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TECHNOLOGY

9 IoT Trends To Follow in 2023

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9 IoT Trends To Follow in 2023

Billions of devices are connected to the internet.

IOT_TRENDS_2023.jpeg

The year 2023 will hit all 4 components of IoT Model:

With different degrees of impact.

IoT Trend 1: Growth in Data and Devices with More Human-Device Interaction

By the end of 2019 there were around 3.6 billion devices that are actively connected to the Internet and used for daily tasks. With the introduction of 5G that will open the door for more devices, and data traffic.

You can add to this trend the increased adoption of edge computing which will make it easier for businesses to process data faster and close to the points of action.

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IoT Trend 2: AI Will be a Big Player in IoT 

Making the most of data, and even understanding on a basic level how modern infrastructure functions, requires computer assistance through artificial intelligence.

The major cloud vendors, including Amazon, Microsoft, and Google, are increasingly looking to compete based on their AI capabilities.

Various startups hope to increase their market share through AI algorithms able to leverage machine learning and deep learning, allowing businesses to extract more value out of their ever-growing volumes of data.

Artificial intelligence is the fundamental ingredient needed to make sense of the vast amount of data collected these days, and increase its value for business. AI will help IoT data analysis in the following areas:

•       data preparation,

•       data discovery,

•       visualization of streaming data,

•       time series accuracy of data,

•       predictive and advanced analytics,

•       real-time geospatial and location (logistical data)

IoT Trend 3: (VUI) Voice User Interface will be a Reality

It’s a battle among industry leaders who would like to dominate the market of IoT at an early stage.

Digital assistant devices, including Alexa, Siri and Google Assistant, are the future hubs for the next phase of smart devices, and companies are trying to establish “their hubs” with consumers, to make it easier for them to keep adding devices with less struggle and no frustrations

Voice represents 80% of our daily communications, taking a chapter from Sci Fi movies, talking to robots is the common way of communication, R2D2, C-3PO, and Jarvis to name a few.

The use of voice in setting up the devices, change that set up, giving commands and receiving results will be the norm not only in smart houses, factories but in between like cars, wearables for example.

IoT Trend 4: More Investments in IoT

IoT’s indisputable impact has and will continue to lure more startup venture capitalists towards highly innovative projects in hardware, software and services.

Spending on IoT will hit 1.4 trillion dollars by 2023.

IoT is one of the few markets that have the interest of the emerging as well as the traditional venture capitalists.

The spread of smart devices and the increased dependency of customers to do many of their daily tasks using them, will add to the excitement of investing in IoT startups.

Customers will be waiting for the next big innovation in IoT—such as

  • Smart mirrors that will analysis your face and call your doctor if you look sick,

  • Smart ATM machine that will incorporate smart security cameras,

  • Smart forks that will tell you how to eat and what to eat,

  • Smart beds that will turn off the lights when everyone is sleeping

IoT Trend 5: Finally, a Real Expansion of Smart IoT

IoT is all about connectivity and processing, nothing will be a better example than smart cities, but smart cities have been in a bit of a holding pattern recently.

Smart sensors around the neighborhood will record everything from walking routes, shared car use, building occupancy, sewage flow, and temperature choice 24/7 with the goal of creating a place that’s comfortable, convenient, safe, and clean for those who live there.

Once the model is perfected, it could be the model for other smart neighborhoods and eventually smart cities. The potential benefits for cities, however, make IoT technology especially compelling.

Cities of all sizes are exploring how IoT can lead to better efficiency and safety, and this infrastructure is increasingly being rolled around the world.

Another area of spreading smart IoT is the auto industry with self-driving cars becoming a normal occurrence in the next few years, today tons of vehicles have a connected app that shows up to date diagnostic information about the car.

This is done with IoT technology, which is the heart of the connected vehicle.  Diagnostic information is not the only IoT advancement that we will see in the next year or so. Connected apps, voice search, and current traffic information are a few other things that will change the way we drive.

IoT Trend 6: The Rise of Industrial IoT & Digital Twin Technology

An amalgamation of technologies is pushing this new techno-industrial revolution, and IoT plays a big part in making manufacturing more efficient, less risky, and more profitable.

Industrial IoT brings enhanced efficiency and productivity through data integration and analysis in a way that isn’t possible without an interconnected manufacturing process

Another notion that is gaining popularity is “digital twin” technology. Through its use, organizations can create a clear picture of how their IoT devices are interacting with the manufacturing process.

This gives keen businesses insight into how the life cycle of their machines operates, and allows them to predict changes that may be needed ahead of time.

According to a Gartner survey, 48% of smart manufacturing adopters have made plans to make use of the digital twin concept

IoT Trend 7: More Movement to the Edge

Edge computing is a technology that distributes the load of processing and moves it closer to the edge of the network (sensors in case of IoT).

The benefits of using fog computing are very attractive to IoT solution providers.

Some of these benefits allow

  • Users minimize latency,

  • Conserve network bandwidth,

  • Operate reliably with quick decisions,

  • Collect secure a wide range of data

Move data to the best place for processing with better analysis and insights of local data.

Edge computing has been on the rise in recent years, but the growing scope of IoT technology will make this move even more pronounced. Two factors are leading this change:

·       Powerful edge devices in various form factors are becoming more affordable 

·       Centralized infrastructure is becoming more stressed.

Edge computing also makes on-device AI a realistic proposition, as it allows companies to leverage real time data sets instead of having to sift through terabytes of data in a centralized cloud in real time. Over the coming years and even decades, it’s likely that tech will shift to a balance between the cloud and more distributed, edge-powered devices.

Hardware manufacturers are building specific infrastructure for the edge deigned to be more physically rugged and secure, and security vendors will start to offer endpoint security solutions to their existing services to prevent data loss, give insights into network health and threat protection, include privileged user control and application whitelisting and control, that will help in the fast adoption and spread of edge computing implementations by businesses

IoT Trend 8: More Social, Legal, and Ethical Issues

IoT devices are a largely unregulated new technology. IoT will inevitably find itself facing social and legal questions in the near future. This is particularly relevant for data collected by these devices, which may soon find itself falling under the umbrella of the General Data Protection Regulation (GDPR). This regulation regarding the handling of personal data and privacy in the European Union, the GDPR extends its reach beyond the European region. Any business that wants to successfully operate within the EU will need to comply with the guidelines laid out in its 88-page document

Security issues are essential when it comes to legal regulation of personal data. Development teams can ensure the required level of security and compliance on various levels, including data encryption, active consent, various means of verification and other mechanisms. Their goal is to collect data legitimately and keep its accessibility, processing, and storage to a minimum that is dictated by the software product

IoT Trend 9: Standardization Will Still be a Problem

Standardization is one of the biggest challenges facing growth of IoT—it’s a battle among industry leaders who would like to dominate the market of IoT at an early stage. But what we have now is a case of fragmentation. One possible solution is to have a limited number of vendors dominating the market, allowing customers to select one and stick to it for any additional connected devices, similar to the case of operating systems we have now have with Windows, Mac and Linux for example, where there are no cross-platform standards.

To understand the difficulty of standardization, we need to deal with all three categories in the standardization process:

In the case of platform, we deal with UX/UI and analytic tools, while connectivity deals with customer’s contact points with devices, and last, applications are the home of the applications which control, collect and analyze data.

All three categories are inter-related and we need them all, missing one will break that model and stall the standardization process. There is no way to solve the problem of fragmentation without a strong push by organizations like IEEE or government regulations to have common standards for IoT devices


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TECHNOLOGY

Next-gen chips, Amazon Q, and speedy S3

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AWS re:Invent, which has been taking place from November 27 and runs to December 1, has had its usual plethora of announcements: a total of 21 at time of print.

Perhaps not surprisingly, given the huge potential impact of generative AI – ChatGPT officially turns one year old today – a lot of focus has been on the AI side for AWS’ announcements, including a major partnership inked with NVIDIA across infrastructure, software, and services.

Yet there has been plenty more announced at the Las Vegas jamboree besides. Here, CloudTech rounds up the best of the rest:

Next-generation chips

This was the other major AI-focused announcement at re:Invent: the launch of two new chips, AWS Graviton4 and AWS Trainium2, for training and running AI and machine learning (ML) models, among other customer workloads. Graviton4 shapes up against its predecessor with 30% better compute performance, 50% more cores and 75% more memory bandwidth, while Trainium2 delivers up to four times faster training than before and will be able to be deployed in EC2 UltraClusters of up to 100,000 chips.

The EC2 UltraClusters are designed to ‘deliver the highest performance, most energy efficient AI model training infrastructure in the cloud’, as AWS puts it. With it, customers will be able to train large language models in ‘a fraction of the time’, as well as double energy efficiency.

As ever, AWS offers customers who are already utilising these tools. Databricks, Epic and SAP are among the companies cited as using the new AWS-designed chips.

Zero-ETL integrations

AWS announced new Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon Relational Database Services (Amazon RDS) for MySQL integrations with Amazon Redshift, AWS’ cloud data warehouse. The zero-ETL integrations – eliminating the need to build ETL (extract, transform, load) data pipelines – make it easier to connect and analyse transactional data across various relational and non-relational databases in Amazon Redshift.

A simple example of how zero-ETL functions can be seen is in a hypothetical company which stores transactional data – time of transaction, items bought, where the transaction occurred – in a relational database, but use another analytics tool to analyse data in a non-relational database. To connect it all up, companies would previously have to construct ETL data pipelines which are a time and money sink.

The latest integrations “build on AWS’s zero-ETL foundation… so customers can quickly and easily connect all of their data, no matter where it lives,” the company said.

Amazon S3 Express One Zone

AWS announced the general availability of Amazon S3 Express One Zone, a new storage class purpose-built for customers’ most frequently-accessed data. Data access speed is up to 10 times faster and request costs up to 50% lower than standard S3. Companies can also opt to collocate their Amazon S3 Express One Zone data in the same availability zone as their compute resources.  

Companies and partners who are using Amazon S3 Express One Zone include ChaosSearch, Cloudera, and Pinterest.

Amazon Q

A new product, and an interesting pivot, again with generative AI at its core. Amazon Q was announced as a ‘new type of generative AI-powered assistant’ which can be tailored to a customer’s business. “Customers can get fast, relevant answers to pressing questions, generate content, and take actions – all informed by a customer’s information repositories, code, and enterprise systems,” AWS added. The service also can assist companies building on AWS, as well as companies using AWS applications for business intelligence, contact centres, and supply chain management.

Customers cited as early adopters include Accenture, BMW and Wunderkind.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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TECHNOLOGY

HCLTech and Cisco create collaborative hybrid workplaces

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Digital comms specialist Cisco and global tech firm HCLTech have teamed up to launch Meeting-Rooms-as-a-Service (MRaaS).

Available on a subscription model, this solution modernises legacy meeting rooms and enables users to join meetings from any meeting solution provider using Webex devices.

The MRaaS solution helps enterprises simplify the design, implementation and maintenance of integrated meeting rooms, enabling seamless collaboration for their globally distributed hybrid workforces.

Rakshit Ghura, senior VP and Global head of digital workplace services, HCLTech, said: “MRaaS combines our consulting and managed services expertise with Cisco’s proficiency in Webex devices to change the way employees conceptualise, organise and interact in a collaborative environment for a modern hybrid work model.

“The common vision of our partnership is to elevate the collaboration experience at work and drive productivity through modern meeting rooms.”

Alexandra Zagury, VP of partner managed and as-a-Service Sales at Cisco, said: “Our partnership with HCLTech helps our clients transform their offices through cost-effective managed services that support the ongoing evolution of workspaces.

“As we reimagine the modern office, we are making it easier to support collaboration and productivity among workers, whether they are in the office or elsewhere.”

Cisco’s Webex collaboration devices harness the power of artificial intelligence to offer intuitive, seamless collaboration experiences, enabling meeting rooms with smart features such as meeting zones, intelligent people framing, optimised attendee audio and background noise removal, among others.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: Cisco, collaboration, HCLTech, Hybrid, meetings

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Canonical releases low-touch private cloud MicroCloud

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Canonical has announced the general availability of MicroCloud, a low-touch, open source cloud solution. MicroCloud is part of Canonical’s growing cloud infrastructure portfolio.

It is purpose-built for scalable clusters and edge deployments for all types of enterprises. It is designed with simplicity, security and automation in mind, minimising the time and effort to both deploy and maintain it. Conveniently, enterprise support for MicroCloud is offered as part of Canonical’s Ubuntu Pro subscription, with several support tiers available, and priced per node.

MicroClouds are optimised for repeatable and reliable remote deployments. A single command initiates the orchestration and clustering of various components with minimal involvement by the user, resulting in a fully functional cloud within minutes. This simplified deployment process significantly reduces the barrier to entry, putting a production-grade cloud at everyone’s fingertips.

Juan Manuel Ventura, head of architectures & technologies at Spindox, said: “Cloud computing is not only about technology, it’s the beating heart of any modern industrial transformation, driving agility and innovation. Our mission is to provide our customers with the most effective ways to innovate and bring value; having a complexity-free cloud infrastructure is one important piece of that puzzle. With MicroCloud, the focus shifts away from struggling with cloud operations to solving real business challenges” says

In addition to seamless deployment, MicroCloud prioritises security and ease of maintenance. All MicroCloud components are built with strict confinement for increased security, with over-the-air transactional updates that preserve data and roll back on errors automatically. Upgrades to newer versions are handled automatically and without downtime, with the mechanisms to hold or schedule them as needed.

With this approach, MicroCloud caters to both on-premise clouds but also edge deployments at remote locations, allowing organisations to use the same infrastructure primitives and services wherever they are needed. It is suitable for business-in-branch office locations or industrial use inside a factory, as well as distributed locations where the focus is on replicability and unattended operations.

Cedric Gegout, VP of product at Canonical, said: “As data becomes more distributed, the infrastructure has to follow. Cloud computing is now distributed, spanning across data centres, far and near edge computing appliances. MicroCloud is our answer to that.

“By packaging known infrastructure primitives in a portable and unattended way, we are delivering a simpler, more prescriptive cloud experience that makes zero-ops a reality for many Industries.“

MicroCloud’s lightweight architecture makes it usable on both commodity and high-end hardware, with several ways to further reduce its footprint depending on your workload needs. In addition to the standard Ubuntu Server or Desktop, MicroClouds can be run on Ubuntu Core – a lightweight OS optimised for the edge. With Ubuntu Core, MicroClouds are a perfect solution for far-edge locations with limited computing capabilities. Users can choose to run their workloads using Kubernetes or via system containers. System containers based on LXD behave similarly to traditional VMs but consume fewer resources while providing bare-metal performance.

Coupled with Canonical’s Ubuntu Pro + Support subscription, MicroCloud users can benefit from an enterprise-grade open source cloud solution that is fully supported and with better economics. An Ubuntu Pro subscription offers security maintenance for the broadest collection of open-source software available from a single vendor today. It covers over 30k packages with a consistent security maintenance commitment, and additional features such as kernel livepatch, systems management at scale, certified compliance and hardening profiles enabling easy adoption for enterprises. With per-node pricing and no hidden fees, customers can rest assured that their environment is secure and supported without the expensive price tag typically associated with cloud solutions.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: automation, Canonical, MicroCloud, private cloud

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