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Category: GenAI
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
GBS (Global Business Services) is dead. Long live GBS (Generative Business Services)
For more than two decades, Global Business Services (GBS), the centralized service delivery model leveraging a mix of internal shared services and/or 3rd party outsourcing, has been a tried and tested modus operandi for large enterprises to save costs, drive process discipline and improve compliance.However, with the rapid advent of real generative AI capability, the current GBS model is dated, fails to deliver much (if any) value beyond cost and efficiency and has struggled to create viable career opportunities for ambitious talent. Let’s face it, GBS is still stuck squarely in the back office and fails to provide a career track for the best and brightest to pivot their firms into the generative AI era.Read More
Why actions will eat code
After a remarkable journey through the era of computerization and its remarkable contributions, we stand at a pivotal moment of innovation. It's time to bid farewell to a core element that has been instrumental in its success: We must undertake a comprehensive reevaluation of our enterprise application suites and the ecosystem of coding that has been central to their development and support. Our future is all about visible actions and invisible technology...Read More
We’re entering the Third Phase of AI: Purposeful AI
Welcome to the Purposeful AI where humans set the goals and the boundaries, and your AI is empowered to deliver on the actions. This 'Third Phase of AI' follows from Foundational AI and Generative AI and is designed to make independent decisions – acting with autonomy within human-defined boundaries. Purposeful AI goes beyond a one-time-only assembly of rules of engagement. It will learn from its interactions and from prompts provided by humans to constantly improve its capabilities to action their desired outcomes in real-timeRead More
India’s bloated IT services firms must learn from their startups to avoid GenAI meltdown
Having just spent a lovely week in India leading an HFS special event in Mumbai, followed by speaking at the Nasscom Technology Leadership Forum, I was overwhelmed with concern that so many leaders in India's services industry really have no concept of what is going to hit them. Indian support services could lose a million positions over the next couple of years as LLMs rapidly change how routine IT testing and coding work are delivered.Read More
Francis chances with HFS!
We are thrilled to announce a significant addition to the HFS Research team, as we welcome Francis Carden as our new Chief Technology Evangelist. Francis brings with him a wealth of experience and expertise that will undoubtedly enhance our capabilities and benefit our clients.Francis brings four decades of invaluable experience in the realm of software automation, having co-founded successful companies such as Pixel Innovations and OpenSpan. In 2016, Pega acquired OpenSpan to launch its RPA capabilities, and Francis led Pega's digital automation and robotics business.Read More
Are the Big 4 about to get their lunch eaten by GenAI?
Up until November 30th, 2022, the Big 4 consultants dined on the ineptitude of large enterprises to move bad processes into the cloud, while the Indian heritage outsourcers fed on the tasty scraps of supplying armies of low-wage talent at scale to keep these hulking institutions somehow functioning. Nothing has disrupted the cozy status quo of big enterprise technology transformations more than GenAI. It has been a true leveler across the industry where suddenly everyone is operating on a level playing field, trying to convince the world they have a better GenAI story than their competitors. Our industry has been equalized, and a new set of winners are going to emerge...Read More
One small hop for tech, one giant leap for mankind… can Rabbit’s Large Action Model disrupt how we get things done?
Large Action Models (LAM) are the most exciting development in AI evolution since ChatGPT was launched. Having an AI assistant not dependent on islands of apps that do not integrate with each other is everything we've been crying out for... But the future potential of LAMs is a lot bigger than addressing this burning problem plaguing our smartphone lives - it also has significant implications for the future of enterprise tech. It's just incredible that while Google, Meta, Microsoft, et al. are all working on the evolution of LLMs toward actions and problem-solving, a startup like Rabbit is allegedly ahead of them.Welcome rabbit.tech and step forward Jesse Lyu, who could well be the new Chinese Steve Jobs.Read More
Only humans can make AI ‘ethical’. Machines make it transparent and accurate
Many tech firms and service providers have done themselves no favors by lumping ethics in the same ‘AI governance’ bucket as accuracy and transparency. In doing so, they have muddied the waters. Ethics, accuracy, transparency, and openness are fundamentally different. Hard-coding ethics into AI could prove an extraordinarily arrogant and risky thing for any human to attempt today. Read More
