Category: AI

I’ll ‘Co-Pilot that’

man in office looking stressed

Yesterday I witnessed the first behavioural example of the power of how AI is transforming new ways of working.

In a conversation to fact check some information a colleague told me they would “co-pilot that” rather than physical browse or use the corporate search.

I have been involved in various virtual agent projects where users are directed to engage with chatbots and similar functionality but here was an example of someone’s natural behaviour now using Co-Pilot (other chatbots are available) rather than, what was traditional methods.

It got me thinking that an internal communications or people director’s new best friend needs to be those that are beginning to write the internal code and programming for these language models.

I’ve always been amazed at the lack of interest senior leaders show in the entire process of searching for and sourcing information. The old hierarchy seemed to suffice for trickling down information, but I wonder if this will hold true in the future.

With so much information and data available it’s getting harder to nail down the truth. Our defence against misinformation is steadily weakening. A generation of social media we have emerged with less resilience against deceit and untrustworthy information.

Way back in the early days of Yammer (and other internal social media platforms) organisations were caught on the hop by the power and influence of social media, both internally and externally. Big technology leaps have a massive effect on the information supply and the development of AI within organisations is no different. Those responsible for determining the algorithm for the organisation holds great power.

Who decides to write and validate this. Who holds the pen controls the access to information to an organisation’s corporate voice and memory.

For me it is fascinating not only how we deal with this from a technology perspective, from strategy, governance and implementation, but also how we deal with the new behaviours this develops.

By its nature the programming behind these features will try to understand your goals, needs, beliefs etc (dependent upon various regulations). All the current Chatbots mainly use the language of the calm oracle, being patient and understanding. Cast forward to the future are we going to see these virtual agents develop personalities based on your temperament! Will they understand your resilience or trusting nature. And how do our behaviours then change to deal with the personality types of the chatbots we are developing. It presents a fundamental difference to the ways we approach behaviours in an organisation.

Ignite: It’s Not You, It’s Me – A Tech Enthusiast’s Journey

Ignite: It’s Not You, It’s Me – A Tech Enthusiast’s Journey

It’s mid-December and I’ve only just got around to reading through the updates from Microsoft Ignite, held in November. I’m wondering if this late research is due to myself becoming immune to the Microsoft hype, or a realisation most of the material will not feature in clients mindsets for quite some time – hence the lack of urgency.

Microsoft Ignite has evolved into a cornerstone event for tech enthusiasts and professionals worldwide. Each year, it draws tens of thousands of attendees who are eager to explore the latest innovations and advancements in technology. The event features a diverse array of presentations, from in-depth technical sessions to visionary keynotes, all designed to inspire and educate. However, despite the excitement surrounding these announcements, I often find that the immediate impact is limited. Large companies typically take years to implement new features, which undergo numerous refinements before they are fully integrated into their systems.

The Evolution of Microsoft Ignite: A Tech Enthusiast’s Perspective

Microsoft Ignite has become a beacon for technology professionals and enthusiasts alike, offering a glimpse into the future of tech innovation. Since its inception, Ignite has grown exponentially, both in scale and significance, becoming a must-attend event for anyone involved in the tech industry.

A Brief History

Microsoft Ignite was first held in 2015, merging several smaller conferences into one comprehensive event. This strategic move allowed Microsoft to create a unified platform where developers, IT professionals, and business leaders could converge to share knowledge and insights. Over the years, Ignite has expanded its reach, attracting a global audience and setting the stage for groundbreaking announcements and demonstrations.

Attendance and Presentations

Each year, Microsoft Ignite draws an impressive crowd. The event typically sees attendance numbers soaring into the tens of thousands, with participants coming from all corners of the globe. These attendees are treated to a rich tapestry of presentations, ranging from deep-dive technical sessions to high-level keynotes delivered by industry leaders. The presentations cover a wide array of topics, including cloud computing, artificial intelligence, cybersecurity, and more. This diversity ensures that there is something for everyone, regardless of their specific interests or expertise.

The Reality of Implementation

While the buzz around new features and technologies unveiled at Ignite is palpable, the reality of their implementation is often more subdued. In my experience, large companies are cautious adopters. They tend to take a measured approach, thoroughly testing and refining new features before rolling them out across their organizations. This process can take years, during which the features are continually improved and adapted to meet the specific needs of the company.

A Personal Story

I remember attending Ignite a few years ago, where I was particularly excited about a new AI-driven tool that promised to revolutionize data analysis. The demonstrations were impressive, and the potential applications seemed endless. However, when I returned to my company and shared the news, the response was tempered with caution. Our IT department began a lengthy evaluation process, testing the tool in various scenarios and ensuring it met our stringent security and performance standards. It took nearly two years before we fully integrated the tool into our workflows, by which time it had undergone several updates and enhancements.

Conclusion

Microsoft Ignite continues to be a pivotal event in the tech calendar, offering a platform for innovation and learning. While the immediate impact of new features may be limited by the cautious approach of large companies, the long-term benefits are undeniable. As these features are refined and perfected, they eventually become integral parts of our technological landscape, driving progress and efficiency in ways that were once unimaginable.

Make the noise stop – Agentic AI! 

Make the noise stop – Agentic AI! 

Another buzzword is crashing into the ever-expanding AI lexicon. Just when I thought I had a handle on: 

  • AI – basically, automating and enhancing existing processes. 
  • Generative AI – creating content and conversations (and then some). 

Now, we have Agentic AI (check out Nvidia’s blog for the scoop). It sounds like a digital assistant that’s had one too many cups of virtual espresso! 

This new wave is being hailed as a game-changer in how we perceive and engage with AI in the workplace. It’s the next big breakthrough – though, to be honest, I feel like I might have missed the memo on the previous AI revolutions! 

Whether this is the next big breakthrough or just another industry buzzword remains to be seen. After spending the last 12 months with clients exploring how to extract value from AI, one thing is clear: the missing ingredient is still the ‘people’ factor. The real magic happens when colleagues are coached and confident enough to craft the right prompts and trust the process (assuming there’s some human interaction, of course). 

In a recent Forbes article, I stumbled upon the thrilling potential of AI creating new roles like AI coaches, AI workflow orchestrators, and AI compliance officers. Imagine the possibilities!  

However, just like with other major tech adoptions, such as Microsoft 365, the real challenge lies in overcoming people-related hurdles plus poor information and data management. These obstacles can seriously stunt the growth and value of AI in many organizations. But with the right strategies, the future looks incredibly promising! 

AI and the Future of Work: What Experts Expect

AI and the Future of Work: What Experts Expect

Experts predict the future of work

https://hbr.org/2024/09/what-570-experts-predict-the-future-of-work-will-look-like

Catching up on some articles missed during an autumn break. This is an interesting look into the future.

HBR published a synthesis of what 570 experts think will happen with work and AI.

2026 – Job tasks are partially automated
2029 – New technologies are creating new jobs/industries
2035 – Economic inequality increases dramatically
2037 – Humans work alongside robot colleagues
2042 – Third World War breaks out. No mention of whether Belgium are involved
2046 – Automation leads to shorter work weeks. Yes you’re merely 22 years from a four-day week
2051 – Governments around the world introduce universal basic income
2053 – Breakthroughs in longevity drastically extend the lifespan of the technocratic elite. (I think this means Zuckerberg and Musk are living forever)
2065 – Computers surpass humans on everything
2074 – Human civilisation changed irreversibly by uncontrollable superintelligence beyond our comprehension

The first item that stands out for me is the 2035 prediction if economic inequality. I sense we are there already in many roles and communities.

AI Models Now Reflecting Colleagues in the Real Working World!

AI Models Now Reflecting Colleagues in the Real Working World!

https://www.euronews.com/next/2024/10/01/new-ai-models-are-more-likely-to-give-a-wrong-answer-than-admit-they-dont-know

AI models now reflecting the real working world! How many colleagues have you encountered who never admit they don’t know something?

Future AI models might just mirror this behaviour, offering you options for short, direct answers or responses more laborious than a Monday morning meeting.