MIKAEL SVENSON: Hi, my
name is Mikael Svenson and I work at Microsoft Search. With me today, I also have
my colleague Jyoti Pal. The topic today is about moving from the classic search experience over to Microsoft Search. We'll cover why Microsoft
Search is the way forward and also how to move some of
the classic search scenarios and capabilities over to Microsoft Search. JYOTI PAL: Thanks, Mikael. Hello, everyone. My name is Jyoti, and
today we'll be talking about Microsoft Search. So first off, let's get started with why you should be
choosing Microsoft Search. Today's modern workplace is changing. You have a lot of people
who are doing work from different places, using the same tools and application. To be productive, one of the
key things that is required is to find information easily and quickly. And so this, you need
an intelligence search. With Microsoft, the guiding principles for this intelligence search, which is Microsoft Search, is the fact that it has to be ubiquitous, it has to empower people to
be able to be productive, and it does that by being actionable, as well as it has to cater
to your organization needs. So you should be able to
tailor the Microsoft Search according to your needs, and it should do all of this while adhering and
aligning to the principles of security and privacy in Microsoft 365 Now, several of you are already using classic shop on search, and you'll be thinking
about how it compares to Microsoft Search. So let's actually have a look at that by looking at some of the key principles, or like we say, key factors, which will help you figure it out what did the difference
between these two is. To start with, before we go into any of the specifics, let's actually look at the foundation of Microsoft Search and AI, which is based on Microsoft Graph. Now, what is Microsoft Graph? In simple terms, it's a connected brain of world knowledge,
organizational knowledge, which is information in your organization, as well as individual knowledge. It has rich signals from applications, like Office, Bing, as well as Windows, and it has a repository of huge amount of information and signals. Now what all of this does is gives us a capability
of drawing patterns, which let us gain valuable insights and create experiences for you. Now, the question is, how is this relevant for Microsoft Search? So let's get to that. As a first point, let's look at personalization analytics. When you think about Microsoft Search, it has personalized results
based on who you work with and the documents you work on, because that's really relevant
for your daily work life. Apart from this, you have a relevant
results which are provided using Microsoft Graph. So in simple terms, think of
it as your working patterns, people you work with, your usage patterns, and various other signals like these, which are used to the domain and show you relevant results. Lastly, you also have answers. Now answers are a quick
way of finding information, which again means things
much more actionable for you. We also have AI-driven answers. So essentially answers are mined out of the information which is present in your organization. So this is Microsoft Search. Next, actually look at
what classic search has. When it comes to classic search, it has the same relevance for every one. It has one size fits all, which may not work out well for people with really diverse mass product. Apart from this, you also have the fact that it lacks the quickly
refined capabilities and navigation from search box. Some of these are things
which we'll show you in a bit. You also have the capability
of manually targeting in case of classic search. So if you want to target something, like, let's say, promoted results, you do have that capability. However, from our telemetry, we actually see that
it's barely being used, it's difficult to set
up, and it's cumbersome. And you also have to
capability of creating answers when it comes to classic search. But again, it's manual, it doesn't have the AI power behind it. Holistically, if you look
at the complete picture retrospective
personalization and elements, Microsoft Search is much more personalized when compared to classic search. So let's look at the
ubiquity of Microsoft Search. The reason this is important is, again, going back to modern workplace where you have people using
different types of applications and tools to get the work done. Even within an organization, you could have one group of
people which uses some set of applications heavily, and you could have another
group of people which uses a completely different
set of applications. One of the key challenges that
actually comes in over here is the fact that when you're working and you have to find some information, you have to leave that
particular application and go elsewhere to search. This causes an interruption
of your workflow and results in lower productivity. With Microsoft Search in
Microsoft 365 products, we bring search to where you are. We have an underlined. So this called as
Microsoft Search service, which powers the search experience
in Microsoft 365 product in Microsoft 365 products. If you think about Word, Excel, Outlook, Office.com, Teams, and many more, the same service is being used to follow the search experience. And as a result, you can get a search
consistently, coherently, and moreover, with less interruptions. When you think about
classic search against this, classic search is available
in primarily SharePoint, as well as One Drive. So in this case, you still have a lot of introductions which are introduced when you're actually
searching for information, which it might be the case. So let's actually have a look at how all of this plays
out in real scenarios. So let's go over to a demo
of personalized search and also of ubiquity of Microsoft Search. Let's take the example
of Contoso Electronics. This is an organization
that a lot of employees use SharePoint Home
amongst either products or to search for information. Over here, we have Megan, who is an employee, who works on market project. In this case, she's looking for an Excel
file related to market that she had been working
on a few days ago even, and she had closed at sometime back. Now she wants to go ahead
and locate it again. So let's see how she
goes about doing this. So on this particular SharePoint homepage, she'll firstly head to the search box. And even before she
starts typing anything, she sees a set of suggestions. Now these are based upon
what she has been doing in the past, based on personalization, and also based on who she could
potentially be working with. So in this case, it's a very easy and quick
way of actually finding things that she's looking for. In case what she's
looking for is not present in these suggestions, then Megan can go ahead and
start typing in her keyword. Now, again, you will see
that these set of suggestions are being refined as Megan types. Now here is the actual Excel file that Megan has been looking for. And in this case, she can just directly click
on it and find the Excel file and start working on it. But let's just go ahead
and hit enter over here and see what is her search result page experience that she sees. So as soon as Megan hits enter, she's taken to the search page experience where she sees a set of results. Now you may notice over here that there is a card which is explaining what the Contoso market project is, but this is not what she's interested in. And as you browse through the results, she notices that the Excel file that she has been looking
for has the third result. So she's able to find
the exact information that she's looking for over here. Now let's head over to the
classic search experience and see how Megan can
perform the same search. When you go to the
classic search experience and go to the search box over here, the first thing you might notice is that there are no
suggestions present over here based on personalization. So in this case, Megan
will again type in market, which is something that she
had typed in earlier as well, and hit the search. And she'll see a list of search results that are available to her. As we browse through these, we will notice that these
are certainly relevant. Most of them, in fact, probably all of them are talking
about the market project, but they're not the file that
she has been looking for. Let's actually head
over to the second page and see if the file is found over there. As we scroll through, we see that the file is still not found despite the fact that Megan
had been working on it just a few days or a few hours back. So let's just make this particular keyword a bit more precise to see if the result can actually be seen. And as soon as we do that, we do see that the file
that Megan is looking for is actually there and can be found. So as you may have noticed over here, although classic search also
has the same set of results, the Microsoft Search
prioritizes the search results based on what you have been working on and the relevance and personalization is actually much better for you. Let's head over back to Microsoft Search. Let's think about another case. Now, Megan has also been asked to work on a new project called TEE. To begin with, Megan is not
really sure what that means. Now, the research can help her over here is if she goes ahead and says, "Define TEE," and hit send. Let's see. And this is what she sees. This is an answer where
a set of expansions for the TEE acronyms have
been provided to her. There are different ways
using which these acronyms have been created. If you see the top one, this is extracted from a file
called Entity Extraction, which Megan has access to where it's suggesting that
the possible expansion could be text entity extraction. The second one is published
by her organization, which explains that TEE could also mean Trusted Execution Environment, and it provides a definition for the same. The third one, similar to the first one, is extracted from an email, which also has another
possible expansion for TEE. In an organization, an
acronym can actually mean multiple things depending on
the team, the work, et cetera. So you may notice that over here, this experience allows Megan to learn more about what TEE is and to get started with her work. The extractions over here for
the first and the third result are driven through AI and they
are based on the documents or the content that the employee, in this case Megan, has access to. This is great. Search is definitely helping Megan, but it does make Megan
always have to come here to SharePoint to actually
find this information? What if instead of searching this, somebody had actually just
shared a document with Megan, which spoke something about TEE. So I do have a document over here. So now this is a document which
has been shared with Megan, which speaks about TEE. Now Megan should be able
to find the expansion or the possible meanings over
here in this document as well, and she can do that. So in this case, in the header, Megan goes to the references
and then two acronyms. And when she does that, she can find the same set of information that she found in the search result. Due to this, you can understand that Megan is able to receive information and do search right from where she is, and she does not have to
leave her current context to go somewhere else is
to interrupt her workflow. A similar experience is in fact present when somebody is searching from Bing. So here, I am in Microsoft Search in Bing, and the same sort of
experience is available over here as well. In case you are doing
this from Office.com, the same experience would
be available to you again. As a result, you can see how
Microsoft Search is present across multiple Microsoft products, which helps you stay in context
and find the information that you're looking for without
interrupting your workflow and while staying productive. So these were a few
elements of Microsoft Search where you saw the importance
of personalized search, as well as ubiquity of Microsoft Search and how it adds to your productivity. There are many more like this, and for this, I would like to hand over to my colleague, Mikael. MIKAEL SVENSON: Thank you, Jyoti. That was a great set of demos. When we talk about Microsoft Search, we also have to talk about the content because without any content,
there is nothing to search. For classic SharePoint's search, content was more or less
limited to One Drive and SharePoint content. There's also the ability to use the cloud hybrid search option, which tells you to have a
SharePoint on premises server, which can then index either
your own premise of SharePoint or some other line of business data, like a file server or database and push that content
into the cloud index. So this option is already there, it's supported, and you
may continue to use it on that data shopped in Microsoft Search. For those who have used that option, you might think that it's a bit cumbersome to set up, and we agree. And that's why we have also created something called Graph Connectors. We have a third Graph Connector right now, for example, for a WebCrawler
database or [indistinct] which makes it easier for
you to set up indexing of those line of business data. There's also a graph
connector developer API, which means you can create
your own graph connectors. If you have some custom source, which there is a connector already built, you might build it
yourself and push that data into our cloud index, or you may contact one
of our connector partners and purchase [audio cuts out] from them. In addition to the third party scenario, we're of course onboarding more
and more first party content where teams on Yammer
might be good examples. They have always had
their own built in search, but there are now part
of Microsoft Search, which allows the data to be searchable outside those client applications. So this means that you
could be in one application that could be in SharePoint
search, Office.com or in Word, Excel, PowerPoint. And when you search for something, in addition to just getting filed from One Drive and SharePoint, you might also get the
relevant Teams conversation, Yammer conversation, or
even power BI reports. People search has always
been an important part of the enterprise search. We acknowledged it by and our building new search experiences, centering around people as
the way to find content. Where you previously had to go to Dell to look at a person's profile or see what content they are working on, you can now do this directly
from Microsoft Search. And to further built
on the entity concept, we are providing quick
refined capabilities directly from the search boxes itself. Microsoft Search also
acts like the promoted with full capability and classic search to also include search
on office locations, employee seeding, we
have AMI and acronyms, which Jyoti showed, and also connecting content
with a person's expertise through product cortex on who knows what. So now, it's time to do some
demos to look at these features and see some of the comparisons
between the classic search and Microsoft Search. So this is a classic search experience, the search center. I'm going to search for
something called Mark Eight. So Mark Eight is a drone, since our company is working
with the drone manufacturing. So, see I get some such suggestions here. So let's start clicking search and you get your regular view with fairly the same ranking for everyone of these results. We get some videos, we get some word documents, and the different items. And on the left hand side,
we have some result types, and we also have an author refiner. And now if I open up a new tab, so since this is the Edge browser and I'm logged in, this actually gives me a direct access into Microsoft Search in Bing. So, let me search for Mark Eight. So here at the top you see
I have some work results. I have an answer, which
is actually a bookmark, or I can see older results,
or I can click the work tab. So let me quickly click
see all the results, and this takes me to the work vertical. So these are all secure
and there's nothing here going over to Bing. So at the top pair, I have a bookmark, which is similar to watching classic-culled promoter results, which is far easier to manage. It's a bookmark in Microsoft Search, compared to the query rules. So for anyone who has managed more than about 10 query rules or 10 promoter result, you know that it becomes quite a hassle to manage that. And the UI is slow, adding more editing. It's quite hard. And the results is more or less the same. I have some videos, documents, et cetera. But on the left hand side, you see I also have some new verticals. So the conversation vertical
is, as I've talked about, Yammer and Teams results. So here's me actually talking about the Mark Eight prompt in both Teams and Yammer, since I'm logged in as Emily. And if I go to service now, so service now is one of our
first party graph connectors, allowing it to connect to service now. So I have some
knowledge-based articles here for service out, and the top one, some
maintenance guideline for the Mark Eight prompt. So let me go into a similar
search experience in SharePoint for the latter search. So this is me not typing any queries. So if I enter the search box, I start getting some suggestions right off the bat without typing anything. So these are just ways
for me to quickly get back into different documents and see, well, so I can get into the
Mark Eight user study. That's apparently relevant for me, and I recently viewed that document or people I work close with. So let me do the same search query. Mark Eight. So I see the same bookmark on
top, and then the same result that I saw from Microsoft Bing. And then, I also have the same vertical. So if I go to service now, that's the same results
I saw for that connector. And as I told you, we're adding
more visual view to images, but I also get images there, and also see I get the size, and I get the dimension for these files, making it a lot easier to
actually navigate the images. We're also adding more tagging to images. So that means we can extract
what's actually in the image to get more recall on the images, just outside the actual actual file name. So that's one pivot. So going back to the landing page, so search for a Mark Eight again. So I want to compare the
classic and modern experiences. So if I go to the classic. So here, I have an author refiner, which is pretty much built up on the creator of the
file or the last modifier, and then aggregated across
all the results you get back. Now, if you look at the right hand side where I have something called
people who wrote about, so people wrote about Mark Eight, so this is actually built a bit different, and what it does is it looks at all the documents coming back, but you don't necessarily
have to be a creator or the last modifier. You could be one of the
modifiers in documents. So, say is that if we take
this user-started document, so say four people have
collaborated on this document, and then Ellen might
have been the second one. That means, so his signal would be lost after someone did an edit after him, but it's actually captured
as part of the graph signals, and that's also being used back in search. So when we bring back all the items there, we can actually aggregate
across any contributor to document and not just the
creator or the last modifier, which greatly improves what you see. And also we're not just
looking at the total number of contributions across all the content, because that could be
years and years of content. So looking at the personalized
documents coming back, which you might have more relevance to, and then bringing people up. So that means the experts
here on Mark Eight might be people you know more than the general author or refiner. So going back to the search box. So let's start to look for the person, as I talked about before, as a pivot to find content. So if I start typing Adele, you see I have Adele
Vassar, a colleague of mine. So when I click Adele, you see we have this people bill on top. That means we see items around Adele. So we have content, contact, organization, calendar, and office. So pretty much something you previously would have
gone to Adele to see. That meas the content here is content Adele has worked
on or contributed to, same as the people who knows something about the
content at the previous demo. And this gives me a good
view of Adele's content. So I can also move to contact, which shows Adele's contact information. I can go to the organization
to see her organization chart, who's her boss, and who she works with. Or if I go to her office, I actually get a floor plan of where Adele's cubicle is inside of this plan. If I go back to classic, I can do the same thing
if I search for Adele. So I don't actually get a
match just on their first name. So let's go to the people vertical and here's Adele. When I hover over Adele, I see pretty much the same thing, but I see another
different set of documents using a different query. So it's not the same and
it's not as comprehensive or ranked in the same
way as modern search. So let's look a little
bit expertise search. So if I'm on the people vertical, and I search for, for example, sales, this will give me everyone
who works with sales. So I'm not sure if actually
work with one of these. That might be far off
me in the organization. So the difference is, so now if I go back to Mark Eight search, and I can find who knows about sales, I actually get Adele on top. So what this does, instead of just giving me a list, sorted on the old people
ranking in classic search. It looks at who I actually work with and gives me the right Adele, or the right person closer
to someone I work with. So in this case, it's Adele, clearly works with sales, which is probably the only one I work with who works in sales. And then if we look a
bit further down there, we also see we have Isaiah, it's already in the culture here. If there had been more, they would have been listed beside him. But he's in Samsung marketing, so he's apparently also a
person who works with sales, but it's not as close to me as Adele So that's why we highlight
Adele at the top. So that just showcases some of the classic functionality versus the new capabilities
in Microsoft Search, and hopefully it shows you
that using Microsoft Search is an easier and better way to finding back content and people, and also using people as
a pivot around content to get back to whatever you need to find. Thank you. Now that you seen some of the innovation and the new experiences we're doing, Jyoti will show you how you can move some of these classic scenarios
over to Microsoft Search. JYOTI PAL: Thanks Mikael. So far, you saw how Microsoft Search can be compared to classic search and all the capabilities
that Microsoft Search enables for you. And at this stage, if you're thinking about how you can move your current classic
SharePoint search set up to Microsoft Search, then let's talk about that. The first thing to think about
is the guiding principles that we think about when
we are trying to move the classic search set
up to Microsoft Search. The first one is that we focus on solving the customer scenarios. As a first point, before
we started talking, going deep into how the system, let's talk about the guiding principles that we are adhering to when talking about moving
from classic search to modern search. The first one is solving
the customer's scenarios. Wherein we are focused on
solving the pain points and the problems at the present in search, which very little, which we'll
address in classic search. The aim is not to have
a feature redone again in Microsoft Search, but to solve the problem that customer or people were facing. The second one is coherence, which is a key factor in Microsoft Search. As you have seen, Microsoft
Search is available across multiple different products. So a change which is done in
case of, let's say, SharePoint should be currently available
in other applications like Office.com, Bing.com, et cetera, so that people are able to experience the goodness of features across all of these
different applications. Keeping this in mind, today we are going to focus
on a couple of key features that we're talking about over here, then help you actually move your scenarios from classic search to modern search. They're going to be talking
about adding bookmarks, then also about
customizing your verticals, filters, and result layout, and also how search box in classic search, in some cases, has already
started with directing to Microsoft Search To understand how classic
search can be moved to Microsoft Search, let's first take an
example of an organization where you have classic search setup. The separate features offered
as a part of classic search have been used to create
the classic search setup, which is suitable for the
needs of the employees and the organization. And this particular organization, ContosoPharma, has an
employee called Victoria who is looking for
information on leave policies. In this case, she comes to the classic search page and looks for the information
by typing in her query in the search box and going
to the search result page. Once you see the set of searches results in the searches result page, you might notice that the
first result over here, called HR time of policies, talks about time off, and this is something that could satisfy the need of Victoria. Now in this case, Victoria
has used the keyword leave. Similar to this many other
employees in the organization might be using other
terms, such as vacation, time off, to actually look
for the same information, which is time off policies. The mismatch of the terminology
of time off and leave should not result in the employee not finding the right information and to ensure this, the
organization has added a promoted result where all of these
different types of keywords will still show the right result that the employees are looking for. The promoted result is one such feature that the organization has
used for classic search. The other feature that the organization and the employees use
predominantly is filters. On the left side of the page, you see different types of filters. An auto filter is something
which is specifically used by the organization to narrow
down their search results based on the person who has authored the documents, files, et cetera. So this is also used by
the organization a lot, and this is something that they would need if they were to move to
the Microsoft Search. Apart from this, the third aspect off search
that the organization has tweaked is related to
the type of information that the users can look for. Contoso team was a team
in the organization that was reorganized, and a new team called Mark
Eight team was created. The organization still
has some information present in the Contoso team site, however they want all the employees to start looking for the
current latest information related to the work on
the Mark Eight site. As a result, although they want people who have access to Contoso team site to go
there and look for information, they don't want the information to appear in the search results pages. To address this need, the organization has done some changes. Before that, let me show you what happens if I look for Contoso team. When I enter Contoso team
keyword in the search results in the search box, you will notice that I
do see a lot of results related to Contoso, but then the Contoso
team is not showing up. As a comparison, let me show you an equivalent
search in Microsoft Search for the same organization. Over here, you will notice that when I searched for Contoso team, I see the Contoso team site, which is not yet hidden from the users. Going back to the classic search set up, let me actually show you
how the setup is done. So the organization has
edited the search page and the web part for search and added a keyword query so that the Contoso team, so that the results from
the Contoso team part are no longer visible to the employees. These are the changes that
the organization has done to their classic search set up to make the setup very close to what the employees are looking for. Any equivalent of this can be achieved in the Microsoft Search set up using the current features that we have. To show you how those changes can be done, let me switch to the other screen. Over here, we are in the Microsoft 365 admin center of ContosoPharma, wherein we have Microsoft
Search administrative center. You can do a lot of changes over here. Let's talk about the first scenario that we actually want to
move from classic search to Microsoft Search, which is that when employees
search for different types of terms, like leave,
vacation, time off, et cetera, they're able to find the right result. In classic search, this was achieved by using promoted results. And in Microsoft Search, this can be achieved by using bookmarks. Bookmarks can be found under answers and in the bookmark section over here. Now, the first thing that
you might notice over here is that you already have a
list of bookmarks present. Managing and editing of bookmarks is very simple in Microsoft Search. One of the great cases
that you can have over here is if you have a long
list of bookmarks present, it's very easy for you
to search for bookmarks. So here, you have now only three bookmarks and you can select one of
them and start editing. For our case of having a
bookmark for leave policies, let's head over to this add button and click on add to get started. Once we get started, we see that adding a bookmark
requires you to enter some information like title, URL, bookmark description, and keywords. So let's take the reference
of a classic search where we already had a promoted result, and add similar information over here for this particular bookmark. Let's change this. So in our case, the title
was the chart policies. Let's do that, and scroll down, as well as we had a description, which is similar to what
we had in classic search. Now, as I'm starting to
add this information, you will see that the bookmark
has started updating on top. This gives you a visual representation of what the bookmark is going to look like in the actual search page, and you don't have to wait
and go over to the search page to see your bookmark view. Once I have provided
the basic information, the next step for me
would be to add keywords. As soon as I click here, I see that there are
certain suggested keywords, which are already present
based on the information that I have provided. I just go ahead and add these, as well as I add in my own keywords that I know that the employees
in the organization use. Once I have done this, I can look at the rest of the
settings that can be used. Couple of key things
that the Microsoft Search bookmarks allows you to do very easily is target the bookmark to
certain type of people. Now, this could be dependent
on a country or region. If the leave policies in
your organization vary from one region to another, you can curate the bookmarks to apply it to apply to this condition
where you get to select the type of the different countries or region where the given bookmark applies. Apart from this, you can also go ahead and select groups. So in case you want this bookmark to be visible only to
a certain set of users, based on the security groups, that option is also available over here. Once all the information
has been provided, you can go ahead and
publish your bookmark. In this case, we will not do so because the bookmakers already present as a promoted result in classic search, and as a result, it has already been added
to Microsoft Search. To see this, let's head
back to our other screen. Over here, this let's head back
to the Microsoft Search page that we have, and let's try the same keyword of leave and see if the bookmark
has been added or not. As you can see, although the bookmark that I was creating in the administrative
center was not published, I still have the bookmark that was added as a part of the classic promoted results. This is how you can
move your first scenario of showing top results from classic search to Microsoft Search. The others set of a scenarios
that we want to now address is first one, adding the
capability of searching based on author, and the second one being
adding the capability of hiding certain of results based on the query that has been added to the search page. Now for the second one, let me actually show you what
the search results look like when I search for Contoso team today. As you can see, you're are still seeing
Contoso team as a search result over here on top, and we are not seeing the
author filter over here, that makes it really easy for
me to search for documents based on the authors. We are now back to Microsoft
Search administrative center. After I think the bookmark
and looking at the bookmarks, let's now move to customization. Customizations are today
allowed on verticals. In the vertical stamp, the first thing that you might notice is the set of verticals like, all, file , sites, and people which are visible on your search result page that are also available on
your administration page. With this, you will have the ability to do some limited edits to these set of verticals as well. Projects is a vertical that has been added by the organization. Going back to our scenario
that we want to move from classic search to Microsoft Search, there are two key things that
we want to do at this stage, one is that we want to add a filter for author on the all page, and two is that we actually
want to remove the results from Contoso team sites so
that they are not searchable by the employees when they search for it from the search result page. So let's select the all
filter and start editing it. There are various aspects
which are available for edit, but I would like to get
started with the query. The query, which was used
in the classic search, can be used over here to
ensure that the results from the Contoso team site are not searchable on the all vertical. I can click on next and
go to the next step, which is adding of filters. This is also simple. Once you click on add a filter, your first a list of all the
refinable manage properties, which are present. For author, I want to select
the correct definable property, which is in this case display auto. Once I'm able to search for this property, I select display author
and go to the next step. In the next step over here, I can provide the name
that my employees see when they do the search. In my case, I would
like that to be author. I can also select the type of interface that the employees use. If it should be a single select, or if it should be a multi-select. Now, in case of author,
I know that employees, a lot of times, look for
multiple authors at the same time so that they can easily
find the documents. So I would select multi
select as the option over here and click on done. My filter, author filter,
has now been added, and I can go to the next step. With these two changes, I will update the all vertical. Once the all vertical is updated, we can go back to the search page to see if the changes have reflected. The vertical is now updated. So I click on done and we can
go back to the search page. So we are back again at our search page and we have made the changes. So let's just refresh the page and see if the changes
are actually reflected. Here you go. So what you see over
here is, if you remember, here you could actually see
the Contoso team result, which is gone now, and apart from that, you
also have this author filter, which has shown up. Now, if you click on author, you'll see all the various people who have contributed to the results, which are showing up over here, and you will be able to
go ahead and select these and refine your search page according to this. These are some of the key capabilities which will help you in moving your classic SharePoint
site scenarios to modern. Apart from this, some of the other key
experiences which are needed is to capability, firstly, of being able to change the result layout. So this capability was
something which was available in the case of a classic search, but it's not yet available
on Microsoft Search, but this is something which
we have started working on. And as a part of the
graph connectors work, you are today able to
customize the results that you see in your customer verticals. A similar capability will be available for content in SharePoint as well. The other thing that we have been doing to make sure that you
experience the goodness of Microsoft Search is redirecting the search box in case of SharePoint search pages to the Microsoft Search search box, because of which you will
be able to do the searches based on Microsoft Search. These are all the
capabilities that'll help you to move from classic
search to Microsoft Search. Today, we spoke about Microsoft Search, why you should choose Microsoft Search, and the kind of capabilities
that it offers to you in helping you be more productive. We also went over some scenarios, which if you're using classic search, will be needed to help you
move to Microsoft Search. In conclusion, if you look
at Microsoft Search today, it has a lot to offer. It is an intelligence search, which is powered by Microsoft Graph, it offers your personalized results, it adapts to your organization
and is constantly evolving as compared to classic search, where the evolution has, we can say, stopped a few years back. One of the key tenant for it is configure once and enable
your experiences everywhere. And lastly, it's also easier to manage. We urge you to give Microsoft Search a try and think about how you can actually use your current classic search
experiences to Microsoft Search. If you have any queries or questions for how this can be done, you are welcome to tweet at us or send us query on
the community channels. You also have this link shown over here, Wiki.MS/MicrosoftSearch, which is a good starting point for you. Thank you for listening to this talk and hope this has been
really helpful for you. Thank you.
