(upbeat music) - Welcome to Azure AI essentials. In this video, I'll walk you through what artificial intelligence
or AI can enable and how you can harness the
power of Azure AI services to create breakthrough
experiences in your applications. So let's start with the basics. What is AI? Simply put, AI is the ability
of computers to perform tasks that are typically
characteristic of humans. AI enables computers to learn
from massive amounts of data and to interact and respond
more naturally with the world. With AI computers can now see with computer vision capabilities, that allow them to
interpret the world visually through video and images. They can listen and translate, transcribe and interpret written or spoken language and are even able to carry on a dialogue through chat and speech, which is known as conversational AI. And they can reason by
understanding relationships between people, things,
places, and events, which enables them to automatically detect unusual activity in a system, personalized recommendations
for an individual, and much more. AI was once limited to
researchers and institutions, but with cloud AI services
and tools, now every developer can leverage AI to create
innovative applications that solve complex problems and
enhance customer experience. We aim to empower you to
use AI in your applications regardless of skill level. And to enable you to develop on your terms using the tools and
languages of your choice. Azure AI services are the
result of years of research. Our Microsoft research team has made significant breakthroughs in the AI categories of
vision, speech, and language. In fact, we were the first
to reach parody with humans for tasks like object recognition, speech recognition, machine translation, conversational QnA and most
recently image captioning. These breakthroughs are not just academic. Customers are taking
advantage of them today. These are industry leading AI models that have been tested at scale. And that provide
enterprise grade security, availability, compliance,
and manageability for your most mission
critical applications. In fact, Microsoft infuses
AI into many of our products. From facial recognition via Windows Hello, to real time translation while you're speaking in PowerPoint, to advance threat detection
across multiple products. Azure AI has helped create a billion PowerPoint designer slides, deliver 6 million personalized
experiences per day on X-Box, and transcribed 10 million
hours of speech every month with Microsoft Teams. we also have an uncompromising
commitment to responsible AI. We don't use customer
data to train our models and we ensure your data
privacy is always respected. At every stage of our AI research, development and deployment, we keep principles like
inclusiveness, fairness, transparency, and accountability in mind. And Azure has the best privacy controls and responsible AI capabilities, as well as the most
compliant certifications of any cloud in the world. We also offer tools and
resources to help you understand, protect, and control your AI
at every stage of innovation, including responsible ML tool kits, responsible bot development
guidelines and more. Azure AI portfolio has
options for every developer. Whether you're looking
for prebuilt AI models, advanced machine learning capabilities, or a low-code/no-code
development experience. In the next few minutes
I'll walk you through our AI services and capabilities, and how you can use them to enhance your applications with AI. So let's start by looking
at Azure Cognitive Services. Azure Cognitive Services provide the most comprehensive portfolio of customizable AI models on the market. And the first AI services
to achieve human parody in computer vision, speech and language. Azure cognitive services can be grouped into four core categories: Vision, language, speech and decision. All it takes is an API call
to embed the ability to see, hear, speak, search, understand and accelerate decision-making
into your apps. And you can also customize
AI models using your own data without any machine
learning expertise required. These models can also be
deployed to containers so you can run them anywhere. Let's start with vision. Vision AI models enable
your apps to identify and analyze content
within images and videos. Embed pre-built models into
your apps to help label content, extract printed and handwritten
text and recognize objects. You can also create a custom vision model for your specific domain and
scenario simply by uploading and labeling a few images. GE Aviation uses Azure Computer Vision to quickly convert handwritten
and printed documents to digital format, providing
a single source of truth for their maintenance record system. Next, we have language models. To build applications that can
understand natural language, create custom language models
to enable users to interact with your applications,
bots and IOT devices by using natural language. You can also translate texts in real time, across over 70 languages to support translation for call centers, multi-lingual conversational
agents and more. And take advantage of pre-built models, which can identify key
phrases and entities in text and perform sentiment analysis. So you can better understand
customer perception. Developers at the BBC use Azure's language understanding service to help their virtual assistant
understand user requests. And we're able to train a custom model with relatively few examples. The speech models allow you
to integrate speech processing into your apps and services. Save time by easily
transcribing speech to text, whether you're cataloging
customer service calls or creating a voice
enabled virtual assistant. Translate speech in real
time and build custom models to translate terms
specific to your business. Leverage over 110 voices
to build applications that can speak naturally or customize the voice
unique to your brand. Using Azure speech to text
and text to speech models, Motorola solutions helps
emergency first responders gain faster access to
important information through a voice powered virtual assistant. Finally, decision models enable you to make smarter decisions faster, create safe and positive user experiences with content moderation
capabilities that can detect and filter potentially offensive or inappropriate images, texts and videos. Deliver personalized
experiences for every user of your website or application with models and improve over time
based on user behavior. And build apps that can help
you identify potential problems before they happen. Airbus is running Azure's
decision AI models in containers to help
identify potential issues with their satellites. Accelerating the troubleshooting process. These cognitive services
are powerful building blocks for developers to add AI to applications. For business users, we provide
access to the same AI models through AI builder. Which provides a no-code
experience to train models and integrate them into apps within Microsoft power platform. For common solutions like chat
bots and AI powered search, we've gone a step further
providing services which accelerate development
for these solutions. These scenario specific
services often bring together multiple cognitive services
along with business logic and a user interface to
solve for a common use case. Let's take a look at just a few of the scenario specific
services Azure provides. Azure Bot Service enables you
to develop intelligent bots that help you enrich
your customer experience. Build a Q&A bot in just a few clicks or create your own
branded virtual assistant using the open and
extensible bot framework. To better engage their
customers, insurance provider, Progressive, use Azure bot
service to build a chat bot with the voice and personality of their iconic spokesperson flow. Next, we have Azure Cognitive Search. Today's organizations have
a wealth of information at their fingertips, but it
can be difficult to search and make sense of all this content. Azure Cognitive Search is a
search as a service solution with built-in AI capabilities. That gives you APIs and tools to deliver a rich search experience over
all kinds of content at scale. A great example is Penguin Random House, a leading book publisher
that's using Cognitive Search to index data on their consumers, retailers and book sales. Form recognizer helps
automate business processes by extracting key
information from documents such as forms and receipts. Chevron chose to use Form Recognizer because of its ease of implementation. And they've been able to
drastically reduce time by automating data extraction from reports in a wide range of formats. And Metrics Advisor
monitors the performance of your organization's growth engines from sales revenue to
manufacturing operations. It helps you quickly
identify and fix problems through a combination of
monitoring in near real time, adapting models to your scenario, offering granular analysis
with diagnostics and alerting. Noss telecommunications
is using Metrics advisor to identify potential
network device failures to improve customer service. Finally, if you're looking to develop advanced machine learning models, Azure Machine Learning
enables you to quickly build, train and deploy machine learning models with experiences for all
skill levels ranging from code first to a drag and
drop no code experience. Food and beverage company Nestle, chose Azure Machine Learning to help them build a custom cybersecurity
solution, which has resulted in faster detection times
and reduced false positives around malicious phishing attacks. Azure AI provides services
that empower all developers to responsibly and easily build mission critical
AI powered solutions. In future videos, I'll walk you through
foundational concepts and demos to help you get started building AI powered applications on Azure. So stay tuned. (upbeat music)
