Artificial Intelligence Software

Artificial intelligence software is a computer application capable of intelligent behavior like learning, reasoning, and problem-solving. It performs a range of tasks that typically require human intelligence, from the simple job of timekeeping to the complex process of analyzing millions of data sets.

AI software enhances the processes and operational efficiency of businesses and organizations across industries, from manufacturing and logistics to retail and marketing. Even in security and surveillance, machine learning helps authorities identify threats through image capture and voice recognition.

The ubiquity of AI nowadays is undeniable as it becomes a key feature to most computer applications for industrial, commercial, and everyday use. AI software is found in production floors, data centers, ATMs, car infotainment systems, mobile phones, smart TVs, or the apps and websites you frequently visit.

Can machines think?: AI and AI software

Building on some theoretical developments of the previous decade, Alan Turing proposed the Turing Test (1950), a method of determining whether a machine can think. It inspired further research in artificial intelligence, a term first coined in 1956 at a Dartmouth conference organized by John McCarthy. McCarthy co-founded the MIT Artificial Intelligence Project with Marvin Minsky in 1959.

The idea of creating intelligent machines to think and act like intelligent humans drives the development of AI. With AI, a machine can think, mimicking the human brain, processing information, and recognizing patterns from data. A famous breakthrough in artificial intelligence was in 1997, when the IBM-developed software Deep Blue defeated Gary Kasparov in a chess match.

Today, artificial intelligence is crucial to all business and operational processes that involve volumes of data, especially in manufacturing, self-driving cars, and mobile applications.

How does AI software work?

With its intelligent algorithms or mathematical instructions for calculations and automated reasoning, AI combines volumes of data with incredible speed, efficiency, and precision. It lets the software learn from data, identify features and patterns, and predict future trends.

AI is a broad field that includes the following:

  1. Neural network. A neuron-like interconnection of units, it processes and relays data from one unit to the next to derive meaning.
  2. Machine learning. It teaches machines to learn and automates analytical data modeling for hidden insights.
  3. Deep learning. It leverages advanced computing to recognize patterns and spot trends in large amounts of data.
  4. Computer vision. Relying on deep learning to identify complex data patterns, it processes, analyzes, and interprets captured videos and images.
  5. Natural language processing. It recognizes, understands, and generates human language, allowing humans to interact and communicate with the computer using ordinary speech.

AI software processes data to better interact with humans, provide support for specific tasks, and help make quick and informed decisions.

Industrial and enterprise AI software use cases

Integrating the Internet of Things (IoT) that collects massive amounts of data with AI will do wonders in data-driven industries like manufacturing, healthcare, transportation, security, government services, and telecommunications. AI is also invaluable in enterprise network management dealing with voluminous data traffic to ensure the security and integrity of corporate data.

Top industrial use cases of AI software include quality management, equipment maintenance and monitoring, digital twins (pairing of physical and virtual attributes of a product or structure), supply chain (warehouse management and logistics), demand forecasting and inventory management, use of robots in manufacturing, and customer management.

Computing makes it possible for machines to learn, process knowledge, decide and act as humans do. Machine learning and deep learning enhance processes, functionality, and operations for the benefit of the end-users.

What are some examples of AI software?

AI software becomes integral to everyday life, recognizing our voices and faces, performing tasks with tremendous precision, identifying problems to resolve with greater efficiency.

The most popular examples of AI software are Google Assistant, Amazon’s Alexa, Apple’s Siri, and Microsoft’s Cortana as they reach a large number of audiences. Android and Apple smartphones have image recognition software for added security. Autonomous cars rely heavily on AI to ensure passenger and road safety. Businesses also employ AI-powered robo advisors and bots to interact with their customers 24/7.

Masdima’s AI software provides an intelligent disruption management platform that assists businesses in the aviation, rail, public transport, and logistics industries deal with and resolve real-world problems. Data scientists and developers find H2O.ai an attractive platform to build applications. It democratizes artificial intelligence by providing users with sophisticated but easy-to-use applications. And SAP’s newly acquired SwoopTalent streamlines the job and workflow of HR professionals.

Benefits of AI Software

  1. Simplifies the otherwise complex tasks, optimizing and routine tasks and processes.
  2. Increases productivity, precision, and efficiency in processes, functionality, and operations.
  3. Reduces costs (money, time, and effort) as it significantly helps prevent occurrences of human error. Plus, it is available all the time, which benefits help centers or customer services with 24-hour-a-day operations.
  4. Enhances end-user experience in daily applications — banking, entertainment, retail, education, or travel.
  5. Business leadership can make quicker and more informed decisions, with AI processing ultra large amounts of data sets for actionable insights.
  6. Spurs growth, innovation, and new invention as people have more time to identify and resolve complex problems.
Kelvene Requiroso
Kelvene Requiroso is a writer and an enthusiast interested in the interplay between technology and everyday life. He writes for TechnologyAdvice, Baseline, eSecurity Planet, and Webopedia. Also a lover of science fiction and fantasy, he publishes an ongoing web novel series. He has previously worked with non-profits and non-government organizations in Manila, Philippines.

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