What you Need to Know about Artificial Intelligence in 2017

Artificial Intelligence (AI) has now reached levels of advancement that were previously unthinkable or found only in sci-fi books and movies. We now have not only proved the existence of black holes, multi-dimensions (the CERN Hadron Collider and the D Wave Quantum Supercomputer), and the God Particle, but have also created self-replicating AI nanobots and robots to perform tasks, smart technology (driverless cars and planes, smart homes) and AI algorithms.

Thinking machines use several processes to mimic the neurological pathways of the human brain and make sense out of structured or unstructured data found online contained in human language and text.

Artificial Intelligence

These include machine learning knowledge management, cognitive intelligence, Semantics Technology and Natural Language Programming (data/text mining), Robotic Process Automation (RPA), and many more which are entering the market at a progressive rate.

They are used in apps by businesses and companies through IT/Cloud computing smart technology, in order to maximize productivity and organizational efficiency, cut costs and bureaucracy, and save time among many other benefits.

One of the many revolutionary milestones gaining ground in 2017 among businesses is the AI potential to boost marketing and branding. AI personal assistants and bots are already online and processing, filtering and condensing relevant project-oriented information valuable to a company, predicting future challenges before they appear, anticipating consumer trends and variations in supply and demand by studying human behavior- particularly through the entire world wide web including social media, virtual libraries, academic and business journals, and every discipline of human study.

These algorithms can help small businesses boost their competitive potential in an already crowded marketplace where big companies (monopolies) rule the stage, and guide the company to discover new marketing strategies as well as previously unknown business intel from across the entire spectrum of human knowledge.

Three important processes used to boost marketing strategies and deliver personalized consumer products and services through targeted marketing are Digital Marketing/Marketing Automation, Sales force automation, and Data Analytics. These help to target specific consumer audiences through social media analytics—by learning about consumer behavior.

Through text mining for example, they sift through every consumer blog and can determine a favorable time to launch targeted tweets. This promotes a more direct contact with the clientele and also business partners. Similarly, Enterprise Resource Planning (ERP) systems are also adopting AI apps and Cloud computing to reinforce the already successful software programs that were boosting businesses more than a decade ago, and that improved collaboration between employees and managerial levels as well as increase the shared access to data through a central database.

Machine Learning especially is predicted to generate the bigger revenue, followed by Natural Language Processing. Knowledge Management is a vital component in AI technology processes; it deals with cognitive intelligence and semantics technology, including many other fields of human activity and science (psychology, epistemology, cognitive science).

It is used to recognize human language and speech, extract meaning, and learn how humans act, which is why facial recognition is another process that is becoming a popular trend—not only to optimize customer engagement and experience, but also to connect more directly with audiences and personalize products to enhance customer satisfaction and demand. AI companies such as Expert System are a valuable resource for businesses by offering access to knowledge management systems, and allowing them the ability to learn more about their customers and organize all the vital data they have into information that can improve business.

Basically, we live in an ever-changing world at this point, and the same goes for the world of AI, which is why it is essential for companies to keep up to date with all the recent advancements and upgrades. Training your workforce into all the multiple benefits of AI tech is another great strategy to gain a jumpstart before AI deployment and implementation.