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What is Artificial Intelligence?

With the advent of “Siri” and “Alexa”, Artificial Intelligence (AI) became a noteworthy creation of mankind. Machines have been empowered to carry out complex tasks that would otherwise require human intelligence for its completion. One of the earliest objectives of using Artificial Intelligence was tailoring human knowledge into spatial and temporal deductions, a phenomenon that constitutes ‘’knowledge engineering’’. A part of this phenomenon includes the aggregation of all knowledge known to an average person into a full-fledged database extrapolating to world affairs.

Uncertainty of information has been extensively obliterated due to the introduction of AI as its primary goal was reasoning and problem-solving. AI has progressed so much in recent years that machines can perform classification and regression analysis on just minimal input data which would otherwise require human intervention. Machines can put a perceived object into a specific category provided they receive input data first. Certain machines can perform these tasks in an unsupervised manner wherein perception and further processing of data are unmanned. Machines can selectively vary outputs based on the diversity of information they perceive at their receiving end, something that constitutes ‘regression’.

AI in modern society

AI has found applications in a variety of fields such as Astronomy, Medical Science, Finance, Data Security, Social Media, E-commerce, Entertainment, Robotics, Agriculture and Education. The size of AI market is estimated to reach 180 billion by 2025 with a predicted annual growth rate between 2020 and 2027 of 33.2%. All the above-mentioned sectors need a common platform for AI deliverables to increase the rate of their operations. ‘AXICOR’ is one such platform.

The need for ‘AXICOR’

‘Axicor’ works on the principle of ‘’actionable insights’’ wherein data with potential for exponential growth can be harvested and processed to produce sophisticated outputs. In short, ‘’dumb’’ data can be taken advantage of by extracting intelligence from it. As many professional sectors demand ‘’actionable insights’’, a platform like ‘Axicor’ is the need of the hour.

Customer experience has been reported as the primary reason for availing artificial intelligence by 40% of firms. While most marketers are still unsure about how to use data to achieve business objectives, 71% of marketers feel that AI will be helpful for logical customization. By 2020, 80 percent of marketers will have implemented chatbots as part of their customer service strategy.

‘AXICOR’ services

Axicor provides AI solutions for a variety of industries, including healthcare, banking, manufacturing, transportation, government, telecommunications, sports, energy, workplace safety, data centers and IT infrastructure, and call centers. Their AI solutions go beyond typical Business Intelligence (i.e. reporting on what happened) to anticipate the likelihood of:

What will occur?

What are the likely outcomes?

What are the disadvantages?

Upon answering the above questions, the company advises on what steps should be taken either to avoid or achieve the desired outputs. Additionally, they help their end-users with Big Data Architecture needs which include consulting, solution design, integration and support. ‘AXICOR’ specializes in the monetization of data, detection and anticipation of fraud, preventing equipment failure or prediction of adversity before it takes place. The founders mentioned, “Why limit yourself to Business Intelligence insights when you can use Artificial Intelligence to provide foresight?”

Joe Bashta, CEO, Axicor

Joe Bashta has worked in the ICT (Information and Communications Technology) field for over 32 years. He began his career in the 1980s as a trainee Mainframe Computer Operator in the naive Information Systems business. Since then, he has worked in a range of different sectors, with progressively increasing responsibilities, both domestically and internationally. He worked at IBM global services first in Mainframe operations followed by Quality Assurance Auditing and Strategic Outsourcing. Later he was promoted to Infrastructure Project Manager which he diligently committed to for 2 years. Later he worked as a Business Analyst and Business Development Manager until he finally decided to start ‘AXICOR’ in 2010.

He describes his function at ‘Axicor’ as, “My present position as Co-Founder and CEO of Axicor is the result of those positions and experiences. Co-founding this bootstrapped technological start-up was like doing a real-world/practical Master of Business Administration program (MBA).’’

List of Specialities of AXICOR

Artificial Intelligence

Predictive Analytics

Prescriptive Analytics

IoT

Edge Analytics

Big Data Architecture

Predictive Maintenance

Business Intelligence

Machine Learning

Data Mining

Data Warehousing