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What's all in the welcome kit from KGS?
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Do you get bonuses in industry?
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I have and I haven’t! AI is increasingly becoming a crutch for everyday tasks like writing emails and spell-checking. While this convenience is appealing, it's causing people to become less engaged in thinking critically about their actions and the broader impacts of AI.
Moreover, the environmental costs are significant. Data centers consume massive amounts of water and electricity, generate e-waste, and rely on unsustainable mining for critical minerals. The Congo is seeing this impact. The energy demands, largely met by fossil fuels, worsen global warming. AI's benefits are real, but so are its environmental and ethical challenges.
P2: Not sure what’s unclear. The original question was about implementation , and I answered accordingly. If you're looking for client case studies, as a consultant, you should be able to provide those yourself. Otherwise, feel free to move along.
Uh….we’re doing it at scale w/ measurable impact. You need no kidding data engineers and full stack devs teamed w/ content experts deployed in pods. Fish in a barrel. Coming for your job next…..
When you say “Scale”…you mean the Accenture trademarked Scale?
F*** I wish we could make s*** up as well as you guys do.
There are some really groundbreaking use cases tho
Enthusiast
Elon Musk will implement across entire federal government this year very easily. So many tasks that can “easily” by automated by AI 😁
Enthusiast
Not my expertise by any stretch but sounds right. Now getting that well implemented is another matter though
Yes...
I feel big 4's are talking about it. More niche tech shops are just doing it.
We’re using it to write code, and makes us way faster than before. Orders of magnitude. But we haven’t figured out how that should adjust our commercials yet, or our existing staffing model.
lol, way to take the opportunity to jab even in the Partner’s bowl 🤣.
Principal1 has it right - the code generated by our junior offshore teams is terrible. So is the code generated by your army of offshore devs Deloitte, fwiw.
I’m not sure what exactly you’re using, but me and my onshore teams have been using Windsurf.ai and/or Cursor lately and those things analyze your local code base and provide real time, contextualized additions / edits. They will create an entire new set of Models, Controllers, Views, Data Migrations, Validations, Test Scripts, etc. in seconds, purely from interactive chat. And it’s usually about 80% - 90% exactly what is needed. We can create scaffolded skeleton apps, and fly through building custom functionality far faster than was possible before.
If all you’re doing is asking ChatGPT in a browser to “build” you something, then yes of course that’s not faster than just writing from scratch. But if that’s what you’re doing, then that says more about your level of depth than it does about the state of GenAI and its ability to accelerate work product 😏.
Remember when we had this same conversation about blockchain 😂😂. So many discussions, so few actual implementations
Until this whole concept of AI hallucinations is not a thing anymore, im not pushing any AI discussions with my clients
We were talking about cloud and mobile too long before they were mainstream, selling the dream :)
Not except right last week - but you say it does not count: using copilot to align and build database schemas; in fact it accelerated us possibly ten-fold. My first! Why it does not count?
We deployed a couple of use cases in risk and compliance as a first line of review for disclosures and complaints and then managers go in and review/approve the results. About 40% reduction in work effort
Lots of our clients, across all areas of AI, and yes, including Copilot (M365, Studio and custom).
We're nowhere near AI being a foundational capability though. It's generally not at scale, where most use cases are a point solution derived from a PoC. I think that's what is driving the use case fatigue.
There are lots of production AI solutions out there driving real ROI. It's just one brick at a time for now.
AI to write RfPs. AI to write responses. AI to summarize responses…
The real problem is those that are actually doing things with AI and GenAI aren’t in the room. We as consultants are a bunch of hype, talking to “buyers” that are also trying to fake it til they make it.
The coding use case is great until we realize that it’s actually cheaper (per annum) to continue to hire and use bottom barrel dev teams in India or other offshore locations than it is to actually deploy and use AI. No one in this economy has $XXX million to invest in AI unless you are an AI company.
It can be both. Just as 3 Indian devs can replace 1 US dev for half the price, 2 Indian devs + AI can replace the 3 for less money. Eventually 1 will replace the 3. The real problem for us is that no client is going to hire a consulting firm to build them a custom AI Coding Assistant, they'll just buy CoPilot or Cursor licenses that plug right into their dev environment. Even the RAG use case will eventually be plug and play by the platform vendors - upload your docs and get generative search results.
Well we have deployed quite a few production GenAI use cases over the past couple of years and are doing more now. Agree there is a lot of hype and it’s not happening as fast as people think but if properly implemented the benefits are impressive
AI is broad...as far as Gen AI, it is definitely catching up.
Coding Assistants and Chat With Your Docs (enterprise search replacement) represent 99% of the real world use cases in the enterprise.
I hear the talk but no one has shown the impact to the bonus pool yet.
Seeing Agentic AI forecasting and investments in workforce, primarily white collar so far but some sniffing at more robotic agents abd blue collar.
To our business so far it’s in workforce planning and Talent Strategy (O/D, TA, Etc.)
Im never ever going to pitch anything AI until the concept of AI hallucinations ain't a thing anymore