dan fiehn
dan fiehn

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This week, AI software: Unlocking the value of data to generate stunning new insights.


Welcome to The Digital Eye, your weekly roundup of the latest technology news. 

Our team of experts has scoured the internet for the most exciting and informative articles so that you can stay up-to-date on Digital, Data, Blockchain, AI & Analytics, and Digital Transformation.

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What is a Quantum Computer?

Quantum computer is an emerging technology that will have a major impact

Quantum computing and AI can be combined to have an even greater impact. The goal of this blog post is to introduce basic concepts of quantum computers and try to demystify them. Quantum computers use properties of matter observed at the micro (sub-atomic) level to perform computations and solve problems.

In contrast, current computers (since the 1950s) use properties of matter at the macro (semi-conductor element) level. Progress in quantum computers will have significant implications in the near future. It could render current encryption standard of the Internet useless, reduce drug development time, transform AI and much more. Quantum computers have already demonstrated (e.g., Shor’s algorithm) exponential speedup compared to their non-quantum (aka classical computer) counterparts. This post covers the following at a high level.

  1. Physics behind quantum computing
  2. How/why it will outpace silicon based computing
  3. What problems will it solve better


Cultural Intelligence (CQ) Is An Important Predictor Of Success. Here’s How To Boost Your CQ

What is cultural intelligence, and why does it matter?

I work with brands from all around the world, and I’ve noticed that organizations are – thankfully, finally – becoming much more diverse. Perhaps you’ve noticed the same thing. Perhaps your own colleagues and clients increasingly represent a broader range of cultures, ethnicities, economic statuses, and so on.

It makes sense, then, that cultural intelligence is fast becoming a highly desirable attribute in the workplace. But what exactly is cultural intelligence, why does it matter for workplace success, and how can you become more culturally intelligent? Read on to find out.



What If Consumers Do Not Need The Metaverse?

Big tech and the emerging tech scene has a lot at stake to try and make the metaverse and metatech a success – whether consumers have a need for it remains to be seen.

In the countless numbers of articles written about the metaverse ever since Facebook rebranded itself as Meta, we have learned a lot about what the metaverse and metatech can offer. But one question has remained unanswered to date, which will largely dictate the metaverse’s success – or its failure: what consumer needs does it address?

Searching For The Metaverse’s ‘Killer Feature’

The metaverse and metatech are certainly eye-catching on paper and attract an outsized lot of attention, not the least because of its economic potential. But do consumers actually care? Is there even a need specific to what the metaverse has to offer? Many ground-breaking technologies eventually fail to make it to mass market due to a lack of customer interest, and the fact that they do not address consumer needs. 


    What is reinforcement learning? How AI trains itself

    What are some useful open-source options for reinforcement learning?

    Machine learning (ML) might be considered the core subset of artificial intelligence (AI), and reinforcement learning may be the quintessential subset of ML that people imagine when they think of AI.

    Reinforcement learning is the process by which a machine learning algorithm, robot, etc. can be programmed to respond to complex, real-time and real-world environments to optimally reach a desired target or outcome. Think of the challenge posed by self-driving cars.

    Low-code ML applications help address the challenges of model maintenance, time-to-market, and talent shortage

    Organizations across industries are turning to data and analytics to solve business challenges. A survey by New Vantage Partners found that 91 percent of enterprises have invested in AI. However, the same study found that just 26 percent of these firms have AI in widespread production.

    Organizations are struggling to solve business challenges with AI. They find that building machine learning (ML) applications takes time and requires expensive maintenance and talent that’s in short supply. Leaders say that over 70% of data science projects report minimal or zero business impact.

    Here’s how low-code ML platforms can help tackle these challenges.

    Featured Article


    AI software: Unlocking the value of data to generate stunning new insights

    AI software is the bridge from “data to insights” with the support of “compute and algorithms.”

    AI software: Unlocking the value of data to generate stunning new insights

    Article by @VentureBeat

    Artificial Intelligence (AI) everywhere has the potential to transform every business and improve the life of every person on the planet. In fact, every day we hear about AI breaking new ground, from detecting cancer and playing Minecraft, to creating “sentient” chatbots and generating compelling art. The goal of AI is simple: To accelerate “data to insights.” We have seen tremendous progress in the basic AI ingredients — the exponential growth of “data, compute and algorithms.”

    Data, as measured by the total number of bytes, is in zettabytes. Compute, as measured by hardware execution capacity of operations per second, is in petaflops to exaflops, and algorithms, as measured by the number of parameters in a neural network, have exceeded a trillion.



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    How to Maximise Knowledge Transfer Between Business and Engineering Teams

    In this week’s feature article, discover how to maximise knowledge transfer between business experts and technical engineers to ensure the success of your digital transformation. Learn about creating structured knowledge transfer plans, fostering a learning environment, employing diverse transfer methods, and building trust and collaboration. These strategies will help you bridge knowledge gaps, boost innovation, and enhance operational efficiency. Dive into our expert insights to master the art of seamless collaboration and drive your organisation’s digital transformation forward.

    Strategic Planning Approaches: Top-Down vs. Bottom-Up

    Unravel the complexities of strategic planning with our latest exploration into Strategic Planning Approaches. Whether you’re leaning towards a top-down, bottom-up, or sideways strategy, our insight will guide you through the pros and cons of each method, helping you make informed decisions that align with your business objectives. Perfect for strategists and business leaders aiming to optimize their planning process and drive effective outcomes.

    Digital Sustainability Practices: A Guide to Greener Habits

    Explore the transformative power of digital sustainability practices. This guide unveils how adopting eco-friendly digital habits can significantly reduce your carbon footprint and pave the way for a greener future. Dive into practical tips and strategies for making a positive environmental impact through digital activities.