Artificial Intelligence

Today, Artificial intelligence (AI) is an emerging technology world over and it has entered into the mainstream in every sphere of human activity..

AI is taking center stage at conferences and seminars and showing great potential across a wide variety of industries, including retail and manufacturing.

New products are being embedded with virtual assistants, where chatbots are answering to customer queries.

This AI plateau is happening under the surface, making our existing tech smarter and unlocking the power of data collected by the enterprise.

This means that widespread advancement in machine learning (ML) , computer vision, deep learning, and natural language processing (NLP) have made it easier than ever before to embed an AI algorithm layer into your software or cloud platform.

Meanwhile, companies such as Google, Microsoft, and Salesforce are integrating AI as an intelligence layer across their entire tech stack.

We at BrightSword IT Services, have integrated Artificial Intelligence capabilities in few of our applications in collaboration with our global partner Microsoft Azure.

For us, it is not just about following the latest trend, but rather leveraging a new technology that can positively impact your bottom line.

Machine Language is playing a key role in the development of AI.

Applications of Artificial Intelligence

Virtual personal Assistant
Simulation Modelling
Social Network Analysis
Image Analytics
Natural Language Processing
Visualization
Internet of Things (IoT)
Deep Learning
Machine Translation
Graph Analytics
Machine Learning.

Enterprises can employ AI for mining social data , driving engagement in customer relationship management (CRM) , optimizing logistics and efficiency in tracking and managing assets etc.

Few common areas where AI is implemented today

Retail banks use AI to offer suitable banking products to their customers.
Insurance companies leverage AI to verify identity, assess risk profiles and recommend coverage.
Healthcare providers are incorporating AI to for patient referrals and cases and diagnostics.
Retailers have been using AI to identify shopping patterns and recommend items to consumers.

Steps to Implement AI in your Organization

Identify the problems you want AI to Solve
- Begin exploring different ideas
- Explore how you can add AI capabilities to your existing products and services.
- Check if the technology is right for your business
Prioritize Concrete Value
- Assess the potential business and financial value of the various possible AI implementations
Acknowledge the Internal Capability Gap
- Know your capabilities from the technology and business process perspective.
Bring In Experts
- Bring in experts before you start building and integrating.
Integrate Data & Storage
- Integrate different data sets together, eliminate inconsistencies.
Jump start with your Automation Initiatives
- By embedding AI in your products and start with small projects to begin with.

AI Features provided by Azure

Vision
Image-processing algorithms to smartly identify, caption, index and moderate your pictures and videos.
Knowledge
Map complex information in order to solve tasks such as semantic search and intelligent recommendations.
Language
Allow your apps to process natural language with pre-built scripts, evaluate sentiment and learn how to recognize what users want.
Speech
Convert audio into text, use voice for verification or add speaker recognition to your app.
Search
Add Bing Search APIs to your apps and utilize the ability to comb billions of images, videos, news and webpages with a single API call.

You do not need to be the expert on AI, but you do need to understand what AI can do for organizations. Once this is done, you can proceed to automate key processes, collect and mine data to detect trends, patterns and outcomes, to start creating algorithms for machine learning, then build up to have AI for predictive responses.

While AI is still in its infancy, it can already do a lot of things well. One of the first things to realize is that you do not need to automate the whole process, but rather parts of it. The more focused the problem, the easier the AI solution design can be. The processes can be broken down into smaller parts and some of those can be very easily automated. This is the best approach given the technology available today.

Reach an expert to discuss how an effective Artificial Intelligence implementation in your applications can help move you business forward.

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Artificial Intelligence

Applications of Artificial Intelligence

Few common areas where AI is implemented today

Steps to Implement AI in your Organization

Identify the problems you want AI to Solve

Prioritize Concrete Value

Acknowledge the Internal Capability Gap

Bring In Experts

Integrate Data & Storage

Jump start with your Automation Initiatives

AI Features provided by Azure

Vision

Knowledge

Language

Speech

Search

Download Our Company Brochure

Enquiry

Call Us for More..

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