to think about also how you send information around the organization. So right now as a project manager or as a subject matter expert, you might put together a site to, you know, a project site.

Naomi Moneypenny (04:35):
You might talk about what your project does and you want to be able to keep that up to date all the time. And so one of the great things we’re doing with Project Cortex is enabling that knowledge mining to happen automatically. I’m bringing those pieces together so it makes your life a lot easier as well. And so you know, the roles, it’s, yeah, the end user. It’s user subject matter expert or maybe you’re running a project and being able to put all those resources together.

And then, you know, there’s an element here for folks that maybe you’ve worked in knowledge management before and really thinking about how they’re empowered to share information more generally across the company. And so we think about this not as a strict role, but really as a resource where oftentimes your, your job is about curating knowledge in some shape or form. Whether it’s the beginning of a project, the end of a project, maybe you’re trying to do something across a whole community of practice or as a subject matter expert. And so we’ve got some new tools that help with that as well.

Mary Jo Foley (05:29):
Hmm. Do you think there’ll be any particular industries that kind of gravitate towards it quicker than others?

Naomi Moneypenny (05:35):
I’d say we’re getting a lot of, looking at sort of the preview customers that we have. We’ve had a lot of engineering companies who come through, which is not surprising I think. Folks who are working on very large scale projects, it’s not surprising to see that. We’ve had a lot of uplift from healthcare as well, where again, the speed of knowledge transfer inside of the organization is very important and how we can do things to make processes more efficient is part of that. And then the other area is professional services, which I definitely see that. So if your business is information, if you’re selling expertise right, then you definitely want Project Cortex. And so we’ve definitely seen those areas. But I don’t think, as I look at sort of the whole preview set of customers that we have, I don’t think there’s an industry that hasn’t been represented. So we’ve seen everything from education all the way through to financial services, real estate. All kinds of areas.

Mary Jo Foley (06:27):
Huh. Interesting. This is a question for me. Is Cortex actually built on top of SharePoint, or should I think of it more like an evolution of what are content services now in SharePoint? Like, I guess I’m curious how tied is it to SharePoint and how much is it an evolution of SharePoint?

Mary Jo Foley (06:47):
So, great question. So I think it is in the evolution piece of it here as one of my colleagues, Chris McNulty always likes to say, you know, if this was a movie piece, then it would be sort of, you know, from the producers of SharePoint right, and so that would be great. It’s a great line. So I love that. So it really is from that perspective. So we are building on all the capabilities that we have in Microsoft 365 and as you know, SharePoint as a core essence of that, you know, it’s where all the content essentially gets stored for Microsoft 365, from a document perspective. And so we’re really putting all those capabilities to use. And we’re materializing a lot of what we’re doing. So those Wiki like capabilities, they talk about, you know, if you go in there and you’re editing a topic page, that topic page happens to live in SharePoint. It will display in lots of places across the suite as many of our things do in Microsoft 365 but even SharePoint’s an essence from that perspective. But when we look at sort of the full gamut of everything that we’re doing, we are really, you know, bringing this as a suite wide capability in Microsoft 365 and then being able to have that exposed even further of course, as part of that.

Mary Jo Foley (07:50):
Okay. I should have asked this at the beginning, but, I see some people referring to Project Cortex as if it’s a new separate product the way Teams was for Office 365, but that’s not actually correct, right? Isn’t the way to think about Cortex is as an underlying foundational service that kind of bubbles up in other things that you already have?

Naomi Moneypenny (08:15):
I would think of it as a new service inside of Microsoft 365, I think that’s the right way to think about it. So it’s not, you know, so much as it’s going to be an app and a destination. Yes, we are empowering all of those experiences in Microsoft 365 but it isn’t, it is its own set of capabilities and a rich new set of features that go along with that.

Mary Jo Foley (08:34):
Okay. Can you explain to me the connection between Project Cortex and Microsoft Search and for people listening who don’t know what Microsoft Search is, this is the unified search experience that Microsoft’s been building that’s going to be common across Office, Bing, Edge and Windows. So how does Cortex fit with Microsoft Search and, and also is Microsoft Search a requirement for Project Cortex?

Naomi Moneypenny (09:03):
Great questions. Yeah, I love to talk about Microsoft Search. As you know, it was one of my areas that I looked after before, and indeed on the Project Cortex team, we actually still look after the Microsoft Search in SharePoint and OneDrive experiences as well. So it’s all within our remit. So these things are very much interconnected and it’s an important piece of what we’re doing. So with Microsoft Search it’s really, you know, bringing that advanced capability across all of Microsoft 365 and beyond and to really centralize that as a search service that works across all of your data. And so we are using elements of Microsoft Search and what we do with Cortex because we are using it, for example, for security trimming. We’re using it for some of the indexing of, of the content that’s in there as well. And so it’s definitely another one of those capabilities inside of Microsoft 365 that we’re building on top of.

Naomi Moneypenny (09:48):
We think it’s a really important to element that way. And what’s really, you know, I’d say from a different perspective is sort of what we’re doing with Microsoft Search. We want that search box to be across everything inside of the suite as you know. So Bing and SharePoint and one drive and Teams and Yammer and everywhere else, Outlook everywhere that you are we definitely want you to use Microsoft Search as part of that. And so we will surface up, for example, things like topic answers, when we’ve got a Project Cortex topic, we’re going to surface that up as part of Microsoft Search and you’ll be able to access that information the same way through APIs, et cetera as well. But the new set of functionality that we have with Cortex is on top of everything that we’re doing with Microsoft Search.

Mary Jo Foley (10:27):
Okay. So can you, will you be able to use Project Cortex if you are not using Microsoft Search? And the reason I’m asking that is I know some people have been a bit reticent to use it because I think because they don’t quite understand the privacy implications. They’re thinking, wait, Microsoft is going to look at all the data inside my company and will everybody in my company see the same search results? Like I don’t think that’s clear in many people’s minds how that works.

Naomi Moneypenny (10:59):
Yeah, that’s a great set of questions. So let’s think about it from a Microsoft Search perspective. All of these capabilities we have in terms of intelligence and personalization are really driven from the Microsoft Graph. And the Graph is always highly, highly personalized to you. So we’re processing trillions of signals essentially inside of Microsoft Graph every day. And those signals are personalized to you in terms of the content and the people and the resources that you see there and all of the edges that we’re processing essentially inside of the Microsoft Graph. So did you create, did you read an update, a document? Did you have a meeting with somebody? Did you get assigned a task? Did you log in from this PC? All those kinds of things. So, we’re looking at kind of all of that great intelligence inside of the Graph and using that to help with the personalization.

Naomi Moneypenny (11:42):
When you look at Microsoft Search, right? The search results that you are delivered are truly personalized for you. So you see things obviously permissioned and security checked, right? We’re never going to show you content that you don’t have access to. And so that’s an important premise with Microsoft Search, right? You cannot go off and sort of see everything that you’re not supposed to or anything else. It’s definitely, built into the model. And then the Graph signals are on top of that and they’re making that richer set of content for you. So the same thing that powers, you know, most recently used documents for example, is the same thing that powers Microsoft Search as well. So that, that rich set of capabilities, so we are building on top of those things with Cortex. Is it a prerequisite? Well, we think Microsoft Search comes with Microsoft 365, right?

Naomi Moneypenny (12:23):
It just ships as part of the suite. And so, we think it’s an important service for you to build on top of. It is the thing that helps with permissioning. Most folk, are, you know, there’s not a, how can I say this, there’s not some easy way to say, Hey, I’m just gonna use another search mechanism, which is up to you if you choose to build your own set of search experiences but we’re not going to be able to say, Hey, from a Project Cortex perspective, okay, go plug into that search set instead. You can do a bunch of things around it, sensibility. But fundamentally, the indexing, everything else that we’re doing is being driven by Microsoft Search by the Graph.

Mary Jo Foley (12:58):
Okay. That’s good. You just, you just preempted one of my questions I was going to ask you about the Graph. So the Graph is kind of like at the heart of this whole thing, right? I mean, it’s the centerpiece of what Microsoft Search is and what Cortex is and what a lot of the new services are from Microsoft. Yup. Okay.

Naomi Moneypenny (13:18):
Yeah that’s right, so the Microsoft Graph again is that, you know, it’s literally trillions of signals that we’re processing and those signals come from everything from your Azure Active Directory. Right. How are your organization’s structured? What team you’re in, all that work, all of those collaborations systems, the richness that we have in there. It looks at devices, it looks at all of the activity that we have. So if you think about it as sort of kind of the raw materials, if you will but we need to understand and process. And that signaling really helps from driving a personalization angle with everything that we do with the Graph. And then of course, from an external perspective, it’s a rich set of APIs that people can consume to build their own applications on top of as well. And so that’s definitely an important piece of what we need in order to process more things with Cortex.

Naomi Moneypenny (13:59):
So I think fundamentally with this, if you’re, not to be too geeky, but what we’re doing essentially with Cortex is, you know, if you think about existing nodes, if you will, inside of the Graph. So you’ve got the node around, you know, here’s a file, here’s a person, here’s a meeting, here’s an object. Basically inside of the Graph, what we’re doing is dynamically creating a new type of node, which has topics and projects and skills capabilities inside of the organization. And we’re dynamically creating that and then a whole new set of signals that map around that as well.

Mary Jo Foley (14:27):
Yeah. The skills one I think is something a lot of people kind of gloss over. You know, everybody talks about the contact card or the most recently used documents, but I remember, I think it was at Ignite you and maybe Chris McNulty also were talking about how LinkedIn learning even could be integrated in here in terms of helping people build skills or re skill. And that’s part of Cortex, right?

Naomi Moneypenny (14:52):
Yeah. So if you think about knowledge really and what we’re doing with this, the whole idea of how do I get up to speed faster, especially in, you know, the economy that we’re dealing with right now, how do I get up to speed faster if I change my job, if I change my role inside of an organization, there’s a huge hidden cost there inside of a company of like just changing your role takes you, you know, some time to get up to speed as well. And so with that comes all of the pressure basically to say, Hey, you know, these are the things that I’ve been working on and how do I help to expose that visibility inside of my company? And so, there’s kind of levels of skills, if you will. And so it’s important to think about them in the right way.

Naomi Moneypenny (15:26):
So we’re not going to say something out of Project Cortex like, Oh, you’re also project management or you’re a scrum leader or something like that, right? It’s not that kind of skill that we’re looking for, but we are looking for the skill that says, Hey, Mary Jo, you worked on this particular project, in this particular area and can we help you to say, Hey, I want to make that visible inside of my profile so that I can have it be available to everybody else in the company. And so prompting you around, you know, how we can help you to keep your profile up to date, how we can make your skillset more visible so that your expertise can be used across the organization. There’s definitely an important component there.

Mary Jo Foley (16:00):
Okay, that’s great. Chris Walsh had a second question on Twitter. He wants to know how is Cortex going to integrate into existing products? And he said, if users have to go to this and manually post quote knowledge, it’s going to be a failure from day one because you need to be able to tag things and SharePoint Teams and such with a keyword. And I think that’s how that is going to work, right? With the managed metadata that you’re building in.

Naomi Moneypenny (16:30):
Yeah. So there’s lots of things. Great prompt Chris. So I appreciate that question for sure. So yes, we do believe that if you have to go into one single place it’s definitely not going to be a great experience. So we want to make this available across what you’re doing in Microsoft 365. And that’s why it’s really so important to embed these experiences into the things that you use every single day. So if I’m in Microsoft Word or if I’m in Teams or if I’m in Outlook or if I’m in SharePoint, I should be able to see, you know, little highlights that come up, right? And if I don’t know what an acronym is inside of my company, I should be able to easily highlight over that and be able to say, here’s a topic card and that topic card should just come up and I should just be able to understand what that topic is all about and projects and resources, et cetera, and then be able to click through, into a topic page.

Naomi Moneypenny (17:16):
And so that’s one of the things that’s really important to what we’re doing with Cortex and that’s why it’s this availability of being able to use this across the Microsoft 365 suite that we think is really fundamental to that experience. So we want to do those things. And then yes, on the management of data side, there’s a few things that we’re doing both from a service capability level to build on what we already have inside of the suite and then additional capabilities that we’re building on there as well so that all of these things can, can come together.

Mary Jo Foley (17:44):
Okay, great. Treb Gatte, I’m not sure how he pronounces his name, on Twitter asked about the AI that’s in Project Cortex. He actually said how many different types of AI are in Project Cortex. And I know I’ve seen you guys talk about things like AI builder as a way to upload things like PDFs and files. And then I heard about, I think this is a Microsoft research project, code name Alexandria, which is about converting knowledge based facts into unstructured text. So I know you’ve got lots of different parts. I mean, I don’t know if you can quantify it, but could you go through some of the AI specific pieces of it?

Naomi Moneypenny (18:26):
Sure. So that’s a great question. And there’s a lot of different tech. I’m not sure I’ve ever stopped to like count and say this is how many methods we have. But yes, we start at the end user level, right? Cause it’s easy for us to imagine there. There’s a few things that are going on. So, for example, the highlighting technology that shows, you know, a topic within an email or within a Team’s message or a SharePoint webpage that’s a certain type of technology, right? It’s actually a deep learning model that understands what Mary Jo is working on and thinks about like, what kind of things do we want to highlight there on the page that is specific for you. And to be able to bring that to you there. So this is a type of technology right there.

Naomi Moneypenny (19:05):
And then as an end user, as I mentioned earlier, if you’re, you know, project manager or something inside your organization and you want to build your own custom model to help you process the information that’s coming into your company. So things like a form, if I was going to do forms recognition on there, if I was coming in with a bunch of, you know, legal agreements or business contracts and I want to be able to extract metadata from there as well. So there we have two sets of technologies there. So one is that connection over to the Microsoft Power Platform, which is called AI Builder. It’s a service, it’s in preview right now and will be GA-ing very soon themselves. And so they use some great technology there from our Azure folks. And so they actually provide a great interface for that. And so we have that connection there.

Naomi Moneypenny (19:46):
So you can build your own custom model to help you process a form and be able to extract that information. And then we’re using a set of capabilities from the Azure team around understanding how to process documents and understand documents that are very unstructured. So it’s like the complete opposite view, if you will, for a forms template and those areas too. So we have those pieces and then that unstructured content, we’re using a number of different technologies there to help you with that processing. So, combination of methods, sort of on the end user side. If you go the sort of the level deeper, we’re looking at things to really make it interesting from a technology perspective of using what technologies we think are the best for different areas. And so there’s a number of methods within machine learning.

Naomi Moneypenny (20:31):
So you can do things like probabilistic programming, which is what Alexandria is doing. Essentially is looking for facts inside of lots of documents to figure out if the evidence of a topic actually exists. And so you can learn a little bit more about it. We had a session last November on this. So you can actually mine through the individual topics or the individual resources I should say. So a piece of content, it can extract essentially facts across there and then it helps to make correlations. And then on top of that, we are doing a bunch of deep learning mechanisms, to actually look at these different models and how they can be used most effectively in there. And of course, all of that is built on top of what we have at the Microsoft Graph, which has its own set of machine learning tech inside of it as well, driving a lot. So there’s just, you know, different layers that all stack up together to help make it a great experience for what we need to do

Mary Jo Foley (21:22):
Okay. That’s great. I didn’t know there were so many. I knew there were a few, but I’m like, okay, there’s a lot.

Naomi Moneypenny (21:28):
No, we really, we really are. You know, it’s one of the wonderful things about Project Cortex is that you basically get to go across the whole of Microsoft, right? You get to go to Microsoft Research. You get to go to Azure, you get to go to the Bing team. And there’s all this amazing richness of technology in there. And really what we’re trying to do with Project Cortex is synthesize a lot of those so that it makes it really simple and really easy from an end user perspective. But behind the scenes there is a huge amount of technology that’s actually getting used to process all of this information and to use it for what it’s really great at and not just, you know, one thing. There’s no silver bullet as you know, in machine learning. And it’s really about how do I put the combinations of all of these models to work, and to be able to run it at the kind of scale that Microsoft needs to do for its customers.

Mary Jo Foley (22:11):
Okay, great. Let’s talk about timelines. This is, this is always something everybody wants to know when, when can I get all this stuff? And I saw that recently there, you’ve been doing these Project Cortex office hours and you shared that there’s going to be a whole rich set of APIs coming through the Microsoft Graph that you’re going to talk about at Build. So there’s one data point I guess, but, where else are we? Like where are we on the roadmap and is Microsoft still gonna release Cortex by mid 2020 or has that been pushed back a bit?

Naomi Moneypenny (22:45):
No we’re still saying mid 2020 for the whole release there. I don’t know the specific dates. Obviously we’ve had things moving around so you know, the whole COVID situation in the world that we have to be reflective and reactive to. And so we’re making sure that, we feel really prepped around that. But yes, our team is very much on track for the same delivery dates we talked about at Ignite.

Mary Jo Foley (23:06):
Wow. That’s impressive actually. Cause a lot of things have been getting pushed back, understandably.

Naomi Moneypenny (23:11):
Yeah. No, we’re trying to be reflective. We are also making sure that our customers are in a great place. Before we push out a whole bunch of new capabilities as well. So that’s the other piece of like we’re listening to the demands, we’re listening to the signals basically out there. Working with all of our great teams in our field as well to understand that, like, you know, once the, when’s the right time to do this?

Mary Jo Foley (23:31):
Hmm. So right now you’re in private preview. Will there be a public preview and then a GA or are you just gonna go from private preview to GA?

Naomi Moneypenny (23:39):
Yeah, I think we’re going to go from private preview to GA just because the timelines are aligning up to be that way. And we also want folks to, really opt in and have a great experience as part of the private preview. So we are expanding, as we mentioned on the office hours. We’re expanding out our private preview as well, very soon. And so we’ll have more and more customers that are available as part of that. And then when the technology is ready and we feel that the market timing is all good that’s when we will go to GA.

Mary Jo Foley (24:07):
Okay. I can’t forget this question and I know it’s very specific, but Patrick Smiths’ is asking when will you be supporting other languages beyond English? He asked specifically about Dutch and he said, we want to sell this to our customers, but we can’t if it’s English only.

Naomi Moneypenny (24:23):
Yeah, that’s a great question. So we got a lot of push on this as well. So I totally, totally recognize the push as well. So especially since somebody like me where English is not my first language. So, the sort of the area really that we’re doing with V1, so the V1 of Cortex is definitely English only. And I apologize for that. But, there’s also a limitation on what we can do with all of this machine learning technology that’s being used behind the scenes. And so most of the models in the world that exist from machine learning across many companies, not just ours. Have been trained on English only data. And that’s just the way it is. We keep expanding obviously on those things too. So we are looking at all of our colleagues, both in the Azure space and the Power Platform space.

Naomi Moneypenny (25:08):
We’re looking at other models that we’re using as part of the world to help with understanding when their timelines will be there. Our goal of course is to support all of the languages that Office supports. We’re a Microsoft 365 support. So that is absolutely our goal. We are working on that very hard. But we have to get all of these different technologies in the right place before we can say yes, this is available now in Dutch and wherever. And so, you can expect obviously more and more languages over time. But the V1 definitely is English only.

Mary Jo Foley (25:37):
Okay. We are out of time, Naomi, but I have to ask you now, what is your native language? I didn’t know English wasn’t your native language.

Naomi Moneypenny (25:47):
I have a couple, so I actually have a French mother, so she made sure that I spoke French first and then some Afrikaans after that. So that’s, it’s a funny thing. So, it’s definitely been a large journey in my life too. And I, I make some some major English mistakes sometimes too

Mary Jo Foley (26:06):
With all the technical content of the things I know you cover. I think it’s amazing English is not your first language, so. Well, thank you so much for doing this. Really appreciate it and very interesting. I’m super interested in Cortex so I can’t wait to hear more.

Naomi Moneypenny (26:23):
I’m so glad. I really, I really appreciate the time to talk to you as well, Mary Jo and to share this with your listeners cause I am so pumped about what we’re doing with Project Cortex. I think it will make such a big difference to folks. I think, you know, knowledge is something inherently you want shared across your organization. And then being able to have some of these great tools and techniques available, I think will really make a big, a big difference in any economy even, especially in this one.

Mary Jo Foley (26:50):
Great. And for everyone else listening to this podcast right now, all you MJF Chat readers and listeners, I’ll be posting more information soon on Petri about who my next guest is going to be. Once you see that, you can submit questions on Twitter directly for that guest. In the meantime, if you know of anyone else or even yourself who might make a good guest for one of these chats, please do not hesitate to drop me a note. All my contact information is available on Petri.com, thank you.

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