Artificial Intelligence or AI is the use of algorithms that simulates human behavior to perform cognitive functions. Use AI to solve problems through interaction, learning, visual perception, planning, reasoning, and natural language processing.

Artificial Intelligence is a broad and generic term like any other computer software program which engages human-like processes. Thus, calling an application AI might be correct but will not cover its specifics.

The most widely available notion about AI is emerging out of a sci-fi movie. AI has increasingly become a part of our day-to-day routines, such as Siri and Alexa are two of our personal AI(s), now integral parts of our daily lives.

Even though AI has got incorporated into our lives only recently, the concept of AI is prevailing since 1956. It took decades to develop into a technological reality. Nowadays, the proliferation of AI is virtually taking over every business and has emerged as a crucial viewpoint.

Applications of AI

Transformation of Marketing and Sales

The invention of new technologies has changed marketing as a function. Facebook uses machine learning algorithms to keep track of user behavior and target ads based on the search. AI can generate news articles in a matter of a few seconds.

Marketers can now automate routine tasks and acquire relevant data through AI. Thus, AI enables marketers to spend more time in the core responsibilities of reaching out to customers and generate revenue.

A leading global car manufacturer collaborated with Systech to achieve the fundamental objectives of a unified analytics platform with a 360 degrees business view that helped amplify business growth. A powerful insight that helped them expand was when opportunity analysis presented potential new sales and service location setup opportunities in geographies where they did not have a presence.

Data Management

AI and data management systems are synergistic. Once deployed into data management mechanisms, AI can simplify and automate processes related to data quality, governance, metadata management, core data management, and enterprise data analytics.

The key area of AI application in Data management includes intelligent Enterprise Data Catalogs, a data and metadata management tool to organize data into a format of data analytics guidebook. As a subset of Enterprise Data Catalog, Augmented Data Catalog uses machine learning to automate the manual tasks involved in cataloging data — metadata discovery, ingestion, categorization, curation, and enrichment.

Augmented Data Catalogs deployed by Systech have assisted various enterprises in developing go-to-market plans using factors like market size by geography, current sales throughput, and usage metrics.

Automation of Workload

As expected, AI will create more opportunities for resource management. For instance, consider the Real Estate firms that use drones and AI-powered image processing applications to monitor infrastructure. In a nutshell, this goes beyond human capability and exorbitant expenses to yield results in no time.

AI applications collect and analyze data from smart sensors. Thanks to IoT and AI solutions, organizations can increase productivity, reduce operating costs, and create a knowledge-based economy.

London-based National Free Hospital collaborated with DeepMind (an AI start-up owned by Google) to detect acute kidney injuries and sight conditions with almost no human interference.

Security and Fraud Detection

Cyber-attacks are on the increase, and so are the more sophisticated tools to breach cyber defences. Organizations are heavily investing in real-time threat detection, mitigation, and prevention. The AI software feeds off a large sample of data and determines valid transactions based on the accumulated data.

Through machine learning algorithms, IT security experts can enable AI solutions to monitor, detect anomalies and respond to threats. AI is an essential component in cybersecurity infrastructure that provides a compact multi-layered strategy for fraud detection and security.

Systech works with national banks and insurance agencies to secure online transactions by adopting on-platform fraud detection, data encryption, and data governance. All of these provide top-notch security and enhance performance.

Customer Service

Websites are rapidly implementing automated AI chatbots that are capable of understanding natural human language. Human-like AI chatbots readily assist customers, scan, and find basic requirements. Also, they redirect to particular websites or extract information from websites for further assistance. H&M is among the pioneers to get onboarded with the chatbot facility.

Systech is driving business transformation via the application of data, analytics, and AI to provide the ultimate cloud environment. The data-driven decisions empower businesses to enhance performance, generate phenomenal outcomes, and improve customer experience.

If you are searching for ways to gain a more competitive edge and modernize your business, the team at Systech can offer the best solutions to all that your enterprise needs. Connect with us today to learn more about how we can help your business reach the next level.

Stay tuned to explore new insights on digital transformation in our upcoming blogs.

If you have any suggestions for an upcoming article, or would like to volunteer for an interview, please reach out to Kirtika Banerjee at kirtikab@systechusa.com.