In today's modern era, AI and IoT are technologies poised to impact every part of the industry and society radically. Because most businesses devote their primary efforts to developing their brand, software applications, or network, new technologies are apt to transform how they operate. In addition, as companies attempt to draw better significance from the huge datasets gathered by linked devices, the potential of AI is accelerating the wider implementation of IoT. While businesses invest heavily in digitization, they are also incorporating AI throughout their IoT initiative, evaluating prospective future IoT ventures, and looking for ways to get greater value from current IoT deployments. Moreover, with the help of an AI development company, businesses can avoid unforeseen downtime, increase operational productivity, develop new services and products, and boost risk control.

The Internet of Things' killer app might be artificial intelligence. While it may be a stretch to classify artificial intelligence (AI) and its multifaceted offshoot machine learning (ML) as true applications, these techs can profoundly change IoT operations. AI makes IoT networks smarter and able to scale as needed without the risk of uncontrollable growth. IoT operations is an ongoing struggle to try to ensure that the thousands or more devices run properly and safely on an enterprise network and that the data that's being collected is both accurate and timely. While the sophisticated back-end analytics engines do the heavy lifting of processing the steady stream of data, ensuring the quality of the data itself is often left to somewhat archaic methodologies.

A recent survey of global business leaders indicates that the most significant predictor in realizing value from Internet of Things (IoT) initiatives across an organization is the heavy use of Artificial Intelligence (AI). The study, conducted by SAS, Deloitte and Intel with help from IDC, asked 450 business leaders from around the world about their use of IoT and AI technologies. Ninety percent of survey respondents heavily using AI in their IoT operations reported exceeding value expectations. The research also showed organizations using IoT with AI appear to be more competitive than IoT-only enterprises by a double-digit margin across a variety of business indicators like employee productivity, innovation and operating costs. "In these results, we are seeing that organizations working with IoT data realize that if they want to get the real value out of the data, they need AI and analytics," said Oliver Schabenberger, COO, SAS.

A survey of global business leaders reveals the most significant predictor in realizing value from Internet of Things (IoT) initiatives across an organization is the heavy use of artificial intelligence (AI). Ninety percent of survey respondents heavily using AI in their IoT operations reported exceeding value expectations. The research also showed organizations using IoT with AI appear to be more competitive than IoT-only enterprises by a double-digit margin across a variety of business indicators like employee productivity, innovation and operating costs. "In these results, we are seeing that organizations working with IoT data realize that if they want to get the real value out of the data, they need AI and analytics," said Oliver Schabenberger, COO at SAS. "I think it is fair to say that most successful IoT operations are actually AIoT operations." AIoT is defined as decision making aided by AI technologies in conjunction with connected IoT sensor, system or product data.

Artificial intelligence is the key to realising value from internet of things (IoT) initiatives, according to a recent survey of global business leaders. SAS, Deloitte and Intel, with input from IDC, asked 450 business leaders about their use of IoT and artificial intelligence (AI) technologies. Feedback indicates that 90% of survey respondents heavily use AI in their IoT operations (AIoT) – exceeding value expectations and becoming more competitive than those who solely use IoT. Just 12% of respondents use IoT to inform planning decisions, but when AI enters the picture, respondents using the data for daily planning increases to 31%. "In these results, we are seeing that organisations working with IoT data realise that if they want to get the real value out of the data, they need AI and analytics," comments SAS chief operating officer Oliver Schabenberger.

IoT Solutions World Congress -- A recent survey of global business leaders reveals the most significant predictor in realizing value from Internet of Things (IoT) initiatives across an organization is the heavy use of artificial intelligence (AI). Ninety percent of survey respondents heavily using AI in their IoT operations reported exceeding value expectations. The research also showed organizations using IoT with AI appear to be more competitive than IoT-only enterprises by a double-digit margin across a variety of business indicators like employee productivity, innovation and operating costs. "In these results, we are seeing that organizations working with IoT data realize that if they want to get the real value out of the data, they need AI and analytics," said Oliver Schabenberger, Chief Operating Officer at SAS. "I think it is fair to say that most successful IoT operations are actually AIoT operations." AIoT is defined as decision making aided by AI technologies in conjunction with connected IoT sensor, system or product data.

Businesses are increasingly adopting connected technologies such as wearables and office sensors to streamline operations and boost productivity, and as a result, the Internet of Things (IoT) industry is on the up. By 2020, there'll be more than 50 billion internet-connected objects in use, and the industry will be turning over trillions in profit annually, according to Cisco. At the same time, these devices will be generating large amounts of data. Clearly, the industry is entering a golden age. But while there's major potential here, there are fears that cybercriminals are eyeing up IoT as a lucrative opportunity.