Adopt an AI/ML-First Mindset
The haphazard adoption and integration of random AI-powered tools are often all flash and no substance. High investments in AI technology without careful strategy or planning can be detrimental to an organization. Therefore, it’s of utmost importance that tech leaders adopt an AI/ML-first mindset before adopting the tools themselves.
AI tools evolve at unbelievable speeds. The most exciting technologies could easily become redundant in weeks. Tech leaders need to view AI as an approach rather than getting too attached to specific tools and technologies. The AI/ML-first approach will broaden the possibilities of innovation and empower companies and their leaders with the confidence to make bold business and tech decisions.
Investigate Potential Use Cases for Embedded Intelligence
Embedded intelligence is an incredible technology for organizations to leverage but it doesn’t necessarily come cheap or easy. Tech leaders shouldn’t get overwhelmed by the endless possibilities of embedded intelligence. Instead, they should meticulously investigate potential use cases within their organization and choose the right ones.
For example, embedded intelligence could be ideal for customer service, workflow automation, and data analytics. However, an organization, for various reasons, might only be able to apply embedded intelligence in one of these. Tech leaders need to measure the cost and benefits of using embedded intelligence in any of their organization’s verticals. Like any technology, embedded intelligence is only as good as its application.
Leverage Existing Data Sources
The availability of data isn’t often the primary challenge for tech leaders. More often than not, the challenge lies in how to leverage that data for business gains. An important step in adopting embedded intelligence is to leverage existing data to its fullest potential before searching for new data sources. New data sources could be massively influential but are perhaps saved for a later stage when organizations are better acquainted with embedded intelligence.
Due to suboptimal strategies and technologies, tech leaders aren’t always cognizant of the quality and potential of the data that they possess. The adoption and implementation of embedded intelligence allow tech leaders to assess their organization’s existing data and utilize that data to its absolute maximum potential. Most companies already have sufficient amounts of high-quality data to make significant gains.
Invest in AI & ML Projects and Resources
Tech leaders should dedicate a significant portion of their IT budgets to AI and ML projects and resources. The upfront costs of AI technology can often seem daunting. However, it’s important to remember the long-term benefits and transformative potential of these technologies. AI and ML adoption is rarely an overnight success story. Businesses should take small and measured steps toward AI and ML adoption.
Due to the global frenzy around AI, tech leaders may feel the pressure to make such technologies the main characters of their organization’s story. It would be far more pragmatic to view AI as a strong supporting character that, over time, can be nourished and guided to be a foundational pillar of the organization. The first step towards that is making smart and responsible investments in AI and ML projects, tools, and other resources.
Utilize Ethical Embedded Intelligence Practices
Ultramodern technology is always a double-edged sword. In the hands of responsible leaders, embedded intelligence can cause positive and holistic change, not just for organizations but also for their clients, society, and culture. On the other hand, irresponsible use of these technologies can be detrimental to certain sections of society, typically those who have already experienced some form of subjugation.
Ethics will always be discussed in relation to AI, and justifiably so. The ethics of AI has been a subject of discussion since before the technology existed. By employing ethical practices, tech leaders can show the world that AI can serve everyone equally and fairly, rather than providing benefits for a select few and neglecting others parts of society, culture, and the environment.
Consider Tech Partnerships With Embedded Development Specialists
The adoption and implementation of embedded intelligence can unlock numerous benefits. But the key to accessing those benefits is flawless execution and compliance with overarching business objectives. As we’ve stated with numerous other technologies, a one-size-fits-all approach is rarely the right solution for most businesses. Organizations require intricate and personalized designs. That’s why tech partnerships with experts like rinf.tech are so important.
At Rinf.tech, we provide quality that rivals and exceeds tech offerings from multinational giants with the bonus of intricate personalization and a keen eye for detail. rinf.tech has designed custom embedded intelligence solutions for a diverse range of clients. Here are a couple of case studies that highlight rinf.tech’s expertise in embedded intelligence and a knack for understanding unique customer requirements.
Our team worked with a client in the European retail business whose primary concern was a “high inefficiency in defining customer clusters by gender and age, resulting in slow follow-ups across departments and locations due to variability in operations.”
We provided a CCTV analytics solution for this client in the form of stream cameras and video analytics servers. Capabilities included facial recognition, queue detector, people counter, activity visualizer, and analytics. Key results for the client included
- a 90% increase in customer insights,
- a 50% increase in immediate response rate, and
- a 60% increase in the accuracy of customer patterns.
In another instance, Rinf.tech worked with a British Telecom startup whose offering included “a real-time parcel tracking device and service that allows users to track the location, security, and condition of their shipments regardless of the scale, country, or carrier.” Their biggest challenge was to enhance their business model with a world-class software platform.
Our team developed an IoT device management platform that uses various IoT sensors and a global MNO/MVNO network to enable carriers to collect information about asset location, real-time transportation conditions, and handling. With this embedded intelligence innovation, rinf.tech empowered their client to move into a production phase and launch an ad campaign.