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Machine Learning Platforms (Environment)
A platform for automating and accelerating the delivery lifecycle of predictive applications capable of processing big data using machine learning or related techniques.” Now a days, computers can also easily understand, and they can be extraordinary intelligent!
Machine learning (ML) is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to “learn” with data, without being explicitly programmed. By providing algos, application programming interfaces, evolution and education tools, big data, applications and other machines, They are currently mainly being used for prediction and classification. Adext is the only Audience Management as a Service in the world that applies real AI and machine learning to digital advertising.
Compnaies which providing Machine Learning platforms include Google Inc., IBM Corp., Microsoft Corp., Amazon Web Services Inc., BigML Inc., FICO, Yottamine Analytics, Ersatz Labs Inc., Predictron Labs Ltd.
2. Peer-to-Peer Networks
A peer-to-peer (P2P) network in which interconnected nodes (“peers”) share resources amongst each other without the use of a centralized administrative system. A network based on the client-server model, where individual clients request services and resources from centralized servers.
Latest Example of peer-to-peer networks is Bitcoin Network is a peer-to-peer payment network that operates on a cryptographic protocol and have the ability to solve some of the world’s most challenging or demanding problems, by collecting and analyzing large amounts of data, says Ben Hartman, CEO of Bet Capital LLC, to Entrepreneur.
Users send and receive bitcoins, the units of currency, by broadcasting digitally signed messages to the network using bitcoin cryptocurrency wallet software .
3. Digital Twin/AI Modeling
Digital Twins is a approach based in IoT but require the knowledge of machine learning and AI. It’s a major enabler of event processing as opposed to traditional request processing. In many respects this is old wine in new bottles. One of those exercises in renaming an existing practice to draw attention, much like separating out prescriptive analytics from predictive analytics a few years back. A digital twin is intended to be a digital replica of physical assets, processes, or systems, in other words, a model. It is most often referenced as an outcome of IoT (internet of things). Companies using digital twin and AI modeling technologies include VEERUM.
4 . Speech Recognition
Speech recognition is the inter-disciplinary sub-field of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the linguistics, computer science, and electrical engineering fields. 
Speech recognition applications include voice user interfaces such as voice dialing (e.g. “Call home”), call routing (e.g. “I would like to make a collect call”), domotic appliance control, search (e.g. find a podcast where particular words were spoken), simple data entry (e.g., entering a credit card number), preparation of structured documents (e.g. a radiology report), speech-to-text processing (e.g., word processors or emails), and aircraft (usually termed direct voice input).
Most recently, the field has benefited from advances in deep learning and big data, The worldwide industry adoption of a variety of deep learning methods in designing and deploying speech recognition systems.
These speech industry players include Google, Microsoft, IBM, Baidu, Apple, Amazon, Nuance,SoundHound, iFLYTEK many of which have publicized the core technology in their speech recognition systems as being based on deep learning. Siri is just one of the systems that can understand you.
5. Virtual Agents
A virtual agent is a computer agent or program capable of interacting with humans. The example of Virtual agents is chatbots. Virtual agents are using for customer service and support and as smart home managers. 
Some of the companies that providing virtual agents include Artificial Solutions, Microsoft , Assist , Google,Amazon, Satisfi,Apple, AI, Creative Virtual, IBM and IPsoft.
6. Deep Learning
Deep learning platforms use special category of Machine Learning that include artificial neural networks with various abstraction layers that can copy the human brain, processing data and creating patterns for decision making.
It is presently mainly being used to recall or recognize patterns and classify applications that are only compatible with large-amount of data sets.
Top Deep Learning Companies are IBM, Google (Alphabet Inc), Facebook, Microsoft, Airbnb, Apple, Salesforce, Orbital Insight, Maana, Twitter, Pinterest, DigitalGenius (FinGenius), Cylance, DataRobot, NVIDIA Corporation and Many more.
7. Enterprise Robotic Processes Automation
Robotic process automation is your “digital workforce,” made up of cognitive software robots that can automate any business process. Robotic processes automation uses scripts and methods that Xerox and automate human tasks to support corporate processes. It is specifically beneficial for the situation when employ humans for a distinguish job or task is too Upscale or inefficient. Robotic Process Automation is well suited for processes that are clearly defined, repeatable and rules based. Based on these criteria, it can help organizations across numerous industries automate the completion of a wide variety of tasks, For instance is Adext a platform that automates digital advertising processes using Artificial Intelligence.
Big players of robotic processes automation are Automation Anywhere, Blue Prism,Daythree Business Services, IntelliCog Technologies, Kofax, Kryon Systems, Pegasystems, Qihan, Softomotive, UiPath.etc.
Mr. Akhilesh Latoria,
Assistant Professor,
School of IT,
AURO University