Just a decade ago, you would gloss through a TV Guide or ask a friend to recommend a new series worth watching. Cut to today; Over-the-top (OTT) platforms are equipped with a lot more data mining and understanding of viewers’ preferences to make personalized show recommendations. AI-led recommendation engines have truly revolutionized how we consume content, and OTT is not the only segment that has undergone such a transformation. With its far-reaching impact across industry segments, AI has unleashed the Fourth Industrial Revolution and is changing business processes as well as how industries reimagine their customer’s preferences.
Many AI companies have been at the forefront of this transformation, making an impact on clients’ businesses and processes. Here are few perspectives that are noteworthy across industry segments.
AI Has Led The Transformation From The Front
1. Ushering In The Smart Manufacturing Era: AI, in many ways, is spearheading the “smart manufacturing” era where there is newfound efficiency in the supply chain along with a robust R&D setup. The AI-led change in the manufacturing sector has proven how reinforcement learning and deep learning can be combined to cut down on costs associated with vehicle route planning. This might not have been possible if traditional techniques such as genetic algorithms were used. AI also uses intelligent detection techniques such as audio for quick detection of defects in machines. The digital twin technology simulates machine behavior and then performs preventive maintenance.
2. Enhancing Gamer Experience Across The Board: Gaming companies across the globe have turned to AI to make each game session an immersive experience. The main scope of using AI-based tools in games is to provide non-player characters (NPCs) basic intelligence and make them interact with players in a better fashion. AI firms are working towards delivering a new age gaming experience with a variety of breakthroughs such as making use of customized maps unique to each gamer, forming different team combinations based on the skill level of each player, assisting game designers in the development of new game characters in real-time among others. These breakthroughs have gone into enhancing the gamer experience.
3. Smarter Hyper-Personalization In OTT: The OTT industry is extensively using AI and deep learning-based algorithms to make content more interactive in nature. Such algorithms help media companies enhance customer experience by building smarter search and recommendation engines, facilitating hyper-personalization at scale in the sector.
4. Stronger Recommendation Engines In E-Commerce: Smarter recommendation engines are at the heart of e-commerce sales. It has been enhanced by building the Actor-Critic Network for e-commerce players. Advanced reinforcement learning concepts like Actor-Critic Network easily identify how and when user behavior is changing and suggests what to recommend and how to recommend new products.
Transformations On The Anvil
The above use cases are not the only ones going through transformations enabled by AI. In fact, AI is making breakthroughs in energy and utilities as well. For example, in the energy and utility sector, with the progress made in IT/ OT systems, there is the ready availability of data, swift identification of optimal operating characteristics can happen without explicit programming. Self-adjusting mechanisms will come into play when an anomaly is encountered.
What The Future Holds
The transformative impact of AI across business sectors is undeniable. Large organizations are making heavy investments in AI to transform their own businesses and user experience and raise the bar for the industry itself. In a few years, AI-led transformation will be pervasive.
Globally, business leaders are realizing the importance of artificial intelligence. Organizations that will invest in AI today to internalize AI across their enterprise will be the ones that remain relevant in the coming decade. Watch this space for more.
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