dan fiehn
dan fiehn

+44 (0)7788 591000  |  Info@fiehn.co.uk

This week, three trusted CEO Digital Strategies to face the new world.

 

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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Everything You’ve Ever Wanted to Know About Machine Learning

Putting the fun in fundamentals! A collection of short videos to amuse beginners and experts alike

Looking for a fun introduction to AI with a sense of humor? Look no further than Making Friends with Machine Learning (MFML), a lovable free YouTube course designed with everyone in mind. Yes, everyone. If you’re reading this, the course is for you!

Short form videos: Most of the videos below are 1–5 minutes long, which means you get to upgrade your knowledge in bite-sized, well, bites. Tasty bites! Dive right in at the beginning or scroll down to find the topic you’d like to learn more about.

Long form videos: For those who prefer to learn in 1–2 hour feasts, the course is also available as 4 longer installments here.

 

Want To Drive The Future Of Your Business? Consider A Role In People Analytics

What makes People Analytics such an important emerging career?

Historically, we tend to put people in professional boxes based on their natural skill sets. If a recent graduate loves numbers and analytics, they’re told to pursue a role in finance or join a business analytics team.

If a candidate loves understanding what makes people tick, they may find themselves drawn toward HR and People Strategy. But in today’s people-forward and data-driven workforce, these old rules are antiquated—and these two seemingly opposite skill sets can be incredibly powerful when brought together.

I recently spoke with Patty Smith, People Analytics Partner at Cruise, who is proof that there are a lot of choices on the People side of business for individuals who are drawn to data sets as much as they are to solving human-centric challenges. 

 

 

If data is the new oil, synthetic data is an ethical and renewable alternative.

The challenge for AI developers is where to source this data.

 

    Deep Dive: How AI content generators work

    Developing an AI tool that can completely replace a person while matching human authors will take time.

     

    Artificial intelligence (AI) has been steadily influencing business processes, automating repetitive and mundane tasks even for complex industries like construction and medicine.

    While AI applications often work beneath the surface, AI-based content generators are front and center as businesses try to keep up with the increased demand for original content. However, creating content takes time, and producing high-quality material regularly can be difficult. For that reason, AI continues to find its way into creative business processes like content marketing to alleviate such problems.

    AI can effectively personalize content marketing to the audience it is aimed at, according to David Schubmehl, research vice president for conversational AI and intelligent knowledge discovery at IDC. 

    Partnerships are the way forward, Diveplane says.

    Black box” artificial intelligence (AI) systems are designed to automate decision-making, mapping a user’s features into a class predicting individual behavioral traits such as credit risk, health status, and so on, without revealing why. This is problematic, not only because of the lack of transparency, but also because of potential biases inherited by algorithms from human prejudices or any hidden elements in the training data that may result in unfair or incorrect decisions. 

    As AI continues to proliferate, there is an increasing need for technology companies to demonstrate the ability to trace back through the decision-making process, a functionality called explainable AI. This would essentially help them understand why a certain prediction or decision was made, what the important factors were in making that prediction or decision, and how confident the model is in that prediction or decision.

    Featured Article

     

    Three Trusted CEO Digital Strategies To Face The New World

    Today’s times require visionary, inspired CEOs, not timid retrenchment. Are you and your organization ready?

    Three Trusted CEO digital Strategies To Face The New World

    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.

     

    THE DIGITAL EYE

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    Agile Project Failure: The Hidden Cultural Barrier Undermining Success

    Despite being a well-established methodology, agile project failure continues to plague organisations, with success rates hovering around 42%. But is the problem really with the process? This week’s feature article uncovers the hidden cultural issues stifling true agility, revealing why many agile projects fall short of their potential and how a shift in mindset could be the key to success.

    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.