Top 5 Technology Trends to Watch Out For in 2023

 Everything around us is getting upgraded. And technology is no exception. Every year we get to see new technology trends that affect the global supply chain challenges, labor shortages, and economic uncertainty to a great extent. For companies, the role of artificial intelligence (AI) is of paramount importance. For many organizations, AI is viewed as the solution to a lot of the uncertainty bringing improved efficiency, differentiation, automation, and reduced cost. Until now, AI has operated almost exclusively in the cloud. But increasingly diverse data streams are being generated around the clock from sensors at the edge. These require real-time inference, which is leading more AI deployments to move to edge computing. For airports, stores, hospitals, and more, AI brings advanced efficiency, automation, and even cost reduction, which is why edge AI adoption accelerated last year.

Next year, we will be living in a similarly challenging environment with the help of the best of artificial intelligence.


  • Autonomous robots.

Often seen as a far-off use case of edge artificial intelligence, the use of intelligent machines and autonomous robots is on the rise. From automated distribution facilities to meet the demands of same-day deliveries to robots monitoring grocery stores for spills and stockouts, to robot arms working alongside humans on a production line, these intelligent machines are becoming more common.

For this future to happen, one area of focus that needs attention in 2023 is aiding human and machine collaboration. Automated processes benefit from the strength and repeatable actions performed by robots, leaving humans to perform specialized and dexterous tasks that are more suited to our skills. Expect organizations to invest more in this human-machine collaboration in 2023 as a way to alleviate labor shortages and supply chain issues


Read More: What programming languages are used by AI engineers?


  • AI use cases with high ROI

Return on investment is always an important factor for technology purchases. But with companies looking for new ways to reduce costs and gain a competitive advantage, expect AI projects to become more common. For example, supermarkets and big box stores are investing heavily in AI at self-checkout machines to reduce loss from theft and human error. With solutions that can detect errors with 98% accuracy, companies can quickly see a return of investment in a matter of months. AI industrial inspection also has an immediate return, helping augment human inspectors on factory lines. Bootstrapped with synthetic data, AI can detect defects at a much higher rate and address a variety of defects that simply cannot be captured manually, resulting in more products with fewer false negative or positive detections. 


  • Artificial Intelligence functional safety.

Related to the trend of human and machine collaboration is that of AI functional safety. First seen in autonomous vehicles, more companies are looking to use AI to add proactive and flexible safety measures to industrial environments. Historically, functional safety has been applied in industrial environments in a binary way, with the primary role of the safety function to immediately stop the equipment from causing any harm or damage when an event is triggered. AI, on the other hand, works in combination with context awareness to predict an event happening. This allows AI to proactively send alerts regarding future potential safety events, preventing the events before they happen, which can drastically reduce safety incidents and related downtime in industrial environments. New functional safety standards that define the use of AI in safety are expected to be released in 2023 and will open the door for early adoption in factories, warehouses, agricultural use cases, and more. One of the first areas for AI safety adoption will focus on improved worker safety, including worker posture detection, falling object prevention, and personal protection equipment detection. 


  • Cybersecurity

Edge artificial intelligence in industries like manufacturing, energy, and transportation requires IT, teams, to expand their security footprint into environments traditionally managed by operational technology teams. Operational technology teams typically focus on operational efficiency as their main metric, relying on air-gapped systems with no network connectivity to the outside world. Edge artificial intelligence use cases will start to break down these restrictions, requiring IT to enable cloud connectivity while still maintaining strict security standards. With billions of devices and sensors around the world that will all be connected to the internet, IT organizations have to both protect edge devices from direct attack and consider network and cloud security. In 2023, expect to see artificial intelligence applied to cybersecurity. Log data generated from IoT networks can now be fed through intelligent security models that can flag suspicious behavior and notify security teams to take action. 


So, these were some of the most popular artificial intelligence trends that will be ruling the roost in 2023. For more such informative content, reach out to https://www.itscybertech.com/

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