dan fiehn
dan fiehn

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

The digital demands on us at work are often hidden and unappreciated.

As technology advances and evolves, we’re learning more and more about the impact automation can have on businesses.

 It’s become clear that one of the most significant advantages of automation is its ability to increase efficiency by freeing us all up. But what isn’t as obvious are its hidden effects on existing workforces- particularly how automation could change employee roles without us even realising it.

This week’s feature article explores key ways digital demands transform workspaces and impact workers across corporate industries.

IT Sustainability Post

IT Sustainability. Stopping Inefficiency Is More Helpful Than You Think

Learn about the hidden business costs of inefficiency and how we can all take tangible steps to reduce our impact.

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Generative AI: The Next Frontier for Enterprises

Preparing Your Business for the Future of AI-Generated Content and Creativity.

 

The gradual march to AGI

Marketability is perhaps the secret sauce in AGI’s emergence. We can expect that AGI development will create capabilities that are individually marketable.

The coming of artificial general intelligence (AGI) — the ability of an artificial intelligence to understand or learn any intellectual task that a human can — is inevitable. Despite the predictions of many experts that AGI might never be achieved or will take hundreds of years to emerge, I believe it will be here within the next decade.

 

Why artificial general intelligence is coming

 

How can I be so certain? We already have the know-how to produce massive programs with the capacity for processing and analyzing reams of data faster and more accurately than a human ever could. And in truth, massive programs may not be necessary anyway. Given the structure of the neocortex (the part of the human brain we use to think) and the amount of DNA needed to define it, we may be able to create a complete AGI in a program as small as 7.5 megabytes.

What does a customer success manager do?

The customer success manager is an essential CX role that takes a proactive approach to ensuring customer loyalty and retention when the sales process is complete.

In recent years, organizations have realized that, after completing a sale, they must nurture a continuing relationship with the customer.

Yet, that relationship takes more than periodic surveys, automated reporting and predictive analysis. It requires human interaction, which often falls to a customer success manager. This role’s purpose is to establish deep relationships with customers.

It is not a sales or technical role, but is consultative, where the customer is the client and the organization can offer solutions to their issues.

 

Web 3.0 security risks: What you need to know

Elements of the third version of the web are coming to fruition. But Web 3.0 also comes with new cybersecurity, financial and privacy threats besides the familiar risks of Web 2.0.

The next chapter of the internet’s evolution isn’t just about a highly decentralized architecture; it will bring with it a host of security implications. These early days of so-called Web 3.0 have brought a surge in funding, development and hype, but also fraud and cybersecurity incidents.

As the broader market grapples with the potential and perils of a more decentralized internet, web developers and users must consider Web 3.0 in context, including its security features and risks.

The Rise of Artificial Intelligence: Transforming the Future of Work and Society

Despite these challenges, the potential benefits of AI are enormous. AI has the potential to transform industries and create new opportunities for innovation and growth.

 

Feature Article

 

DIGITAL Demands: 3 Hidden Ways Automation is Impacting Workers

Automation and digitalization increasingly require workers with specialised knowledge for specific tasks, three experts say.

DIGITAL Demands: 3 Hidden Ways Automation is Impacting Workers

Article by @wef

Wage inequality is on the rise as much as wealth inequality.

There is consensus that part of this rise is due to technological progress. The exact mechanism by which modern technology adoption affects inequality, however, is still open to debate. Katz and Murphy (1982) have popularised the view that, by assigning large premia to education, ‘skill-biased technological change’ (SBTC) raises wage inequality via vertical skill acquisition.

Previous waves of technology improvements, however, did not produce the same effects, prompting researchers to ask what is special about the most recent waves. Recent studies indicate that the premium is not so much related to skill per se, but to the task content of each occupation. Certain tasks, particularly non-routine ones, are in high demand and earn extra premia, a view that has been labelled routine-task-biased technological change.

While with skill-biased technological change new technology complements workers with high skills, with ‘routine-biased technological change’ (RBTC) new technology decreases demand for workers in traditional routine tasks while creating additional demand for workers in new complex tasks.

 

THE DIGITAL EYE

I hope these articles are valuable.

I am passionate about technology, and I want to share that passion with you. I believe that it’s essential for everyone to stay up-to-date on the latest trends, so I’ve set out to cover all aspects of the industry – from data analytics to blockchain and AI.

Please let me know if you want to see any other topics covered, and I would appreciate your help sharing this blog with others interested.

 

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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.

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