How can embedded machine learning for IoT bring new advancements in the Industry?

The internet of things (IoT) is unprecedently changing the way people live and work. It is booming at a rapid pace and the domains where IoT is evolving are as diverse as its applications, ranging from decision control to the exploration and discovery of new information. It is predicted that there will be around 175 zettabytes of data generated worldwide by 2025. Companies who already invested in IoT will gain a massive competitive advantage and new opportunities through such amounts of data. Applying embedded machine learning for IoT devices can also deliver several new capabilities as it has the potential to lessen data transmission payload and integrate Low-Power Wide-Area Network (LPWAN) technologies, which offer wide range connectivity while providing a long battery life.

Now as businesses are approaching a new era of innovation, various new abilities of embedded machine learning on IoT devices will occur in 2021. Here are the top embedded ML for IoT predictions for 2021.

Smarter Chips Will Enable Intelligence on IoT Sensors

Building an IoT solution using legacy approaches faces numerous challenges and one of them is to connect millions of IoT devices to the cloud across distinct sensors, actuators, operating systems, compute power, and others. The amount of data currently being gathered by IoT is already huge, and it is expected that it will get far bigger and more interesting. The shipment of more powerful IoT AI chips and more domain-specific IoT AI chips will enable smarter intelligence on IoT sensors, according to Hiroshu Doyu, an embedded AI researcher at Ericsson.

Embedded ML to Revolutionize Manufacturing

According to IDC, 20% of leading manufacturers will rely on embedded intelligence by 2021, using AI, IoT, and blockchain applications to automate processes and intensify execution times by up to 25%. Embedded machine learning can identify certain areas that need to be efficiently tested and provide manufacturers with information to better predict the maintenance and equipment failure issues to prevent any uncertainty in the future. Embedded ML solutions can also automate manufacturing processes entirely along with smart manufacturing operations. They can unlock sensors’ data that is currently discarded due to cost, bandwidth, or power constraints.

Enterprise Maturation Through Smarter Chips 

Business decision-makers these days are entirely overwhelmed by the technology which has been already embedded. These embedded technologies are becoming a new trend across businesses owing to the availability and generation of massive digital data daily. However, the problem is connecting to it and absorbing it. The adoption of more intelligence at the device level may address the issues associated with bandwidth and latency. Lucy Lee, a senior associate at Volition Capital who tracks embedded AI/ML on IoT predicts that many more autonomous chips are expected to be made this year.

AI/ML Acceleration

The paradigm shift towards digitization is giving businesses a huge opportunity and enabling them to garner greater benefits and ROI. Advancements in artificial intelligence and the introduction of application-specific custom AI chips are now allowing businesses to glean real-time data about their business processes and their customers. As the AI chips market is gaining visibility across industries worldwide, it is expected to grow at a CAGR of over 42% during 2020-2024. The adoption of AI chips in data centers will expedite its growth.

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At its core nature, gambling is a numbers game. Bookmakers live or die by their odds. It is thus no big surprise that the rise of big data has had a massive impact on casinos. The modern tools that make it easy to harness and analyze massive amounts of data in real-time have transformed the gambling industry.

Despite this development, the industry is merely scratching the surface in big data analytics. With time, the algorithms become more focused to produce even more accurate odd predictions. This post will dive deep to uncover the massive changes brought on by this development. If you would like to learn more about the big data the gambling industry analyzes,

Better Security Against Cheaters
There was a time when one of the biggest problems casinos had to face were cheaters. Frauds did all they could to win unfairly against the house. Tracking and finding these cheaters, without implicating honest players, was a big challenge. Thanks to big data, casinos can now detect cheats more accurately and in a short time.

In combination with various attendant technologies, big data has transformed the casino industry. It has brought more transparency on the casino floor, and online casinos are now more credible. The big data analysis tools have proven invaluable in helping casinos save money. An excellent example of such a security system is NORA (Non-Obvious Relationship Awareness). This big data analyzer is an efficient anti-cheating security system used in various Las Vegas casinos.

Tailored Marketing Saves Casinos Money
Both land and online casinos have a treasure trove of customer data. Smart casinos have developed in-house software they use to sort and analyze this information. One of the most efficient ways they use it is to optimize their platforms. By analyzing customer activity on the casino, they can make critical marketing decisions that save the casino money. These decisions include the kind of promotional content to use and which demographic their ads should target.

Big data also allows progressive online casinos to tailor their marketing content to each visitor. By understanding the nature of different visitor profiles, casinos get to promote the content the target best responds to. It has also been instrumental in helping developers tweak their games and admins to improve their casinos’ experience designs. With big data, they can now understand how everyone navigates a casino site and how to make it more user-friendly.

Gambling Analytics Help Develop Better Game Strategies
When casinos went digital, even its games underwent a complete metamorphosis. Casino games are no longer mere card games. The tournaments are no longer just a meeting of a handful of players in a VIP room. Online casinos have become a meeting place for millions of fanatics all over the world. Big data analysis informs the organizers what to expect and even how to structure real-time events.

For the player, big data presents an opportunity to thrash the competition and win big. For instance, there are free online tools that track every major poker tournament in the world. A player can track every player statistic, study opponents’ strategies, and even develop their own. Read about Daniel “Kid Poker” Negreanu who developed an AI system that uses big data to develop winning strategies. To some professionals, gambling analytics has been the golden nectar pot they needed to build a career.

Important Takeaways
Most casino games are essentially numbers. Whoever has the most information on these numbers more often than not ends up winning. The casino industry is leveraging this technology to get ahead and to serve its customers better. Considering how dynamic the gambling industry is, this technology couldn’t have come at a better time. In the future, sophisticated data analytics will help the industry players revolutionize how we play and win casino games.

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