Mad Hedge Technology Alerts!
Let me introduce to you one of the hottest trends in tech.
It has been on the tip of everyone's tongue for years, and that might be an understatement, but the interaction of the Internet of Things (IoT) and Artificial Intelligence (AI) offers companies a wide range of advantages.
In order to get the most out of IoT systems and to be able to interpret data, the symbiosis with AI is almost a must.
If the Internet of Things is merged with data analysis based on artificial intelligence, this is referred to as AIoT.
Moving forward, expect this to be the hot new phrase in an industry backdrop where investors love these hot catchphrases and monikers.
What is this used for?
Lower operating costs, shorter response times through automated processes, and helpful insights for business development are just a few of the notable advantages of the Internet of Things.
AI also offers a variety of business benefits: it reduces errors, automates tasks, and supports relevant business decisions. Machine learning as a sub-area of AI also ensures that models – such as neural networks – are adapted to data. Based on the models, predictions and decisions can be made. For example, if sensors deliver new data, they can be integrated into the existing modules.
The Statista Research Institute assumes that there will be 75 billion networked devices by 2025.
This is exactly where AI comes into play, which generates predictions based on the sensor values received.
However, many companies are still unable to properly benefit from the potential of connecting IoT and AI, or AIoT for short.
They are often skeptical about outsourcing their data - especially in terms of security and communication.
In part because the increased number of networked devices, which requires the connection of IoT and AI, increases the security requirements for infrastructure and communication structure enormously.
It is not surprising that companies are unsettled: Industrial infrastructures have grown historically due to constantly increasing requirements and present companies with completely new challenges, which manifest themselves, for example, in an increasing number of networked devices. With the combination of IoT and AI, many companies are venturing into relatively new territory.
By connecting IoT and AI, a continuous cycle of data collection and analysis is developing.
But companies can no longer deny the advantages of AIoT because this technical combination makes networked devices and objects even more useful.
Based on the insights generated by the models, those responsible can make decisions more easily and reliably predict future events. In this way, a continuous cycle of data collection and analysis develops. With predictive maintenance, for example, production companies can forecast device failures and thus prevent them.
The combination of the two technologies also makes sense from the safety point of view: continuous monitoring and pattern recognition help to identify failure probabilities and possible malfunctions at an early stage – potential gateways can thus be better identified and closed in good time.
The result: companies optimize their processes, avoid costly machine failures, and at the same time reduce maintenance costs and thus increase their operational efficiency.
In this way, IoT and AI represent a profitable fusion: While AI increases the benefit of existing IoT solutions, AI needs IoT data in order to be able to draw any conclusions at all.
AIoT is therefore a real gain for companies of all sizes. They thus optimize processes, are less prone to errors, improve their products and thus ensure their competitiveness in the long term.
Some hardware, software, and semiconductor stocks that will offer exposure into AIoT are Emerson Electric Co. (EMR), Garmin (GRMN), Ambarella (AMBA), Nvidia (NVDA), DexCom (DXCM), Cisco (CSCO), Intel (INTC), and Qualcomm (QCOM).
Mad Hedge Technology Letter
July 24, 2024
Fiat Lux
Featured Trade:
(THE FUTURE IS HERE)
(NO CODE)
The future is here.
No code or low code will bring a raft of new innovative tech companies to market, and we are in the early innings of this transformative development.
What is no code?
No-code is an approach to designing and using applications that requires zero coding or knowledge of programming languages.
This type of software hits us at a perfect time when the home office is beginning to become ubiquitous.
The self-service movement that empowers business users will support the creation, manipulation, and employment of data-driven applications.
If we turn back the pages of history, companies need an army of software programmers to develop even the measliest application.
That was then and this is now.
Fast forward to today and automated technology doesn’t only include cutting-edge industries like automotive cars, but also software on laptops that can be rejigged by individual entrepreneurs.
That’s right, one person with no coding experience will be able to design, develop, and offer a real-life application with meaningful business value without the help of expert programmers.
The research data backs up my thesis with research firms projecting a 23% increase in the global market for this type of technology.
During the pandemic, low-code/no-code tools saw steady growth due to their effectiveness in addressing some of tech’s most complicated challenges.
The essential need to digitize workflows and enhance customer and employee experiences will be a boost to the efficiency of commercial and operational teams.
No-code platforms have evolved from just facilitating mundane tasks to making it possible for a broader range of business employees to truly own their automation and build new software applications with no coding while increasing organizational capacity.
A few risks that larger companies might consider is that even for remote developers building new applications, governance is paramount.
IT staff will need to install guardrails and have those built into low-code/no-code platforms to maintain consistent levels of security across the organization.
Cybersecurity solutions need to be integrated into this workflow by training every employee at the organization on security behavior and using compartmentalization and limited access to prevent opportunities for mistakes.
Hard landings are hard to recover from and some can be crippling to the business model.
For no-code companies, harmonizing workflows is a key requirement for success.
In a low-code/no-code organization, departments should be able to work without silos and communicate freely across functions.
Elevated performance enabled by low-code/no-code tools will mean that the number of useful apps hurling toward the marketplace will be more and merrier than ever before.
Higher performance will no doubt usher in a new renaissance of efficiency and even better performance.
This also puts a 3 or even 4-day workweek squarely in play.
Many of the best tech minds in the world have supported the concept of working smarter instead of working harder.
A low code/no-code standard will allow for these achievements to take place.
The cratering of costs to start and run a tech firm is affected too.
Deploying startup capital to pay for other expenses will make it easier for successful incubation.
This will ultimately mean that this new type of tech company will need to embrace the fusion of IT and business staff, empowering them with composable applications to speed up the time to market for new solutions.
Low-code/no-code, APIs, and other tools are enabling companies to integrate new applications into their existing tech stack in a more seamless manner with a lift-and-shift approach vs. a rip-and-replace.
At the entrepreneur level, individuals will be able to harness the technology to build $100 million companies with a snap of the fingers when it wasn’t possible to do it before.
This is finally a chance for the little guy to recapture their moxie in the vast and sometimes overwhelming business world.
