Blog archive

At Dasha we use communication between applications written in weakly-typed and strong-typed languages. For example, TypeScript and C#. Sometimes we need to pass typed messages from TS to C#. This is usually a problem.

Every two minutes that an inbound lead waits to receive a call from your SDR lowers the likelihood of a closed deal by 5%. Instead of waiting for an SDR to call the lead or sending an automated email like everyone else, have a conversational AI app automatically call to the user as soon as they…

Speech synthesis (Text-to-speech, TTS) is the formation of a speech signal from printed text. In a way, it is the opposite of speech recognition. Speech synthesis is used in medicine, dialogue systems, voice assistants, and many other business tasks. As long as we have one speaker, the task of…

Voice AI and site reliability engineering? What a ridiculous match up. The two live in completely different worlds. The former in the world of pesky call centers, the latter in the world of ponytailed sys admins.

Connect jambonz to Dasha by registering a Dasha voice agent as a SIP endpoint, then route calls to it from a jambonz application. This guide covers the current dashboard and REST API setup, verification, and troubleshooting.

No introduction available.

A new wave of conversational AI helps automate order confirmation — and potentially save your company money and time. All while skyrocketing your customer experience.

This post will focus on creating a conversational AI app that serves as an all-encompassing hotel booking system. It will gather such information from your customers as the destination, check-in and check-out dates,  hotel stars, and so much more.

An ensemble (Multiple Classifier System) is an algorithm that consists of multiple machine learning algorithms, and the process of building an ensemble is called ensemble learning.

Folks who work in insurance will tell you that it’s about as far from a sexy industry as one can get. Call me narrow-minded but I think any industry can be made sexier with a bit of AI. In today’s tutorial we will do just that: build a conversational AI app that will take a customer’s call, check…

Imagine an AI call center agent that picks up every call on the first ring, identifies the customer by their policy number, answers the majority of their questions, finds information that the customer needs and only transfers to a human agent if there is absolutely no way it can resolve the issue…

Did you know that you can use any telephony vendor to let your Dasha conversational AI application communicate with your users via voice? The majority of our customers use Dasha’s natively built in telephony to train their conversational apps. All of our customers migrate to their own telephony…

Today we’ll build an automated AI receptionist. Know a small business hotel owner? Build this human-like conversational AI app, test it with them and deploy. Hook your friends up, they will probably be so thankful as to give you some free hotel stays.  The best part is that you’ll build this app…

<u>Named entity recognition</u> (NER) is an essential component of <u>NLU</u> (natural language understanding). It allows us to extract important data information from utterances. The goal is to locate words and classify them as entities to use this information in a conversation. Extracted entities…

Conversational AI is a set of technologies that let a machine understand what is being said, evaluate what would be a contextually relevant response, and reply in a human-like manner.  To recognize human speech and be able to talk like a human a set of machine learning (ML), natural language…

Over 530 million packages are delivered per day by UPS, USPS, and FedEx alone. In order to manage such volume without the risk of losing customers due to overwhelmed customer support, logistics companies use automation.

Natural language understanding (NLU) is an essential part of intelligent dialog systems. The goal of NLU is to classify the intents and extract meaning and entities from words (speech). Natural language understanding algorithms extract semantic information from text. By using this information on…

According to Morgan Stanley’s research, 47% of restaurant customers prefer to call the restaurant directly to make an order. Phone ordering isn’t declining at the expected rate and phone call automation is one of the biggest reasons why. Voice ordering for restaurants is on the rise. Food chains…

Artificial intelligence (AI) has steadily become more integrated into daily life, and this is evident through Google maps, face recognition, and autocorrect. Joining their ranks is breakthrough conversational AI technology.

Graph structures can naturally represent data in many emerging areas of AI and ML, such as image analysis, NLP, molecular biology, molecular chemistry, pattern recognition, and more.

Whether you are in B2B or retail sales, you know that speed to lead wins the deals. In some highly competitive industries, such as car insurance, if you haven’t reached out to your prospect within 2 minutes of the form submission, you might as well not reach out at all - your competitors have…

You have definitely heard of the rising popularity of in-car assistants. In the U.S. alone over 60% of people are inclined to buy a car with an assistant installed. Nearly <u>130 million people</u> have already tried using one in their car and over 80 million enjoyed using their in-car voice…

What is the Dasha command line interface? It's a NodeJS command-line script that helps you with the configuration and maintenance of your Dasha integration.

So you’re considering using customer support automation at your bank but are unsure where to begin. The good news is you’re at the right place.  In this guide we’ll talk about why it is a smart decision to use artificial intelligence in banking, how to use customer service and support automation,…

In this tutorial we focus on the preparatory work - analyzing your proposed conversation, tailoring a conversational script, preparing and implementing it as a voice app.

A few years ago mentioning conversational UX raised eyebrows. Today, it is par for the course. We can talk for ages about using conversational AI design to create amazing user experiences (and will soon). Instead, today, I want to tell you how you can use a key feature of the Dasha AI Platform -…

The customer is always right. As small business owners, we know that this isn’t always the case. Yet, we will and should do everything in our power to ensure that every experience our customer has with our business is a delightful one.  A delighted customer is more likely to spread the good word…

Let’s start with the basics. AUC ROC stands for the area under a receiver operating characteristic. The area under the ROC curve is one of the most popular quality functionals in binary classification problems. In my opinion, there are no simple and complete sources of information on "what is…

The machine learning random forest algorithm is one of the most amazing ML algorithms invented by Leo Breiman and Adele Cutler back in the last century. It has come down to us in its "original form" (no heuristics have been able to improve it significantly) and is one of the few universal…

Let’s talk about self-supervised machine learning - a way to teach a model a lot without manual markup, as well as an opportunity to avoid deep learning when setting a model up to solve a problem. This material requires an intermediate level of preparation; there are many references to original…

Let’s talk about something that cannot but excite your imagination - let’s talk about key breakthroughs that have occurred in speech recognition thanks to transformers.

Surprisingly, it is extremely difficult to find a good overview of all the methods of model calibration - a process as a result of which the “black boxes” not only qualitatively solve the classification problem, but also correctly assess their confidence in the answer given.

The logistic loss or cross-entropy loss (or simply <u>cross entropy</u>) is often used in classification problems. Let's figure out why it is used and what meaning it has. To fully understand this post, you need a good ML and math background, yet I  would still recommend ML beginners to read it…

Whether you need to drown out extraneous noise in recorded speech, get rid of echoes, or simply separate the voice from the music, this guide can be very helpful to you. It's okay if you've never worked with Speech Enhancement models and Denoising tools - I’m here to describe all the steps and…

Let’s say you have a working and a developer-friendly .NET ecosystem. There are a lot of services and your team doesn’t cherish the idea of having a service built without .NET. Additionally, there is a pending request to develop software to serve some machine learning models.

In the process of Dasha's dialogue with a person, depending on the phrase said by the person and the algorithm implemented in DashaScript, Dasha chooses a response phrase. After that, to convey that phrase to the person, the TTS service comes into play.

In this post, we will be addressing the quality of machine learning algorithms for solving classification problems. We will consider the "recall-precision" curves as well as Gain, Lift, K-S (machine learning curves), and a table for analyzing profitability. Most importantly, we will define all…

My name is Ilya, and as a machine learning researcher, it’s kind of my duty to think about AI and the impact it has on our reality. In my previous article, I tackled questions that you might have tried to wrap your mind around: will AI take our jobs – and if so, which ones would be the first? And…

We’ll talk about two things - a deep learning approach that solves the problem of reducing the sample size and an even more ambitious task - creating synthetic data that stores all the useful information about the sample. In this post you'll be learning to distill, so to speak.

This blog post is for you, <u>Python</u> lovers. Last year there was an experiment conducted.

Let’s see how you can easily create a voice & text assistant, and teach it to control your robot vacuum cleaner like Xiaomi or iRobot.

If you’re considering voice AI as a way to boost your call center performance, sooner or later you’ll face the big question: should you use synthesized or pre-recorded speech for AI voice output?

Let’s discuss the highlights of the recent speech separation and recognition challenge as well as some tricks used by the winners.

Voice technology can work miracles these days: today’s digital assistants can be as small as tea cups, but the first voice recognition devices were almost the size of an entire room. Ever wonder how – and when – it all started?

Do you really think you should outsource lead generation offshore? Let me change your mind.

The call center outsourcing market has lately been booming and estimated at <u>USD 75 billion</u>. But recent pandemic disruptions have taken their toll on the industry, bringing old problems to light and creating new ones (enter WFH).

GPT-2 and other tools now can generate texts. But so far, the results are not that... impressive. Let's talk about Neural Text Degeneration.

What if I told you that Alan Turing’s work started impacting today’s study of AI before computers were invented?

Average Handle Time. Out of all call center metrics and industry standards, AHT sticks out like a sore thumb. Managers chase it, call center operators hate it. Let’s dig in and try to figure out the value of this metric, as well as its impact on your call center’s day to day productivity - both…

Everybody hates long wait times. Here is how you make them history.