Analytics

Summary

Improve efficiency, transparency, and data integrity by summarizing sales calls and extracting important data

Topics

Extracts discussed topics

Numbers & Time

Detects and classifies numbers in various formats

Names

Identifies names in documents and conversations

Emotions

Detects emotions such as Happiness, Anger and Sadness

Summarize

Summarizes texts while retaining important information

Prospect  0:00
Hello.

Agent  0:01
Hi, Kiara. This is Almer with Acme. How are you doing?

Prospect  0:05
You're doing good from there. I didn't get it.

Agent  0:09
From Acme. We're an analytics platform I just was following up. It looks like you downloaded our whitepaper.

Prospect  0:15
Yeah. Look at it. Like.

Agent  0:22
Yeah.

Prospect  0:23
But I really didn't get a chance to look at it yet.

Agent  0:27
Yeah, no problem at all I just wanted to call to see, you know, if this is something that you're interested in, we could set up like, you know, 10 minutes for me to answer any questions that you have. Or if you want, we can see if it makes sense to, you know, set up like an actual demo of the product. But I wanted to reach out first and see what would be appropriate.

Prospect  0:49
Yeah, sure. I let me have a look into that. Actually, it sounded interesting to me, because we are also working on analytics here.

Agent  0:59
Of course, yeah. What are some of the things that you guys are looking for? I know, I mean analytics helps companies to understand, you know, the behavior of their users, and being able to track when there are event and things of that nature. So, yeah, I'd be happy to give you guys an overview. You want me to follow up like later this week? and then we can figure out, you know, timing is really like next week.

Prospect  1:28
If you Is it possible for you to call me on Friday by the time and have a look on the whole document which I have downloaded?

Agent  1:36
Yeah. And we can have a more directed conversation for sure. What do you want me to give you a call at 1pm? I'm on pacific time as well.

Prospect  1:44
Yeah, 1pm would be fine. Okay,

Agent  1:46
cool. Sounds good. Well, I'll go ahead and add you on Farmvil. So you can put a name to the face and if anything changes, just let me know. But otherwise, I'll look forward to talking to you again on Friday.

Prospect  1:56
Yeah.

Agent  1:58
Okay, cool. Take care of on the way

Contact center insights per conversation and aggregated

Damon:
hello

Damon:
Is there somewhere that describes what the beeps mean? It’s so loud it hurts my ears!

Clara:
Hello Damon, welcome to the Chatcaffe Support Service. I am Clara here to help you with your issue.

Damon:
Hi

Clara:
I'm sorry you feel that way, it's embarrassing. 

Clara:
In order to serve you more effectively, can you please explain in brief the issue faced by you?

Damon:
sure

Damon:
I power on the system, and immediately I get these annoying beeping noises!

Clara:
Damon, can you please let me know the exact number of beeps you get?

Damon:
total? About 8

Damon:
just like those above

Clara:
Just to confirm, are you getting one long and three short , three long and one short beep after you start your system?

Damon:
all are short.

Clara:
When did the system start doing this? Also, it would be very helpful to know whether you have recently installed any new hardware or software?

Damon:
from what I understand there was a light pen interface card installed on this machine some time ago, it is removed and no longer available. I do not know when it last worked properly.

Damon:
there is no other hardware on the machine, I also took the liberty of disconnecting the floppy, cdrom, and HD, to see if that changed anything, it didn't

Damon:
tried different RAM as well.

Clara:
Please hold on for a moment, while I search for a resolution for your issue.

Damon:
sure

Clara:
Have you tried reseating the RAM in the PCI slot?

Damon:
there is nothing in the pci slots.

Damon:
I have tried different ram though

Clara:
The issue you are facing is due to not installing the memory in the PCI slots and hence you are getting the beeps. I suggest you to please insert the memory in the PCI slots and then restart the system. Please take your time and try out the solution. If you have any problems, please feel free to contact us again. We are here 24 hours a day, 7days a week to assist you.

Clara:
Is that alright with you?

Damon:
Are you kidding me? RAM can't fit into a PCI slot it doesn't physically go in

Damon:
SDRAM can only fit into DIMM sockets

Clara:
Are you using the memory cards which were orginally shipped along with the system?

Damon:
yes

Damon:
and tried new ones

Clara:
Damon:, to resolve the issue further, I suggest you to please try to install the earlier SDRAM memory cards in the slots and then boot the system. I am sure this will help to fix the issue faced by you.

Damon:
already did. the ram must be bad then

Damon:
is there replacement ram available?

Damon:
is it just normal sdram? looks like it.

Clara:
Do you wish to have information on SDRAM installed on this system?

Damon:
sure

Clara:
I am sending you the required web page which contains the details.

Clara:
http://www.Chatcaffe.com/longmeaninglessurl.html

Clara:
Did you get the web page?

Damon:
yes, is there a limit to the maximum amount of ram on the memory module?

Clara:
I am sending you a web page that will provide you details regarding this, please review the web page.

Damon:
oh, and if I needed to find out what various post error beeps mean, what is the name of the BIOS used on the system?

Clara:
http://www.ChatCaffe.com/2ndlongmeaninglessurl.shtml

Damon:
got it.

Clara:
The motherboard has Phoenix bios.

Clara:
Is that fine with you?

Damon:
yep,

Clara:
Thank you Damon, for your valuable time. It was a pleasure to assist you.

Damon:
Thanks Clara


Examine and analyze email threads efficiently. Using the Topics and Summarize Language Skills, you can review and sort entire threads. The emails can then be analyzed with additional Skills like Entities for recognizing discussed people, companies, dates and more.

Alex:
Hey Justin, We'd love to host a Zoom game for your team. Happy to expedite everything for your event on Monday. How many participants and what time are you looking at? Let me know if you'd prefer to hop on a quick videochat tomorrow to go over all the logistics.

Justin:
Hi Alex! There are 12 of us, and I believe 8 will take part. Happy to learn more via email or video chat. I can do 9 am or 11 am EST. Thanks.

Alex:
Great! Works well for me. I'll send over a call invite with a zoom link and look forward to chatting then!

Alex:
Hey Justin, So nice to chat with you. Here's a short blurb on the Team Zoom Challenge Game: teams must work together to solve puzzles, find specific items and complete challenges together to win. Kind of like a game show meets a scavenger hunt meets the amazing race, this 1 hour experience is fast-paced, fun and exciting. This option comes with a facilitator/game-show-host and costs $40 per player. This game can be anywhere between 30 and 60 minutes. To book, I'll just need the time on Monday that you'd like to play and we'll invoice you for the 8 participants.

Justin:
Thanks Alex! Discussing internally and will let you know.

Improve content consumption by generating summaries and highlighting key sentences. The Summarize Language Skill also generates referrals to the source text, helping you navigate through it efficiently.

Highlights

Detects key sentences and essential points

Natural language processing (NLP) is a subfield of linguistics, computer science, and artificial intelligence concerned with the interactions between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves. Challenges in natural language processing frequently involve speech recognition, natural language understanding, and natural language generation. Based on long-standing trends in the field, it is possible to extrapolate future directions of NLP. As of 2020, three trends among the topics of the long-standing series of CoNLL Shared Tasks can be observed: Interest on increasingly abstract, "cognitive" aspects of natural language, Increasing interest in multilinguality and Elimination of symbolic representations.

Ensure that agents can take control of a chat efficiently through summary, emotion detection, sentiment analysis, and entities (people, companies, dates, etc.).

Sentiments

Detects positive (POS) or negative (NEG) sentiments

USER
Hi, I would like a cab to Gallo's. Please hurry.

SYSTEM
How many people are in your group?

USER
There are two people.

SYSTEM
Could you repeat that please?

USER
Ugh come on! we are two people. two.stupid bot.

SYSTEM
You want a shared ride for 2 people to Gallo's. Is that right?

USER
Yes, yes, that is right. How long is the ride and what does it cost?

SYSTEM
Your cab is confirmed and is coming for you right now. The ride duration is 32 minutes and costs $22.81.

USER
Oh yes, this is excellent. Thank you!



Analyze conversations for emotional content - from general sentiment to nuanced emotions such as anger, happiness, sadness, and surprise

bot  0:00  
Hi, this is your virtual care manager. I'm calling today to check in and see how you were doing. How are you feeling today?

user  0:09  
Well, actually, I'm a little bit down today.

bot  0:13  
Have there been any changes in your health since we last spoke?

user  0:20  
Well, now there'll be changes.

bot  0:24  
How would you describe your mood these days?

user  0:28  
As I said, I'm feeling down. I think it's because I can't get out enough to see people.

bot  1:13  
What have you been doing recently to help keep yourself busy?

user  1:19  
Well, there's TV but I'm getting sick and tired of TV. So I started reading more books and also listen to books on tape. I do like that.

bot  1:44  
Have you managed to socialize this week, whether in person or by phone? And can you share some details?

user  1:54  
Well, like I said, I don't get out much at all. So I really don't have a ton of had a chance to socialize in person. But I have gone to my worship service at my church online on Sunday.

bot  2:07  
Do you feel lonely?

user  2:09  
Yes. As I mentioned, I do feel a bit lonely.

bot  2:15  
What are the things you find most helpful when you feel lonely?

user  2:19  
Well, I guess reading and listening to books and sometimes actually put on some music or maybe try to write something down and look forward to some things in the coming weeks. For example, my son is coming  to visit from Denver. So I have those things to look forward to.

bot  2:38  
I'm glad to hear that. Is there anything else you'd like to share with me today that I haven't asked you about?

user  3:03  
Nope, I don't think so.

bot  3:06  
If you mentioned any issues, would you like someone to call you back to address them with you?

user  3:12  
I think I'm okay for now. But thank you for asking me it's nice to have someone checking on me.

bot  3:19  
Okay, thank you, for your participation today. I will be in touch with you again next week at the same time. Have a wonderful rest of the day.


Get a sense of the emotional state of social media posts, talk backs and comments whether you are looking for general sentiment or specific emotions like anger, happiness, sadness, surprise and more

Tesla is the best car ever!!

John is really a bad minister, I won't vote for him.

I am going to Kahlua Bar.

I hate Burger Bar, they always mess up my order.



The Hitchhiker's Guide to the Galaxy is a science fiction comedy radio series written by Douglas Adams (with some material in the first series provided by John Lloyd). It was originally broadcast in the United Kingdom by BBC Radio 4 in 1978, and afterwards the BBC World Service, National Public Radio in the US and CBC Radio in Canada. The series was the first radio comedy programme to be produced in stereo, and was innovative in its use of music and sound effects, winning a number of awards.

The series follows the adventures of hapless Englishman Arthur Dent and his friend Ford Prefect, an alien who writes for The Hitchhiker's Guide to the Galaxy, a pan-galactic encyclopaedia and travel guide. After Earth is destroyed in the first episode, Arthur and Ford find themselves aboard a stolen spaceship piloted by Zaphod Beeblebrox (Ford's semi-cousin and Galactic President), depressed robot Marvin, and Trillian, the only other human survivor of Earth's destruction.

A pilot programme was commissioned in March 1977, and was recorded by the end of the following June. A second series was commissioned in 1979, transmitted in 1980. Episodes of the first series were re-recorded for release on LP records and audio cassettes and Adams adapted the first series into a best-selling novel in 1979. After the 1980 transmissions of the second radio series, a second novel was published and the first series was adapted for television. This was followed by three further novels, a computer game, and various other media.

Adams considered writing a third radio series to be based on his novel Life, the Universe and Everything in 1993, but the project did not begin until after his death in 2001. Dirk Maggs, with whom Adams had discussed the new series, directed and co-produced the radio adaptation as well as adaptations of the remaining Hitchhiker's Guide novels So Long, and Thanks for All the Fish and Mostly Harmless. These became the third, fourth and fifth radio series, transmitted in 2004 and 2005. A sixth series, adapting Eoin Colfer's sixth part in the "trilogy", And Another Thing... was broadcast in March 2018.

Welcome to the first episode of the History of English podcast. My name if Kevin Stroud, your
host for this series of podcasts which will explore the history of the English language.
In this introductory episode, I want to lay the groundwork for the series of podcasts which will
follow. Let me begin by noting that this is ultimately a history podcast. The topic happens to be
English. But this is not a podcast about the technical aspects of English. It is not my goal or
intention to teach anyone proper grammar or pronunciation.
Instead, this is a podcast about the HISTORY of the language – and you can’t separate the history
of the language from the history of those who spoke the language. So this is really the story of the
English language from its earliest ancestor – the Indo-European language spoken in eastern
Europe over 4,000 years ago – to its current status as the closest thing we have to a modern
international language. And it is the story of the people, places and events which shaped the
language into what it has become today. It is also the story of the words which we use today –
and how those words came into our language.
And speaking of the language we have today, it is a language which emerged from an obscure
Germanic dialect spoken in Northern Europe about 2,000 years ago to one of the most commonly
spoken languages in the world. Technically speaking, English ranks behind Chinese and
Spanish in terms of the most commonly spoken native or “first” languages. But when second and
other learned languages are taken into account, it rivals Chinese in terms of speakers and is
undoubtedly the most commonly “learned” language in the world.
Some linguists estimate that nearly 1 billion people speak English today. Of the total number of
English speakers, it is estimated that there are approximately three times as many non-native
speakers of English as native speakers. This fact reflects the desire of people around the world to
learn English as the de facto international language. English is routinely used an the common
medium of communication among speakers of other languages. When German businessmen
established a Volkswagen plant in China, the Germans and their Chinese counterparts used
English to communicate with each other, even though it is not the native language of either
group. A Russian airline pilot landing in Rome will communicate with the Italian air traffic
controller in English – not Russian or Italian — because English is the official language for
international aviation. It is very easy to see that English has emerged – and continues to emerge –
as the predominant international lingua franca.
So why we should bother learning about the history of the English?
First, simply because it is interesting. It really is a fascinating story. But also because it helps to
explain many of the peculiar aspects of English.
Why do we say “I could care less” when what we really mean is “I could not care less?”

Categorize and sort reviews of your product by discussed topics and sentiment. Using the topics, entities and sentiments Language Skills, you can tag content, extract named entities such as people and brands, and detect negative or positive sentiment.

Could a voice control microwave be the new norm? The price is unbeatable for a name brand product, an official Amazon brand, so you can trust it at least. Secondly, despite the very low price, if you don't want to use the voice control, you can still use it as a regular microwave.

Nevertheless, as for now, microwaves cannot produce a food, a snack or beverages themselves. You have to manually put your food in the microwave. So, my thought was, if I can put a leftover in the microwave to heat it up, why can't I just press the buttons instead of using a voice command to warm my food? However, upon setting it up, I like the voice command more than pressing a couple of buttons.

The downside is the Amazon echo dot is no Star Trek Enterprise computer that is smarter than the user. So, there are times you have to rephrase a command for it to work. 

Remove fillers words and fix errors to make transcripts more human-friendly and usable

Proofread

Fixes errors and removes filler words

Prospect  0:36
If you Is it possible for you to call me on Friday by the time and have a look on the whole document which I have downloaded?

Agent  0:40
Yeah , just give me a just shoot me an email with some availability for John, and then I can put something together ..

Prospect  0:49
Yeah, sure. I let me have a look into that. Actually, it sounded interesting to me, because we are also working on analytics next month.

Agent  0:59
Of course, yeah. What are some of the things that you guys are looking for? I know, I mean, carrot soup, just as people become more data mature, you know, it becomes so important for, for companies to understand, you know, volcano behavior of users. So, yeah, I'd be happy to give you guys an overview. You want me to follow up like later this week? and then we can figure out, you know, timing is really like next week.

Prospect  1:44
Yeah, 1pm would be fine. Okay,

Agent  1:46
cool. Sounds good. Well, I'll go ahead and add you on Monday. So you can put a name to the face and if anything changes, just let me know. But otherwise, I'll look forward to talking to you again on Friday.

Prospect  1:56
Yeah.

Agent  1:58
Okay, cool. So if we need to move that we, you know, we can do that.

Prospect  1:56
Thanks, bye.


OBI-WAN:
We've got to split them up.

ANAKIN: 
Break left, fly through the guns on that tower.

OBI-WAN: 
Easy for you to say . . . why am I always the bait?

ANAKIN: 
Don't worry. I'm coming around behind you.

OBI-WAN: 
Anakin, they're all over me!

ANAKIN: 
Dead ahead! Closing . . . lock onto him, Artoo . . .

ANAKIN: 
We got him, Artoo!

ANAKIN: 
I copy, Artoo.

OBI-WAN:
I'm going down on the deck.

ANAKIN: 
Good idea ... I need some room to maneuver.

ANAKIN: 
Cut right. Do you hear me?! Cut right. Don't let him get a handle on you. Come on, Artoo, lock on! Lock on!

ARTOO: 
BEEP. BEEP. 

OBI-WAN: 
Hurry up! I don't like this!

OBI-WAN: 
Ouch!

R-4:
BEEP. BEEP. BEEP. BEEP.

OBI-WAN: 
Don't even try to fix it, Arfour. I've shut it down.

ANAKIN: 
We're locked on ... we've got him . . .

ANAKIN: 
Yeah! We got him . . . good going, Artoo.

OBI-WAN: 
Next time you're the bait . . . Now let's find the Command Ship and get on with it ...

R-4:
BEEP. BEEP. BEEP. BEEP.

ANAKIN: 
Lock onto them, Artoo. Master, General Grievous's ship is directly ahead.

ARTOO: 
BEEP. BEEP. 

ANAKIN:
The one crawling with vulture droids.

Enhance efficiency and data integrity. Summarize calls, identify entities, emotions, sentiments, and more.

Sales-insights

Generates sales insights such as Budget, Process & Timing, and competition

Agent  0:00  
Hello. Hey Francis, this is Garrett with Devstroot. How are you doing?

Prospect  0:07  
Yeah. Should I know you?

Agent  0:13  
Not unless you saw the email that I sent you last week. I was just calling actually to follow up on those but I take it you probably haven't seen it yet.

Prospect  0:26  
I have no idea why you're calling me I certainly have not seen any emails.

Agent  0:33  
Okay. No worries.

Prospect  0:34  
How did you get my email address?

Agent  0:38  
Through LinkedIn? 

Prospect  0:52  
just sad. Like I don't like if you're selling me something you just done yourself a huge disservice. Why are you calling me?

Agent  1:13  
 Cuz I think our platform could help you guys out over at Giant Games.

Prospect  1:17  
 You seem to want to sell me something. So I'm going to say goodbye. Don't call again!

הוסיפו בקלות ובמהירות יכולות שפה מתקדמות, מבוססות בינה מלאכותית, למוצרים ולשירותים שלכם באמצעות NLP APIs.

Headline

Generates a headline for the input text

Split by Topic

Split the input text into segments by topic.

Action-items

Generates a list of tasks

Keywords

Finds most significant words/phrases in the input text

האפליקציה שלך יכולה להבין ולנתח שפה - גם בעברית 
===============================
עיבוד שפה טבעית (באנגלית: Natural Language Processing - NLP) הוא תת-תחום של בינה מלאכותית ובלשנות העוסק בבעיות הקשורות לעיבוד, מניפולציה והבנה של שפה טבעית על מנת לגרום למחשבים "להבין" דברים שנאמרים או נכתבים בשפות אנושיות. 

בעוד רק כ-5% מאוכלוסיית העולם דוברים אנגלית כשפת אם, הרוב מכריע של ההשקעה בתחום ה-NLP היא באנגלית. One AI רוצה להנגיש את היכולות הללו גם ל-95% הנותרים.

הפלטפורמה של One AI מאפשרת להוסיף בקלות ובמהירות יכולות בינה מלאכותית למוצרים ולשירותים בעזרת ממשקי API של NLP, כלים ניתוח שפה בקנה מידה גדול, ויכולות ניתוח וידאו ואאודיו. הלקוחות שלנו הם מפתחים וחברות מוצר הרוצים להוסיף יכולות שפה למוצרים ולשירותים שלהם. בין אם אתם בונים כלי להפקת וניהול פודקאסט, CRM, כלי לפרסום תוכן, או כל אפליקציה אחרת, תוכלו למצוא כאן יכולות עיבודי שפה , תמלול, ניתוח והבנה מתקדמות, ארוזות כ-API נח וידידותי. 

1. יכולות שפה
יכולות שפה (Language Skills) הם מודלים מוכנים לשימוש, מאומנים מראש לצרגים עסקיים ומוצריים ספציפיים, ארוזים כ-API. ה-API מקבל טקסט בכל שפה כקלט, ומגיב עם טקסט מעובד ומטא נתונים (metadata) שחולצו כפלט. תוכלו לבחור יכולות קיימות מהספרייה, או לבנות את היכולת חדשה הדרושה למוצר שלכם.

2. ניתוח שפה בקנה מידה גדול
בנו כלי ניתוח עוצמתיים המבוססים על מיליוני פריטי טקסט, אודיו ווידאו. שדרגו את המוצרים שלכם בעזרת הבנת שפה בקנה מידה גדול.


3. כלי תמלול ואינטליגנציה של שמע 
עיבוד אוטומטי של אודיו ווידאו לנתונים מובנים - פלטפורמת Audio Intelligence של One AI מאפשרת לעסקים לעבד אוטומטית אודיו ווידאו בכל שפה לנתונים מובנים שיכולים להפיק סיכומים, ליצור תמלול כתוביות בשידור חי, לחלץ סנטימנטים ורגשות, לזהות נושאים ועוד.


הוספת יכולות עבוד שפה רב לשוניות למוצר שלך מעולם לא הייתה קלה או מהירה יותר. לפרטים נוספים - נסו כאן את היכולות כאן בסטודיו, עיינו בדקומנטציה, ו/או דברו עם מומחי השפה שלנו - sales@oneai.com.


שאלות ותשובות
=========

מה עוצר מפתחים מלהוסיף יכולות כאלה כבר היום?
כדי לשלב יכולות שפה במוצרים שלהם, מפתחים צריכים למצוא את המודל שפותר את הבעיה, ולאחר מכן עליהם להשיג נתונים, לתייג אותם, לאמן את המודל, לפרוס אותו לתוך המוצר, ולתחזק אותו לאורך מחזור חייו. שלב זה הוא קריטי לתהליך מכיוון שמפתחים נתקלים באופן שוטף בבעיות בביצועים, במדרגיות, ומקביליות.

ככל שיותר חברות נתקלות בקשיים עם בינה מלאכותית של שפה, כך הדבר פוגע יותר בהתקדמות התחום בתעשייה כולה. זו לא תמיד שאלה של משאבים, אלא גם חוסר ניסיון ומומחיות בתחום. חברות שדעתם מוסחת עם אתגרי NLP נוטות להפסיד כסף וזמן במערך הדברים הגדול, וזו הסיבה ש-One AI רוצה לפתור את הבעיה עבורן.

תוכלו לשתף כמה דוגמאות?
- לנתח ולהבין שרשורי דוא"ל על ידי פיצול אותם לפי נושאים, חילוץ רגשות, שמות, תאריכים, מחירים ועוד הרבה יותר.
- להבין את סנטימנט הלקוחות לגבי תמחור על ידי שילוב של תובנת מכירות, תמחור ומיומנויות רגש.
- לחלץ ישויות והבנת תגובות לקוחות בשרשור דוא"ל מכירתי תוך שימוש ב-Skills לזיהוי שמות, מוצרים או מקומות.
- ליצור ולהשתמש ב- Language Analytics כדי לנתח ולעבד את כל מרכז הקשר, המכירות או ה-CRM שלך
- לבנות כלי Reddit Research שמנתח שרשורים של Reddit ומנטר את כל ההתכתבות בקטלוג לפי הערות חיוביות או שליליות בנושאים אלו.

מה ההבדל בין סנטימנט לרגשות?
זיהוי רגשות הוא מפורש וספציפי - מה שמאפשר לך לזהות אושר, עצב, כעס או הפתעה. מצד שני, ניתוח הסנטימנט הוא רחב ומופשט יותר, ומסווג נתונים כחיוביים, שליליים או ניטרליים.
למשל, אם מישהו אומר "אני לא בטוח שהמחיר יעבוד עבורנו", זה עשוי להיות מזוהה כעצב.
 
כיצד אוכל לדעת באילו יכולות להשתמש עבור הצורך הספציפי שלי?
כאשר מזינים תוכן לפלטפורמה שלנו, היא מזהה אוטומטית את הדומיין ומפעילה את המודל הנכון, כך שאתם לא צריך לדאוג באיזה מודל להשתמש.

מה קורה כשהמודלים מתפתחים?
בדומה לפלטפורמות Voice over IP,  אנחנו ממשיכים לפתח את מגוון המודלים לצרכים שונים. אנו נותנים עדיפות ליכולות המספקות את הערך הרב ביותר לרוב המפתחים, ועם הזמן ניצור יותר יכולות.

כיצד אתם מודדים את הצלחת המשתמשים?
אנו מודדים הצלחה לפי המהירות שבה הלקוחות הצליחו להטמיע את היכולות שלנו במוצר שלהם עם כמה שפחות שגיאות או קשיים. 

כמה זמן לוקח להטמיע את היכולות?
הזמן תלוי בעיקר במורכבות ממשק המשתמש שצריך לבנות. ההטמעה יכולה לנוע בין כמה שעות לכמה ימים בהתאם לכמות העבודה הדרושה למפתחים כדי לשזור את הערך במוצר שלהם.



Añade de forma fácil y rápida funciones avanzadas de inteligencia artificial a tus productos y servicios gracias a la API de PNL, herramientas de análisis lingüístico a gran escala y capacidades de análisis de vídeo y de audio.

Su aplicación puede comprender y analizar el idioma, incluso en hebreo
====================================
El procesamiento del lenguaje natural (en inglés: Natural Language Processing - NLP) es un subcampo de la inteligencia artificial y la lingüística que se ocupa de problemas relacionados con el procesamiento, la manipulación y la comprensión del lenguaje natural para que las computadoras "entiendan" cosas que se dicen o escriben. en lenguajes humanos.

Si bien solo alrededor del 5% de la población mundial habla inglés como idioma nativo, la gran mayoría de las inversiones en el campo de la PNL se realizan en inglés. Una IA quiere que estas capacidades también sean accesibles para el 95 % restante.

La plataforma de One AI le permite agregar de manera fácil y rápida capacidades de inteligencia artificial a productos y servicios utilizando API de NLP, herramientas de análisis de lenguaje a gran escala y capacidades de análisis de video y audio. Nuestros clientes son desarrolladores y empresas de productos que desean agregar capacidades lingüísticas a sus productos y servicios. Ya sea que esté creando una herramienta para producir y administrar un podcast, un CRM, una herramienta para publicar contenido o cualquier otra aplicación, aquí encontrará capacidades avanzadas de procesamiento, transcripción, análisis y comprensión del idioma, empaquetadas como una API conveniente y amigable.

1. Habilidades lingüísticas
Language Skills son modelos listos para usar, entrenados previamente para necesidades comerciales y de productos específicas, empaquetados como una API. La API acepta texto en cualquier idioma como entrada y responde con texto procesado y metadatos extraídos como salida. Puede elegir capacidades existentes de la biblioteca o crear la nueva capacidad necesaria para su producto.

2. Análisis lingüístico a gran escala
Cree poderosas herramientas de análisis basadas en millones de elementos de texto, audio y video. Actualice sus productos con la comprensión del idioma a escala.


3. Transcripción de audio y herramientas de inteligencia
Procesamiento automático de audio y video en datos estructurados: la plataforma Audio Intelligence de One AI permite a las empresas procesar automáticamente audio y video en cualquier idioma en datos estructurados que pueden producir resúmenes, crear transcripciones de subtítulos en vivo, extraer sentimientos y emociones, identificar temas y más.


Agregar capacidades multilingües a su producto nunca ha sido tan fácil o rápido. Para obtener más detalles, pruebe las capacidades aquí en el estudio, consulte la documentación y/o hable con nuestros expertos en idiomas: sales@oneai.com.


Preguntas y respuestas
=========

¿Qué impide que los desarrolladores agreguen tales capacidades hoy?
Para integrar capacidades de lenguaje en sus productos, los desarrolladores deben encontrar el modelo que resuelve el problema y luego deben obtener datos, etiquetarlos, entrenar el modelo, implementarlo en el producto y mantenerlo durante todo su ciclo de vida. Este paso es fundamental para el proceso porque los desarrolladores encuentran regularmente problemas de rendimiento, escalabilidad y simultaneidad.

Cuantas más empresas encuentran dificultades con la inteligencia artificial del lenguaje, más perjudica el progreso del campo en toda la industria. No siempre es una cuestión de recursos, sino también de falta de experiencia y conocimientos en el campo. Las empresas distraídas con los desafíos de la PNL tienden a perder dinero y tiempo en el gran esquema de las cosas, razón por la cual One AI quiere resolver el problema por ellas.

¿Puedes compartir algunos ejemplos?
- Analice y comprenda los hilos de correo electrónico dividiéndolos por temas, extrayendo opiniones, nombres, fechas, precios y mucho más.
- Comprender el sentimiento del cliente sobre los precios combinando información de ventas, precios y habilidades emocionales.
- Extraer entidades y comprender las respuestas de los clientes en un hilo de correo electrónico de ventas utilizando Skills para identificar nombres, productos o lugares.
- Cree y use Language Analytics para analizar y procesar todo su centro de contacto, ventas o CRM
- Cree una herramienta de investigación de Reddit que analice los hilos de Reddit y monitoree toda la correspondencia en el catálogo de acuerdo con los comentarios positivos o negativos sobre estos temas.

¿Cuál es la diferencia entre sentimiento y emociones?
La detección de emociones es explícita y específica, lo que le permite detectar felicidad, tristeza, ira o sorpresa. Por otro lado, el análisis de sentimiento es más amplio y abstracto, clasificando los datos en positivos, negativos o neutrales.
Por ejemplo, si alguien dice "No estoy seguro de que el precio funcione para nosotros", esto puede percibirse como tristeza.
 
¿Cómo sé qué capacidades usar para mi necesidad específica?
Cuando alimenta contenido a nuestra plataforma, detecta automáticamente el dominio y activa el modelo correcto, por lo que no tiene que preocuparse por qué modelo usar.

¿Qué sucede cuando los modelos evolucionan?
Similar a las plataformas de Voz sobre IP, continuamos desarrollando la variedad de modelos para diferentes necesidades. Damos prioridad a las capacidades que brindan el mayor valor a la mayoría de los desarrolladores y crearemos más capacidades con el tiempo.

¿Cómo se mide el éxito del usuario?
Medimos el éxito por la rapidez con la que los clientes pudieron integrar nuestras capacidades en su producto con la menor cantidad de errores o dificultades posible.

¿Cuánto tiempo lleva asimilar las habilidades?
El tiempo depende principalmente de la complejidad de la interfaz de usuario que debe construirse. La implementación puede variar desde unas pocas horas hasta unos pocos días, dependiendo de la cantidad de trabajo que requieran los desarrolladores para tejer el valor en su producto.

Ajoutez facilement et rapidement des capacités avancées d'intelligence artificielle à vos produits et services à l'aide d'API NLP, d'outils d'analyse linguistique à grande échelle et de capacités d'analyse vidéo et audio.

Votre application peut comprendre et analyser la langue - même en hébreu
====================================
Le traitement du langage naturel (en anglais : Natural Language Processing - NLP) est un sous-domaine de l'intelligence artificielle et de la linguistique qui traite des problèmes liés au traitement, à la manipulation et à la compréhension du langage naturel afin de faire « comprendre » aux ordinateurs des choses qui sont dites ou écrites. dans les langues humaines.

Alors que seulement 5 % environ de la population mondiale parle l'anglais comme langue maternelle, la grande majorité des investissements dans le domaine de la PNL se fait en anglais. One AI veut également rendre ces capacités accessibles aux 95 % restants.

La plate-forme One AI vous permet d'ajouter facilement et rapidement des capacités d'intelligence artificielle aux produits et services à l'aide d'API NLP, d'outils d'analyse linguistique à grande échelle et de capacités d'analyse vidéo et audio. Nos clients sont des développeurs et des sociétés de produits qui souhaitent ajouter des fonctionnalités linguistiques à leurs produits et services. Que vous construisiez un outil pour produire et gérer un podcast, un CRM, un outil pour publier du contenu ou toute autre application, vous trouverez ici des capacités avancées de traitement, de transcription, d'analyse et de compréhension du langage, regroupées sous la forme d'une API pratique et conviviale.

1. Compétences linguistiques
Les compétences linguistiques sont des modèles prêts à l'emploi, pré-formés pour les besoins spécifiques de l'entreprise et du produit, présentés sous forme d'API. L'API accepte du texte dans n'importe quelle langue en entrée et répond avec du texte traité et des métadonnées extraites en sortie. Vous pouvez choisir des fonctionnalités existantes dans la bibliothèque ou créer la nouvelle fonctionnalité nécessaire à votre produit.

2. Analyse linguistique à grande échelle
Créez de puissants outils d'analyse basés sur des millions d'éléments texte, audio et vidéo. Améliorez vos produits avec une compréhension linguistique à grande échelle.


3. Outils de transcription audio et de renseignement
Traitement automatique de l'audio et de la vidéo en données structurées - La plateforme Audio Intelligence de One AI permet aux entreprises de traiter automatiquement l'audio et la vidéo dans n'importe quelle langue en données structurées qui peuvent produire des résumés, créer des transcriptions de sous-titres en direct, extraire des sentiments et des émotions, identifier des sujets et plus encore.


L'ajout de fonctionnalités multilingues à votre produit n'a jamais été aussi simple ni rapide. Pour plus de détails - essayez les fonctionnalités ici dans le studio, consultez la documentation et/ou parlez à nos experts linguistiques - sales@oneai.com.


Questions et réponses
=========

Qu'est-ce qui empêche les développeurs d'ajouter de telles fonctionnalités aujourd'hui ?
Pour intégrer des fonctionnalités linguistiques dans leurs produits, les développeurs doivent trouver le modèle qui résout le problème, puis ils doivent obtenir des données, les étiqueter, former le modèle, le déployer dans le produit et le maintenir tout au long de son cycle de vie. Cette étape est essentielle au processus, car les développeurs rencontrent régulièrement des problèmes de performances, d'évolutivité et de simultanéité.

Plus les entreprises rencontrent des difficultés avec l'intelligence artificielle du langage, plus cela nuit à l'avancement du domaine dans l'ensemble de l'industrie. Ce n'est pas toujours une question de ressources, mais aussi un manque d'expérience et d'expertise dans le domaine. Les entreprises distraites par les défis de la PNL ont tendance à perdre de l'argent et du temps dans le grand schéma des choses, c'est pourquoi One AI veut résoudre le problème pour elles.

Pouvez-vous partager quelques exemples ?
- Analysez et comprenez les fils de discussion en les divisant par sujets, en extrayant les sentiments, les noms, les dates, les prix et bien plus encore.
- Comprenez le sentiment des clients sur les prix en combinant les informations sur les ventes, les prix et les compétences émotionnelles.
- Extraction d'entités et compréhension des réponses des clients dans un fil de discussion par e-mail de vente à l'aide de Skills pour identifier des noms, des produits ou des lieux.
- Créer et utiliser Language Analytics pour analyser et traiter l'ensemble de votre centre de contact, ventes ou CRM
- Construire un outil de recherche Reddit qui analyse les fils Reddit et surveille toute la correspondance dans le catalogue en fonction des commentaires positifs ou négatifs sur ces sujets.

Quelle est la différence entre sentiment et émotions ?
La détection des émotions est explicite et spécifique - vous permettant de détecter le bonheur, la tristesse, la colère ou la surprise. D'autre part, l'analyse des sentiments est plus large et plus abstraite, classant les données comme positives, négatives ou neutres.
Par exemple, si quelqu'un dit "Je ne suis pas sûr que le prix nous convienne", cela peut être perçu comme de la tristesse.
 
Comment puis-je savoir quelles fonctionnalités utiliser pour mon besoin spécifique ?
Lorsque vous alimentez en contenu notre plateforme, celle-ci détecte automatiquement le domaine et active le bon modèle, vous n'avez donc pas à vous soucier du modèle à utiliser.

Que se passe-t-il lorsque les modèles évoluent ?
Semblable aux plates-formes de voix sur IP, nous continuons à développer la variété de modèles pour différents besoins. Nous donnons la priorité aux fonctionnalités qui offrent le plus de valeur au plus grand nombre de développeurs, et nous créerons davantage de fonctionnalités au fil du temps.

Comment mesurez-vous le succès des utilisateurs ?
Nous mesurons le succès par la rapidité avec laquelle les clients ont pu intégrer nos capacités dans leur produit avec le moins d'erreurs ou de difficultés possible.

Combien de temps faut-il pour assimiler les compétences ?
Le temps dépend principalement de la complexité de l'interface utilisateur qui doit être construite. La mise en œuvre peut aller de quelques heures à quelques jours selon la quantité de travail requise par les développeurs pour intégrer la valeur dans leur produit.

Anonymize

[Removal] Hello. Hey Francis, this is Garret. How are you doing?

[Removal] Thanks Alex! Discussing internally and will let you know.

Removes personally identifiable information to maintain privacy

[Happiness] Looking forward to chatting then!

Finds most significant words/phrases in the input text

[Timing & Process] Yeah, I was just curious, because we are like in the beginning of looking at data governance solutions, but we are far away from anything in the pipeline, or fourth, or just  information purposes.

[Competition] We've got quite a bit in that space in the marketing side, so we might be sat there.

[Person]Bill Gates founded [Org]Microsoft back in the late seventies.

Transcribe

Transcribe the audio, generating analyzable text. Powered by Soniox.

[Filler words] I just wanted to call to see, you know, if this is...

[Repeated phrase] Yeah, just give me a just shoot me an email 

Html-to-Article

Einstein is considered the greatest of theorists, alongside Isaac Newton, the father of classical mechanics. His name has become synonymous with genius.

Extracts main text content from web pages 

[Positive] The price is unbeatable for a name brand product

[Negative] The battery life on this camera is not the best I've seen...

Split by Sentence

Divides a bulk of text to sentences

[Action Item] I'll send over a call invite with a zoom link and look forward to chatting then!

Pricing

[Quantity] 45,000 barrels plus or minus 10% Buyers Option

Identifies pricing & quantities in contracts

Clustering

Identifies and clusters texts based on labels created by other Skills

[Cardinal] Hi! There are 12 of us, and I believe 8 will take part. 

[Time] 10 minutes for me to answer any questions that you have.

Multi-Doc Summary by Ernst et al

Leveraging text clustering to indicate information saliency and to avoid redundancy, grouping together propositions for more precise information alignment. Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, and Ido Dagan

Detect Language

Detects the input text's language.

History of English Podcast - The History of the English Language

Subheading

Generates a subheading for the input text

Service Insights

Generates email insights such as Complaint, Intro, Request, Query

+ Add Your Own

Custom Skill

PDF Extract Text

Extracts PDF

GPT Skill

Classify

Classify skill

Social Toxicity

Content Curation

Subsentences

Splits Sentences by Meaning

Find

Find similar data in Collections.

Sales rep:
Hi Mr. Smith how are you today?
This is John. I work at a random tech company and wanted to talk to you and see if maybe you could put our services to use.

We offer our services at a fraction of the price of our competitors. 

If you are interested I would be happy to set up a brief 30 minute meeting and give you our full pitch. 

Prospect:
OK. 30 minutes for the meeting. I can do that. How is a week from Monday at 2 pm?

Sales rep:
OK I will send over a call invite with a zoom link and we can chat then. Thanks!

Get action items from sales calls

Maximize efficiency and protect user privacy while never missing a follow up