Artificial Intelligence and Machine Learning are two technologies which are disrupting various industries, sectors, and processes through data and automation. Companies are opting for data-driven services, and are capturing their data sources for insightful decision-making. Hi-Tech companies are at the perfect stage where they can deploy various services through the help of technology by integrating multiple services for operational efficiency. Modern Hi-Tech organizations are imparting AI to enable automated processes for data processing and better product decisions.

The HiTech Market

The Hi-tech market has been continuously growing and maturing in terms of reach and production abilities. There is still an ample amount of space for new Hi-tech solutions, as consumers are adopting electronics worldwide at scale. There has been explosive growth in consumer devices in the APAC and BRICS countries. Hi-tech companies operations lead to 68.7 per cent of the overall cloud market share. Hi-Tech creators seem to be focusing on the next significant trends, including Augmented Reality, Virtual Reality, Cloud Computing, Curved smart screens, foldable screens and wearables.

Enterprises incorporating AI

Large scale enterprises are integrating APIs to enhance processes in the supply chain to differentiate between other players and gain a competitive edge. These large-scale enterprises are already using AWS, Cloud services and are ready to deploy AI-led services on their infrastructure. The Hi-Tech Solutions are now included with AI applications which provide a personalized experience for users through Machine learning in various segments of products and services.

How Hi-Tech Organizations utilize AI and Machine Learning

Companies are choosing up Machine learning and Artificial Intelligence for the sector’s overall growth. The technologies are already impacting various business domains.

Artificial intelligence brings personalization to Hi-Tech applications through Natural language processing. Users previous interactions, web traffic, and user behaviour help companies to configure data models and create tailored interfaces to convert more users. There has been massive progress in personalization in the software arena which captures various data points. The same goes for hardware manufacturers, where there are multiple sensors which can be equipped on consumer electronics. Through the power of data, hardware manufacturers can get detailed analytics of the usage across all devices. Below we have compiled the uses cases of AI and ML for Hi-tech Organizations.

Automation

The Hi-Tech industry is facing automation at various layers. The industry has multiple repetitive tasks which are now handled by Artificial Intelligence-based Robotics which can repeat tasks with monotony and without any frauds.

Hi-Tech organizations regularly face issues on how to keep the customer engaged. By automating the customer service requests by chatbots, companies can save time and indulge with the customer on a personal level by interaction and engagement. Chatbots provide a myriad of insights by having conversations. The industrial automation in the manufacturing process leads machines communicating with each other for smart and efficient production.

Deploying Code

Hi-tech companies should carefully deploy code to avoid any bugs at the end-user’s device. Faulty production code published on live can lead to various repercussions leading to a damaged reputation and loss in revenue. In a competitive market, manual deploying leads to increased time to market and faulty code base can crash an enterprise’s brand identity and can give leverage to their competitor.

Artificial intelligence is a game-changer for Hi-tech companies as it can audit code, apply multiple checks and parameters to ensure the code is of good quality. The deployment can be managed by AI Bots, which can push releases efficiently, maintain the release logs.

Predictive Analytics

Hi-tech companies can leverage Predictive Analytics to provide an enhanced user experience to increase the churn rate of Hi-tech products and services. Predictive Analytics can provide detailed insights of user behaviour, preferences, interests, triggers, alerts, past interactions and help companies to make an informed decision on the next product launch. By using Predictive Analytics in the Supply chain arena, enterprise can enhance products procurement, development and delivery and make the manufacturing journey more efficient.

Enhanced Security

Hi-tech companies are equipping software-led services in their core processes. It requires robust cloud security to avoid security breaches on the enterprise infrastructure. Artificial Intelligence provides Hi-tech enterprise with the possibility of robust security services which helps automated threat detection and quarantine. From user data to confidential enterprise information, a single breach for a Hi-tech company can cost them millions of dollars.

Artificial Intelligence aligned with Hi-Tech products provides enterprises with an opportunity to embrace new ways to gain market share. Large scale electronics manufacturing enterprises are already evolving, and industry experts predict that the adoption of technology in Hi-tech will continue to grow.