Two is better than one, isn't it? This is undoubtedly true in the case of IoT and machine learning. These two most popular and trending technologies are offering a solid growth system for companies if implemented together correctly. When combined, they help you unlock the true power of data and boost business efficiency, sales, and customer relationships. Therefore, incorporation of IoT and machine learning in business is seen on a wide scale.

Wearable devices are gadgets that can comfortably be worn on a body. These devices have intelligent sensors connected to the internet for collecting data. The growing partnership and collaboration for bringing AI functionalities to wearable devices provide new developments in AI wearable devices in the coming years. In today's busy schedule, people want to improve their lives by tracking daily activities. AI enables wearable devices to significantly change people's lives by tracking and maintaining data of your diet and body movements; monitoring blood pressure; providing a trendy, safe, and secure lifestyle with IoT and Machine Learning technologies. The global Wearable Fitness Technology market is expected to witness progressive growth in the coming years due to the increasing consumer preferences regarding Wearable Fitness Technology.

Amazon Web Services (AWS) announced that Apollo Tyres, India's leading tyre manufacturer, is going all-in on AWS to digitally transform. By moving all of its IT infrastructures to AWS, Apollo Tyres can use AWS's broad portfolio of services to innovate new customer experiences while driving productivity, compliance, and process efficiency gains globally, across seven factories. Apollo Tyres will draw on the breadth and depth of AWS capabilities, including Internet of Things (IoT), data and analytics, and machine learning, to transform into an agile, data-driven enterprise. Using data from the factory floor and real-time information from production machines, like tyre rubber mixer machines, Apollo Tyres can expand operational intelligence capabilities and more accurately manage machine utilisation, ensuring high-quality levels and machine efficiency. With AWS, Apollo Tyres is connecting all of its factories in the cloud this year in India and Europe.

The next phase of networking will depend on IT learning to wrangle modern technologies in ways that simplify operations and help humans make decisions. That's the upshot of a new report by Cisco, which specifically called out technologies like machine learning, machine reasoning and automation. According to the report, "2020 Global Networking Trends Report," the new era of networking will require these technologies to power new ways of building and operating networks and solving associated business challenges. "Organizations need a new, integrated architecture for each network domain, one that is customized to meet the specific needs of that domain and that provides a way to communicate and enforce consistent policy across all domains," the company said. Cisco concluded by positioning intent-based networking -- which it offers -- as the new kind of network that's needed to harness emerging technologies and leverage new capabilities to meet business goals.

The need to deliver on rapidly evolving customer expectations and simultaneously ensure profitability are driving businesses to rethink the way they have been executing supply chain and logistics operations. Achieving this twin objective is not easy. To address this, savvy businesses have been experimenting with multiple disruptive technologies for quite some time now, hence opening the doors to solutions that are driven by technologies like machine learning, the Internet of Things (IoT), automation, data analytics and more. From enabling real-time monitoring and visibility of ground-level activities, improving productivity to reducing operational expenses, these technologies are making core supply chain and logistics processes more efficient. With regards to the world of supply chain and logistics, two disruptive technologies simply stand out–Machine Learning and IoT.

Artificial Intelligence (AI), machine learning and the internet of things (IoT) lead emerging technology conversations across the world. Companies recognise that these technologies are ready to be used to drive real business benefits. The Asia Pacific and Japan (APJ) region is set to pick up the pace on these two fronts. According to a recent cloud survey by MIT Technology Review Custom and VMware, more than 70% of non-users of AI in APJ said their organisations will adopt the technology within five years. IDC forecasted global IoT spending to surpass $1 trillion USD in 2020, with APJ leading the way.

It's well understood that IoT is going to provide a lot of data. And that data will be used to feed applications. Machine learning will help provide the algorithms that convert that data into action. And that action is what we, the consumers, will benefit from. This means that IoT and machine learning will need to intersect.

Future generations of blockbuster movies might be determined based on the ability to re-shape content during the film based on viewers' reactions. Disney Research is already tracking reactions of audiences through a neural network it has developed which is helping the company quantify how a film is working on a granular scale. While studios have used test audiences to preview early cuts of films for years and would make changes based on that feedback, the difference with today's methods is the amount of data that can be analyzed. It is expected that these sentiment-analysis cameras would also make its ways into other experiences such as at the parks or restaurants. Disney's board of directors has some heavy tech players such as Sheryl Sandberg, COO of Facebook, Jack Dorsey, founder of Twitter, and John Chen, CEO of Blackberry, so there's no doubt the entertainment icon will continue to be a leader in using machine learning and big data to enhance the customer experience.

Disney is known for fiercely protecting the magic behind the curtain that makes the "Most Magical Place on Earth" hum. Even though we may not know all their secrets, we do know Disney masterminds are leveraging Big Data in innovative ways to improve the experience of those who walk through the gates of their parks. There are also some intriguing developments with using data that will excite Disney movie fans. Let's take a look at how big data is changing the entertainment behemoth of Disney. In 2013, after years of development and testing, Disney World launched its MyMagicPlus program.

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