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The new frontier: Virtual personal assistants (VPA)
    Akshay Raghoji, Asst Consultant, Strategy & Marketing Group
Introduction

Have you ever wondered what it would be like to have             The real challenge today is internet world has become
someone like Reginald Jeeves from P.G. Wodehouse novels          information intensive, users have many diverse needs
who is ā€œpersonal gentlemanā€™s gentlemanā€ (valet) serving          and importantly there is paucity of time. This is where
you. He would assist you in every chore, one who                 personalization, where all user searches are tailor
understand every idiosyncrasy of you (how much slat in your      made according to one needs comes to play.
side dish, what side of your brows bread to toast, etc), a       Personalization requires an understanding of both
shadow who unobtrusively connects several dots (calls up         implicit and explicit needs of the user, understand
your mother-in-law and thanks her for the wonderful (yak..)      what would probably fit the requirement with a degree
cake she sent yesterday or made reservations at the newly        of certainty.
opened Greek restaurant with expansive interiors, Page 3
crowd and stale food).                                           Personalization can be of two dimensional: context
                                                                 related and individual related. Context refers to the
.
While characters like Jeeves are becoming an extinct species     schema of current requirements, with what need or
amongst the service providers, servility is emerging in new      ask is information sought, when the information is
avatar on internet. With information nuggets spread loosely      sought, etc. For example, if one is searching for a
around the world, Search engines emerged as the interface        restaurant to dine, location, ambience, brightness,
between the users and the web. Recall, earlier search            quality, service, reviews, the surrounding and type of
engines were largely rule based (Yahoo, askit, etc) which        people go to the particular restaurant are all elements
appeared at the early stage of internet was basically to help    of context to what is being ā€œsearched forā€. On the
match user requirements based on tags that matched. Soon         other hand, individual dimension refers to userā€™s goal,
the search evolved from rule based to concept based. Google,     prior & tacit knowledge, past information seeking
which was the first to debut the concept based search            behavior, etc. Again in the context of searching for a
quickly, realized people may type heart disease and the data     restaurant, individual dimensions relate to how many
stored may be labelled as cardiac and hence the two data         times has the user looked at similar places, what type
schemas are related. Each search outputs are often generic       of ambience skewed his consumption, what location or
and based on the key words used by the user and the tags         recommendation has tilted his choice are indicators of
associated with the material stored on any site. Hence, there    whether the user would consumer a particular
could always be what economistsā€™ term ā€œinformation               information and how predictably.
asymmetryā€. The search can throw up broad based results          Most personalization algorithms therefore work on
which may be relevant, but not exactly matching the              historical choices made (use belief functions or other
requirements of the user. The key words used may be not          AI frameworks to capture what the user chosen
exhaustive enough to locate and pick the data, or the creators   previously) and association (to predict the most likely
of the contents could have themselves tagged inappropriately     information source or schema the user would
or inadequately. Hence, the retrieved information WebPages,      consume). As with Jeeves, the more historical data
Links, images, and Documents, may sometime suffice the user      and trends allow the programs to detect the latent
requirement, but will not satiate the demand.                    need and predict right choice.
VPAs are programs based on artificial intelligence and other       Initially, the focus of VPAs has been on broadband and
technologies help in search the web, text or reach out to a           internet markets.       However, with mobile platforms
contact, get recommendations from experts or friends, avail           growth surpassing desktop and other devices, most of
coupons and discounts and complete a need. They help time             the VPAā€™s are making themselves available on mobile
constrained professionals to manage their voice-mails, emails,        platform. The game changer in the mobile world
send request for meeting or schedule meetings and other               happened with Apple acquisition of Siri and
tasks. VPAs access information residing on the internet,              redeployment of it as a voice recognition assistant. This
intranet or social networks of their user and other devices           clever ploy by Apple is to ward off other platform
(handhelds, etc) or database. They manage the userā€™s contact          vendors like Google gaining tractions through their voice
mail list; have historical data of who from these lists have          search products and offer a cool feature to ā€œno buttonsā€
been messaged to get particular information (Beth for                 iPod generation. Siriā€™s addition was the low risk feature
Halloween costumes for your son and Brian for best Irish Pub          Apple could introduce into the market as the product
in the city).                                                         was robust. Moreover, by positioning it as a voice search
                                                                      feature Appleā€™s strategy was to get high early adoption
VPAs are aware of temporal and social context in which a task         rates that could be later extended and monetized on
is initiated. They are enabled to offer conversational interface      VPA. While Siri has caught the early fancy of users,
that is they can talk back whenever a sub-task is done or a           products like myBantu, Iris have the potential to emerge
task needs further approval. They reside in the personal              as the killer products on Android platforms.
devices of the user, have access to this data and learn to use
the tasks overtime to uncover the ā€œindividual tasteā€ of the         VPAs are quickly integrating all communication media to
user and serve him better. Fundamentally, VPAs can do               provide all presence functionality. Mybantu works on
things for you (tasks completion, say a search the best dress       Skype account. VPAs on mobile are just emerging. Siri on
to my secretary..), get the right information what you seek         Iphone 4s, is good at search. Requests for restaurant
(understands you trust your momā€™s recommendations of                location or flights between Boston and Chicago the results
Pickles for the Hot Dogs much more than what Food                   were good. However, if the user is looking for advanced
magazines say), and get to know you better (learn you prefer        search options, Siri is yet to evolve. When you want to gift
to seek info about the club activities from your mom-in-law to      baby stroller to oneā€™s niece under $100 or Halloween
make her feel important, while you always go with James             costumes under $5, myBantu does better. Siri is good at
your colleague). The values VPAs bring are: time savings, get       natural     language       processing    (very    close    to
tasks done, get actionable recommendations (both generic            Naturallyspeaking and other software on desktop) and its
web based and personalized recommendations from your                interactive dialogue is impressive. Siri search results are
trusted friend) and maximize work-life balance.                     very impressive across the categories of dining, travel,
                                                                    stocks, music. Siri is yet to completely integrate the supply
VPAs have evolved from repetitive tasks oriented ones where         chain vendors to complete the transaction. As an
learning is minimum (ex: Get Friday, hi Task, etc), specialized     infomediary, it fetches info on ā€œquick grab near officeā€ orā€
vertical focused ones (Rearden, Dothomes, Pageonce, etc to          view dining places on mapā€.
smart, history embedded programs like Siri, Glomantra,
hunch, etc. While some of the VPAs have remained more as            However, it canā€™t get you the coupons for the
recommendatory engines (search and fetch most appropriate           recommended dining place or big bite at uncle Mac. On
piece of information) some other are evolving into search and       the movies front, Siri presents the exhaustive lists of
fulfilment (myBantu which completes the search, evaluation          movies, lets you book for tickets at favourite movie hall,
to task completion). With addressable market in US estimated        got generic reviews from net. However, if you are
to be $1.54 billion and with the acquisition of Siri by Apple the   endowed with an Aesopā€™s wife and you do not wanted to
VPA market has turned hot.                                          risk your wifeā€™s ire, by taking her to movies when you could
                                                                    not vouch for source of the reviews.
That is where, myBantu fares better. Its product categories                      Conclusion
may not be very large, but in the categories it operates the
customer request are all completed: from search to                               Personalization is emerging as ubiquitous feature on both
fulfilment. It could fetch the reviews about a diner or a movie                  web and hand-held platforms. Early success of Siri on
from the sources one knows & trust (friends and colleagues)                      iphone 4s indicates the market is in nascent stage. Initial
and if in doubt sends informs to the wife or her aunt for buy-                   deployments are around user search support and later the
in and approval.                                                                 companies would position the product to not just search,
                                                                                 but evaluation, negotiation and task closure. With
The party to personalization has just begun. With HP plucking                    increasing personalization, markets may not fragment but
Autonomy and Oracle gobbling Endeca the signals are clear.                       self-selection of communities may occur. It is an exciting
The evolution of IT is moving from infrastructure to                             period of innovation, newer and multiple Appleā€™s may
intelligence era. The giants who built their billion dollar                      blossom in future. The wait is exciting.
business peddling infrastructure products servers, storage
and software (DB, etc) have recognized the next phase of IT
play would be in enabling organizations to intelligently seek
out the nuggets of insights from mountains of data created.
Coming days would witness enterprise search Czarā€™s acquiring
more taste to VPAs to enhance their revenues.           While
economic equality happens or not, all of us could end up
having a valet on our mobile. That is a Jeeves for everyone.
Karl Marx would be really happy with the servitude
capitalization.




 Browne & Mohan insight are general in nature and does not represent               Ā© Browne & Mohan, 2011. All rights reserved
 any specific individuals or entities. While all efforts are made to ensure
 the information and status of entities in the insights is accurate, there can     Printed in India
 be no guarantee for freshness of information. Browne & Mohan insights
 are for information and knowledge update purpose only. Information
 contained in the report has been obtained from sources deemed reliable
 and no representation is made as to the accuracy thereof. Neither
 Browne & Mohan nor its affiliates, officers, directors, employees, owners,
 representatives nor any of its data or content providers shall be liable for
 any errors or for any actions taken in reliance thereon.

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Virtual personal assistant (VPA)

  • 1. The new frontier: Virtual personal assistants (VPA) Akshay Raghoji, Asst Consultant, Strategy & Marketing Group
  • 2. Introduction Have you ever wondered what it would be like to have The real challenge today is internet world has become someone like Reginald Jeeves from P.G. Wodehouse novels information intensive, users have many diverse needs who is ā€œpersonal gentlemanā€™s gentlemanā€ (valet) serving and importantly there is paucity of time. This is where you. He would assist you in every chore, one who personalization, where all user searches are tailor understand every idiosyncrasy of you (how much slat in your made according to one needs comes to play. side dish, what side of your brows bread to toast, etc), a Personalization requires an understanding of both shadow who unobtrusively connects several dots (calls up implicit and explicit needs of the user, understand your mother-in-law and thanks her for the wonderful (yak..) what would probably fit the requirement with a degree cake she sent yesterday or made reservations at the newly of certainty. opened Greek restaurant with expansive interiors, Page 3 crowd and stale food). Personalization can be of two dimensional: context related and individual related. Context refers to the . While characters like Jeeves are becoming an extinct species schema of current requirements, with what need or amongst the service providers, servility is emerging in new ask is information sought, when the information is avatar on internet. With information nuggets spread loosely sought, etc. For example, if one is searching for a around the world, Search engines emerged as the interface restaurant to dine, location, ambience, brightness, between the users and the web. Recall, earlier search quality, service, reviews, the surrounding and type of engines were largely rule based (Yahoo, askit, etc) which people go to the particular restaurant are all elements appeared at the early stage of internet was basically to help of context to what is being ā€œsearched forā€. On the match user requirements based on tags that matched. Soon other hand, individual dimension refers to userā€™s goal, the search evolved from rule based to concept based. Google, prior & tacit knowledge, past information seeking which was the first to debut the concept based search behavior, etc. Again in the context of searching for a quickly, realized people may type heart disease and the data restaurant, individual dimensions relate to how many stored may be labelled as cardiac and hence the two data times has the user looked at similar places, what type schemas are related. Each search outputs are often generic of ambience skewed his consumption, what location or and based on the key words used by the user and the tags recommendation has tilted his choice are indicators of associated with the material stored on any site. Hence, there whether the user would consumer a particular could always be what economistsā€™ term ā€œinformation information and how predictably. asymmetryā€. The search can throw up broad based results Most personalization algorithms therefore work on which may be relevant, but not exactly matching the historical choices made (use belief functions or other requirements of the user. The key words used may be not AI frameworks to capture what the user chosen exhaustive enough to locate and pick the data, or the creators previously) and association (to predict the most likely of the contents could have themselves tagged inappropriately information source or schema the user would or inadequately. Hence, the retrieved information WebPages, consume). As with Jeeves, the more historical data Links, images, and Documents, may sometime suffice the user and trends allow the programs to detect the latent requirement, but will not satiate the demand. need and predict right choice.
  • 3. VPAs are programs based on artificial intelligence and other Initially, the focus of VPAs has been on broadband and technologies help in search the web, text or reach out to a internet markets. However, with mobile platforms contact, get recommendations from experts or friends, avail growth surpassing desktop and other devices, most of coupons and discounts and complete a need. They help time the VPAā€™s are making themselves available on mobile constrained professionals to manage their voice-mails, emails, platform. The game changer in the mobile world send request for meeting or schedule meetings and other happened with Apple acquisition of Siri and tasks. VPAs access information residing on the internet, redeployment of it as a voice recognition assistant. This intranet or social networks of their user and other devices clever ploy by Apple is to ward off other platform (handhelds, etc) or database. They manage the userā€™s contact vendors like Google gaining tractions through their voice mail list; have historical data of who from these lists have search products and offer a cool feature to ā€œno buttonsā€ been messaged to get particular information (Beth for iPod generation. Siriā€™s addition was the low risk feature Halloween costumes for your son and Brian for best Irish Pub Apple could introduce into the market as the product in the city). was robust. Moreover, by positioning it as a voice search feature Appleā€™s strategy was to get high early adoption VPAs are aware of temporal and social context in which a task rates that could be later extended and monetized on is initiated. They are enabled to offer conversational interface VPA. While Siri has caught the early fancy of users, that is they can talk back whenever a sub-task is done or a products like myBantu, Iris have the potential to emerge task needs further approval. They reside in the personal as the killer products on Android platforms. devices of the user, have access to this data and learn to use the tasks overtime to uncover the ā€œindividual tasteā€ of the VPAs are quickly integrating all communication media to user and serve him better. Fundamentally, VPAs can do provide all presence functionality. Mybantu works on things for you (tasks completion, say a search the best dress Skype account. VPAs on mobile are just emerging. Siri on to my secretary..), get the right information what you seek Iphone 4s, is good at search. Requests for restaurant (understands you trust your momā€™s recommendations of location or flights between Boston and Chicago the results Pickles for the Hot Dogs much more than what Food were good. However, if the user is looking for advanced magazines say), and get to know you better (learn you prefer search options, Siri is yet to evolve. When you want to gift to seek info about the club activities from your mom-in-law to baby stroller to oneā€™s niece under $100 or Halloween make her feel important, while you always go with James costumes under $5, myBantu does better. Siri is good at your colleague). The values VPAs bring are: time savings, get natural language processing (very close to tasks done, get actionable recommendations (both generic Naturallyspeaking and other software on desktop) and its web based and personalized recommendations from your interactive dialogue is impressive. Siri search results are trusted friend) and maximize work-life balance. very impressive across the categories of dining, travel, stocks, music. Siri is yet to completely integrate the supply VPAs have evolved from repetitive tasks oriented ones where chain vendors to complete the transaction. As an learning is minimum (ex: Get Friday, hi Task, etc), specialized infomediary, it fetches info on ā€œquick grab near officeā€ orā€ vertical focused ones (Rearden, Dothomes, Pageonce, etc to view dining places on mapā€. smart, history embedded programs like Siri, Glomantra, hunch, etc. While some of the VPAs have remained more as However, it canā€™t get you the coupons for the recommendatory engines (search and fetch most appropriate recommended dining place or big bite at uncle Mac. On piece of information) some other are evolving into search and the movies front, Siri presents the exhaustive lists of fulfilment (myBantu which completes the search, evaluation movies, lets you book for tickets at favourite movie hall, to task completion). With addressable market in US estimated got generic reviews from net. However, if you are to be $1.54 billion and with the acquisition of Siri by Apple the endowed with an Aesopā€™s wife and you do not wanted to VPA market has turned hot. risk your wifeā€™s ire, by taking her to movies when you could not vouch for source of the reviews.
  • 4. That is where, myBantu fares better. Its product categories Conclusion may not be very large, but in the categories it operates the customer request are all completed: from search to Personalization is emerging as ubiquitous feature on both fulfilment. It could fetch the reviews about a diner or a movie web and hand-held platforms. Early success of Siri on from the sources one knows & trust (friends and colleagues) iphone 4s indicates the market is in nascent stage. Initial and if in doubt sends informs to the wife or her aunt for buy- deployments are around user search support and later the in and approval. companies would position the product to not just search, but evaluation, negotiation and task closure. With The party to personalization has just begun. With HP plucking increasing personalization, markets may not fragment but Autonomy and Oracle gobbling Endeca the signals are clear. self-selection of communities may occur. It is an exciting The evolution of IT is moving from infrastructure to period of innovation, newer and multiple Appleā€™s may intelligence era. The giants who built their billion dollar blossom in future. The wait is exciting. business peddling infrastructure products servers, storage and software (DB, etc) have recognized the next phase of IT play would be in enabling organizations to intelligently seek out the nuggets of insights from mountains of data created. Coming days would witness enterprise search Czarā€™s acquiring more taste to VPAs to enhance their revenues. While economic equality happens or not, all of us could end up having a valet on our mobile. That is a Jeeves for everyone. Karl Marx would be really happy with the servitude capitalization. Browne & Mohan insight are general in nature and does not represent Ā© Browne & Mohan, 2011. All rights reserved any specific individuals or entities. While all efforts are made to ensure the information and status of entities in the insights is accurate, there can Printed in India be no guarantee for freshness of information. Browne & Mohan insights are for information and knowledge update purpose only. Information contained in the report has been obtained from sources deemed reliable and no representation is made as to the accuracy thereof. Neither Browne & Mohan nor its affiliates, officers, directors, employees, owners, representatives nor any of its data or content providers shall be liable for any errors or for any actions taken in reliance thereon.