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Category: Generative Enterprise
People aren’t stupid. Pretending your bots are human will make you fail
Humanizing bots while dehumanizing humans risks creating a soulless enterprise in which efficiency wins, but humanity loses. The meteoric rise of Agentic AI is fundamentally reshaping workplace dynamics as systems evolve from basic automation tools into autonomous digital workers that can execute complex tasks, make decisions, and even mimic human collaboration patterns. In short, after all the noise about bots replacing workers in the workplace over the past decade-plus, we now have technology that is still being positioned by many tech vendors to do just that. This evolution poses a double-edged challenge for enterprise leaders. While Agentic AI promises to unlock massive productivity gains and operational efficiencies, it also threatens to erode the human elements that drive innovation and organizational resilience. Meanwhile, employees face growing pressures to compete with tireless digital counterparts and productivity-obsessed work environments, further straining workplace culture. Read More
Happy one-year birthday, Microsoft Copilot. Now, can you be more than a quick AI win for the lazy CIO?
It’s been exactly two years since ChatGPT 3.0 hit the streets and dramatically changed the AI conversation. One of the key beneficiaries has been Microsoft Copilot, which, in barely one year, has generated a remarkable $1 billion in revenues and created a vehicle for CIOs to claim early “AI victory” to their corporate leaders hungry to exploit the delights of this AI revolution. So, with Microsoft positioning Copilot as the new "UI for AI," what do CIOs and their C-Suite counterparts need to do to achieve more value than a glossy AI veneer?Read More
Welcome to the era of Services-as-Software… where the lines between services and software are blurring
Two very different worlds, one based on humans and the other on technology, are becoming one blended, scalable solution we are calling Services-as-Software. In short, the line between services and software is blurring and eventually vanishing, and this progression has become more crucial than ever.Read More
2030 HFS Services Technology Vision: The Future of Services is No Services
By 2030, we will be engaging with services primarily through technology, minimizing human intervention and maximizing efficiency. In fact, services will barely even be services anymoreRead More
The great GenAI paradox: It can make you dumber
The reality of GenAI integration into the workplace reveals a paradox: while the initial productivity gains are evident, they often come with hidden costs that can offset the benefits by creating new challenges. The highest cost that must be addressed is when people become over-reliant on GenAI to develop solutions and suffer a decline in their learning capabilities.Read More
GenAI or Die
We've finally reached the point in our careers when we need to learn new and more ingenious ways of doing things. No more papering over the cracks, no more passing the problems onto someone else to fix. YOU are the problem that now needs fixing. Generative AI is your secret weapon. It tears down barriers, fuels innovation, and keeps you ahead of the curve. Adapt or perish – the choice is yours.Read More
Ten reasons why GPT-4o will pour fuel onto the GenAI smoldering platform
Having multimodal capability that brings speech, text, video, and content together into one singular neural network that we can communicate with in real-time and immerse into our day-to-day activities is the game changer we have been unwittingly waiting for...Read More
From People to Tech arbitrage: Can we really survive this Great Services Transition?
We are in the S-Curve evolution from People to Technology Arbitrage, that the Generative Enterprise demands. This is truly the Great Services Transition, where the entire financial construct of services relationships is being reinvented to capitalize on the complex new ecosystem of AI platform players, hyperscalers, data integration products, automation tools, LLM builders, and so on. Enterprises must address their debts in these four areas which have likely collected over the last 30+ years: People debt, Process debt, Data debt and Technical debt.Read More
To assure the journey toward the Generative Enterprise™, organizations must show humility for the unknown
Quality assurance (QA), or simply “testing,” as it was called in the old days, can no longer be a reactive afterthought coupled with an unwillingness to invest in quality. Instead, it must become an integral part of the software development lifecycle (SDLC) and take on a much more holistic responsibility for assuring transformational outcomes.Read More
GenAI will crash and burn
We’re sad to inform you all that the GenAI we have grown to love with such intensity will shortly crash and burn. We’ve been here before, folks, when we called the death of RPA five years ago… and we are today calling the death of GenAIRead More
