{"id":5405,"date":"2023-05-29T00:00:48","date_gmt":"2023-05-29T00:00:48","guid":{"rendered":"https:\/\/www.horsesforsources.com\/?p=5405"},"modified":"2024-09-11T11:35:43","modified_gmt":"2024-09-11T11:35:43","slug":"great_reinvention_043023","status":"publish","type":"post","link":"https:\/\/www.horsesforsources.com\/great_reinvention_043023\/","title":{"rendered":"Seven Golden Recommendations to Reinvent Ourselves for the Generative Enterprise"},"content":{"rendered":"

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The Pandemic will forever go down as a seismic game changer in our lifetimes – and our careers.\u00a0 The whole 2+ year experience took a lot of us, cost so many people loved ones and changed the work\/life perspectives for so many.\u00a0 Now we face a new world where new rules<\/em> are still being set (and those rules are likely to be no actual rules at all), but we are faced with no choice but to reinvent ourselves if we want to remain relevant in the business ecosystem of the future.<\/p>\n

Or we could choose to ignore the change and pray we aren’t assigned to the dinosaur mausoleum anytime soon… it’s critical to prepare ourselves for the Great LLM-ization as AI becomes the interface to the Internet – and to physical business.\u00a0 LLMs will blow a hole in predictable high-cost operations like call center services and back office business process services, where their entire business models will eventually become defunct in the wake of technological and behavioral change.<\/p>\n

Nothing is quite like it was before, and many of us struggle to adapt to these new uncertain surroundings.\u00a0<\/strong><\/p>\n

Scratch that; most<\/em> of us are struggling to re-adapt because there are no hard and fast business rules or norms these days.\u00a0 People guard their time religiously, especially when it comes to leaving the house for meetings, events, or office visits.\u00a0 Meanwhile, many corporates are wracked with politics and toxicity, as many workers panic about upcoming layoffs, driving peculiar behaviors from many.\u00a0 There are so many people existing at home for weeks on end, praying not to get the sack in the next round of layoffs because they know they lack energy and focus. This stress of uncertainty and unfamiliarity with the emerging work environment is having a major negative effect on our mental stamina.\u00a0 <\/em>A lot of folks can barely make it through a full day of meetings these days.<\/p>\n

We are living through a time of realization and reevaluation\u00a0<\/strong><\/p>\n

While I am not going to advocate people to force themselves into an office (those days are pretty much over), I strongly advocate everyone refocus on adapting to the emerging work environment in order to re-energize themselves. The current environment demands you meet regularly with colleagues and clients, suppliers and ecosystem partners if you want to be visible<\/em> and relevant<\/em> in your market.<\/p>\n

So bloody well do something about it! You need to find your mental stamina to hustle again, learn new ways of thinking, and prepare for the AI-dominant future.<\/p>\n

Seven golden recommendations to reinvent ourselves and survive the onslaught of change<\/span><\/h2>\n

1. Accept the way business works has changed… and will keep changing. <\/b>Accept the way things are emerging are not necessarily a mirror of the past<\/i>\u2026 how we interact, invest our time, communicate, influence, focus, relax, etc. Get used<\/em> to change and embrace it.<\/p>\n

2. Prioritize meeting in person with clients and colleagues <\/b>more<\/i><\/b> than ever. <\/b>Don\u2019t fade away in your cave\u2026 the sheer scale of change AI and automation are bringing demands us to lock heads and learn together.\u00a0 There’s nothing wrong with working from home, but nothing is better than locking heads with our colleagues and other people to come up with inspired ideas.<\/p>\n

3. Adopt an autonomous mindset. <\/b>Make a real effort to stop yourself and others wasting time on tasks, interactions, and processes that can be automated. Focus your time on making smart decisions based on the data your systems and teams create for you.\u00a0 And developments in LLM models are adding a whole new dimension to the quality of data and insight at our disposal.<\/p>\n

4. Change your narrative from ‘effort’ to ‘performance’. <\/b>The only way to do more with less <\/i>is to focus on measuring the outcomes we need and the smartest<\/i> way to achieve them. Work with people who share that mentality.\u00a0 We need to focus on speed to data<\/em>, not some trudging, painful set of activities.<\/p>\n

5. Invest time in understanding AI tools and capabilities, or get left well behind. <\/b>Don\u2019t be a dinosaur and get with the program, as AI becomes our interface to the internet. AI is changing business as we know it\u2026 and at pace, both electronically and physically.\u00a0 Large Language Models are quick and easy to learn and don’t need a Ph.D. in mathematics or computer science.\u00a0 These tools are low\/no code environments to develop new workflows or processes that threaten the old guard of programming, where technical staff loved building brick walls to prevent any meaningful business\/IT collaboration. Now those walls are crashing down with the onset of these tools that can find patterns in large bodies of text which can predict the next word to write, create sentences and assemble paragraphs of coherent content.<\/p>\n

6. Humans are ‘back in the loop’ as we have to<\/b>\u00a0prompt AI<\/em> to get ahead of the LLM explosion.\u00a0<\/strong> Prompt engineers are the fastest-emerging class of digitally fluent business\/tech designers.\u00a0 We already using a conversational interface to ask questions and generate text with an LLM in 2023, and we will be unable to avoid it<\/em> by 2024. Learning how to do this effectively will become a standard skill that all of us are expected<\/em> to have. You must understand the mental maps<\/em> to direct what your team does, as LLMs dictate how we interface with the Internet and run our businesses.<\/p>\n

This skillset needed to build effective conversational interfaces is not steeped in NLP or deep learning, instead these LLM orchestration skills<\/em> demand constant self-improvement in the following:<\/p>\n