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Humanoid robot in city

From amusing images to sophisticated data analysis, artificial intelligence (AI) is revolutionizing our work processes. While some companies restrict employees' use of technologies like ChatGPT, others have fully embraced the AI evolution. Is AI the new Y2K? How can you harness this technology in the workplace to enhance your employees' productivity, making their tasks more manageable and teams more effective? As leaders in the field of AI for drones, we wanted to take a moment to touch on the topic of AI trends, how to cut through the noise, and identify effective uses of AI in your daily tasks at work.

Section 1: Navigating AI Trends

Real-Time Data Insights for Efficient Decision-Making

In the business world, making well-informed decisions has always been crucial. However, the pressure to make quick decisions can sometimes lead to mistakes. Enhancing the speed of data analysis allows organizations to make data-driven decisions even at a granular level. Marketers have long understood the power of real-time data; metrics in Google Analytics have powered both flash sales and short-term strategies. But real-time data ready for use is a newer breakthrough for other departments.

With the aid of AI in data processing, real-time data has become a tangible asset for various teams, spanning from procurement to security. A number of our clients have noted improvements in detailed decision-making, like tracking biomass volume for enhanced purchasing planning. This has allowed the purchasing team to reduce their dependence on fluctuating volume estimates and predictive metrics. Additionally, some clients have highlighted the use of predictive herd movement calculations, which have empowered park ranger teams to proactively implement preventative measures, preventing potential encounters with wild animals.

While our software provides this granular level of data, empowering teams to make real-time data-driven decisions, there are various ways you can enhance your team at work with other AI tools. The key is finding tools you believe are safe for your organization’s cyber security, align with your ethics, and enhance efficiency and not become an added problem.

Customizable AI Solutions for Your Industry’s Specific Challenges

Before implementing new AI-powered software within your team, it is crucial to pause and recognize the obstacles your team is encountering. Just like Richard Rumelt discusses in his book "Good Strategy - Bad Strategy," before devising a strategy to enhance your team, invest time in thoroughly examining your organization and team. Start by identifying challenges and diagnosing the issues at hand.

Aerial image of biomass stockpile during mission

Consider a scenario where a sizable heat and power plant transitions to biomass. Due to its unstable nature, biomass introduces extra risks, necessitating increased maintenance and monitoring to safeguard the investment. These fresh hurdles compound an existing concern purchasers are familiar with - ensuring a consistent material supply without facing shortages or relying on external storage facilities.

This challenge could benefit from off-the-shelf AI-powered software that aids in data analysis, yet the challenge of real-time accurate updates persists. Organizations must decide the significance of enhancing their data quality for their financial success.

Aerial image of jungle with AI detected elephants

The same can be said for organizations working with wildlife. When it comes to researching animal migrations, herd numbers, and animal interaction with humans, AI can provide value on several different levels. From analyzing animal sounds to AI-powered traps. Again, several off-the-shelf solutions can be applied to make teams more robust, but bespoke solutions can also launch teams over hurdles, making some challenges a thing of the past.

In our work in Thailand, prior to partnering with the WWF, park rangers manually flew drones in the park to monitor elephants and activated sensors to alert them if elephants approached the park boundaries. However, these drone flights were ineffective and often produced minimal results. The last-minute attempts to deter elephants posed a significant risk to park rangers, leading to tragic incidents and fatalities. Although utilizing AI-triggered sensors and processing drone images with AI-powered software could have assisted the organization, they would still encounter similar challenges, albeit with fewer internal complications.

With Robotto’s core technology of AI-Detection and Vision Based Navigation, we worked together with park rangers to understand these internal complications and navigate how we could apply our tech to circumvent them entirely in the future. Here NatureTrackAI was born, giving park rangers the ability to detect elephants and track their movements in real-time, without having to manually pilot the drone and visually identify elephants from 80 meters up in the sky.

Section 2: Tips for Keeping Up with AI Trends
Continuous Learning

Introducing AI solutions to your company requires a particular mindset for success. This mindset mirrors that of startups and innovative organizations, which could be challenging for older, more traditional companies to embrace. Along with this shift in organizational culture, exploring and discovering new AI applications, testing them, and integrating them into the company all come with their own set of challenges.

AI has become a buzzword of late and many companies are marketing their solutions as powered by AI. To determine what suits your organization best, the initial step is to familiarize yourself with AI and become an expert in the field. So, what is AI?

AI generated image of people in a gym

At its core, AI is essentially basic statistical analysis. One of our AI experts at Robotto explained it as follows: imagine placing 100 people in a gym and showing them a picture of a bus. Then, you ask each person if the image is of a bus. After polling everyone in the gym, you can analyze the data statistically to determine whether the picture depicted a bus.

But AI can accomplish much more than simply determining what an image depicts. It can assist software in helping you by taking small inconsequential decisions out of your hands, helping you skip steps, and streamlining your processes.

Keeping an eye on trends

To transform your team into pioneers in adopting new technologies, it's crucial to stay updated on the latest tech trends. At Robotto, we dedicate 10 minutes each morning to reading an article from reputable publications. Although the benefits may not be immediate, cultivating a habit of daily learning provides employees with a solid grasp of industry advancements.

In addition to following these publications you can also adjust your social media feeds by following industry thought leaders and increase your network within the AI community.

Similar to other aspects of your business, networking within the realm of AI offers distinctive opportunities. Drawing insights from peers in your field consistently yields positive results, which is why conferences, professional networks, and expos play a significant role in corporate environments.

When focusing on networking for AI insights, consider incorporating the subject into your current network to gain industry-specific knowledge. Alternatively, explore AI-specific networks through lectures or academic institutions to discover the latest advancements in AI applications.

Unlike other new software your organization might onboard, AI comes with its own set of ethical concerns that stakeholders may have issues with. It’s important that your organization has a set of ethical guidelines and that you conduct research to ensure that your application follows these internal guidelines alongside GDPR rules.

Dipping your toe in the deep end

It can be daunting to simply go out and buy a new AI solution for your organization. One, if it’s truly cutting-edge, testimonials from other users might be nonexistent, and second, it might fail once in a while. That’s unfortunately just the way the cookie crumbles when it comes to being a first-mover in the space. Either you accept these caveats, choose to wait for the technology to be tried and tested give up hope of being a first-mover, or take the scenic route.

Much like a Sunday drive down the beach road, pilot projects can be a slow and sometimes boring process, but they give your organization the ability to not only tailor technology to your organization but also be a part of the testing process giving you the confidence you need to integrate the technology into your organization for regular use.

In the AI sector, numerous organizations are not only willing but also skilled at collaborating on pilot projects, making them highly cooperative partners. At Robotto, we have actively engaged in various pilot initiatives, including recent collaborations with WWF in Thailand and the ESA alongside a major heat and power plant in Copenhagen. Throughout these partnerships, we closely collaborated with end users, innovation officers, and other stakeholders to develop customized prototypes that met their specific organizational requirements.

While incorporating AI into the workplace presents a set of new challenges, the possibilities far outweigh these concerns, enabling organizations to boost productivity and efficiency. While exploring AI trends, it's clear that real-time data analysis and personalized AI solutions designed for industry-specific issues hold great promise in facilitating informed decision-making and surmounting challenges.

Staying in the loop with AI trends is like feeding rocket fuel to your organization's innovation engine. By encouraging a culture of exploration and innovation, companies can enable their teams to adopt new AI applications and adjust to changing industry environments.

Furthermore, weaving connections within the ethereal realms of the AI community and embarking on maiden voyages through pilot endeavors allow entities to harmonize with sages, unveil arcane technologies, and navigate the labyrinth of ethics. Though the path to entwining AI into the fabric of existence may be fraught with shadows and trials, embracing proactive participation in pilot quests unveils a celestial path to bespoke AI enchantments, guiding towards flourishing and triumph in this age of AI enchantment.


Hey there, quick question: How's your attention span doing these days? When you're diving into the world of TikTok, Instagram Reels, or YouTube Shorts, do you find yourself glued to the screen or is your finger doing the tango, itching to swipe to the next big thing? Well, you're not alone! Our collective craving for the new and exciting isn't just about videos. It's a global party that's shaking up everything from the latest fashion trends to cutting-edge technology. Companies are sprinting to quench this thirst, and the faster they move, the bigger their smiles (and their customer base) grow! Let's dive into this whirlwind of innovation, exploring how technology zooms into our lives at lightning speed and how our changing attitudes toward new tech might just turbo-boost this trend even more.


The Fast Track to Success - Zipping Through Product Development and Deployment

Remember that day you first heard about ChatGPT? Maybe it was the news anchor raving about this super-smart chatbot, or hearing about it acing tough exams like the Bar or the LSAT. OpenAI set the stage with ChatGPT, and suddenly, big tech players were scratching their heads: rush to market or wait until everything's just perfect? Take Google, for instance. They had their own chatbot, Bard, waiting in the wings, but weren't quite ready to let it loose. Now, they're playing catch-up, trying to woo users from ChatGPT with some cool integrations. But is it working?


It's a tricky balance. Launch too early, and you might trip up, facing the music like Theranos and Elizabeth Holmes did. But get it right, and you're on the path to stardom! The key? Make sure your tech doesn't just promise the moon – it should actually get you there, even if it's not flawless at first. Regular updates and improvements can turn a quick curiosity into lasting loyalty.


At Robotto, we've got our own groove going. By developing and testing our software with our field buddies, we make sure it not only talks the talk but walks the walk, gathering valuable insights along the way.


The Consumer's Dance with New, Edgy Tech

These days, the tech world is moving faster than a hip-hop beat, and consumers are loving it! Take the rush for 5G smartphones, for example. Even with 5G networks still growing, people just couldn't wait to get their hands on the latest and greatest.

Consumers are increasingly excited to jump in and learn as they go, especially with cool gadgets like smart home devices. They might not know all the bells and whistles at first, but they're keen to discover and play with new features in their daily lives. This adventurous spirit isn't just for the tech-savvy folks; even big organizations like the U.S. Department of Defense are getting in on the action, embracing the 'learn by doing' philosophy, especially with AI.


But hey, with great tech comes great responsibility, right? As we strap on our wearables and share our data, we're also navigating the choppy waters of data privacy. The introduction of laws like the GDPR in the European Union is like a safety net, ensuring that as we leap into the future of tech, we're doing it with our eyes open and our data safe.


In this fast-moving tech tango, consumers are as much the lead dancers as the innovators themselves. Their appetite for the latest gadgets not only sets the rhythm for market trends but also nudges companies to innovate thoughtfully and responsibly. As we step into a future where technology keeps spinning faster and faster, understanding and embracing the dance of consumer behavior is key to a world of sustainable and exciting innovation. Let's keep the beat going!

The computing landscape is evolving rapidly. Once confined to centralized data centers, computing now extends to the outer edges of networks, empowering devices to process and analyze data closer to its origin. This paradigm shift is what we call "edge computing", and it's set to redefine how data is handled, processed, and delivered.

What is Edge Computing?

In its simplest form, edge computing involves processing data closer to the location where it's generated, rather than relying on a central cloud-based system. This "location" can be anything from a smartphone, IoT devices, an industrial machine, or even a car.

Why the Shift to Edge Computing?
  • Latency Concerns: For applications where milliseconds matter, such as autonomous driving, drone navigation, or augmented reality, sending data to a distant data center for processing is not feasible. Edge computing minimizes latency by bringing computation closer to the source.

  • Bandwidth Efficiency: With billions of devices coming online, transmitting every bit of raw data back to centralized systems isn’t efficient. By processing data on the edge, only relevant insights or compacted data are sent back, reducing the burden on network resources.

  • Operational Reliability: Edge devices can operate independently even when cloud connectivity is lost, ensuring critical operations in sectors like healthcare or manufacturing aren’t disrupted.

  • Security and Privacy: Edge computing can help in processing sensitive data locally without sending it to the cloud, addressing concerns related to data sovereignty and privacy regulations.

Innovations Driving Edge Computing
  • Advanced Chipsets: Powerful, energy-efficient chipsets allow even compact devices to perform robust computation.

  • 5G Technology: The rapid speed and reduced latency of 5G enhance edge capabilities, ensuring smooth communication between devices.

  • AI and Machine Learning: AI models can be deployed on edge devices, enabling real-time data analytics and decision-making.

Challenges Ahead

While edge computing is promising, it also presents challenges:

  • Standardization: With an array of devices and platforms, developing universal standards is imperative for seamless interoperability.

  • Management and Maintenance: Deploying, updating, and maintaining software on millions of edge devices can be daunting.

  • Security Risks: The decentralized nature of edge computing may expose multiple attack vectors, necessitating robust security protocols.

The Future of Edge Computing

Looking forward, we can expect edge computing to complement, rather than replace, cloud computing. The synergy between them will pave the way for a more responsive, adaptive, and efficient computing infrastructure.

  • Smarter Cities: With edge computing, smart city infrastructure can process data locally, leading to efficient traffic management, waste disposal, and energy consumption.

  • Enhanced Healthcare: Wearables can process health metrics in real time, alerting users and medical professionals to anomalies immediately.

  • Revolutionized Retail: Stores can use edge computing to analyze shopping behaviors in real-time, offering personalized promotions or managing inventory more effectively.

Nvidia Orin: Powerhouse for Drones

The Nvidia Orin is a game-changer when it comes to edge computing for drones. Here are its key specifications:

  • Architecture: Ampere

  • Process: 7 nm

  • Cores: 17 billion transistors, with ARM CPU cores

  • Performance: Over 200 TOPS (Tera Operations Per Second)

  • Connectivity: Multiple high-speed interfaces and advanced I/O capabilities

Though Nvidia Orin offers immense computational power, there's still a finite limit to it. As such, developers and manufacturers have to make crucial decisions about where to allocate this computing power, especially when weighing between mapping and AI.

At Robotto the Nvidia Orin is a key component in the Robotto Brain. While some manufacturers have prioritized flight assistance and object avoidance. At Robotto we’ve created methods of including robust flight planning and object avoidance through our autonomous flight system. This then allows us to dedicate computational power to AI models, bringing direct value to our customers by alleviating headaches and strengthening your bottom line.

As we move into a more interconnected era, the demand for immediate data processing and real-time insights will only grow. Edge computing emerges as a solution that addresses the inherent challenges of latency, bandwidth, and operational reliability. It promises a future where devices collect data and make intelligent decisions. In the confluence of AI, 5G, and IoT, edge computing stands as a cornerstone, promising to reshape industries and improve user experiences across the board.

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